Customer value analysis in a heterogeneous market

In recent years, customer value has become a major focus among strategy researchers and practitioners as an essential element of a firm's competitive strategy. Many firms have been interested in Customer Value Analysis (CVA) which involves a structural analysis of the antecedent factors of perceived value (i.e., perceived quality and perceived price) to assess their relative importance in the perceptions of their buyers. We develop a statistical approach for performing CVA utilizing a recursive simultaneous equation model that is formulated to accommodate buyer heterogeneity. In particular, the proposed finite‐mixture methodology allows one to estimate the relative effects and integration rules of perceived value drivers at the market segment level, as well as to simultaneously determine the (unknown) segments themselves. We demonstrate the utility of the proposed methodology via an actual commercial application involving a large electric utility company. Finally, we discuss the contributions of our research from the perspective of firm strategy and how it may be extended in the future. Copyright © 2001 John Wiley & Sons, Ltd.     

Prices,Profits, and Preference Dependence

We develop a new approach to discrete choice demand for differentiated products, using copulas to separate the marginal distribution of consumer values for product varieties from their dependence relationship, and apply it to the issue of how preference dependence affects market outcomes in symmetric multiproduct industries. We show that greater dependence lowers prices and profits under certain conditions, suggesting that preference dependence is a distinct indicator of product differentiation. We also find new sufficient conditions for the symmetric multiproduct monopoly and the symmetric single‐product oligopoly prices to be above or below the single‐product monopoly price.     

“蓝海战略”的经济学解释

蓝海战略的理论精髓是规则再造与价值创新。本文为蓝海战略提供了一个经济学视角的分析框架,指出价值创新的奥秘在于整合运用边际效用递增与边际成本递减两大经济规律,从而实现高效用与低成本的有效结合;规则再造的关键在于将传统市场逻辑下的“价格—需求—供给—价格”机制,改造成非竞争性市场逻辑下的“效用—需求—供给—成本”机制,重新塑造新的供求法则。这正是蓝海战略取得成功的奥秘所在。     

Applying Hedonic Pricing Models and Factorial Surveys at Parker Pen to Enhance New Product Success

Walking the path from new product concept to successful commercialization is a tightrope act. Product developers must carefully balance a variety of factors, including predictions of consumer price sensitivity as well as which combination of product attributes will be most valued by the intended market. A well-chosen mix of analytical tools can enhance a firm's chances of accurately predicting market demand. Chuck Tomkovick and Kathryn E. Dobie describe how the integration of two product attribute assessment techniques–hedonic pricing models and factorial surveys–allows product designers to more accurately gauge price sensitivity and market receptivity to new product designs. They also describe how these analytical tools were used to improve decision-making in product development at the Parker Pen Company, and they discuss the role these tools can play in facilitating the transition from concept to commercialization. Hedonic price analysis is an econometric method for determining the value purchasers place on attributes of existing products. In product development, factorial surveys are used to identify the value members of the target market place on new product concepts and prototypes. When used in combination with identified hedonic prices, the responses to a factorial survey allow product developers to predict consumer willingness-to-pay for various combinations of new product attributes. Following development of prototypes for two new product lines, product developers at the Parker Pen Company used hedonic pricing models and factorial surveys as a means for reducing demand uncertainty and for clarifying what consumers were willing to pay for various combinations of product attributes that were under consideration. The integration and use of these techniques involved a five-step process of target market identification, product attribute identification, hedonic price estimation, administering of the factorial survey, and determination of consumer willingness-to-pay. The results of these analyses allowed Parker Pen to better focus product development efforts on those design elements for which test market customers indicated both demand and willingness-to-pay. The Parker Pen Company found hedonic pricing and factorial surveys useful for predicting both the rate and the degree of change in consumers' marginal utility for specific product attributes. The usefulness of these techniques also extends beyond the early stages of new product conception. These techniques are helpful in the development and implementation of dynamic new product marketing mix strategies, including such elements as product design, pricing, channel selection, and promotion.     

Competitive advantage and performance: the impact of value creation and costliness of imitation

We create an industrial organization type model to relate resources to the spread between product market demand and marginal cost. We define competitive advantage as the cross‐sectional differential in this spread, and performance as the longitudinal differential between what a firm appropriates in the product market and what it paid in the factor market. With factor markets imposing different costs on the innovator and potential imitator(s), competitive advantage, performance, and high resource value do not necessarily coincide. Also, the interaction between resource value and the cost of imitation is complex and affected by the number of firms in the industry. Copyright © 2009 John Wiley & Sons, Ltd.     

Demand for coffee in Sweden: The role of prices, preferences and market power

There is a widespread belief that consumer coffee prices are high relative to bean prices and that lower consumer prices would lead to substantial increases in bean exports from Third-World countries. This issue is evaluated by analysing how retail prices, preferences and market power influence coffee demand in Sweden. A demand function is estimated for the period 1968–2002 and used, together with information on import prices of coffee beans, to simulate an oligopoly model. This approach gives estimates of the maximum average degree of market power and shows how coffee demand would react to reductions in marginal cost to its minimum level. The maximum level of market power is found to be low, but it generates large spreads between consumer and bean prices because the price elasticity has low absolute values. Moreover, the impact of a price decrease would be small because long-run coffee demand is dominated by changes in the population structure in combination with different preferences across age groups. Hence, a change to perfect competition would only have a negligible effect on bean imports.     

The Effects of Market Network Heterogeneity on Innovation Diffusion: An Agent‐Based Modeling Approach

Innovations usually have an initial impact on very few people. The period of learning or early evaluation precedes the diffusion of the technology into the wider addressed population. More than a transfer, this is best characterized as communication of benefits, costs, and compatibility with earlier technologies and a relative assessment of the new state of the art. Innovation development by an organization or individual creates not just a device (i.e., process or tacit knowledge) but concomitantly a capacity on the part of other organizations or persons to use, adopt, replicate, enhance, or modify the technology, skills, or knowledge for their own purposes. How innovations actually diffuse is to understand the communication of progress, and this framing helps one to design innovations and also design the marketing and testing programs to ready innovations for market and launch them efficiently. Diffusion theory's main focus is on the flow of information within a social system, such as via mass media and word‐of‐mouth communications. This theory presents often in the form of mathematical models of innovation and imitation. Distinct from classical diffusion models, however, consumers are not all identical in how they connect to others within a market or how they respond to information. We examine the effects of various network structures and relational heterogeneity on innovation diffusion within market networks. Specifically, network topology (the structure of how individuals in the market are connected) and the strength of communication links between innovator and follower market segments (a form of relational heterogeneity) are studied. Several research questions concerning network heterogeneity are addressed with an agent‐based modeling approach. The present study's findings are based on simulation results that show important effects of network structure on the diffusion process. The ability to speed diffusion varies significantly according to within‐ and cross‐segment communications within a heterogeneous network structure. The implications of the present approach for new product diffusion are discussed, and future research directions are suggested that may add useful insights into the complex social networks inherent to diffusion. A simple summary is that discovery of significant prime communicator nodes in a network allows innovation development practices to be better calibrated to realistically multiple market segments.     

Revisiting the imitation assumption: Why imitation may increase,rather than decrease,performance heterogeneity

Research Summary: Imitation is a central construct in strategy theory because it is assumed to diminish inter‐firm performance heterogeneity within an industry. We revisit this assumption, which is premised on the logic that imitated practices act directly to make the imitator more similar to its target. This logic is incomplete because imitation also acts indirectly—via its effect on an imitator's post‐imitation experiential learning efforts through which it refines imitated practices and fills remaining knowledge gaps. We examine how an imitator's focus of attention during this post‐imitation experiential learning process impacts performance heterogeneity. Employing a computational model, we contrast the heterogeneity resulting from imitative entry with that from de novo (non‐imitative) entry and identify conditions under which imitation may increase, rather than decrease, inter‐firm performance heterogeneity. Managerial Summary: Imitation is commonly assumed to be a low‐risk strategy by which firms can narrow the performance gap to the market leader. This assumption is predicated on an understanding of imitation that neglects the impact of imitation on subsequent, post‐imitation, learning. Such learning serves to refine the imitated practices and fill remaining knowledge gaps. Our theory suggests that imitation is more risky than is typically assumed. Imitation leads to bifurcated performance outcomes. An imitator is more likely to: (a) catch up to the market leader, and (b) perform far worse than it would have without imitation. Key factors driving the riskiness of imitation are the observability of the market leader's practices and an imitator's decision regarding its focus of attention in post‐imitation learning.     

Market frictions as building blocks of an organizational economics approach to strategic management

This paper shows that market frictions are fundamental building blocks for an organizational economics approach to strategic management. Various organizational economic approaches (transaction costs, property rights, real options, and resource‐based) have distinctive focal problems and emphasize different combinations of market frictions. A wider recognition of the role of market frictions is useful for three main objectives. First, it helps identify an evolving market‐frictions paradigm in strategic management. Second, it shows how two primary questions in strategy of why firms exist and why some firms outperform others and the three primary strategic goals of cost minimization, value creation, and value capture can be better joined and evaluated. Third, different combinations of market frictions can generate new research questions and advance theory development in the strategic management field. Copyright © 2013 John Wiley & Sons, Ltd.     

Are OTT messaging and mobile telecommunication an interrelated market? An empirical analysis

OTT messengers such as Facebook and WhatsApp have gained wide popularity among mobile users while the traffic of text messaging is in strong decline. As such, there is a debate over whether both services are interrelated and constitute a joint product market, which has important implications for the current wave of mergers in the mobile industry and regulation policy. To the best of our knowledge, this work is the first to provide an empirical analysis of how the consumption of OTT messengers affects demand for text messaging and mobile voice services. We make use of an innovative dataset which includes very detailed information on smartphone usage in Norway and consider a novel approach to address this question which is embedded in the complexity of two-sided markets. Interestingly, our findings suggest that OTT messengers complement demand for traditional mobile telecommunication services for this context. Consequently, both markets are interrelated but do not constitute a joint market from the perspective of competition policy in Norway. Moreover, we find an explanation for why reductions of text messaging usage have been so drastic in some countries and an analogous development for mobile voice is rather unlikely. Finally, our empirical results provide a new perspective on the modelling of consumer utility in communication networks in the theoretical literature.     

Product‐market strategy and the marketing capabilities of the firm: impact on market effectiveness and cash flow performance

We report on two studies (a single and a multi‐industry) that empirically investigate a nomological network of relationships between strategic business unit product‐market strategy (differentiation, cost‐focus, and product‐market scope), marketing capabilities (architectural and specialized capabilities, as well as their integration), and business unit performance (market effectiveness and subsequent one‐year objective cash flow), along with a series of controls. Addressing important lacunae in the resource‐based view our main research objective is to augment understanding of how critical firm‐level marketing capabilities enable the realization of strategy, thus, further advancing both the resource‐based view and more recent capabilities theorizing. Specifically, we test seven hypotheses and find strong evidence that both architectural and specialized marketing capabilities, and their integration, positively mediate the product‐market strategy and derived business unit performance relationship. In contrast to many extant studies, both survey and objectively measured data are combined, and because the secondary data collected contains both resource‐level (input) data and subsequent one‐year financial data, a higher level of confidence may be attributable to our findings. Copyright © 2009 John Wiley & Sons, Ltd.     

Who competes with whom? A demand‐based perspective for identifying and representing asymmetric competition

A host of strategic management and marketing issues, including competitive analysis and strategic decision making, hinges on accurately identifying and representing competitive market structures. It is readily acknowledged that competitive market structures are typically asymmetric; namely, one firm may actively compete with another in a given market but not vice versa. However, empirical efforts to assess these competitive asymmetries have been lacking in the strategy literature. We propose a new spatial methodology to identify and represent asymmetric competitive market structures. Specifically, we devise a new stochastic multidimensional scaling procedure that is calibrated from actual consumer consideration/choice sets to estimate and uncover competitive asymmetries. The proposed methodology can be effectively employed in the analysis of appropriate data from either demand‐ or supply‐side approaches to assess competitive market structure. We illustrate our proposed methodology with survey data collected from two different commercial applications: one from the U.S. luxury automobile market and the other from the U.S. portable telephone market. We contrast the findings of the proposed methodology against traditional symmetric approaches for identifying and representing competitive market structures, and discuss the respective strategic insights. Copyright © 2005 John Wiley & Sons, Ltd.     

Launching new product features: a multiple case examination

The present study investigates the strategies that eight companies employed in launching new product features in a variety of markets. A literature review shows that launching new product features is an under‐researched area. This lack of attention may be detrimental to companies, as in many mature markets—such as those for durable consumer goods like television sets, coffee machines or videocassette recorders—the launch of new product features is perhaps the single most important product development activity that companies employ. We sought to address three research questions, namely what are the current strategies used by managers for launching new product features, how do these strategies differ, and what are the opportunities and pitfalls of these strategies? A multiple case study involving 38 managers from different functional backgrounds was used, thereby investigating the feature introductions of eight companies in‐depth. The study first identifies six feature launch decisions: the feature's position in the feature life cycle, the core technology concerned, the focus on feature or product, the differentiation practices used by the firm, feature diffusion in the product line, and the make‐or‐buy decision. Based on these decisions, four distinct feature launch strategies were distinguished: dictatorship, pioneering, establishing, and following. Dictatorship companies launch feature innovations that are based on fundamentally new technologies. Pioneers are not as powerful as dictators and focus on features that are based on applied and proven rather than on fundamentally new technologies. Establishes copy and improve successful features and launch them quickly and broadly as a standard in mass markets. Followers launch standard features that already existed in the mass market. These four strategies describe how the firms in our sample launched new features in the marketplace. As such, they describe when and where in the product line what feature was introduced. Such a typology of feature launch strategies helps to proactively understand the strategies firms have for launching new product features. The article discusses for each strategy the relevant feature launch decisions, possible applications, and opportunities and pitfalls. We conclude with the implications of our study for research and managerial practice.     

Launch Strategy and New Product Performance: An Empirical Examination in The Netherlands

Although previous research has investigated the concept and contents of new product performance, there is still no consensus about the managerial decisions that constitute a launch strategy and how such decisions impact new product performance. The research objective for the present investigation is to assess the impact of launch strategy and market characteristics on new product performance and to test the stability of this impact across consumer and industrial products. Data were collected on 272 consumer and industrial new products in The Netherlands through a mail questionnaire approach. We based our definition of a launch strategy on an extensive literature review and interviews with managers. Our conceptualization of new product performance represented two dimensions, namely, market acceptance and product performance. The market acceptance dimension reflects the new product's market position and sales levels. The product performance dimension refers to the quality and technical performance level of the new product. This richer specification of the dependent variable provides a better view on which launch decisions impact which dimensions of new product performance. The impact of launch strategy was higher for market acceptance than for product performance, overall and for both consumer and industrial subsamples separately. In line with results from recent studies, overall, market acceptance is influenced by the product's innovativeness, timing of market entry, breadth of assortment, branding, pricing, the objective of increasing market penetration, and competitor reactions. Product performance is influenced by the product's innovativeness, breadth of assortment, and by the objective of using an existing market. Analyzing the consumer and industrial products separately showed that the general picture of launch decisions and their impact on the dependent variables was comparable across the total sample and both subsamples, indicating that heterogeneous samples in new product launch research may not cause major interpretation problems. Second, the analyses revealed that some launch decisions are more important in attaining new product success for consumer products than for industrial products, and vice versa. While these decisions do not lead to contradicting results in the samples, they show that some decisions may be especially relevant for only consumer or industrial products. We discuss research and managerial implications of the results.     

Barriers to Matching New Technologies and Market Opportunities in Established Firms

In industries that produce high‐technology products or are reliant on technology for administrative or manufacturing processes, it is essential appropriately to link technologies to markets in order to increase shareholder value and to build future cash flows. Research and development (R&D) allocations in such industries are greatly dependent on forecasts of the R&D project's estimated potential contribution to future cash flows, which is related to the project's ability to satisfy current or future customer needs. The resource allocation decisions are difficult, however, since both markets and technology are likely to be highly uncertain. Although the innovation literature ably has addressed specific relationships between certain factors and new product development outcomes, less attention has been given to obstacles faced in linking technology to markets. Grounded in a literature‐based discussion of technology and market opportunity, the authors develop a conceptual framework for identifying and understanding the barriers facing managers in the process of matching technologies to market opportunities. Technology and market barriers include technology‐market linkage, technology availability, technology and market capabilities of competitors, and business model feasibility. Strategy and structure barriers include competition for limited resources, technology capabilities, technology portfolio goals, current market strategies, and competition for control of market charters. Social and cultural barriers include interpretive and communication barriers between functional units and language and cultural barriers within the technology workforce. The article concludes with implications for researchers and managers. The conceptual framework presented here can encourage the development of a stream of research in the area of technology strategy and planning processes, allowing researchers to improve our understanding of the process of technology innovation. Managers can use the framework as a guide for addressing a wide range of issues related to the process of matching technologies to market opportunities. For example, rather than relying strictly on cash flow projections for estimating the value of a new technology, managers also should consider how the technology could create new market opportunities or could reshape existing ones.     

CEO compensation: A resource advantage and stakeholder‐bargaining perspective

This paper studies how CEO pay and its composition is shaped by strategic factors related to the firm's capacity to generate rents and value, the uncertainty of its resource advantage, and the competitive interaction between firm stakeholders and top management. This is done using an analytical framework in which the CEO and other firm stakeholders interact over the firm's resource surplus as utility‐maximizing claimants based on their relative bargaining power while providing shareholders their market‐based required return. Results from the model yield a number of cogent strategic insights and predictions on the causal interplay between CEO pay, firm growth and risk characteristics, stakeholder management, corporate strategy (e.g., offshoring production), and behavioral biases such as CEO optimism and overconfidence. Copyright © 2012 John Wiley & Sons, Ltd.     

Value creation and value capture with frictions

We use a formal value‐based model to study how frictions—incomplete linkages in the industry value chain that keep some parties from meeting and transacting—affect value creation and value capture. Frictions arise from search and switching costs and moderate the intensity of industry rivalry and the efficiency of the market. We find that firms with a competitive advantage prefer industries with less, but not zero, frictions. We show that rivalry interacts nontrivially with other competitive forces to affect industry attractiveness. Firm heterogeneity emerges naturally when we introduce resource development. Heterogeneity falls with frictions, but the sustainability of competitive advantage increases. Overall, we show that introducing frictions makes value‐based models very effective at integrating analyses at the industry, firm, and resource levels. Copyright © 2011 John Wiley & Sons, Ltd.     

Managerial decision making and firm performance under a resource‐based paradigm

A framework is presented that connects managerial decision making to resource building and firm performance. The framework takes a behavioral view of decision making and distinguishes two distinct decision‐making processes. First there is the creative conceptualization of new resource configurations that are intended to deliver competitive advantage. Then there is the painstaking development of resources required to implement strategy. We argue that heterogeneity in the resources of rival firms arises from the interplay of these two processes: resource conceptualization and resource development. Heterogeneity spawns performance differences that can be explained ex ante from characteristics of managerial decision‐making processes. We illustrate the approach in a simulated decision‐making environment representing a highly competitive and dynamically complex industry. Results from repeated simulation experiments conducted with executive and MBA students show vast differences in performance among firms, even when they started with identical resource positions. In a departure from traditional resource‐based literature, we explain how these differences stem from path dependent accumulation of resources and spontaneous variety in the way rivals conceptualize resources. Copyright © 2010 John Wiley & Sons, Ltd.     

信息产品需求特性与垄断性市场结构

信息产业在供给、需求、市场结构等方面具有与传统产业不同的一些特征。某些特征决定了信息产业中垄断性市场结构为一种常态。本文从信息产品的需求角度出发，通过假设临界点的方法，分别针对信息产品的网络效应和局部边际效用递增效应建立模型，分析了这两种效应对于垄断性市场结构形成的影响，揭示了信息产业在一定条件下垄断性市场结构效率优于完全竞争市场结构。本文表明，信息产品的需求效应对于信息产业的垄断市场结构有着重要影响，往往使得垄断结构强化表现出有利于社会整体福利的趋势。因此，在制定针对信息产业的反垄断政策时，需要考虑信息产业与传统产业的不同特质。本文还以流行音乐产业为例，对模型进行了初步的验证。