Design Attributes and Performance Outcomes: A Framework for Comparing Business Processes

Though business processes have been a topic of constant attention to the organization in this decade, the term “Business Process” is understood and interpreted by people differently. This difference in understanding and interpretation is presenting difficulties for organizations to learn from business processes of other organizations or functions. Based on existing literature, this study attempts to identify and demonstrate the common design attributes and performance various business processes share. The common design attributes are identified as process context, process sub parts, process interaction and process management. The common performance measures are classified into higher level measures as process efficiency, process effectiveness and process flexibility. These attributes and outcomes can be used to compare various business processes and thus enable learning from one business process to another

The Influence of Subgroup Dynamics on Knowledge Coordination in Distributed Teams: A Transactive Memory System and Group Faultline Perspective

With the rapid growth of globalization, distributed teams have become increasingly common in organizations. This research investigates the impact of inter-subgroup dynamics on knowledge coordination in distributed teams. To address this research question, we extend and apply theory from two primary sources – Transactive Memory Systems (TMS) theory and the faultline model. The paper uses data collected from 22 distributed MBA student teams to provide several novel insights into how perceived faultlines impact team processes (knowledge coordination) and outcomes (team performance and member satisfaction). First, perceived faultlines reduce knowledge coordination, which is an important antecedent of team performance and member satisfaction. Second, knowledge coordination fully mediates the negative effect of perceived faultines on team performance and member satisfaction. Third, low levels of TMS not only impair performance, but also reduce member satisfaction in distributed teams. Implications for research and practice are discussed together with potential avenues for future research

Why Do They Share Information with Supply Chain Partners? A Comparison of Supplier and Buyer Perspectives

To realize the anticipated benefits of inter-firm relationships, firms need to leverage information flows within the supply chains. While the initiatives to foster collaboration have gained momentum with the availability of advanced interorganizational information systems to support information sharing among supply chain partners, building such systems needs a better understanding of how firms share information across organizational boundaries and whether suppliers and buyers share the same view on this issue. Drawing on strategic management of interorganizational relationships, resource dependence perspective, and institutional theory, we examine strategic, power, and institutional factors that affect information sharing in supply chains. We test the proposed research model using separate supplier and buyer samples. While we have found general support to the proposed model from both samples, the results reveal that suppliers and buyers hold different opinions on how these factors affect their information sharing with supply chain partners. Implications are discussed based on the results

Burt and Coleman Networks in Electronic Intermediation

Two predominant network forms, Burt and Coleman, are delineated to identify the underlying structure and dynamics of electronic intermediation models. Basic differentiating characteristics between the two network types, including nodes, structures, products, transactions, market maturity, and technology improvement, are identified. Two comparative cases are analyzed to illustrate the utility of the constructs. The analysis shows that while both Burt and Coleman networks are viable strategies for electronic intermediation, Burt rents are easier to obtain and difficult to maintain, whereas Coleman rents are more difficult to obtain, but easier to defend. Accordingly, we find a tendency for intermediaries in Burt networks to attempt to affect Coleman rents as a long-term strategy

Investigating the Relationship between Effectiveness of App Evolution and App Continuance Intention: An Empirical Study of the U.S. App Market

App evolution has been shown to continuously lead to app success from the developer perspective. However, few studies have explored app success from the user perspective, which limits our understanding of the role of app evolution in app success. Building on app evolution literature and the technology acceptance model (TAM), the authors investigate the influence of the effectiveness of app evolution on users’ perceived app usefulness and ease of use and their app continuance intention, which is a proxy of app success from the user perspective. Survey data were collected from 299 app users on both the Google Play and AppStore platforms in the U.S. The findings indicate that the effectiveness of strategic evolution and effectiveness of evolution speed directly affect a user’s perceived app usefulness, while effectiveness of operational evolution and effectiveness of evolution speed directly affect a user’s perceived app ease of use. In addition, perceived app usefulness and perceived app ease of use are two keys that lead to users’ app continuance intention. A user’s perceived app ease of use affects app continuance intention both directly and indirectly through perceived app usefulness. This study enhances our understanding of the relationship between effectiveness of app evolution and app continuance intention. This is especially important in helping app developers that are small firms or startups with limited resources understand how to retain app users. Limitations and directions for future research are also discussed

IT-Enabled Product and Process Innovations in Transition Markets: The Moderating Role of Dysfunctional Competition

Since transition markets are playing an increasingly important role in the global economy and in the international innovation arena, there is a need to understand how IT affects firms’ process and product innovations and ultimately their competitive performance in these markets. Drawing on innovation literature and the IT capabilities portfolio perspective, we compare and contrast how IT internal integration and IT market integration affect process and product innovations, which in turn lead to competitive performance under different levels of dysfunctional competition. We test our model and hypotheses using data collected from 241 firms in China. The results reveal how dysfunctional competition shapes the efficacy of IT-enabled product and process innovations. We discuss the implications, for theory and practice, of the role IT integration capabilities have on innovation in transition economies

Investigating the Relationship between the Effectiveness of App Evolution and App Continuance Intention: An Empirical Study of the U.S. App Market

Researchers have shown app evolution to continuously lead to app success from the developer perspective. However, few studies have explored app success from the user perspective, which limits our knowledge about the role that app evolution has in app success. Building on app evolution literature and the technology acceptance model (TAM), we investigate the influence that effectiveness of app evolution has on perceived app usefulness, perceived ease of use, and app continuance intention (a proxy for app success from the user perspective). We collected survey data from 299 app users on both the Google Play and Apple’s App Store platforms in the United States. Our findings indicate that effectiveness of strategic evolution and effectiveness of evolution speed directly affect perceived app usefulness, while effectiveness of operational evolution and effectiveness of evolution speed directly affect perceived app ease of use. In addition, perceived app usefulness and perceived app ease of use constitute two key factors that lead to app continuance intention. Perceived ease of use affects users’ app continuance intention both directly and indirectly through perceived app usefulness. This study enhances our knowledge about the relationship between effectiveness of app evolution and app continuance intention. Such knowledge has particular importance in helping small firms or startups with limited resources understand how to retain app users. We also discuss limitations and directions for future research

Developing Fairness Rules for Talent Intelligence Management System

Talent management is an important business strategy, but inherently expensive due to the unique, subjective, and developing nature of each talent. Applying artificial intelligence (AI) to analyze large-scale data, talent intelligence management system (TIMS) is intended to address the talent management problems of organizations. While TIMS has greatly improved the efficiency of talent management, especially in the processes of talent selection and matching, high-potential talent discovery and talent turnover prediction, it also brings new challenges. Ethical issues, such as how to maintain fairness when designing and using TIMS, are typical examples. Through the Delphi study in a leading global AI company, this paper proposes eight fairness rules to avoid fairness risks when designing TIMS