Purpose: The purpose of this paper is to investigate the consequences of two strategies of coordinating the online procurement capability and the online channel management capability on competitive performance.Design/methodology/approach: A research model is presented to examine the performance impacts of these two coordination strategies, namely the balancing strategy (achieving a close match relationship) and the complementing strategy (maintaining the synergy effect), and tested using firm-level data collected from 196 manufacturing firms in China. Garen's two-stage econometric technique was used to identify the impacts of two coordination strategies on competitive performance.Findings: Our study discusses and compares two different coordination strategies of mitigating the operational tensions across processes and deploying resource configurations for improving competitive performance. Our results show that while the balancing strategy can mitigate the risks resulted, the complementing strategy does not create synergistic effects on the focal firms' competitive performance.Originality/value: The results extend our understanding of the nature of B2B digital process coordination both in IS management and supply chain operations.
28 February 2023 in Journal of Enterprise Information Management
Purpose: With emerging markets representing great growth opportunities and serving as indispensable components in the global supply chain, it is unclear how well modern supply chain management theories developed in advanced markets apply to emerging markets. This study integrates the institution-based view with supply chain management literature to examine how integration capabilities can be leveraged to achieve supply chain agility in emerging markets and how the efficacy of integration capabilities is shaped by internal and external institutional contexts.Design/methodology/approach: This study examines how firms in emerging markets can leverage their platform integration and knowledge integration capabilities with channel distributors to improve the supply chain agility and how such relationships are shaped by both the internal (proxy by ownership structure) and external (proxy by regional openness) institutional contexts in which firms operate. Survey and archival data collected from 207 firms operating in China, one of the largest emerging markets, were used to test the proposed research model.Findings: The results reveal that platform integration and knowledge integration are two driving forces for supply chain agility in the emerging markets. Moreover, the results indicate that state-owned firms are able to achieve higher supply chain agility from their investments in knowledge integration with channel distributors than non-state-owned firms. While firms in regions with a high level of openness enjoy higher supply chain agility from knowledge integration, firms in regions with a low level of openness can catch up by investing in platform integration with their channel distributors.Originality/value: The authors extend the extant study on supply chain integration (SCI) research to examine how operational and strategic integration with channel distributors can help the focal firm achieve supply chain agility in emerging markets. The study results also enrich the existing studies in emerging markets by revealing the importance of the institutional context in which firms operate on B2B channel management.
The success of content community platforms (CCPs) heavily depends on the active engagement of users attracted by externally generated content. Previous research has highlighted the differentiation among various forms of user engagement, such as likes, comments, and retweets, in shaping the dynamics of value co-creation on CCPs. Our objective is to uncover distinct patterns of impact that information quality features have on these different forms of user engagement. Specifically, we employed deep learning techniques to extract information quality features and identified them as persuasive factors operating through central and peripheral routes based on the elaboration likelihood model (ELM), stimulating user engagement. Our dataset was derived from MaBeeWoo, China’s largest specialized CCP for travelogues with minimal barriers for creating text and image-based travelogues. By utilizing a negative binomial model, our analysis reveals significant differences in antecedents between retweets and likes/comments while also highlighting variations in the impact levels of specific content quality features between likes and comments. These findings suggest contrasting patterns regarding how content quality features influence information production and dissemination on CCPs, underscoring the necessity for platform sponsors to develop adaptive mechanisms aligned with their strategic objectives for incentivizing specific quality features.