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Digitalization process of complex B2B sales processes – Enablers and obstacles

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  • Rodríguez, Rocio
  • Svensson, Göran
  • Mehl, Erik Jens

Abstract

The purpose of this study is to shed light on the extent to which salespeople use technology throughout complex B2B sales processes. The research on technology in society considers specifically which enablers and obstacles are most prominent in driving the digitalization of complex B2B sales processes. This research applies a post-positivism approach based on a qualitative design, using insights from case studies. Data collection is based on an in-depth series of interviews with salespeople in several companies, in order to collect information about the digitalization of complex B2B sales processes. Findings indicate that a complex B2B sales process is not easily digitalized. On the contrary, there are a number of hurdles to overcome. General results reported contextualize the major specific one, while the specific ones focus on enablers and obstacles in complex B2B sales processes. The research aids our understanding of the process of obtaining valid information in this context. It also helps to classify and organize different kinds of analog and digital sources and channels of information. Provides suggestions for further research. This study proposes using a mixed structure in the sales department to obtain benefits of communication technologies and to use what advantages digitalization provides. This may start by dividing digitalization process into functions and after that, using the remaining possibilities, by territory, accounts or products, depending on the company. The study reveals dimensions (indicators and context) and sub-dimensions (organizational, technological, cultural and security issues) of relevance in the digitalization of complex B2B sales process.

Suggested Citation

  • Rodríguez, Rocio & Svensson, Göran & Mehl, Erik Jens, 2020. "Digitalization process of complex B2B sales processes – Enablers and obstacles," Technology in Society, Elsevier, vol. 62(C).
  • Handle: RePEc:eee:teinso:v:62:y:2020:i:c:s0160791x19307493
    DOI: 10.1016/j.techsoc.2020.101324
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    1. Metallo, Concetta & Agrifoglio, Rocco & Schiavone, Francesco & Mueller, Jens, 2018. "Understanding business model in the Internet of Things industry," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 298-306.
    2. Wang, Victoria & Tucker, John V. & Haines, Kevin, 2012. "Phatic technologies in modern society," Technology in Society, Elsevier, vol. 34(1), pages 84-93.
    3. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
    4. Yang, L. & Yang, S.H. & Plotnick, L., 2013. "How the internet of things technology enhances emergency response operations," Technological Forecasting and Social Change, Elsevier, vol. 80(9), pages 1854-1867.
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. Yvonna S. Lincoln & Egon E. Guba, 1986. "Research, Evaluation, And Policy Analysis: Heuristics For Disciplined Inquiry," Review of Policy Research, Policy Studies Organization, vol. 5(3), pages 546-565, February.
    7. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    8. Leeflang, Peter S.H. & Verhoef, Peter C. & Dahlström, Peter & Freundt, Tjark, 2014. "Challenges and solutions for marketing in a digital era," European Management Journal, Elsevier, vol. 32(1), pages 1-12.
    9. Fox, Stephen, 2013. "The innovation big picture: Including effectiveness dependencies, efficiency dependencies, and potential negative effects within the framing of new technologies," Technology in Society, Elsevier, vol. 35(4), pages 306-314.
    10. Bayrak, Tuncay, 2013. "A decision framework for SME Information Technology (IT) managers: Factors for evaluating whether to outsource internal applications to Application Service Providers," Technology in Society, Elsevier, vol. 35(1), pages 14-21.
    11. Pullig, Chris & Maxham, James III & Hair, Joseph Jr., 2002. "Salesforce automation systems: an exploratory examination of organizational factors associated with effective implementation and salesforce productivity," Journal of Business Research, Elsevier, vol. 55(5), pages 401-415, May.
    12. Alsaad, Abdallah & Taamneh, Abdallah, 2019. "The effect of international pressures on the cross-national diffusion of business-to-business e-commerce," Technology in Society, Elsevier, vol. 59(C).
    13. Spekman, Robert E., 1988. "Strategic supplier selection: Understanding long-term buyer relationships," Business Horizons, Elsevier, vol. 31(4), pages 75-81.
    14. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    15. Michihiro Kandori, 1992. "Social Norms and Community Enforcement," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(1), pages 63-80.
    16. Kim, Suwon & Kim, Seongcheol, 2016. "A multi-criteria approach toward discovering killer IoT application in Korea," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 143-155.
    17. Yip, Man Hang & Juhola, Tomi, 2015. "Stakeholder involvement in software system development – Insights into the influence of product-service ratio," Technology in Society, Elsevier, vol. 43(C), pages 105-114.
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    2. Chang, Woojung, 2022. "The effectiveness of AI salesperson vs. human salesperson across the buyer-seller relationship stages," Journal of Business Research, Elsevier, vol. 148(C), pages 241-251.

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    More about this item

    Keywords

    Digitalization; B2B; Sales process; Enablers; Obstacles; Technology;
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