團隊

以生成式人工智能、機器學習為代表的人工智能技術，正以前所未有的速度與潛力重塑產業。報告顯示，人工智能有望將生產力提升33%，並重新定義全球競爭格局與經濟增長。

在全球Web 3.0浪潮推動虛擬資產市場規模持續擴張、國際金融秩序重塑的背景下，構建平衡穩健的本地Web 3.0生態體系，已然成為香港金融發展的破局支點。

人工智能（AI）技術發展日新月異。學術界已有大量研究報告表明，在不同工作場景中，人機協作能顯著提升效率與創造力。社會各界亦已對人工智能技術對不同工作帶來的生產力提升有所感知。

Blockchain technologies have catalyzed the rise of decentralized autonomous organizations (DAOs), which operate in an incentive network fueled by crypto tokens. In essence, these tokens are imbued with either payment rights (i.e., transactional tokens) or ownership rights (i.e., governance tokens). The decentralized organizational paradigm dismantles the traditional management structure and bring new research opportunities to Operations Management (OM). While the performance of DAOs has been largely examined in current OM literature, the effectiveness of their internal incentive mechanisms—specifically the one that uses ownership as rewards to promote user contributions—remains unclear. Focusing on DAO-enabled virtual communities, we seek to examine whether decentralized ownership provides stronger incentives for user behaviors, such as creation and curation, in comparison to traditional monetary rewards through the lens of psychological ownership theory. We obtained data from Steemit that captures the reward, creation, curation and transaction behaviors of 98,000 users from May 2017 to April 2019. By leveraging the “power-up” action as a shock that increases user ownership shares, we established a quasi-experimental setting. Employing the PSM-DID model, we found that the use of governance tokens is associated with enhanced creation and curation efforts but declined creation novelty, compared to the use of transactional tokens. Our additional analyses further reveal that the incentive effects of governance tokens diminish over time. However, upon the recurrence of the intended choice, these effects become reinforced. Notably, we find that governance token ownership is more strongly associated with curation efforts for users with weaker social ties. Conversely, for users with high reputation scores, their content creation behaviors are less strongly associated with governance token ownership. This study contributes to the burgeoning discourse on blockchain and cryptocurrency from an operational perspective, providing valuable insights for the design of incentive mechanisms in DAOs and advancing our understanding of operational efficiencies and stakeholder engagement in decentralized structures within Operations Management.

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。