Arghya Ray

1.6k total citations · 1 hit paper
38 papers, 1.1k citations indexed

About

Arghya Ray is a scholar working on Sociology and Political Science, Information Systems and Management and Marketing. According to data from OpenAlex, Arghya Ray has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Sociology and Political Science, 17 papers in Information Systems and Management and 11 papers in Marketing. Recurrent topics in Arghya Ray's work include Technology Adoption and User Behaviour (17 papers), Digital Marketing and Social Media (17 papers) and Customer Service Quality and Loyalty (6 papers). Arghya Ray is often cited by papers focused on Technology Adoption and User Behaviour (17 papers), Digital Marketing and Social Media (17 papers) and Customer Service Quality and Loyalty (6 papers). Arghya Ray collaborates with scholars based in India, Malaysia and United Kingdom. Arghya Ray's co-authors include Pradip Kumar Bala, Amandeep Dhir, Puneet Kaur, Yogesh K. Dwivedi, Nripendra P. Rana, Rajat Kumar Behera, Ashraf Khalil, Long She, Shibashish Chakraborty and Rashmi Jain and has published in prestigious journals such as Journal of Business Research, International Journal of Hospitality Management and International Journal of Information Management.

In The Last Decade

Arghya Ray

35 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Why do people use food delivery apps (FDA)? A uses and gratification theory perspective

2019 410 citations Arghya Ray, Amandeep Dhir et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Arghya Ray India	15	633	483	423	202	179	38	1.1k
Sunny Sun Hong Kong	18	730 1.2×	336 0.7×	298 0.7×	175 0.9×	179 1.0×	60	1.2k
Hatice Kizgin United Kingdom	16	550 0.9×	285 0.6×	430 1.0×	180 0.9×	133 0.7×	24	1.1k
Cristina Olarte Pascual Spain	21	474 0.7×	504 1.0×	265 0.6×	162 0.8×	101 0.6×	63	1.1k
Hyeon-Mo Jeon South Korea	14	640 1.0×	618 1.3×	380 0.9×	340 1.7×	118 0.7×	24	1.1k
Rajibul Hasan France	17	761 1.2×	577 1.2×	316 0.7×	176 0.9×	476 2.7×	44	1.4k
Anil Gupta India	14	862 1.4×	602 1.2×	826 2.0×	192 1.0×	142 0.8×	28	1.5k
Linchi Kwok United States	21	1.1k 1.7×	849 1.8×	245 0.6×	367 1.8×	136 0.8×	44	1.7k
Rajan Yadav India	14	454 0.7×	361 0.7×	447 1.1×	119 0.6×	103 0.6×	40	835
Shavneet Sharma Fiji	21	691 1.1×	572 1.2×	420 1.0×	283 1.4×	174 1.0×	48	1.5k
Guru Prabhakar United Kingdom	15	491 0.8×	323 0.7×	225 0.5×	256 1.3×	92 0.5×	40	1.2k

Countries citing papers authored by Arghya Ray

Since Specialization

Citations

This map shows the geographic impact of Arghya Ray's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arghya Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arghya Ray more than expected).

Fields of papers citing papers by Arghya Ray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arghya Ray. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arghya Ray. The network helps show where Arghya Ray may publish in the future.

Co-authorship network of co-authors of Arghya Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Arghya Ray. A scholar is included among the top collaborators of Arghya Ray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arghya Ray. Arghya Ray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kaur, Sukhjeet, et al.. (2025). Does values impact intention to use sustainable mobility? An evidence from metropolitan cities of India. Research in Transportation Business & Management. 59. 101290–101290.

Ray, Arghya, et al.. (2025). Exploring barriers affecting e-learning usage intentions among Moroccan university students. International Journal of Management in Education. 19(2). 186–211.

She, Long, et al.. (2025). To invest or not to? Unravelling the factors influencing willingness to pay for smart home devices: a mixed-method approach. Asia-Pacific Journal of Business Administration. 18(1). 170–189.

Ray, Arghya, et al.. (2024). Effectiveness of sustainability communication on stakeholder engagement: A multi‐method qualitative assessment of sustainable development. Corporate Social Responsibility and Environmental Management. 32(1). 820–834. 2 indexed citations

Ray, Arghya, et al.. (2024). Assessment of the impact of extraversion on depression, distraction and knowledge absorption capacity in online learning education. International Journal of Educational Management. 39(1). 198–218. 1 indexed citations

Jain, Shilpi, Sriparna Basu, Arghya Ray, & Ronnie Das. (2023). Impact of irritation and negative emotions on the performance of voice assistants: Netting dissatisfied customers’ perspectives. International Journal of Information Management. 72. 102662–102662. 27 indexed citations

Ray, Arghya, et al.. (2023). What affects the use of green technology in hotels? Assessing hotel management viewpoint using natural language processing based qualitative study. Journal of Hospitality Marketing & Management. 32(7). 917–946. 14 indexed citations

Ray, Arghya, Siddharth Gupta, & Nripendra P. Rana. (2023). Quality aspects vs consumption values: What affects intention to book hotels in the post-Covid era?. Quality Management Journal. 30(4). 225–243. 2 indexed citations

Ray, Arghya, Biswadip Das, & Long She. (2023). What affects consumers' choice behaviour towards organic food restaurants? By applying organic food consumption value model. Journal of Hospitality and Tourism Insights. 7(5). 2582–2602. 9 indexed citations

10.

Sharif, Saeed Pahlevan, et al.. (2022). Investigating the relationships between MOOC consumers' perceived quality, emotional experiences, and intention to recommend: an NLP-based approach. Online Information Review. 47(3). 582–603. 11 indexed citations

11.

Ray, Arghya, Pradip Kumar Bala, Nripendra P. Rana, & Yogesh K. Dwivedi. (2022). Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers. Aslib Journal of Information Management. 74(6). 1126–1150. 4 indexed citations

12.

Ray, Arghya, Pradip Kumar Bala, & Rashmi Jain. (2022). How can topic-modelling of user-reviews reshape market surveys Exploring factors influencing usage intention of e-learning services through a novel multi-method approach. International Journal of Business Information Systems. 40(2). 259–259. 7 indexed citations

13.

Ray, Arghya, et al.. (2021). Operational Changes and Performance Outcomes: Analysis on Hotels of Five Asia–Pacific Countries. RePEc: Research Papers in Economics. 16(S1). 77–88. 3 indexed citations

14.

Ray, Arghya, Pradip Kumar Bala, & Nripendra P. Rana. (2021). Exploring the drivers of customers’ brand attitudes of online travel agency services: A text-mining based approach. Journal of Business Research. 128. 391–404. 43 indexed citations

15.

Behera, Rajat Kumar, Pradip Kumar Bala, & Arghya Ray. (2021). Cognitive Chatbot for Personalised Contextual Customer Service: Behind the Scene and beyond the Hype. Information Systems Frontiers. 26(3). 899–919. 65 indexed citations

16.

Ray, Arghya, Pradip Kumar Bala, & Yogesh K. Dwivedi. (2020). Exploring barriers affecting eLearning usage intentions: an NLP-based multi-method approach. Behaviour and Information Technology. 41(5). 1002–1018. 22 indexed citations

17.

Kaur, Puneet, Amandeep Dhir, Arghya Ray, Pradip Kumar Bala, & Ashraf Khalil. (2020). Innovation resistance theory perspective on the use of food delivery applications. Journal of Enterprise Information Management. 34(6). 1746–1768. 96 indexed citations

18.

Ray, Arghya, et al.. (2020). Understanding the factors influencing career choices in India: from the students' perspectives. International Journal of Indian Culture and Business Management. 20(2). 175–175. 11 indexed citations

19.

Ray, Arghya, Pradip Kumar Bala, & Rahul Kumar. (2020). An NLP-SEM approach to examine the gratifications affecting user’s choice of different e-learning providers from user tweets. Journal of Decision System. 30(4). 439–455. 12 indexed citations

20.

Ray, Arghya, et al.. (2019). Role of authenticity and perceived benefits of online courses on technology based career choice in India: A modified technology adoption model based on career theory. International Journal of Information Management. 47. 140–151. 53 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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