Investigating the Acceptance Factors of Marketing Systems Based on Artificial Intelligence in Small Industrial Companies DOI Creative Commons

Mehran Akhondi,

Hossein Bodaghi Khajeh Noubar,

Hakimeh Niky Esfahlan

и другие.

Human Behavior and Emerging Technologies, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

The adoption of artificial intelligence (AI) based marketing systems by companies is increasing. These can help improve their performance, increase market share, and reduce costs. Few researchers, in this regard, have sought to investigate the causes nonacceptance on AI. This article uses qualitative research method identify effective factors current study practical aim essence, utilizing an exploratory methodology. statistical population includes 238 studies including articles acceptance AI between 2019 2024. data collection tool was selected form a systematic review library literature previous researches, meta‐synthesis Sandelowski Barroso. sampling also entry exit criteria PRISMA (preferred reporting items for reviews meta‐analyses) method. framework evaluating enhancing quality scientific through meta‐synthesis. findings show that four functional expectations, usage organizational factors, user intent significant effect these systems. Companies promote culture learning embracing innovation are more likely adopt AI‐based organization.

Язык: Английский

Customer experience in digital transformation: the influence of intelligent chatbots toward a sustainable market DOI
Sofia Gomes, Jo�ão M. Lopes, Tiago Trancoso

и другие.

International Journal of Innovation Science, Год журнала: 2025, Номер unknown

Опубликована: Янв. 8, 2025

Purpose Using artificial intelligence technologies in customer service through chatbots is revolutionizing companies’ commercial practices and business models. This study explores the role of experience drivers using chatbot services engagement behavior intention. The mediating relationship between intention was also explored. Design/methodology/approach For this purpose, a sample 1,319 Portuguese consumers their online purchases collected. A quantitative methodology applied with partial least squares method. Findings results reveal that directly positively influence but not However, there positive on when mediated by engagement. Originality/value contributes to developing social exchange resource theories experience. In addition, it allows companies infer practical implications for obtaining sustainable competitive advantages implementing technology.

Язык: Английский

Процитировано

0

Avatars' Phygital Social Presence in the Metaverse: An Engaged Theory Perspective DOI Creative Commons
David E. Sprott, Linda D. Hollebeek, Valdimar Sigurðsson

и другие.

Psychology and Marketing, Год журнала: 2025, Номер unknown

Опубликована: Фев. 9, 2025

ABSTRACT While prior authors have explored the notions of human and/or automated social presence, these concepts been predominantly assessed either individually or as mutually exclusive theoretical entities. However, we draw on engaged theory to develop hybrid concept phygital presence that comprises aspects both and metaverse avatars. We define degree which a avatar instils feeling in other users they are company entity, elicited by avatar's (a) (i.e., actions taken its user, line with theory's “ways acting”), (b) embodiment appearance, look, design, character emit, being”). next propose conceptual framework set propositions, suggest avatars' primarily impacts users' positive negative behavioral engagement metaverse, chiefly influences cognitive emotional engagement. Moreover, an ways relating , also informed theory, impact

Язык: Английский

Процитировано

0

Revolutionizing food ordering: predicting the dynamics of chatbot adoption in a tech-driven era DOI Creative Commons
Wajeeha Aslam, Marija Ham, Farhan Mirza

и другие.

Journal of Foodservice Business Research, Год журнала: 2025, Номер unknown, С. 1 - 25

Опубликована: Фев. 26, 2025

Язык: Английский

Процитировано

0

Cognitive vs. emotional empathy: exploring their impact on user outcomes in health-assistant chatbots DOI
Tingting Jiang, Chuanhe Huang, Yanrun Xu

и другие.

Behaviour and Information Technology, Год журнала: 2025, Номер unknown, С. 1 - 16

Опубликована: Март 6, 2025

Язык: Английский

Процитировано

0

Investigating the Acceptance Factors of Marketing Systems Based on Artificial Intelligence in Small Industrial Companies DOI Creative Commons

Mehran Akhondi,

Hossein Bodaghi Khajeh Noubar,

Hakimeh Niky Esfahlan

и другие.

Human Behavior and Emerging Technologies, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

The adoption of artificial intelligence (AI) based marketing systems by companies is increasing. These can help improve their performance, increase market share, and reduce costs. Few researchers, in this regard, have sought to investigate the causes nonacceptance on AI. This article uses qualitative research method identify effective factors current study practical aim essence, utilizing an exploratory methodology. statistical population includes 238 studies including articles acceptance AI between 2019 2024. data collection tool was selected form a systematic review library literature previous researches, meta‐synthesis Sandelowski Barroso. sampling also entry exit criteria PRISMA (preferred reporting items for reviews meta‐analyses) method. framework evaluating enhancing quality scientific through meta‐synthesis. findings show that four functional expectations, usage organizational factors, user intent significant effect these systems. Companies promote culture learning embracing innovation are more likely adopt AI‐based organization.

Язык: Английский

Процитировано

0