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The Impact of Threatening Cybersecurity Situations on Employees: A Conceptualization of Security Perplexity
- Sebastian Lins
  Corresponding Author
  Sebastian Lins
  [email protected]
  https://orcid.org/0000-0001-7480-275X
  Faculty of Economics and Management, University of Kassel, 34109 Kassel, Germany
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  ,
- Malte Greulich
  Malte Greulich
  [email protected]
  https://orcid.org/0000-0002-2665-3064
  Department of Business and Economics, Karlsruhe Institute of Technology, 76133 Karlsruhe, Germany
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  ,
- Daniel A. Pienta
  Daniel A. Pienta
  [email protected]
  https://orcid.org/0000-0002-0171-6372
  Department of Accounting & Information Management, University of Tennessee, Knoxville, Tennessee 37996
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- Jason Bennett Thatcher
  Jason Bennett Thatcher
  [email protected]
  https://orcid.org/0000-0002-7136-8836
  Leeds School of Business, University of Colorado, Boulder, Colorado 80309
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- Ali Sunyaev
  Ali Sunyaev
  [email protected]
  https://orcid.org/0000-0002-4353-8519
  School of Computation, Information and Technology, Technical University of Munich, 74076 Heilbronn, Germany
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Published Online:June 2, 2026
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Abstract
As the cybersecurity landscape shifts toward more sophisticated, artificial intelligence–enabled, and unpredictable threats, employees are increasingly targeted as the primary entry points for breaches. Modern incidents, such as zero-day exploits and ...
Bid Shading in First-Price Auction: Nonstationary Bayesian Multiarmed Bandit Methods for Real-Time Bidding
- Mengzhuo Guo
  Mengzhuo Guo
  [email protected]
  https://orcid.org/0000-0003-3559-733X
  Business School, Sichuan University, Chengdu, Sichuan Province 610065, China
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- Wuqi Zhang
  Wuqi Zhang
  [email protected]
  https://orcid.org/0000-0003-4236-1827
  Tencent, Nanshan District, Shenzhen, Guangdong Province 518054, China
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- Yiwen Shen
  Yiwen Shen
  [email protected]
  https://orcid.org/0000-0002-9170-9044
  School of Business and Management, Hong Kong University of Science and Technology, Kowloon, Hong Kong 999077, China
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- Qingpeng Zhang
  Corresponding Author
  Qingpeng Zhang
  [email protected]
  https://orcid.org/0000-0002-6819-0686
  Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong, China; and Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; and HKU Shanghai Intelligent Computing Research Center, Shanghai, China; and Shenzhen Loop Area Institute, Shenzhen, China
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Published Online:June 1, 2026
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Abstract
First-price auctions have become common in online display advertising, but they create a practical problem: advertisers pay what they bid while often seeing only whether they won or lost. This opacity can lead to overpayment or missed impressions, ...
An Alternative Model of Brand Loyalty
- Xiaoyi (Sylvia) Gao
  Xiaoyi (Sylvia) Gao
  [email protected]
  Department of Marketing, Business School, University of Auckland, Auckland 1010, New Zealand
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- Vidyanand Choudhary
  Corresponding Author
  Vidyanand Choudhary
  [email protected]
  https://orcid.org/0000-0001-8812-4232
  Information Systems Area, Paul Merage School of Business, University of California, Irvine, California 92697
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Published Online:May 28, 2026
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Abstract
There are two different types of brand loyalty, and they work in different ways. Our study shows that loyalty created by switching costs, such as proprietary standards, data frictions, or restrictive interfaces, has very different market consequences from ...
Enhancing the Benefits of Similarity for Marginalized Identities: How Technology Features Influence Online Reviews When One Evaluates a Similar Other
- Saidat Abidemi Sanni
  Corresponding Author
  Saidat Abidemi Sanni
  [email protected]
  https://orcid.org/0000-0003-3404-6114
  Department of Operations and Analytics, Carlos Alvarez College of Business, The University of Texas at San Antonio, San Antonio, Texas 78249
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- Sherae L. Daniel
  Sherae L. Daniel
  [email protected]
  https://orcid.org/0000-0001-7471-5701
  Department of Operations, Business Analytics, and Information Systems, Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, Ohio 45221
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- Lauren Rhue
  Lauren Rhue
  [email protected]
  https://orcid.org/0000-0002-1071-9444
  Department of Decision, Operations and Information Technologies, Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742
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Published Online:May 28, 2026
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Abstract
This study examines how similarity, social identity, and platform design jointly shape user experiences in two-sided digital platforms. Drawing on theories of power asymmetry, social identity, and digital platforms, we analyze more than 500,000 reviews on ...
When Behavioral Data Betray Users: A Diagnostic and Protective Framework Against Social Interaction Leakages
- Yan Leng
  Corresponding Author
  Yan Leng
  [email protected]
  https://orcid.org/0000-0002-7084-2700
  Information, Risk, and Operations Management Department, McCombs School of Business, The University of Texas at Austin, Austin, Texas 78712
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- Yijun Chen
  Yijun Chen
  [email protected]
  https://orcid.org/0000-0002-9637-9064
  University of Melbourne, Melbourne 3010, Victoria, Australia
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- Xiaowen Dong
  Xiaowen Dong
  [email protected]
  https://orcid.org/0000-0002-1143-9786
  Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom
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- Junfeng Wu
  Junfeng Wu
  [email protected]
  https://orcid.org/0000-0002-7125-3748
  School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, China
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- Guodong Shi
  Guodong Shi
  [email protected]
  https://orcid.org/0000-0002-5929-9655
  Australian Centre for Robotics, School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, New South Wales 2006, Australia
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Published Online:May 28, 2026
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Abstract
Digital platforms often share publicly visible behavioral data, such as ratings and reviews, to improve service quality. Yet, these seemingly innocuous data can also reveal hidden social ties among users. We develop a two-stage framework that first ...

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