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Adapting influence approaches to informed consumers in high-involvement purchases: are salespeople really doomed?

  • Original Empirical Research
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Abstract

The availability of information and variety of online purchase options are increasing for consumers shopping for complex products (e.g., cars, real estate). This situation, and consumers’ resulting sense of informedness, has led many to suggest that the need for business-to-consumer (B2C) salespeople is diminishing. Yet, despite these claims, many purchases—especially those associated with high prices and, therefore, high consumer involvement—still require consumers to interact with salespeople. This interaction, between consumers (at varying levels of informedness) and B2C salespeople, is the focus of the current study. Merging theories of consumer informedness and adaptive interpersonal influence, we suggest that the interaction between salesperson influence attempts and consumer informedness plays an important role in purchase decisions. To study this notion, Study 1 matches automobile shoppers’ survey responses with objective purchase data from 480 sales interactions. Study 2 is a scenario-based experiment that investigates informedness and influence in a financial services setting. The findings of both studies suggest that understanding a consumer’s informedness, and adapting the proper influence approach to it, is critical if salespeople are to influence modern consumers’ purchase decisions and, thus, avoid irrelevancy.

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Notes

  1. We thank the anonymous review for encouraging this post hoc exploration.

References

  • Abdi, H., & Williams L.J. (2010). Tukey’s honestly significant difference (HSD) test. In Encyclopedia of research design (pp. 1–5). Thousand Oaks: Sage.

  • Ahearne, M., Lam, S. K., Mathieu, J. E., & Bolander, W. (2010). Why are some salespeople better at adapting to organizational change? Journal of Marketing, 74(3), 65–79.

    Google Scholar 

  • Alba, J. W., & Hutchinson, J. W. (2000). Knowledge calibration: what consumers know and what they think they know. Journal of Consumer Research, 27(2), 123–156.

    Google Scholar 

  • Andzulis, J. M., Panagopoulos, N. G., & Rapp, A. (2012). A review of social media and implications for the sales process. Journal of Personal Selling & Sales Management, 32(3), 305–316.

    Google Scholar 

  • Ansari, M. A., & Kapoor, A. (1987). Organizational context and upward influence tactics. Organizational Behavior and Human Decision Processes, 40(1), 39–49.

    Google Scholar 

  • Ashforth, B. E., & Kreiner, G. E. (1999). “how can you do it?”: dirty work and the challenge of constructing a positive identity. Academy of Management Review, 24(3), 413–434.

    Google Scholar 

  • Bakos, J. Y. (1997). Reducing buyer search costs: implications for electronic marketplaces. Management Science, 43(12), 1676–1692.

    Google Scholar 

  • Bolander, W., Bonney, L., & Satornino, C. (2014). Sales education efficacy examining the relationship between sales education and sales success. Journal of Marketing Education, 36(2), 169–181.

    Google Scholar 

  • Bolander, W., Satornino, C., Hughes, D. E., & Ferris, G. R. (2015). Social networks within sales organizations: their development and importance for salesperson performance. Journal of Marketing, 79(4), 1–16.

    Google Scholar 

  • Bolander, W., Dugan, R., & Jones, E. (2017). Time, change, and longidutinally emergent conditions: understanding and applying longitudinal growth modeling in sales research. Journal of Personal Selling and Sales Management, 37(2), 153–159.

    Google Scholar 

  • Bonney, L., Plouffe, C. R., & Brady, M. K. (2016). Investigations of sales representatives’ valuation of options. Journal of the Academy of Marketing Science, 44(2), 135–150.

    Google Scholar 

  • Boyle, B., Dwyer, F. R., Robicheaux, R. A., & Simpson, J. T. (1992). Influence strategies in marketing channels: measures and use in different relationship structures. Journal of Marketing Research, 29(4), 462–473.

    Google Scholar 

  • Bradford, K., Brown, S., Ganesan, S., Hunter, G., Onyemah, V., Palmatier, R., Rouziès, D., Spiro, R., Sujan, H., & Weitz, B. (2010). The embedded sales force: connecting buying and selling organizations. Marketing Letters, 21(3), 239–253.

    Google Scholar 

  • Bronnenberg, B., Kim, J. B., & Mela, C. F. (2016). Zooming in on choice: how do consumers search for cameras online? Marketing Science, 35(5), 693–712.

    Google Scholar 

  • Chakrabarty, S., Brown, G., & Widing, R. E. (2010). Closed influence tactics: do smugglers win in the long run? The Journal of Personal Selling & Sales Management, 30(1), 23–32.

    Google Scholar 

  • Churchill Jr., G. A., Ford, N. M., Hartley, S. W., & Walker Jr., O. C. (1985). The determinants of salesperson performance: a meta-analysis. Journal of Marketing Research, 22(2), 103–118.

    Google Scholar 

  • Cialdini, R. B. (2001). Harnessing the science of persuasion. Harvard Business Review, 79(9), 72–79.

    Google Scholar 

  • Cialdini, R. B. (2008). Influence: Science and practice. New York: Allyn & Bacon.

    Google Scholar 

  • Clemons, E. K., & Gao, G. (2008). Consumer informedness and diverse consumer purchasing behaviors: traditional mass-market, trading down, and trading out into the long tail. Electronic Commerce Research and Applications, 7(1), 3–17.

    Google Scholar 

  • Crittenden, V. L., Peterson, R. A., & Albaum, G. (2010). Technology and business-to-consumer selling: contemplating research and practice. The Journal of Personal Selling & Sales Management, 30(2), 103–110.

    Google Scholar 

  • Crom, J. O., & Crom, M. (2003). The sales advantage: How to get it, keep it, & sell more than ever. New York: The Free Press.

    Google Scholar 

  • Cutler, B.L., Penrod S.D., & Stuve, T.E. (1988). Juror decision making in eyewitness identification cases. Law and Human Behavior, 12(1): 41–55

  • Doney, P. M., & Cannon, J. P. (1997). An examination of the nature of trust in buyer-seller relationships. Journal of Marketing, 61(2), 35–51.

    Google Scholar 

  • Durant, R. F., & Legge, J. S. (2005). Public opinion, risk perceptions, and genetically modified food regulatory policy: reassessing the calculus of dissent among European citizens. European Union Politics, 6(2), 181–200.

    Google Scholar 

  • Dwyer, F. R., Schurr, P. H., & Oh, S. (1987). Developing buyer-seller relationships. Journal of Marketing, 51(2), 11–27.

    Google Scholar 

  • Economist. (2015). Death of a car salesman. Retreived September 26, 2018 from https://www.economist.com/business/2015/08/20/death-of-a-car-salesman.

  • Edwards, T. (2016). How digital is shaping shopping decisions. Retreived September 26, 2018 from https://www.financialexpress.com/industry/how-digital-is-shaping-shopping-decisions-epsilons-tom-edwards/354484/.

  • Evans, K. R., Kleine III, R. E., Landry, T. D., & Crosby, L. A. (2000). How first impressions of a customer impact effectiveness in an initial sales encounter. Journal of the Academy of Marketing Science, 28(4), 512–526.

    Google Scholar 

  • Evans, K. R., McFarland, R. G., Dietz, B., & Jaramillo, F. (2012). Advancing sales performance research: a focus on five underresearched topic areas. Journal of Personal Selling & Sales Management, 32(1), 89–106.

    Google Scholar 

  • Falbe, C. M., & Yukl, G. (1992). Consequences for managers of using single influence tactics and combinations of tactics. Academy of Management Journal, 35(3), 638–652.

    Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

    Google Scholar 

  • Franke, G. R., & Park, J.-E. (2006). Salesperson adaptive selling behavior and customer orientation: a meta-analysis. Journal of Marketing Research, 43(4), 693–702.

    Google Scholar 

  • Frazier, G. L., & Rody, R. C. (1991). The use of influence strategies in interfirm relationships in industrial product channels. Journal of Marketing, 55(1), 52–69.

    Google Scholar 

  • Frazier, G. L., & Summers, J. O. (1984). Interfirm influence strategies and their application within distribution channels. Journal of Marketing, 48(3), 43–55.

    Google Scholar 

  • Frazier, G. L., & Summers, J. O. (1986). Perceptions of interfirm power and its use within a Franchise Channel of distribution. Journal of Marketing Research, 23(2), 169–176.

    Google Scholar 

  • Furst, S. A., & Cable, D. M. (2008). Employee resistance to organizational change: managerial influence tactics and leader-member exchange. Journal of Applied Psychology, 93(2), 453–462.

    Google Scholar 

  • Gardial, S. F., Clemons, D. S., Woodruff, R. B., Schumann, D. W., & Burns, M. J. (1994). Comparing consumers’ recall of prepurchase and postpurchase product evaluation experiences. Journal of Consumer Research, 20(4), 548–560.

    Google Scholar 

  • Goebel, D. J., Marshall, G. W., & Locander, W. B. (2006). Getting one’s own way: an investigation of influence attempts by marketers on nonmarketing members of the firm. Journal of Business Research, 59(7), 829–837.

    Google Scholar 

  • Gonzalez, G. R., Claro, D. P., & Palmatier, R. W. (2014). Synergistic effects of relationship managers’ social networks on sales performance. Journal of Marketing, 78(1), 76–94.

    Google Scholar 

  • Grewal, D., Monroe, K. B., & Krishnan, R. (1998). The effects of price-comparison advertising on buyers’ perceptions of acquisition value, transaction value, and behavioral intentions. Journal of Marketing, 62(2), 46–59.

    Google Scholar 

  • Grewal, R., Mehta, R., & Kardes, F. R. (2004). The timing of repeat purchases of consumer durable goods: the role of functional bases of consumer attitudes. Journal of Marketing Research, 41(1), 101–115.

    Google Scholar 

  • Hale, R., & Whitlam, P. (1995). The power of personal influence. New York: McGraw-Hill Ryerson.

    Google Scholar 

  • Hall, Z. R., Ahearne, M., & Sujan, H. (2015). The importance of starting right: the influence of accurate intuition on performance in salesperson–customer interactions. Journal of Marketing, 79(3), 91–109.

    Google Scholar 

  • Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. New York: Guilford Publications.

  • Hayes, A. F., & Matthes, J. (2009). Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations. Behavior Research Methods, 41(3), 924–936.

    Google Scholar 

  • Higgins, C. A., & Judge, T. A. (2004). The effect of applicant influence tactics on recruiter perceptions of fit and hiring recommendations: a field study. Journal of Applied Psychology, 89(4), 622–632.

    Google Scholar 

  • Hochstein, W., & Bolander, W. (2017). The disruptive impact of customer engagement on the B2C sales force. In R. W. Palmatier, V. Kumar, & C. M. Harmeling (Eds.), Customer engagement marketing (pp. 203–218). Cham: Palgrave Macmillan.

  • Holmes, Y., Beitelspacher, L., Hochstein, B., & Bolander, W. (2017). “Let’s make a deal:” price outcomes and the interaction of customer persuasion knowledge and salesperson negotiation strategies. Journal of Business Research, 78, 81–92.

    Google Scholar 

  • Holthausen, R. W., & Verrecchia, R. E. (1990). The effect of informedness and consensus on price and volume behavior. The Accounting Review, 65(1), 191–208.

    Google Scholar 

  • Hu, L., & Bentler, P. (1999). Criteria for fit indices in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.

    Google Scholar 

  • Hudson, L. A., & Ozanne, J. L. (1988). Alternative ways of seeking knowledge in consumer research. Journal of Consumer Research, 14(4), 508–521.

    Google Scholar 

  • Hughes, D. E., Le Bon, J., & Rapp, A. (2013). Gaining and leveraging customer-based competitive intelligence: the pivotal role of social capital and salesperson adaptive selling skills. Journal of the Academy of Marketing Science, 41(1), 91–110.

    Google Scholar 

  • Joshi, A. W. (2010). Salesperson influence on product development: insights from a study of small manufacturing organizations. Journal of Marketing, 74(1), 94–107.

    Google Scholar 

  • Kazdin, A. E. (1977). Assessing the clinical or applied importance of behavior change through social validation. Behavior Modification, 1(4), 427–452.

    Google Scholar 

  • Keith, J. E., Jackson Jr., D. W., & Crosby, L. A. (1990). Effects of alternative types of influence strategies under different channel dependence structures. Journal of Marketing, 54(3), 30–41.

    Google Scholar 

  • Kellstedt, P. M., Zahran, S., & Vedlitz, A. (2008). Personal efficacy, the information environment, and attitudes toward global warming and climate change in the United States. Risk Analysis, 28(1), 113–126.

    Google Scholar 

  • Kelman, H. C. (1958). Compliance, identification, and internalization: three processes of attitude change. Journal of Conflict Resolution, 2(1), 51–60.

    Google Scholar 

  • Kelman, H. C. (1961). Process of opinion change. Public Opinion Quarterly, 25(2), 55–78.

    Google Scholar 

  • Kipnis, D., & Schmidt, S. M. (1988). Upward-influence styles: relationship with performance evaluations, salary, and stress. Administrative Science Quarterly, 33(4), 528–542.

    Google Scholar 

  • Kipnis, D., Schmidt, S. M., & Wilkinson, I. (1980). Intraorganizational influence tactics: explorations in getting one’s way. Journal of Applied Psychology, 65(4), 440–452.

    Google Scholar 

  • Klein, K. J., Dansereau, F., & Hall, R. J. (1994). Levels issues in theory development, data collection, and analysis. Academy of Management Review, 19(2), 195–229.

    Google Scholar 

  • Kohli, A. (1989). Determinants of influence in organizational buying: a contingency approach. Journal of Marketing, 53(3), 50–65.

    Google Scholar 

  • Kumar, K., & Beyerlein, M. (1991). Construction and validation of an instrument for measuring ingratiatory behaviors in organizational settings. Journal of Applied Psychology, 76(5), 619–627.

    Google Scholar 

  • Laaksonen, P. (1994). Consumer involvement: concepts and research. London: Routledge.

  • Labrecque, L. I., vor dem Esche, J., Mathwick, C., Novak, T. P., & Hofacker, C. F. (2013). Consumer power: evolution in the digital age. Journal of Interactive Marketing, 27(4), 257–269.

    Google Scholar 

  • Laurent, G., & Kapferer, J.-N. (1985). Measuring consumer involvement profiles. Journal of Marketing Research, 22(1), 41–53.

    Google Scholar 

  • Lee, L., & Ariely, D. (2006). Shopping goals, goal concreteness, and conditional promotions. Journal of Consumer Research, 33(1), 60–70.

    Google Scholar 

  • Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96.

    Google Scholar 

  • Li, T., Berens, G., & de Maertelaere, M. (2013). Corporate twitter channels: the impact of engagement and informedness on corporate reputation. International Journal of Electronic Commerce, 18(2), 97–126.

    Google Scholar 

  • Li, T., Kauffman, R. J., van Heck, E., Vervest, P., & Dellaert, B. G. C. (2014). Consumer informedness and firm information strategy. Information Systems Research, 25(2), 345–363.

    Google Scholar 

  • Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114–121.

    Google Scholar 

  • Marinchak, C. L. M., Forrest, E., & Hoanca, B. (2018). The impact of artificial intelligence and virtual personal assistants on marketing. In M. Khosrow-Pour (Ed.), Encyclopedia of information science and technology (pp. 5748–5756). Hershey: IGI Global.

  • Mason, C. H., & Perreault Jr., W. D. (1991). Collinearity, power, and interpretation of multiple regression analysis. Journal of Marketing Research, 28(3), 268–280.

    Google Scholar 

  • Mathwick, C., & Rigdon, E. (2004). Play, flow, and the online search experience. Journal of Consumer Research, 31(2), 324–332.

    Google Scholar 

  • McCracken, G. (1988). The long interview (Sage University Paper Series on Qualitative Research Methods, Vol. 13). Beverly Hills: Sage.

  • McFarland, R. G. (2003). Crisis of conscience: the use of coercive sales tactics and resultant felt stress in the salesperson. Journal of Personal Selling & Sales Management, 23(4), 311–325.

    Google Scholar 

  • McFarland, R. G., Challagalla, G. N., & Shervani, T. A. (2006). Influence tactics for effective adaptive selling. Journal of Marketing, 70(4), 103–117.

    Google Scholar 

  • McFarland, R. G., Bloodgood, J. M., & Payan, J. M. (2008). Supply chain contagion. Journal of Marketing, 72(2), 63–79.

    Google Scholar 

  • Microsoft (2015). Always be closing: The ABC’s of sales in the modern world.

  • Mikado, M. (2015). Four keys to selling to empowered customers. Retreived September 26, 2018 from http://blog.sellingpower.com/gg/2015/08/four-keys-for-selling-to-empowered-customers.html.

  • Mojzisch, A., Grouneva, L., & Schulz-Hardt, S. (2010). Biased evaluation of information during discussion: disentangling the effects of preference consistency, social validation, and ownership of information. European Journal of Social Psychology, 40(6), 946–956.

    Google Scholar 

  • Moncrief, W. C., & Marshall, G. W. (2005). The evolution of the seven steps of selling. Industrial Marketing Management, 34(1), 13–22.

    Google Scholar 

  • Moorman, C., Diehl, K., Brinberg, D., & Kidwell, B. (2004). Subjective knowledge, search locations, and consumer choice. Journal of Consumer Research, 31(3), 673–680.

    Google Scholar 

  • NAFA. (2016). Perspectives on annuity awareness. Retreived September 26, 2018 from https://www.looktowink.com/2016/06/perspectives-on-annuity-awareness/.

  • Nonis, S. A., Sager, J. K., & Kumar, K. (1996). Salespeople’s use of upward influence tactics (UITs) in coping with role stress. Journal of the Academy of Marketing Science, 24(1), 44–56.

    Google Scholar 

  • Payan, J. M., & McFarland, R. G. (2005). Decomposing influence strategies: argument structure and dependence as determinants of the effectiveness of influence strategies in Gaining Channel member compliance. Journal of Marketing, 69(3), 66–79.

    Google Scholar 

  • Payan, J. M., & Nevin, J. R. (2006). Influence strategy efficacy in supplier/distributor relationships. Journal of Business Research, 59(4), 457–465.

    Google Scholar 

  • Petty, R.E., & Wegener, D.T. (1999). The elaboration likelihood model: Current status and controversies. In S. Chaiken, & Y. Trope (Eds.), Dual-process theories in Social Psychology (pp. 41–73). Guilford Press.

  • Petty, R. E., Briñol, P., & Tormala, Z. L. (2002). Thought confidence as a determinant of persuasion: the self-validation hypothesis. Journal of Personality and Social Psychology, 82(5), 722–741.

    Google Scholar 

  • Plouffe, C. R., Hulland, J., & Wachner, T. (2009). Customer-directed selling behaviors and performance: a comparison of existing perspectives. Journal of the Academy of Marketing Science, 37(4), 422–439.

    Google Scholar 

  • Plouffe, C. R., Nelson, Y. H., & Beuk, F. (2013). Testing an enhanced, process-based view of the sales process. Journal of Personal Selling & Sales Management, 33(2), 141–163.

    Google Scholar 

  • Plouffe, C. R., Bolander, W., & Cote, J. A. (2014). Which influence tactics lead to sales performance? It's a matter of style. Journal of Personal Selling & Sales Management, 34(2), 141–159.

    Google Scholar 

  • Plouffe, C. R., Bolander, W., Cote, J. A., & Hochstein, B. (2016). Does the customer matter Most? Exploring strategic frontline employees’ influence of customers, the internal business team, and external business partners. Journal of Marketing, 80(1), 106–123.

    Google Scholar 

  • Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.

    Google Scholar 

  • Rackham, N. (1988). SPIN Selling. New York: McGraw-Hill.

    Google Scholar 

  • Rackham, N. (1999). The behavior of successful negotiators. Negotiation: Readings, exercises, and cases. Burr Ridge, Illinois: Irwin.

  • Rapp, A., Bachrach, D. G., Panagopoulos, N., & Ogilvie, J. (2014). Salespeople as knowledge brokers: a review and critique of the challenger sales model. Journal of Personal Selling & Sales Management, 34(4), 245–259.

    Google Scholar 

  • Richins, M. L., & Bloch, P. H. (1986). After the new wears off: the temporal context of product involvement. Journal of Consumer Research, 13(2), 280–285.

    Google Scholar 

  • Román, S., & Iacobucci, D. (2010). Antecedents and consequences of adaptive selling confidence and behavior: a dyadic analysis of salespeople and their customers. Journal of the Academy of Marketing Science, 38(3), 363–382.

    Google Scholar 

  • Schriesheim, C. A., & Hinkin, T. R. (1990). Influence tactics used by subordinates: a theoretical and empirical analysis and refinement of the Kipnis, Schmidt, and Wilkinson subscales. Journal of Applied Psychology, 75(3), 246–257.

    Google Scholar 

  • Siemsen, E., Roth, A., & Oliveira, P. (2010). Common method Bias in regression models with linear, quadratic, and interaction effects. Organizational Research Methods, 13(3), 456–476.

    Google Scholar 

  • Skrovan, S. (2017). Why researching online, shopping offline is the new norm. Retreived September 26, 2018 from https://www.retaildive.com/news/why-researching-online-shopping-offline-is-the-new-norm/442754/.

  • Slama, M. E., & Tashchian, A. (1987). Validating the S-O-R paradigm for consumer involvement with a convenience good. Journal of the Academy of Marketing Science, 15(1), 36–45.

    Google Scholar 

  • Smith, S. P., Johnston, R. B., & Howard, S. (2011). Putting yourself in the picture: an evaluation of virtual model technology as an online shopping tool. Information Systems Research, 22(3), 640–661.

    Google Scholar 

  • Sparrowe, R. T., Soetjipto, B. W., & Kraimer, M. (2006). Do leaders’ influence tactics relate to members’ helping behavior? It depends on the quality of the relationship. Academy of Management Journal, 49(6), 1194–1208.

    Google Scholar 

  • Spiro, R. L., & Perreault Jr., W. D. (1979). Influence use by industrial salesmen: influence-strategy mixes and situational determinants. Journal of Business, 52(3), 435–455.

    Google Scholar 

  • Spiro, R. L., & Weitz, B. A. (1990). Adaptive selling: conceptualization, measurement, and nomological validity. Journal of Marketing Research, 27(1), 61–69.

    Google Scholar 

  • Stevens, H., & Kinni, T. (2007). Achieve sales excellence: The 7 customer rules for becoming the new sales professional. New York: Platinum Press.

    Google Scholar 

  • Stone, D. N. (1994). Overconfidence in initial self-efficacy judgments: effects on decision processes and performance. Organizational Behavior and Human Decision Processes, 59(3), 452–474.

    Google Scholar 

  • Sujan, H., Sujan, M., & Bettman, J. R. (1988). Knowledge structure differences between more effective and less effective salespeople. Journal of Marketing Research, 25(1), 81–86.

    Google Scholar 

  • Thacker, R. A., & Wayne, S. J. (1995). An examination of the relationship between upward influence tactics and assessments of promotability. Journal of Management, 21(4), 739–756.

    Google Scholar 

  • Varadarajan, P. R. (2003). Musings on relevance and rigor of scholarly research in marketing. Journal of the Academy of Marketing Science, 31(4), 368–376.

    Google Scholar 

  • Venkatesh, R., Kohli, A. K., & Zaltman, G. (1995). Influence strategies in buying centers. Journal of Marketing, 59(4), 71–82.

    Google Scholar 

  • Verbeke, W., Dietz, B., & Verwaal, E. (2011). Drivers of sales performance: a contemporary meta-analysis. Have salespeople become knowledge brokers? Journal of the Academy of Marketing Science, 39(3), 407–428.

    Google Scholar 

  • Weitz, B., & Bradford, K. (1999). Personal selling and sales management: a relationship marketing perspective. Journal of the Academy of Marketing Science, 27(2), 241–254.

    Google Scholar 

  • Weitz, B. A., Sujan, H., & Sujan, M. (1986). Knowledge, motivation, and adaptive behavior: a framework for improving selling effectiveness. Journal of Marketing, 50(4), 174–191.

    Google Scholar 

  • Wells, G.L., Ferguson, T.J., & Lindsay, R.C. (1981). The tractability of eyewitness confidence and its implications for triers of fact. Journal of Applied Psychology, 66(6): 688–696.

  • Westbrook, R. A., & Fornell, C. (1979). Patterns of information source usage among durable goods buyers. Journal of Marketing Research, 16(3), 303–312.

    Google Scholar 

  • Wilson, A., Giebelhausen, M., & Brady, M. (2017). Negative word of mouth can be a positive for consumers connected to the brand. Journal of the Academy of Marketing Science, 45(4), 534–547.

    Google Scholar 

  • Yukl, G., & Falbe, C. M. (1990). Influence tactics and objectives in upward, downward, and lateral influence attempts. Journal of Applied Psychology, 75(2), 132–140.

    Google Scholar 

  • Yukl, G., & Tracey, J. B. (1992). Consequences of influence tactics used with subordinates, peers, and the boss. Journal of Applied Psychology, 77(4), 525–535.

    Google Scholar 

  • Yukl, G., Kim, H., & Falbe, C. M. (1996). Antecedents of influence outcomes. Journal of Applied Psychology, 81(3), 309–317.

    Google Scholar 

  • Yukl, G., Seifert, C. F., & Chavez, C. (2008). Validation of the extended influence behavior questionnaire. The Leadership Quarterly, 19(5), 609–621.

    Google Scholar 

  • Zboja, J. J., Clark, R. A., & Haytko, D. L. (2016). An offer you can’t refuse: consumer perceptions of sales pressure. Journal of the Academy of Marketing Science, 44(6), 806–821.

    Google Scholar 

  • Zoltners, A., Sinha, P. K., & Lorimer, S. (2016). Despite dire predictions, salespeople aren’t going away. Retreived September 26, 2018 from https://hbr.org/2016/03/despite-dire-predictions-salespeople-arent-going-away.

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Hochstein, B., Bolander, W., Goldsmith, R. et al. Adapting influence approaches to informed consumers in high-involvement purchases: are salespeople really doomed?. J. of the Acad. Mark. Sci. 47, 118–137 (2019). https://doi.org/10.1007/s11747-018-0609-2

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