Digital Commerce and the Digitally Connected Enterprise
The contemporary and ongoing diffusion of digital technologies, e.g., mobile and distributed computing, social media, digital platforms, data analytics, artificial intelligence (AI), blockchains, IoT (Internet of Things), cloud computing, generate new possibilities for digital commerce, i.e., buying and selling of goods and services enabled and facilitated by digital technologies. It involves marketing activities that support these transactions, such as promotion, pricing, customer acquisition and retention, as well as customer activities at all touchpoints throughout their buying journey, such as purchase, content creation, and negotiation. This track is interested in papers that enhance knowledge of the design, implementation, and evaluation of emerging digital technologies in various commercial contexts, e.g., business-to-business and business-to-consumer commerce, financial service, and sharing economy applications.
Digital technology is not limited to facilitating buyer and seller transactions; rather, it is changing the form and boundary of a firm and introducing new business opportunities. For example, mobile devices are changing many aspects of marketing, advertising, operations, product management and introducing new business models for companies. With the emergence of big data that can be used to inform business decisions, the global penetration of AI and automation, and the Internet of Things that not only connects people but machines as well, opportunities to study the organizational aspects of e-business continue to expand. It calls for the development of relevant empirical and theoretical research into the managerial challenges faced by digitally connected enterprises and the innovation of business models, processes, products, and services supported by an increasing integration of new information technologies and new organizational practices.
This track welcomes papers that improve our understanding of the technical, behavioral, design, strategic and economic issues associated with Digital Commerce and the Digitally Connected Enterprise. It encompasses studies of IT-enabled transactions between consumers, businesses, and other organizations, as well as the use of digital technologies within and across organizations. We are especially interested in papers that advance theory and practice for emerging technologies and dispersed and platform-based organizational settings. We welcome submissions from all IS traditions and methodological approaches (analytical work, experiments, qualitative studies, design science, and so forth).
Track Chairs
Zhenhui (Jack) Jiang, Hong Kong University, jiangz@hku.hk
Miguel Godinho Matos, Catolica Lisbon School of Business & Economics, miguel.godinhomatos@ucp.pt
Wonseok Oh, Korea Advanced Institute of Science & Technology, wonseok.oh@kaist.ac.kr
2020 | ||
Monday, December 14th | ||
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Assessing Ad Attention through Clustering Viewport Trajectories Lennard Schmidt, HHL Leipzig Graduate School of Management
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12:00 AM |
Bad Mood or Avoidance: How Health-Hazard Information Influences Consumer Behavior Ying-Qiu Dong, National University of Singapore
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12:00 AM |
Beyond the Search Bar: The Value of Search Quality on E-commerce Platforms Wei Zhou, University of Arizona
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12:00 AM |
Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses Brian Rongqing han, University of Southern California
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12:00 AM |
Content and Composition: Understanding The Impact of Merchant Pictures on Market Performance Zhenbin Yan, University of Science and Technology of China
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12:00 AM |
Do Financial Advisors Matter? Online Channels and Investors’ Gambling Preferences Chewei Liu, Indiana University
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12:00 AM |
Impact of End-User Privacy Enhancing Technologies (PETs) on Firms’ Analytics Performance Dawei Chen, National University of Singapore
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12:00 AM |
Christian Meske, Freie Universität Berlin
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12:00 AM |
Ping Wang, University of Maryland
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12:00 AM |
Live Commerce: Understanding How Live Streaming Influences Sales and Reviews Lixia Hu, Dalian University of Technology
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12:00 AM |
More Personalized, More Useful? Reinvestigate Recommendation Mechanisms in e-Commerce Tuan (Kellan) Nguyen, National Tsing Hua University
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12:00 AM |
Off With Their Headers: Mechanism Choices in Online Display Advertising Francesco Balocco, Erasmus University
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12:00 AM |
Personalized discount targeting with causal machine learning Alex Miller, The Wharton School, University of Pennsylvania
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12:00 AM |
Yinli Huang, Tsinghua University
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12:00 AM |
The Impact of Functionality- and Non-Functionality-Based Product Associations on Product Return Junyoung Park, Georgia State University
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12:00 AM |
Huong May Truong, Erasmus University
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12:00 AM |
Towards Developing Trust-Supporting Design Features for AI-Based Chatbots in Customer Service Naim Zierau, University of St.Gallen
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12:00 AM |
Uplift Forest for Multiple Treatments and Continuous Outcomes Robin M. Gubela, Humboldt-Universität zu Berlin
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