團隊

In the burgeoning marketplaces of digital assets, non-fungible tokens (NFTs) revolutionize digital asset ownership and intellectual property (IP) protection, but high minting costs create barriers to marketplace entry and growth. This study examines the impact of “lazy minting,” a new NFT production method introduced by major NFT marketplaces to lower minting costs by deferring blockchain certification until the first sale. In response to the call for further research on emerging technologies in operations management, we explore how this policy affects the net sales performance of existing sellers in the NFT marketplaces. Based on transaction cost economics (TCE) and the literature about different IP protection methods, we distinguish between lazy- and regular-minted NFTs by their differential transaction costs and utilize the staggered difference-in-differences (DID) method to conduct our analysis. We find that lazy minting adoption significantly boosts the net sales performance of existing sellers. This is attributed to their cost-adaptive IP protection behavior. Specifically, they achieve this by minting more NFTs with a larger proportion of style-consistent NFTs through lazy minting, while strategically employing regular minting for style-breaking NFTs, which is contingent upon their reputation. Our study has important theoretical and practical implications for operations management under the emerging technological revolution.

Previous studies have shown great interest in examining the performance impact of platform-based functions (PBFs) used by e-marketplace sellers and the contingent role of salient variables, such as seller reputation, in the e-marketplace. Their findings, however, are fragmented and inconsistent, as they generally focus on the net, separate effect of a single PBF with debatable findings. The theorization of how sellers should configure multiple types of PBFs as a whole to achieve high sales performance lags far behind the booming competition practice. To identify an effective PBF combination, this study takes a configurational perspective to identify appropriate PBF configurations that can achieve high sales performance for sellers with different product positions and reputations. A fuzzy-set qualitative comparative analysis of a longitudinal data set of over 3,300 apparel sellers in a large e-marketplace yields interesting findings. The configuration results reveal recipes for PBF combinations for achieving high sales performance that vary across different levels of seller reputation and product positioning strategies. Our configuration findings suggest that sellers should configure PBFs according to distinctive product strategies accompanied by seller reputation conditions, where the resulting PBF configurations play an essential and multifaceted role in achieving high sales performances. Interestingly, our configuration analysis uncovers that for reputable sellers offering high-priced products, the utilization of pricing and marketing functions is counterproductive. Additionally, we observe complex interplays between after-sales functions and online reputation, characterized by complementary, substitutive, and independent relationships. Furthermore, our results demonstrate an asymmetry relationship between high and low sales configurations. It contributes to the emergent investigation of causal complexity in competitive strategy studies of e-marketplace sellers and provides specific causal recipes and holistic guidelines for sellers and platform operators.

Online retailers often confront the problem of order cancellation due to customers’ poor satisfaction with their online purchase decision, termed as choice satisfaction in this study. However, very little e-commerce literature has addressed customer choice satisfaction, and none, to our knowledge, has investigated how to design product display interfaces to achieve it. Drawing from choice closure theory and eye and vision research, we examine how product display orientation of an online shopping web page affects customers’ choice satisfaction upon purchase. We propose that a horizontal (versus vertical) display of comparable products on an e-commerce website is more positively related to customer choice satisfaction by promoting a higher level of choice closure (a psychological process by which online customers come to perceive a decision as completed and settled). Through five carefully designed experiments (including one using an eye-tracking device), we find that online customers achieve a higher level of choice satisfaction from an assortment of comparable products displayed horizontally than vertically on e-commerce websites. This effect results from the fact that a horizontal product display increases the amount of comparisons customers make between product options prior to making a purchase decision and consequential sense of choice closure after the decision. We also find that a cue of finality (e.g., adding a textual note “The end” to the product display) can largely attenuate this effect. The implications for online retailers’ product showcase strategies are discussed, along with future research directions.

近年來，人工智能（AI）技術的爆發式發展，在世界各地掀起了激烈討論與深層焦慮，究竟人工智能會否替代人類工作，並且摧毀各行各業。早在 2016 年，英國物理學家霍金生前就有此預言：隨着人工智能崛起，中產階級勢將深受就業流失趨勢的影響，只有最講求關愛、創造力和監督力的崗位得以保留。

Contemporary IT project teams engage in creative problem solving to address increasingly complex business problems, which highlights the need to promote IT project team creativity. Collaboration technologies are widely used in IT project teams, but little is known about what collaboration technology features can be used to improve IT project team creativity and the underlying influencing mechanisms. To address this important gap, the current study builds on the extended team knowledge framework to identify collaboration technology features and decodes their influencing mechanisms on IT project team creativity by drawing on the novel creative synthesis theory originating in the management literature to the IT project team context. We identify three sets of collaboration technology support features, that of awareness knowledge supports, long-term knowledge supports, and transitional knowledge supports, and posit that their use can improve IT project team creativity via facilitating the creative synthesis process which includes three sub-constructs of collective attention, similarity building, and enacting ideas. The research model is supported in general by empirical data collected through a multi-sourced survey of over 500 team members and their leaders from 62 IT project teams. Theoretical and practical implications are discussed.

在大數據與人工智能深度融合的今天，數據已成為企業發展的核心資產。隨着人工智能技術的不斷突破與廣泛應用，數據的價值上升至前所未有的高度，幾乎所有企業都致力於利用數據分析來獲取有價值的商業洞見。

海底電纜承載著全球約99%的洲際資料流程量，對推動數字經濟發展非常重要。中國政府在「十四五」規劃中明確提出要加快建設數字基礎設施，推動「數字絲綢之路」深入發展。

Supply chain agility has been recognized as a key capability for firms working to achieve superior performance in uncertain business environments. Supply chain agility is challenging to achieve, however, because it requires the firm and its supply chain partners to collaborate closely yet flexibly across organizational boundaries. Extending the boundary object literature to the supply chain context, this study unveils the mechanism through which interorganizational systems (IOS), widely deployed to span organizational boundaries through interfirm digital connections, promote supply chain agility in uncertain environments. The concept of supply chain collaboration is introduced as the mediating mechanism between two key IOS characteristics (i.e., standardization and adaptability) and supply chain agility. Environmental uncertainty is incorporated as the contextual condition through contextualized theorization of IOS as boundary objects. The resulting hypotheses are tested via a two-wave, match-paired survey study on business and information technology executives in 156 manufacturing firms. Empirical findings provide general support to most hypotheses, and implications for theory development and professional practice are discussed.

Sharing economy platforms are pressed to rapidly grow user bases at the early stage by aggressively targeting potential users through competitive actions. Due to the volatile nature of the sharing economy and its disruption to industry norms, these platforms encounter legitimacy challenges that impede user base growth. This paper integrates competitive repertoire and institutional legitimacy theories to develop a research model that explains early-stage user base development in the sharing economy. We posit that the early-stage user base is associated with structural characteristics of the competitive repertoire, whose effects are moderated by a platform's socio-political legitimation efforts that address stakeholders’ regulatory and normative concerns. Using a comprehensive sample of 4644 monthly observations of 129 sharing economy platforms in China, we find that the volume of two context-specific competitive actions, offering economic incentives and staging high-visibility events, along with competitive repertoire complexity, are positively related to the platform's early-stage user base. We also identify a significant negative relationship between repertoire differentiation and user base. Direct relationships are moderated by socio-political legitimation, however, such that legitimation weakens the positive impact of context-specific action volume but enhances those of repertoire complexity and differentiation. Managerial and practical implications are discussed in light of the findings.