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AI and digitalization in relationship management: Impact of adopting AI-embedded CRM system

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  • Chatterjee, Sheshadri
  • Chaudhuri, Ranjan
  • Vrontis, Demetris

Abstract

The purpose of this study is to determine the impact of adopting a artificial intelligence-embedded customer relationship management (CRM) system for business-to-business relationship management. After reviewing the literature and considering the theory, a conceptual model was developed. The model was validated using the PLS-SEM technique with 312 responses from 14 firms in the B2B context. The study finds that an AI-embedded CRM system has a significant positive impact towards B2B relationship satisfaction and firm performance. Also, the study highlights that there is a negative impact of the moderator ‘technology turbulence’ on the relations of ‘automated decision making’ and ‘operational efficiency’ with ‘B2B relationship satisfaction’, whereas there is a positive impact of moderator ‘leadership support’ on ‘B2B relationship satisfaction’ and ‘firm performance’. There is presently no study on the impact of AI-CRM in the B2B context. Also, the study contributes to the existing literature by incorporating the moderator impact of ‘technology turbulence’ and ‘leadership support’ in the context of AI-embedded CRM systems for B2B relationship management.

Suggested Citation

  • Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris, 2022. "AI and digitalization in relationship management: Impact of adopting AI-embedded CRM system," Journal of Business Research, Elsevier, vol. 150(C), pages 437-450.
    • Handle: RePEc:eee:jbrese:v:150:y:2022:i:c:p:437-450
    DOI: 10.1016/j.jbusres.2022.06.033
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    1. Harrigan, Paul & Soutar, Geoff & Choudhury, Musfiq Mannan & Lowe, Michelle, 2015. "Modelling CRM in a social media age," Australasian marketing journal, Elsevier, vol. 23(1), pages 27-37.
    2. Hair, Joe F. & Howard, Matt C. & Nitzl, Christian, 2020. "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 109(C), pages 101-110.
    3. Suoniemi, Samppa & Terho, Harri & Zablah, Alex & Olkkonen, Rami & Straub, Detmar W., 2021. "The impact of firm-level and project-level it capabilities on CRM system quality and organizational productivity," Journal of Business Research, Elsevier, vol. 127(C), pages 108-122.
    4. Al-Omoush, Khaled Saleh & Simón-Moya, Virginia & Al-ma'aitah, Mohammad Atwah & Sendra-García, Javier, 2021. "The determinants of social CRM entrepreneurship: An institutional perspective," Journal of Business Research, Elsevier, vol. 132(C), pages 21-31.
    5. Li, Suhong & Ragu-Nathan, Bhanu & Ragu-Nathan, T.S. & Subba Rao, S., 2006. "The impact of supply chain management practices on competitive advantage and organizational performance," Omega, Elsevier, vol. 34(2), pages 107-124, April.
    6. Linda Hagen & Kosuke Uetake & Nathan Yang & Bryan Bollinger & Allison J. B. Chaney & Daria Dzyabura & Jordan Etkin & Avi Goldfarb & Liu Liu & K. Sudhir & Yanwen Wang & James R. Wright & Ying Zhu, 2020. "How can machine learning aid behavioral marketing research?," Marketing Letters, Springer, vol. 31(4), pages 361-370, December.
    7. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    8. Samuelson, William & Zeckhauser, Richard, 1988. "Status Quo Bias in Decision Making," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 7-59, March.
    9. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Piccolo, Rossana, 2021. "Enterprise social network for knowledge sharing in MNCs: Examining the role of knowledge contributors and knowledge seekers for cross-country collaboration," Journal of International Management, Elsevier, vol. 27(1).
    10. Yong Kyu Lew & Rudolf R Sinkovics & Mo Yamin & Zaheer Khan, 2016. "Trans-specialization understanding in international technology alliances: The influence of cultural distance," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 47(5), pages 577-594, June.
    11. Sea-Jin Chang & Arjen van Witteloostuijn & Lorraine Eden, 2010. "From the Editors: Common method variance in international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 41(2), pages 178-184, February.
    12. Ma, Liye & Sun, Baohong, 2020. "Machine learning and AI in marketing – Connecting computing power to human insights," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 481-504.
    13. David J. Teece, 2012. "Dynamic Capabilities: Routines versus Entrepreneurial Action," Journal of Management Studies, Wiley Blackwell, vol. 49(8), pages 1395-1401, December.
    14. Rust, Roland T., 2020. "The future of marketing," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 15-26.
    15. Chidlow, Agnieszka & Ghauri, Pervez N. & Yeniyurt, Sengun & Cavusgil, S. Tamer, 2015. "Establishing rigor in mail-survey procedures in international business research," Journal of World Business, Elsevier, vol. 50(1), pages 26-35.
    16. Vermeer, Susan A.M. & Araujo, Theo & Bernritter, Stefan F. & van Noort, Guda, 2019. "Seeing the wood for the trees: How machine learning can help firms in identifying relevant electronic word-of-mouth in social media," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 492-508.
    17. Anne-Wil Harzing & Michelle Brown & Kathrin Köster & Shuming Zhao, 2012. "Response Style Differences in Cross-National Research," Management International Review, Springer, vol. 52(3), pages 341-363, June.
    18. Agnihotri, Raj & Trainor, Kevin J. & Itani, Omar S. & Rodriguez, Michael, 2017. "Examining the role of sales-based CRM technology and social media use on post-sale service behaviors in India," Journal of Business Research, Elsevier, vol. 81(C), pages 144-154.
    19. Michael Song & Cornelia Droge & Sangphet Hanvanich & Roger Calantone, 2005. "Marketing and technology resource complementarity: an analysis of their interaction effect in two environmental contexts," Strategic Management Journal, Wiley Blackwell, vol. 26(3), pages 259-276, March.
    20. Thakur, Ramendra & Angriawan, Arifin & Summey, John H., 2016. "Technological opinion leadership: The role of personal innovativeness, gadget love, and technological innovativeness," Journal of Business Research, Elsevier, vol. 69(8), pages 2764-2773.
    21. John Hulland & Hans Baumgartner & Keith Marion Smith, 2018. "Marketing survey research best practices: evidence and recommendations from a review of JAMS articles," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 92-108, January.
    22. Maxwell, Andrew L. & Jeffrey, Scott A. & Lévesque, Moren, 2011. "Business angel early stage decision making," Journal of Business Venturing, Elsevier, vol. 26(2), pages 212-225, March.
    23. Necmi K. Avkiran & Christian M. Ringle (ed.), 2018. "Partial Least Squares Structural Equation Modeling," International Series in Operations Research and Management Science, Springer, number 978-3-319-71691-6, December.
    24. Stav Fainshmidt & Amir Pezeshkan & M. Lance Frazier & Anil Nair & Edward Markowski, 2016. "Dynamic Capabilities and Organizational Performance: A Meta-Analytic Evaluation and Extension," Journal of Management Studies, Wiley Blackwell, vol. 53(8), pages 1348-1380, December.
    25. Dalla Pozza, Ilaria & Goetz, Oliver & Sahut, Jean Michel, 2018. "Implementation effects in the relationship between CRM and its performance," Journal of Business Research, Elsevier, vol. 89(C), pages 391-403.
    26. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    27. Ko, Eunju & Kim, Sook Hyun & Kim, Myungsoo & Woo, Ji Young, 2008. "Organizational characteristics and the CRM adoption process," Journal of Business Research, Elsevier, vol. 61(1), pages 65-74, January.
    28. Xueming Luo & Siliang Tong & Zheng Fang & Zhe Qu, 2019. "Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases," Marketing Science, INFORMS, vol. 38(6), pages 937-947, November.
    29. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    30. Chang, Woojung & Park, Jeong Eun & Chaiy, Seoil, 2010. "How does CRM technology transform into organizational performance? A mediating role of marketing capability," Journal of Business Research, Elsevier, vol. 63(8), pages 849-855, August.
    31. Clay M. Voorhees & Michael K. Brady & Roger Calantone & Edward Ramirez, 2016. "Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 119-134, January.
    32. Eva Ascarza & Scott A. Neslin & Oded Netzer & Zachery Anderson & Peter S. Fader & Sunil Gupta & Bruce G. S. Hardie & Aurélie Lemmens & Barak Libai & David Neal & Foster Provost & Rom Schrift, 2018. "In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 65-81, March.
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    Cited by:

    1. Demetris Vrontis & Ranjan Chaudhuri & Sheshadri Chatterjee, 2022. "Adoption of Digital Technologies by SMEs for Sustainability and Value Creation: Moderating Role of Entrepreneurial Orientation," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    2. Daniela Ioniță & Andreea Orîndaru & Marian Bratu, 2022. "CRM Software Adoption by Small Enterprises," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 189-199, November.

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