Marketing renaissance: How research in emerging markets advances marketing science and practice
Introduction
The globalization of the marketplace is one of the most important challenges facing companies today. Globalization is due to many factors including worldwide investment, production and marketing, falling national boundaries, regional unification (e.g., ASEAN, EU, NAFTA), advances in telecommunication technologies and the internet, increases in world travel, and the growth of global media (Yip, 2003). Firms cannot ignore this trend toward globalization. Even when they decide to opt out of the global marketplace, they will still face increased competition in their home markets from (local and foreign) companies reaping benefits of global strategies. Given the importance of globalization for marketing, it is not surprising that various marketing scholars and editors have urged us to study marketing issues on an international basis, rather than staying “in relative security of our own backyards” (Bolton, 2003, Dekimpe and Lehmann, 2004, Farley, 1997, Gatignon, 2000, Monroe, 1993, Steenkamp, 1998, Steenkamp, 2005, Winer, 1998).
In response to these exhortations, marketing academics have begun to devote more attention to international marketing. This research has yielded a valuable stock of theoretical and empirical findings, of which an important portion has been published in the International Journal of Research in Marketing (see Alden et al., 2006, Bijmolt et al., 2004, Cano et al., 2004, Deshpandé and Farley, 2004, Desiraju et al., 2004, Farley et al., 2004, Nunn and Sarvary, 2004, Ozsomer and Simonin, 2004, Steenkamp and ter Hofstede, 2002, Stremersch and Tellis, 2004, Van Everdingen et al., 2005, Verlegh et al., 2005 for some recent examples). It is fair to say that international marketing has become an important domain within marketing science.
However, the existing body of research suffers from an important limitation, viz., most of it has been conducted in high income, industrialized countries (HICs). Although it is understandable that researchers in our maturing discipline would initially focus on the world's most advanced economies, we believe it is paramount for the future of marketing science and practice that we conduct more research in so-called emerging markets (EMs).
Although EMs vary in human development and national income, we will focus on common characteristics that shape their institutional context and the ultimate success of marketing programs there. Institutions are “the most enduring features of social life…giving ‘solidity’ [to social systems] across time and space” (Giddens, 1984, p. 24). EM institutional contexts present significant socioeconomic, demographic, cultural, and regulative departures from the assumptions of theories developed in the Western world and challenge our conventional understanding of constructs and their relations (Wright, Filatotchev, Hoskisson, & Peng, 2005). Conceptually, this renders it less than obvious that our established theories and empirical generalizations are applicable to these markets (Steenkamp, 2005). Practically, it implies an urgent need for more research because success in EMs is crucial to the future of many of our companies. As we will argue in this article, we need to conduct more research in EMs, both to further advance marketing as an academic discipline and maintain its managerial relevance.
The remainder of this article is organized as follows. First, we briefly discuss what constitutes emerging markets. Then, we will propose a framework of marketing science as a process. Next, we will discuss the unique issues and contribution of EM research for each of the four stages of this framework. Subsequently, we elaborate on the implications of EM research for marketing practice. We will consider the content and implementation of marketing strategies. Finally, we will draw conclusions and propose an agenda for future research in EMs. To keep the discussion manageable, we focus on systematic differences between EMs and HICs and how this contributes to marketing science and practice. It is outside the scope of this article to discuss differences between EMs.
Section snippets
What are emerging markets?
There are a plethora of country classification schemes and the use of the term “emerging markets” has been inconsistent in the marketing literature and practice (e.g., Batra, 1999, Peng, 2000). Financial institutions such as ING and Morgan Stanley distinguish between emerging markets and developed countries, using three criteria. To be categorized as a developed country, 1) the country's income per capita has to exceed $10,000, 2) the country has to follow a stable and responsible macroeconomic
The process of scientific marketing research applied to emerging markets
Philosophers of science have long argued that science is a process. The marketing science process involves development of theoretical explanations of marketing phenomena, empirical testing of these explanations, and extension and/or revisions of generalized explanations (Bass & Wind, 1995). This process consists of four stages (see Fig. 2; Bagozzi, 1980).
The process usually starts with theory development. At this stage, it is important to carefully delineate one's theoretical constructs and the
Using existing constructs
Much EM research uses theoretically-grounded constructs originally developed in HICs. Often this makes perfect sense as there is no reason to assume that these constructs are not applicable to EM settings. There is quite some evidence concerning the universality of many consumer-related constructs. Based on the universal human needs of individuals as biological organisms, requisites of coordinated social conduct, and requirements for the smooth functioning and survival of groups, Schwartz (1992)
Choice of the countries
In EM research, the choice of the country or countries for theory testing often is guided by resources, previous collaborative relationships, or even convenience. Given the vital role that institutional context plays in shaping one's results, a more systematic approach is needed, depending on the goal of the study. We distinguish between generalizability studies and contingency studies (cf. Van de Vijver and Leung, 1997). Generalizability studies examine the (weak or strong) generalizability of
Heterogeneity
Compared to HICs, EMs exhibit a much greater degree of within-country heterogeneity on key aspects of human development such as income and educational attainment, as well as on other aspects, varying from marketing infrastructure to lifestyle. In such a context, “fixed-effects” models and techniques are problematic. The established method for assessing scale reliability is Cronbach's alpha, which ignores heterogeneity. This may be one of the reasons why scale reliability in EMs often is lower
Direct interpretation
Learning can occur at several levels. At the most basic level, we learn something about the phenomenon at hand in the country in question. In our discipline, there is a strong focus on statistical significance. Findings that are significant at p < .05 are considered important while findings with a significance level above .05 – or, more liberally, above .10 – are not. Similarly, scales are considered to demonstrate internal reliability when coefficient alpha exceeds .70. Generally, these are
Implications for marketing practice
Marketing research in EMs not only plays a considerable role in the evolution of marketing science, it is also of great relevance to marketing practice. In this section, we will consider a number of issues specific to the development and implementation of marketing strategies in EMs.
Summary
In this article, we argued that marketing scientists need to conduct more research in EMs, both to further the advance of marketing as an academic discipline as well as to maintain the managerial relevance of our discipline. We viewed marketing science as a process, and proposed a framework delineating four stages through which EM research contributes to the growth of marketing science. The four stages are 1) theory development, 2) acquisition of meaningful data, 3) analysis of the data to test
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