The character of demand in mature organic food markets: Great Britain and Denmark compared

We investigate the organic food market in two selected European countries, Great Britain and Denmark, identifying main differences and similarities. We focus particularly on consumer perceptions and priorities, labelling schemes, and sales channels as a basis for assessing market stability and prospects for future growth. We employ a unique set of household panel data that includes information on stated values and concerns as well as registered purchasing behaviour. Most organic food on both markets is produced and processed by large-scale industrialised units and distributed through mainstream sales channels, consumer confidence being sustained at present by organic labelling schemes that appear to function well. However, a parallel market, based on the supply of goods through various direct sales channels to heavy users, prevails. We find that organic food purchase decisions are primarily motivated by ‘private good’ attributes such as freshness, taste and health benefits, attributes that may be perceived as being compatible with modern production and sales structure. Mature markets for organic foods nevertheless appear to be vulnerable to consumer dissatisfaction, particularly among heavy users of organic food products.     

Segmentation, advertising and prices

This paper explores the implications of market segmentation on firm competitiveness. In contrast to earlier work, here market segmentation is minimal in the sense that it is based on consumer attributes that are completely unrelated to tastes. We show that when the market is comprised by two consumer segments and when there is sufficient variation in the per-consumer costs firms need to incur to access the different consumer populations, then firms obtain positive profits in symmetric equilibrium. Otherwise, the equilibrium is characterized by zero profits. As a result, a minimal form of market segmentation combined with advertising cost asymmetries across consumer segments give firms an opportunity to generate positive rents in an otherwise Bertrand-like environment.     

Competition in the Korean Internet Portal Market: Network Effects, Profit, and Market Efficiency

Internet portals serve as platforms for coordinating advertisements, content, and user markets. We model portal structure with South Korean market data to explain network effects and other competition factors. We also analyze network effects on profit and market efficiency. The results indicate a negative network effect from banner advertisements in the user market, which is countered by a network effect from content provision. In the advertising market, the network effect from user demand is positively identified, which explains profit making through increased user visits. Furthermore, we show that network effects due to market concentration result in increases in consumer surplus.     

Location and competition in retail banking

We investigate the impact of banking deregulation during the 1990s on consumer welfare. We estimate a spatial model of consumer demand for retail bank deposits that explicitly accounts for consumer disutility from distance traveled. This is important given the substantial changes in banks' branch networks observed in the data. Our model indicates that cross-price elasticities between banks whose branches are close to consumers (‘close’ banks) are larger than those between ‘far’ banks and more than double the cross-price elasticity of ‘close’ banks with respect to ‘far’ banks. We distinguish between thrifts and other banks and find that within-thrift competitive effects are stronger than within-bank effects or those between thrifts and banks. We use our estimates to predict the effect of changes in market structure on consumer welfare following the branching deregulation of the Riegle–Neal Act of 1994. Our results indicate that the median household gained around $60 per year from the changes. Approximately two thirds of the gains come from within-market changes in market structure. The gains were greater in markets with high initial numbers of banks than elsewhere.     

Estimation of Search Frictions in the British Electricity Market

This paper studies consumer search and pricing behavior in the British domestic electricity market following its opening to competition in 1999. We develop a sequential search model in which an incumbent and an entrant group compete for consumers who find it costly to obtain information on prices other than from their current supplier. We use a large data set on prices and input costs to structurally estimate the model. Our estimates indicate that consumer search costs must be relatively high in order to rationalize observed pricing patterns. We confront our estimates with observed switching behavior and find they match well.     

Big data׳s impact on privacy,security and consumer welfare

The purpose of this paper is to highlight the costs, benefits, and externalities associated with organizations׳ use of big data. Specifically, it investigates how various inherent characteristics of big data are related to privacy, security and consumer welfare. The relation between characteristics of big data and privacy, security and consumer welfare issues are examined from the standpoints of data collection, storing, sharing and accessibility. The paper also discusses how privacy, security and welfare effects of big data are likely to vary across consumers of different levels of sophistication, vulnerability and technological savviness.     

Ain't it “suite”? Bundling in the PC office software market

Research Summary: We examine the importance of office suites for the evolution of the personal computer (PC) office software market in the 1990s. An estimated discrete‐choice model reveals a positive correlation of consumer values for spreadsheets and wordprocessors, a bonus value for suites, and advantages for Microsoft products. We employ the estimates to simulate various hypothetical market structures to evaluate the profitability, welfare, and competitive effects of suites under alternative correlation assumptions. We find that firms benefit greatly from bundling components (i.e., a spreadsheet and a word processor) when the correlation of consumer preferences over the components in the bundle is positive. Our work adds another aspect to the recent work in the strategy literature that examines benefits from bundling when there are complementary relationships across the products in the bundle. Managerial Summary: Our research helps managers understand the conditions under which product bundling is likely to be most profitable. We show that one key to enhanced profitability is the correlation in consumer preferences over the individual products. We consider the performance implications of bundling under a variety of alternative market structures and competitive environments. Our analysis reveals that firms benefit greatly from bundling when the correlation of consumer valuations over the products is positive. Consumers benefit as well. Hence, bundling is a win‐win for firms and their customers. Since profits increase by more than consumer surplus, bundling leads to increased value capture by the firms. Consequently, it may be profitable for firms to invest in actively increasing the correlation in consumer preferences over products in the bundle.     

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.     

B2B analytics in the airline market: Harnessing the power of consumer big data

This paper utilizes market-level data to explore the relative performance of individual companies amongst defined competitors. We show the potential of using consumer clickstream data, an important type of big data, to create a new set of B2B analytical frameworks. In the markets where complex interactions between competitors, search intermediaries and consumers create a network, B2B relationships can be inferred from consumer search patterns, and can then be modeled to gauge the online performance. A commercial dataset from ComScore’s US panel of one million users is used to illustrate a new approach to measure and evaluate the online performance of competitors in the US airline market. The methodology and associated performance framework demonstrate the potential for new forms of market intelligence based on the visualization of market networks, online performance calculated from matrix algorithms, the measurement of the impact of search intermediaries, and the identification of latent relationships. This research makes theoretical and empirical contributions to the debate on the use of big data for B2B market analytics. B2B managers can use this approach to extend their network horizon from an egocentric to a network view of competition and map out their competitive landscape from the perspective of the customer.     

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.     

Third-Degree Price Discrimination in Oligopoly when Markets are Covered*

We analyze oligopolistic third-degree price discrimination relative to uniform pricing when markets are covered. Pricing equilibria are critically determined by supply-side features such as the number of firms and their marginal cost differences. It follows that each firm's Lerner index under uniform pricing is equal to the weighted harmonic mean of the firm's relative margins under discriminatory pricing. Uniform pricing then lowers average prices and raises consumer surplus. We can calculate the gain in consumer surplus and loss in firms' profits from uniform pricing based only on the market data of the discriminatory equilibrium (i.e., prices and quantities).     

The impact of mandatory trans fat labeling on product mix and consumer choice: A longitudinal analysis of the U.S. Market for margarine and spreads

The impact of changes in food labeling policy on food consumption depends on how market participants—both firms and consumers—react to the changes across all products in the market. We investigate how both responded to the U.S. Food and Drug Administration’s 2006 rule mandating that the quantity of trans fat in food products be separately labeled on the mandatory Nutrition Facts Panel across an entire differentiated product category. Using a longitudinal data set tracking both product offerings and consumer purchases in the market for margarine and spreads for over a decade, we analyze how product mix and consumer purchase behaviors were influenced by the new regulatory requirement. We find that the number of products bearing voluntary “trans fat free” labels increased after the labeling regulation was implemented. However, a large number of the newly introduced products exited the market within five years. As a result, the FDA’s 2006 rule had a stronger short-run than long-run effect on product offerings. Even after the introduction of additional “trans fat free” labeled products, such products remained only a small percentage of margarine and spreads product offerings, increasing from a pre-regulation level of 2.3% of the market to a peak of 6.5% in 2007 before dropping to 3.1% by 2011. In addition to firm response, we examine demand-side reactions to the 2006 rule and find that consumers significantly increased their expenditures on “trans fat free” labeled products soon after the labeling changes were implemented, increasing from about 1.2% of the market in 2001 to a peak of 5.9% in 2007, before returning to 1.8% in 2011. We further explore variations in responses across different demographic characteristics. Although long-run effects are small, the market for “trans fat free” labeled margarine and spreads settled into a new equilibrium with a somewhat higher level of products in the market than prior to the 2006 rule taking effect and a somewhat higher share of expenditures in the category. Overall, our category-wide analysis of both firm and consumer behavior indicates that the effects of the labeling policy change were smaller in the longer run in this market than would be indicated by an analysis of only new product introductions in response to the policy change.     

Inducing Customers to Try New Goods

In recent years, progresses in data mining and business analytics have fostered the advent of recommender systems, behavioral advertising, and other ways of using consumer data to personalize offers and products. We investigate the incentives for sellers to invest in systems that allow the tracking of consumers and then to truthfully report whether potential buyers will enjoy yet untried products. We find that there are two types of equilibria: For some parameter values, sellers will target all potential buyers, hence their targeted ads or purchase recommendations provide no benefit to the consumer. But for other values, ads and recommendations will be accurate. In particular, the incentive for the seller to provide accurate ads and recommendations will be inversely related to the difference between the cost of producing the good and its average market evaluation.     

WHO COMPETES WITH WHOM? THE CASE OF DEPOSITORY INSTITUTIONS*

The willingness of consumers to substitute between banks and thrifts and between multimarket and single‐market institutions is of strong interest to policymakers, yet little empirical work exists in this area. We estimate a structural model of consumer choice of depository institutions using a broadly representative panel data set covering the U.S. from 1990–2001. Using a flexible framework, we uncover utility parameters that affect a consumer's institution choice and measure the degree of market segmentation for two institutional subgroups. Our estimated parameters, elasticities and policy experiments suggest limited substitutability between banks and thrifts and between multimarket and single‐market institutions, especially in urban markets.     

Vertical integration in the TV market: Exclusive provision and program quality

We study how vertical integration in a media market affects investments in premium content. We show that a content provider provides the premium content exclusively to a platform, regardless of the vertical structure of the industry. However, a vertically integrated content provider has lower incentives to invest in quality than an independent one. With asymmetric platforms, the platform with a competitive advantage in the advertising market obtains the exclusive content, and the content provider invests even less when it is integrated with it. We show that the content provider prefers to merge with the platform with a competitive advantage in the advertising market. Vertical integration reduces both consumer and total surplus. Our results suggest that authorities should carefully assess the effects of vertical mergers on the incentives to invest in content quality, incorporating non-price measures in merger analysis. An intervention at the distribution stage that enforces non-exclusive provision reduces quality and may have adverse effects on consumer and total surplus.     

Speed isn't everything: A multi-criteria analysis of the broadband consumer experience in the UK

In this paper, we demonstrate that there is more to consumer experience than just broadband access speed. We identify and describe a complex and dynamic set of interactions that occur between different factors that collectively determine consumer experience. We suggest that the relationship between broadband speed and consumer experience follows an inverted U-shape. Access speed is necessary to provide consumers with a good experience, but it is not sufficient. Based on our findings, a more nuanced understanding of the market for broadband Internet access products is outlined and a foundation for deriving valuable policy implications is developed.     

The impact of shopbot use on prices and price dispersion: Evidence from online book retailing

Internet price search tools, notably shopbots, have reduced consumers' search costs for price and product characteristics. While a variety of analytic models predict that increased consumer search will lower price levels among competing retailers, there is no consensus in the literature as to how price dispersion will change with increased consumer search. Moreover, there are no papers that have empirically tested these predictions using direct observation of variation in shopbot use over time.This paper examines the impact of changes in shopbot use over time on pricing behavior in the Internet book market. We do this by combining price and clickstream data collected from August 1999 to July 2001 — a period of rapid expansion in shopbot use. We find that a 1% increase in shopbot use is correlated with a $0.41 decrease in price levels and a 1.1% decrease in price dispersion.     

Successful service retail channel expansions: The roles of technical and brand integration

Service retail channel (SRC) expansion is common in B2B markets, but expansions into high-tech channels involve substantial market failure risks. Successful expansions create questions about the best way to integrate new and existing channels. Should the firm use its existing brand to market the new channel, or should it develop a new brand? Should the technology for the new channel be developed in-house or outsourced? The level of integration of both marketing and technical assets determines the perceived consumer benefits and market acceptance of high-tech SRCs. Using the concepts of risk, resources, and control, this study proposes a theoretical framework, tested with data about Internet banking in the United States. The results show that integration decisions have important, counterintuitive consequences. Specifically technical integration leads to higher perceived consumer benefits and thus greater market acceptance, whereas brand integration lowers the market acceptance of a new SRC.     

Consumer perceptions and the effects of country of origin labeling on purchasing decisions and welfare

The study develops a general analytical framework of heterogeneous consumer preferences to examine the effects of country of origin labeling (COOL) regulation on consumer purchasing decisions and welfare. We show that while differences in consumer perceptions about COOL information, namely, whether it is viewed as an attribute that differentiates products vertically or horizontally, do not alter the nature of the market and consumer welfare effects of mandatory COOL, the relative strength of consumer preferences for COOL are shown to be important in determining the magnitude of these effects. In addition, our results show that the benchmark used (a no COOL versus a voluntary COOL regime) is critical in evaluating the effects of the policy. We show that, under both horizontal and vertical product differentiation, a change from a no COOL to a mandatory COOL regime decreases (increases) the welfare of consumers with weak (strong) preference for COOL while a change from a voluntary to a mandatory COOL regime leads to an unambiguous loss in consumer welfare.