اثر قابلیتهای بازاریابی، قابلیتهای عملیاتی و استراتژی های تنوع بر عملکرد: یک دیدگاه مبتنی بر منابع
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی|
|26632||2010||13 صفحه PDF||29 صفحه WORD|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Industrial Marketing Management, Volume 39, Issue 2, February 2010, Pages 317–329
2. چارچوب مفهومی
2.1. خلاصه دیدگاه مبتنی بر منابع (RBV)
شکل 1: چارچوب برای اندازه گیری منابع - قابلیتها - عملکرد – تحولات اجرایی
2.2 منابع، قابلیت، تنوع و عملکرد
2.2.1 قابلیت بازاریابی
2.2.2 اثربخشی مديريت موثر فرايندها بر قابليت بازاريابی - پيوند عملکرد کسب و کار
2.2.3 قابلیت عملکرد
2.2.4 تاثير مديريت اثربخشي فرايندها بر قابليت عملکرد - پيوند عملکرد کسب و کار
2.2.5 استراتژی و عملکردهای گوناگونی
2.2.6. تاثير محدود (مناسب) اثربخشي فني بر روی پیوند تنوع - عملکرد کسب و کار
3. مواد و روش ها
3.1 شرح مجموعه داده
3.2 چارچوب برای اندازه گیری تأثیر فاکتور
شکل 2: تصویر حد فاصل کارآمدی DEA.
3.2.1 تجزیه و تحلیل پوشش داده (DEA) - یک مرور کلی
3.2.2. ورودی ها و خروجی ها برای اندازه گیری اثربخشی
شکل 3. چارچوب برای اندازه گیری اثربخشی منابع.
3.3 اندازه گیری قابلیت بازاریابی
3.4 اندازه گیری قابلیت عملیات
شکل 4. چارچوب برای اندازه گیری توانایی بازاریابی
3.5 اندازه گیری کارایی
شکل 5. چارچوب برای اندازه گیری قابلیت های عملیاتی.
جدول 1 متغیرها و اندازه گیری آنها.
3.6. اندازه گیری استراتژی های انحراف سنجی
3.7 فرضیه های آزمایشی
جدول 2 چکیده توصیفی از اندازه گیری ها
4.1. طبقه بندی شرکتهای لجستیک بر اساس کارآیی کسب و کارشان
4.2. فرضیه های آزمایشی
4.2.1 برای تمام صنایع (n=102)
جدول 3 .نتایج رگرسیون عملکرد کسب و کار به عنوان معیار متغیر.
4.2.2 تست تعدیل - برای کارخانه های کارآمد (n=30)
4.2.3 تست تعدیل - برای شرکتهای ناکارآمد (n=72)
5. بحث، مفاهیم و نتیجه گیری
5.1 قابلیت های عملکردی و عملیات
5.2 استراتژی های گوناگون و عملکرد
5.3. نتیجه گیری
ضمیمه. بازدهی ثابت به مدل مقیاس DEA
Using resource-based view (RBV) of the firm as a theoretical backdrop; we aim to find out the relative impact of a firm's functional capabilities (namely, marketing and operations) and diversification strategies (product/service and international diversification) on financial performance. We hypothesize that this linkage depends on the firm's relative efficiency to integrate its resource–capabilities–performance triad. Using archival data of 102 UK based logistics companies, we find marketing capability is the key determinant for superior financial performance. This study highlights that a market-driven firm is likely to have better business performance than a firm focusing solely on operational capabilities. Also, firms are better off when they focus on a narrow portfolio of products/services for the clients and concentrate on a diverse geographical market. Our findings provide a new perspective to model a firm's functional capabilities and diversification strategy on its financial performance and offer a benchmarking tool to improve resource allocation decisions.
Traditionally, marketing and operations functions have been studied separately in management literature (Karmakar, 1996). Marketing focused on creation of customer demand and how to offer customers a unique value proposition. On the other hand, operations focused on management of supply to fulfill customer demand. Porter (1985) argued that all functional areas of business contribute towards delivery of goods and services but marketing and operations are the two key functional areas that add and create value to customers. There is a growing body of management science literature which stresses the integration of marketing and operations functions as key to organizational performance (Balasubramanian and Bhardwaj, 2004, Ho and Zheng, 2004, Malhotra and Sharma, 2002 and Sawhney and Piper, 2002). Mismatch between these two functions lead to production inefficiency and customer dissatisfaction, whereas a proper fit lead to superior competitive advantage and sustainable profits (Ho & Tang, 2004). It is widely accepted even among business leaders that ability to integrate such cross-functional expertise is essential for continued growth and profitability (Wind, 2005). Diversification strategy, in terms of entering into a related or unrelated business and/or entering into a new geographic market is considered to be of crucial importance to an organization's long term leadership position in its own industry (Hoopes, 1999, Goerzen and Beamish, 2003, Nachum, 2004 and Narasimhan and Kim, 2002). Strategic management literature has studied extensively the costs and the benefits of diversification strategy and its effect on competitive advantage for an organization (Chakrabarti et al., 2007, Palich et al., 2000 and Ramanujam and Varadarajan, 1989). Researchers have particularly focused on the effect of product/service diversification which is defined as the synergy in different lines of business (Berger and Ofek, 1995 and Bettis and Mahajan, 1985) and, international diversification or geographical diversification in a different market (Fang et al., 2007, Ghoshal, 1987 and Kim et al., 1993) on firm performance. Hitt, Hoskisson, and Kim (1997) argued that the ability of an organization to manage such diversification depends on their cross-functional capabilities and coordination activities. It is widely accepted that efficient linkage of various internal functions within an organization and interactions among them is crucial to manage the ‘curvilinear effects’ of diversification on performance (Narasimhan and Kim, 2002 and Palich et al., 2000). From the above discussions, it is clear that functional capabilities (marketing and operations) and diversification strategies (product/service and international diversification) have significant impact on a firm's financial performance. But to our knowledge, there has been no research to integrate all these constructs and find out the relative impact of each of them on firm performance. Thus, our first research objective is to understand the nature of relationship between marketing capability, operations capability, and diversification strategy (product/service and international) on organization's financial performance. Capabilities are broadly defined as “complex bundle of skills and accumulated knowledge that enable firms (or strategic business units — SBU) to coordinate activities and make use of their assets” (Day, 1990, p. 38). As a theoretical background of our study, we use the resource-based view (RBV) framework to assess how individual organization's resources and capabilities affect its financial performance (Wernerfelt, 1984). RBV theory suggests that each organization has a distinctive set of resources and capabilities, and some capabilities will have superior impact on financial performance than the others (Song, Benedetto, & Nason, 2007). Such difference in impact is attributed to the efficiency with which a firm is able to convert its resources into “valuable” “difficult to imitate” capabilities and into financial performance (Liebermann & Dhawan, 2005). Efficiency is defined as the ratio of a firm's output to that of its input and is measured in terms of the maximum feasible output which can be obtained with a given set of inputs (Liebermann & Dhawan, 2005). In this study, we specifically study the relationship in two contexts: high vs. low efficient firms in making this transformation. Thus, our second research objective is to understand how efficiency of a firm to convert its resources into financial outputs moderates the relationship between the functional capabilities and diversification strategy on overall business performance. We accomplish our research objectives in three stages. First, following RBV rationale, we model the functional capabilities (marketing and operations) of a firm in the form of input–output transformation. This enables us to understand how a firm is able to optimally use its function specific resources to achieve function specific objectives. Such identification of sub-optimal resource usage provides insights to better resource allocation decisions. We use similar approach to classify firms into high and low efficient groups as per their overall business performance. Second, we propose and empirically test how diversification strategy affects firm performance. Third, we examine how business performance measured using multi-factor construct in stage 1 affects the relationship between functional capabilities and diversification strategy on firm's financial profitability. We test our conceptual framework using archival financial data for UK road based logistics service providers. A logistics firm, operating in business to business context, has to excel in both operations capabilities through superior process knowledge and marketing capability through continuous creation of customer value. Firms in logistics industry are extremely dependent on the overall economic growth of the country; and the performance of freight intensive industries such as manufacturing, agriculture, and retail. However, with increase in focus on services dominant industries, stagnant economic growth, increase in fuel cost, and congestion on the roads, the logistics industry in UK is experiencing stagnation. The growth in freight transport in UK has been less than the GDP growth of the country (Office of National Statistics, 2006). In UK, the numbers of road freight operators have steadily fallen by 15% in the last decade. Rail and water based transport has steadily replaced road transport. The cost of moving freight by rail and sea has decreased over the years whereas, the cost of road transport has increased by a third during the last decade making it more challenging for the road transport operators to compete and sustain (Department of Transport, 2004). Thus, recession in economy, spiraling cost of operation, and tighter profit margin has made it imperative for the logistics companies to re-think about their value propositions to their customers, diversify through expansion of services offered and geographical coverage. Many logistics companies are thus going towards consolidation of their business portfolio to achieve greater efficiency. Despite the gloomy industry forecasts, there is a significant variation in performance of the logistics firms. The small and medium logistics firms experience a negative growth in business and very large firms have significantly higher profit than the firms in the other end of the spectrum (Office of National Statistics, 2006). Thus, it becomes critical to understand how functional capabilities and long term diversification strategies of logistics firms affect their business profitability and how efficiency of firms moderates this inter-relationship. The rest of the paper is structured as follows. The next section discusses our theoretical underpinning of using RBV framework and the conceptualization of functional capabilities and diversification for logistics firms. Section 3 discusses the data and the methodology for measuring resources, capabilities and efficiency. Section 4 presents the empirical findings and Section 5 highlights the implications of our result, limitations of our study and provides direction for future research.
نتیجه گیری انگلیسی
Our study contributes to marketing literature in several ways. First, we empirically verify the theoretical tenets of RBV logic that resources and capabilities produce different performance results depending on the complex process in which a firm integrates the cumulative effect. We capture three key drivers of firm performance, namely marketing capability, operations capability, and diversification strategy together. We offer an integrated framework to find out the relative importance of each of these drivers on overall financial performance. We consider this triangulation approach to be very important as firms are often surrounded by uncertainty and incorrect beliefs about the relative importance of these drivers on long term performance. Second, we use an input–output framework for measuring overall performance and the intangible process transformation nature of firm's functional capabilities which captures the essence of RBV framework where a firm has varying powers to convert its resources and capabilities to superior performance. We propose a methodology based on an optimization technique called data envelopment analysis (DEA). This methodology helps us to classify firms into efficient and inefficient groups on the basis of their resource, capabilities to financial performance transformation. Third, our study gives the managers of logistics firms in both ends of profitability spectrum a measure for their process transformation inefficiencies. Using our methodology, the manager can identify the relative impact of performance parameters and understand the degree of complementarities between them. It provides a benchmarking tool to the managers and gives superior insights to their resource allocation decisions. This study also has certain limitations. First, we test our hypotheses using archival data as we focus more on the resource–capability–performance framework as suggested by RBV theory. Such secondary data do not provide insights into the actual transformation process on how different organizations have assimilated these constructs into their business process. Further in-depth understanding is only possible through proper survey based research. Thus, measures for resources, capabilities and performance can be further improved by combining managerial perceptions through survey data and secondary financial measures to make them more robust and industry specific. Second, our study is with cross-sectional data. This research can be extended by capturing data over a period of time to understand how a firm acquires its knowledge building capacity and how experiential learning contribute to business performance in a longitudinal scale. Third, in this study we assume a linear relationship between diversification and performance. Strategic management literature on diversification highlights the relationship to be curvilinear. This indicates that the effect of diversification on performance is positive for related diversification and negative for unrelated diversification. So, our measure for diversification can be extended to capture the relatedness aspect of diversification and an assumption of quadratic relationship can help to find out the threshold level for diversification. Last, future research can focus on more functional capabilities of firm like IT, technology and modeling the interactive effects of such capabilities and diversification strategy on firm performance. This can improve the explanatory power of our conceptual framework.