Profile of the journals.
\r\n\t
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He has a PhD in Nutritional Biology from the University of California, Davis. His PhD dissertation research involved investigating the effects of soy isoflavones on liver detoxification enzyme activities in rodent and cell culture models. His research interests include the mechanisms by which fatty acids impact the risk factors for cardiovascular disease. He has multiple publications and presentations on this topic. 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LIS is a field of both professional practice and scientific inquiry. As a field of practice, it includes the profession of librarianship as well as a number of other information professions, all of which assume the interplay of the following:
information content,
the people who interact with the content, and
the technology used to facilitate the creation, communication, storage, or transformation of the content [3].
The disciplinary foundation of LIS, which began in the 1920s, aimed at providing a theoretical foundation for the library profession. LIS has evolved in close relationship with other fields of research, especially computer science, communication studies, and cognitive sciences [4].
The connection of LIS with professional practice, on one hand, and other research fields on the other has influenced its research orientation and the development of methodological tools and theoretical perspectives [5]. Research problems are diverse, depending on the research direction, local trends, etc. Most of them relate to the professional practice although there are theoretical research statements as well. LIS research strives to address important information issues, such as these of “
Library and information science research has been often criticized as being fragmentary, narrowly focused, and oriented to practical problems [11]. Many authors have noticed limited use of theory in published research and have advocated greater use of theory as a conceptual basis in LIS research [4, 11–14]. Feehan et al. [13] claimed that LIS literature has not evolved enough to support a rigid body of its own theoretical basis. Jarvelin and Vakkari [15] argued that LIS theories are usually vague and conceptually unclear, and that research in LIS has been dominated by a paradigm which “
In this chapter, after briefly discussing the role of theory in LIS research, we provide an updated view of research issues in the field that will help scholars and students stay informed about topics related to research strategies and methods. To accomplish this, we describe and analyze patterns of LIS research activity as reflected in prominent library journals. The analysis of the articles highlights trends and recurring themes in LIS research regarding the use of multiple methods, the adoption of qualitative approaches, and the employment of advanced techniques for data analysis and interpretation [17].
The presence of theory is an indication of research eminence and respectability [18], as well as a feature of discipline’s maturity [19, 20]. Theory has been defined in many ways. “
Glazier and Grover [24] proposed a model for theory‐building in LIS called “circuits of theory.” The model includes taxonomy of theory, developed earlier by the authors [11], and the critical social and psychological factors that influence research. The purpose of the taxonomy was to demonstrate the relationships among the concepts of research, theory, paradigms, and phenomena. Phenomena are described as “
In an effort to propose a framework for a unified theory of librarianship, McGrath [27] reviewed research articles in the areas of publishing, acquisitions, classification and knowledge organization, storage, preservation and collection management, library collections, and circulations. In his study, he included articles that employed explanatory and predictive statistical methods to explore relationships between variables within and between the above subfields of LIS. For each paper reviewed, he identified the dependent variable, significant independent variables, and the units of analysis. The review displayed explanatory studies “
Recent LIS literature provides several analyses of theory development and use in the field. In a longitudinal analysis of information needs and uses of literature, Julien and Duggan [28] investigated, among other things, to what extent LIS literature was grounded in theory. Articles “
Pettigrew and McKechnie [29] analyzed 1160 journal articles published between 1993 and 1998 to determine the level of theory use in information science research. In the absence of a singular definition of theory that would cover all the different uses of the term in the sample of articles, they operationalized “theory” according to authors’ use of the term. They found that 34.1% of the articles incorporated theory, with the largest percentage of theories drawn from the social sciences. Information science itself was the second most important source of theories. The authors argued that this significant increase in theory use in comparison to earlier studies could be explained by the research‐oriented journals they selected for examination, the sample time, and the broad way in which they defined “theory.” With regard to this last point, that is, their approach of identifying theories only if the author(s) describe them as such in the article, Pettigrew and McKechnie [29] observed significant differences in how information science researchers perceive theory:
Kim and Jeong [16] examined the state and characteristics of theoretical research in LIS journals between 1984 and 2003. They focused on the “theory incident,” which is described as “an event in which the author contributes to the development or the use of theory in his/her paper.” Their study adopted Glazier and Grover’s [24] model of “circuits of theory.” Substantive level theory was operationalized to a tested hypothesis or an observed relationship, while both formal and grand level theories were identified when they were named as “theory,” “model,” or “law” by authors other than those who had developed them. Results demonstrated that the application of theory was present in 41.4% of the articles examined, signifying a significant increase in the proportion of theoretical articles as compared to previous studies. Moreover, it was evident that both theory development and theory use had increased by the year. Information seeking and use, and information retrieval, were identified as the subfields with the most significant contribution to the development of the theoretical framework.
In a more in‐depth analysis of theory use in Kumasi et al. [30] qualitatively analyzed the extent to which theory is meaningfully used in scholarly literature. For this purpose, they developed a
It is evident from the above discussion that the treatment of theory in LIS research covers a spectrum of intensity, from marginal mentions to theory revising, expanding, or building. Recent analyses of the published scholarship indicate that the field has not been very successful in contributing to existing theory or producing new theory. In spite of this, one may still assert that LIS research employs theory, and, in fact, there are many theories that have been used or generated by LIS scholars. However, “
LIS is a very broad discipline, which uses a wide range of constantly evolving research strategies and techniques [32]. Various classification schemes have been developed to analyze methods employed in LIS research (e.g., [13, 15, 17, 33–35, 38]). Back in 1996, in the “research record” column of the Journal of Education for Library and Information Science, Kim [36] synthesized previous categories and definitions and introduced a list of research strategies, including data collection and analysis methods. The listing included four general research strategies: (i) theoretical/philosophical inquiry (development of conceptual models or frameworks), (ii) bibliographic research (descriptive studies of books and their properties as well as bibliographies of various kinds), (iii) R&D (development of storage and retrieval systems, software, interface, etc.), and (iv) action research, it aims at solving problems and bringing about change in organizations. Strategies are then divided into quantitative and qualitative driven. In the first category are included descriptive studies, predictive/explanatory studies, bibliometric studies, content analysis, and operation research studies. Qualitative‐driven strategies are considered the following: case study, biographical method, historical method, grounded theory, ethnography, phenomenology, symbolic interactionism/semiotics, sociolinguistics/discourse analysis/ethnographic semantics/ethnography of communication, and hermeneutics/interpretive interactionism (p. 378–380) [36].
Systematic studies of research methods in LIS started in the 1980s and several reviews of the literature have been conducted over the past years to analyze the topics, methodologies, and quality of research. One of the earliest studies was done by Peritz [37] who carried out a bibliometric analysis of the articles published in 39 core LIS journals between 1950 and 1975. She examined the methodologies used, the type of library or organization investigated, the type of activity investigated, and the institutional affiliation of the authors. The most important findings were a clear orientation toward library and information service activities, a widespread use of the survey methodology, a considerable increase of research articles after 1960, and a significant increase in theoretical studies after 1965.
Nour [38] followed up on Peritz’s [37] work and studied research articles published in 41 selected journals during the year 1980. She found that survey and theoretical/analytic methodologies were the most popular, followed by bibliometrics. Comparing these findings to those made by Peritz [37], Nour [38] found that the amount of research continued to increase, but the proportion of research articles to all articles had been decreasing since 1975.
Feehan et al. [13] described how LIS research published during 1984 was distributed over various topics and what methods had been used to study these topics. Their analysis revealed a predominance of survey and historical methods and a notable percentage of articles using more than one research method. Following a different approach, Enger et al. (1989) focused on the statistical methods used by LIS researchers in articles published during 1985 [39]. They found that only one out of three of the articles reported any use of statistics. Of those, 21% used descriptive statistics and 11% inferential statistics. In addition, the authors found that researchers from disciplines other than LIS made the highest use of statistics and LIS faculty showed the highest use of inferential statistics.
An influential work, against which later studies have been compared, is that of Jarvelin and Vakkari [15] who studied LIS articles published in 1985 in order to determine how research was distributed over various subjects, what approaches had been taken by the authors, and what research strategies had been used. The authors replicated their study later to include older research published between 1965 and 1985 [40]. The main finding of these studies was that the trends and characteristics of LIS research remained more or less the same over the aforementioned period of 20 years. The most common topics were information service activities and information storage and retrieval. Empirical research strategies were predominant, and of them, the most frequent was the survey. Kumpulainen [41], in an effort to provide a continuum with Jarvelin and Vakkeri’s [15] study, analyzed 632 articles sampled from 30 core LIS journals with respect to various characteristics, including topics, aspect of activity, research method, data selection method, and data analysis techniques. She used the same classification scheme, and she selected the journals based on a slightly modified version of Jarvelin and Vakkari’s [15] list. Library services and information storage and retrieval emerged again as the most common subjects approached by the authors and survey was the most frequently used method.
More recent studies of this nature include those conducted by Koufogiannakis et al. [42], Hildreth and Aytac [43], Hider and Pymm [32], and Chu [17]. Koufogiannakis et al. [42] examined research articles published in 2001 and they found that the majority of them were questionnaire‐based descriptive studies. Comparative, bibliometrics, content analysis, and program evaluation studies were also popular. Information storage and retrieval emerged as the predominant subject area, followed by library collections and management. Hildreth and Aytac [43] presented a review of the 2003–2005 published library research with special focus on methodology issues and the quality of published articles of both practitioners and academic scholars. They found that most research was descriptive and the most frequent method for data collection was the questionnaire, followed by content analysis and interviews. With regard to data analysis, more researchers used quantitative methods, considerably less used qualitative‐only methods, whereas 61 out of 206 studies included some kind of qualitative analysis, raising the total percentage of qualitative methods to nearly 50%. With regard to the quality of published research, the authors argued that “
In summary, the literature shows a continued interest in the analysis of published LIS research. Approaches include focusing on particular publication years, geographic areas, journal titles, aspects of LIS, and specific characteristics, such as subjects, authorship, and research methods. Despite the abundance of content analyses of LIS literature, the findings are not easily comparable due to differences in the number and titles of journals examined, in the types of the papers selected for analysis, in the periods covered, and in classification schemes developed by the authors to categorize article topics and research strategies. Despite the differences, some findings are consistent among all studies:
Information seeking, information retrieval, and library and information service activities are among the most common subjects studied,
Descriptive research methodologies based on surveys and questionnaires predominate,
Over the years, there has been a considerable increase in the array of research approaches used to explore library issues, and
Data analysis is usually limited to descriptive statistics, including frequencies, means, and standard deviations.
Articles published between 2011 and 2016 were obtained from the following journals: Library and Information Science Research, College & Research Libraries, Journal of Documentation, Information Processing & Management, and Journal of Academic Librarianship (Table 1). These five titles were selected as data sources because they have the highest 5‐year impact factor of the journals classified in Ulrich’s Serials Directory under the “Library and Information Sciences” subject heading. From the journals selected, only full‐length articles were collected. Editorials, book reviews, letters, interviews, commentaries, and news items were excluded from the analysis. This selection process yielded 1643 articles. A stratified random sample of 440 articles was chosen for in‐depth analysis (Table 2). For the purpose of this study, five strata, corresponding to the five journals, were used. The sample size was determined using a margin of error, 4%, and confidence interval, 95%.
Libr & Inf Sci Res | Coll & Res Libr | J Doc | Inf Proc & Manag | J Acad Libr | |
---|---|---|---|---|---|
Scope | The research process in library and information science as well as research findings and, where applicable, their practical applications and significance | All fields of interest and concern to academic and research libraries | Theories, concepts, models, frameworks, and philosophies related to documents and recorded knowledge | Theory, methods, or application in the field of information science | Problems and issues germane to college and university libraries |
Publisher | Elsevier | ACRL | Emerald | Elsevier | Elsevier |
Start year | 1979 | 1939 | 1945 | 1963 | 1975 |
Frequency | Quarterly | Bi‐monthly | Bi‐monthly | Bi‐monthly | Bi‐monthly |
5‐year impact factor | 1.981 | 1.617 | 1.480 | 1.468 | 1.181 |
Profile of the journals.
Titles | Total number of articles | Articles selected |
---|---|---|
Libr & Inf Sci Res | 214 | 57 |
Coll & Res Libr | 233 | 62 |
J of Docum | 304 | 81 |
Inf Proc & Manag | 432 | 116 |
J Acad Libr | 460 | 123 |
Journal titles.
Each article was classified as either research or theoretical. Articles that employed specific research methodology and presented specific findings of original studies performed by the author(s) were considered research articles. The kind of study may vary (e.g., it could be an experiment, a survey, etc.), but in all cases, raw data had been collected and analyzed, and conclusions were drawn from the results of that analysis. Articles reporting research in system design or evaluation in the information systems field were also regarded as
Each article was classified into a topical category according to its main subject. The articles classified as research were then further explored and analyzed to identify (i) research approach, (ii) research methodology, and (iii) method of data analysis. For each variable, a coding scheme was developed, and the articles were coded accordingly. The final list of the analysis codes was extracted inductively from the data itself, using as reference the taxonomies utilized in previous studies [15, 32, 43, 45]. Research approaches “
Research methodology | Description |
---|---|
Action research | Systematic procedure for collecting information about and subsequently improving a particular situation in a setting where there is a problem needing a solution or change |
Bibliometrics | “A series of techniques that seeks to quantify the process of written communication” (Ikpaahindi, 1985). The most common type of bibliometric research is citation analysis |
Case study | In‐depth exploration of an activity, an event, a program, etc., usually using a variety of data collection procedures |
Content analysis | Analysis (qualitative or quantitative) of secondary text or visual material |
Ethnography | Study of behavior, actions, etc. of a group in a natural setting |
Experiment | Pre‐experimental designs, quasi‐experiments, and true experiments aiming at investigating relationships between variables establishing possible cause‐and‐effect relationships |
Grounded theory | The development of a theory “of a process, action, or interaction grounded in the views of participants” (Creswell, 2014, p. 87) |
Mathematical method | Studies employing mathematical analysis (e.g., integrals) |
Phenomenological | The study of the lived experiences of individuals about a phenomenon (Creswell, 2009) |
Secondary data analysis | Use of existing data (e.g., circulation statistics, institutional repository data, etc.) to answer the research question(s) |
Survey | Descriptive research method used to “describe the characteristics of, and make predictions about, a population” (“LARKS: Librarian and Researcher Knowledge Space,” 2017) |
System and software analysis/design | Development and experimental evaluation of tools, techniques, systems, etc. related to information retrieval and related areas |
Coding schema for research methodologies.
Descriptive statistics,
Inferential statistics,
Qualitative data analysis,
Experimental evaluation, and
Other methods,
Descriptive statistics are used to describe the basic features of the data in a study. Inferential statistics investigate questions, models, and hypotheses. Mathematical analysis refers to mathematic functions, etc. used mainly in bibliometric studies to answer research questions associated with citation data. Qualitative data analysis is the range of processes and procedures used for the exploration of qualitative data, from coding and descriptive analysis to identification of patterns and themes and the testing of emergent findings and hypotheses. It was used in this study as an overarching term encompassing various types of analysis, such as thematic analysis, discourse analysis, or grounded theory analysis. The class experimental evaluation was used for system and software analysis and design studies which assesses the newly developed algorithm, tool, method, etc. by performing experiments on selected datasets. In these cases, “experiments” differ from the experimental designs in social sciences. Methods that did not fall into one of these categories (e.g., mathematical analysis, visualization, or benchmarking) were classified as
Ten percent of the articles were randomly selected and used to establish inter‐rater reliability and provide basic validation of the coding schema. Cohen’s kappa was calculated for each coded variable. The average Cohen’s kappa value was κ = 0.60, p < 0.000 (the highest was 0.63 and lowest was 0.59). This indicates a substantial agreement [48]. The coding disparities across raters were discussed, and the final codes were determined via consensus.
Table 4 presents the distribution of articles over the various topics, for each of which a detailed description is provided. The five most popular topics of the papers in the total sample of 440 articles were “information retrieval,” “information behavior,” “information literacy,” “library services,” and “organization and management.” These areas cover over 60% of all topics studied in the papers. The least‐studied topics (covered in less than eight papers) fall into the categories of “information and knowledge management,” “library information systems,” “LIS theory,” and “infometrics.”
Topic | Description | % |
---|---|---|
Information retrieval | Theory, algorithms, and experiments in information retrieval, issues related to data mining, and knowledge discovery | 21.6 |
Information behavior | Interaction of individuals with information sources. Topics such as information access, information needs, information seeking, and information use are included here | 15.0 |
Information literacy | Issues related to information literacy and bibliographic instruction (methods, assessment, competences and skills, attitudes, etc.) | 9.5 |
Library services | Issues related to different library services, such as circulation, reference services, ILL, digital services, etc., including innovative programs and services | 9.3 |
Organization and management | Elements of library management and administration, such as staffing, budget, financing, etc. and issues related to the assessment of library services, standards, etc. | 7.3 |
Scholarly communication | Issues related to different aspects of scholarly communication, such as publishing, open access, analysis of literature, methods, and techniques for the evaluation and impact of scientific research (e.g., journal rankings, bibliometric indices, etc.) | 5.7 |
Digital libraries and metadata | Issues related to digital collections, digital libraries, institutional repositories, design and use of metadata, as well as data management and curation activities | 4.3 |
Knowledge organization | Processes (e.g., cataloguing, subject analysis, indexing and classification) and knowledge and information organization systems (e.g., classification systems, lists of subject headings, thesauri, ontologies) | 4.3 |
Library collections | Development and evaluation of all types of library collections, including special collections. Issues related to e‐resources (e‐books, e‐journals, etc.), including their use, evaluation, management, etc. | 3.9 |
Library personnel | Issues related to library personnel (qualifications, professional development, professional experiences, etc.) | 3.6 |
Research in LIS | Issues related to research methods employed in LIS research as well as librarians’ engagement in research activities | 3.0 |
Social media | Issues related to social media (facebook, twitter, blogs, etc.) and their use by both libraries and library users | 2.5 |
Spaces and facilities | Library buildings, library as place | 2.0 |
Information/knowledge management | Issues related to the process of finding, selecting, organizing, disseminating, and transferring information and knowledge | 1.6 |
Library information systems | Issues related to different aspects of information systems, such as OPAC, ILS, etc. Design, content, and usability of library websites | 1.6 |
LIS theory | Issues related to theoretical aspects of LIS and theoretical studies on the transmission, processing, utilization, and extraction of information | 1.6 |
Infometrics | The use of mathematical and statistical methods in research related to information. Bibliometrics and webometrics are included here | 1.1 |
Other | Topics that could not be classified anywhere else and were represented by minimal number of articles (e.g., information history, faculty‐librarian cooperation) | 2.0 |
Total | 100 |
Article topics.
Figure 1 shows how the top five topics are distributed across journals. As expected, the topic “information retrieval” has higher publication frequencies in Information Processing & Management, a journal focusing on system design and issues related to the tools and techniques used in storage and retrieval of information. “Information literacy,” “information behavior,” “library services,” and “organization and management” appear to be distributed almost proportionately in College & Research Libraries. “Information literacy” seems to be a more preferred topic in the Journal of Academic Librarianship, while “information behavior” is more popular in the Journal of Documentation and Library & Information Science Research.
Distribution of topics across journals.
Of all articles examined, 343 articles, which represent the 78% of the sample, reported empirical research. The rest 22% (N = 97) were classified as non‐empirical research papers. Research articles were coded as quantitative, qualitative, or mixed methods studies. An overwhelming majority (70%) of the empirical research articles employed a quantitative research approach. Qualitative and mixed methods research was reported in 21.6 and 8.5% of the articles, respectively (Figure 2).
Research approach.
Table 5 presents the distribution of research approaches over the five most famous topics. The quantitative approach clearly prevails in all topics, especially in information retrieval research. However, qualitative designs seem to gain acceptance in all topics (except information retrieval), while in information behavior research, quantitative and qualitative approaches are almost evenly distributed. Mixed methods were quite frequent in information literacy and information behavior studies and less popular in the other topics.
Topics | Mixed methods | Qualitative | Quantitative |
---|---|---|---|
Information behavior | 14.0% | 40.4% | 45.6% |
Information literacy | 17.6% | 26.5% | 55.9% |
Information retrieval | 0.0% | 0.0% | 100.0% |
Library services | 3.6% | 39.3% | 57.1% |
Organization and management | 4.8% | 23.8% | 71.4% |
Topics across research approach.
The most frequently used research strategy was survey, accounting for almost 37% of all research articles, followed by system and software analysis and design, a strategy used in this study specifically for research in information systems (Jarvelin & Vakkari, 1990). This result is influenced by the fact that Information Processing & Management addresses issues at the intersection between LIS and computer science, and the majority of its articles present the development of new tools, algorithms, methods and systems, and their experimental evaluation. The third‐ and fourth‐ranking strategies were content analysis and bibliometrics. Case study, experiment, and secondary data analysis were represented by 15 articles each, while the rest of the techniques were underrepresented with considerably fewer articles (Table 6).
Research methodology | % |
---|---|
Survey | 37.0 |
System and software analysis/design | 26.8 |
Content analysis | 9.6 |
Bibliometrics | 6.4 |
Case study | 4.4 |
Experiment | 4.4 |
Secondary data analysis | 4.4 |
Grounded theory | 2.6 |
Phenomenological | 2.0 |
Ethnography | 1.5 |
Action research | 0.6 |
Mathematical method | 0.3 |
Total | 100.0 |
Research methodologies.
Table 7 displays the frequencies for each type of data analysis.
Method | % |
---|---|
Descriptive statistics | 28.4 |
Inferential statistics | 18.5 |
Qualitative data analysis | 27.1 |
Experimental evaluation | 24.7 |
Other methods | 1.3 |
Total | 100 |
Method of data analysis.
Almost half of the empirical research papers examined reported any use of statistics. Descriptive statistics, such as frequencies, means, or standard deviations, were more frequently used compared to inferential statistics, such as ANOVA, regression, or factor analysis. Nearly one‐third of the articles employed some type of qualitative data analysis either as the only method or—in mixed methods studies—in combination with quantitative techniques.
The patterns of LIS research activity as reflected in the articles published between 2011 and 2016 in five well‐established, peer‐reviewed journals were described and analyzed. LIS literature addresses many and diverse topics. Information retrieval, information behavior, and library services continue to attract the interest of researchers as they are core areas in library science. Information retrieval has been rated as one of the most famous areas of interest in research articles published between 1965 and 1985 [40]. According to Dimitroff [49], information retrieval was the second most popular topic in the articles published in the Bulletin of the Medical Library Association, while Cano [50] argued that LIS research produced in Spain from 1977 to 1994 was mostly centered on information retrieval and library and information services. In addition, Koufogiannakis et al. [42] found that information access and retrieval were the domain with the most research, and in Hildreth and Aytac’s [43] study, most articles were dealing with issues related to users (needs, behavior, information seeking, etc.), services, and collections. The present study provides evidence that the amount of research in information literacy is increasing, presumably due to the growing importance of information literacy instruction in libraries. In recent years, there is an ongoing educational role for librarians, who are more and more actively engaging in the teaching and learning processes, a trend that is reflected in the research output.
With regard to research methodologies, the present study seems to confirm the well‐documented predominance of survey in LIS research. According to Dimitroff [49], the percentage related to use of survey research methods reported in various studies varied between 20.3 and 41.5%. Powell [51], in a review of the research methods appearing in LIS literature, pointed out that survey had consistently been the most common type of study in both dissertations and journal articles. Survey reported the most widely used research design by Jarvelin and Vakkari [40], Crawford [52], Hildreth and Aytac [43], and Hider and Pymm [32]. The majority of articles examined by Koufogiannakis et al. [42] were descriptive studies using questionnaires/surveys. In addition, survey methods represented the largest proportion of methods used in information behavior articles analyzed by Julien et al. [53]. There is no doubt that survey has been used more than any other method in LIS research. As Jarvelin and Vakkari [15] put it, “it appears that the field is so survey‐oriented that almost all problems are seen through a survey viewpoint” (p. 416). Much of survey’s popularity can be ascribed to its being a well‐known, understood, easily conducted, and inexpensive method, which is easy to analyze results [41, 42]. However, our findings suggest that while the survey ranks high, a variety of other methods have been also used in the research articles. Content analysis emerged as the third‐most frequent strategy, a finding similar to those of previous studies [17, 32]. Although content analysis was not regarded by LIS researchers as a favored research method until recently, its popularity seems to be growing [17].
Quantitative approaches, which dominate, tend to rely on frequency counts, percentages, and descriptive statistics used to describe the basic features of the data in a study. Fewer studies used advanced statistical analysis techniques, such as t‐tests, correlation, and regressions, while there were some examples of more sophisticated methods, such as factor analysis, ANOVA, MANOVA, and structural equation modeling. Researchers engaging in quantitative research designs should take into consideration the use of inferential statistics, which enables the generalization from the sample being studied to the population of interest and, if used appropriately, are very useful for hypothesis testing. In addition, multivariate statistics are suitable for examining the relationships among variables, revealing patterns and understanding complex phenomena.
The findings also suggest that qualitative approaches are gaining increasing importance and have a role to play in LIS studies. These results are comparable to the findings of Hider and Pymm [32], who observed significant increases for qualitative research strategies in contemporary LIS literature. Qualitative analysis description varied widely, reflecting the diverse perspectives, analysis methods, and levels of depth of analysis. Commonly used terms in the articles included coding, content analysis, thematic analysis, thematic analytical approach, theme, or pattern identification. One could argue that the efforts made to encourage and promote qualitative methods in LIS research [54, 55] have made some impact. However, qualitative research methods do not seem to be adequately utilized by library researchers and practitioners, despite their potential to offer far more illuminating ways to study library‐related issues [56]. LIS research has much to gain from the interpretive paradigm underpinning qualitative methods. This paradigm assumes that social reality is
As stated in the introduction of this chapter, library and information science focuses on the interaction between individuals and information. In every area of LIS research, the connection of factors that lead to and influence this interaction is increasingly complex. Qualitative research searches for “
The use of mixed methods designs was found to be rather rare. While Hildreth and Aytac [43] found higher percentages of studies using combined methods in data analysis, our results are analogous to those shown by Fidel [60]. In fact, as in her study, only few of the articles analyzed referred to mixed methods research by name, a finding indicating that “
In conclusion, there is evidence that LIS researchers employ a large number and wide variety of research methodologies. Each research approach, strategy, and method has its advantages and limitations. If the aim of the study is to confirm hypotheses about phenomena or measure and analyze the causal relationships between variables, then quantitative methods might be used. If the research seeks to explore, understand, and explain phenomena then qualitative methods might be used. Researchers can consider the full range of possibilities and make their selection based on the philosophical assumptions they bring to the study, the research problem being addressed, their personal experiences, and the intended audience for the study [46].
Taking into consideration the increasing use of qualitative methods in LIS studies, an in‐depth analysis of papers using qualitative methods would be interesting. A future study in which the different research strategies and types of analysis used in qualitative methods will be presented and analyzed could help LIS practitioners understand the benefits of qualitative analysis.
Mixed methods used in LIS research papers could be analyzed in future studies in order to identify in which stages of a study, data collection, data analysis, and data interpretation, the mixing was applied and to reveal the types of mixing.
As far as it concerns the quantitative research methods, which predominate in LIS research, it would be interesting to identify systematic relations between more than two variables such as authors’ affiliation, topic, research strategies, etc. and to create homogeneous groups using multivariate data analysis techniques.
“The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it [1]”.
Our time is marked by cheap sensors and fast and powerful processors. These elements have the power to cause profound changes in our society and unleash great opportunities, which lead us to the Ubiquitous Computing field. Mark Weiser defined Ubiquitous Computing as computation (not necessarily computers) everywhere and everything. Although, at the moment, Weiser considers that computers were still “in a world of its own [1]”, he already envisioned a new threshold, when the technological advances of computing would overcome the computer to install itself in the most common objects of the daily life [1, 2]. In this sense, it is noteworthy to mention the Internet of Things (IoT) technology as an important element of the Ubiquitous Computing reality.
During the last decades, we could observe the phenomenon of computation needing less hardware, becoming more portable and migrating to our offices, pockets, clothing, and finally, to our body [3]. This spreading process brings in-depth transformations to all human activities and healthcare, and all its dimensions are being strongly impacted. Throughout the world, the healthcare systems, including governments and private companies, are facing challenges to keep the financial balance. Regarding this issue, there are two causes I would like to highlight: Population aging and the lack of adherence to health treatments [4].
We can easily observe a fast change in the demographic profile of the world population. The drop of mortality added to the increase in birth rates in the 40’s and 50’s resulted in a rise of people aged 60 and older [5]. The phenomenon of the population aging can be observed in all the countries, even in regions with low- and middle-income [5]. These rapid and profound changes in the age pyramid also means transformations in various aspects of society, including family dynamics, social security and healthcare demands. Therefore, it is possible to affirm that society is experiencing “a longevity revolution” [5].
The longevity revolution is a gift to our generation and future ones. But, for enjoying all the benefits of this gift, is essential that society is prepared to offer to individuals a healthy and active aging process, allowing people to keep independence and quality of life as long as possible. Thereby, in order to elaborate appropriate plans to achieve such an important and challenging goal, it is crucial to understand the size and speed of the aging process in society. Figure 1 highlights that the percentage of persons aged 65 years and older increased from 6 per cent in 1990 to 9 per cent in 2019. According to United Nations projections, this estimate is expected to reach 16 per cent by 2050. Additionally, life expectancy at birth reached 72.3 years [6].
Percentage of persons aged 65 years or over from 1990 to 2050.
Another interesting data from the United Nations report is the number of persons aged 80 years or older. In Figure 2, we can observe that this age group raised from 54 million in 1990 to 143 million in 2019. Moreover, the estimates indicate they will be 426 million by 2050 [6]. Therefore, we can expect the costs of healthcare to increase, owing to the strong correlation between population aging and healthcare expenditure, being this impact on health finances largely propelled by the prevalence of chronic conditions in elderly population [7, 8].
Number (in millions) of persons aged 80 years or over from 1990 to 2050.
To start the discussion, it is pivotal to understand the meaning of adherence to health care practices. The term suffered an evolution, abandoning the simple idea of adherence to medication or even “the extent to which the patient follows medical instructions” [9] to include a wider range of individual behaviors. According to World Health Organization (WHO), the active search for treatment, immunization, self-management of risk habits and several other actions can be included in the list of indicators of adherence to healthy habits [9].
In fact, adherence is a very complex and multifaceted term, involving a diverse range of actions, behaviors and habits of the individuals. Thus, the task of finding an appropriate and complete definition for adherence already proves to be challenging, evidencing the possible difficulties to choose the most suitable indicators to measure it.
Despite these concerns and the risk of incurring in results with a certain degree of inaccuracy, it is important to understand the adherence and how to improve the levels of commitment and engagement of the patients, since a low adherence has negative impacts on the effectiveness and cost of health treatments [10].
Most of the attempts to measure adherence rely on patients’ reports, which tend to be incomplete and subjective, especially when the patient is non-adherent [10]. However, the recent technological advances give us the unique opportunity to develop extremely precise tools to evaluate how much the behaviors of the individuals draw near the healthcare professional recommendations and, finally, to elaborate strategies based on reality.
Thus, it is possible to realize the association between the transformation of healthcare demands and the possibilities of ubiquitous computing in promoting the transformation of healthcare paradigms. The emerging technologies that compose this new ongoing reality, known as ubiquitous computing, have the potential to cause great revolutions not only for patients, but mainly for managers and for the society that finances the health system.
Regarding Ubiquitous Computing paradigm, it is worthwhile to talk about the Internet of Things. The term was first used in 1999 during a presentation performed by Kevin Ashton about the application of Radio-Frequency Identification (RFID) in the supply chain. In this context, the Internet of Things was born in the industrial sector or, at least, strongly stimulated to meet the demands of the industry. However, the technology is spreading rapidly and affecting several sectors of human activity [11].
After this start, gradually, the Internet of Things has undergone a profound transformation and expanded to refer to the concept of object networks, including everyday objects, “that are readable, recognizable, locatable, addressable, and/or controllable via the Internet [12]”. The communication technologies used to connect these objects are not relevant to our definition. Further, it is crucial to enlarge the concept beyond electronic devices and other products with high added technology, such as vehicles or home appliances. The concept embraces less obvious things, as well as food, clothing and soil [12].
Figure 3 reveals that the expectation is that the number of connected objects continues to increase. Currently, there are already more than 12 billion of IoT connected objects worldwide, and this number should exceed 25 billion by 2025, hence representing an increase of 100%. Another interesting fact is that there is an inversion, at the moment, since there are more connected objects with consumers than with industry. The consumer’s objects are expected to grow 63%, whereas the objects of the industry are expected to grow 145% over the next five years. So, we can notice a vigorous movement of the productive sector to incorporate this new technology [13].
Number (in billion) of IoT connected objects worldwide from 2020 to 2025.
Considering the IoT spending, it is expected that the amount will reach USD 1 trillion by 2022. The current values are near USD 750 billion and it is foreseen an improvement of 34% in the next two years, which proves how thriving this market is [14].
As previously mentioned, IoT is causing a revolution in society. Obviously, the healthcare sector is part of it and is reaping great benefits from the implementation of this technology. Interestingly, IoT originated the term Internet of Medical Things (IoMT), which describes connected medical devices. It is estimated that the overall IoMT market will reach USD 158 billion by 2022 [15]. In addition, people are taking the initiative to use smartphones, wearables or other devices to support the monitoring and management of healthcare. Figure 4 shows that most users are interested in information related to maintenance of good health and exercise level, for example, thus indicating how powerful IoMT can be in preventive medicine [16].
Percentage of adults worldwide who currently use a connected healthy device or tool to manage their health and selected reasons.
These data highlight the role of IoMT in the transformation of the healthcare system to an individualized and patient-centered system (eHealth), in opposition to the current one based on hospitals and mass services [17, 18]. We are observing the growing number of smart and connected medical devices “able to generate, collect, analyze or transmit health data or images and connect to health care provider networks, transmitting data to either a cloud repository or internal servers [15]”. Accordingly, these devices represent a new territory with the possibility to create a fresh and innovative paradigm of connected system and data-drive healthcare. The upcoming changes have the potential to drop the costs and increase access to health care.
It is worthwhile mentioning that the COVID-19 crisis accelerated the adoption of IoMT due to increased pressure on the health system and high risk of contamination in hospitals. Remarkably, IoT improves efficiency in all the health systems through the integration of the network and the usage of all sorts of data in real time to better manage available resources, which is highly important at this moment of health emergency [17, 19].
Furthermore, numerous solutions able to reduce the circulation of patients in the hospitals are gaining attention, and there has been a rapid growth of technologies related to telemedicine and patient remote monitoring [17, 19]. Two main lines of application are here observed. First, the monitoring of COVID-19 patients to follow up the evolution of the disease and reduce the need for circulation of an infected individual. Also, there are examples of IoMT usage for monitoring of patients with chronic disease, because they are a risk group for COVID-19, but it is not possible to simply waive a regular medical supervision [17, 19].
A useful tool to better understand the extension and importance of Ubiquitous Computing in healthcare is the assessment of academic publications on this topic. The efforts undertaken by Universities and Research Centers to advance the technology and develop new possibilities of application demonstrate the expectations that society deposits on it, and also exhibit the potential that the field has to advance propelled by investments in research and development.
A search was conducted in the National Center for Biotechnology Information, U.S. National Library of Medicine database using the terms [(ubiquitous computing AND (health OR healthcare)]. Publications from 2010 to 2020 were retrieved. The search returned 913 results. Figure 5 depicts the distribution of these publications in the timeline. Interestingly, an important growth between 2013 and 2015 is evident. Besides, there is a constant improvement in the number of publications every year. In turn, the amount of publications demonstrates that there is space to better explore the subject.
Number of publications retrieved from the National Center for biotechnology information, U.S. National Library of Medicine database using the terms [(ubiquitous computing AND (health OR healthcare)]. Publications from 2010 to 2020 were considered.
Based on the information exposed, we can conclude that the healthcare systems are under an important pressure caused by the population aging. Even countries with low- and middle-income are experiencing the rise of life expectancy. Obviously, this indicates advances in many social aspects, but also shows that society must be prepared to offer healthcare and life quality for this growing population group. It is crucial to develop policies to help people stay healthy and living independently as long as possible.
However, to achieve this goal, the challenges related to the adherence to treatments must be faced. Despite the improvement of healthcare access, there is still a lack of adherence to healthcare treatments and healthy habits, including exercise, for example. Indeed, the low adherence impacts negatively the effectiveness and cost of health treatments.
At the same time, despite these important challenges for healthcare providers, we also have a very unique opportunity to come up with the evolution and convergence of technology. The concept of ubiquitous computing is deeply involved with the IoT technology and its applications. After all, the vision of computation everywhere and everything is becoming reality through this growing network of smart objects.
These new technologies are proven to be a new and prosperous economic sector, since the number of connected devices is rapidly rising, as soon as the respective spending. Besides that, for the first time in medical history, it is possible to understand all aspects of the elements able to interfere in the population’s health, from the functioning of the hospitals to individual behaviors in daily life. Finally, access to such information will transform the way we think and offer healthcare services.
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Rainforests occur near the Earth's equator and cover 6% of the Earth's surface across the tropical regions and are characterized by wet climate, i.e., heavy rainfall (125—660 cm), relative humidity (77—88%) and temperature (20—34°C). They are dominated by a wide range of broad-leaved trees that form dense canopy and the most complex ecosystem. Currently, the tropical rainforest ecosystem is changing faster than ever in human history due to anthropogenic activities, such as habitat loss and degradation due to deforestation for timber and conversion into agriculture fields (oil palm plantation), mining, fire, climate change, etc. The habitat loss and degradation had adversely influenced the distribution and richness of the fauna species. The current information on the fauna diversity of tropical rainforest is not sufficient and in the future, more research is required to document the various community parameters of the fauna species in order to conserve and protect them. For better future, conservation, and management, we must identify the major drivers of changes and how these factors alter the tropical rainforest.",book:{id:"5301",slug:"tropical-forests-the-challenges-of-maintaining-ecosystem-services-while-managing-the-landscape",title:"Tropical Forests",fullTitle:"Tropical Forests - The Challenges of Maintaining Ecosystem Services while Managing the Landscape"},signatures:"Mohamed Zakaria, Muhammad Nawaz Rajpar, Ibrahim Ozdemir\nand Zamri Rosli",authors:[{id:"183095",title:"Dr.",name:"Muhammad Nawaz",middleName:null,surname:"Rajpar",slug:"muhammad-nawaz-rajpar",fullName:"Muhammad Nawaz Rajpar"},{id:"186144",title:"Prof.",name:"Mohamed",middleName:null,surname:"Zakaria",slug:"mohamed-zakaria",fullName:"Mohamed Zakaria"},{id:"186573",title:"Prof.",name:"Ibrahim",middleName:null,surname:"Ozdemir",slug:"ibrahim-ozdemir",fullName:"Ibrahim Ozdemir"},{id:"186575",title:"Dr.",name:"Zamri",middleName:null,surname:"Rosli",slug:"zamri-rosli",fullName:"Zamri Rosli"}]},{id:"51852",doi:"10.5772/64533",title:"Analysis of Precipitation and Evapotranspiration in Atlantic Rainforest Remnants in Southeastern Brazil from Remote Sensing Data",slug:"analysis-of-precipitation-and-evapotranspiration-in-atlantic-rainforest-remnants-in-southeastern-bra",totalDownloads:1569,totalCrossrefCites:3,totalDimensionsCites:4,abstract:"The Atlantic Rainforest has been intensely devastated since the beginning of the colonization of Brazil, mainly due to wood extraction and urban and rural settlement. Although the Atlantic Rainforest has been reduced and fragmented, its remnants are important sources of heat and water vapor to the atmosphere. The present study aimed to characterize and to analyze the temporal dynamics of precipitation and evapotranspiration in the Atlantic Rainforest remnants in São Paulo state, southeastern Brazil, for the period from January 2000 to December 2010. To achieve this, global precipitation and evapotranspiration data from TRMM satellite and MOD16 algorithm as well as forest remnant maps produced by SOS Mata Atlântica Foundation and Brazilian National Institute for Space Research (INPE) were used. Results found in this study demonstrated that the use of remote sensing was an important tool for analyzing hydrological variables in Atlantic Rainforest remnants, which can contribute to better understand the interaction between tropical forests and the atmosphere, and for generating input data necessary for surface models coupled to atmospheric general circulation models.",book:{id:"5301",slug:"tropical-forests-the-challenges-of-maintaining-ecosystem-services-while-managing-the-landscape",title:"Tropical Forests",fullTitle:"Tropical Forests - The Challenges of Maintaining Ecosystem Services while Managing the Landscape"},signatures:"Gabriel de Oliveira, Elisabete C. Moraes, Nathaniel A. Brunsell, Yosio\nE. Shimabukuro, Guilherme A.V. Mataveli and Thiago V. dos Santos",authors:[{id:"182397",title:"Dr.",name:"Gabriel",middleName:null,surname:"de Oliveira",slug:"gabriel-de-oliveira",fullName:"Gabriel de Oliveira"},{id:"190568",title:"Dr.",name:"Nathaniel",middleName:null,surname:"Brunsell",slug:"nathaniel-brunsell",fullName:"Nathaniel Brunsell"},{id:"190569",title:"Dr.",name:"Elisabete",middleName:null,surname:"C. Moraes",slug:"elisabete-c.-moraes",fullName:"Elisabete C. Moraes"},{id:"190573",title:"Dr.",name:"Yosio",middleName:null,surname:"E. Shimabukuro",slug:"yosio-e.-shimabukuro",fullName:"Yosio E. Shimabukuro"},{id:"190574",title:"M.Sc.",name:"Guilherme",middleName:"Augusto Verola",surname:"Mataveli",slug:"guilherme-mataveli",fullName:"Guilherme Mataveli"},{id:"190575",title:"MSc.",name:"Thiago",middleName:null,surname:"V. Dos Santos",slug:"thiago-v.-dos-santos",fullName:"Thiago V. Dos Santos"},{id:"193463",title:"Dr.",name:"Luiz E. O. C.",middleName:null,surname:"Aragão",slug:"luiz-e.-o.-c.-aragao",fullName:"Luiz E. O. C. Aragão"}]},{id:"64644",doi:"10.5772/intechopen.80765",title:"Indigenous Communities in the Arctic Change in Socio-Economic and Environmental Perspective",slug:"indigenous-communities-in-the-arctic-change-in-socio-economic-and-environmental-perspective",totalDownloads:1080,totalCrossrefCites:1,totalDimensionsCites:3,abstract:"In recent decades, the world has undergone significant changes in the environment, which have led not only to economic losses but also to a deterioration in the quality of human life, a change in the usual way of life. The Arctic today is in the focus of geopolitical and economic interests, the impact on the region of global warming. The ice retreats giving humanity new transport corridors, thereby attracting new participants from non-Arctic countries. Japan, China, and South Korea are interested in developing the Northern Sea Route for the delivery of goods and the development of economic ties between Europe and Asia. However, the importance of this route is also connected with transportation of hydrocarbons and other minerals extracted in the Arctic. Industrial development is a priority for the Arctic countries, and climate change makes remote areas of the subsoil more accessible. Especially this issue should be considered for Russia, where the development of the Arctic is experiencing a third wave and this process affects the interests of state, business, and population including indigenous communities, whose number is more twice than in the rest of the world (2.8 million residents in the Russian Arctic with approximately 4 million people in the Arctic totally).",book:{id:"6982",slug:"arctic-studies-a-proxy-for-climate-change",title:"Arctic Studies",fullTitle:"Arctic Studies - A Proxy for Climate Change"},signatures:"Violetta Gassiy",authors:null},{id:"54992",doi:"10.5772/intechopen.68495",title:"Comparison of Evapotranspiration Methods Under Limited Data",slug:"comparison-of-evapotranspiration-methods-under-limited-data",totalDownloads:1767,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"A limited number of parameters or a single meteorological parameter was used in this study to estimate evapotranspiration. The main objectives of this study are as follows. (1) The Penman-Monteith method was used to estimate ET. The empirical formula published by the Food and Agriculture Organization (FAO) was applied via substitution to compare situations that were missing certain meteorological parameters. (2) Radiation-based methods and temperature-based methods were compared with the Penman-Monteith method to estimate ET and discuss their applicability in the study area. With Tainan Weather Station of Taiwan as the study area, this study selected the Penman-Monteith method as well as six other radiation-based estimation formulas: Makkink, Turc, Jensen-Haise, Priestley-Taylor, Doorenbos-Pruit, and Abtew methods. The other four temperature-based estimation formulas, namely, Thornthwaite, Blaney-Criddle, Hamon, and Linacre methods, were used to estimate ET and compare the differences and the results were compared with the Penman-Monteith method. The results showed that there was little effect on estimating ET using the Penman-Monteith method when the wind speed data was missing or insufficient. The Turc method was the best among the six radiation-based estimation formulas, while the Linacre method was the best temperature-based estimation formula. Generally speaking, radiation-based estimation formulas were more accurate than temperature-based estimation formulas.",book:{id:"5860",slug:"current-perspective-to-predict-actual-evapotranspiration",title:"Current Perspective to Predict Actual Evapotranspiration",fullTitle:"Current Perspective to Predict Actual Evapotranspiration"},signatures:"Hsin-Fu Yeh",authors:[{id:"180104",title:"Dr.",name:"Hsin-Fu",middleName:null,surname:"Yeh",slug:"hsin-fu-yeh",fullName:"Hsin-Fu Yeh"}]},{id:"69119",doi:"10.5772/intechopen.85021",title:"The Effect of Space Weather on Human Body at the Spitsbergen Archipelago",slug:"the-effect-of-space-weather-on-human-body-at-the-spitsbergen-archipelago",totalDownloads:766,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"The study of the effects of the space weather on the human body was carried out at the Spitsbergen archipelago. A geophysical feature of the arch. Spitsbergen is its location in the cusp region—a kind of funnel on the dayside of the magnetosphere, where phenomena of space weather most express. Diverse radiation (from ULF to VHF) and waves in the field of polar cusp, covering the entire range of the body rhythms, give credit for studying the effects of space weather in the field of polar cusp. Assessment of the relationship between the dynamics of the monthly morbidity in Russian settlements and indicators of space weather revealed that, practically, all forms of morbidity are associated with solar activity and with the local geomagnetic activity in the polar cusp. A difference in correlations between the monthly incidence of residents in the Barentsburg and geocosmic agents during the polar day and the polar night was found. The links between the incidences of the population and the peculiarities of space weather will make it possible to develop prognoses of the morbidity for preventive measures aimed at increasing human health in high latitudes.",book:{id:"6982",slug:"arctic-studies-a-proxy-for-climate-change",title:"Arctic Studies",fullTitle:"Arctic Studies - A Proxy for Climate Change"},signatures:"Natalia K. Belisheva",authors:null}],mostDownloadedChaptersLast30Days:[{id:"54992",title:"Comparison of Evapotranspiration Methods Under Limited Data",slug:"comparison-of-evapotranspiration-methods-under-limited-data",totalDownloads:1767,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"A limited number of parameters or a single meteorological parameter was used in this study to estimate evapotranspiration. The main objectives of this study are as follows. (1) The Penman-Monteith method was used to estimate ET. The empirical formula published by the Food and Agriculture Organization (FAO) was applied via substitution to compare situations that were missing certain meteorological parameters. (2) Radiation-based methods and temperature-based methods were compared with the Penman-Monteith method to estimate ET and discuss their applicability in the study area. With Tainan Weather Station of Taiwan as the study area, this study selected the Penman-Monteith method as well as six other radiation-based estimation formulas: Makkink, Turc, Jensen-Haise, Priestley-Taylor, Doorenbos-Pruit, and Abtew methods. The other four temperature-based estimation formulas, namely, Thornthwaite, Blaney-Criddle, Hamon, and Linacre methods, were used to estimate ET and compare the differences and the results were compared with the Penman-Monteith method. The results showed that there was little effect on estimating ET using the Penman-Monteith method when the wind speed data was missing or insufficient. The Turc method was the best among the six radiation-based estimation formulas, while the Linacre method was the best temperature-based estimation formula. Generally speaking, radiation-based estimation formulas were more accurate than temperature-based estimation formulas.",book:{id:"5860",slug:"current-perspective-to-predict-actual-evapotranspiration",title:"Current Perspective to Predict Actual Evapotranspiration",fullTitle:"Current Perspective to Predict Actual Evapotranspiration"},signatures:"Hsin-Fu Yeh",authors:[{id:"180104",title:"Dr.",name:"Hsin-Fu",middleName:null,surname:"Yeh",slug:"hsin-fu-yeh",fullName:"Hsin-Fu Yeh"}]},{id:"64644",title:"Indigenous Communities in the Arctic Change in Socio-Economic and Environmental Perspective",slug:"indigenous-communities-in-the-arctic-change-in-socio-economic-and-environmental-perspective",totalDownloads:1080,totalCrossrefCites:1,totalDimensionsCites:3,abstract:"In recent decades, the world has undergone significant changes in the environment, which have led not only to economic losses but also to a deterioration in the quality of human life, a change in the usual way of life. The Arctic today is in the focus of geopolitical and economic interests, the impact on the region of global warming. The ice retreats giving humanity new transport corridors, thereby attracting new participants from non-Arctic countries. Japan, China, and South Korea are interested in developing the Northern Sea Route for the delivery of goods and the development of economic ties between Europe and Asia. However, the importance of this route is also connected with transportation of hydrocarbons and other minerals extracted in the Arctic. Industrial development is a priority for the Arctic countries, and climate change makes remote areas of the subsoil more accessible. Especially this issue should be considered for Russia, where the development of the Arctic is experiencing a third wave and this process affects the interests of state, business, and population including indigenous communities, whose number is more twice than in the rest of the world (2.8 million residents in the Russian Arctic with approximately 4 million people in the Arctic totally).",book:{id:"6982",slug:"arctic-studies-a-proxy-for-climate-change",title:"Arctic Studies",fullTitle:"Arctic Studies - A Proxy for Climate Change"},signatures:"Violetta Gassiy",authors:null},{id:"63616",title:"Introductory Chapter: Arctic Studies - A Proxy for Climate Change",slug:"introductory-chapter-arctic-studies-a-proxy-for-climate-change",totalDownloads:711,totalCrossrefCites:0,totalDimensionsCites:0,abstract:null,book:{id:"6982",slug:"arctic-studies-a-proxy-for-climate-change",title:"Arctic Studies",fullTitle:"Arctic Studies - A Proxy for Climate Change"},signatures:"Masaki Kanao",authors:[{id:"51959",title:"Dr.",name:"Masaki",middleName:null,surname:"Kanao",slug:"masaki-kanao",fullName:"Masaki Kanao"}]},{id:"52735",title:"Fauna Diversity in Tropical Rainforest: Threats from Land-Use Change",slug:"fauna-diversity-in-tropical-rainforest-threats-from-land-use-change",totalDownloads:2437,totalCrossrefCites:2,totalDimensionsCites:8,abstract:"Tropical rainforests are the cradle of life (perfect conditions for life) on Earth, i.e., rich in plant species composition (>250 plant species/hectare) and fauna diversity (>50% of animal species in the world). Rainforests occur near the Earth's equator and cover 6% of the Earth's surface across the tropical regions and are characterized by wet climate, i.e., heavy rainfall (125—660 cm), relative humidity (77—88%) and temperature (20—34°C). They are dominated by a wide range of broad-leaved trees that form dense canopy and the most complex ecosystem. Currently, the tropical rainforest ecosystem is changing faster than ever in human history due to anthropogenic activities, such as habitat loss and degradation due to deforestation for timber and conversion into agriculture fields (oil palm plantation), mining, fire, climate change, etc. The habitat loss and degradation had adversely influenced the distribution and richness of the fauna species. The current information on the fauna diversity of tropical rainforest is not sufficient and in the future, more research is required to document the various community parameters of the fauna species in order to conserve and protect them. For better future, conservation, and management, we must identify the major drivers of changes and how these factors alter the tropical rainforest.",book:{id:"5301",slug:"tropical-forests-the-challenges-of-maintaining-ecosystem-services-while-managing-the-landscape",title:"Tropical Forests",fullTitle:"Tropical Forests - The Challenges of Maintaining Ecosystem Services while Managing the Landscape"},signatures:"Mohamed Zakaria, Muhammad Nawaz Rajpar, Ibrahim Ozdemir\nand Zamri Rosli",authors:[{id:"183095",title:"Dr.",name:"Muhammad Nawaz",middleName:null,surname:"Rajpar",slug:"muhammad-nawaz-rajpar",fullName:"Muhammad Nawaz Rajpar"},{id:"186144",title:"Prof.",name:"Mohamed",middleName:null,surname:"Zakaria",slug:"mohamed-zakaria",fullName:"Mohamed Zakaria"},{id:"186573",title:"Prof.",name:"Ibrahim",middleName:null,surname:"Ozdemir",slug:"ibrahim-ozdemir",fullName:"Ibrahim Ozdemir"},{id:"186575",title:"Dr.",name:"Zamri",middleName:null,surname:"Rosli",slug:"zamri-rosli",fullName:"Zamri Rosli"}]},{id:"54972",title:"Sensitivity of Evapotranspiration Models to Onsite and Offsite Meteorological Data for a Ponderosa Pine Forest",slug:"sensitivity-of-evapotranspiration-models-to-onsite-and-offsite-meteorological-data-for-a-ponderosa-p",totalDownloads:1061,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"Evapotranspiration (ET) is a major component of the water budget in most forests, in many cases exceeding 70% of annual precipitation. Due to limitations in time and resources, input data necessary to model ET are not always available for a study site, but offsite data from meteorological networks may be a suitable substitute. In this study, we evaluated three models for estimating ET, Priestly-Taylor (P-T), Shuttleworth-Wallace (S-W), and Penman-Monteith with dynamic stomatal resistance (P-M-d), in a ponderosa pine (Pinus ponderosa) forest in northern Arizona where eddy covariance data exist for comparison. We tested the sensitivity of the models to the use of offsite meteorological data from a weather station and offsite soil moisture data from two snow monitoring sites in the SNOTEL network. Onsite data are required for accurate ET estimation with the P-M-d model because of its complexity. Acceptable accuracy in ET estimation required onsite net radiation data for the P-T model and onsite vapor pressure deficit data for the S-W model; other input data can be obtained from nearby offsite weather stations. Errors in ET estimation produced by the use of offsite soil moisture data varied between two nearby SNOTEL sites. Recommendations about the use of offsite data are presented.",book:{id:"5860",slug:"current-perspective-to-predict-actual-evapotranspiration",title:"Current Perspective to Predict Actual Evapotranspiration",fullTitle:"Current Perspective to Predict Actual Evapotranspiration"},signatures:"Wonsook Ha, Abraham E. Springer, Frances C. O'Donnell and\nThomas E. Kolb",authors:[{id:"198958",title:"Dr.",name:"Wonsook",middleName:null,surname:"Ha",slug:"wonsook-ha",fullName:"Wonsook Ha"},{id:"205040",title:"Prof.",name:"Abraham",middleName:null,surname:"Springer",slug:"abraham-springer",fullName:"Abraham Springer"},{id:"205044",title:"Dr.",name:"Frances",middleName:null,surname:"O'Donnell",slug:"frances-o'donnell",fullName:"Frances O'Donnell"},{id:"205045",title:"Prof.",name:"Thomas",middleName:null,surname:"Kolb",slug:"thomas-kolb",fullName:"Thomas Kolb"}]}],onlineFirstChaptersFilter:{topicId:"833",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:287,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. 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His research interests and specialties include financial econometrics, financial economics, international economics and finance, housing markets, financial markets, among others.",institutionString:null,institution:{name:"University of Southampton",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:3,paginationItems:[{id:"86",title:"Business and Management",coverUrl:"https://cdn.intechopen.com/series_topics/covers/86.jpg",isOpenForSubmission:!0,editor:{id:"128342",title:"Prof.",name:"Vito",middleName:null,surname:"Bobek",slug:"vito-bobek",fullName:"Vito Bobek",profilePictureURL:"https://mts.intechopen.com/storage/users/128342/images/system/128342.jpg",biography:"Dr. Vito Bobek works as an international management professor at the University of Applied Sciences FH Joanneum, Graz, Austria. He has published more than 400 works in his academic career and visited twenty-two universities worldwide as a visiting professor. Dr. Bobek is a member of the editorial boards of six international journals and a member of the Strategic Council of the Minister of Foreign Affairs of the Republic of Slovenia. He has a long history in academia, consulting, and entrepreneurship. His own consulting firm, Palemid, has managed twenty significant projects, such as Cooperation Program Interreg V-A (Slovenia-Austria) and Capacity Building for the Serbian Chamber of Enforcement Agents. He has also participated in many international projects in Italy, Germany, Great Britain, the United States, Spain, Turkey, France, Romania, Croatia, Montenegro, Malaysia, and China. Dr. Bobek is also a co-founder of the Academy of Regional Management in Slovenia.",institutionString:"Universities of Applied Sciences FH Joanneum, Austria",institution:null},editorTwo:{id:"293992",title:"Dr.",name:"Tatjana",middleName:null,surname:"Horvat",slug:"tatjana-horvat",fullName:"Tatjana Horvat",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hXb0hQAC/Profile_Picture_1642419002203",biography:"Tatjana Horvat works as a professor for accountant and auditing at the University of Primorska, Slovenia. She is a Certified State Internal Auditor (licensed by Ministry of Finance RS) and Certified Internal Auditor for Business Sector and Certified accountant (licensed by Slovenian Institute of Auditors). At the Ministry of Justice of Slovenia, she is a member of examination boards for court expert candidates and judicial appraisers in the following areas: economy/finance, valuation of companies, banking, and forensic investigation of economic operations/accounting. At the leading business newspaper Finance in Slovenia (Swedish ownership), she is the editor and head of the area for business, finance, tax-related articles, and educational programs.",institutionString:null,institution:{name:"University of Primorska",institutionURL:null,country:{name:"Slovenia"}}},editorThree:null},{id:"87",title:"Economics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/87.jpg",isOpenForSubmission:!0,editor:{id:"327730",title:"Prof.",name:"Jaime",middleName:null,surname:"Ortiz",slug:"jaime-ortiz",fullName:"Jaime Ortiz",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002zaOKZQA2/Profile_Picture_1642145584421",biography:"Dr. Jaime Ortiz holds degrees from Chile, the Netherlands, and the United States. He has held tenured faculty, distinguished professorship, and executive leadership appointments in several universities around the world. Dr. Ortiz has previously worked for international organizations and non-government entities in economic and business matters, and he has university-wide globalization engagement in more than thirty-six countries. He has advised, among others, the United Nations Development Program, Inter-American Development Bank, Organization of American States, Pre-investment Organization of Latin America and the Caribbean, Technical Cooperation of the Suisse Government, and the World Bank. Dr. Ortiz is the author, co-author, or editor of books, book chapters, textbooks, research monographs and technical reports, and refereed journal articles. He is listed in Who’s Who in the World, Who’s Who in America, Who’s Who in Finance and Business, Who’s Who in Business Higher Education, Who’s Who in American Education, and Who’s Who Directory of Economists. Dr. Ortiz has been a Fulbright Scholar and an MSI Leadership Fellow with the W.K. Kellogg Foundation. 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He has published research in Research Policy, Applied Economics, Review of Economic Philosophy, Strategic Change, International Journal of Logistics, Sustainability, Journal of Environmental Management, Journal of Global Information Management, Journal of Cleaner Production, M@N@GEMENT, and more. He is a member of CEDIMES Institut (France), Academy of International Business (AIB), Strategic Management Society (SMS), Academy of Management (AOM), Administrative Science Association of Canada (ASAC), and Canadian council of small business and entrepreneurship (CCSBE). He is currently the director of the Research Group on Contemporary Asia (GERAC) at Laval University. He is also co-managing editor of Transnational Corporations Review and a guest editor for Electronic Commerce Research and Journal of Internet Technology.",institutionString:null,institution:{name:"Université Laval",institutionURL:null,country:{name:"Canada"}}}]}]},openForSubmissionBooks:{paginationCount:7,paginationItems:[{id:"11667",title:"Marine Pollution - Recent Developments",coverURL:"https://cdn.intechopen.com/books/images_new/11667.jpg",hash:"e524cd97843b075a724e151256773631",secondStepPassed:!0,currentStepOfPublishingProcess:3,submissionDeadline:"April 20th 2022",isOpenForSubmission:!0,editors:[{id:"318562",title:"Dr.",name:"Monique",surname:"Mancuso",slug:"monique-mancuso",fullName:"Monique Mancuso"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{id:"11664",title:"Recent Advances in Sensing Technologies for Environmental Control and Monitoring",coverURL:"https://cdn.intechopen.com/books/images_new/11664.jpg",hash:"cf1ee76443e393bc7597723c3ee3e26f",secondStepPassed:!0,currentStepOfPublishingProcess:3,submissionDeadline:"May 4th 2022",isOpenForSubmission:!0,editors:[{id:"24687",title:"Dr.",name:"Toonika",surname:"Rinken",slug:"toonika-rinken",fullName:"Toonika Rinken"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{id:"11662",title:"Limnology - The Importance of Monitoring and Correlations of Lentic and Lotic Waters",coverURL:"https://cdn.intechopen.com/books/images_new/11662.jpg",hash:"f1043cf6b1daae7a7b527e1d162ca4a8",secondStepPassed:!0,currentStepOfPublishingProcess:3,submissionDeadline:"May 10th 2022",isOpenForSubmission:!0,editors:[{id:"315689",title:"Dr.",name:"Carmine",surname:"Massarelli",slug:"carmine-massarelli",fullName:"Carmine Massarelli"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{id:"10845",title:"Marine Ecosystems - Biodiversity, Ecosystem Services and Human Impacts",coverURL:"https://cdn.intechopen.com/books/images_new/10845.jpg",hash:"727e7eb3d4ba529ec5eb4f150e078523",secondStepPassed:!0,currentStepOfPublishingProcess:3,submissionDeadline:"May 12th 2022",isOpenForSubmission:!0,editors:[{id:"320124",title:"Dr.",name:"Ana M.M.",surname:"Gonçalves",slug:"ana-m.m.-goncalves",fullName:"Ana M.M. 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