Mark Ashton

10 papers receiving 348 citations

Mark Ashton's Hit Papers

Antecedents and outcomes of artificial intelligence adoption and application in the workplace: the socio-technical system theory perspective 2022 · 165 citations
1650+1+2Years since publication50100150

Peers

Mark Ashton
Comparison fields: 5 of 59
  • Health Informatics 17
  • Marketing 62
  • Organizational Behavior and Human Resource Management 61
  • Business and International Management 9
  • Artificial Intelligence 125
Replace Kumar Biswas with:
Kumar Biswas Australia
Seden Doğan Türkiye
Eddy S. Fang China
Marco Shaojun Qin United States
Ainslie E. Schultz United States
Laura Munoz United States
Erol Pala New Zealand
Ludovica Moi Italy
Vijayakumar Gajenderan Bahrain
Rekha Attri India
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Countries citing papers authored by Mark Ashton

Since Specialization
Citations

This map shows the geographic impact of Mark Ashton'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 Mark Ashton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Ashton more than expected).

Fields of papers citing papers by Mark Ashton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Ashton. 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 Mark Ashton. The network helps show where Mark Ashton may publish in the future.

Co-authors

The 14 scholars most cited alongside Mark Ashton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Ashton Line = papers co-authored together Mark Ashton links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Antecedents and outcomes of artificial intelligence adoption and application in the workplace: the socio-technical system theory perspective
Hit paper breakdown →
2022165
2 2020124
3 202421
4 202212
5 202210
6 20238
7 20247
8 20255
9 20241
10 20251
11 20240

About Mark Ashton

Mark Ashton is a scholar working on Artificial Intelligence, Marketing, Food Science, Sociology and Political Science and Plant Science, having authored 11 papers that have together received 354 indexed citations. Recurring topics across this work include Food Waste Reduction and Sustainability (3 papers), Organizational and Employee Performance (3 papers), Environmental Sustainability in Business (2 papers), AI in Service Interactions (2 papers), Culinary Culture and Tourism (2 papers), Organic Food and Agriculture (2 papers), Sharing Economy and Platforms (1 paper) and Job Satisfaction and Organizational Behavior (1 paper). The work is most often cited by research in Health Informatics (17 citations), Marketing (62 citations), Organizational Behavior and Human Resource Management (61 citations), Business and International Management (9 citations) and Artificial Intelligence (125 citations). Mark Ashton has collaborated with scholars based in United Kingdom, Türkiye and Finland. Frequent co-authors include Shi Xu, Jason L. Stienmetz, Viachaslau Filimonau, Hakan Sezerel, Aarni Tuomi, Magdalena Kubal-Czerwińska, Vladimir A. Ermolaev, Iis Tussyadiah, Hanna‐Kaisa Ellonen and Peter Backman. Their work appears in journals such as International Journal of Hospitality Management, International Journal of Contemporary Hospitality Management, Sustainable Development, Cornell Hospitality Quarterly and International Journal of Gastronomy and Food Science.

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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