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For: Huang M, Rust RT. Artificial Intelligence in Service. Journal of Service Research 2018;21:155-72. [DOI: 10.1177/1094670517752459] [Cited by in Crossref: 428] [Cited by in F6Publishing: 36] [Article Influence: 107.0] [Reference Citation Analysis]
Number Citing Articles
1 Huang B, Philp M. When AI-based services fail: examining the effect of the self-AI connection on willingness to share negative word-of-mouth after service failures. The Service Industries Journal 2021;41:877-99. [DOI: 10.1080/02642069.2020.1748014] [Cited by in Crossref: 10] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]
2 Martin BA, Jin HS, Wang D, Nguyen H, Zhan K, Wang YX. The influence of consumer anthropomorphism on attitudes towards artificial intelligence trip advisors. Journal of Hospitality and Tourism Management 2020;44:108-11. [DOI: 10.1016/j.jhtm.2020.06.004] [Cited by in Crossref: 12] [Cited by in F6Publishing: 8] [Article Influence: 6.0] [Reference Citation Analysis]
3 R A, Kuanr A, Kr S. Developing banking intelligence in emerging markets: Systematic review and agenda. International Journal of Information Management Data Insights 2021;1:100026. [DOI: 10.1016/j.jjimei.2021.100026] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 6.0] [Reference Citation Analysis]
4 Choe JY(, Kim JJ, Hwang J. Innovative robotic restaurants in Korea: merging a technology acceptance model and theory of planned behaviour. Asian Journal of Technology Innovation. [DOI: 10.1080/19761597.2021.2005466] [Reference Citation Analysis]
5 Jörling M, Böhm R, Paluch S. Service Robots: Drivers of Perceived Responsibility for Service Outcomes. Journal of Service Research 2019;22:404-20. [DOI: 10.1177/1094670519842334] [Cited by in Crossref: 44] [Cited by in F6Publishing: 5] [Article Influence: 14.7] [Reference Citation Analysis]
6 Keiningham T, Aksoy L, Bruce HL, Cadet F, Clennell N, Hodgkinson IR, Kearney T. Customer experience driven business model innovation. Journal of Business Research 2020;116:431-40. [DOI: 10.1016/j.jbusres.2019.08.003] [Cited by in Crossref: 40] [Cited by in F6Publishing: 8] [Article Influence: 20.0] [Reference Citation Analysis]
7 Mende M, Noble SM. Retail Apocalypse or Golden Opportunity for Retail Frontline Management? Journal of Retailing 2019;95:84-9. [DOI: 10.1016/j.jretai.2019.06.002] [Cited by in Crossref: 21] [Cited by in F6Publishing: 5] [Article Influence: 7.0] [Reference Citation Analysis]
8 Cao A, Shi F, Bai B. A comparative review of hospitality and tourism innovation research in academic and trade journals. IJCHM 2022. [DOI: 10.1108/ijchm-11-2021-1443] [Reference Citation Analysis]
9 Borges AF, Laurindo FJ, Spínola MM, Gonçalves RF, Mattos CA. The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management 2021;57:102225. [DOI: 10.1016/j.ijinfomgt.2020.102225] [Cited by in Crossref: 38] [Cited by in F6Publishing: 16] [Article Influence: 38.0] [Reference Citation Analysis]
10 Kim TW, Duhachek A. Artificial Intelligence and Persuasion: A Construal-Level Account. Psychol Sci 2020;31:363-80. [PMID: 32223692 DOI: 10.1177/0956797620904985] [Cited by in Crossref: 9] [Cited by in F6Publishing: 2] [Article Influence: 4.5] [Reference Citation Analysis]
11 Kumar V, Ramachandran D. Developing firms' growth approaches as a multidimensional decision to enhance key stakeholders' wellbeing. International Journal of Research in Marketing 2021;38:402-24. [DOI: 10.1016/j.ijresmar.2020.09.004] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
12 Preko A, Amoako GK, Dzogbenuku RK, Kosiba J. Digital tourism experience for tourist site revisit: an empirical view from Ghana. JHTI 2022. [DOI: 10.1108/jhti-10-2021-0294] [Reference Citation Analysis]
13 Zeng Z, Chen P, Lew AA. From high-touch to high-tech: COVID-19 drives robotics adoption. Tourism Geographies 2020;22:724-34. [DOI: 10.1080/14616688.2020.1762118] [Cited by in Crossref: 131] [Cited by in F6Publishing: 5] [Article Influence: 65.5] [Reference Citation Analysis]
14 Ivanov S. The impact of automation on tourism and hospitality jobs. Inf Technol Tourism 2020;22:205-15. [DOI: 10.1007/s40558-020-00175-1] [Cited by in Crossref: 13] [Cited by in F6Publishing: 1] [Article Influence: 6.5] [Reference Citation Analysis]
15 Bove LL. Empathy for service: benefits, unintended consequences, and future research agenda. JSM 2019;33:31-43. [DOI: 10.1108/jsm-10-2018-0289] [Cited by in Crossref: 16] [Cited by in F6Publishing: 2] [Article Influence: 5.3] [Reference Citation Analysis]
16 Mozafari N, Weiger WH, Hammerschmidt M. Trust me, I'm a bot – repercussions of chatbot disclosure in different service frontline settings. JOSM 2021;ahead-of-print. [DOI: 10.1108/josm-10-2020-0380] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
17 Loureiro SMC, Nascimento J. Shaping a View on the Influence of Technologies on Sustainable Tourism. Sustainability 2021;13:12691. [DOI: 10.3390/su132212691] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
18 Pedrini G, Cappiello G. The impact of training on labour productivity in the European utilities sector: An empirical analysis. Utilities Policy 2022;74:101317. [DOI: 10.1016/j.jup.2021.101317] [Reference Citation Analysis]
19 Noor N, Rao Hill S, Troshani I. Artificial Intelligence Service Agents: Role of Parasocial Relationship. Journal of Computer Information Systems. [DOI: 10.1080/08874417.2021.1962213] [Reference Citation Analysis]
20 Cheng J, Song T, Liu Z, Zhou L, Sun D. Artificial intelligence technology based on deep learning in digestive endoscopy imaging diagnosis. Pers Ubiquit Comput. [DOI: 10.1007/s00779-021-01532-5] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
21 Kull AJ, Romero M, Monahan L. How may I help you? Driving brand engagement through the warmth of an initial chatbot message. Journal of Business Research 2021;135:840-50. [DOI: 10.1016/j.jbusres.2021.03.005] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 9.0] [Reference Citation Analysis]
22 Russo-spena T, Mele C, Marzullo M. Practising Value Innovation through Artificial Intelligence: The IBM Watson Case. Journal of Creating Value 2019;5:11-24. [DOI: 10.1177/2394964318805839] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
23 Pantano E, Pizzi G. Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis. Journal of Retailing and Consumer Services 2020;55:102096. [DOI: 10.1016/j.jretconser.2020.102096] [Cited by in Crossref: 39] [Cited by in F6Publishing: 13] [Article Influence: 19.5] [Reference Citation Analysis]
24 Chalmers D, Mackenzie NG, Carter S. Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution. Entrepreneurship Theory and Practice 2021;45:1028-53. [DOI: 10.1177/1042258720934581] [Cited by in Crossref: 11] [Cited by in F6Publishing: 2] [Article Influence: 5.5] [Reference Citation Analysis]
25 Tong L, Yan W, Manta O. Artificial Intelligence Influences Intelligent Automation in Tourism: A Mediating Role of Internet of Things and Environmental, Social, and Governance Investment. Front Environ Sci 2022;10:853302. [DOI: 10.3389/fenvs.2022.853302] [Reference Citation Analysis]
26 Kim J, Giroux M, Lee JC. When do you trust AI? The effect of number presentation detail on consumer trust and acceptance of AI recommendations. Psychology & Marketing 2021;38:1140-55. [DOI: 10.1002/mar.21498] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [Reference Citation Analysis]
27 Xu N, Wang K. Adopting robot lawyer? The extending artificial intelligence robot lawyer technology acceptance model for legal industry by an exploratory study. Journal of Management & Organization 2021;27:867-85. [DOI: 10.1017/jmo.2018.81] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.7] [Reference Citation Analysis]
28 Uysal E, Alavi S, Bezençon V. Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features. J of the Acad Mark Sci . [DOI: 10.1007/s11747-022-00856-9] [Reference Citation Analysis]
29 Wei W, Li L. The Impact of Artificial Intelligence on the Mental Health of Manufacturing Workers: The Mediating Role of Overtime Work and the Work Environment. Front Public Health 2022;10:862407. [DOI: 10.3389/fpubh.2022.862407] [Reference Citation Analysis]
30 Alavi S, Habel J, Schwenke M, Schmitz C. Price negotiating for services: elucidating the ambivalent effects on customers’ negotiation aspirations. J of the Acad Mark Sci 2020;48:165-85. [DOI: 10.1007/s11747-019-00676-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
31 Kim T, Lee H, Kim MY, Kim S, Duhachek A. AI increases unethical consumer behavior due to reduced anticipatory guilt. J of the Acad Mark Sci . [DOI: 10.1007/s11747-021-00832-9] [Reference Citation Analysis]
32 Malik A, Budhwar P, Patel C, Srikanth NR. May the bots be with you! Delivering HR cost-effectiveness and individualised employee experiences in an MNE. The International Journal of Human Resource Management. [DOI: 10.1080/09585192.2020.1859582] [Cited by in Crossref: 12] [Cited by in F6Publishing: 2] [Article Influence: 6.0] [Reference Citation Analysis]
33 Liu Y, Wang X, Wang S. Research on service robot adoption under different service scenarios. Technology in Society 2022;68:101810. [DOI: 10.1016/j.techsoc.2021.101810] [Reference Citation Analysis]
34 Bock DE, Wolter JS, Ferrell O. Artificial intelligence: disrupting what we know about services. JSM 2020;34:317-34. [DOI: 10.1108/jsm-01-2019-0047] [Cited by in Crossref: 21] [Cited by in F6Publishing: 10] [Article Influence: 10.5] [Reference Citation Analysis]
35 Letheren K, Russell-bennett R, Mulcahy RF, Mcandrew R. Rules of (household) engagement: technology as manager, assistant and intern. EJM 2019;53:1934-61. [DOI: 10.1108/ejm-10-2017-0759] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 5.0] [Reference Citation Analysis]
36 Kim K, Kim B. Decision-Making Model for Reinforcing Digital Transformation Strategies Based on Artificial Intelligence Technology. Information 2022;13:253. [DOI: 10.3390/info13050253] [Reference Citation Analysis]
37 Blut M, Wang C, Wünderlich NV, Brock C. Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI. J of the Acad Mark Sci 2021;49:632-58. [DOI: 10.1007/s11747-020-00762-y] [Cited by in Crossref: 16] [Cited by in F6Publishing: 6] [Article Influence: 16.0] [Reference Citation Analysis]
38 Wilson M, Paschen J, Pitt L. The circular economy meets artificial intelligence (AI): understanding the opportunities of AI for reverse logistics. MEQ 2021;33:9-25. [DOI: 10.1108/meq-10-2020-0222] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 5.0] [Reference Citation Analysis]
39 Manser Payne EH, Dahl AJ, Peltier J. Digital servitization value co-creation framework for AI services: a research agenda for digital transformation in financial service ecosystems. JRIM 2021;15:200-22. [DOI: 10.1108/jrim-12-2020-0252] [Cited by in Crossref: 15] [Cited by in F6Publishing: 5] [Article Influence: 15.0] [Reference Citation Analysis]
40 Lin IY, Mattila AS. The Value of Service Robots from the Hotel Guest’s Perspective: A Mixed-Method Approach. International Journal of Hospitality Management 2021;94:102876. [DOI: 10.1016/j.ijhm.2021.102876] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 9.0] [Reference Citation Analysis]
41 Ferrell OC, Ferrell L. TECHNOLOGY CHALLENGES AND OPPORTUNITIES FACING MARKETING EDUCATION. Marketing Education Review 2020;30:3-14. [DOI: 10.1080/10528008.2020.1718510] [Cited by in Crossref: 14] [Cited by in F6Publishing: 5] [Article Influence: 7.0] [Reference Citation Analysis]
42 Shin H. A critical review of robot research and future research opportunities: adopting a service ecosystem perspective. IJCHM 2022. [DOI: 10.1108/ijchm-09-2021-1171] [Reference Citation Analysis]
43 Khakurel J, Penzenstadler B, Porras J, Knutas A, Zhang W. The Rise of Artificial Intelligence under the Lens of Sustainability. Technologies 2018;6:100. [DOI: 10.3390/technologies6040100] [Cited by in Crossref: 26] [Cited by in F6Publishing: 4] [Article Influence: 6.5] [Reference Citation Analysis]
44 Pitt C, Paschen J, Kietzmann J, Pitt LF, Pala E. Artificial Intelligence, Marketing, and the History of Technology: Kranzberg’s Laws as a Conceptual Lens. Australasian Marketing Journal. [DOI: 10.1177/18393349211044175] [Reference Citation Analysis]
45 Bonamigo A, Frech CG. Industry 4.0 in services: challenges and opportunities for value co-creation. JSM 2020;35:412-27. [DOI: 10.1108/jsm-02-2020-0073] [Cited by in Crossref: 4] [Article Influence: 2.0] [Reference Citation Analysis]
46 Zhou X, Yang Z, Hyman MR, Li G, Munim ZH. Guest editorial: Impact of artificial intelligence on business strategy in emerging markets: a conceptual framework and future research directions. IJOEM 2022;17:917-29. [DOI: 10.1108/ijoem-04-2022-995] [Reference Citation Analysis]
47 Jiang K, Qin M, Li S. Chatbots in retail: How do they affect the continued use and purchase intentions of Chinese consumers? J of Consumer Behaviour. [DOI: 10.1002/cb.2034] [Reference Citation Analysis]
48 Blöcher K, Alt R. AI and robotics in the European restaurant sector: Assessing potentials for process innovation in a high-contact service industry. Electron Markets 2021;31:529-51. [DOI: 10.1007/s12525-020-00443-2] [Cited by in Crossref: 5] [Article Influence: 2.5] [Reference Citation Analysis]
49 Modgil S, Gupta S, Stekelorum R, Laguir I. AI technologies and their impact on supply chain resilience during COVID-19. IJPDLM 2021;ahead-of-print. [DOI: 10.1108/ijpdlm-12-2020-0434] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
50 Munoko I, Brown-liburd HL, Vasarhelyi M. The Ethical Implications of Using Artificial Intelligence in Auditing. J Bus Ethics 2020;167:209-34. [DOI: 10.1007/s10551-019-04407-1] [Cited by in Crossref: 32] [Cited by in F6Publishing: 15] [Article Influence: 16.0] [Reference Citation Analysis]
51 Qiu H, Li M, Shu B, Bai B. Enhancing hospitality experience with service robots: the mediating role of rapport building. Journal of Hospitality Marketing & Management 2020;29:247-68. [DOI: 10.1080/19368623.2019.1645073] [Cited by in Crossref: 46] [Cited by in F6Publishing: 2] [Article Influence: 15.3] [Reference Citation Analysis]
52 Wang Y, Kang Q, Zhou S, Dong Y, Liu J. The impact of service robots in retail: Exploring the effect of novelty priming on consumer behavior. Journal of Retailing and Consumer Services 2022;68:103002. [DOI: 10.1016/j.jretconser.2022.103002] [Reference Citation Analysis]
53 Votto AM, Valecha R, Najafirad P, Rao HR. Artificial Intelligence in Tactical Human Resource Management: A Systematic Literature Review. International Journal of Information Management Data Insights 2021;1:100047. [DOI: 10.1016/j.jjimei.2021.100047] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 5.0] [Reference Citation Analysis]
54 Garry T, Harwood T. Cyborgs as frontline service employees: a research agenda. JSTP 2019;29:415-37. [DOI: 10.1108/jstp-11-2018-0241] [Cited by in Crossref: 10] [Cited by in F6Publishing: 2] [Article Influence: 3.3] [Reference Citation Analysis]
55 Reis J, Melão N, Salvadorinho J, Soares B, Rosete A. Service robots in the hospitality industry: The case of Henn-na hotel, Japan. Technology in Society 2020;63:101423. [DOI: 10.1016/j.techsoc.2020.101423] [Cited by in Crossref: 27] [Cited by in F6Publishing: 11] [Article Influence: 13.5] [Reference Citation Analysis]
56 Grewal D, Kroschke M, Mende M, Roggeveen AL, Scott ML. Frontline Cyborgs at Your Service: How Human Enhancement Technologies Affect Customer Experiences in Retail, Sales, and Service Settings. Journal of Interactive Marketing 2020;51:9-25. [DOI: 10.1016/j.intmar.2020.03.001] [Cited by in Crossref: 18] [Article Influence: 9.0] [Reference Citation Analysis]
57 Akter S, Wamba SF, Mariani M, Hani U. How to Build an AI Climate-Driven Service Analytics Capability for Innovation and Performance in Industrial Markets? Industrial Marketing Management 2021;97:258-73. [DOI: 10.1016/j.indmarman.2021.07.014] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
58 Haenlein M, Kaplan A, Tan C, Zhang P. Artificial intelligence (AI) and management analytics. Journal of Management Analytics 2019;6:341-3. [DOI: 10.1080/23270012.2019.1699876] [Cited by in Crossref: 17] [Cited by in F6Publishing: 6] [Article Influence: 5.7] [Reference Citation Analysis]
59 Chen S, Han X, Bilgihan A, Okumus F. Customer engagement research in hospitality and tourism: a systematic review. Journal of Hospitality Marketing & Management 2021;30:871-904. [DOI: 10.1080/19368623.2021.1903644] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
60 Paluch S, Wirtz J, Kunz WH. Service Robots and the Future of Services. In: Bruhn M, Burmann C, Kirchgeorg M, editors. Marketing Weiterdenken. Wiesbaden: Springer Fachmedien; 2020. pp. 423-35. [DOI: 10.1007/978-3-658-31563-4_21] [Cited by in Crossref: 8] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
61 Ivanov SH, Webster C, Stoilova E, Slobodskoy D. Biosecurity, crisis management, automation technologies and economic performance of travel, tourism and hospitality companies – A conceptual framework. Tourism Economics. [DOI: 10.1177/1354816620946541] [Cited by in Crossref: 20] [Article Influence: 10.0] [Reference Citation Analysis]
62 Qiu H, Li M, Bai B, Wang N, Li Y. The impact of AI-enabled service attributes on service hospitableness: the role of employee physical and psychological workload. IJCHM 2022;ahead-of-print. [DOI: 10.1108/ijchm-08-2021-0960] [Reference Citation Analysis]
63 Haenlein M, Huang M, Kaplan A. Guest Editorial: Business Ethics in the Era of Artificial Intelligence. J Bus Ethics. [DOI: 10.1007/s10551-022-05060-x] [Reference Citation Analysis]
64 Lu VN, Wirtz J, Kunz WH, Paluch S, Gruber T, Martins A, Patterson PG. Service robots, customers and service employees: what can we learn from the academic literature and where are the gaps? JSTP 2020;30:361-91. [DOI: 10.1108/jstp-04-2019-0088] [Cited by in Crossref: 62] [Article Influence: 31.0] [Reference Citation Analysis]
65 Cain LN, Thomas JH, Alonso Jr M. From sci-fi to sci-fact: the state of robotics and AI in the hospitality industry. JHTT 2019;10:624-50. [DOI: 10.1108/jhtt-07-2018-0066] [Cited by in Crossref: 21] [Article Influence: 7.0] [Reference Citation Analysis]
66 Noble SM, Mende M, Grewal D, Parasuraman A. The Fifth Industrial Revolution: How harmonious human–machine collaboration is triggering a retail and service [r]evolution. Journal of Retailing 2022. [DOI: 10.1016/j.jretai.2022.04.003] [Reference Citation Analysis]
67 Chi OH, Gursoy D, Chi CG. Tourists’ Attitudes toward the Use of Artificially Intelligent (AI) Devices in Tourism Service Delivery: Moderating Role of Service Value Seeking. Journal of Travel Research 2022;61:170-85. [DOI: 10.1177/0047287520971054] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
68 Lv H, Shi S, Gursoy D. A look back and a leap forward: a review and synthesis of big data and artificial intelligence literature in hospitality and tourism. Journal of Hospitality Marketing & Management 2022;31:145-75. [DOI: 10.1080/19368623.2021.1937434] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
69 Giroux M, Kim J, Lee JC, Park J. Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI. J Bus Ethics. [DOI: 10.1007/s10551-022-05056-7] [Reference Citation Analysis]
70 Hentzen JK, Hoffmann A, Dolan R, Pala E. Artificial intelligence in customer-facing financial services: a systematic literature review and agenda for future research. IJBM 2021;ahead-of-print. [DOI: 10.1108/ijbm-09-2021-0417] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
71 Keding C. Understanding the interplay of artificial intelligence and strategic management: four decades of research in review. Manag Rev Q 2021;71:91-134. [DOI: 10.1007/s11301-020-00181-x] [Cited by in Crossref: 23] [Cited by in F6Publishing: 12] [Article Influence: 11.5] [Reference Citation Analysis]
72 Yap S, Xu Y, Tan L. Coping with crisis: The paradox of technology and consumer vulnerability. Int J Consum Stud 2021;45:1239-57. [DOI: 10.1111/ijcs.12724] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
73 Carlson K, Kopalle PK, Riddell A, Rockmore D, Vana P. Complementing Human Effort in Online Reviews: A Deep Learning Approach to Automatic Content Generation and Review Synthesis. International Journal of Research in Marketing 2022. [DOI: 10.1016/j.ijresmar.2022.02.004] [Reference Citation Analysis]
74 Jiang H, Xu M, Sun P, Zhang J. Humanoid service robots versus human employee: how consumers react to functionally and culturally mixed products. IJOEM 2021. [DOI: 10.1108/ijoem-04-2021-0643] [Reference Citation Analysis]
75 Do KT, Gip H, Guchait P, Wang C, Baaklini ES. Empathetic creativity for frontline employees in the age of service robots: conceptualization and scale development. JOSM 2022. [DOI: 10.1108/josm-09-2021-0352] [Reference Citation Analysis]
76 Whittaker L, Letheren K, Mulcahy R. The Rise of Deepfakes: A Conceptual Framework and Research Agenda for Marketing. Australasian Marketing Journal 2021;29:204-14. [DOI: 10.1177/1839334921999479] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
77 Grewal D, Hulland J, Kopalle PK, Karahanna E. The future of technology and marketing: a multidisciplinary perspective. J of the Acad Mark Sci 2020;48:1-8. [DOI: 10.1007/s11747-019-00711-4] [Cited by in Crossref: 69] [Article Influence: 23.0] [Reference Citation Analysis]
78 Le KBQ, Sajtos L, Fernandez KV. Employee-(ro)bot collaboration in service: an interdependence perspective. JOSM 2022. [DOI: 10.1108/josm-06-2021-0232] [Reference Citation Analysis]
79 de Bellis E, Venkataramani Johar G. Autonomous Shopping Systems: Identifying and Overcoming Barriers to Consumer Adoption. Journal of Retailing 2020;96:74-87. [DOI: 10.1016/j.jretai.2019.12.004] [Cited by in Crossref: 38] [Cited by in F6Publishing: 4] [Article Influence: 19.0] [Reference Citation Analysis]
80 Simon O, Neuhofer B, Egger R. Human-robot interaction: Conceptualising trust in frontline teams through LEGO® Serious Play®. Tourism Management Perspectives 2020;35:100692. [DOI: 10.1016/j.tmp.2020.100692] [Cited by in Crossref: 7] [Cited by in F6Publishing: 1] [Article Influence: 3.5] [Reference Citation Analysis]
81 Zheng Y, Tsai S. Key Technologies of Media Data In-Depth Analysis System Based on Artificial Intelligence-Based Big Data. Mobile Information Systems 2021;2021:1-10. [DOI: 10.1155/2021/7191567] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
82 Reis J, Cohen Y, Melão N, Costa J, Jorge D. High-Tech Defense Industries: Developing Autonomous Intelligent Systems. Applied Sciences 2021;11:4920. [DOI: 10.3390/app11114920] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
83 Holthöwer J, van Doorn J. Robots do not judge: service robots can alleviate embarrassment in service encounters. J of the Acad Mark Sci . [DOI: 10.1007/s11747-022-00862-x] [Reference Citation Analysis]
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