The precursors of AI adoption in business: Towards an efficient decision-making and functional performance

International Journal of Information Management, Journal Year: 2023, Volume and Issue: 75, P. 102745 - 102745

Published: Dec. 27, 2023

Language: Английский

---

The role of incentive policies and personal innovativeness in consumers' carbon footprint tracking apps adoption in China

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 79, P. 103861 - 103861

Published: April 15, 2024

Language: Английский

---

A Structural equation modeling analysis of generative AI chatbots adoption among students and educators in higher education

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 7, P. 100274 - 100274

Published: Aug. 3, 2024

In an era where artificial intelligence (AI) is reshaping educational paradigms, this study explores AI-based chatbot adoption in higher education among students and educators. Employing a Structural Equation Modeling (SEM) approach, the research focuses on developing validating comprehensive model to understand multifaceted factors impacting acceptance use of these chatbots. The methodology integrates extensive literature review, construction theoretical model, administration detailed questionnaire representative sample from sector, coupled with advanced SEM techniques for data analysis interpretation. validates model's robustness highlights relationships between several key affecting users' perspectives chatbots adoption. Results reveal predominantly positive perception towards AI-chatbots both educators, underscoring potential substantially enrich their journey. However, it also uncovers critical concerns pertaining trust, privacy, response bias, information accuracy. Moreover, offers valuable insights into how moderators such as technological proficiency, user roles, gender influence relationships. This emphasizes need customizing deployment meet diverse needs users effectively. Contributing robust framework understanding perceptions patterns, actionable leaders, policymakers, technology developers. It lays groundwork future research, including longitudinal studies evaluate long-term impact technologies, investigations effect learning outcomes, explorations ethical privacy considerations involved.

Language: Английский

---

Driving change: Understanding consumers’ reasons influencing electric vehicle adoption from the lens of behavioural reasoning theory

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 369, P. 122277 - 122277

Published: Sept. 1, 2024

Language: Английский

---

Between artificial intelligence and customer experience: a literature review on the intersection

Discover Artificial Intelligence, Journal Year: 2024, Volume and Issue: 4(1)

Published: Jan. 9, 2024

Abstract This paper is a literature review of the intersection field between Artificial Intelligence (AI) and Customer Experience (CX). We analyzed synthesized most recent prominent on subject, providing an overview state art, through articles found in Scopus database. Among main findings, it noteworthy that this appears as interdisciplinary topic interest fields Computer Science, Business Management, Engineering. Additionally, studies often examine conversational agents such chatbots voicebots, well machine learning prediction models recommendation systems way to improve Experience. The common sectors are tourism, banking e-commerce. Other segments technologies appear less may be underrepresented, thus scope for future research agenda. Despite existing literature, observed there still substantial space expansion exploration, especially considering emergence new generative models.

Language: Английский

---

Understand resist use online customer service chatbot: an integrated innovation resist theory and negative emotion perspective

Aslib Journal of Information Management, Journal Year: 2024, Volume and Issue: unknown

Published: May 16, 2024

Purpose The rise of artificial intelligence (AI) applications has driven enterprises to provide many intelligent services consumers. For instance, customers can use chatbots make relevant inquiries and seek solutions their problems. Despite the development customer service years ago, they require significant improvements for market recognition. Many have reported negative experiences with chatbots, contributing resistance toward use. Therefore, this study adopts innovation theory (IRT) perspective understand customers’ using chatbots. It aims integrate emotions into a predictive behavior model examine users’ functional psychological barriers. Design/methodology/approach In study, we collected data from 419 valid individuals used structural equation modeling analyze relationships between factors emotions. Findings results confirmed that barrier affect amplify chatbot influence. We discovered value risk barriers directly influence consumer Moreover, both positively impact Originality/value This integrates construct explores help in developing online e-commerce.

Language: Английский

---

Pay with a smile? Modelling the continuance use intention of facial recognition payment

Internet Research, Journal Year: 2024, Volume and Issue: unknown

Published: May 30, 2024

Purpose This study synthesises the self-determination theory (SDT), expectation-confirmation model (ECM), and protection motivation (PMT) to formulate an integrated theoretical framework that elucidates process of shaping intention continue using facial recognition payment (FRP) under conditional impact perceived technology security. Design/methodology/approach Data from 667 Beijing Winter Olympics visitors with FRP experience were collected through online survey analysed variance based-structural equation modelling (VB-SEM). Findings reveals evolves three key stages. Initially, in expectation stage, multidimensional concept artificial autonomy (sensing, thought, action), which is underpinned by self-determination, pivotal, strongly influencing perceptions service enhancement fostering trust FRP. Subsequently, confirmation stage underscores importance as vital drivers maintaining usage, while also contributing subjective well-being. Crucially, security emerges a moderating factor, enhancing positive intentions towards FRP, thus its sustained adoption. Originality/value stands out revealing nuanced interplay between user perceptions, particularly concerning enhancement, security, trust, they influence well-being continued adoption Robustly grounded SDT, ECM, PMT, study’s findings are critical for comprehending core elements specific promote use, especially we consider potential widespread implementation. Therefore, this not only advances understanding but offers practical guidance optimising deployment strategies rapidly evolving technological landscape.

Language: Английский

---

AI Meets the Shopper: Psychosocial Factors in Ease of Use and Their Effect on E-Commerce Purchase Intention

Behavioral Sciences, Journal Year: 2024, Volume and Issue: 14(7), P. 616 - 616

Published: July 20, 2024

The evolution of e-retail and the contribution artificial intelligence in improving algorithms for greater customer engagement highlight potential these technologies to develop e-commerce further, making it more accessible personalized meet individual needs. This study aims explore psychosocial factors (subjective norms; faith; consciousness; perceived control) that affect AI-enabled ease use their impact on purchase intention online retail. We will also assess mediating effect between consumer intention. A quantitative methodology was used, 1438 responses were collected from Portuguese consumers e-retail. Structural equation modeling used statistical treatment. findings indicate subjective norms do not positively use, whereas such as faith, consciousness, control enhance it. Furthermore, itself boosts Additionally, effects norms, are significantly enhanced when mediated by highlighting crucial role usability shaping behavior. this has been made through formulation model provides a systematized perspective about influencers intentions extends knowledge offers insights into e-commerce—artificial directly affects plays an important mediator interaction mechanisms intentions.

Language: Английский

---

The Mediating Role of Parasocial Relationship in Customer Services Chatbots Among Millennials and Gen Z Population

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: Feb. 2, 2024

In the fast-evolving landscape of human–computer interaction (HCI), customer service chatbots have emerged as a new way for engaging with users. However, critical challenge lies in ensuring continued usage these chatbot's services. This study argues that by tapping into emotional dimension chatbot–user interactions, Parasocial Relationships (PSRs) can influence customers' continuance intention (CI) to use chatbot The findings from PLS-SEM shed light on significance Information Quality and System fostering PSRs. further identifies PSR significant mediator between Service Continuous use. research primarily examines Millennials Gen Z. Future studies may explore consumers different age groups. implications this are crucial advancing field chatbot–human interaction. Organizations benefit insights prioritizing personalized empathetic experiences nurture stronger PSRs promote user satisfaction, trust, continue using

Language: Английский

---

How Do Initial and Interactive Social Cues Increase Customers’ Continuance Usage Intention of Chatbots?

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: May 20, 2024

Enterprises widely utilize chatbots as "intelligent customer service" because of their efficiency and low cost. However, complaints doubts occur occasionally, improving users' willingness to continue use is a crucial issue that needs be solved urgently. This study investigates whether how initial social cues (avatar, name, greeting) interactive (emoji) can improve intention using. Our findings from three scenario experiments reveal both increase consumers' warmth perception, while only elevate competence perception. The greater the perceived by users, higher trust in chatbots, leading increased using them. Furthermore, we identified reinforcing effect when types are combined, further augmenting persist with chatbots. contributes chatbot-human interaction literature validating effectiveness these two offers practical insights for enhancing retention optimizing chatbot design.

Language: Английский

---