Results 131 to 140 of about 4,770 (240)

Consumer Behavior Analysis in Digital Marketing Using AI and Big Data Analytics: A Narrative Review and Methodological Taxonomy

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos   +1 more
wiley   +1 more source

Familiarity Breeds Contempt, But Only for Her? Consumer Reactions to CEO Crisis Public Apologies

open access: yesJournal of Contingencies and Crisis Management, Volume 34, Issue 3, September 2026.
ABSTRACT Organizational crises place exceptional demands on leaders, yet external evaluations of crisis responses are shaped by both individual and organizational factors. Therefore, the purpose of this study is to examine how gendered expectations within organizations might shape evaluations of CEO crisis effectiveness in real‑world contexts.
Rebecca R. Langdon   +2 more
wiley   +1 more source

Preemptive Entry and Technology Diffusion: The Market for Drive‐In Theaters

open access: yesThe RAND Journal of Economics, Volume 57, Issue 3, Page 471-494, Autumn (Fall) 2026.
ABSTRACT This article studies entry preemption in new industries. We first test a key prediction of dynamic entry games: Entry preemption is most relevant in intermediate‐sized markets, where firms face highest uncertainty about future entry. Using US drive‐in theater market (1945–1957) data, we find robust evidence for this non‐monotonic relationship ...
Ricard Gil   +3 more
wiley   +1 more source

Catch Me If You Can: The Dynamic Nature of Bias in Machine Learning Applications

open access: yesInformation Systems Journal, Volume 36, Issue 5, Page 710-742, September 2026.
ABSTRACT Bias in machine learning (ML) applications represents systematic differences between expected and actual values of the predicted outputs, such that certain individuals or groups are systematically and disproportionately (dis)advantaged. This paper investigates the dynamic nature of bias in ML applications.
Monideepa Tarafdar, Irina Rets, Yang Hu
wiley   +1 more source

When Greenwashing Exploits Consumer Heuristics: Information Overload, Bounded Rationality, and Implications for Consumer Protection

open access: yesJournal of Consumer Affairs, Volume 60, Issue 3, Fall 2026.
ABSTRACT Greenwashing persists not only because firms are motivated to inflate their sustainability claims but also because consumers, limited by bounded rationality, depend on heuristics when overwhelmed with information. This conceptual article uses behavioral economics to connect specific types of greenwashing and greenhushing to affect ...
Luca Lancini
wiley   +1 more source

Politicized Framing of the Future: Encouraging Innovation in Mature Ecosystems in the Face of Asymmetric De Alio Entrants

open access: yesJournal of Management Studies, Volume 63, Issue 6, Page 2894-2926, September 2026.
Abstract Hubs and participants of mature ecosystems increasingly compete with de alio entrants that are hubs of more innovative ecosystems. Prior research shows how these asymmetric de alio entrants frame to win over participants from mature ecosystems and suggests that hubs of these ecosystems should respond by encouraging innovation among ...
Georg Reischauer   +2 more
wiley   +1 more source

A Resilience‐Based Reward‐Penalty Scheme for Hardening Electricity Distribution Assets Against High‐Impact, Low‐Probability Disasters

open access: yesEnergy Science &Engineering, Volume 14, Issue 8, Page 3811-3827, August 2026.
This paper introduces a novel resilience‐based reward‐penalty scheme (RPS) for electricity grids facing high‐impact, low‐probability (HILP) disasters. By modeling the costs of proactive asset immunization against reactive RPS penalties, our analysis conclusively demonstrates that long‐term investment in grid resilience is the more economically rational
Amirhossein Yousefi Joobeni, Reza Dashti
wiley   +1 more source

Surprise Marketing

open access: yesPsychology &Marketing, Volume 43, Issue 8, Page 1878-1898, August 2026.
ABSTRACT Surprise marketing, characterized by unexpected tactics such as blind boxes and spontaneous discounts, captivates consumers by sparking curiosity and participation. Despite increasing industry use, scholarly research remains fragmented and limited.
Xin‐Jean Lim   +2 more
wiley   +1 more source

Managing Emotions at Work: A TCCM Systematic Literature Review of Empirical Emotional Labour Research

open access: yesPsyCh Journal, Volume 15, Issue 4, August 2026.
ABSTRACT Emotional labour (EL) has become a serious concern in the modern workplace due to the rapid development of the service‐oriented economy. Existing literature reviews of emotional labour studies leave many questions unexplored. This study addresses these questions by conducting a holistic review of 143 high‐impact empirical articles published in
Shuyu Zhang   +3 more
wiley   +1 more source

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