Vivianna Fang He
Last Name
He
First name
Vivianna Fang
Email
viviannafang.he@unisg.ch
Phone
+41 71 224 7194
28 results
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Item type:Publication, Algorithmic Facial Expression Analysis: A Novel Methodology to Advance Management Research on EmotionsWith the rapid advancement of artificial intelligence technologies, algorithmic facial expression analysis (AFEA) has emerged as a promising methodology to measure emotions. Despite rapid adoption across management subfields, however, the full scope of AFEA’s theoretical potential remains underexplored. This paper provides a framework that links the AFEA measurement innovation to major opportunities for theoretical advancement around emotions in organizations. We start by describing the methodological basis of AFEA and reviewing its applications in management research to date. We then outline two core capabilities of AFEA—namely, capturing the temporal structure of emotions and detecting inauthentic expressions of emotions—and illustrate how these capabilities can enable theory advancement in management research. After presenting an empirical demonstration of AFEA’s capabilities and a practical step-by-step guide for using it, we conclude by discussing key considerations for realizing the future potential of AFEA research.Type:journal articleJournal:Academy of Management JournalVolume:forthcoming - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Humans and Algorithms in Organizations: Navigating the Intersection of Blockchain and AI(Academy of Management, 2024-08) ;Magnus Van Haaren ;Xule Lin ;Carlos Santana ;Oliver BaumannRobert Wayne GregoryType:journal articleJournal:Academy of Management ProceedingsVolume:2024Issue:1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The crowd beyond funders: An integrative review of and research agenda for crowdfunding(2024); ; Alex MurrayCrowdfunding, or soliciting small contributions from large and dispersed crowds through online platforms, is an increasingly indispensable strategy for established firms, young ventures, and aspiring entrepreneurs alike. Synthesizing research in the fields of management, entrepreneurship, innovation, operations, information systems, and marketing, we conduct an integrative review of the crowdfunding research accumulated over the past decade. We aim to break down disciplinary silos to develop a framework that integrates insights across research communities. We identify three underlying dimensions that differentiate extant research: the goal of the campaigner, the role of the crowd, and the boundary of the crowdfunding event. Scholars have brought two perspectives to bear on these questions: an elemental perspective and a processual perspective. We outline an integrative model that takes account of crowdfunding as a process involving heterogeneous participants with idiosyncratic monetary and non-monetary goals at different stages. Our multidisciplinary review of this expanding body of literature not only integrates dispersed insights but also, more importantly, stimulates a future research agenda that goes beyond the traditional boundaries of crowdfunding research.Type:journal articleJournal:Academy of Management AnnalsVolume:18Issue:1Scopus© Citations 23 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Some challenges for the “New DAOism”: A comment on Klima DAO(2024); Phanish PuranamAs observers of organizations, we have found the recent and dramatic rise in the numbers of Decentralized Autonomous Organizations (DAOs) fascinating. In its extreme form, which we will characterize (with apologies to Lao Tze) as the “new DAOism”, the belief appears to be that DAOs will take over the world (1 day). While admiring the ambition of the new DAOists, we cannot help but noticing the gap between the rhetoric and the reality. In his informative account of Klima DAO (as well as the working of the carbon credit markets), Professor Jirasek makes the statement that such a DAO may be a “model for future organizations in search of greater transparency and flatter governance structures.” With the insertion of “some” before “future”, we would be in full agreement with his statement. However, this qualification is an extremely important one, as we do not expect DAO’s to be good models for every organization in search of these virtues. It would be an interesting discussion topic by itself whether KlimaDAO needed to be a DAO to do what it wanted to do, or could it do much if not all of it within more traditional structures. However, to keep our commentary compact, we focus on its organization design, and not on the viability of its business model which is connected to carbon credits trading.Type:journal articleJournal:Journal of Organization Design - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Designing human resource management systems in the age of AI(2023) ;Patrick Tinguely ;Junghyun LeeThe increasing adoption of artificial intelligence (AI) is reshaping the practices of human resource management (HRM). We propose a typology of HR–AI collaboration systems across the dimensions of task characteristics (routine vs. non-routine; low vs. high cognitive complexity) and social acceptability of such systems among organizational members. We discuss how organizations should design HR–AI collaboration systems in light of issues of AI explainability, high stakes contexts, and threat to employees’ professional identities. We point out important design considerations that may affect employees' perceptions of organizational fairness and emphasize HR professionals' role in the design process. We conclude by discussing how our Point of View article contributes to literatures on organization design and human–AI collaboration and suggesting potential avenues for future research.Type:journal articleJournal:Journal of Organization DesignIssue:12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Searching Together: A Theory of Human-AI Co-CreativityType:journal articleJournal:SSRN Electronic Journal - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How the Internet of Things reshapes the organization of innovation and entrepreneurship(2022-12-20) ;Clarysse, Bart; Christopher L. TucciType:journal articleJournal:TechnovationVolume:118Scopus© Citations 28 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Expertise Diversity, informal leadership hierarchy, and team knowledge creation: A study of pharmaceutical research collaborations.Type:journal articleJournal:Organization StudiesVolume:43Issue:6Scopus© Citations 27 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Asymmetries between partners and the success of university-industry research collaborationsDespite the common belief that orientation asymmetry—fundamental differences in the goals and expectations between partners—constitute a major barrier to successful collaboration, empirical evidence on how orientation asymmetry impacts university-industry collaboration is rare. We seek to understand the nature and impact of orientation asymmetry by conducting a mixed-method study of the research collaborations between a Big Pharma and its academic partners. Our interviews reveal critical asymmetries between partners, concerning not only different orientations, but also different perceptions of conflict. Building on these qualitative findings, we conduct a multi-wave, multi-source survey study to unpack the relationships between orientation asymmetry, conflict within collaboration teams, conflict perception asymmetry, and different types of collaboration success. We contribute to the literature on university-industry collaborations by providing a much-needed comparison of the perspectives from both sides of the collaboration and developing a nuanced understanding of the dynamics within collaboration project teams. We discuss the implications of our findings for researchers, managers, and policymakers.Type:journal articleJournal:Research PolicyVolume:50Issue:10Scopus© Citations 57 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Algorithm supported induction for building theory: How can we use prediction models to theorize?Type:journal articleJournal:Organization ScienceVolume:32Issue:3
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