Strategic Sustainability in E-Commerce: Stakeholder-Centric Innovation in the Digital Retail Landscape

Published: Jan. 1, 2025

Language: Английский

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Appetite for distraction? A systematic literature review on customer smartphone distraction

International Journal of Information Management, Journal Year: 2023, Volume and Issue: unknown, P. 102722 - 102722

Published: Nov. 1, 2023

In today's society, the ubiquitous presence of personal smartphones has led to phenomenon of, what we call, customer smartphone distraction (CSD). This paper introduces concept CSD, which occurs when an internet-connected competes for a customer's attention during consumption goal-oriented task or behavior. Based on three-stage research process involving systematic literature review and expert opinion survey with multi-disciplinary lens better understand this phenomenon, develop conceptual framework underpinned by Cognitive – Affective Personality System (CAPS) Theory that incorporates antecedents, contingency variables, consequences CSD. Our findings suggest CSD is complex influenced both environmental stimuli, such as audio visual notifications, internal psychological states, boredom anxiety, are interdependent factors contribute Interestingly, absence stimuli alone may not reduce To deal issue, customers need take responsibility their behavior, while businesses, society policy makers can assist through education design mobile device experiences. Overall, highlight deeper understanding its impact behavior well-being, outline implications researchers, practitioners, broadly

Language: Английский

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Analytical modeling of perceived authenticity in AI assistants: application of PLS-predict algorithm and importance-performance map analysis

South Asian Journal of Business Studies, Journal Year: 2024, Volume and Issue: unknown

Published: June 4, 2024

Purpose The present study aimed to explore the consequences of perceived authenticity in artificial intelligence (AI) assistants and develop a serial-mediation architecture specifying causation loyalty human–AI relationships. It intended assess predictive power developed model based on training-holdout sample procedure. further attempted map examine predictors loyalty, strengthening such relationship. Design/methodology/approach Partial least squares structural equation modeling (PLS-SEM) bootstrapping technique was employed higher-order effects pertaining relational intricacies. size comprised 412 AI assistant users belonging millennial generation. PLS-Predict algorithm used model, while importance-performance analysis executed effectiveness predictor variables two-dimensional map. Findings A positive relationship found between “Perceived Authenticity” “Loyalty,” which serially mediated by “Perceived-Quality” “Animacy” context. construct “Loyalty” remained significant “Emotional-Attachment” “Word-of-Mouth.” possessed high power. Mapping delivered contradictory result, indicating “authenticity” as most “loyalty,” but effective performance dimension. Practical implications findings may assist marketers understand relevance critical behavioral underlying customer retention extension strategies. Originality/value is pioneer introduce hybrid establish its explaining transactional communal view human reciprocation exclusively provided relative assessment

Language: Английский

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Perceived brand transparency: A conceptualization and measurement scale

Psychology and Marketing, Journal Year: 2024, Volume and Issue: 41(10), P. 2274 - 2297

Published: June 10, 2024

Abstract Amid product scandals, corporate malpractices, and the proliferation of misinformation, consumers are becoming increasingly more skeptical about brands they purchase. Transparency is often hailed as a strategic imperative to reassure increase brand trust; however, its deployment can be complex. With additional transparency, may become overloaded with information, exposed unwanted external scrutiny. Consequently, before disclosing strategically sensitive need insight into how increasing transparency might translate desirable consumers' evaluations. Addressing this need, we examine initiatives evaluation by delineating dimensions perceived construct, namely, observability , comprehensibility intentionality . Next, use conceptualization develop validate scale measure transparency. We close research agenda, well practical guidance for managers considering investing in initiatives.

Language: Английский

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Explorative or exploitative innovation? The moderating effect of big data marketing capability

Journal of Business and Industrial Marketing, Journal Year: 2025, Volume and Issue: unknown

Published: April 26, 2025

Purpose This study aims to examine the role of big data marketing capability (BDMC) in shaping firms’ innovation behavior within context digital innovation. By defining BDMC and identifying its core dimensions, provides a framework for understanding how moderates inverted U-shaped relationship between two key types – explorative exploitative their impact on performance. Design/methodology/approach is conceptualized through five dimensions: (1) data-driven specialized capability, (2) customer management (CRM) (3) channel alliance (4) brand (5) market information knowledge capability. A refined measurement scale developed based these dimensions. Using hierarchical regression analysis tests, this investigates nonlinear (inverted U-shaped) Empirical conducted using from 151 firms Chinese automotive manufacturing industry. Findings The results confirm distinct effects performance, with relationships significantly moderated by BDMC. Under experience-driven exhibits positive linear effect while follows an pattern. However, BDMC, performance shifts U-shape, transitions U-shape highlighting BDMC’s moderating role. Originality/value advances literature clearly refining assessing influence strategies. It contributes behavioral theory firm, capability-based view positioning as pivotal that shapes ability balance practical insights undergoing transformation, offering strategic leveraging enhance

Language: Английский

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