Research reviewMarketing

髙田 英亮

Professor, Keio University Faculty of Business and Commerce

Hidesuke Takata

Marketing, Distribution Channels

Hidesuke Takata was appointed a Professor at the Keio University Faculty of Business and Commerce in 2020 after serving as an assistant professor, lecturer, and associate professor. He holds a Ph.D. in Business and Commerce. Current areas of interest include study of managerial issues in distribution channels through new institutional economics and utilization of Big Data and AI in marketing strategy. Professor Takata's papers have been published in journals including Industrial Marketing Management, Journal of Business Research, and Journal of Marketing & Distribution (in Japanese).

Theoretical and empirical research
on distribution channels and marketing strategy

Professor, Keio University Faculty of Business and Commerce Hidesuke Takata

My field of marketing in the discipline of business and commerce consists of various subjects, including consumer behavior, product development, pricing, advertising, distribution channels, and marketing strategy. Among these, my specialties are in distribution channels and marketing strategy. Fig. 1 below reviews the process of the evolution of my research areas in these two fields since I was appointed a lecturer at the Keio University Faculty of Business and Commerce in 2011. My studies are described below based on this chart.

Fig. 1. Research evolutionary process
研究の発展プロセス

Distribution channels: Choice of channel forms

I have remained interested in and continued to study distribution channels since graduate school. This field focuses chiefly on businesses' choice of channel forms to deliver products to customers and management of channel relationships. A typical approach to the former of these focuses is research employing new institutional economics, such as transaction cost theory and agency theory. I have carried out research under this vast umbrella.
Choice of channel forms concerns what kinds of transaction forms manufacturers choose in distributing their products. For example, at the wholesale stage some manufacturers distribute mainly through direct channels, such as their own wholesaling sections or sales companies, while others mainly use indirect channels, such as wholesalers or distributors. Some manufacturers dexterously leverage both direct and indirect channels through what is called a dual-channel strategy.
A direct or indirect channel is said to be used to distribute a product if that channel accounts for 90% or more of product sales. Otherwise, the manufacturer is said to use dual channels. The choice of channel forms by Japanese manufacturers (at the wholesale stage) under this rule is shown in Fig. 2. As this chart shows, a higher percentage of manufacturers rely mainly on direct channels for producer goods than for consumer goods, while more manufacturers depend mainly on indirect channels for consumer goods than for producer goods.

Fig. 2. Choice of channel forms by Japanese manufacturers (wholesale stage)
日本の製造業者によるチャネル形態の選択状況

Factors behind choice of channel forms

What factors govern this choice (i.e., the percentage of direct channels)? Professor Oliver Williamson's transaction cost theory has been a strong influence in addressing this question since the 1980s. But his theory was not complete, and since the 2000s Professors Richard Langlois and Nicolai Foss have introduced and developed capability theory to fill in its gaps.
Under these conditions, Research Area 1 uses these two theories to explain the percentage of direct channels. My main achievement in this area is Takata (2013). The results of its analysis showed that both transaction cost factors, such as asset specificity, and capability factors, such as market capabilities, are important to explaining the percentage of direct channels, with the latter playing the more important role.
Next, Research Area 2 focuses on dual channels, similarly considering the reasons for this choice using the two theories. My main achievement in this area is Takata (2019), which showed that capability factors also were more important in choice of dual channels.

Asset specificity in producer goods and consumer goods

Subsequent careful review of results of past analysis on asset specificity, the most important transaction cost factor, showed that in fact existing research either had been limited to human asset specificity alone or employed a mixed measure of human and physical asset specificity. Research Area 3 identifies this point as an issue and divides asset specificity into the two types of human and physical assets and elucidates the relationship between these and the percentage of direct channels. A main achievement in this area is Takata and Parry (2022), a joint study with Professor Mark Parry at the University of Missouri – Kansas City.
This paper can be described as a compilation of the series of prior studies, providing an overview of the results of analysis of the percentage of direct channels (at the wholesale stage), as shown in Fig. 3.

Fig. 3. Overview of results of analysis of percentage of direct channels (wholesale stage)
直接チャネルの割合に関する分析結果の全体像

Results related to asset specificity were as expected for producer goods, showing that a higher human asset specificity led to a higher percentage of direct channels. This relationship is relatively strong, indicating that it is a more important relationship. However, similar results were not obtained for consumer goods, contrary to expectations. On the other hand, for both producer and consumer goods the expected positive relationship between physical asset specificity and the percentage of direct channels was identified. These findings suggest the need to consider the two types of asset specificity individually.
In addition, regarding capability factors the analysis showed that higher market capabilities led to a lower percentage of direct channels. This relationship was consistently strong for both producer and consumer goods. Also, in producer goods product complexity was a strong determining factor for human asset specificity.
The above research findings effectively rewrite the content of textbooks of marketing and distribution channels. They serve as useful guidelines for choice of appropriate channel forms by management and managers. I plan future research to take into account channel forms for the digital age, such as omnichannel, as well.

How marketing capabilities determine business performance

Next I would like to review another of my areas of specialization, marketing strategy. In this field, I am studying how external and internal factors affecting the business impact its marketing behavior and performance. This research was inspired by the way competitive strategy theories employed often in this field, such as resource-based theory and dynamic capability theory, are deeply related to new institutional economics.
I began by addressing Research Area 4. A major output from this research is Takata (2016). This paper looks at industry structure as an external factor and market orientation and marketing capabilities as internal ones, using data from three surveys conducted over three years to consider how these factors affect business performance.
Industry structure here was ascertained using Professor Michael Porter's five competitive forces of competitive rivalry among existing firms, threat of new entry, threat of substitution, buyer power, and supplier power. Market orientation refers to market-knowledge generation, dissemination, and responsiveness regarding present and future customer needs, while marketing capabilities refer to the abilities to execute various responses for target customers through products, prices, promotion, and channels, in appropriate combinations. Business performance was measured using data such as market growth and profitability.
The results of this analysis showed that the most important factor determining business performance was marketing capabilities, followed by competitive rivalry, buyer power, and market orientation. Market orientation had a major impact on business performance via marketing capabilities. Today, this paper is positioned as one study showing the importance of marketing capabilities, and it has been cited by numerous researchers.

Toward the age of Big Data and AI

Research Area 5 is an area in which I am involved in joint research with Associate Professor Nobuyuki Fukawa at the Missouri University of Science and Technology. In recent years, utilization of Big Data and AI is advancing in corporate marketing strategy. But not many firms have been able to use them successfully in areas such as development of creative new products. We are taking on the challenge of researching solutions to this issue using mixed research methods combining quantitative and qualitative analysis.
As its name implies, marketing concerns active markets that resemble living creatures based on constantly changing customer needs. Under such conditions, I intend to move ahead with further research focusing on the latest developments to provide fresh insights to practitioners while adding a new page to marketing textbooks.

References

Takata, H. (2013). The influences of transaction cost factors and capability factors on the degree of channel integration. Journal of Marketing & Distribution, 15(1), 15-38. (in Japanese)
Takata, H. (2016). Effects of industry forces, market orientation, and marketing capabilities on business performance: An empirical analysis of Japanese manufacturers from 2009 to 2011. Journal of Business Research, 69(12), 5611-5619.
Takata, H. (2019). Transaction costs and capability factors in dual or indirect distribution channel selection: An empirical analysis of Japanese manufacturers. Industrial Marketing Management, 83, 94-103.
Takata, H., & Parry, M. E. (2022). Human asset specificity, physical asset specificity, and direct distribution. Industrial Marketing Management, 105, 515-531.