2015 HSE & GAMMA Joint Symposium E-COMMERCE MARKET IN RUSSIA: BARRIERS AND OPPORTUNITIES OF FUTURE DEVELOPMENT Daviy Anna, National Research University “Higher School of Economics”, Russia1) ABSTRACT Differences between the conventional physical markets and e-commerce question the validity of the established models used for e-commerce. Investigating marketing in the emerging markets on the example of Russia can broaden the view of marketing; however the e-commerce development in the Russian markets is now well examined in the existing literature. The Internet audience in Russia is 66.5 million people and the Russian market has the biggest online audience in Europe. The main objective of this paper is to analyze the barriers and perspectives for e-commerce market development in Russia. The paper gives an overview of the current Russian Internet market development and trends. To identify barriers and opportunities of Russian ecommerce market 29 in-depth interviews with representatives of Russian internet businesses and 6 interviews with experts were conducted. Keywords: E-commerce, Emerging markets, Russia INTRODUCTION The dot.com crisis in 2000 resulted in a first critical academic reflection of the success drivers in the e-commerce marketplace. On the one hand, academics focused on strategic issues of e-commerce development. Christensen (2000) identifies the nonexistent understanding of e-commerce industry competition as well as the incompetence to exploit new technologies on a sustainable basis as main reasons for failure. A general lack of strategic direction and subsequently a poor definition of objectives are also criticized by Porter (2001). On the other hand, e-commerce theoretical framework shows the inability of the traditional Marketing Mix to be applied to the context of e-commerce (Constantinides, 2002). In addition to the above mentioned critiques of the existing marketing instruments, the severe differences between the conventional physical markets and e-commerce markets question the validity of the established models used for e-commerce. As the culmination point of the shift from the mass markets of the 1960s to more segmented, customized, interactive and global markets, e-commerce requires different marketing efforts. Individual, rather than collective needs have to be served and customer retention achieves greater importance than customer acquisition. Thus, considering online markets from marketing perspective is quite important topic for the research. Moreover, according to Sheth (2011), emerging markets, to which Russia belongs to, have some specific features that differ them from advanced market. Investigating and understanding marketing on the emerging markets can broaden our view of marketing in general and understanding of the e-commerce market development in particular. However, e-commerce development in the Russian markets is now well examined in the existing literature. 1 adaviy@hse.ru 1 2015 HSE & GAMMA Joint Symposium In this paper we examine e-commerce market in Russia. As for now, the Russian market has the biggest online audience in Europe. The Internet audience in Russia is 66.5 million people – so many Russians over the age of 18 use the Internet at least once a month. 80% of users that is 53 million people go online daily (Yandex, 2014). Modern consumers are increasingly engaged in activity on the Internet and join to online shopping vigorously. The main objective of this paper is to analyze the barriers and perspectives for ecommerce market development in Russia. The paper gives an overview of the current Russian Internet market development and trends. MARKETING FRAMEWORK FOR E-COMMERCE The concept of the marketing mix was developed by Neil Borden (1964) as a set of twelve controllable marketing parameters which would secure the profitability of a business. The model became rapidly embraced by practitioners after it was reduced to the four parameters product, price, placement and promotion by McCarthy (1964). Since then, the 4 Ps remained the sole fundamental marketing tool for decades. In light of the undisputed dominance of the 4 Ps as the main marketing instrument, as underlined by Grönroos (1997) and Goldsmith (1999), the assumption that this framework represents also the main tool for e-commerce marketing is valid. However, the 4 Ps framework is already subject to critique with reference to physical mass-market environments, being questioned with regard to its ability to scope with contemporary business environments. Among them, first of all, Ohmae (1982) focused his critique on the lack of strategic elements. Therefore, the previous research suggested building the marketing strategy around the cornerstones customers, competitors and cooperation – the tool was presented as the 3 Cs. Second, Robins (1991 as cited in Kalyanam and McIntyre, 2002) introduced the 4 Cs, short version for customers, competitors, capabilities and companies, in order to stress the external relevance of marketing efforts. Another variation, with focus on customers, are the 4 Cs which are defined as convenience, cost to the customer, communication and consumer needs and wants. Third, Bennet (1997) developed the 5 Vs, an approach to overcome the overemphasis on internal variables when using the 4 Ps. The 5 Vs stand for value, viability, variety, volume and virtue and are regarded as the main criteria for customer disposition. Others, such as Lauterborn (1990), Grönroos (1997) or Godin (2001) consider the 4 Ps as not enough customer oriented, as restraining the company as well as the customer and finally as an obsolete management tool (Constantinides, 2002). In addition to this shift of focus, several aspects require a new marketing framework for e-commerce: Interactivity. The classical model of 4 Ps does not specifically include interactive elements. However, interactivity is regarded as a major characteristic e-marketing (Evans and Wurster, 2000). With respect to the latest fundamental development of the Internet, the shift towards the so-called Web 2.0, interactive elements appear to have become even more important. The internet as an information-rich, a “market-space in which buyers and sellers can meet, discuss and negotiate” (Robins, 2000, p.255). This characteristic distinguishes the internet from other electronic mass market media and simultaneously offers an alternative to personal selling. 2 2015 HSE & GAMMA Joint Symposium Distinctiveness of parameters. The application of the 4 Ps always signifies that the four parameters are distinguishable and not interrelated. In physical markets, customers usually experience the implications of decisions concerning the four Ps in different occasions, times and places. In contrast, in the virtual marketplace, the four parameters of the marketing mix are strongly interdependent. Moreover, they are simultaneously experienced by the customer during the visit of the homepage (Constantinides, 2002). Within the scope of this customer experience, the so-called Web Experience, all 4 Ps are strongly concentrated on the homepage. Strategic and operational level. The 4 Ps have always been regarded and applied as an operational tool. Strategic considerations, in terms of corporate strategy as well as the subsequent marketing strategy, are seen as an exogenous variable which is determined by the strategy-making processes. However, when the 4 Ps are used as the only planning tool for E-commerce, the concerned enterprise runs the risk to neglect the relevance of strategy-making. A possibility to solve this issue is the application of conventional strategy-making procedures parallel to whatever chosen marketing planning tool. This approach possesses two shortcomings. First, strategic planning systems are time-consuming which is not applicable in E-commerce. Second, the constantly changing online marketplaces lead to the expiration of ratified strategies far quicker than physical market. Speed of response. This aspect does not only refer to the technical capability to communicate quickly, but also to the flexibility to respond rapidly to changing customer behaviors and competitors’ actions (Robins, 2000). Instant price changes, the application of yield maximization pricing tools by airlines and “à-la-carte pricing” (Cortese and Stephanek, 1998) underline the need of a far more flexible understanding of marketing than in the 4 Ps model. Intermediaries. In physical markets, the value chain included intermediaries such as wholesalers, retailers or agents. In contrast, online marketplaces are characterized by the existence of a new form of intermediaries, in the form of portals, comparison tools and tracking agents (Peterson, Balasubramanian and Bronnenberg, 1997). This setting allows sellers to have more direct access to buyers whereas new players emerge between them. To sum up, the 4 Ps model is not appropriate, too time consuming, inflexible for the dynamic and unpredictable e-commerce market. RUSSIAN E-COMMERCE MARKET OVERVIEW That’s why the Russian e-commerce market is expected to grow quickly over the next years (Table 1). In 2013 the market growth was 31% and in 2014 it’s expected it will be 30% (The economy of Runet 2013-2014, 2014). Table 1 and Table 2 However, some obstacles have a strong impact on the positive dynamics of the ecommerce market. Firstly, stagnation is reported as a result of the first 9 months in 2014 (Virin, 2014). There is some negative dynamics of searching for “online shop”, for example (from 51% growth in November 2013 to 2% growth in July 2014). Also, number of purchases in online stores Aug 2014/Aug 2013 has grown by 15%, however 50% of these stores had less orders than year ago (Virin, 2014). Secondly, reconsidering the total forecasts will be done because of shrinking consumer income 3 2015 HSE & GAMMA Joint Symposium and cutting down marketing budgets. Thirdly, dynamics of exchange rate have increased the price of imported goods by almost 25% (in USD). Finally, increased complexity in shipping due to new import laws may affect electronics and luxury goods markers, because new limits for cross-border online purchases are 150 EUR maximum. That’s why it’s obvious that the Russian e-commerce market has the huge potential but because of some obstacles can’t reach it. Thus, the aim of this research is to identify specific factors that retard and encourage development of Russian ecommerce market and evaluate their effect on the market. THE RESEARCH METHODOLOGY For answering the first research question (identifying barriers and opportunities for Russian e-commerce market development), we will use secondary data. Further secondary data will be supplement with the in-depth interview that extends our understanding of existing barriers and potential opportunities for the market from the business and customer perspective. For investigating the second research question and evaluate the impact of specific barriers on the e-commerce market in Russia and analyze the possibilities of future development, we will use a quantitative research in order to obtain primary data. The first part of the qualitative phase was held in the September, 2014. To identify barriers and opportunities of Russian e-commerce market from the business side 29 interviews with representatives of Russian businesses in the field of e-commerce (9 interviews) and online sales (14 interviews) were conducted. Also, 6 experts’ interviews with experts in the field of business, e-commerce and direct sales were done. Respondents were selected based on their knowledge and experience in the field of direct sales and online trading. In-depth interview were conducted with the respondents from Moscow, St. Petersburg and some other large cities in Russia. Interviews with the respondents were done personally or by Skype, interviews with experts were conducted in person. A protocol for conducting interviews included questions for three groups of respondents: respondents from the business field, respondents from the field of direct sales, experts from the field of online trading and/or direct sales. The second part of the qualitative phase that is required for understanding the customer point of view is in process now. BARRIERS OF E-COMMERCE MARKET GROWTH IN RUSSIA AND OPPORTUNITIES FOR THE MARKET DEVELOPMENT Consideration of the market should be carried out from two sides: from the business position and from the customer position, because all these two forces can influence significantly. Based on the analysis of the secondary data, quite a lot factors hindering the development of e-Commerce in Russia can be identified; among them should be mentioned: Table 3 and Table 4 4 2015 HSE & GAMMA Joint Symposium MAIN RESULTS OF THE STUDY AND DIRECTION FOR THE FUTURE RESEARCH Barriers to business development in the Internet mentioned by the respondents can be divided into two main categories: the pressure of the market environment (competitors and suppliers) and infrastructure (logistics and payment systems) and institutional issues (distrust of e-commerce, the low level of state support and the lack of preferential loans). The most significant is the second category - infrastructural and institutional challenges. They reduce the overall motivation for this type of business, and also weaken the competitive position of small companies compared to large contractors (suppliers and major competitors). The greatest number of growth opportunities in the respondents opinion is associated with the development of the intangible assets of the business like partnerships and increasing consumer loyalty and the differentiation of their proposals. If we consider the opportunities for the marker development in general, institutional and infrastructural areas have the greatest potential to become the basis for the effective implementation of other possibilities. Findings from the in-depth interview with respondents representing business perspective contribute to the deeper understanding factors that have a negative and positive impact on development e-commerce market in Russia. But without any doubts it’s necessary to make the similar research with the customers who use goods and services on e-commerce market. After this quantitative step the qualitative step is required to evaluate obtained factors by using statistical data. REFERENCES Bennet, A.R. (1997). The five Vs – a buyer’s perspective of the marketing mix. Marketing Intelligence and Planning, 15(3), 151-156. Borden, N.H. (1964). The concept of the Marketing Mix. Journal of Advertising Research, 4(2), 2-7. Christensen, C.M. (2000). After the Gold Rush: Patterns of Success and Failure on the Internet. www.inosight.com. Constantinides, E. (2002). The 4S Web-Marketing Mix model. Electronic Commerce Research and Applications, 1(1), 57-76. E-commerce in Russia (November, 2014). Retrieved from http://www.ewdn.com/ecommerce/insights.pdf (Last accessed: December 1, 2014). E-commerce market: the results of the first half 2014 (October, 2014). Retrieved from http://www.akit.ru/rynok-e-commerce2014/ (Last accessed: December 1, 2014). Evans, P., Wurster, T.S. (2000). Blown to Bits. Cambridge, MA: Harvard Business School Press. Godin, S. (2001). The New P’s of Marketing. Sales and Marketing Management. New York: Bill Communications. Goldsmith, R.E. (1999). The personalised marketplace: Beyond the 4Ps. Marketing Intelligence and Planning, 17(4), 178-185. Grönroos, C. (1997). From Marketing Mix to Relationship Marketing – Towards a Paradigm Shift in Marketing. Management Decision, 34(5), 322-339. Kalyanam K., McIntyre, S. (2002). The e-marketing mix: A contribution of the etailing wars. Journal of the Academy of Marketing Science, 30(4), 487-499. 5 2015 HSE & GAMMA Joint Symposium Kulikov, Andrey (March, 2014). Russian internet Deal Book 2012-2013 Fastlane Ventures. Retrieved from http://www.slideshare.net/AndreyKulikov/russianinternet-deal-book-20122013-fastlane-ventures (Last accessed: December 1, 2014). Lauterborn, B. (1990). New marketing litany: four Ps passé: C-words take over. Advertising Age, 61(41), 26. Lukina, Ekaterina (August, 2014). Go to online for goods. Retrieved from http://www.nielseninsights.eu/articles/za-tovarami-v-onlajn (Last accessed: December 1, 2014). McCarthy, J.E. (1964). Basic Marketing. A Managerial Apporach. Homewood, IL: Richard D. Erwin. Ohmae, K. (1982). The Mind of the Strategist: The Art of Japanese Business. New York: McGraw-Hill. Peterson R., Balasubramanian S., Bronnenberg B. (1997). Exploring the implications of the Internet for Consumer Marketing. Journal of the Academy of Marketing Science, 25(4), 329-346. Porter, M. E. (2001). Strategy and the Internet. Harvard Business Review, 79(1), 6378. Robins, F. (2000). The E-Marketing Mix. The Marketing Review, 1(2), 249-274. Sheth, J (2011). Impact of Emerging Markets on Marketing: Rethinking Existing Perspectives and Practices. Journal of Marketing, 75 (4), 166 –182. The economy of Runet 2013-2014 (October, 2014). Retrieved from http://xn-80aaokjbmheeb2a2al4l.xn--p1ai/2014/ (Last accessed: December 1, 2014). Yandex (Spring, 2014). The development of the Internet in Russia's regions. Retrieved from http://company.yandex.ru/researches/reports/2014/ya_internet_regions_2014.xml (Last accessed: December 1, 2014). Virin, Fedor (November, 2014). Internet trading in 2014: new data from the huge market. Retrieved from http://www.datainsight.ru/onlineretail2014 (Last accessed: December 1, 2014). INDEX Table 1. The growth of the market during 3 years Billion roubles 320 405 544 2011 2012 2013 Source: E-commerce market, 2014 6 2015 HSE & GAMMA Joint Symposium Table 2. Planned online purchasing of Russians Sport goods 12% 26% Goods for children 15% Tickets for events 15% Tours and hotels 25% Electronics 25% Fashion items 39% 19% Travel Health & beauty 24% 18% 35% 38% 35% 26% 26% 38% 2010 2014 Source: Lukina, 2014 Table 3. Barriers of e-commerce market growth in Russia Barriers from the business perspective Barriers from the customer perspective Weak saturation of the market of Unpopularity and mistrust of nonInternet services in the Russian regions; cash payments and prepaid schemes; The underdevelopment of the Low public confidence in the Russian logistics system; Internet as a sales channel; Shortage of staff and lack of Fear of sharing the confidential qualified management; information; Lack of optimal and coherent Low perceived quality of products legislative framework for the regulation and shops; of the industry; The complexity of the product Low margin business on the return and exchange. Internet and the prevalence of price competition; Saving schemes of taxation, grey import and parallel importation of goods, fraud. Sourse: [Virin, 2014; Lukina, 2014; Kulikov, 2014; E-commerce in Russia, 2014; Yandex, 2014] Table 4. The factors stimulating the development of e-commerce Factors stimulating business Factors stimulating customers Low costs of market entry; Welfare; Investment in the industry; Cost Involvement of the regions in the the Convenience online trading; Reviews Using multi-channel sales by business Saves time Sourse: [Virin, 2014; Lukina, 2014; Kulikov, 2014; E-commerce in Russia, 2014; Yandex, 2014] 7