IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v153y2022icp46-58.html
   My bibliography  Save this article

Digital transformation of organization using AI-CRM: From microfoundational perspective with leadership support

Author

Listed:
  • Chatterjee, Sheshadri
  • Chaudhuri, Ranjan
  • Vrontis, Demetris
  • Jabeen, Fauzia

Abstract

Business firms are increasingly innovating their traditional business model to a technology-enabled digitalized model for their sustainability in the competitive market. Firms have already felt the necessity to embark on a digital transformation journey to sustain themselves. However, specific capabilities at the microfoundation level are needed for successfully exploiting this paradigm shift towards digital transformation. In the digital transformation journey, specific digital skills and capabilities at the microfoundational level are essential to achieve success. The psychological foundations of the employees should be aligned in favor of digitalization to successfully gain competitive advantage. Not many studies are available to understand individual capabilities and skills at the microfoundational level. In this background, the aim of this study is to investigate the role of individual capability at the microfoundational level, including the leadership role along with technology capability like an AI-enabled CRM system, towards digitalization. With the help of RBV theory and status quo bias theory, a theoretical model has been developed which was later validated using SEM technique with data of 341 respondents from different industries. The study finds that there is a significant influence of individuals’ skills and capabilities to embrace the digital transformation journey.

Suggested Citation

  • Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Jabeen, Fauzia, 2022. "Digital transformation of organization using AI-CRM: From microfoundational perspective with leadership support," Journal of Business Research, Elsevier, vol. 153(C), pages 46-58.
  • Handle: RePEc:eee:jbrese:v:153:y:2022:i:c:p:46-58
    DOI: 10.1016/j.jbusres.2022.08.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296322007019
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2022.08.019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mas, José M. & Gómez, Andrés, 2021. "Social partners in the digital ecosystem: Will business organizations, trade unions and government organizations survive the digital revolution?," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    2. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Thrassou, Alkis & Ghosh, Soumya Kanti, 2021. "Adoption of artificial intelligence-integrated CRM systems in agile organizations in India," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    3. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 81032, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Li, Wei & Liu, Zhi & Xia, Senmao & Yan, Ji & Xiong, Yu & Sakka, Georgia & Yu Li, Rebecca, 2022. "How can emerging-market SMEs domestically benefit from their performance in developed countries? Empirical evidence from China," Journal of Business Research, Elsevier, vol. 142(C), pages 200-210.
    5. Bresciani, Stefano & Ferraris, Alberto & Del Giudice, Manlio, 2018. "The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 331-338.
    6. Mishra, Anubhav & Maheswarappa, Satish S. & Maity, Moutusy & Samu, Sridhar, 2018. "Adolescent's eWOM intentions: An investigation into the roles of peers, the Internet and gender," Journal of Business Research, Elsevier, vol. 86(C), pages 394-405.
    7. Vlačić, Božidar & Corbo, Leonardo & Costa e Silva, Susana & Dabić, Marina, 2021. "The evolving role of artificial intelligence in marketing: A review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 187-203.
    8. Gunasekaran, Angappa & Papadopoulos, Thanos & Dubey, Rameshwar & Wamba, Samuel Fosso & Childe, Stephen J. & Hazen, Benjamin & Akter, Shahriar, 2017. "Big data and predictive analytics for supply chain and organizational performance," Journal of Business Research, Elsevier, vol. 70(C), pages 308-317.
    9. Rialti, Riccardo & Zollo, Lamberto & Ferraris, Alberto & Alon, Ilan, 2019. "Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    10. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    11. v. Alberti-Alhtaybat, Larissa & Al-Htaybat, Khaldoon & Hutaibat, Khalid, 2019. "A knowledge management and sharing business model for dealing with disruption: The case of Aramex," Journal of Business Research, Elsevier, vol. 94(C), pages 400-407.
    12. Samuelson, William & Zeckhauser, Richard, 1988. "Status Quo Bias in Decision Making," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 7-59, March.
    13. 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).
    14. Muninger, Marie-Isabelle & Hammedi, Wafa & Mahr, Dominik, 2019. "The value of social media for innovation: A capability perspective," Journal of Business Research, Elsevier, vol. 95(C), pages 116-127.
    15. Mekhail Mustak & Joni Salminen & Loïc Plé & Jochen Wirtz, 2021. "Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda," Post-Print hal-03269994, HAL.
    16. Chen, Ching-Fu & Chen, Fu-Shian, 2010. "Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists," Tourism Management, Elsevier, vol. 31(1), pages 29-35.
    17. Bresciani, Stefano & Ciampi, Francesco & Meli, Francesco & Ferraris, Alberto, 2021. "Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda," International Journal of Information Management, Elsevier, vol. 60(C).
    18. Westbrook, Robert A & Oliver, Richard L, 1991. "The Dimensionality of Consumption Emotion Patterns and Consumer Satisfaction," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(1), pages 84-91, June.
    19. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 82423, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    20. Sousa, Maria José & Rocha, Álvaro, 2019. "Skills for disruptive digital business," Journal of Business Research, Elsevier, vol. 94(C), pages 257-263.
    21. Mustak, Mekhail & Salminen, Joni & Plé, Loïc & Wirtz, Jochen, 2021. "Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 389-404.
    22. Jianmin Song & Senmao Xia & Demetris Vrontis & Arun Sukumar & Bing Liao & Qi Li & Kun Tian & Nengzhi Yao, 2022. "The Source of SMEs’ Competitive Performance in COVID-19: Matching Big Data Analytics Capability to Business Models," Information Systems Frontiers, Springer, vol. 24(4), pages 1167-1187, August.
    23. Borges, Aline F.S. & Laurindo, Fernando J.B. & Spínola, Mauro M. & Gonçalves, Rodrigo F. & Mattos, Claudia A., 2021. "The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions," International Journal of Information Management, Elsevier, vol. 57(C).
    24. Samuel Fosso Wamba & Angappa Gunasekaran & Rameshwar Dubey & Eric W. T. Ngai, 2018. "Big data analytics in operations and supply chain management," Annals of Operations Research, Springer, vol. 270(1), pages 1-4, November.
    25. 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.
    26. 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.
    27. 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.
    28. Reisch, Lucia A. & Zhao, Min, 2017. "Behavioural economics, consumer behaviour and consumer policy: state of the art," Behavioural Public Policy, Cambridge University Press, vol. 1(2), pages 190-206, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhi-Guang Li & Yanrui Wu & Yao-Kuang Li, 2023. "Technical Founders, Digital Transformation and Corporate Technological Innovation: Empirical Evidence from Listed Companies in China’s STAR Market," Economics Discussion / Working Papers 23-03, The University of Western Australia, Department of Economics.
    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.
    3. Levent Gun & Salih Zeki Imamoglu & Hulya Turkcan & Huseyin Ince, 2024. "Effect of Digital Transformation on Firm Performance in the Uncertain Environment: Transformational Leadership and Employee Self-Efficacy as Antecedents of Digital Transformation," Sustainability, MDPI, vol. 16(3), pages 1-17, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Sheshadri Chatterjee & Ranjan Chaudhuri & Demetris Vrontis & Adnane Maalaoui, 2023. "Internationalization of family business and its performance: examining the moderating role of digitalization and international networking capability," Review of Managerial Science, Springer, vol. 17(7), pages 2443-2470, October.
    3. Ciampi, Francesco & Faraoni, Monica & Ballerini, Jacopo & Meli, Francesco, 2022. "The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    4. Fernandez-Vidal, Jorge & Antonio Perotti, Francesco & Gonzalez, Reyes & Gasco, Jose, 2022. "Managing digital transformation: The view from the top," Journal of Business Research, Elsevier, vol. 152(C), pages 29-41.
    5. Dubey, Rameshwar & Bryde, David J. & Dwivedi, Yogesh K. & Graham, Gary & Foropon, Cyril & Papadopoulos, Thanos, 2023. "Dynamic digital capabilities and supply chain resilience: The role of government effectiveness," International Journal of Production Economics, Elsevier, vol. 258(C).
    6. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Pereira, Vijay, 2022. "Examining the industrial buying behavior in Indian market: From behavior and cultural perspective for B2B buyers and suppliers," Journal of Business Research, Elsevier, vol. 151(C), pages 86-99.
    7. Ranjan Chaudhuri & Sheshadri Chatterjee & Demetris Vrontis & Sumana Chaudhuri, 2022. "Innovation in SMEs, AI Dynamism, and Sustainability: The Current Situation and Way Forward," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    8. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Thrassou, Alkis, 2022. "SME entrepreneurship and digitalization – the potentialities and moderating role of demographic factors," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    9. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris, 2022. "Examining the role of cross-cultural factors in the international market on customer engagement and purchase intention," Journal of International Management, Elsevier, vol. 28(3).
    10. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris, 2023. "Acceptance of social robot and its challenges: From privacy calculus perspectives," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    11. Mariani, Marcello M. & Machado, Isa & Nambisan, Satish, 2023. "Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda," Journal of Business Research, Elsevier, vol. 155(PB).
    12. Zahoor, Nadia & Zopiatis, Anastasios & Adomako, Samuel & Lamprinakos, Grigorios, 2023. "The micro-foundations of digitally transforming SMEs: How digital literacy and technology interact with managerial attributes," Journal of Business Research, Elsevier, vol. 159(C).
    13. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris, 2022. "Managing knowledge in Indian Organizations: An empirical investigation to examine the moderating role of jugaad," Journal of Business Research, Elsevier, vol. 141(C), pages 26-39.
    14. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Kumar, Ajay & Aránega, Alba Yela & Biswas, Baidyanath, 2023. "Development of an integrative model for electronic vendor relationship management for improving technological innovation, social change and sustainability performance," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    15. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Gupta, Shivam & Sivarajah, Uthayasankar & Bag, Surajit, 2023. "Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    16. Wenkai Zhou & Chi Zhang & Linwan Wu & Meghana Shashidhar, 2023. "ChatGPT and marketing: Analyzing public discourse in early Twitter posts," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 693-706, December.
    17. Blanka, Christine & Krumay, Barbara & Rueckel, David, 2022. "The interplay of digital transformation and employee competency: A design science approach," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    18. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Thrassou, Alkis & Ghosh, Soumya Kanti, 2021. "Adoption of artificial intelligence-integrated CRM systems in agile organizations in India," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    19. Usai, A. & Fiano, F. & Messeni Petruzzelli, A. & Paoloni, P. & Farina Briamonte, M. & Orlando, B., 2021. "Unveiling the impact of the adoption of digital technologies on firms’ innovation performance," Journal of Business Research, Elsevier, vol. 133(C), pages 327-336.
    20. Xin Zhang & Yaoyu Xu & Liang Ma, 2022. "Research on Successful Factors and Influencing Mechanism of the Digital Transformation in SMEs," Sustainability, MDPI, vol. 14(5), pages 1-18, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:153:y:2022:i:c:p:46-58. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.