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作者：Zhou, Yaxian; Yuan, Yufei; Huang, Kai; Hu, Xiangpei
作者单位：Dalian University of Technology; McMaster University
摘要：Grounded theory is a widely used scientific method for generating theories from qualitative data analysis. However, it is often time-consuming and requires professional training. Generative artificial intelligence, such as ChatGPT, excels in understanding and analyzing text, making it a valuable tool for qualitative research. This research proposes a novel approach to guide ChatGPT using the grounded theory method for qualitative data analysis and to design rigorous metrics for evaluating its ...
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作者：Turel, Ofir; Qahri-Saremi, Hamed
作者单位：University of Melbourne; Colorado State University System; Colorado State University Fort Collins
摘要：Two recent changes on social media platforms include (1) allowing users to mask the number of likes on others' posts, aimed at reducing social comparisons and consequent technology-mediated dangerous behaviors (TMDBs), such as disclosing private information, and (2) adding a dislike reaction, aimed at increasing engagement. Nevertheless, the effects of these changes on user behaviors are unclear. In this paper, we seek to address this gap by integrating risk-sensitivity theory (RST) and prospe...
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作者：Stratopoulos, Theophanis C.; Ye, Hua (Jonathan)
作者单位：University of Waterloo; University of Oklahoma System; University of Oklahoma - Norman
摘要：Prior research offers a minimal amount of direct evidence on the effect of gamification features such as top-donor leaderboards on medical crowdfunding, particularly regarding donor engagement, contributions per donor, and total campaign funds. The study analyzes data from 3,415 distinct medical campaigns, leveraging an unannounced change on GoFundMe. The findings reveal a complex scenario that defies simple expectations. The leaderboard is expected to increase donor engagement, but it appears...
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作者：Jang, Hongseok; Jung, Kyung Sung; Kwark, Young
作者单位：Tulane University; University of Denver
摘要：With the growing number of shoppers entering e-marketplaces, e-retailers commonly use tailoring technology to cater to diverse shopper needs and gain a competitive advantage. However, the impact of shopper heterogeneity in this tailoring competition remains unclear. Focusing on e-retailers' tailoring practice, we fill the gap by revealing its impact on e-marketplace channel competition and sellers' coordination decisions. We find that shopper expertise with competing e-retailers and pricing co...
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作者：Riedl, Christoph; Fueller, Johann; Hutter, Katja; Tellis, Gerard J.
作者单位：Northeastern University; University of Innsbruck; University of Southern California
摘要：Even though research has repeatedly shown that non-cash incentives can be effective, cash incentives are the de facto standard in crowdsourcing contests. In this multi-study research, we quantify ideators' preferences for non-cash incentives and investigate how allowing ideators to self-select their preferred incentive-offering ideators a choice between cash and non-cash incentives-affects their creative performance. We further explore whether the market context of the organization hosting the...
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作者：Yoon, Junho; Pant, Gautam; Pant, Shagun
作者单位：University of Iowa; University of Illinois System; University of Illinois Urbana-Champaign; University of Illinois System; University of Illinois Urbana-Champaign
摘要：In contrast with the accelerating trend of boundary-spanning (horizontal) technological innovation, the current Cooperative Patent Classification (CPC) scheme applies a hierarchical (vertical) structure to innovation output in terms of patents. For this reason, we argue that the CPC can be complemented with dynamic technological innovation system (TIS) discovery through machine learning that accounts for horizontal relationships across seemingly disparate technologies. Using a design science a...
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作者：Lin, Xiaolin; Wang, Xuequn; Shao, Bin; Taylor, Joseph
作者单位：California State University System; California State University Sacramento; Edith Cowan University; Texas A&M University System; West Texas A&M University
摘要：Although artificial intelligence (AI)-enabled chatbots have been increasingly incorporated into firms' business processes, such as customer service, they are still ineffective at handling unstructured tasks. Therefore, organizations might adopt chatbots to cut down the workforce for structured tasks and augment the remaining employees in unstructured tasks. Although there are substantial workforce implications for rebalancing work activities, few studies have assessed chatbots from the augment...
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作者：Ray, Abhishek; Ghasemkhani, Hossein; Martinelli, Cesar
作者单位：George Mason University; Purdue University System; Purdue University; George Mason University
摘要：Does it pay to appear unbiased in an attention-based economy where bias sells? We study this question in light of increased consumer partisan polarization and biases alongside greater technology usage and partisanship in journalism. Using a game-theoretic framework that captures the essential properties of the online news market, we show that polarization with biases may constrain neutral and partisan news websites' engagement-enhancing strategies differently; and online news providers can str...
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作者：Xia, Long; Shen, Wenqi; Fan, Weiguo; Wang, G. Alan
作者单位：Elon University; Virginia Polytechnic Institute & State University; University of Iowa
摘要：Despite tremendous recent progress, extant artificial intelligence (AI) still falls short of matching human learning in effectiveness and efficiency. One fundamental disparity is that humans possess a wealth of prior knowledge, while AI lacks the essential commonsense knowledge required for learning tasks. Guided by schema theory, we employ the design science research methodology to introduce a novel knowledge-aware learning framework to harness the knowledge-based processes in human learning....
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作者：Jabr, Wael; Ghoshal, Abhijeet; Cheng, Yichen; Pavlou, Paul
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; University of Illinois System; University of Illinois Urbana-Champaign; University System of Georgia; Georgia State University; University of Houston System; University of Houston; University of Houston System; University of Houston
摘要：Online retailers are increasingly focused on maintaining a long-term relationship with customers, encouraging repeat visits rather than single-time purchases to increase customer lifetime value. To help retailers maximize the probabilities of customers' revisiting and purchasing, we develop a two-stage model to better characterize and predict these two fundamental customer activities. In the first stage, we characterize the propensity of a customer revisiting the retailer's website. In the sec...
