Consumer engagement in chatbots and voicebots. A multiple-experiment approach in online retailing context

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 78, P. 103728 - 103728

Published: Jan. 26, 2024

Language: Английский

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Artificial Intelligence Platforms Enabling Conversational Chatbots: The Case of Tiledesk.com

Applied innovation and technology management, Journal Year: 2025, Volume and Issue: unknown, P. 119 - 137

Published: Jan. 1, 2025

Language: Английский

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Smart product brands – The interrelation of smart products and buyer personality traits

Journal of Retailing and Consumer Services, Journal Year: 2025, Volume and Issue: 84, P. 104220 - 104220

Published: Jan. 6, 2025

Language: Английский

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Echoes of Innovation: Exploring the Use of Voice Assistants to Boost Hotel Reputation

Journal of theoretical and applied electronic commerce research, Journal Year: 2025, Volume and Issue: 20(1), P. 46 - 46

Published: March 10, 2025

Internet platforms and self-media have become vital online communities for promoting positive reputations hotels. Previous studies primarily focused on enhancing electronic word-of-mouth (eWOM) through improvements in hotel infrastructure staff services. As hotels deepen their digital transformation, the application of various artificial intelligence technologies service encounters significantly impacts experience. This study explores effects voice assistant (VA) attributes reputation Specifically, it examines how VAs (anytime connectivity, information association, interactivity) influence customer evaluations Utilizing a questionnaire survey method, we collected 529 valid questionnaires offline employed structural equation modeling along with PROCESS plugin SPSS to conduct path analysis, as well mediation moderation effect analyses. The results indicate that perceived value existence human–AI rapport mediate impact VA eWOM, although direct some (information association) was not supported. Furthermore, anytime connectivity enhances social presence, while privacy concerns negatively affect relationship between intentions engage eWOM. These insights are critical seeking maximize benefits transformation.

Language: Английский

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Effectiveness of Artificial Intelligence in Building Customer Loyalty: Investigating the Mediating Role of Chatbot in the Tourism Sector of Pakistan

International Journal of Academic Research in Business and Social Sciences, Journal Year: 2023, Volume and Issue: 13(9)

Published: Oct. 4, 2023

The advent of artificial intelligence (AI) is causing a change in the marketing landscape, and AI may replace human expertise with technology to improve service delivery organisations. This study investigates relationship between customer loyalty context advanced digital marketing, focusing on mediating function chatbots. To collect data, survey was distributed 104 customers different hotels eateries Pakistan. hypotheses were tested using confirmatory factor analysis, reliability validity mediation analysis. findings indicate that has positive effect loyalty. In addition, results demonstrate chatbots serve as mediator consumer suggests chatbots, AI-powered conventional agents, increase by providing personalised timely support, resolving concerns queries, delivering seamless user experience. These have significant repercussions for hospitality industry, particularly regarding how companies can use other technologies develop By incorporating into their strategies, businesses engagement, satisfaction, contributes existing corpus knowledge empirically examining meditation AI-customer within marketing. It valuable resource researchers practitioners who AI-driven foster

Language: Английский

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Not with the bot! The relevance of trust to explain the acceptance of chatbots by insurance customers

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Jan. 16, 2024

Abstract Industry 4.0 profoundly impacts the insurance sector, as evidenced by significant growth of insurtech. One these technologies is chatbots, which enable policyholders to seamlessly manage their active policies. This paper analyses policyholders’ attitude toward conversational bots in this context. To achieve objective, we employed a structured survey involving policyholders. The aimed determine average degree acceptance chatbots for contacting insurer take action such claim reporting. We also assessed role variables technology model, perceived usefulness, and ease use, well trust, explaining behavioral intention. have observed low insureds implement procedures with assistance chatbot. theoretical model proposed explain chatbot provides good adjustment prediction capability. Even though three factors are relevant interactions robots intention use them, variable trust exhibited greatest impact. findings fair potential practical implications. They outline special relevance customers’ since construct directly on but usefulness use. Likewise, improvements utility needed prevent reluctance services.

Language: Английский

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Transforming marketing landscapes: a systematic literature review of generative AI using the TCCM model framework

Management Review Quarterly, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

Language: Английский

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Tasks Over Traits: User Perception of Humanlike Features in Goal-Oriented Chatbots

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: March 10, 2025

Language: Английский

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AI NPCs in an Educational Metaverse: Evaluating the Effectiveness of Prompt Templates for Contextual Interactions

Lecture notes in educational technology, Journal Year: 2025, Volume and Issue: unknown, P. 53 - 74

Published: Jan. 1, 2025

Language: Английский

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The impact of digital voice of customer and product lifecycle management on Quality 4.0: moderating role of AI in SMEs

Journal of Manufacturing Technology Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 19, 2025

Purpose Advanced technologies such as artificial intelligence (AI) and Quality 4.0 (Q4.0) are crucial for the survival of today’s industrial enterprises. In this context, study reveals impact digital voice customer (DVoC) product lifecycle management (PLM) on Q4.0. Furthermore, explores moderating role AI in enhancing relationship between DVoC PLM Q4.0, which is an important gap literature specific to Asian countries based limited empirical evidence. Design/methodology/approach This focuses small medium-sized enterprises (SMEs) manufacturing sectors Asia (China, Pakistan India). Within scope study, data were obtained from 334 SMEs operating sector Asia. The analyzed using partial least squares structural equation modeling. Findings According results, direct Q4.0 confirmed. also revealed that enhanced Another finding improves Q4.0-related processes. Originality/value shows how moderates link DVoC, It identifies applications new possibilities industries adopt enhance techniques. These findings have implications marketers, practitioners, policymakers.

Language: Английский

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