Can generative artificial intelligence help or hinder sustainable marketing? DOI Creative Commons
Breda McCarthy

Journal of Resilient Economies (ISSN 2653-1917), Journal Year: 2024, Volume and Issue: 4(2)

Published: Dec. 30, 2024

The consumption and production of household goods services is a significant contributor to climate change, which has led the rise more sustainable brands. aim this paper offer an analysis advantages, practical applications, limitations ethical risks GenAI within realm marketing. contributes literature since there scarcity scholarly research that explores what could mean for findings show double-edged sword: it potential foster creativity, support brand activism, increase public ‘green’ policies, improve efficiencies, however ‘ethics-washing’ harm Many countries have developed voluntary principles frameworks ensure AI practiced in safe responsible manner. A comprehensive classification these provided. Five key are summarised such as benefiting society, avoiding harm, autonomy, justice, explainability. concludes with recommendations bridging gap between practices context marketing, including selective disclosure, design inclusive chatbots, use visualizations achieve sustainability goals, third party certification schemes, training education. Recommendations future outlined.

Language: Английский

Understanding User Acceptance of AI-Driven Chatbots in China’s E-Commerce: The Roles of Perceived Authenticity, Usefulness, and Risk DOI Creative Commons
Rob Kim Marjerison, Hang Dong, Jong Min Kim

et al.

Systems, Journal Year: 2025, Volume and Issue: 13(2), P. 71 - 71

Published: Jan. 21, 2025

This study examines users’ perceptions of Chatbots in China, with a particular focus on the factors influencing their acceptance and usage. Grounded Technology Acceptance Model (TAM), we analyze data from 542 online responses to explore roles Perceived Authenticity, usefulness, risk shaping user behavior toward AI-driven Chatbots. Using linear regression mediation analyses, our findings indicate that both Authenticity Usefulness positively impact behavioral intentions, while Risk has negative influence. Notably, serves as mediator between intentions Risk. These results contribute growing body research AI e-commerce by providing empirical evidence key affecting Chatbot adoption. The offers valuable implications for developers marketers, suggesting enhancing usefulness addressing Risks can improve acceptance. insights are particularly pertinent practitioners aiming refine technology expand its application across various sectors.

Language: Английский

Citations

3

Determinants of Generative AI in Promoting Green Purchasing Behavior: A Hybrid Partial Least Squares–Artificial Neural Network Approach DOI Open Access
Behzad Foroughi, Bita Naghmeh‐Abbaspour, Jun Wen

et al.

Business Strategy and the Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

ABSTRACT In the era of rapid technological advancement, generative artificial intelligence (AI) has emerged as a transformative force in various sectors, including environmental sustainability. This research investigates factors and consequences using AI to access information influence green purchasing behavior. It integrates theories such adoption model, value–belief–norm theory, elaboration likelihood cognitive dissonance theory pinpoint prioritize determinants usage for Data from 467 participants were analyzed hybrid methodology that blends partial least squares (PLS) with neural networks (ANN). The PLS outcomes indicate interactivity, responsiveness, knowledge acquisition application, concern, ascription responsibility are key predictors use information. Furthermore, concerns, values, personal norms, responsibility, individual impact, emerge ANN analysis offers unique perspective discloses variations hierarchy these predictors. provides valuable insights stakeholders on harnessing promote sustainable consumer behaviors

Language: Английский

Citations

2

Online opinion leadership styles and purchase intention in livestreaming e-commerce DOI
Jun Ma, Jianyu Chen,

Guanxu Zhang

et al.

Service Industries Journal, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 27

Published: Aug. 14, 2024

As online opinion leaders and persuaders, livestreamers enable the widespread success of livestreaming e-commerce by substantially impacting viewers' purchase intention. Yet, extant studies have overlooked leadership styles exhibited how these influence We explore this issue developing a comprehensive framework livestreamers' styles, comprising authentic, ethical, servant, participative dimensions, based on both literature. Then, drawing regulatory focus theory, partial least square-structural equal modeling analysis survey data collected from 321 Chinese viewers revealed that with authentic ethical promote prevention focus. Next, servant promotion Finally, propel their Our findings contribute to development in computer-mediated e-commerce.

Language: Английский

Citations

4

Adoption of E-commerce technologies among SMEs in Ghana under the influence of integrated UTAUT and TOE frameworks DOI
Joshua Kwame Mensah,

Yaqing Xu

Information Development, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

This paper examined the adoption of e-commerce systems in Ghana under influence integrated UTAUT and TOE frameworks. The bridges gaps literature context understanding how framework constructs moderate core on EC among SMEs. data generated (362) via an online questionnaire from a cross-section Ghanaian SMEs was analyzed with Smart PLS using structural equation model methods. results demonstrate that both performance effort expectancy drive intention to use systems. Behavioral found be significant influencing behavior However, organizational factors failed significantly intent Additionally, moderating demonstrated importance technological aspects reducing impact utilize. Also, environmental were substantial implications these including theoretical managerial are discussed thoroughly aid researchers policymakers when it comes

Language: Английский

Citations

0

Generative artificial intelligence in tourism management: An integrative review and roadmap for future research DOI
Hengyun Li, Jianpu Xi, Cathy H.C. Hsu

et al.

Tourism Management, Journal Year: 2025, Volume and Issue: 110, P. 105179 - 105179

Published: March 31, 2025

Language: Английский

Citations

0

Sustained use of generative AI for shopping: a PLS-ANN analysis DOI
Behzad Foroughi, Morteza Ghobakhloo, Jun Wen

et al.

Service Industries Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34

Published: April 3, 2025

Language: Английский

Citations

0

Balancing trust and distrust in generative AI chatbot adoption: a case study from China DOI
Khuram Shahzad, Ali Khan, Bilal Ahmad

et al.

Service Industries Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 24

Published: April 17, 2025

Language: Английский

Citations

0

Conceptualization, measurement and theorization of green innovation in hospitality and tourism: looking back to move forward DOI
Mert Gürlek, İlker Kılıç

Service Industries Journal, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 59

Published: July 17, 2024

Green innovation (GI) has become a popular topic in the literature as it contributes to environmental sustainability and competitive advantage. However, no consensus been reached on its conceptualization, measurement theorization among researchers field. Therefore, main purpose of this research is develop seminal perspectives GI field hospitality tourism (H&T). In way, attempts theorize green for H&T This provides measurement-related suggestions theoretical considering shortcomings. short, offers new opportunities, directions future contribute progress solid foundations.

Language: Английский

Citations

3

The automated sustainability auditor: Does artificial intelligence curtail greenwashing behavior in Chinese firms? DOI
Muhammad Kaleem Khan, Chunhui Huo, R. M. Ammar Zahid

et al.

Business Strategy and the Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 14, 2024

Abstract Corporate stakeholders are intrigued by the potential collaboration between AI and environmental reporting to maintain competitiveness in digital sustainable economy. This exploration is crucial given persistent pressures driving companies engage greenwashing practices for legitimacy. Aiming shed light on function of reducing prevalence Chinese businesses, findings, derived from panel data estimation A‐share firms, suggest that implementation has a positive impact fight against greenwashing. The investigation presents compelling evidence mechanism control can be accelerated technologies. Organizations invest strategically artificial intelligence exhibit diminished propensity obfuscate performance means AI‐enabled automation enhanced data‐driven decision‐making. Intriguingly, study demonstrates substantial disparate depends ownership structure. In comparison non‐SOEs, state‐owned enterprises (SOEs) demonstrate over Significantly, research utilizes variety validation methods, such as instrumental variable approach, score matching, two‐stage least squares, ensure validity primary findings.

Language: Английский

Citations

3

Employees’ foe or friend: artificial intelligence and employee outcomes DOI

Muhammad Abubakar Tahir,

Gaofeng Da, Muzhar Javed

et al.

Service Industries Journal, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 32

Published: July 18, 2024

Language: Английский

Citations

2