Consumers buying behaviour towards agri-food products: A mixed-method approach DOI
Mujahid Siddiqui, Debarun Chakraborty, Aaliyah Siddiqui

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 73, С. 103349 - 103349

Опубликована: Апрель 6, 2023

Язык: Английский

Integrated concepts of the UTAUT and TPB in virtual reality behavioral intention DOI
Yung‐Chuan Huang

Journal of Retailing and Consumer Services, Год журнала: 2022, Номер 70, С. 103127 - 103127

Опубликована: Сен. 16, 2022

Язык: Английский

Процитировано

121

Antecedents of trustworthiness of social commerce platforms: A case of rural communities using multi group SEM & MCDM methods DOI
Sammar Abbas, Alhamzah Alnoor, Sin Yin Teh

и другие.

Electronic Commerce Research and Applications, Год журнала: 2023, Номер 62, С. 101322 - 101322

Опубликована: Окт. 10, 2023

Язык: Английский

Процитировано

69

Unravelling the techno-functional building blocks of metaverse ecosystems – A review and research agenda DOI Creative Commons
Arpan Kumar Kar,

P S Varsha

International Journal of Information Management Data Insights, Год журнала: 2023, Номер 3(2), С. 100176 - 100176

Опубликована: Апрель 17, 2023

The metaverse as a hyper-connected digital cosmos, holds great potential for reshaping the future of business and consumer interactions in world where different virtual realities blend into one another. is growing because more people are spending time doing spaces. Firms also investing heavily developing technologies metaverse. Digital like artificial intelligence, reality blockchain being utilised ecosystems to improve user experiences. This study undertakes literature review understand influence emerging shaping functional blocks environment by analysing 70 papers. Findings reported technology themes well themes. Currently research limited. Further this editorial presents strong agenda studies when focus on ecosystems.

Язык: Английский

Процитировано

58

Competitive advantage: A longitudinal analysis of the roles of data-driven innovation capabilities, marketing agility, and market turbulence DOI Creative Commons
Omar Alghamdi, Gomaa Agag

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 76, С. 103547 - 103547

Опубликована: Авг. 30, 2023

While data-driven innovation capabilities have received considerable attention from academics and practitioners, there is insufficient longitudinal evidence on how they might contribute to improved marketing agility competitive advantage. In this study, we make a preliminary effort address gap by developing model based the dynamic view. We also explore moderating effects of market turbulence link among used two-waves data (T = 677 T+1 569) cross-lagged panel approach was utilised analyse data. Our findings provide robust empirical causal predictive temporal impact driven It indicated that mediates relationship over time. Moreover, analysis suggested reinforce influence provided significant implications for theory practice.

Язык: Английский

Процитировано

55

The impact of blockchain technology on the online purchase behavior of green agricultural products DOI

Hua Liu,

Ruili Ma, Guangyao He

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 74, С. 103387 - 103387

Опубликована: Май 4, 2023

Язык: Английский

Процитировано

52

Understanding the relationship between marketing analytics, customer agility, and customer satisfaction: A longitudinal perspective. DOI Creative Commons
Gomaa Agag, Yasser Moustafa Shehawy, Ahmed Almoraish

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 77, С. 103663 - 103663

Опубликована: Дек. 8, 2023

Shifting towards a more data-driven culture is key antecedent of business success in today's digital era. Previous research has paid attention to exploring the influence marketing analytics on performance, and rarely examined how use influences customer agility satisfaction. According dynamic capabilities view using previous studies, we developed conceptual framework explore effect In Study 1, utilised cross-sectional data collected from 468 managers various industries. study 2, employed longitudinal three-wave utilising cross-lagged panel model. 1 indicated that acquisition tool are drivers adopting analytics. Marketing stronger when market turbulence high. They also revealed satisfaction such conditions stronger. 2 at time point T1 significant positive T2, while T2 T3. These findings indicate strong temporal effects between use, agility, The suggest researchers should look beyond direct shift their can be leveraged enable support

Язык: Английский

Процитировано

51

Adverse effect of social media on generation Z user's behavior: Government information support as a moderating variable DOI
Manu Sharma, Deepak Kaushal, S. K. Joshi

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 72, С. 103256 - 103256

Опубликована: Янв. 9, 2023

Язык: Английский

Процитировано

44

Product-specified dual-channel retail management with significant consumer service DOI

Kunomboua Anicet Cyrille Amankou,

Rekha Guchhait, Biswajit Sarkar

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 79, С. 103788 - 103788

Опубликована: Март 21, 2024

Язык: Английский

Процитировано

23

Building a sustainable future with enterprise metaverse in a data-driven era: A technology-organization-environment (TOE) perspective DOI
Aman Kumar, Amit Shankar

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 81, С. 103986 - 103986

Опубликована: Июль 31, 2024

Язык: Английский

Процитировано

23

Understanding factors affecting social commerce purchase behavior: A longitudinal perspective DOI
Sofiane Laradi, Mahmaod Alrawad, Abdalwali Lutfi

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 78, С. 103751 - 103751

Опубликована: Фев. 20, 2024

Язык: Английский

Процитировано

21