From the perspective of leader-member exchange theory, we investigate how two forms of leadership style (uniform leader-member exchange (ULMX) and differential leader-member exchange (DLMX)) impact member participation in online collaborative work communities (OCWC). Furthermore, based on computer simulations, we also examine the moderating impact of key contextual factors on the relationship between leadership style and member contributions. Efficacy of leadership style in OCWCs is greatly influenced by environmental conditions. DLMX is more effective in sustaining member commitment under high environmental uncertainty, regardless of network size and structure. ULMX is more effective in decentralized structures and during the early stage of community growth. The simulation-based insights suggest that supervisory behavior does matter to member retention and sustained participation in OCWCs, but its impact is significantly moderated by many contextual factors, such as community size, structure, maturity, and environmental uncertainty. In certain situations ULMX prevails, but in others DLMX is more effective. These two forms of governance in fact complement each other, rather than being mutually exclusive forms of leadership style. To attain a maximal outcome, leaders should flexibly adapt their governance styles between DLMX and ULMX over the life cycle of an OCWC to maximize member retention and performance benefits.
In this study, we focus on the factors that influence online innovation community members' continued participation in the context of open source software development (OSSD) communities. Prior research on continued participation in online communities has primarily focused on social interactions among members and benefits obtained from these interactions. However, members of these communities often play different roles, which have been examined extensively, albeit in a separate stream of research. This study attempts to bridge these two streams of research by investigating the joint influence of community response and members' roles on continued participation. We categorize OSSD community members into users and modifiers and empirically examine the differential effects of community response across these roles. By analyzing a longitudinal data set of activities in the discussion forums of more than 300 OSSD projects, we not only confirm the positive influence of community response on members' continued participation but also find that community response is more influential in driving the continuance behavior of users than that of modifiers. In addition, this research highlights the importance of modifiers, a key subgroup of OSSD participants that has been largely overlooked by prior research.
We study interindustry information technology (IT) spillover wherein IT investments made by supplier industries increase the productivity of downstream industries. Using data from U.S. manufacturing industries, we find that industries receive significant IT spillover benefits in terms of total factor productivity growth through economic transactions with their respective supplier industries. More importantly, we find that two characteristics of downstream industries, namely, IT intensity and competitiveness, which have been shown to moderate the effect of internal IT investments, play an important role in IT spillovers as well. Our results suggest that IT intensity as well as competitiveness of the downstream industry moderate the effect of IT spillovers-industries that are more IT intensive and more competitive benefit more from IT spillovers. Finally, our results suggest that the long-term effects of spillovers are greater than short-term effects, suggesting that learning periods are required to reap the benefits from the IT spillovers.
Recent years have witnessed a surge in self-organizing voluntary teams collaborating online to produce goods and services. Motivated by this phenomenon, this research investigates how these teams are formed and how individuals make decisions about which teams to join in the context of open source software development (OSSD). The focus of this paper is to explore how the collaborative network affects developers' choice of newly initiated OSS projects to participate in. More specifically, by analyzing software project data from real-world OSSD projects, we empirically test the impact of past collaborative ties with and perceived status of project members in the network on the self-assembly of OSSD teams. Overall, we find that a developer is more likely to join a project when he has strong collaborative ties with its initiator. We also find that perceived status of the noninitiator members of a project influences its probability of attracting developers. We discuss the implications of our results with respect to self-organizing teams and OSSD.
In order to understand diagrammatic reasoning with multiple diagrams, this study proposes a theoretical framework that focuses on the cognitive processes of perceptual and conceptual integration. The perceptual integration process involves establishing interdependence between relevant system elements that have been dispersed across multiple diagrams, while the conceptual integration process involves generating and refining hypotheses about a system by combining higher-level information inferred from the diagrams. This study applies a diagrammatic reasoning framework of a single diagram to assess the usability of multiple diagrams as an integral part of a system development methodology. Our experiment evaluated the effectiveness and usability of design guidelines to aid problem solving with multiple diagrams. The results of our experiment revealed that understanding a system represented by multiple diagrams involves a process of searching for related information and of developing hypotheses about the target system. The results also showed that these perceptual and conceptual integration processes were facilitated by incorporating visual cues and contextual information in the multiple diagrams as representation aids. Visual cues indicate which elements in a diagram are related to elements in other diagrams; the contextual information indicates how the individual datum in one diagram is related to the overall hypothesis about the entire system.