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The purpose of this paper is to investigate the government roles in cloud computing assimilation along two dimensions: government regulation and government support.

A research model was developed to depict the dual roles of government regulation and government support in cloud computing assimilation as well as the mediating effect of top management support (TMS). Using survey data collected from 376 Chinese firms that have already adopted cloud services, the authors tested the research model.

The impacts of both government regulation and government support on cloud computing assimilation are partially mediated by TMS. Government support exerts stronger impacts on TMS than government regulation.

This study extends the current information systems literature by highlighting the specific mechanisms through which governments influence firms’ assimilation of cloud computing.

Governments in developing countries could actively allocate funds or enact policies to effectively encourage cloud computing assimilation.

This study would complement previous findings about government regulation, and develop a more holistic understanding about the dual roles of governments in information technology innovation assimilation.

The purpose of this paper is to focus on the fit between intellectual capital (IC) and knowledge management (KM) strategy and its impacts on firm performance.

Based on the fit view, the authors posit that firms can enhance performance by aligning the structure of their IC with KM strategy, as reducing the extent to which their actual IC profile deviate from the “ideal” profile when implementing certain type of KM strategy. Using survey data collected from 328 high technology firms in China, the authors tested the research model.

The more fit a firm’s IC is to its KM strategic type, the better operational and financial performance it can achieve.

The sample of high technology firms in China might limit the generalization of the findings. Nonetheless, this study is based on and extends prior research, which provides a deepened understanding of the role of IC-KM strategy fit in organizational settings.

The paper suggests that firms should adjust their IC according to KM strategy they employ. According to the findings, managers can selectively develop IC to achieve performance goals under certain type of KM strategy.

As one of the first studies to investigate the relationship among IC, KM strategy and firm performance in a holistic way, it indicates that the IC-KM strategy fit can be a novel explanation for performance variances through the alignment of knowledge-based capability and strategy.

The purpose of this paper is to understand what inhibit or facilitate cloud computing (CC) assimilation.

The authors investigate the effects of two enablers, top management support (TMS) and government support (GS), and two inhibitors, organization inertia (OI) and data security risk (DSR) on CC assimilation. The authors posit that enablers and inhibitors influence CC assimilation separately and interactively. The research model is empirically tested by using the field survey data from 376 Chinese firms.

Both TMS and GS positively and DSR negatively influence CC assimilation. OI negatively moderates the TMS–assimilation link, and DSR negatively moderates the GS–assimilation link.

The results indicate that enablers and inhibitors influence CC assimilation in both separate and joint manners, suggesting that CC assimilation is a much more complex process and demands new knowledge to be learned.

For these firms with a high level of OI, only TMS is not enough, and top managers should find other effective way to successfully implement structural and behavioral change in the process of CC assimilation. For policy makers, they should actively play their supportive roles in CC assimilation.

A new framework is developed to identify key drivers of CC assimilation along two bipolar dimensions including enabling vs inhibiting and internal vs external.

This study takes the cinema industry as the research context and investigates the impact of online to offline (O2O) platforms on cinemas' performance. Specifically, the purposes of this paper are threefold: first, to study the influence of platform multihoming on cinemas' performance; second, to examine the interaction impact of platform multihoming and vertical integration; third, to investigate how the influence of platform multihoming varies with cinemas' performance.

This study collects data from 1918 cinemas in China, employs quantile regressions to estimate the model and test the proposed hypotheses and adopts an instrumental variable method to examine the robustness of our results.

The findings confirm the positive role of platform multihoming for cinemas' performance. However, when a cinema has low-degree platform multihoming, the cinema's vertical integration is positively associated with its performance; when a cinema has high-degree platform multihoming, the cinema's vertical integration is negatively associated with its performance. Furthermore, results from quantile regressions indicate that low-performance cinemas benefit more than high-performance cinemas from employing platform multihoming strategy.

This paper extends previous research by investigating the impact of platform multihoming on heterogeneous firms and the impact of interaction between platform multihoming and vertical integration. The findings imply that the impact of platform multihoming on firms' performance depends on firms' performance attributes and their vertical relationships.

Platform multihoming can be a double-edged sword for local service firms. When multihoming platforms, a local service firm should think about the fit between platforms and its own attributes, and identify the potential conflict between platform relationships and traditional relationships of industrial organization.

There is a growing interest in understanding platforms' role in the digital economy. The impact of platform participation on local service firms' performance is not sufficiently investigated. Previous research rarely addressed the impact by incorporating local service firms' performance attributes and the existing relationships of industrial organization.

The purpose of this study is to propose a data-driven perspective to analyze enterprise information system (EIS) feature use for understanding what and how the system features are actually used in the organization.

An empirical study was conducted by analyzing information system (IS) log data collected from a well-known shipbuilding manufacturer in China. The multiple analytical approach employed in this study includes social network analysis, association rules learning and human dynamics.

This study first classified IS users into 41 core users and 325 general users. Then 24 core modules and 54 general modules were identified by social network analysis, and the correlation between them was analyzed. Finally, we found that the IS use time intervals for different user groups followed a power-law distribution, and IS use displayed strong burstiness and weak memory.

This study proposes a data-driven perspective to investigate how the system features are actually used in the organization. This study contributes to the literature and opens a new avenue for future IS use research. Furthermore, this study informs managers how to diagnose, maintain and optimize the implemented IS in order to maximize IS benefits.

The aim of this paper is to investigate the impact of knowledge sharing (KS) on firm performance and the mediating role of intellectual capital (IC).

A research model was developed based on prior KS and IC studies. A survey was administered to a sample of high technology firms in China and 228 usable responses were collected. Structural equation modeling (SEM) was employed to test the research model.

Tacit KS significantly was found to contribute to all three components of IC, namely human, structural and relational capital, while explicit KS only has a significant influence on human and structural capital. Human, structural and relational capital, enhance both operational and financial performance of firms. The effect of KS on firm performance is mediated by IC. Explicit KS has a greater effect on financial performance than operational performance, whereas tacit KS has a greater impact on operational performance than financial performance.

The sample of high technology firms in China might limit the generalization of the findings. Nonetheless, this study takes its lead from and extends prior research, thus providing a deepened understanding of the role of KS in organizational settings.

The paper suggests that managers can enhance firm performance by enhancing their KS and IC. Managers can develop corresponding strategies based on the findings to achieve their specific performance goals.

This is one of the first papers to examine how KS contributes to firm performance through the mediation of IC. It will add significant value for organizations trying to enhance their performance though KS practices.

This chapter presents an analysis illustrating the evolution of information systems’ development based on three interdependent phases. In the first period, information systems were mainly considered as a strictly technical discipline. Information technology (IT) was used to automate manual processes; each application was treated as a separate entity with the overall objective of leveraging IT to increase productivity and efficiency, primarily in an organizational context. Secondly, the introduction of networking capabilities and personal computers (instead of fictitious terminals) has laid the foundations for a new and broader use of information technologies while paving the way for a transition from technology to its actual use. During the second phase, typical applications were intended to support professional work, while many systems became highly integrated. The most significant change introduced during the third era was the World Wide Web, which transcended the boundaries of the Internet and the conventional limits of IT use. Since then, applications have become an integral part of business strategies while creating new opportunities for alliances and collaborations. Across organizational and national boundaries, this step saw a transformation of IT in the background. These new ready-to-use applications are designed to help end-users in their daily activities. The end-user experience has become an essential design factor.

Online health communities (OHCs) have been recognized as emerging platforms on the Internet used for health purposes. Despite its emergence, developing a successful OHC is still a challenge. Prior studies identified that value co-creation behavior (VCB) of members is an essential factor for sustaining OHCs; however, little is known about how members’ behavior drives to co-create value? Therefore, this study aims to discover the inclusive mechanism for members’ VCB in OHCs.

The authors develop the study model and hypothesis based on the service-dominant logic of value co-creation theory and social support (SS) literature. The survey data of 608 active OHCs users in China were analyzed using partial least squares structural equation modeling (PLS-SEM).

The results revealed that SS positively affects members’ VCBs. Ethical aspects; Trust and ethical interaction (EI) partially mediate their relationships. In addition, community members’ current health status (CHS) negatively moderates the relationships between SS and VCB. From the findings, it becomes evident that only SS is not enough; developing an ethical environment in OHCs, i.e. trust and ethically rich interactions among members, significantly helps OHCs to promote co-creation. Also, the negative moderation of CHS findings provides novel insights when cramming health conditions.

Exploring the complex mechanism of co-creation in OHC, the authors illustrate the potential of service-dominant logic to create new theoretical insight for healthcare and provide the framework of co-creation with ethics for the first time. This will extend the application of ethics in healthcare services and offer a robust platform from which the understanding of drivers of members’ VCB can be advanced in the OHC context.

This study aims to investigate the configurational effects of five rules – artificial intelligence (AI)-based hiring decision transparency, consistency, voice, explainability and human involvement – on applicants' procedural justice perception (APJP) and applicants' interactional justice perception (AIJP). In addition, this study examines whether the identified configurations could further enhance applicants' organisational commitment (OC).

Drawing on the justice model of applicants' reactions, the authors conducted a longitudinal survey of 254 newly recruited employees from 36 Chinese companies that utilise AI in their hiring. The authors employed fuzzy-set qualitative comparative analysis (fsQCA) to determine which configurations could improve APJP and AIJP, and the authors used propensity score matching (PSM) to analyse the effects of these configurations on OC.

The fsQCA generates three patterns involving five configurations that could improve APJP and AIJP. For pattern 1, when AI-based recruitment with high interpersonal rule (AI human involvement) aims for applicants' justice perception (AJP) through the combination of high informational rule (AI explainability) and high procedural rule (AI voice), there must be high levels of AI consistency and AI voice to complement AI explainability, and only this pattern of configurations can further enhance OC. In pattern 2, for the combination of high informational rule (AI explainability) and low procedural rule (absent AI voice), AI recruitment with high interpersonal rule (AI human involvement) should focus on AI transparency and AI explainability rather than the implementation of AI voice. In pattern 3, a mere combination of procedural rules could sufficiently improve AIJP.

This study, which involved real applicants, is one of the few empirical studies to explore the mechanisms behind the impact of AI hiring decisions on AJP and OC, and the findings may inform researchers and managers on how to best utilise AI to make hiring decisions.

The purpose of this study is to investigate the relationship between social media and sensing capability for supply chain management (SCM) from an environmental scanning perspective. The authors consider upstream supply and downstream customer markets as two aspects of social media-enabled environmental scanning (SMES). The moderating effects of three uncertainties are explored.

The data were collected from 178 supply chain professionals through a survey. Generalized estimating equations (GEE) were used to analyze the data.

SMES in both supply and customer markets enhance sensing capability. Interestingly, the results reveal an accelerating effect on sensing by the incremental effort of SMES-supply. However, that of SMES-customer leads to a decelerating outcome for sensing. Also, uncertainties, especially the demand- and technology-related, play a series of interacting effects according to SMES levels.

This research contributes to the literature of operations and supply chains regarding social media strategies and dynamic capabilities. It opens the black box of environmental scanning behavior on social media and adds new knowledge on the dynamic influence of such behavior toward organizational sensing capability for SCM. In addition, further understanding on supply chain uncertainty as a moderator is also strengthened through this research.

This research is the first to empirically uncover the effect of social media on sensing capability for SCM through the lens of environmental scanning. The results support the employment of social networking for improving supply and demand sensing.