Skip to main content

Artificial Intelligence in the B2C Service Sector – A Literature Review

  • Chapter
  • First Online:
Künstliche Intelligenz im Dienstleistungsmanagement

Part of the book series: Forum Dienstleistungsmanagement ((FD))

  • 10k Accesses

Zusammenfassung

Artificial intelligence applications are transforming many service sectors. Research on artificial intelligence in business-to-consumer services suggests approaches for innovative kinds of customer services, enhancement of human service provision, and new customer experiences based on artificial intelligence applications. The chapter provides an overview of scholarly research on the scientific understanding of artificial intelligence in services, investigated artificial intelligence algorithms and technologies in concrete service contexts, and a summary of the study findings as well as suggestions for future research in this dynamically expanding field.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abbas, Z./Merbis, R./Motruk, A. (2020): Leveraging Machine Learning to Deepen Customer Insight, in: Applied Marketing Analytics, Vol. 5, No. 4, pp. 304-311.

    Google Scholar 

  2. Adam, M./Wessel, M./Benlian, A. (2020): AI-Based Chatbots in Customer Service and Their Effects on User Compliance, in: Electronic Markets, Forthcoming, pp. 1-19.

    Google Scholar 

  3. Alt, R./Ehmke, J.F./Haux, R./Henke, T./Mattfeld, D.C./Oberweis, A./Paech, B./Winter, A. (2019): Towards Customer-Induced Service Orchestration – Requirements for the Next Step of Customer Orientation, in: Electronic Markets, Vol. 29, No. 1, pp. 79-91.

    Google Scholar 

  4. Apte, U.M./Beath, C.M./Goh, C.H. (1999): An Analysis of the Production Line Versus the Case Manager Approach to Information Intensive Services, in: Decision Sciences, Vol. 30, No. 4, pp. 1105-1129.

    Google Scholar 

  5. Atsalakis, G.S./Atsalaki, I.G./Zopounidis, C. (2018): Forecasting the Success of a New Tourism Service by a Neuro-Fuzzy Technique, in: European Journal of Operational Research, Vol. 268, No. 2, pp. 716-727.

    Google Scholar 

  6. Balmer, R.E./Levin, S.L./Schmidt, S. (2020): Artificial Intelligence Applications in Telecommunications and Other Network Industries, in: Telecommunications Policy, Vol. 44, No. 6, pp. 271-291.

    Google Scholar 

  7. Baryannis, G./Validi, S./Danib, S./Antoniou, G. (2019): Supply Chain Risk Management and Artificial Intelligence – State of the Art and Future Research Directions, in: International Journal of Production Research, Vol. 57, No. 7, pp. 2179-2202.

    Google Scholar 

  8. Belanche, D./Casaló, L.V./Flavián, C. (2019): Artificial Intelligence in Fintech – Understanding Robo-Advisors Adoption among Customers, in: Industrial Management and Data Systems, Vol. 119, No. 7, pp. 1411-1430.

    Google Scholar 

  9. Belanche, D./Casaló, L.V./Flavián, C./Schepers, J. (2020): Service Robot Implementation – A Theoretical Framework and Research Agenda, in: Service Industries Journal, Vol. 40, No. 3-4, pp. 203-225.

    Google Scholar 

  10. Buhalis, D./Harwood, T./Bogicevic, V./Viglia, G./Beldona, S./Hofacker, C. (2019): Technological Disruptions in Services – Lessons from Tourism and Hospitality, in: Journal of Service Management, Vol. 30, No. 4, pp. 484-506.

    Google Scholar 

  11. Buhalis, D./Sinarta, Y. (2019): Real-Time Co-Creation and Nowness Service – Lessons from Tourism and Hospitality, in: Journal of Travel and Tourism Marketing, Vol. 36, No. 5, pp. 563-582.

    Google Scholar 

  12. Canhoto, A.I./Clear, F. (2020): Artificial Intelligence and Machine Learning as Business Tools – A Framework for Diagnosing Value Destruction Potential, in: Business Horizons, Vol. 63, No. 2, pp. 183-193.

    Google Scholar 

  13. Chi, O.H./Denton, G./Dogan, G. (2020): Artificially Intelligent Device Use in Service Delivery – A Systematic Review, Synthesis, and Research Agenda, in: Journal of Hospitality Marketing and Management, Vol. 29, No. 7, pp. 757-786.

    Google Scholar 

  14. Choi, J.H./Park, Y.T. (2012): Mobile Planner for Proactive Service Composition, in: Advanced Science Letters, Vol. 9, No. 1, pp. 665-670.

    Google Scholar 

  15. Choi, Y./Choi, M./Oh, M./Kim, S. (2019): Service Robots in Hotels – Understanding the Service Quality Perceptions of Human-Robot Interaction, in: Journal of Hospitality Marketing and Management, Vol. 29, No. 6, pp. 613-635.

    Google Scholar 

  16. Choi, Y./Oh, M./Choi, M./Kim, S. (2020): Exploring the Influence of Culture on Tourist Experiences with Robots in Service Delivery Environment, in: Current Issues in Tourism, Forthcoming, pp. 1-17.

    Google Scholar 

  17. Church, K./Smyth, B. (2007): Improving Mobile Search Using Content Enrichment, in: Artificial Intelligence Review, Vol. 28, No. 1, pp. 87-102.

    Google Scholar 

  18. Coombs, C./Hislop, D./Taneva, S.K./Barnard, S. (2020): The Strategic Impacts of Intelligent Automation for Knowledge and Service Work – An Interdisciplinary Review, in: Journal of Strategic Information Systems, Forthcoming, pp. 1-30.

    Google Scholar 

  19. Dağ, Ö.H.N. (2019): Predicting the Success of Ensemble Algorithms in the Banking Sector, in: International Journal of Business Analytics, Vol. 6, No. 4, pp. 12-31.

    Google Scholar 

  20. De Caigny, A./Coussement, K./De Bock, K.W. (2020): Leveraging Fine-Grained Transaction Data for Customer Life Event Predictions, in: Decision Support Systems, Vol. 130, No. 1, pp. 1-12.

    Google Scholar 

  21. de Kervenoael, R./Hasan, R./Schwob, A./Goh, E. (2020): Leveraging Human-Robot Interaction in Hospitality Services – Incorporating the Role of Perceived Value, Empathy, and Information Sharing into Visitors’ Intentions to Use Social Robots, in: Tourism Management, Vol. 78, No. 6, pp. 1-15.

    Google Scholar 

  22. De Keyser, A./Köcher, S./Alkire, L./Verbeeck, C./Kandampully, J. (2019): Frontline Service Technology Infusion – Conceptual Archetypes and Future Research Directions, in: Journal of Service Management, Vol. 30, No. 1, pp. 156-183.

    Google Scholar 

  23. de Sousa, W.G./Pereira de Melo, E.R./De Souza Bermejo, P.H./Sousa Farias, R.A./Gomes, A.O. (2019): How and Where Is Artificial Intelligence in the Public Sector Going? – A Literature Review and Research Agenda, in: Government Information Quarterly, Vol. 36, No. 4, pp. 1-14.

    Google Scholar 

  24. Dhote, T./Pathak, P./Kulkarni, P. (2020): Coping with the Challenges Posed by Gafa and Other Digital Disruptors – Can Advanced Technologies Help the Banking Sector?, in: International Journal of Scientific and Technology Research, Vol. 9, No. 2, pp. 2196-2199.

    Google Scholar 

  25. Elapanda, S./Adinarayana Rao, U.V./Sravan Kumar, E. (2020): Application of Artificial Intelligence in Improving Operational Efficiency in Telecom Industry, in: International Journal on Emerging Technologies, Vol. 11, No. 3, pp. 65-69.

    Google Scholar 

  26. Ferràs, X./Hitchen, E.L./Tarrats-Pons, E./Arimany-Serrat, N. (2020): Smart Tourism Empowered by Artificial Intelligence – The Case of Lanzarote, in: Journal of Cases on Information Technology, Vol. 22, No. 1, pp. 1-13.

    Google Scholar 

  27. Fikar, C./Mild, A./Waitz, M. (2019): Facilitating Consumer Preferences and Product Shelf Life Data in the Design of E-Grocery Deliveries, in: European Journal of Operational Research, Forthcoming, pp. 1-11.

    Google Scholar 

  28. Fourie, L./Bennett, T.K. (2019): Super Intelligent Financial Services, in: Journal of Payments Strategy and Systems, Vol. 13, No. 2, pp. 151-164.

    Google Scholar 

  29. Garry, T./Harwood, T. (2019): Cyborgs as Frontline Service Employees – A Research Agenda, in: Journal of Service Theory and Practice, Vol. 29, No. 4, pp. 415-437.

    Google Scholar 

  30. Gäthke, J. (2020): The Impact of Augmented Reality on Overall Service Satisfaction in Elaborate Servicescapes, in: Journal of Service Management, Vol. 31, No. 2, pp. 227-246.

    Google Scholar 

  31. Gelbrich, K./Hagel, J./Orsingher, C. (2020): Emotional Support from a Digital Assistant in Technology-Mediated Services – Effects on Customer Satisfaction and Behavioral Persistence, in: International Journal of Research in Marketing, Forthcoming, pp. 1-18.

    Google Scholar 

  32. Go, E.J./Moon, J./Kim, J. (2020): Analysis of the Current and Future of the Artificial Intelligence in Financial Industry with Big Data Techniques, in: Global Business and Finance Review, Vol. 25, No. 1, pp. 102-117.

    Google Scholar 

  33. Graef, R./Klier, M./Kluge, K./Zolitschka, J.F. (2020): Human-Machine Collaboration in Online Customer Service – A Long-Term Feedback-Based Approach, in: Electronic Markets, Forthcoming, pp. 1-23.

    Google Scholar 

  34. Gursoy, D./Chi, O.H./Lu, L./Nunkoo, R. (2019): Consumers Acceptance of Artificially Intelligent (AI) Device Use in Service Delivery, in: International Journal of Information Management, Vol. 49, No. 6, pp. 157-169.

    Google Scholar 

  35. Gustavsson, E. (2005): Virtual Servants – Stereotyping Female Front-Office Employees on the Internet, in: Gender, Work and Organization, Vol. 12, No. 5, pp. 400-419.

    Google Scholar 

  36. Henkel, A.P./Bromuri, S./Iren, D./Urovi, V. (2020): Half Human, Half Machine – Augmenting Service Employees with AI for Interpersonal Emotion Regulation, in: Journal of Service Management, Vol. 31, No. 2, pp. 247-265.

    Google Scholar 

  37. Hodgkins, S. (2020): Cyber-Physical Production Networks – Artificial Intelligence Data-Driven Internet of Things Systems, Smart Manufacturing Technologies, and Real-Time Process Monitoring, in: Journal of Self-Governance and Management Economics, Vol. 8, No. 1, pp. 144-120.

    Google Scholar 

  38. Hsiao, W.H./Chang, T.S. (2019): Exploring the Opportunity of Digital Voice Assistants in the Logistics and Transportation Industry, in: Journal of Enterprise Information Management, Vol. 32, No. 6, pp. 1034-1050.

    Google Scholar 

  39. Hu, Z.H./Wei, C./Yu, X.K. (2015): Apparel Distribution with Uncertain Try-on Time by Evolutionary Algorithm, in: International Journal of Clothing Science and Technology, Vol. 27, No. 1, pp. 75-90.

    Google Scholar 

  40. Huang, B./Philp, M. (2020): When AI-Based Services Fail – Examining the Effect of the Self-AI Connection on Willingness to Share Negative Word-of-Mouth after Service Failures, in: Service Industries Journal, Forthcoming, pp. 1-23.

    Google Scholar 

  41. Huang, M.H./Rust, R.T. (2018): Artificial Intelligence in Service, in: Journal of Service Research, Vol. 21, No. 2, pp. 155-172.

    Google Scholar 

  42. Huang, M.H./Rust, R.T. (2020): Engaged to a Robot? The Role of AI in Service, in: Journal of Service Research, Forthcoming, pp 1-12.

    Google Scholar 

  43. Iiie, M./Moraru, A.D./Ghita-Mitrescu, S. (2017): The Hierarchical Determination of Customer Satisfaction with Banking Services Using an Artificial Neural Network, in: Transformations in Business and Economics, Vol. 16, No. 2A, pp. 401-420.

    Google Scholar 

  44. Javed Mehedi Shamrat, F.M./Sazzadur Rahman, A.K.M./Tasnim, Z./Hossain, S.A. (2020): An Offline and Online-Based Android Application “Travelhelp” to Assist the Travelers Visually and Verbally for Outing, in: International Journal of Scientific and Technology Research, Vol. 9, No. 1, pp. 1270-1277.

    Google Scholar 

  45. Kaplan, A./Haenlein, M. (2019): Siri, Siri, in My Hand – Who's the Fairest in the Land? On the Interpretations, Illustrations, and Implications of Artificial Intelligence, in: Business Horizons, Vol. 62, No. 1, pp. 15-25.

    Google Scholar 

  46. Kar, A.K./Singh, P. (2012): A Model for Bundling Mobile Value Added Services Using Neural Networks, in: International Journal of Applied Decision Sciences, Vol. 5, No. 1, pp. 47-63.

    Google Scholar 

  47. Khare, V.R./Chougule, R. (2012): Decision Support for Improved Service Effectiveness Using Domain Aware Text Mining, in: Knowledge-Based Systems, Vol. 33, No. 1, pp. 29-40.

    Google Scholar 

  48. Kim, G.M. (2019): A Study on Convergence Design Using Information and Communication Technology, in: International Journal of Recent Technology and Engineering, Vol. 7, No. 6, pp. 1321-1326.

    Google Scholar 

  49. Klaus, P./Zaichkowsky, J. (2020): AI Voice Bots – A Services Marketing Research Agenda, in: Journal of Services Marketing, Vol. 34, No. 3, pp. 389-398.

    Google Scholar 

  50. Kohler, M./Feldmann, N./Kimbrough, S.O./Fromm, H. (2014): Service Innovation Analytics – Leveraging Existing Unstructured Data to Assess Service Innovation Capability, in: International Journal of Information System Modeling and Design, Vol. 5, No. 2, pp. 1-21.

    Google Scholar 

  51. Königstorfer, F./Thalmann, S. (2020): Applications of Artificial Intelligence in Commercial Banks – A Research Agenda for Behavioral Finance, in: Journal of Behavioral and Experimental Finance, Vol. 27, No. 1, pp. 1-15.

    Google Scholar 

  52. Kuberkar, S./Singhal, T.K. (2020): Factors Influencing Adoption Intention of AI Powered Chatbot for Public Transport Services within a Smart City, in: International Journal on Emerging Technologies, Vol. 11, No. 3, pp. 948-958.

    Google Scholar 

  53. Kühl, N./Mühlthaler, M./Goutier, M. (2020): Supporting Customer-Oriented Marketing with Artificial Intelligence – Automatically Quantifying Customer Needs from Social Media, in: Electronic Markets, Vol. 30, No. 2, pp. 351-367.

    Google Scholar 

  54. Lapide, L. (2019): Artificial Intelligence – Decision Maker or Supporter?, in: Journal of Business Forecasting, Vol. 38, No. 4, pp. 21-23.

    Google Scholar 

  55. Lee, I./Shin, Y.J. (2020): Machine Learning for Enterprises – Applications, Algorithm Selection, and Challenges, in: Business Horizons, Vol. 63, No. 2, pp. 157-170.

    Google Scholar 

  56. Leung, R. (2019): Smart Hospitality – Taiwan Hotel Stakeholder Perspectives, in: Tourism Review, Vol. 74, No. 1, pp. 50-62.

    Google Scholar 

  57. Libai, B./Bart, Y./Gensler, S./Hofacker, C.F./Kaplan, A./Kötterheinrich, K./Kroll, E.B. (2020): Brave New World? On AI and the Management of Customer Relationships, in: Journal of Interactive Marketing, Vol. 51, No. 8, pp. 44-56.

    Google Scholar 

  58. Lin, H./Chi, O.H./Gursoy, D. (2019): Antecedents of Customers’ Acceptance of Artificially Intelligent Robotic Device Use in Hospitality Services, in: Journal of Hospitality Marketing and Management, Vol. 29, No. 5, pp. 530-549.

    Google Scholar 

  59. Lu, L./Cai, R./Gursoy, D. (2019): Developing and Validating a Service Robot Integration Willingness Scale, in: International Journal of Hospitality Management, Vol. 80, No. 1, pp. 36-51.

    Google Scholar 

  60. Lui, A./Lamb, G.W. (2018): Artificial Intelligence and Augmented Intelligence Collaboration – Regaining Trust and Confidence in the Financial Sector, in: Information and Communications Technology Law, Vol. 27, No. 3, pp. 267-283.

    Google Scholar 

  61. Luo, X./Tong, S./Fang, Z./Qu, Z. (2019): Frontiers: Machines vs. Humans – The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases, in: Marketing Science, Vol. 38, No. 6, pp. 937-947.

    Google Scholar 

  62. Manser Payne, E./Peltier, J.W./Barger, V.A. (2018): Mobile Banking and AI-Enabled Mobile Banking – The Differential Effects of Technological and Non-Technological Factors on Digital Natives’ Perceptions and Behavior, in: Journal of Research in Interactive Marketing, Vol. 12, No. 3, pp. 328-346.

    Google Scholar 

  63. Marković, N./Kim, M.E./Schonfeld, P. (2016): Statistical and Machine Learning Approach for Planning Dial-a-Ride Systems, in: Transportation Research Part A: Policy and Practice, Vol. 89, No. 1, pp. 41-55.

    Google Scholar 

  64. Martínez-López, F.J./Casillas, J. (2013): Artificial Intelligence-Based Systems Applied in Industrial Marketing – An Historical Overview, Current and Future Insights, in: Industrial Marketing Management, Vol. 42, No. 4, pp. 489-495.

    Google Scholar 

  65. Mayer, C. (2019): Digital Passengers – A Great Divide or Emerging Opportunity?, in: Journal of Airport Management, Vol. 13, No. 4, pp. 335-344.

    Google Scholar 

  66. Meyer, C./Cohen, D./Nair, S. (2020): From Automats to Algorithms – The Automation of Services Using Artificial Intelligence, in: Journal of Service Management, Vol. 31, No. 2, pp. 145-161.

    Google Scholar 

  67. Miles, I. (2004): Innovation in Services, in: Fageberg, J./Movery, D.C./Nelson, R.R. (Ed.): The Oxford Handbook of Innovation, Oxford, pp. 433-458.

    Google Scholar 

  68. Miles, J.C./Walker, A.J. (2006): The Potential Application of Artificial Intelligence in Transport, in: IEE Proceedings – Intelligent Transport Systems, Vol. 153, No. 3, pp. 183-198.

    Google Scholar 

  69. Mogaji, E./Soetan, T.O./Kieu, T.A. (2020): The Implications of Artificial Intelligence on the Digital Marketing of Financial Services to Vulnerable Customers, in: Australasian Marketing Journal, Forthcoming, pp. 1-8.

    Google Scholar 

  70. Möller, S./Engelbrecht, K.P./Schleicher, R. (2008): Predicting the Quality and Usability of Spoken Dialogue Services, in: Speech Communication, Vol. 50, No. 8-9, pp. 730-744.

    Google Scholar 

  71. Mongeon, P./Paul-Hus, A. (2016): The Journal Coverage of Web of Science and Scopus – A Comparative Analysis, in: Scientometrics, Vol. 106, No. 1, pp. 213-228.

    Google Scholar 

  72. Moriuchi, E./Landers, V.M./Colton, D./Hair, N. (2020): Engagement with Chatbots Versus Augmented Reality Interactive Technology in E-Commerce, in: Journal of Strategic Marketing, Forthcoming, pp. 1-15.

    Google Scholar 

  73. Mulvey, J.M. (2017): Machine Learning and Financial Planning, in: IEEE Potentials, Vol. 36, No. 6, pp. 8-13.

    Google Scholar 

  74. Nourinejad, M./Roorda, M.J. (2015): Carsharing Operations Policies – A Comparison between One-Way and Two-Way Systems, in: Transportation, Vol. 42, No. 3, pp. 497-518.

    Google Scholar 

  75. Pacciani, C. (2018): Rewiring the Risk Society – How Society Changes Will Reshape Financial Risk Management, in: Journal of Risk Management in Financial Institutions, Vol. 11, No. 2, pp. 96-108.

    Google Scholar 

  76. Palmié, M./Wincent, J./Parida, V./Caglar, U. (2020): The Evolution of the Financial Technology Ecosystem – An Introduction and Agenda for Future Research on Disruptive Innovations in Ecosystems, in: Technological Forecasting and Social Change, Vol. 151, No. 2, pp. 1-36.

    Google Scholar 

  77. Paluch, S./Wirtz, J. (2020): Artificial Intelligence and Robots in the Service Encounter, in: Journal of Service Management Research, Vol. 4, No. 1, pp. 3-8.

    Google Scholar 

  78. Park, S. (2020): Multifaceted Trust in Tourism Service Robots, in: Annals of Tourism Research, Vol. 81, No. 3, pp. 1-12.

    Google Scholar 

  79. Parvez, M.O. (2020): Use of Machine Learning Technology for Tourist and Organizational Services – High-Tech Innovation in the Hospitality Industry, in: Journal of Tourism Futures, Forthcoming, pp. 1-5.

    Google Scholar 

  80. Peng, M./Qin, Y./Tang, C./Deng, X. (2016): An E-Commerce Customer Service Robot Based on Intention Recognition Model, in: Journal of Electronic Commerce in Organizations, Vol. 14, No. 1, pp. 34-44.

    Google Scholar 

  81. Pettenati, M.C./Bussotti, P./Parlanti, D./Giuli, D. (2008): Trust-Enabling Decision Support System for E-Tourism Intermediation, in: International Journal of Networking and Virtual Organisations, Vol. 5, No. 3-4, pp. 275-299.

    Google Scholar 

  82. Prakash, S./Soni, G./Rathore, A.P.S. (2017): A Critical Analysis of Supply Chain Risk Management Content – A Structured Literature Review, in: Journal of Advances in Management Research, Vol. 14, No. 1, pp. 69-90.

    Google Scholar 

  83. Prem, E. (2019): Artificial Intelligence for Innovation in Austria, in: Technology Innovation Management Review, Vol. 9, No. 12, pp. 5-15.

    Google Scholar 

  84. Prentice, C./Dominique Lopes, S./Wang, X. (2020): The Impact of Artificial Intelligence and Employee Service Quality on Customer Satisfaction and Loyalty, in: Journal of Hospitality Marketing and Management, Vol. 29, No. 7, pp. 739-756.

    Google Scholar 

  85. Prentice, C./Nguyen, M. (2020): Engaging and Retaining Customers with AI and Employee Service, in: Journal of Retailing and Consumer Services, Vol. 56, No. 9, pp. 1-13.

    Google Scholar 

  86. Przegalinska, A./Ciechanowski, L./Stroz, A./Gloor, P./Mazurek, G. (2019): In Bot We Trust – A New Methodology of Chatbot Performance Measures, in: Business Horizons, Vol. 62, No. 6, pp. 785-797.

    Google Scholar 

  87. Renjith, S./Sreekumar, A./Jathavedan, M. (2020): An Extensive Study on the Evolution of Context-Aware Personalized Travel Recommender Systems, in: Information Processing and Management, Vol. 57, No. 1, pp. 1-19.

    Google Scholar 

  88. Riikkinen, M./Saarijärvi, H./Sarlin, P./Lähteenmäki, I. (2018): Using Artificial Intelligence to Create Value in Insurance, in: International Journal of Bank Marketing, Vol. 36, No. 6, pp. 1145-1168.

    Google Scholar 

  89. Robinson, S./Orsingher, C./Alkire, L./De Keyser, A./Giebelhausen, M./Papamichail, K.N./Shams, P./Temerak, M.S. (2019): Frontline Encounters of the AI Kind – An Evolved Service Encounter Framework, in: Journal of Business Research, Vol. 116, No. 8, pp. 366-376.

    Google Scholar 

  90. Samala, N./Katkam, B.S./Bellamkonda, R.S./Rodriguez, R.V. (2020): Impact of AI and Robotics in the Tourism Sector – A Critical Insight, in: Journal of Tourism Futures, Forthcoming, pp. 1-15.

    Google Scholar 

  91. Sampson, S.E./Chase, R.B. (2020): Customer Contact in a Digital World, in: Journal of Service Management, Vol. 31, No. 6, pp. 1061-1069.

    Google Scholar 

  92. Sanny, L./Susastra, A.C./Roberts, C./Yusramdaleni, R. (2020): The Analysis of Customer Satisfaction Factors Which Influence Chatbot Acceptance in Indonesia, in: Management Science Letters, Vol. 10, No. 6, pp. 1225-1232.

    Google Scholar 

  93. Schmitt, B. (2020): Speciesism – An Obstacle to AI and Robot Adoption, in: Marketing Letters, Vol. 31, No. 1, pp. 3-6.

    Google Scholar 

  94. Shakya, S./Chin, C.M./Owusu, G. (2010): An AI-Based System for Pricing Diverse Products and Services, in: Knowledge-Based Systems, Vol. 23, No. 4, pp. 357-362.

    Google Scholar 

  95. Shanmuganathan, M. (2020): Behavioural Finance in an Era of Artificial Intelligence – Longitudinal Case Study of Robo-Advisors in Investment Decisions, in: Journal of Behavioral and Experimental Finance, Vol. 27, No. 9, pp. 1-9.

    Google Scholar 

  96. Singh, J./Nambisan, S./Bridge, R.G./Brock, J.K.U. (2020): One-Voice Strategy for Customer Engagement, in: Journal of Service Research, Vol. 24, No. 1, pp. 42-65.

    Google Scholar 

  97. Smole, D./Čeh, M./Podobnikar, T. (2011): Evaluation of Inductive Logic Programming for Information Extraction from Natural Language Texts to Support Spatial Data Recommendation Services, in: International Journal of Geographical Information Science, Vol. 25, No. 11, pp. 1809-1827.

    Google Scholar 

  98. Söderlund, M. (2020): Employee Encouragement of Self-Disclosure in the Service Encounter and Its Impact on Customer Satisfaction, in: Journal of Retailing and Consumer Services, Vol. 53, No. 1, pp. 1-9.

    Google Scholar 

  99. Thorne, C. (2017): Chatbots for Troubleshooting – A Survey, in: Language and Linguistics Compass, Vol. 11, No. 10, pp. 1-14.

    Google Scholar 

  100. Trivedi, J. (2019): Examining the Customer Experience of Using Banking Chatbots and Its Impact on Brand Love – The Moderating Role of Perceived Risk, in: Journal of Internet Commerce, Vol. 18, No. 1, pp. 91-111.

    Google Scholar 

  101. Tuarob, S./Strong, R./Chandra, A./Tucker, C.S. (2018): Discovering Discontinuity in Big Financial Transaction Data, in: ACM Transactions on Management Information Systems, Vol. 9, No. 1, pp. 3.

    Google Scholar 

  102. Tussyadiah, I. (2020): A Review of Research into Automation in Tourism – Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism, in: Annals of Tourism Research, Vol. 81, No. 3, pp. 1-13.

    Google Scholar 

  103. van Thiel, D./van Raaij, W.F.F. (2019): Artificial Intelligence Credit Risk Prediction – An Empirical Study of Analytical Artificial Intelligence Tools for Credit Risk Prediction in a Digital Era, in: Journal of Risk Management in Financial Institutions, Vol. 12, No. 3, pp. 268-286.

    Google Scholar 

  104. Velaga, N.R./Rotstein, N.D./Oren, N./Nelson, J.D./Norman, T.J./Wright, S. (2012): Development of an Integrated Flexible Transport Systems Platform for Rural Areas Using Argumentation Theory, in: Research in Transportation Business and Management, Vol. 3, No. 1, pp. 62-70.

    Google Scholar 

  105. Villarroel Ordenes, F./Zhang, S. (2019): From Words to Pixels – Text and Image Mining Methods for Service Research, in: Journal of Service Management, Vol. 30, No. 5, pp. 593-620.

    Google Scholar 

  106. Wang, W./Siau, K. (2019): Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work and Future of Humanity – A Review and Research Agenda, in: Journal of Database Management, Vol. 30, No. 1, pp. 61-79.

    Google Scholar 

  107. West, E. (2019): Amazon – Surveillance as a Service, in: Surveillance and Society, Vol. 17, No. 1, pp. 27-33.

    Google Scholar 

  108. Wilson-Nash, C./Goode, A./Currie, A. (2020): Introducing the Socialbot – A Novel Touchpoint Along the Young Adult Customer Journey, in: European Journal of Marketing, Forthcoming, pp. 1-23.

    Google Scholar 

  109. Wirtz, J. (2019): Organizational Ambidexterity – Cost-Effective Service Excellence, Service Robots, and Artificial Intelligence, in: Organizational Dynamics, Vol. 49, No. 3, pp. 1-10.

    Google Scholar 

  110. Wirtz, J./Patterson, P.G./Kunz, W.H./Gruber, T./Lu, V.N./Paluch, S./Martins, A. (2018): Brave New World – Service Robots in the Frontline, in: Journal of Service Management, Vol. 29, No. 5, pp. 907-931.

    Google Scholar 

  111. Woodard, D./Nogin, G./Koch, P./Racz, D./Goldszmidt, M./Horvitz, E. (2017): Predicting Travel Time Reliability Using Mobile Phone GPS Data, in: Transportation Research Part C: Emerging Technologies, Vol. 75, No. 1, pp. 30-44.

    Google Scholar 

  112. Xu, X./Li, K./Li, X. (2016): A Multi-Objective Subway Timetable Optimization Approach with Minimum Passenger Time and Energy Consumption, in: Journal of Advanced Transportation, Vol. 50, No. 1, pp. 69-95.

    Google Scholar 

  113. Xu, Y./Shieh, C.H./van Esch, P./Ling, I.L. (2020): AI Customer Service – Task Complexity, Problem-Solving Ability, and Usage Intention, in: Australasian Marketing Journal, Forthcoming, pp. 1-11.

    Google Scholar 

  114. Yang, C.C./Yen, J./Chen, H. (2000): Intelligent Internet Searching Agent Based on Hybrid Simulated Annealing, in: Decision Support Systems, Vol. 28, No. 3, pp. 269-277.

    Google Scholar 

  115. Yang, G./Ji, G./Tan, K.H. (2020a): Impact of Artificial Intelligence Adoption on Online Returns Policies, in: Annals of Operations Research, Forthcoming, pp. 1-24.

    Google Scholar 

  116. Yang, Y./Cooper, D./Collomosse, J./Dragan, C./Manulis, M./Briggs, J./Steane, J./Manohar, A./Moncur, W./Jones, H. (2020b): Tapestry – A De-Centralized Service for Trusted Interaction Online, in: IEEE Transactions on Services Computing, Forthcoming, pp. 1-14.

    Google Scholar 

  117. Yoon, S.N./Lee, D.H. (2019): Artificial Intelligence and Robots in Healthcare – What Are the Success Factors for Technology-Based Service Encounters?, in: International Journal of Healthcare Management, Vol. 12, No. 3, pp. 218-225.

    Google Scholar 

  118. Zeinalizadeh, N./Shojaie, A.A./Shariatmadari, M. (2015): Modeling and Analysis of Bank Customer Satisfaction Using Neural Networks Approach, in: International Journal of Bank Marketing, Vol. 33, No. 6, pp. 717-732.

    Google Scholar 

  119. Zeithaml, V.A./Parasuraman, A./Berry, L.L. (1985): Problems and Strategies in Services Marketing, in: Journal of Marketing Analytics, Vol. 49, No. 2, pp. 33-46.

    Google Scholar 

  120. Zheng, W./Liao, Z./Lin, Z. (2020): Navigating through the Complex Transport System – A Heuristic Approach for City Tourism Recommendation, in: Tourism Management, Vol. 81, No. 12, pp. 1-14.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maria Madlberger .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Madlberger, M. (2021). Artificial Intelligence in the B2C Service Sector – A Literature Review. In: Bruhn, M., Hadwich, K. (eds) Künstliche Intelligenz im Dienstleistungsmanagement. Forum Dienstleistungsmanagement. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-34326-2_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-34326-2_2

  • Published:

  • Publisher Name: Springer Gabler, Wiesbaden

  • Print ISBN: 978-3-658-34325-5

  • Online ISBN: 978-3-658-34326-2

  • eBook Packages: Business and Economics (German Language)

Publish with us

Policies and ethics