Research & Sources
Our guides are grounded in peer-reviewed research. This is the full bibliography of the academic literature on B2B sales, artificial intelligence, and management that informs them, cited in APA format.
111 references · listed alphabetically
- Abrahamson, E. (1996). Management fashion. Academy of Management Review, 21(1), 254–285. doi.org/10.2307/258636
- Agnihotri, R., Chaker, N. N., Dugan, R., Galvan, J. M., & Nowlin, E. (2023). Sales technology research: A review and future research agenda. Journal of Personal Selling & Sales Management, 43(4), 307–335. doi.org/10.1080/08853134.2023.2260108
- Ahearne, M., Atefi, Y., Lam, S. K., & Pourmasoudi, M. (2022). The future of buyer–seller interactions: A conceptual framework and research agenda. Journal of the Academy of Marketing Science, 50(1), 22–45. doi.org/10.1007/s11747-021-00803-0
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- Alamäki, A., & Korpela, P. (2021). Digital transformation and value-based selling activities in business-to-business sales. Industrial Marketing Management, 98, 44–55.
- Alavi, S., & Habel, J. (2021). The human side of digital transformation in sales: Review & future paths. Journal of Personal Selling & Sales Management, 41(2), 83–86.
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- Bauer, C., Galvan, J. M., Hancock, T., Hunter, G. K., Nelson, C. A., Riley, J., & Tanner, E. C. (2024). Integrating technology within the sales-service ecosystem: The emergent sales techno-ecosystem. European Journal of Marketing, 58(3), 782–811. doi.org/10.1108/EJM-04-2023-0221
- Beeler, L., et al. (2022). Natural language processing in sales: A review and research agenda. Journal of Personal Selling & Sales Management, 42(1), 15–32.
- Ben-David, I., Graham, J. R., & Harvey, C. R. (2013). Managerial miscalibration. The Quarterly Journal of Economics, 128(4), 1547–1584.
- Bloom, N., Eifert, B., Mahajan, A., McKenzie, D., & Roberts, J. (2013). Does management matter? Evidence from India. The Quarterly Journal of Economics, 128(1), 1–51.
- Bloom, N., Genakos, C., Sadun, R., & Van Reenen, J. (2012). Management practices across firms and countries. Academy of Management Perspectives, 26(1), 12–33.
- Bodrožić, Z., & Adler, P. S. (2018). The evolution of management models: A neo-Schumpeterian theory. Administrative Science Quarterly, 63(1), 85–129. doi.org/10.1177/0001839217704811
- Bridgman, T., Cummings, S., & Ballard, J. A. (2019). Who built Maslow’s pyramid? A history of the creation of management studies’ most famous symbol and its implications for management education. Academy of Management Learning & Education, 18(1), 81–98.
- Brown, T. (2021). Artificial intelligence and machine learning in modern business. Technology & Innovation Review, 14(2), 45–60.
- Bush, V. D., et al. (2010). Ethical conduct in B2B social selling. Journal of Business Ethics, 95(1), 35–49.
- Byington, E. K., & Felps, W. (2017). Solutions to the credibility crisis in management science. Academy of Management Learning & Education, 16(1), 142–162.
- Castelo, N., Bos, M. W., & Lehmann, D. R. (2019). Task-dependent algorithm aversion. Journal of Marketing Research, 56(5), 809–825.
- Chaker, N. N., et al. (2022). Inside sales versus outside sales: An empirical investigation. Industrial Marketing Management, 102, 111–125.
- Chatterjee, A., & Hambrick, D. C. (2007). It’s all about me: Narcissistic chief executive officers and their effects on company strategy and performance. Administrative Science Quarterly, 52(3), 351–386.
- Chatterjee, S., Chaudhuri, R., & Vrontis, D. (2021). Adoption of artificial intelligence-integrated CRM systems in agile organizations in India. Technological Forecasting & Social Change, 168, 120873.
- Chatterjee, S., Chaudhuri, R., Vrontis, D., & Kadić-Maglajlić, S. (2023). Adoption of AI-integrated partner relationship management (AI-PRM) in B2B sales channels: Exploratory study. Industrial Marketing Management, 109, 164–173. doi.org/10.1016/j.indmarman.2022.12.014
- Chen, Y., & Zhou, L. (2022). AI-driven sales management: Optimization and forecasting. Journal of Business Research, 140, 25–39.
- Corley, K. G., & Gioia, D. A. (2011). Building theory about theory building: What constitutes a theoretical contribution? Academy of Management Review, 36(1), 12–32. doi.org/10.5465/amr.2009.0486
- Dane, E., & Pratt, M. G. (2007). Exploring intuition and its role in managerial decision making. Academy of Management Review, 32(1), 33–54.
- Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. doi.org/10.1007/s11747-019-00696-0
- Denrell, J., & Fang, C. (2010). Predicting the next big thing: Success as a signal of poor judgment. Management Science, 56(10), 1653–1667.
- Deveau, M., et al. (2023). Generative AI and sales enablement. Journal of Marketing Technology, 8(2), 44–59.
- Dickie, J., et al. (2022). Prospecting automation through artificial intelligence. Journal of Personal Selling & Sales Management, 42(3), 200–215.
- Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015). Algorithm aversion: People erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, 144(1), 114–126.
- Dietvorst, B. J., Simmons, J. P., & Massey, C. (2018). Overcoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them. Management Science, 64(4), 1155–1170.
- Dixon, A. L., & Tanner, J. F. (2012). Transforming selling: Why it is time to think differently about sales research. Journal of Personal Selling & Sales Management, 32(1), 9–13.
- Dong, M., Yakura, H., Sherif, O., Bonnefon, J.-F., & Rahwan, I. (2025). Shadow AI thrives under punitive social evaluation [Preprint]. SSRN. doi.org/10.2139/ssrn.5410403
- Dubinsky, A. J. (1981). A factor analytic study of the personal selling process. Journal of Personal Selling & Sales Management, 1(1), 26–33.
- Dwivedi, Y. K., et al. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 157, 101994.
- Ederer, F., & Manso, G. (2013). Is pay for performance detrimental to innovation? Management Science, 59(7), 1496–1513. doi.org/10.1287/mnsc.1120.1683
- Elhajjar, S., Yacoub, L., & Ouaida, F. (2024). The present and future of the B2B sales profession. Journal of Personal Selling & Sales Management, 44(2), 128–141. doi.org/10.1080/08853134.2023.2183214
- Fang, C., Lee, J., & Schilling, M. A. (2010). Balancing exploration and exploitation through structural design: The isolation of subgroups and organizational learning. Organization Science, 21(3), 625–642. doi.org/10.1287/orsc.1090.0468
- Fehrenbach, D., Herrando, C., & Österle, B. (2025). Artificial intelligence applications in the B2B sales funnel. Journal of Business-to-Business Marketing, 33(1). doi.org/10.1080/1051712X.2025.2481374
- Fischer, H., Seidenstricker, S., Berger, T., & Holopainen, T. (2022). Artificial intelligence in B2B sales: Impact on the sales process. In T. Ahram & R. Taiar (Eds.), Human factors in communication of design (AHFE 2022) (Vol. 28, pp. 135–142). AHFE International. doi.org/10.54941/ahfe1001456
- Fischer, H., Seidenstricker, S., & Poeppelbuss, J. (2023). The triggers and consequences of digital sales: A systematic literature review. Journal of Personal Selling & Sales Management, 43(4), 264–281. doi.org/10.1080/08853134.2022.2102029
- García-Peñalvo, F. J., & Vázquez-Ingelmo, A. (2023). What do we mean by GenAI? A systematic mapping of the evolution, trends, and techniques. International Journal of Interactive Multimedia and Artificial Intelligence, 8(4), 7–16.
- Gartner. (2020). The Future of Sales in 2025: A Gartner Trend Insight Report. Gartner Research.
- Gavin, M., et al. (2020). Virtual selling during the pandemic. Harvard Business Review, 98(4), 22–26.
- Giovannetti, M., Cardinali, S., & Sharma, P. (2021). Sales technology and salespeople’s ambidexterity: An ecosystem approach. Journal of Business & Industrial Marketing, 36(4), 615–629. doi.org/10.1108/JBIM-01-2020-0034
- Goel, A., Baliga, A. J., Rangarajan, D., & Lussier, B. (2025). Technology use in B2B sales: Examining the extant literature and identifying future research opportunities using morphological analysis. Journal of Personal Selling & Sales Management, 45(1), 82–98. doi.org/10.1080/08853134.2024.2362684
- Guenzi, P., & Habel, J. (2020). Mastering the digital transformation of sales. California Management Review, 62(4), 57–85.
- Habel, J., et al. (2023). Sales analytics and artificial intelligence. Industrial Marketing Management, 108, 223–238.
- Haas, M. R. (2010). The double-edged swords of autonomy and external knowledge: Analyzing team effectiveness in a multinational organization. Academy of Management Journal, 53(5), 989–1008. doi.org/10.5465/amj.2010.54533180
- Hambrick, D. C. (2007). The field of management’s devotion to theory: Too much of a good thing? Academy of Management Journal, 50(6), 1346–1352.
- Houdek, P. (2016). What comes to a manager’s mind: Theory of local thinking. Journal of Management Inquiry, 25(4), 359–366.
- Haag, S., Eckhardt, A., & Schwarz, A. (2019). The acceptance of justifications among shadow IT users and nonusers: An empirical analysis. Information & Management, 56(5), 731–741. doi.org/10.1016/j.im.2018.11.006
- Hambrick, D. C. (2007). Upper echelons theory: An update. Academy of Management Review, 32(2), 334–343. doi.org/10.5465/amr.2007.24345254
- Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50.
- Huising, R. (2019). To hive or to hold? Producing professional authority through scut work. Administrative Science Quarterly, 64(2), 263–300.
- Kerr, S. (1975). On the folly of rewarding A, while hoping for B. Academy of Management Journal, 18(4), 769–783.
- King, S. (2012). Predictive analytics and the B2B sales pipeline. Journal of Direct Marketing, 26(3), 11–23.
- Kshetri, N., et al. (2023). Generative AI in business contexts. IT Professional, 25(2), 34–41.
- Lauzi, E., et al. (2023). Sales enablement systems and their impact on performance. Journal of Business-to-Business Marketing, 30(2), 145–162.
- Ledro, E., et al. (2022). Artificial intelligence in customer relationship management: Literature review and future research directions. Journal of Business & Industrial Marketing, 37(11), 2218–2234. doi.org/10.1108/JBIM-07-2021-0332
- Lee, I., & Shin, Y. J. (2020). Machine learning for enterprises: Applications, algorithm selection, and challenges. Business Horizons, 63(2), 157–170.
- Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96.
- Luo, X., Qin, M. S., Fang, Z., & Qu, Z. (2021). Artificial intelligence coaches for sales agents: Caveats and solutions. Journal of Marketing, 85(2), 14–32.
- Ma, L., & Sun, B. (2020). Machine learning and AI in marketing: Connecting computing power to human insights. International Journal of Research in Marketing, 37(3), 481–504.
- Liu, Y., Sheng, F., & Liu, R. (2025). Generative AI adoption and employee outcomes: A conservation of resources perspective on job crafting, career commitment, and the moderating role of liking of AI. Humanities and Social Sciences Communications, 12, 1376. doi.org/10.1057/s41599-025-05656-4
- Lüscher, L. S., & Lewis, M. W. (2008). Organizational change and managerial sensemaking: Working through paradox. Academy of Management Journal, 51(2), 221–240. doi.org/10.5465/amj.2008.31767217
- Malmendier, U., & Tate, G. (2005). CEO overconfidence and corporate investment. The Journal of Finance, 60(6), 2661–2700.
- Manis, K. T., & Madhavaram, S. (2023). AI and marketing strategy. Journal of Business Research, 155, 113398.
- Martin, K. D., Borah, A., & Palmatier, R. W. (2017). Data privacy: Effects on customer and firm performance. Journal of Marketing, 81(1), 36–58.
- Mattila, M., Yrjölä, M., & Hautamäki, P. (2021). Digital transformation of business-to-business sales: What needs to be unlearned? Journal of Personal Selling & Sales Management, 41(2), 113–129. doi.org/10.1080/08853134.2021.1916396
- McClure, C. E., Epler, R. T., Schmitt, L., & Rangarajan, D. (2024). AI in sales: Laying the foundations for future research. Journal of Personal Selling & Sales Management, 44(2), 108–127. doi.org/10.1080/08853134.2024.2329905
- Meckler, M., & Boal, K. (2020). Decision errors, organizational iatrogenesis, and errors of the seventh kind. Academy of Management Perspectives, 34(2), 266–284.
- Micallef, S., Keränen, J., & Kokshagina, O. (2023). Understanding the consequences of digital technology use in sales: Multilevel tensions inside sales organizations. Journal of Personal Selling & Sales Management, 43(4), 305–324. doi.org/10.1080/08853134.2022.2159422
- MIT Technology Review Insights. (2020). The global AI agenda: Promise, reality, and the future of business. MIT Technology Review.
- Moncrief, W. C. (2017). Are sales as we know it dying … or merely transforming? Journal of Personal Selling & Sales Management, 37(4), 271–279. doi.org/10.1080/08853134.2017.1386110
- Monod, E., Watson-Manheim, M. B., Qi, J., Joyce, E., Mayer, A., & Santoro, F. (2023). (Un)intended consequences of AI sales assistants: Cases of value sensitive design conflicts in China. Journal of Computer Information Systems, 63(2), 436–448. doi.org/10.1080/08874417.2022.2067794
- O’Boyle, E. H., Banks, G. C., & Gonzalez-Mulé, E. (2017). The chrysalis effect: How ugly initial submissions morph into beautiful articles. Journal of Management, 43(1), 71–105. doi.org/10.1177/0149206314527133
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