Emerging Research Themes in Global Information Management

2011 ◽  
pp. 60-70
Author(s):  
R. Brent Gallupe ◽  
Felix B. Tan
Keyword(s):  
Information Systems ◽  
Information Management ◽  
Future Research ◽  
Global Information ◽  
Research Methodologies ◽  
Global Context ◽  
Systems Research ◽  
Information Systems Research ◽  
Research Themes ◽  
Depth Study

Research in the field of global information management (GIM) is an area of information systems research that has grown tremendously in the 1990s. A large number of research studies have been published that have examined issues relating to the development, use and management of information systems in a global context. In an attempt to better understand the types of research that has been conducted, the research methodologies employed and the emerging research themes being addressed in the field, an in-depth study of the GIM literature was conducted. This chapter reports on one aspect of this wider study – emerging GIM research themes. The purpose of this chapter is to identify the themes distinct to GIM research that are emerging from the literature with the aim of highlighting potential areas of future research in the field.

Information Systems Research Relevance

2011 ◽  
pp. 2004-2009 ◽  
Author(s):  
Shirish C. Srivastava ◽  
Thompson S.H. Teo
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Empirical Study ◽  
Information Management ◽  
Management Information Systems ◽  
Is Research ◽  
Systems Research ◽  
Information Systems Research ◽  
Key Issues ◽  
It Executives

Though there have been extended deliberations for making information systems (IS) research more relevant1 and useful for IS executives, to our knowledge, there has been no empirical study which examines the extent of relevance in the current IS research. In this chapter, we analyze the topical relevance of 388 published academic articles in the three top IS journals: MIS Quarterly (MISQ), Information Systems Research (ISR), and Journal of Management Information Systems (JMIS), for a 5 year period from 2000-2004. We do this by examining their fit with the key issues for information technology (IT) executives identified by the latest Society for Information Management (SIM) survey. Based on our results, we make recommendations for making IS research more meaningful for practitioners.

A Conceptual Framework for Studying Gender in Information Systems Research

2004 ◽  
Vol 19 (1) ◽  
pp. 81-92 ◽  
Author(s):  
Melanie Wilson
Keyword(s):  
Information Systems ◽  
Conceptual Framework ◽  
Social Issues ◽  
Innovation Process ◽  
Division Of Labour ◽  
Future Research ◽  
Theoretical Concepts ◽  
Systems Research ◽  
Information Systems Research ◽  
Gender And Society

This paper aims to attend the under-theorisation of gender within the Information Systems (IS) literature by adopting a critical and feminist approach to the organisational context of IS development and use. The IS are conceived of as innovations with theoretical concepts and observations for comprehending the innovation process advanced within Social Studies of Technology being described and applied to IS. Consequently, a conceptual framework for studying gender and IS is constructed by combining insights derived from: (1) gender and computing, concerning the differences and inequalities of development and use of IS; (2) gender and society concerning the existence of gendered spheres; (3) studies of gender and organisations concerning the social division of labour; and (4) gender and technology, concerning the masculinity of technology culture. The developed framework is tabulated, areas for future research suggested and potential research questions outlined. The latter employ examples from the field of nursing to illustrate their tangible application. The framework constitutes a contribution to IS research by providing access to additional explanations for organisational phenomena (such as user rejection); by deepening our understanding of the innovation process; by improving IS practice through increased awareness of social issues (especially gender); and by promoting further potential topics for IS researchers.

Theoretical Constructs and Relationships in Information Systems Research

2010 ◽  
pp. 1-17 ◽  
Author(s):  
Brent Furneaux ◽  
Michael Wade
Keyword(s):  
Information Systems ◽  
Theory Development ◽  
Future Research ◽  
Broad Perspective ◽  
Systems Research ◽  
Information Systems Research ◽  
Cumulative Learning ◽  
Future Theory ◽  
Time Information ◽  
Over Time

Constructs and the relationships between them are widely considered to be central to theory development and testing. Over time, information systems (IS) researchers have identified and explored an extensive set of relationships amongst a broad range of constructs. The result of these initiatives is a body of literature that can be considered to represent the cumulative learning of the discipline. Based on the premise that this cumulative learning is capable of providing valuable guidance to future theory development, the authors present a review and analysis of a large sample of empirical research published in two leading IS journals. The objective of this endeavor is to offer a broad perspective on the nature of the constructs and relationships explored in IS research and to develop a nomological network of the most salient relationships that can then serve to guide future research and to lend support to new and existing theory.

Cognitive Neuroscience in Information Systems Research

2016 ◽  
Vol 27 (1) ◽  
pp. 58-73 ◽  
Author(s):  
Yeli Zhao ◽  
Keng Siau
Keyword(s):  
Information Systems ◽  
Eye Tracking ◽  
Cognitive Neuroscience ◽  
Brain Area ◽  
Future Research ◽  
Brain Areas ◽  
Research Directions ◽  
Systems Research ◽  
Information Systems Research ◽  
Future Research Directions

This paper reviews cognitive neuroscience and several neurophysiological tools (e.g., fMRI, PET, EEG, MEG, and eye tracking). The strengths and weaknesses of such tools for information systems research are presented. The paper provides examples of existing cognitive neuroscience studies in varies areas, such as neuroeconomics, neuromarketing, and eye tracking. In addition, this paper provides an overview of brain areas that response to various mental processes, and discusses the localization and functionality of each brain area. Because of the popularity of eye-tracking research in information systems, measurements and metrics related and derived from eye-tracking technique (e.g., fixation, saccades and scanpath) are described and discussed in this paper. Opportunities for applying cognitive neuroscience techniques to IS research as well as future research directions are also discussed.

scholarly journals Artificial Intelligence Value Alignment Principles: The State of Art Review from Information Systems Research

2021 ◽  
Author(s):  
Shengnan Han ◽  
◽  
Shahrokh Nikou ◽  
Keyword(s):  
Artificial Intelligence ◽  
Information Systems ◽  
Information And Communication Technologies ◽  
Human Values ◽  
Future Research ◽  
Critical Question ◽  
Is Research ◽  
Systems Research ◽  
Information Systems Research ◽  
Information And Communication

t Information and communication technologies (ICTs) must be designed and used for humane ends. The rapid adoption of Artificial Intelligence (AI) has raised the critical question of whether we can ensure AI's alignment with human values to guide its design and use. We perform a selective literature review with the specific search terms of the papers published in the top information systems (basket of 8 journals and 5 AIjournals in IS) from 2000-2020 to answer this question. The findings indicate that IS research has contributed insufficiently to a deeper understanding of human values and AI value alignment principles. Moreover, the mainstream IS research on AI is mostly dominated from its technical and managerial aspects. Thus, the future research agendas are proposed accordingly. The paper provides some food for thoughts in studying human values and AI alignment within the context of IS research.

scholarly journals A Bibliometric Review of Information Systems Research From 1975-2018

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0
Keyword(s):  
Information Systems ◽  
Evolutionary Process ◽  
Knowledge Bases ◽  
Intellectual Structure ◽  
Future Research ◽  
Systems Research ◽  
Information Systems Research ◽  
Mode 2 ◽  
Bibliometric Review ◽  
Set Up

Information Systems (IS) scholars attempted to explore the intellectual structure of the IS discipline from previous literature. However, the corpus data, analytical method, and sample size are significantly different among these review studies, which lead to rather mixed results. In this bibliometric review, the authors portray and visualize the panorama of the evolutionary process of IS research with two powerful bibliometric tools, including both CiteSpace and VOSviewer. Specifically, based on a series of bibliometric algorithms (e.g., SCI-Map and referene-NLP), the authors analyze 80,147 primary articles and 1,325,376 secondary articles in the IS domain to examine its 1) intellectual output mode, 2) knowledge bases, and 3) the popular and promising topics in the future from the evolutionary and clustering perspectives. By doing so, the authors provide a comprehensive navigation for the IS studies and set up an agenda for future research.

Sign in / Sign up

Export Citation Format

Share Document