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Presentation information

Yukun LIU (ZJU-SOM)

Achieving Effective Remote Working through Work Design: Empirical Evidences from China and the Netherlands

Abstract

New advances in digital technologies, especially information and communication technologies, have produced fundamental changes to the characteristics of work. One of the significant changes is that remote working, or working from home, is becoming a common practice or even a new normal. In this talk, using the perspective of work design, I will discuss the challenges of remote working as well as some potential strategies to help remote workers achieve work effectiveness and well-being. I will share some empirical evidences from both China and the Netherlands and discuss the implications of these findings.

Biography of Speaker

Yukun LIU is an assistant professor in the Department of Leadership and Organization Management within the School of Management of Zhejiang University. His research interests include work design in the digital era, workplace dynamics, etc. His research appeared in Academy of Management Annals, Journal of Applied Psychology, Organizational Behavior and Human Decision Processes, etc.

Jun HU (TU/e)

Connected Everyday Objects for Managing Stress in Children

Abstract

Research has shown that the use of smart objects and robots is effective in helping children in mitigating stress and anxiety, and in improving their social skills, especially for children with Autism Spectrum Disorders (ASD). Both TU/e and ZJU have a track record in this research area, from the perspectives of human-computer interaction and utilizing new sensing technologies. The objectives of the research are two-fold: Applying the knowledge learned in designing everyday objects for Children with ASD, to help manage stress and improve social behavior; Applying the same technology and knowledge in design everyday objects, to help manage stress in Chinese children caused by the competitive educational system and high expectations from the families. In this talk I will share experiences from related research projects on stress management and the ongoing effort in designing for managing stress in children.

Biography of Speaker

Dr. Jun HU is a Senior Member of ACM, currently an Associate Professor in Design Research on Social Computing, and the Scientific Director for the Professional Doctorate in Engineering program in User System Interaction at Department of Industrial Design (ID) , Eindhoven University of Technology (TU/e), a Distinguished Adjunct Professor at Jiangnan University and a Guest Professor at Zhejiang University. His research interests are in the fields of HCI, IoT, AI, industrial design, computer science and design education.

Andreas Alexiou (TiSEM)

Untangling the contingent effect of geographical dispersion on the performance of innovation teams

Abstract

This study investigates under what conditions the innovation performance of cross-border innovation teams is enhanced by focusing on moderators at both the team- and industry-level. The analysis of 2,134 patents filed by cross-border teams of FTSE-100 firms across 1995?2015 provides partial support for the hypotheses. Our results indicate that the larger teams and those working in high-velocity industries may experience a smaller negative effect from geographical diversity on their innovative performance when compared to smaller teams or teams in low-velocity industries. Moreover, contrary to prior research and our hypothesis, a U-shaped curvilinear relationship was found between geographic diversity and innovation performance, suggesting that the negative side-effects of increased geographical diversity overpower the positive ones. This study reveals the relationship between geographical dispersion and innovation performance and provides relevant insights for organizations on how to organize their cross-border innovation teams.

Biography of Speaker

Andreas Alexiou is an assistant professor in Digital Strategy at TiSEM, Tilburg University. His research centers on the implications of disruptive technologies for the survival and renewal of firms. Among others, he has explored the role of organizational learning in adopting emerging technologies, the formation of technological ecosystems, the innovativeness of distributed Agile teams, the paradoxes of high growth firms, vendor-client dynamics in A.I outsourcing contracts and the impact of RPA adoption on employee perceptions of job insecurity. Being a dedicated educator he has also pursued a series of papers in the role of game-based technologies in facilitating student engagement and learning.

Weihua ZHOU (ZJU-SOM)

The Interplay of Earnings, Ratings, and Penalties on Sharing Platforms: An Empirical Investigation

Abstract

On-demand delivery through sharing platforms represents a rapidly rising segment of the global workforce. The emergence of sharing platforms enables gig workers to choose when and where to work, allowing them to do so flexibly. However, such flexibility brings notorious challenges to platforms in managing the gig workforce. Thus, understanding the behavioral and incentive issues of gig workers in this new business model is inherently meaningful. This paper investigates how the incentive mechanisms of sharing platforms, namely earnings, ratings, and penalties, affect the working decisions of gig workers and their nuanced relationships. To achieve this goal, we utilize data from one leading on-demand delivery platform with more than 50 million active consumers in China and implement a two-stage Heckman model with instrumental variables to estimate the impact of earnings, ratings, and penalties. We first show that a higher percentage of five-star ratings motivates gig workers to work more. However, interestingly, when ratings are employed together with earnings, workers with a higher percentage of five-star ratings tend to be less sensitive toward an earning increase (i.e., negative rating moderating effect). Second, we uncover that higher penalties discourage workers from working more, whereas, interestingly, workers with higher penalties tend to be more sensitive toward an earning increase (i.e., positive penalty moderating effect). Moreover, we observe nonlinear effects for both moderating effects; that is, the marginal effects diminish when the magnitude of ratings or penalties increases. Finally, we conduct follow-up surveys to understand the underlying mechanisms of the observed moderating effects from both psychological (i.e., intrinsic versus extrinsic motivation and self-esteem) and economic (i.e., risk-aversion) perspectives, and run additional regression analyses on worker behavioral patterns to investigate when gig workers achieve better performance feedback. The ultimate goal is to provide guidelines for sharing platforms on how to design better incentive mechanisms by understanding the interplay of earnings, ratings, and penalties.

Biography of Speaker

Prof. Weihua ZHOU is Associate Dean of School of Management, Zhejiang University. His research interests include Logistics and Supply Chain Management, Supply Chain Finance.

信息来源：浙大管院国际合作与认证中心 黄雨婷

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