Scientific collaboration is essential and almost imperative in modern science. However, collaboration may be difficult to achieve because of 2 major barriers: geographic distance and social divides. It is predicted that the advancement of information communication technologies (ICTs) will bring a puzzled conclusion for collaboration in the scientific community: the “Global Village” trend with significantly increased physical distance among collaborated scientists and the “Virtual Balkans” trend with significantly increased social stratification among collaborated scientists. The results of this study reveal that the scientific community evolves towards the Global Village generally on both the geographic and social dimension, but with variations in term of collaboration patterns. The influence of such collaboration patterns on research performance (that is, productivity and impact), however, is asymmetric to each side of collaborators. When researchers from top‐tier and general‐tier institutions collaborate, researchers from top‐tier institutions face a decrease in research productivity and impact, whereas researchers from general‐tier institutions increase in research productivity and impact. Furthermore, the development of ICTs plays an important role in shaping the evolving trends and moderating effects of collaboration patterns. Our findings provide a comprehensive understanding of scientific collaboration in the geographic, social, and technological aspect.

This research addresses the theoretically neglected question of how the internal diffusion of inter-organizational systems (IOS) into a firm's activities and its external diffusion into the supply chain partners influence performance improvement. Drawing on the resource-based view, our research model posits that organizational and relational resources affect both internal and external diffusion, which in turn, influence performance improvement. Survey results from 187 managers in Korean and Chinese firms showed that while the impact of organizational resources on a firm's performance improvement was fully mediated by IOS diffusion, the diffusion partially mediates the impact of relational resources on performance improvement. This study also revealed a significantly different pattern of diffusion between Korean and Chinese firms, i.e. showing the impact of organizational and relational resources on a firm's performance through external diffusion of IOS are significantly greater in Korean firms, while the impact of internal diffusion was significantly greater in Chinese firms. In other words, Korean firms tend to externally diffuse IOS toward their business partners, while Chinese firms tend to internally diffuse IOS by deploying IOS from their partners. The implications of these findings for both research and practice are discussed.

We develop and test a theoretical model to investigate the adoption of government-to-government (G2G) information systems in public administration organizations. Specifically, this model explains how top management commitment (TMC) mediates the impact of external institutional pressures on internal organizational resource allocation, which finally leads to the adoption decision. The hypotheses were tested using survey data from public administration organizations in China. Results from partial least squares analyses suggest that coercive and normative pressures positively affect TMC, which then positively affects financial and information technology (IT) human resources in the G2G adoption process. In turn, financial and IT human resources are confirmed to positively affect the intention to adopt G2G. Surprisingly, we do not find support for our hypothesis that mimetic pressures directly influence TMC. Rather, a post hoc analysis implies that mimetic pressures indirectly influence TMC via the influence of coercive pressures. Our findings provide important managerial implications for public administration organizations.

In organizations, the amount of attention that user‐generated knowledge receives in knowledge management systems (KMSs) may not imply its potential for benefiting organizational activities in terms of accelerating innovation and product development. To optimize the utilization of knowledge in organizations, it is crucial to identify factors that influence knowledge popularity. From a network perspective, this study proposes a model to evaluate knowledge popularity by investigating 2 attributes of contextual information (i.e., authors and tags) that are embedded in a heterogeneous knowledge network, and how they interact to impact knowledge popularity. Objective data obtained through the interaction history of a KMS in a global telecommunication company was applied to test the hypotheses. This paper contributes to the extant literature on knowledge popularity by identifying contextual attributions of knowledge, and empirically tests the impact of their interactions on knowledge popularity.

Abstract An innovative model to measure the influence among scientific journals is developed in this study. This model is based on the path analysis of a journal citation network, and its output is a journal influence matrix that describes the directed influence among all journals. Based on this model, an index of journals' overall influence, the quality‐structure index (QSI), is derived. Journal ranking based on QSI has the advantage of accounting for both intrinsic journal quality and the structural position of a journal in a citation network. The QSI also integrates the characteristics of two prevailing streams of journal‐assessment measures: those based on bibliometric statistics to approximate intrinsic journal quality, such as the Journal Impact Factor, and those using a journal's structural position based on the PageRank‐type of algorithm, such as the Eigenfactor score. Empirical results support our finding that the new index is significantly closer to scholars' subjective perception of journal influence than are the two aforementioned measures. In addition, the journal influence matrix offers a new way to measure two‐way influences between any two academic journals, hence establishing a theoretical basis for future scientometrics studies to investigate the knowledge flow within and across research disciplines.

This paper explores the diffusion of competitive Internet technology products in the context of competition between local and multinational corporations as well as how the diffusive interactions between technologies affect their dominance in electronic markets. Drawing on existing theories of innovation diffusion, and competitive dynamics, the authors adopted a new diffusion model that incorporates the influence of one technology’s adoption on the diffusion of other technology. The authors then validated the model using longitudinal field data of the two pairs of Internet technology products in Chinese electronic markets. The findings of this investigation suggest that Internet product diffusion can be better predicted by a competitive dynamic model than by an independent-diffusion-process model. Further, results indicate that the diffusive interaction between local and multinational corporations’ technologies can be a two-way asymmetric interaction. Such a pattern supports a conclusion of significant second-mover advantage for local online vendors in fast-growing emerging markets. The authors also examine the policy implications of these results, specifically with respect to how asymmetric interaction effects can help domestic online vendors gain second-mover advantage facing the entry of multinational corporations.

The study develops an integrated model to examine factors, particularly government factors, which influence IT adoption in Chinese firms. By analyzing the survey data from 1540 firms across 14 industries and across various ownerships in Shanghai, the study contributes several insights into firms’ IT usage. First of all, this study sheds light on the IT adoption in Chinese firms and validates the general route from IT infrastructure construction to value realization. Second, the findings suggest that government actions influence firms’ IT infrastructure development and IT management decision. However, there is no evidence showing the government impact on firms’ IT usage. The study also provides valuable IT adoption implications to firms in China, particularly to those in the modern cities like Shanghai.