A social network analysis of the co-authorship network of the Australasian Conference of Information Systems from 1990 to 2006

Using bibliographic data extracted from an Endnote database, social network analysis techniques were used to generate and analyse a network of co-authors with the aim of developing an understanding of the research community that produces the research knowledge published by the Australasian Conference on Information Systems (ACIS). The ACIS community was found to be a healthy small-world community that kept evolving in order to provide an environment that supports collaboration and sharing of ideas between researchers. It was also found that, unlike a similar analysis of the European Conference (ECIS), the Australasian scene was not dominated by a couple of key researchers as quite a significant number of popular researchers were identified

Exploring the ACIS Community through the Analysis of Co-authorship across Institutions

Population-focused care is gaining importance due to an increase in the number of people with long-term conditions. A population-focused care addresses the care needs of a group of patients who share a common trait. Primary health care (PHC) being the first point of contact with a health system, our work aims to predict and analyse this population-level workload at a PHC centre. We followed a design science research (DSR) to develop a workload prediction model. As a part of this work, we identified that current patient information models lack the ability to support population-level analysis. In this paper, we discuss an extended ontology of patient information models to support population-level workload analysis. We describe the three cycles of DSR applied to develop our ontology. Then, we discuss the existing health data models. Thus, this paper makes a domain-specific application of DSR to develop a patient information model that supports population-level analysis

Thirty Years of ACIS Proceedings: An Archival Analysis

This is a research in progress paper seeking to explore trends and characteristics of Australasian information systems (IS) research. We extend a 2008 archival analysis of ACIS proceedings with data collected for conferences held between 2008 and 2019. We also retrieve metadata for proceedings published between 1990 and 2019. Conference statistics, such as submitted/accepted paper counts, acceptance rates and number of delegates are analysed. We also perform quantitative and qualitative analysis on proceeding metadata to explore trends in the size and status of ACIS and the nature of IS research in Australasia. Whilst being a research in progress paper we determine that the acceptance rate of ACIS conferences has decreased substantially over time, particularly after 2007. Further, we identify an increase in the yearly count of distinct countries associated with author institutions and the number of non-Australian/New Zealand publications. The completed research will have important contributions for Australasian IS research

The role of diverse knowledge in creating knowledge within industry networks ¬¬–A study in the Victorian biotechnology industry

Inter-organizational knowledge networks have been considered vital for the knowledge economy, particularly for small and medium size enterprises in knowledge-based industries, since creating knowledge often happens within those networks. Hence an interesting question to explore is how do knowledge networks serve to contribute to knowledge creation? Beyond the role of network structure, which has dominated the knowledge network literature, our research highlights the need for the consideration of other factors like knowledge content. First by reviewing the literature, we propose a hypothesis that predicted positive association of content and knowledge creation. Then, focusing on patent co-authorship networks of the biotechnology industry in Victoria, this research used an explanatory multiple case study approach to test the formulated hypothesis. By introducing new emergent constructs, the results provide more insight on the positive association of knowledge content and knowledge creation. Based on the emergent constructs, rival hypotheses are also developed for further research

The role of partner diversity in collaborative knowledge creation –A study in the Victorian biotechnology industry

There is increasing research on the knowledge networks as sources to acquire and access knowledge. While this literature mainly has focused on the contribution of the network structure characteristics, existing reviews show the current literature has produced seemingly contradictory results and a growing body of research highlights the need for contingency approaches. Based on a thorough literature review, this research focused on partner diversity as one of the contingencies; this has also been considered as a measure for the knowledge exploration process. Hence two hypotheses were formulated and tested by studying the patent co-authorship networks of biotechnology firms in Victoria, Australia. Using social network analysis and moderated multiple regressions, our research positively confirmed the relationship between knowledge processes and network structure. Also based on the interaction analysis, two interesting inter-relations are discussed. Finally the implications of the findings and the potential to contribute to understanding prior contradictory results are discussed

Knowledge creation through diverse knowledge networks

Inter-organizational knowledge networks have been considered vital for the knowledge economy, particularly for small and medium size enterprises in knowledge-based industries, since knowledge creation often happens within those networks. Hence an interesting question to explore is: how do knowledge networks serve to contribute to knowledge creation? Beyond the role of network structure, which has dominated the knowledge network literature, our research highlights the need for the consideration of other factors like knowledge content. First by reviewing the literature, we propose a hypothesis that predicts a positive association of content and knowledge creation. Then, focusing on patent co-authorship networks of the biotechnology industry in Victoria, this research used an explanatory multiple case study approach to test the formulated hypothesis. By introducing new emergent constructs, the results provide more insight on the positive association of knowledge content and knowledge creation. Based on the emergent constructs, rival hypotheses are also developed for further researc

The role of exploration/exploitation knowledge process in collaborative knowledge creation

There is increasing research on knowledge networks as sources to acquire and access knowledge. While this literature mainly has focused on the contribution of network structure characteristics, existing reviews show that the current literature has produced seemingly contradictory results and a growing body of research highlights the need for contingency approaches. Based on a thorough literature review, this research focused on knowledge process as one of the contingencies; this has also been considered as a measure for the knowledge exploration process. Hence two hypotheses were formulated and tested by studying the patent co-authorship networks of biotechnology firms in Victoria, Australia. Using social network analysis and moderated multiple regressions, our research positively confirmed the relationship between knowledge processes and network structure. Also based on the interaction analysis, two interesting inter-relations are discussed. Finally the implications of the findings and the potential to contribute to understanding prior contradictory results are discussed

CROSS-DISCIPLINARY COLLABORATIONS IN DATA QUALITY RESEARCH

Data Quality has been the target of research and development for over four decades, and due to its cross-disciplinary nature has been approached by business analysts, solution architects, database experts and statisticians to name a few. As data quality increases in importance and complexity, there is a need to motivate the exploitation of synergies across diverse research communities in order to form holistic solutions that span across its organizational, architectural and computational aspects. As a first step towards bridging gaps between the various research communities, we undertook a comprehensive literature study of data quality research published in the last two decades. In this study we considered a broad range of Information System (IS) and Computer Science (CS) publication outlets. The main aims of the study were to understand the current landscape of data quality research, create better awareness of (lack of) synergies between various research communities, and, subsequently, direct attention towards holistic solutions. In this paper, we present a summary of the findings from the study that outline the overlaps and distinctions between the two communities from various points of view, including publication outlets, topics and themes of research, highly cited or influential contributors and strength and nature of co-authorship networks

A Bibliometric Study of Instructional Design Journal Articles, 2001-2020

The purpose of this study was to examine instructional design (ID) articles in a broad range of scholarly journals published from 2001 through 2020 to determine the field’s state of publication. By using three bibliometric methods, content analysis, citation analysis, and network analysis, the publication patterns and content of the articles were examined. Specific purposes were to determine the most prolific and highly cited scholars, countries, and journals; to determine trends evident in the bibliometric data; and to compare the differences in coverage and accuracy of the citation indices Web of Science, Scopus, and Google Scholar within the parameters of the study. Bibliometric data for the study were collected by searching each of the three citation indices for articles with the keywords “instructional design” from 160 journals selected for the study based on prior compilations of significant publications in the field of ID. These articles were limited to publications dates 2001-2020 and English language. The searches retrieved 853 articles from the Web of Science, 973 from Scopus, and 8069 from Google Scholar. Bibliometric analyses were applied to the retrieved articles. Results of the analyses identified the most prolific authors as J. J. G. van Merriënboer, F. Paas, and P. A. Kirschner. D. M. Merrill, M. D. Dickey, and T. A. Brush were the most cited xiii authors. Authors in 61 countries published articles matching the study’s parameters. The United States was the most active country in publishing ID articles, followed by the Netherlands, Taiwan, Germany, and Australia. Topics in ID articles changed during the timeframe of the study. In 2001, frequent topics related to the mechanics of instructional design, but in 2020, technology and instructional delivery platforms had become the most frequent topics, perhaps due to the COVID pandemic and the resulting transition from classroom instruction to e-learning and remote instruction. Journals with the highest number of ID articles were Computers in Human Behavior, Instructional Science, Educational Technology & Society, and TechTrends. Educational Technology Research & Development and Computer & Education were also the most highly cited ID journals during this 20-year period. Citation analyses revealed that ID authors tend to repeatedly cite the same authors. Additionally, co-citation and bibliographic coupling are common among ID articles. Numerous instances of co-authorship are evident as well. Scopus and Web of Science were noted to be similar in coverage and accuracy. Google Scholar retrieved many more articles but included more irrelevant items, thus requiring time-consuming efforts from the researcher to identify pertinent items. Google Scholar also contained more errors in names and punctuation. It appears to be best suited for a broad search for information on a topic, while Scopus and Web of Science are more suitable for scholarly research. This study offers insight into the productivity, trends, and emphases of specific ID journals as well as of the ID field in general. The research supports scholarly communications by identifying collaboration patterns and opportunities for researchers and their institutions