Unveiling the Puzzle of Social Media Adoption Among Small Grocery Retailers DOI Open Access
Vardhan Choubey, Debarun Chakraborty, Subhajit Pahari

и другие.

Journal of Global Information Management, Год журнала: 2024, Номер 32(1), С. 1 - 34

Опубликована: Авг. 29, 2024

This research is aimed to understand the intentions of small grocery retailers in adopting social media for marketing purposes. The used an integrated TAM-TOE framework combined with SOR understanding factors influencing intention adopt media. Mixed methods were study. Initially, in-depth interviews conducted 55 develop a grounded model, which was verified through survey 874 retailers. Findings suggest that perceived usefulness and ease use positively related relative advantage, interaction, organizational competency complexity, bandwagon effect, competitive pressure. Retailer age retail outlet also had moderation effects. Small who advantage are more likely it, influenced by effect. Intense competition pushing avoid losing customers missing out on potential opportunities.

Язык: Английский

What drives tourists’ continuance intention to use ChatGPT for travel services? A stimulus-organism-response perspective DOI

Hong Chuong Pham,

Cong Doanh Duong,

Giang Khanh Huyen Nguyen

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 78, С. 103758 - 103758

Опубликована: Фев. 9, 2024

Язык: Английский

Процитировано

57

Metaverse mingle: Discovering dating intentions in metaverse DOI
Debarun Chakraborty, Smruti Patre, Devisha Arunadevi Tiwari

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 75, С. 103509 - 103509

Опубликована: Июль 27, 2023

Язык: Английский

Процитировано

42

Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework DOI
Rameshwar Dubey, Angappa Gunasekaran, Θάνος Παπαδόπουλος

и другие.

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 189, С. 103689 - 103689

Опубликована: Июль 25, 2024

Язык: Английский

Процитировано

12

Determinants of behavioral intentions to use an E-Pharmacy service: Insights from TAM theory and the moderating influence of technological literacy DOI
Brendan Chukwuemeka Ezeudoka, Mingyue Fan

Research in Social and Administrative Pharmacy, Год журнала: 2024, Номер 20(7), С. 605 - 617

Опубликована: Март 22, 2024

Язык: Английский

Процитировано

11

Exploring the adoption patterns of matrimonial apps: An analysis of user gratifications DOI

G Sowmya,

Debarun Chakraborty, Aruna Polisetty

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 78, С. 103731 - 103731

Опубликована: Янв. 25, 2024

Язык: Английский

Процитировано

9

Exploring higher education students’ continuance usage intention of ChatGPT: amalgamation of the information system success model and the stimulus-organism-response paradigm DOI
Cong Doanh Duong, Thanh Hieu Nguyen, Thi Viet Nga Ngo

и другие.

International Journal of Information and Learning Technology, Год журнала: 2024, Номер unknown

Опубликована: Июнь 30, 2024

Purpose The advent of artificial intelligence technologies, exemplified by platforms such as ChatGPT, has created a profound global impact, with particular resonance in education. This research aims to integrate the information systems success (ISS) model stimulus-organism-response (SOR) paradigm explore how quality and service individually, jointly, congruently, incongruently affect higher education students’ trust satisfaction, continuance usage intention. Design/methodology/approach We employed sophisticated methodology - polynomial regression response surface analysis conducted our study sample 468 students selected Vietnam using three-phase stratified random sampling approach evaluate hypotheses developed. Findings findings indicate that both influence directly positively Moreover, balance between can increase level intention continue it. Nevertheless, significant incongruity will likely reduce service. Originality/value is one first offer shred empirical evidence about interact congruently each other trigger ChatGPT. It thus offers valuable insights for leveraging benefits mitigating potential challenges associated adopting this innovative technology educational settings.

Язык: Английский

Процитировано

6

Modeling the determinants of HEI students’ continuance intention to use ChatGPT for learning: a stimulus–organism–response approach DOI Creative Commons
Cong Doanh Duong

Journal of Research in Innovative Teaching & Learning, Год журнала: 2024, Номер 17(2), С. 391 - 407

Опубликована: Май 23, 2024

Purpose Although previous research has acknowledged the significance of comprehending initial acceptance and adoption ChatGPT in educational contexts, there been relatively little focus on user’s intention to continue using or its continued usage. Therefore, current study aims investigate students’ continuance intentions use for learning by adopting stimulus–organism–response (SOR) model. Design/methodology/approach This employed SOR model how UTAUT factors (such as performance expectancy, facilitating conditions, effort expectancy social influence) influence cognitive responses students (e.g. trust attitude towards ChatGPT), subsequently shaping their behavioral outcomes study). A sample 392 higher Vietnam PLS-SEM method was learning. Findings reveals that directly affected toward ChatGPT. Meanwhile, built influence, conditions developed from influence. Originality/value By extending analysis beyond acceptance, this provides valuable insights into sustained utilization an environment.

Язык: Английский

Процитировано

4

AI-Supported Healthcare Technology Resistance and Behavioral Intention: A Serial Mediation Empirical Study on the JD-R Model and Employee Engagement DOI Creative Commons
Li-Min Chuang,

Shuling Huang

Systems, Год журнала: 2025, Номер 13(4), С. 268 - 268

Опубликована: Апрель 8, 2025

This study combines innovation resistance theory, the stimulus–organism–response (SOR) framework, and job demands–resources model to facilitate an in-depth exploration of barriers faced by healthcare professionals psychological responses they exhibit when adopting AI-supported technologies. We conducted a questionnaire survey obtained 296 valid from examine relationship between technologies AI adoption behavioral intentions. Using SOR framework as basis, this validated serial mediation with moderating effects, demonstrating that influenced intentions through resource, demand, levels employee engagement. Further, sought validate age-moderated resource demand in employees exhibiting their associated The results indicated resources, demands, engagement serially mediated Additionally, age only exhibited significant effects on demands findings can aid promoting professionals, generating new insights broadening scope vision existing literature.

Язык: Английский

Процитировано

0

Understanding the Motivations for Continuance Usage of Mobile Apps DOI
Rodrigo Feitosa de Oliveira Correia, Carlos Tam

Journal of Computer Information Systems, Год журнала: 2024, Номер unknown, С. 1 - 15

Опубликована: Янв. 19, 2024

The evolution of mobile technology has contributed to the growth seen in applications (m-apps) usage. Since businesses have accelerated their development platforms for services, number m-apps that are available users increased. This poses a challenge companies, as they seek retain long-term user base also need be aligned with consumers' beliefs and wants, promote use own m-apps. research investigates motivations behind users' intention continuously We employ expectation-confirmation model (ECM) incorporate perspective lifestyle compatibility. A total 175 responses questionnaires were obtained from an online survey empirically validate proposed model, using partial least squares (PLS) method. findings demonstrate compatibility is strong predictor continuance

Язык: Английский

Процитировано

3

Consumer Behaviour on AI Applications for Services: Measuring the Impact of Value-Based Adoption Model on Luxurious AI Resorts’ Applications DOI Creative Commons
Dimitra Skandali, Anastasios Magoutas, Georgios Tsourvakas

и другие.

Review of Marketing Science, Год журнала: 2024, Номер 22(1), С. 57 - 85

Опубликована: Май 7, 2024

Abstract Focussing on consumer behaviour analysis derived from the changes in Information and Communications Technology (ICT), purpose of this study is to analyse primary content factors that influence consumers’ attitudes behavioural intentions hospitality industry. The present first investigate how benefits (happiness perceived immersion) sacrifices (trust habits) can predict acceptance willingness pay for artificially intelligent (AI) luxurious resort applications (apps). researchers employed structural equation modelling relationship between technology adoption specific customers’ value research aims expand theory Value Adoption Model (VAM). Based findings, AI-powered apps high-end resorts have a tendency boost tourists’ confidence use these apps, as well increase their value. Happiness has an impact intentions, while immersion habits outcomes related ultimately accept purchase them. findings benefit both ICT Managers industry should collaborate with service management who are exploring challenges adoption. Managerial implications recommendations future extensively provided.

Язык: Английский

Процитировано

2