THE POWER OF AIRPORT BRANDING IN SHAPING TOURIST DESTINATION IMAGE: PASSENGER COMMITMENT PERSPECTIVE DOI Creative Commons

Al-Amin Abdel-Hameed ABOUSEADA,

Thowayeb H. Hassan,

Mahmoud I. SALEH

и другие.

GeoJournal of Tourism and Geosites, Год журнала: 2023, Номер 47(2), С. 440 - 449

Опубликована: Май 23, 2023

To providing an empirical investigation into how affective, continuance, and normative commitment could build airport branding. A quantitative content analysis was conducted by analyzing 400 passengers' reviews of Cairo International Airport from the following platforms (Skytrax, Tripadvisor, traveller, flight report). Affective continuance are likely to a strong brand rather than commitment. Passengers’ negative experiences with airports make them feel less emotionally attached, resulting in lower levels affective commitments. Terminal problems can decrease among passengers. The study identified factors that affect all three types commitments (affective, normative) at international airports, significant theoretical contributions managerial implications.

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

69

Why do healthcare workers adopt digital health technologies - A cross-sectional study integrating the TAM and UTAUT model in a developing economy DOI Creative Commons
Onome Christopher Edo, David Ang, Egbe-Etu Etu

и другие.

International Journal of Information Management Data Insights, Год журнала: 2023, Номер 3(2), С. 100186 - 100186

Опубликована: Июнь 25, 2023

Healthcare technology is a critical factor for effective management of patient care, resulting in enhanced effectiveness when adopted by healthcare professionals. However, the lack acceptance can undermine its inherent benefits. This study aims to investigate factors that influence adoption among professionals, using Nigeria as case study. The dataset was collected from sample 301 private and public data were analyzed structural equation modeling (SEM) results supported five proposed hypotheses, namely, perceived usefulness, physical condition, technological anxiety, user innovativeness, availability which had significant on Behavioral intention. Technological anxiety showed negative BI. sheds light relevant adoption. Psychological reengineering human relation support reward system are required further motivate workers.

Язык: Английский

Процитировано

46

Consumer engagement in chatbots and voicebots. A multiple-experiment approach in online retailing context DOI
Kumar Rohit, Amit Shankar, Gagan Katiyar

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 78, С. 103728 - 103728

Опубликована: Янв. 26, 2024

Язык: Английский

Процитировано

26

A comparative study on the effect of ChatGPT recommendation and AI recommender systems on the formation of a consideration set DOI
Woondeog Chang, Jungkun Park

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 78, С. 103743 - 103743

Опубликована: Фев. 20, 2024

Язык: Английский

Процитировано

26

Institutional trust and repurchase intention in the sharing economy: The moderating roles of information privacy concerns and security concerns DOI
Baozhou Lu, Xiaoyang Yi

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 73, С. 103327 - 103327

Опубликована: Март 20, 2023

Язык: Английский

Процитировано

37

Exploring antecedents impacting user satisfaction with voice assistant app: A text mining-based analysis on Alexa services DOI
Anand Kumar, Pradip Kumar Bala, Shibashish Chakraborty

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 76, С. 103586 - 103586

Опубликована: Окт. 27, 2023

Язык: Английский

Процитировано

33

Examining the context‐specific reasons and adoption of artificial intelligence‐based voice assistants: A behavioural reasoning theory approach DOI
Shaista Anayat, Gowhar Rasool, Anjali Pathania

и другие.

International Journal of Consumer Studies, Год журнала: 2023, Номер 47(5), С. 1885 - 1910

Опубликована: Июнь 8, 2023

Abstract AI‐based voice assistants are some of the most popular consumer products artificial intelligence technology. This study investigates influence reasoning process on overall attitudes and adoption intentions towards assistants. Behavioural theory was applied to hypothesize relationships between values, context‐specific reasons, attitudes, intention. Partial least squares structural equation modelling used test research model hypotheses using data from 550 potential consumers in India. suggests a positive consumers' ‘reasons for’ their attitude assistants, as well favourable impact values for’. discovered that against’ not only opposites but entirely autonomous have an independent improved our understanding product by identifying paramount role shaping

Язык: Английский

Процитировано

30

The formation of habit and word-of-mouth intention of over-the-top platforms DOI
Anup Anurag Soren, Shibashish Chakraborty

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 75, С. 103460 - 103460

Опубликована: Июнь 17, 2023

Язык: Английский

Процитировано

27

Factors affecting user trust and intention in adopting chatbots: the moderating role of technology anxiety in insurtech DOI Open Access
Massilva Dekkal, Manon Arcand, Sandrine Prom Tep

и другие.

Journal of Financial Services Marketing, Год журнала: 2023, Номер 29(3), С. 699 - 728

Опубликована: Апрель 25, 2023

Язык: Английский

Процитировано

26

Assessing the Determinants of Metaverse Adoption for E-Commerce Retailing DOI Creative Commons
Rajasshrie Pillai, Brijesh Sivathanu, Nripendra P. Rana

и другие.

Journal of Computer Information Systems, Год журнала: 2024, Номер unknown, С. 1 - 20

Опубликована: Окт. 22, 2024

The advent of metaverse technology has impacted the retail sector, shaping e-commerce platforms into a new form metaverse-based online shopping environments. experience is to shoppers, making it crucial comprehend consumer reactions this in context retail. This study explores intention and potential use for using UTAUT2 model context-specific antecedents. Using structured questionnaire, data from 1340 consumers were collected analyzed through PLS-SEM. findings indicated that factors such as performance expectancy, effort social influence, hedonic motivation, facilitating conditions influence metaverse. metaverse-related antecedents, namely, sense immersion imagination, have positive whereas technological anxiety perceived security privacy concerns negative impact on It was also found influences stickiness traditional negatively moderates relationship. unique research buying behavior provides marketers, managers, designers, developers with antecedents insights. Consumer policymakers can draw insights study.

Язык: Английский

Процитировано

11