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Seekers who visit professional virtual communities (PVCs) are usually motivated by knowledge-seeking, which is a complex cognitive process. How do seekers search for knowledge, and how is their search linked to prior knowledge or PVC situation factors? From the cognitive process and interactional psychology perspectives, this study investigated the three-way interactions between seekers’ expertise, task complexity, and perceptions of PVC features (i.e. knowledge quality and system quality) on knowledge-seeking strategies and resultant outcomes.

A field experiment was conducted with 119 seekers in a PVC using a 2 × 2 factorial design of seekers’ expertise (i.e. expert versus novice) and task complexity (i.e. low versus high).

The study reveals three significant insights: (1) For a high-complexity task, experts adopt an ask-directed searching strategy compared to novices, whereas novices adopt a browsing strategy; (2) For a high-complexity task, experts who perceive a high system quality are more likely than novices to adopt an ask-directed searching strategy; and (3) Task completion time and task quality are associated with the adoption of ask-directed searching strategies, whereas knowledge seekers’ satisfaction is more associated with the adoption of browsing strategy.

We draw on the perspectives of cognitive process and interactional psychology to explore potential two- and three-way interactions of seekers’ expertise, task complexity, and PVC features on the adoption of knowledge-seeking strategies in a PVC context. Our findings provide deep insights into seekers’ behavior in a PVC, given the popularity of the search for knowledge in PVCs.

The purpose of this study is to examine tacit knowledge sharing within information systems development (ISD) projects by exploring the combination of social interdependence theory and regulatory focus theory (RFT).

A survey was conducted on 198 ISD professionals to investigate the effect of social interdependence on tacit knowledge sharing. The survey data were analyzed using partial least squares structural equation modeling (PLS-SEM), and the results were discussed.

This study reveals that team members tend to share tacit knowledge in a way characterized by cooperative interdependence, and different patterns of social interdependence have an impact on tacit knowledge sharing. The RFT explains the disparities in attitude toward tacit knowledge sharing. Specifically, individuals with a prevention-focused orientation positively moderate the impact of competitive interdependence on tacit knowledge sharing, while those with a promotion-focused orientation have a negative moderating effect on the effect of competitive interdependence on tacit knowledge sharing. Moreover, promotion-focused individuals negatively moderate the effect of cooperative interdependence on tacit knowledge sharing.

The study identifies important aspects of social interdependence in ISD projects that affect the management of tacit knowledge. Furthermore, the study shows that the influence of cooperative and competitive interdependence on tacit knowledge sharing is moderated by the regulatory focus of an individual, providing new insights into ISD knowledge management.

Computer self‐efficacy (CSE) is generally considered to have a positive effect on information systems use. Its effect on using executive support systems (ESS), however, has not been studied. This research elucidates the effect of CSE on ESS use by undertaking a field study on a group of 16 executives in the construction industry. The results indicate that executives with a lower CSE prefer more powerful systems (i.e. ESS with both analytical and intuitive tools). Executives with a higher CSE, on the other hand, prefer systems consisting of tools that can cognitively fit the task they perform. Implications for future application and research are discussed.

A grid information retrieval model has benefits for sharing resources and processing mass information, but cannot handle conceptual heterogeneity without integration of semantic information. The purpose of this research is to propose a concept‐based retrieval mechanism to catch the user's query intentions in a grid environment. This research re‐ranks documents over distributed data sources and evaluates performance based on the user judgment and processing time.

This research uses the ontology lookup service to build the concept set in the ontology and captures the user's query intentions as a means of query expansion for searching. The Globus toolkit is used to implement the grid service. The modification of the collection retrieval inference (CORI) algorithm is used for re‐ranking documents over distributed data sources.

The experiments demonstrate that this proposed approach successfully describes the user's query intentions evaluated by user judgment. For processing time, building a grid information retrieval model is a suitable strategy for the ontology‐based retrieval model.

Most current semantic grid models focus on construction of the semantic grid, and do not consider re‐ranking search results from distributed data sources. The significance of evaluation from the user's viewpoint is also ignored. This research proposes a method that captures the user's query intentions and re‐ranks documents in a grid based on the CORI algorithm. This proposed ontology‐based retrieval mechanism calculates the global relevance score of all documents in a grid and displays those documents with higher relevance to users.

The purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.

The authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.

The authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.

This study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

Medical errors cause a significant number of deaths. Providing training to medical staff can improve the quality of medical care. Hospitals have traditionally used face‐to‐face modality to train staff but they are beginning to adopt e‐learning systems that can easily deliver training at work or to other convenient locations. The purpose of this paper is to investigate factors leading to e‐learning adoption in hospitals.

A framework of factors leading to the adoption decision of e‐learning systems is first proposed. Survey data are collected to empirically test the proposed framework. The samples consist of senior executives and managers in hospitals.

It is found that three factors including managerial, organizational, and technological exhibit significant influences on the adoption decision. One novel result is that the organizational variable of hospital specialization significantly influences the decision to adopt e‐learning systems.

This study is one of the first to propose a model of adoption of e‐learning specifically in the context of hospitals. Limitations and strengths of the study and possible future research direction are also discussed.

From a practitioner's standpoint, the results of this study can help hospital administrators to accelerate the adoption of e‐learning systems.

This study is one of the first to propose a model of adoption of e‐learning specifically in the context of hospitals. It is expected that the model developed can assist to further understand the e‐learning adoption in hospitals.

In the past several decades, Taiwanese companies have been successful in the world market. However, knowledge about how these firms use information technology is very limited. Investigates the application of decision support systems (DSS) and executive information systems (EIS) in Taiwan. Two mail surveys were conducted to explore who used the system, where the systems were applied, what decision models were used and reasons for not using these systems. The results indicate that: more than 20 per cent of the firms already used DSS or EIS and an additional 37 per cent had plans to adopt them shortly; 87 per cent of the firms considered DSS and EIS to be important to their competitiveness; middle‐ and lower‐level managers were major DSS and EIS users; half of them used the system every day; the most troublesome problem in developing DSS/EIS was the difficulty in determining information requirements; and information aggregation and what‐if analysis were major functions for decision support. Furthermore, quantitative models were employed only in large and old companies. The most popular models included linear programming, PERT/CPM, and regression analysis, whereas the most popular domains for application were finance and production management.

Prior studies examine the relationship between knowledge management (KM) enablers and KM effectiveness. However, the critical role of business process outcome is neglected. The purpose of this paper is to understand the mediating effect of business process outcomes. Based on knowledge-based view (KBV), two KM enabler variables, KM infrastructure (KMI) and KM capabilities (KMC), and one KM effectiveness variable, market relationships, are included.

A survey was conducted. The sampling frame was obtained from the database of the Bureau of National Health Insurance and Financial Supervisory Commission in Taiwan. After unusable questionnaires excluded, the usable respondents were 256 which are from 63 hospitals and 93 financial firms. Structural equation modeling was used to analyze the relationships among KMI, KMC, business process outcome, and market relationships.

The findings indicated that both KMI and KMC have positive influences on market relationships through business process outcome. The authors also demonstrate how KMI and KMC improve market relationships through business process outcome to deliver the value of KM.

Based on KBV, KMI and KMC are as KM enablers to facilitate KM activities. In the light of professional service industries (i.e. hospitals and financial firms), the study highlights the mediating effect of business process outcomes between KM enablers and KM effectiveness. It furthers the understanding of how KM enablers can improve KM effectiveness.

Instant messaging and e‐mail are popular communication methods on college campuses. However, students' perceptions of the two technologies vary greatly. This study seeks to investigate the differences between instant messaging and e‐mail.

A survey was given to 545 college students.

Instant messaging is perceived as offering many advantages over e‐mail including conveying emotions, building relationships and ease of use (EU). Users are more likely to use symbols with their instant messages to help communicate. College students find both technologies to be easy to use, but show a preference for the EU of instant messaging. However, despite its perceived functional benefits, instant messaging is only the favored form of communication for personal and social relationships.

This paper builds on existing research by discussing information richness, EU, the use of emotions, multimedia, playfulness, flow, cognitive fit theory, bounded rationality, perceived commitment, and user satisfaction in the course of the study.