Relationship between perceived threat of artificial intelligence and turnover intention in luxury hotels DOI Creative Commons
Yanan Li

Heliyon, Journal Year: 2023, Volume and Issue: 9(8), P. e18520 - e18520

Published: July 23, 2023

When artificial intelligence technology erodes employees' professional knowledge, they tend to feel highly anxious, and turnover intention is created. This study aimed test the impact of perceived threat on through organizational support value intelligence. The method procedure were as follow: construct a theoretical framework propose hypotheses - collect questionnaires voluntary sampling use two-step approach model. has some findings. Theoretically, this proposes conceptual model perception. combination avoidance, support, theories applies research background study. Methodologically, relationship between intelligence, variables was studied together for first time, new significant mediator discovered. Managementarily, when facing threats employees, hotel managers should emphasize especially in finance, career, adjustment. important implications luxury management. First, perceptions are dual. Second, consider be key variable.

Language: Английский

AI-Based Chatbots Adoption Model for Higher-Education Institutions: A Hybrid PLS-SEM-Neural Network Modelling Approach DOI Open Access

Noor Irliana Mohd Rahim,

Noorminshah A. Iahad,

Ahmad Fadhil Yusof

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(19), P. 12726 - 12726

Published: Oct. 6, 2022

Chatbot implementation for assisting customers as a virtual agent can be seen tool in helping an organisation to serve better customer service. Malaysia is among the countries forging ahead with Fourth Industrial Revolution. One of core technologies mentioned adopting artificial intelligence tools such chatbots. In last few years, there has been growing interest AI-based chatbot adoption non-HEI context. However, most higher-education institutions (HEIs) are reported not ready adopt chatbots one solutions student services support. The research HEI context still new and less explored examined topic information systems domain. Moreover, existing regarding focuses more on benefit usage specialised solution perspective. Furthermore, studies were guided by (IS) theories. Therefore, this study aims identify factors that influence effectiveness adapting UTAUT2 model IS theory reference. A survey method was applied using purposive sampling technique. For 3 months, data collected online from 302 users Malaysia’s postgraduate students various public private universities. two-stage analytical procedure (SEM-ANN) used validate assess presented hypotheses. This reveals perceived trust influenced interactivity, design, ethics. Meanwhile, behavioural intention trust, performance expectancy, habit towards use applications Lastly, findings helpful unit guide productivity marketing strategy serving better.

Language: Английский

Citations

144
Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach DOI
Sajjad Nazir, Sahar Khadim, Muhammad Asadullah

et al.

Technology in Society, Journal Year: 2022, Volume and Issue: 72, P. 102190 - 102190

Published: Dec. 28, 2022

Language: Английский

Citations

107
Artificial intelligence in marketing: A meta‐analytic review DOI
Pooja Mehta, Charles Jebarajakirthy, Haroon Iqbal Maseeh

et al.

Psychology and Marketing, Journal Year: 2022, Volume and Issue: 39(11), P. 2013 - 2038

Published: Aug. 8, 2022

Abstract This study synthesizes the artificial intelligence literature into a Meta‐analytic framework based on theory of reasoned action and unified acceptance use technology 2, examines concrete relationships between constructs this framework. meta‐review also performed moderation analysis to investigate possible reasons for inconsistent findings across studies. The suggest that three methodological moderators (sample type, gender dominance, publication type), one contextual moderator (level country's advancement) lead inconsistencies in constructs. Academically, review resolves adds both 2. Practically, meta‐analysis offers multiple implications businesses interested enhancing customer adoption intelligence. Especially, companies can increase customers' by making it more user‐friendly, advantageous adding pleasing features it.

Language: Английский

Citations

75
Artificial intelligence is the magic wand making customer-centric a reality! An investigation into the relationship between consumer purchase intention and consumer engagement through affective attachment DOI Creative Commons
Muhammad Bilal, Yunfeng Zhang, Shukai Cai

et al.

Journal of Retailing and Consumer Services, Journal Year: 2023, Volume and Issue: 77, P. 103674 - 103674

Published: Dec. 15, 2023

Artificial intelligence (AI) is revolutionizing consumer–provider interactions by changing the nature of online purchases. This study uses social support theory to investigate consumer purchase intentions combining AI technology, media engagement, and experience. Online surveys are conducted with 467 Chinese users who had experience purchasing technology. Partial Least Squares Structural Equation Modelling (PLS-SEM) used examine data proposed hypothesis. finds that positively affects engagement on media. Similarly, a positive relationship exists between experience, leading more satisfied amplified intentions. Additionally, affective attachment moderates satisfaction intention. The results reveal can be improve increase customer levels We also provide tips for developing flawless service business models. Marketers should explore making posts engaging using vibrant images videos attract customers prompt them create, circulate, share said content various networks.

Language: Английский

Citations

51
Artificial Intelligence in Digital Marketing: Insights from a Comprehensive Review DOI Creative Commons
Christos Ziakis, Maro Vlachopoulou

Information, Journal Year: 2023, Volume and Issue: 14(12), P. 664 - 664

Published: Dec. 17, 2023

Artificial intelligence (AI) has rapidly emerged as a transformative force in multiple sectors, with digital marketing being prominent beneficiary. As AI technologies continue to advance, their potential reshape the landscape becomes ever more apparent, leading profound implications for businesses and outreach strategies. This research seeks answer pivotal question: “How could applications be leveraged optimize strategies”? Drawing from systematic literature review guided by PRISMA (Preferred Reporting Items Systematic Reviews Meta-Analyses) framework, this study identified 211 pertinent articles. Through comprehensive bibliometric analysis, findings were categorized into distinct clusters, namely: AI/ML (Machine Learning) Algorithms, Social Media, Consumer Behavior, E-Commerce, Digital Advertising, Budget Optimization, Competitive Strategies. Each cluster offers insights how can harnessed augment efforts. The conclusion synthesizes key suggests avenues future exploration dynamic intersection of marketing. contributes field providing analysis marketing, identifying trends, challenges, directions. Our approach valuable researchers alike, enhancing understanding AI’s evolving role

Language: Английский

Citations

47
Economics students’ behavioural intention and usage of ChatGPT in higher education: a hybrid structural equation modelling-artificial neural network approach DOI Creative Commons
Iddrisu Salifu, Francis Arthur, Valentina Arkorful

et al.

Cogent Social Sciences, Journal Year: 2024, Volume and Issue: 10(1)

Published: Jan. 16, 2024

The Chat Generative Pre-Trained Transformer, popularly referred to as ChatGPT, is an AI-based technology with the potential revolutionise conventional teaching and learning in higher education institutions (HEIs). However, it remains unclear which factors influence behavioural intentions actual usage of ChatGPT among economics students Ghanaian HEIs. In pursuit this goal, we employed extended Unified Theory Acceptance Use Technology (UTAUT2) gain a better understanding antecedents influencing students. study surveyed 306 enrolled at public university. These were aware existence applications. We applied hybrid analytical approach, combining structural equation modelling artificial neural network (SEM-ANN), elucidate causal relationships between variables believed impact perceived trust, intentions, usage. results showed that design interactivity have significant on trust. Similarly, social influence, performance expectancy, hedonic motivation, habits drive intentions. Among various motivation emerged most dominant. Moreover, facilitating conditions significantly students' use ChatGPT. Nevertheless, ethics not factor effort expectancy does affect behavioral intention. findings, however, offer theoretical practical contributions can serve guide for thoughtful responsible integration tools future strategy enhance accessibility inclusivity opportunities

Language: Английский

Citations

27
Marketing Applications of Emerging Technologies DOI
Mourad Aarabe,

Nouhaila Ben Khizzou,

Lhoussaine Alla

et al.

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 23 - 47

Published: June 28, 2024

In today's global environment, integrating emerging technologies has become a necessity. This book explores the intersection of technology and marketing, providing an overview technological advancements their impact on marketing practices. chapter proposes systematic literature review following PRISMA protocol to explore breadth scope applicability solutions in marketing. The aim is highlight key opportunities challenges for applications such technologies. analysis, conducted using Nvivo V12 software, indicates that as artificial intelligence, augmented reality, internet things, blockchain, data analytics are increasingly important practices strategies. These primarily used understand satisfy individual customer needs improve experience.

Language: Английский

Citations

24
Does AI explainability affect physicians’ intention to use AI? DOI

Chung-Feng Liu,

Zhih‐Cherng Chen,

Szu-Chen Kuo

et al.

International Journal of Medical Informatics, Journal Year: 2022, Volume and Issue: 168, P. 104884 - 104884

Published: Oct. 8, 2022

Language: Английский

Citations

50
Purchase Intention and Satisfaction of Online Shop Users in Developing Countries during the COVID-19 Pandemic DOI Open Access
Elizabeth Emperatriz García-Salirrosas, Ángel Acevedo-Duque,

Viviana Marin Chaves

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(10), P. 6302 - 6302

Published: May 22, 2022

The aim of the research is to gain an understanding consumer behavior in developing countries electronic environment. For this purpose, four constructs PREVEINCOSA scale were analyzed: purchase intention as dependent variable and trust, perceived value, satisfaction determining variables former. by means convenience sampling, online questionnaire was shared with citizens Mexico, Peru, Colombia. A total 330 questionnaires collected from people who knew or had bought clothes shop small company. Structural equation modeling (SEM) used validate model test hypotheses. results indicate that trust directly positively influence value perception influences business These may be useful for fashion sector since it observed sales channel not yet developed, which makes necessary develop strategies reach customers a more effective way. On other hand, given importance economy countries, study can governments establish public policies provide training technical assistance benefit development competitiveness sector.

Language: Английский

Citations

47
Investigating the impact of artificial intelligence on consumer’s purchase intention in e-retailing DOI

Rohit Bhagat,

V. S. Chauhan,

P. Bhagat

et al.

foresight, Journal Year: 2022, Volume and Issue: 25(2), P. 249 - 263

Published: Sept. 12, 2022

Purpose Technology has been witnessing a rapid growth. The advent of artificial intelligence further enhanced the satisfaction level consumers, which makes it even more vital in current scenario. This paper aims to explore factors affecting practical implacability and its impact on consumers’ online purchase intention. Design/methodology/approach used technology-based model as base different intention towards e-retailing. study formulated that demonstrates integration retailing by business organizations so understand needs customers help them accept technology. explored faith, subjective norms consciousness constructs enhance intelligence. Findings shows positively influences buying behaviour. through also enhances Research limitations/implications focusing portion target population. So there is scope include whole set population get closer-to-accurate results. Practical implications offers useful inputs for academicians well marketers predicting behaviour consumers. Marketing managers can use intelligence–embedded technology Social an increase e-retailing made consumers keenly analyse products basis merit usefulness products. Originality/value contribution with best knowledge formulating integrated

Language: Английский

Citations

45