Exploration into the intellectual structure of mobile information systems |
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| Institution: | 1. Department of Business Administration, Zhejiang University of Technology, Zhejiang, China;2. Department of Information Management, Ming Chuan University, Taoyuan, Taiwan, ROC;1. Department of Information Systems and Business Analytics, Hofstra University, 11501, USA;2. H. John Heinz III College of Information Systems and Public Policy, Carnegie Mellon University, 15213, USA;1. School of Software and Information Security, Guangxi University for Nationalities, Nanning, Guangxi 530006, PR China;2. Key Laboratory of Complex System Optimization and Big Data Processing in Department of Guangxi Education, Yulin Normal University, Yulin, Guangxi 537000, PR China;3. School of Mathematics, Physics and Information Science, Zhejiang Ocean University, Zhoushan, Zhejiang, 316022, PR China;4. Key Laboratory of Oceanographic Big Data Mining & Application of Zhejiang Province, Zhejiang Ocean University, Zhoushan, Zhejiang 316022, PR China;1. Petróleo Brasileiro S.A.- Petrobras University, Rua Ulysses Guimarães, 565 – Cidade Nova, Rio de Janeiro, RJ, 20.211-225, Brazil;2. Fluminense Federal University, Faculty of Engineering, Department of Industrial Engineering, Industrial Engineering Graduate Program, Rua Passo da Pátria, 156, bloco D, Sala 306, São Domingos, Niterói, RJ, 24.210-240, Brazil;1. School of Economics and Management, Xidian University, Xi’an, Shaanxi, 710071, China;2. Fox School of Business, Temple University, Philadelphia, PA 19122, USA;3. Robinson College of Business Administration, Georgia State University, Atlanta, GA 30302, USA;1. Department of Decision and Information Sciences, Oakland University, Elliott Hall, Room 325, 275 Varner Drive, Rochester, MI 48309-4485, United States;2. Department of Information Systems and Analytics, Farmer School of Business, Miami University, 800 E High St, Oxford, OH 45056, United States |
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| Abstract: | The purposes of this research are two-fold: to explore the key content of the Mobile Information Systems (MobIS) field and to identify the intellectual structure within MobIS research. Although mobile technologies have developed at great speed, little research has focused on the macroscopic viewpoint to understand the core knowledge of MobIS and its intellectual structure. To fill this research gap, articles related to MobIS from the ISI Web of Knowledge database and their cited articles were collected, and then citation analysis and document co-citation analysis were applied, including factor analysis and cluster analysis. This research identified 75 highly-cited articles and yielded 6 core categories of knowledge in mobile information systems: (1) Technology Acceptance; (2) Mobile Commerce; (3) Technology Innovation; (4) Use of Mobile Technology; (5) Measurement and Evaluation of Information Technology; and (6) Information System Success. The findings demonstrate that the MobIS field is still young and evolving. The core knowledge categories will be useful for scholars from different disciplines to effectively understand the core concepts and their relevance in MobIS in order to uncover possible research directions and entry-points in this rapidly expanding research area. Practitioners can also discover trend lines for future development, as well as identify extended themes for integration into the current MobIS field. This will benefit both the maintenance of current framework and the development of new business opportunities. |
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| Keywords: | Mobile information system Citation analysis Co-citation analysis Factor analysis Cluster analysis |
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