团队

人工智能（AI）技术发展日新月异。学术界已有大量研究报告表明，在不同工作场景中，人机协作能显著提升效率与创造力。社会各界亦已对人工智能技术对不同工作带来的生产力提升有所感知。

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.

近年来，人工智能（AI）技术的爆发式发展，在世界各地掀起了激烈讨论与深层焦虑，究竟人工智能会否替代人类工作，并且摧毁各行各业。早在 2016 年，英国物理学家霍金生前就有此预言：随着人工智能崛起，中产阶级势将深受就业流失趋势的影响，只有最讲求关爱、创造力和监督力的岗位得以保留。

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.

在大数据与人工智能深度融合的今天，数据已成为企业发展的核心资产。随着人工智能技术的不断突破与广泛应用，数据的价值上升至前所未有的高度，几乎所有企业都致力于利用数据分析来获取有价值的商业洞见。

海底电缆承载著全球约99%的洲际资料流程量，对推动数字经济发展非常重要。中国政府在“十四五”规划中明确提出要加快建设数字基础设施，推动“数字丝绸之路”深入发展。

当代资讯科技(IT) 项目团队要求成员提供新颖想法并加以落实，以应对不断变化的资讯科技和业务需求。另外，新冠疫情限制商务出行，更多的公司必须允许有多学科背景的、分布在多个地点的IT人才组成项目团队来开发新的IT解决方案。在这个团队，个体成员需要在创意构思(IG) 阶段利用与他人不同的专业知识提出新颖的想法，然后在创意实施(II) 阶段加以落实，这称为IGII过程。尽管已有很多研究解释个人创造力，但现存文献甚少提供理论支撑以阐释如何应对职能专长差异性和地理位置分散度所带来的双刃效应——它们是多学科、跨地域IT项目团队的两个基本特质，并与个人创造力和后续绩效息息相关。我们借鉴IGII 框架，提出以交互记忆系统(TMS) 作为合理的团队级解决方案以应对这挑战。经由对35个IT项目团队的141名成员及其主管集成的跨层次数据集进行分析，我们发现在跨学科、跨地域分布的IT 项目团队中，项目团队级的TMS 和地理位置分散度会以交互方式调节团队成员个人的IGII 过程，但在II 和IG两个阶段呈现出有趣的迥异性。