Exploring the determinants of cross-boundary information sharing in the public sector: An e-Government case study in Taiwan

• Published in: Journal of information science 2014-10, Vol.40 (5), p.649-668
• Main Authors: Yang, Tung-Mou, Wu, Yi-Jung
• Format: Article
• Language: English
• Subjects: Case studies; Complexity; Determinants; Discriminant analysis; Electronic government; Exact sciences and technology; General aspects; Government agencies; Information and communication sciences; Information science. Documentation; Information sharing; Legislation; Organizations; Policies; Public sector; Sciences and techniques of general use; Studies
• ISSN: 0165-5515; 1741-6485
• DOI: 10.1177/0165551514538742

This paper explores the complexity of cross-boundary information sharing in the public sector. In particular, determinants influencing interagency information sharing are investigated and discussed, and a case study of Taiwan e-Government is employed. Four perspectives, including technology, organization, legislation and policy, and environment, are used to conduct this exploratory inquiry. Legislation and policy is found to be the most influential factor among government agencies participating in information-sharing initiatives. Organizational factors are also found to be significant, but less so than legislation and policy. Technological factors are considered relatively more easily addressed when compared with legislation and policy and organizational factors. Finally, situational factors are also found to have respective impacts on interagency information sharing. In addition to factors that are discussed in the current literature, newly identified factors are illustrated to provide insights. Moreover, in order to better conceptualize how identified factors determine agencies’ intentions towards cross-boundary information sharing, theory of planned behaviour is used to form a theoretical discussion by integrating the identified factors of the study. Practical implications are also provided to address how cross-boundary information sharing among government agencies can be better achieved. Lastly, the conclusion outlines the contributions and limitations of this research and suggests future studies related to the current work.