Author Cocitation Analysis Using Custom Bibliographic Databases: An Exploratory Tool for Digging Up Reference Disciplines

Researchers in any academic discipline build on each other\u27s and their own previous work. Definitions, topics and concepts are shared. It is necessary to continuously follow up on interesting lines of inquiry. It is also necessary to identify, examine, and trace the intellectual linkage to each other in a given academic field as a basis of assessing the current state of its field to guide future development. Over the past 80 years, the way we count and analyze the intellectual linkage dramatically changed from the early manual transcribing and statistical computation of citation data to computer-based citation data creation and its manipulation. Most citation and cocitation analyses rely on commercial citation databases such as Social Science Citation Index. This paper introduces an alternative approach to conducting author cocitation analysis (ACA) without relying on commercial citation databases, based on custom bibliographic database and cocitation matrix generation systems specifically developed to use the custom database. The alternative approach overcomes several weaknesses of commercial online data-based ACA research. This guide to an alternative approach to ACA will encourage other researchers to explore the intellectual structures of various MIS fields and guide the future development as well as revealing their reference disciplines

A Cocitation Analysis of Crisis Management Literature

This thesis addresses the need for a structured mapping of academic literature relating to crisis management. An overview of current crisis management literature is provided, highlighting the gap and concentrating on predominant themes that have been identified in previous reviews, as well as those extracted from influential works. A review of bibliometric methodology is highlighted to address the gap. Research goals are named and the phased methodology necessary to meet those goals is outlined and followed. Results are covered in detail: The resultant factor analysis and multidimensional scaling confirm previous efforts to taxonomize the literature, further reinforcing the call to mature the field of crisis management literature

Of tribes and totems: An author cocitation context analysis of Kurt Lewin’s influence in social science journals

This study used author cocitation context analysis (ACCA) to explore the intellectual structure of two Lewinian social science journal communities. ACCA is a variant of White’s (2000) ego-centered citation analysis, in which the focal author name serves as a filter. Articles citing Lewin between 1972 and 2001 in the Journal of Social Issues and Human Relations, sponsored by Lewinian specialties served as the test bed. Procedures conducted on cited author names—cluster analysis, multidimensional scaling, principal components analysis, and Pathfinder network analysis—generated coherent maps for each journal that maintained a “Lewinian” focus. The maps displayed the range of subject themes of interest to the specialties, which is consistent with Lewin’s importance to the specialties. Classifying all citations to Lewin as Totemic or Substantive assessed citation function. Results were convergent with the MDS maps in that Lewin’s work was used most frequently in a Substantive (central) way. Use of Lewin’s work did not conform to expectation in that the number of articles citing Lewin increased overall and the proportion of Totemic (peripheral) citations did not increase over the time studied. Analysis of Lewin’s works and concepts cited was also congruent with the specialties’ subject focus—JSI authors focused on social justice issues and HR authors used organization and small group research.Ph.D., Information Science -- Drexel University, 200

A new approach to institutional domain analysis: multilevel research fronts structure

The intellectual structure and main research fronts of the Faculty of Natural Sciences and Museum of the National University of La Plata, Argentina is studied, based on the cocitation analysis of subject categories, journals and authors of their scientific publications collected in the Science Citation Index, CD-ROM version, for the period 1991–2000. The objective of this study is to test the utility of those techniques to explore and to visualize the intellectual structure and research fronts of multidisciplinary institutional domains. Special emphasis is laid on the identification of multilevel structures, by means of arrangements of subject categories cocitation analysis and journal cocitation analysis.Facultad de Humanidades y Ciencias de la Educació

Theoretical studies of the historical development of the accounting discipline: a review and evidence

Many existing studies of the development of accounting thought have either been atheoretical or have adopted Kuhn's model of scientific growth. The limitations of this 35-year-old model are discussed. Four different general neo-Kuhnian models of scholarly knowledge development are reviewed and compared with reference to an analytical matrix. The models are found to be mutually consistent, with each focusing on a different aspect of development. A composite model is proposed. Based on a hand-crafted database, author co-citation analysis is used to map empirically the entire literature structure of the accounting discipline during two consecutive time periods, 1972–81 and 1982–90. The changing structure of the accounting literature is interpreted using the proposed composite model of scholarly knowledge development

Social Network Analysis Using Author Co-Citation Data

This study examines the social network of scholars in the field of Communication by using author co-citation data. A matrix containing the number of co-cited documents between pairs of authors is created for social network analysis of scholars who are on the editorial board of Journal of Communication, and the networked map of the scholars is used to visualize the knowledge structure of the field by identifying groups of authors who are more central than others. Social Science Citation Index (SSCI) is used to collect the author co-citation data, and UCInet is employed for social network analysis as well as network visualization

The Visibility Of Information Science And Library Science Research In Bibliometric Mapping Of The Lis Field

The relation between information science and library science has been debated for decades, and even attempts at utilizing methods generally acknowledged as robust for the purpose of mapping research fields have yielded results with large variations. The

Exploring the Structure of Software Development Research: A Preliminary Text Analysis

Software development projects are critical to organizations when seeking operational efficiencies, competitive advantage, or both. In this research we use text analytics and bibliometrics to identify the key topics of software development that were studied in IS research published in four top IS journals. We also discuss the distribution of various topics across years and the underlying cluster groupings

Models of Scholarly Communication and Citation Analysis

Informetric/bibliometric analyses have to a large extent been relying on an assumption that research is essentially cumulative in its nature, which is not the least visible in the rational for using citation analyses to assess quality of research. However, when reviewing both the theoretical literature on how research is organized and studies analyzing the structures of research fields through informetric mapping methods, it becomes clear that cumulative organization is just one category of several ways of organizing research and scholarly communication, Consequently, the way the role of citations is interpreted in research assessment has to be revised. Based on the review of previous research, this paper suggests a model for categorizing different modes of scholarly communication. We test this model through three different kinds of semantic labelling analyses on abstracts and research papers from the fields of biomedicine, computer science and educational research. The model proposed suggests three main categories of scholarly communication: cumulative, negotiating and distinctive; and when matching the labels identified in the semantic analysis to the three categories, we find evidence of the three different ways of communicating research that supports the model