Chee-Wee Tan, Associate Professor, Copenhagen Business School：The Art of Online Foraging: Adaptive Search in Consumer-Generated Content Environments
【Speaker】 Chee-Wee Tan, Associate Professor, Copenhagen Business School
【Title】The Art of Online Foraging: Adaptive Search in Consumer-Generated Content Environments
【Venue】Room 385, Weilun Building, Tsinghua SEM
【Language】English and Chinese
【Organizer】Department of Management Science and Engineering
【Abstract】 Inefficiencies associated with online information search are becoming increasingly prevalent in digital environments due to a surge in Consumer Generated Content (CGC). Despite growing scholarly interest in investigating users’ information search behavior in CGC environments, there is a paucity of studies that explores the phenomenon from a theory-guided angle. Drawing on Information Foraging Theory (IFT), we re-conceptualize online information search as a form of adaptive user behavior in response to system design constraints. Through this theoretical lens, we advanced separate taxonomies for online information search tactics and strategies, both of which constitute essential building blocks of the search process. Furthermore, we construct a research framework that bridges the gap between online information search tactics and strategies by articulating how technology-enabled search tactics contribute to the fulfillment of strategic search goals. Subsequently, our research framework was validated via an online experiment in which Amazon Mechanical Turk (AMT) participants were recruited and tasked to perform searches on custom-made online review websites, which are modeled after their actual counterpart and populated with real review data of restaurants. Empirical findings reveal that the provision of different search features engenders distinct search tactics, thereby exposing users to varying levels of search determination control and search manipulation control. In turn, both types of search controls affects users’ result anticipation and search costs, which when combined, determine the efficiency of goal-oriented search strategy and the utility of exploratory search strategy.
【Bio】Chee-Wee Tan is an Associate Professor in the Department of IT Management at Copenhagen Business School (Denmark). He holds a PhD in Business Administration from the University of British Columbia (Canada) as well as Master of Science and Bachelor of Science degrees from the National University of Singapore (Singapore). Chee-Wee's research interests focus on design and innovation issues related to the delivery of digital services in various contexts. Particularly, he is interested in discovering how value can be extracted from digital services and exploring ways by which contemporary technological trends can contribute to the design of innovative services. Findings from his research has been presented at numerous international conferences and he has articles published or forthcoming in journals such as MIS Quarterly (MISQ), Information Systems Research (ISR), Journal of the American Society for Information Science and Technology (JASIST), European Journal of Information Systems (EJIS) and Decision Support Systems (DSS) among others. Chee-Wee currently serves as an Associate Editor for MISQ and is a past recipient of the Outstanding Associate Editor Award for services rendered to MISQ. He is also serving as a guest editor for two special issues, one on 'Embracing the Internet of Things (IoT) to Drive Data-Driven Decisions' at the Journal of Management Analytics (JMA) and one on ‘Omnichannel Business: Opportunities and Challenges’ at Decision Support Systems (DSS). In addition, Chee-Wee is also serving as an advisory board member for a Special Issue on ‘Transformative Value of Cloud Computing’ at Journal of Management Information Systems (JMIS).