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Session 2 New Directions in Selling



Session 2 New Directions in Selling The Role of Costly Signals in BOP Markets

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  1. Authors
    Fahad Mansoor Pasha phd17fp@mail.wbs.ac.uk
    Prof. Nick Lee Nick.Lee@wbs.ac.uk
    Dr. Magda Hassan magda.hassan@manchester.ac.uk


    • ABSTRACT
      Bottom of the Pyramid (BOP) markets cater to the needs of over 4 billion impoverished people in developing and low-income countries (Prahalad, 2006 & Sheth, 2011). In these markets, Adverse Selection (Rao and Mahi, 2003 & Heide, 2003) – a type of Information asymmetry - is one of the biggest market inefficiencies (Prahalad, 2006, Akerlof, 1970 & Heide, 2003). To resolve adverse selection, the buyer can only infer the true quality from signals – extrinsic cues that carry information (Kirmani and Rao, 2000) and create a separating equilibrium between low and high quality sellers (Spence, 1973) – that are provided by the sellers.
      To eliminate adverse selection, institutions - such as product guarantees and brand names - are present in developed economies that ensure buyers of some expected utility and shift risk towards sellers. However, such institutions are extremely rare in BOP markets (London and Hart, 2004). Yet, despite the prevalence of information asymmetry (Prahalad, 2006), low-confidence in product quality (Karnani, 2007) and absence of institutions to reduce information asymmetry Akerlof (1970), BOP markets do not seem to fail - contrary to what Akerlof (1970) suggested. This raises a number of questions. Most importantly, are signals in use in the BOP markets that reduce information asymmetry? Are these signals different from those used in the developed economies?
      Using results from a field study in a Pakistani cattle market, data on 1,073 purchases was recorded over 10 trading sessions over 10 weeks through dyadic level surveys of both the buyers and sellers after they made a purchase. Using these results, we will empirically analyze the role
      of signals in achieving two of the most important seller outcomes (Akerlof, 1970): (A) reducing perceived purchase risk for buyers and (B) increasing pay-offs for sellers.
      The regression results in model 1 (Table 1) using robust standard errors show that for (A) the impact of signals in reducing purchase risk, (1) using auction method to state prices decreases purchase risk, (2) the more times the buyer and seller meet at the same shed/location over time, even if they meet sometimes at the same location (versus always or never), a decrease in purchase risk is observed, (3) visible investments in product care in the form of feeding large amounts of fodder to animals decreases purchase risk and (4) not sharing information on competitors’ product quality increases the risk of purchase. (5) Contrary to our hypothesis, not offering LPGs decreases purchase risk. The results for (B) the impact of signals in increasing seller pay-offs (model 2, Table 1) show that (1) longer buyer-seller relationship duration and (2) increasing % of purchase price allowed to be repaid later (payments on credit) leads to an increase in price (i.e. higher pay-offs). All other hypotheses in the signalling framework are rejected The results show that signals that generate social, time and short term financial costs for the seller reduce buyer purchase risk, while signals that create long term financial costs for the seller increase seller pay-offs.
      Appendix may be viewed in attached pdf - it does not convert to this forum's format.

      REFERENCES
       Akerlof, G.A., 1970. The market for" lemons": quality uncertainty and the market mechanism. The Quarterly Journal of Economics, 84(3), pp.488-500.
       Biswas, A., Dutta, S. and Pullig, C., 2006. Low price guarantees as signals of lowest price: The moderating role of perceived price dispersion. Journal of Retailing, 82(3), pp.245-257.
       Dutta, S. and Biswas, A., 2005. Effects of low price guarantees on consumer post-purchase search intention: The moderating roles of value consciousness and penalty level. Journal of Retailing, 81(4), pp.283-291.
       Heide, J.B., 2003. Plural governance in industrial purchasing. Journal of Marketing, 67(4), pp.18-29.
       Ho-Dac, N.N., Carson, S.J. and Moore, W.L., 2013. The effects of positive and negative online customer reviews: do brand strength and category maturity matter?. Journal of Marketing, 77(6), pp.37-53.
       Karnani, A., 2007. The mirage of marketing to the bottom of the pyramid: How the private sector can help alleviate poverty. California management review, 49(4), pp.90-111.
       Kirmani, A. and Rao, A.R., 2000. No pain, no gain: A critical review of the literature on signaling unobservable product quality. Journal of marketing, 64(2), pp.66-79.
       Linktest, stata.com, https://www.stata.com/manuals13/rlinktest.pdf
       London, T. and Hart, S.L., 2004. Reinventing strategies for emerging markets: beyond the transnational model. Journal of international business studies, 35(5), pp.350-370.
       Prahalad, C.K., 2006. The Fortune at the Bottom of the Pyramid. Pearson Education India.
       Rao, A.R. and Mahi, H., 2003. The price of launching a new product: Empirical evidence on factors affecting the relative magnitude of slotting allowances. Marketing Science, 22(2), pp.246-268.
       Sheth, J.N., 2011. Impact of emerging markets on marketing: Rethinking existing perspectives and practices. Journal of Marketing, 75(4), pp.166-182.
       Spence, M., 1973. Job Market Signaling. The Quarterly Journal of Economics, 87(3), pp.355-374.
       Swait, J. and Erdem, T., 2007. Brand effects on choice and choice set formation under uncertainty. Marketing science, 26(5), pp.679-697.
     
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