An Analysis of Information Systems Research in Chinese Mainland

The rapid evolution of health information systems (Health IS) research has led to many significantcontributions. However, while the Health IS subset of information systems (IS) scholarship hasconsiderably grown over the past two decades, this growth hasled to questions regarding the currentintellectual structure of this area of inquiry. In an effort to more fully understand how Health ISresearchhas contributed to the IS discipline, and what this may mean for future Health IS researchin the IS domain, we conduct an in-depth evaluation of Health IS research published in mainstreamIS journals. We apply citation analysis, latent semantic analysis (LSA), and social network analysis(SNA) to ourdata setof Health IS articles in order to: (1) identify Health IS research themes andthematic shifts, (2)determine which Health IS research themes are cohesive (versus disparate), (3)identify which Health IS research themes are central (versus peripheral), (4) clarify networks ofresearchers (i.e., thought leaders) contributing to these research themes, and(5) provide insights intothe connection of Health ISresearchto its reference disciplines. Overall, we contribute a systematicdescription and explanation of the intellectual structure ofHealth ISresearchand highlight how theexisting intellectual structure of Health ISresearchprovides opportunities for future research.

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A literature analysis of the use of Absorptive Capacity construct in IS research

While ethics are recognized as an integral part of information systems (IS) research, many questions about the role of ethics in research practice remain unanswered. Our report responds to this emerging set of concerns with a broad and integrative account of five perspectives on ethics in IS research and design science research (DSR) in particular. Our report is informed by a broad literature review, a panel discussion at DESRIST 2020, and substantial personal experience from wrestling with ethical considerations in the field. The report provides a comprehensive discussion of prevailing perspectives on ethics and the implications for IS research. Together, we hope the report will inspire more ethics-conscious and responsible IS research. © 2022 by the Association for Information Systems.

The exponential growth of digital content has generated massive textual datasets, necessitating the use of advanced analytical approaches. Large Language Models (LLMs) have emerged as tools that are capable of processing and extracting insights from massive unstructured textual datasets. However, how to leverage LLMs for text analytics Information Systems (IS) research is currently unclear. To assist the IS community in understanding how to operationalize LLMs, we propose a Text Analytics for Information Systems Research (TAISR) framework. Our proposed framework provides detailed recommendations grounded in IS and LLM literature on how to conduct meaningful text analytics IS research for design science, behavioral, and econometric streams. We conducted three business intelligence case studies using our TAISR framework to demonstrate its application in several IS research contexts. We also outline the potential challenges and limitations of adopting LLMs for IS. By offering a systematic approach and evidence of its utility, our TAISR framework contributes to future IS research streams looking to incorporate powerful LLMs for text analytics.

Artificial intelligence (AI) is quickly transforming business operations and society, as AI capabilities are incorporated into applications ranging from mobile personal assistants to self-driving cars. The potentially disruptive nature of AI calls for an extensive investigation into all aspects of AI-human interactions at individual, group, organizational and market levels. However, there is paucity of academic information systems (IS) research in this area that goes beyond the development and testing of specific narrow AI capabilities. AI represents an important opportunity for organizational and behavioral IS researchers, but also presents challenges associated with the underlying complexity of AI technologies and the diversity of AI applications. Understanding how existing AI research and business practice relate to traditional areas of IS research is an important step towards creating a comprehensive behavioral and organizational AI research agenda. This dissertation seeks to achieve a dual purpose in a series of three essays. Essay 1 seeks to understand the current state of business AI research and practice in business through a quantitative literature review, relate the findings to traditional IS research areas, and identify potentially fruitful research areas for AI-focused IS research. Essays 2 and 3 seek to address specific research questions related to one of such research areas, namely, human interactions with AI enabled applications. Essay 2 focus on user experience with a chatbot, a popular AI application, and Essay 3 explores how user experiences with AI assistant apps differ from their interactions with more traditional IT artifacts.

This report is part of a series of publications on the status and development of the North-American Information Systems (IS) field and Wirtschaftsinformatik (WI), its counterpart in German speaking countries. Information systems in businesses and organizations are the main subject of research in IS and WI. Hence, both disciplines are applied fields of research. Thus, the valuation of research results and graduates by business practice are vital indicators for the disciplines’ status and success. Between 1991 and 2001 a plethora of articles were published in leading Information Systems (IS) journals and conference proceedings addressing the issue of relevance of IS research and teaching. This research report provides a comprehensive content analysis of this „relevance debate“ in the North-American Information Systems field. The perceptions, opinions, and recommendations of the contributors are presented structured according to statements of valuation, perception, explanation, and recommendation. The reconstruction of the main IS relevance debate indicates that all debate participants agree that relevance to practice plays a vital role for the IS discipline, but that the field largely lacks relevance in terms of research as well as in terms of teaching. The lack of relevance is, for example, illustrated by the general perception that research results rarely impact practice and that IT/IS professionals usually do not read academic IS journals. In order to analyse if the debate has lead to any changes in terms of practice relevance of the IS field the most recent literature and studies available on IS relevance are evaluated. Analysis results indicate that no significant changes took place. But various IS researchers still report on problems in terms of acceptance and perception of IS degree programs and research. Based on the perspectives of experienced researchers from WI and other European IS communities the concluding remarks of this report attempt to explain the apparent lack of change in the North-American IS field and provide suggestions for improving the current status of the IS field in terms of relevance.

This paper reports on a panel held during the 2006 International Conference on Information Systems (ICIS). The panel titled, “Social Activism in IS Research: Making the World a Better Place,” was organized to question whether and how Information System (IS) research is making tangible impacts to our society. More specifically, each panelist was asked to address: (1) How can IS research, and researchers, make contributions to underdeveloped societies and underserved communities?; and (2) How can IS researchers learn from the particularities of these communities to inform better research, teaching, and service? While each panel member had different perspectives to offer in relation to these two questions, all agreed that IS academe needs to raise its awareness and efforts considerably with a view to address the needs of underserved communities.

Information Systems (IS) research strives for the design of innovative as well as the investigation of existing methods and techniques for information management in organizations. IS methods and techniques can support the automation of operational tasks as well as management tasks in organizations. Furthermore, they offer considerable potential for the automation of research processes in IS research. This paper examines the potential and boundaries of automated analyses of fads and trends in the field of IS research based on a design-oriented research approach. A concept for automated trend analysis is developed and implemented in an innovative software tool. The proof of concept software is exemplarily applied for the investigation of fads and trends in Business Process Management (BPM) research as an important field in IS research. Moreover, the potential and boundaries of the presented approach are discussed.

This essay discusses the use of big data analytics (BDA) as a strategy of enquiry for advancing information systems (IS) research. In broad terms, we understand BDA as the statistical modelling of large, diverse, and dynamic data sets of user-generated content and digital traces. BDA, as a new paradigm for utilising big data sources and advanced analytics, has already found its way into some social science disciplines. Sociology and economics are two examples that have successfully harnessed BDA for scientific enquiry. Often, BDA draws on methodologies and tools that are unfamiliar for some IS researchers (e.g., predictive modelling, natural language processing). Following the phases of a typical research process, this article is set out to dissect BDA’s challenges and promises for IS research, and illustrates them by means of an exemplary study about predicting the helpfulness of 1.3 million online customer reviews. In order to assist IS researchers in planning, executing, and interpreting their own studies, and evaluating the studies of others, we propose an initial set of guidelines for conducting rigorous BDA studies in IS.

In this research paper, we argue that the tendency of Information Systems (IS) researchers to work with a rather parsimonious set of research methods, notably those that follow the positivist tradition, demonstrates a significant degree of methodological exclusiveness. We contend that such an exclusive practice is both counterproductive to good IS research and unethical. Further, it severely and unreasonably limits the extent to which IS research and researchers can contribute to both pressing organisational problems and the scholarly literature. We synthesise our position in a set of four arguments that guide our discussion of the nature and consequences of methodological exclusiveness, as well as possible solutions. We end the paper with an exposition of steps that could be taken to address the current situation.

agile information systems, flexible information systems development, distributed information systems development, global software development, software development, special issue

Sutirtha Chatterjee) join the editor-in-chief (Robert Davison) to craft a position statement regarding the ISJ's view on theory. It is applicable, with sensitivity, to the empirical research articles that we consider for publication.

This paper reports a longitudinal study that explores the state of Information Systems (IS) research in Australia. A series of surveys was distributed to the heads of all IS discipline groups in Australian universities in 2004, 2005 and 2006. The study highlights the current state of IS research in Australia from the 2006 survey and analyses the trends in IS research over the last few years. The study revealed a wide range of topics researched (with rapid growth in Electronic Commerce and Knowledge Management), a range of foci, a balance between positivist and interpretivist research, survey was the most frequently used research method, and most research was directed at informing IS professionals. A SWOT analysis identified the growing importance of industry relevance and collaboration. Research performance, measured by publication output and research grant income, is shown to be improving, but is dominated by universities from the Sandstone/Redbrick and Unitech sectors, and overall does not compare favourably with other disciplines.

Culture is an important topic in strategic information systems (IS) research, particularly because information technology (IT) projects are often accompanied by cultural challenges. While culture has been widely analyzed in this discipline, there is a lack of research that systematically examines the role of culture in strategic IS research. With a structured literature review, we investigate the relation patterns between culture, strategy, and IS-related concepts in terms of dependent, moderating, and independent variables and the research approach in terms of descriptive, normative, and prescriptive. Four different patterns emerge, each one closely related to specific forms of theorizing and corresponding research designs. Research streams focusing on descriptive explanations of culture’s role are rather exhausted. IS research that builds on a normative understanding of culture exists in selected areas, while theorizing on the prescriptive management of culture has been largely neglected despite the relevance of cultural challenges in IS projects. We derive areas for future research and present two themes that emerged in our study to demonstrate how descriptive and normative approaches can provide a foundation for research on the prescriptive management of culture in strategic IS projects: the management of cultural clashes and the management of cultural identity.