Network effects and preference heterogeneity in the case of mobile telecommunications markets

This paper demonstrates how revealed- and stated-preference analyses can be used for modeling network effects in the field of mobile telecommunications. The aim of this study was to verify if network effects may still play a role in the Polish mobile telecommunications market, measure their strength, identify their sources and variability across consumers by accounting for consumers' observable and unobservable preference heterogeneity, evaluate their monetary value to consumers, and finally, to verify if the marginal utility associated with network effects is constant. The analysis of consumers' revealed choices (currently used mobile telephone operator) allowed the identification of major differences between customer bases of incumbent and new entrant operators, and insight into the business strategies adopted in the presence of asymmetric regulation of mobile termination rates. The second part of the study—the analysis of the consumers' stated choices (made in carefully prepared and designed hypothetical choice situations, known as the choice experiments) made it possible to directly model consumers' utility functions and, in this way, investigate the nature of network effects in mobile telecommunications markets. From the results, the presence of strong network effects, which are related to the ratio of consumers' social network group using the same operator, and to the magnitude of on-net price discounts, is confirmed. These network effects can be disaggregated to pecuniary and non-pecuniary effects. Through the utilization of the random parameters multinomial logit model, consumers' observable and unobservable preference heterogeneity can be accounted for, which proved a scientifically revealing and potentially policy-relevant approach. The results might be of a particular interest to other researchers aiming at modeling consumers' preferences as well as to mobile telephone operators and regulatory authorities—it is shown that capacity for vigorous price competition between mobile operators is limited by non-price factors, which affect subscriber's choices, especially in the presence of asymmetric mobile termination rates.     

Network effects in mobile telecommunications markets: A comparative analysis of consumers' preferences in five Latin American countries

It has been shown that the presence of demand-side externalities can induce the market to benefit the largest firms in terms of market share, usually named as network effect by the theoretical literature. On the one hand, macro-level approach in the empirical literature of network effects commonly use the assumption that a network's overall size matters more to consumers' decisions (global network effects). On the other hand, micro-level studies have suggested that social networks are more relevant to consumers' choices than the overall network size (local network effects). Based on microdata from five Latin American countries, we compare the choice of a particular operator over choosing the largest operator by individual consumers. Our research shows that country-level network size is one among a set factors that determine consumers' choices of mobile operators, once individual and operators' country presence heterogeneity are considered. We find that consumers' local network decisions are important for the choice of operator in the majority of cases considered, and that this result is conditional on the chosen operator's market share. Furthermore, network characteristics and consumer preferences, such as coverage, tariffs, and network importance also affect the choice of mobile network for the Latin American context.     

Being Innovative While Being Green: An Experimental Inquiry into How Consumers Respond to Eco‐Innovative Product Designs

Eco‐innovations are an effective way for companies to strategically align themselves with customers’ growing environmental concerns. Despite their crucial role, scant research has focused on eco‐innovative product designs. Drawing from the sustainability and innovation literature, this article proposes that in the design of an eco‐innovation, its degree of innovativeness, level of eco‐friendliness, and detachability significantly affect consumers' adoption intentions. This article develops various conceptual models tested through three independent online experiments with U.S. consumers. The findings support the hypotheses and provide useful insights into the underlying mechanisms of how and why consumers respond to eco‐innovative product designs across various high‐tech product categories. Specifically, the results show (1) a positive effect of innovativeness degrees of eco‐innovative attributes on consumers' perceptions of product eco‐friendliness and on their adoption intentions as well as a significant moderating role of consumers' need for cognition (Study 1); (2) a positive influence of eco‐friendliness levels of eco‐innovative attributes on consumer adoption intentions in the case of high‐complexity products but not for low‐complexity products, emphasizing the need to adopt different approaches when developing eco‐innovations to ensure favorable consumer reactions (Study 2); and (3) a significant impact of the detachability of eco‐innovative attributes on consumers' perceptions of trade‐offs between environmental benefits and product functionality and on their intentions to adopt eco‐innovations (Study 3). These findings add to existing theoretical knowledge, provide actionable managerial implications, and identify fruitful avenues for future research.     

Consumer preferences and the international harmonization of organic standards

Harmonization of technical standards is often advocated as a means to remove technical barriers that reduce the welfare gains available from international trade. Organic standards are not currently harmonized internationally. If domestic organic standards reflect consumer tastes, and consumers have strong preferences for those standards, then harmonization to a common standard may reduce the benefits consumers receive from organic products. Through a consumer survey, conjoint analysis was used to explore the preferences of consumers in the US, the UK and Canada for organic food. The results suggest that consumers in the three countries do not have a strong attachment to the current national organic standards and that international harmonization may be a legitimate food policy goal.     

Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascading*

Firms design products that appeal to consumers and are feasible to produce. The resulting marketing and engineering design goals are driven by consumer preferences and engineering capabilities, two issues that conveniently are addressed in isolation from one another. This convenient isolation, however, typically will not result in optimal product decisions when the two problems are interrelated. A method new to the marketing community, analytical target cascading (ATC), is adopted here to explore such interrelationships and to formalize the process of coordinating marketing and engineering design problems in a way that is proven to yield the joint optimal solution. The ATC model is built atop well‐established marketing methodologies, such as conjoint, discrete choice modeling and demand forecasting. The method is demonstrated in the design of dial‐readout household scales, using real conjoint choice data and a parametric engineering product design model. Results indicate that the most profitable achievable product can fall short of predictions based on marketing alone but well ahead of what engineering may produce based on original marketing target specifications. A number of extensions can be accomplished readily using techniques from the extant marketing and design optimization literature.     

The Effects of Brand Strategy and Technological Uncertainty on Pioneering Advantage in the Multigenerational Product Market

This research investigates how brand strategy and technological uncertainty influence the order‐of‐entry effects for a previous generation pioneer in the successive generation. The findings of our longitudinal experiment reemphasize the importance of continuous pioneering, demonstrating that consumers exhibit a strong preference for a previous generation pioneer's product when it continues to pioneer the successive generation. More importantly, the findings indicate that continuous pioneering with a new brand leads to greater brand preferences when technological uncertainty is high. This is because in that condition, consumers perceive greater innovativeness with a new brand than with the extant one. On the other hand, an extant brand increases consumer brand preferences for a previous generation pioneer's product in the successive generation when technological uncertainty is low. The theoretical and practical implications of the results for understanding and managing pioneering advantage and brand strategy in the multigenerational product markets are discussed.     

How Do Consumer Characteristics Affect the Bias in Measuring Willingness to Pay for Innovative Products?

Getting the price right is essential for successful new product introductions. An accurate estimate of consumers' willingness to pay is a crucial part of this task. Measurement of willingness to pay for innovations, however, often yields biased results. In this paper, we investigate consumer‐related characteristics and motives that might underlie this bias. Drawing on the elaboration likelihood model, we develop a conceptual model to identify consumer characteristics relevant for preference measurement for innovative products. In doing so, two main factors that potentially influence hypothetical bias are distinguished: ability and motivation. Our conceptual discussion and empirical results demonstrate that the validity of willingness to pay statements is higher among consumers who show a high ability to assess the new product's utility and who are truly interested in purchasing the new product. Counter to intuition, willingness to pay statements from innovators, consumers with good product category knowledge, or consumers who perceive the new product to be highly innovative are relatively more biased and should be interpreted with caution. This research is among the first to look at consumer characteristics rather than methodological issues when it comes to measuring consumer willingness to pay for innovative products. Our conceptual discussion and empirical examination of the drivers of hypothetical bias can be used to refine the validity of the results of the direct willingness to pay approach. These findings should help improve new product pricing surveys and open new avenues for research in measuring consumer preferences.     

Enhancing Consumers' Affection for a Brand Using Product Design

Product design is an integral component of a brand and an important driver of brand equity. For the brand, product design is an important tool for driving differentiation, creating value for both the consumer and the firm, driving consumer preferences, and creating a sustainable competitive advantage. At the firm level, the importance of investing in design has been substantiated by studies that suggest firms capable of creating innovative design and providing superior consumer value perform better in the marketplace. Thus, product design clearly presents an important area of research for those studying and managing brands. In this context, the goal of this research is to explain the brand‐level affective outcomes that product‐level design features can create. This paper develops a conceptual framework and hypotheses that theoretically connect design‐based values, at the product level, to affective brand‐level relational outcomes with the brand. The drivers of product affection include social value, altruistic value, functional value, emotional value, and economic value. Analogous to “firm affection,” the paper postulates a brand affection construct that is defined as the passion and pride that a consumer feels about owning a brand. Using syndicated product‐level data from the automotive industry collected from a national sample of consumers, 712 useable consumer/product observations of 30 small vehicles are employed in the analysis. A confirmatory factor analysis and structural equation model are developed to test the conceptual model. This research finds that the social value and emotional value that a design provides to consumers have a greater effect on brand affection than purely transactional values, such as functional value or economic value. This research contributes to the literature by providing evidence that product design‐related values are multifaceted and can contribute to relational outcomes, such as brand affection. It contributes to practice by highlighting the means by which design can be used as a strategic tool to create a sustainable long‐lasting relationship with the consumer, and provides managers with a framework to assess the impact of design‐based values on long‐term relationship‐based outcomes. The results provide new insights about how consumers' perceptions of the value of product design at the product level can help create enduring relationships with brands.     

A Conjoint‐Hazard Model of the Timing of Buyers' Upgrading to Improved Versions of High‐Technology Products*

Understanding consumers' upgrading behavior is essential to product planning. Product managers would like to know what fraction of customers would upgrade to new and improved versions, and how fast. This paper presents a method to forecast the sales path of an improved version of a high‐technology product defined in terms of its price path and multiattribute product specification. The approach is potentially useful to managers to answer what‐if questions on the effects of alternative price paths and product specifications of the upgrade on when and what fraction of customers will upgrade. By doing such analysis for several product options under consideration, managers can choose the best feature specification and price path for the upgrade. The proposed approach integrates an individual‐level conjoint utility model with a hazard function specification. The first stage of estimation (i.e., conjoint analysis) measures individual‐level multiattribute utility functions, and the second stage (i.e., duration analysis) calibrates the coefficients of predictor variables of the time to upgrade via maximum likelihood. An illustrative application in the personal digital assistant (PDA) category confirms the predictive validity and potential usefulness of the proposed approach. Among the empirical findings are that higher upgrade costs and expectation of faster product improvement tend to delay buyers' upgrading decisions. The roles of other predictor variables such as product category characteristics, consumer characteristics, and peer pressure were also confirmed.     

The impact of firm introductory strategies on consumers' perceptions of future product introductions and purchase decisions

In this research, we develop and test a model of the consumer's decision to immediately purchase a technologically advanced product or to delay such a purchase until a future generation of the product is released. We propose that for technologically advancing products, consumers consider both performance lag (how far behind am I now) and expected performance gain (how far ahead will I be if I wait to buy a future expected release) in their purchase decisions. Furthermore, we hypothesize that a firm's past product introductory strategy can significantly influence consumer perceptions of performance lag, performance gain, and the rate at which a product is advancing technologically. We also propose that these perceptions of lag, gain and rate of technological change influence purchase action and ultimately determine whether or not a consumer will delay or immediately purchase a firm's current technological offering. We investigate the above relationships by introducing a model of consumer purchase behavior that incorporates the effects of a firm's frequency and pattern of next generation product introduction, and test the impact of different introductory strategies on performance lag, gain, rate of change perceptions, and purchase action. In our first study we test our model in a monopolistic setting and show that, holding all else fixed, infrequent product upgrades and/or increasing intergenerational release times result in consumers perceiving larger performance lags and gains. We also show that, holding all else fixed, consumers with larger performance lags and/or gains are less likely to delay their purchases of the currently best available product. In our second study we test our model in a competitive setting and show that, holding all else fixed, a firm's past pattern of new product introduction can influence consumers' perceptions of the firm's product's rate of technological change. We also find that consumers are more likely to purchase products which they perceive to have higher rates of technological change. The key insight from this research is that firms have a strategic tool at their disposal that has been overlooked—the pattern of introduction of next generation products. Our findings suggest that a change in the frequency and/or pattern of introduction, in and of themselves, can influence consumers' perceptions of future product introductions, and ultimately influence their purchase actions. Specifically, we demonstrate that by better understanding consumers' purchase timing decisions, firms may be able to induce purchase on the basis of introductory frequency and pattern alone. Additionally, we demonstrate that by strategically managing consumer expectations of future product introductions, firms may be able to decrease the purchase likelihoods of competing products. Implications of our research and its application to the pattern and timing of preannouncements for new products are also explored.     

Exploring the mass adoption of third-generation (3G) mobile phones in Taiwan

Given that no all new mobile telecommunications technology are accepted by the mass market, this study aims to understand the mass adoption of third-generation (3G) mobile phones that is hypothesized to comprise three consumer perceptions: new technology, new service, and new handset. Based on the theoretical framework of a consumer's decision making process, an empirical study of the mass adoption of 3G mobile phones in Taiwan was conducted. This study demonstrated that perceived utility of a new mobile service was a key factor that resulted in mass adoption. Further, it was found that perceived utility of a new handset directly stimulate consumers to purchase 3G mobile phones. Perceived risk and perceived expense are not negatively correlated with intentions as hypothesized. Moreover, perceived no need was another key factor that inhibited adoption and purchase intention.     

Mass or Only “Niche Customization”? Why We Should Interpret Configuration Toolkits as Learning Instruments

In order to configure individual products according to their own preferences, customers are required to know what they want. While most research simply assumes that consumers have sufficient preference insight to do so, a number of psychologically oriented scholars have recently voiced serious concerns about this assumption. They argue that decades of consumer behavior research have shown that most consumers in most product categories lack this knowledge. Not knowing what one wants means being unable to specify what one wants—and therefore, they conclude, the majority of customers are unable to use configuration toolkits in a meaningful way. In essence, this would mean that mass customization should rather be termed “niche customization” as it will be doomed to remain a concept for a very small minority of customers only. This pessimism stands in sharp contrast to the optimism of those who herald the new possibilities enabled by advances in communication and production technologies as the dawn of a new era in new product development and business in general. Which position is right? In order to answer this question, this research investigates the role of the configuration toolkit. Implicitly, the skeptic position assumes that the individual customers' knowledge (or absence of knowledge) of what they want is an exogenous and constant term that does not change during the interaction with the toolkit. However, learning theories suggest that the customers' trial‐and‐error interaction with the configuration toolkit and the feedback information they receive should increase their preference insight. If this was true and the effect size strong, it would mean that low a priori preference insight does not impede customers to derive value from mass customization. Three experiments show that configuration toolkits should be interpreted as learning instruments that allow consumers to understand their preferences more clearly. Even short trial‐and‐error self‐design processes with conventional toolkits bring about substantial and time‐stable enhancements of preference insight. The value of this knowledge is remarkable. In the product category of self‐designed watches, the 10‐minute design process resulted in additional preference insight worth 43.13 euros on average or +66%, measured by incentive‐compatible auctions. A moderator analysis in a representative sample shows that the learning effect is particularly strong among customers who initially exhibit low levels of preference insight. These findings entail three contributions. First, it becomes evident that the interaction with mass customization toolkits not only triggers affective reactions among customers but also has cognitive effects—a response category not investigated before. Second, it suggests that the pessimism regarding the mass appeal of these toolkits is not justified—mass customization has the potential to truly deserve its name. The prerequisite for this, and this normative conclusion is the final contribution, is that the toolkit should not be interpreted as a mere interface for conveying preexisting preferences to the producer. Rather, it should be treated as a learning instrument. Several suggestions are made for how firms employing this innovative business model could design their toolkits towards this end.     

The Role of Product Originality,Usefulness and Motivated Consumer Innovativeness in New Product Adoption Intentions

Prior research has posited that product attributes are primary drivers of success that a firm must consider to develop a competitive advantage. Two product attributes, originality and usefulness, have been identified in the literature as significant dimensions of new product success. Customer demands differ, and more purchase intentions toward a new product depend on how consumers connect the product attributes to their own individual characteristics. Studying motivated consumer innovativeness as a personality trait may improve our understanding of the motivations for adopting innovations; however, questions remain regarding whether the effects of originality and usefulness on consumers' intentions to adopt are different when levels of these attributes are matching or dissimilar and what the relationship is between these effects and motivated consumer innovativeness. This study seeks to empirically investigate these effects and their relations by collecting data from 560 potential consumers in China. This paper uses hierarchical regression analysis to test hypotheses in four product domains as representative of higher or lower levels of usefulness and originality. The research shows that new product originality affects consumers' intentions to adopt new products only if it matches the level of new product usefulness. The results also reveal that motivated consumer innovativeness has a positive moderating role on the relationship between new product originality and consumers' new product adoption intentions when both attributes are at a lower level. The theoretical and practical implications for new product development and marketing communications are discussed.     

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.     

MARKET SEGMENTATION WITH NONLINEAR PRICING*

We study the benefits and drawbacks of allowing firms to offer different price‐quality menus to captive consumers and to consumers more exposed to competition (market segmentation). We show that the effect of market segmentation depends on the relationship between the range of consumer preferences found in captive and competitive markets. When the range of consumer preferences in captive markets is ‘wide,’ segmentation is quality and (aggregate) welfare reducing, while the opposite holds when the range of consumer preferences in captive markets is ‘narrow.’ Segmentation always harms captive consumers, while it always benefits consumers located in competitive markets.     

“Am I Getting It or Not?” The Practices Involved in “Trying to Consume” a New Technology

In recent years, high rates of failure of technology‐based products have spurred interest in understanding the psychological and sociological barriers to consumer learning of technological innovations. The main focus of this research was to examine the learning process and consumers’ coping mechanisms when they encounter technological innovations. A study was designed to understand the learning process in real time as consumers engaged in a set of activities associated with the novel interface. The goal was to investigate how consumers cope with high levels of complexity during their initial interactions with a technology‐based product and how their coping strategies may hinder the learning process. Verbal protocol measures were used in order to understand the consumer's learning process as he or she interacts with a technology‐based product in real time. They were told that they would have to think aloud while performing certain tasks and that their thoughts would be recorded for further analysis. The personal digital assistant (PDA) with handwriting recognition as its interface was chosen for this study. The main task for the participants was to learn how to use Graffiti writing—i.e., the product's handwriting recognition software. We proceeded to a thematic analysis in which interpretations were generated by the researchers going back and forth between the transcribed texts, the developing interpretation, the new interface itself, and also the relevant literature. The results suggest that the new product's interface serves to structure the consumer's learning process even as he or she responds in relatively unstructured ways. The findings identify three basic factors that interfere with the learning process during consumers’ initial interactions with a technological innovation: interface and functionality practices, social influence, and causal attributions. Specifically, the results suggest that in designing technology‐based products there is a gap between the levels of know‐how between the manufacturer and the user. The challenge for manufacturers is to understand the consumer's learning experience and coping strategies and provide mechanisms that would make the transition easy and intuitive. This could be achieved by incorporating into the new interface some degree of flexibility that will allow consumers to modify tasks based on their preferences, or by including indicators that will provide feedback to the user. Furthermore, in the context of communication strategies, in order to minimize the negative impact that prior knowledge and social influence may have on learning, marketers could communicate specific steps describing how to use the new interface.     

The virtual customer

Communication and information technologies are adding new capabilities for rapid and inexpensive customer input to all stages of the product development (PD) process. In this article we review six web‐based methods of customer input as examples of the improved Internet capabilities of communication, conceptualization, and computation. For each method we give examples of user‐interfaces, initial applications, and validity tests. We critique the applicability of the methods for use in the various stages of PD and discuss how they complement existing methods. For example, during the fuzzy front end of PD the information pump enables customers to interact with each other in a web‐based game that provides incentives for truth‐telling and thinking hard, thus providing new ways for customers to verbalize the product features that are important to them. Fast polyhedral adaptive conjoint estimation enables PD teams to screen larger numbers of product features inexpensively to identify and measure the importance of the most promising features for further development. Meanwhile, interactive web‐based conjoint analysis interfaces are moving this proven set of methods to the web while exploiting new capabilities to present products, features, product use, and marketing elements in streaming multimedia representations. User design exploits the interactivity of the web to enable users to design their own virtual products thus enabling the PD team to understand complex feature interactions and enabling customers to learn their own preferences for new products. These methods can be valuable for identifying opportunities, improving the design and engineering of products, and testing ideas and concepts much earlier in the process when less time and money is at risk. As products move toward pretesting and testing, virtual concept testing on the web enables PD teams to test concepts without actually building the product. Further, by combining virtual concepts and the ability of customers to interact with one another in a stock‐market‐like game, securities trading of concepts provides a novel way to identify winning concepts. Prototypes of all six methods are available and have been tested with real products and real customers. These tests demonstrate reliability for web‐based conjoint analysis, polyhedral methods, virtual concept testing, and stock‐market‐like trading; external validity for web‐based conjoint analysis and polyhedral methods; and consistency for web‐based conjoint analysis versus user design. We report on these tests, commercial applications, and other evaluations. © 2002 Elsevier Science Inc. All rights reserved.     

The Effect of New Product Preannouncements on the Evaluation of Other Brand Products

Some firms preannounce new products long before they are actually available on the market. Previous research has investigated the effects of such new product preannouncements (NPPs) on consumer and competitor responses. This paper examines how NPPs affect consumers' construal of and preferences for the new product and, in turn, how these evaluations influence their preferences for the brands' other products. Specifically, the paper demonstrates that consumers' construal level of NPPs spills over to their construal of other products in the brand family, causing a positive, biased evaluation of these products. Three experimental studies reveal that the mere information about an NPP can shift evaluation of currently available brand products in a positive direction through construal‐level spillover and increased perceptions of similarity. The studies contrast NPPs to new product announcements (NPAs) and consistently find more positive results for the former. Moreover, the studies find that product newness has a moderating effect on the results, such that the positive spillover effects are more pronounced for really new products than for incrementally new products. The results also show that the effects are contingent on the credibility of the NPP: If consumers do not consider the NPPs credible, no positive spillover effects will materialize. Finally, the studies demonstrate that the positive evaluative spillover is specific to the products in the brand family and does not affect consumers' perceptions or choice of competitor products. Consumers actually rate the competing brand's remaining products lower when the focal brand engages in NPPs. The study has important implications for managers regarding how to use NPPs to influence consumers' construal and evaluations of brand products.     

The Predictive Power of Internet-Based Product Concept Testing Using Visual Depiction and Animation

One critical step in new product development is selecting from among multiple possible product concepts the one that the firm will carry forward into the marketplace. There is a need for low‐cost, parallel testing of the appeal of new product concepts, the results of which closely mirror ultimate market performance. In this article, the authors first describe an Internet‐based product concept testing method they developed that incorporates virtual prototypes of new product concepts, substituting them for physical prototypes. The method can be used with either static representations of the products or with dynamic representations that demonstrate how the product works through a simulated video clip of its operation. The objective of this method is to allow design teams to select the best of several new concepts within a product category with which to proceed, without having to develop physical prototypes. The authors then provide a rigorous test of both virtual prototype methods against tests using both physical prototypes and attribute‐only (i.e., no visuals), full‐profile conjoint analysis. Nine concepts compete against two actual products in the tests. Market shares from the test using the physical prototypes are defined as the “actual” market shares. Predicted market shares for the attribute‐only, full‐profile conjoint analysis and each of the two virtual prototype methods are compared to those obtained for the physical prototypes. Both static and animated virtual prototype tests produced market shares that closely mirrored those obtained with the physical products, outperforming the set of predictions across the full range of products produced in the attribute‐only conjoint analysis. Interestingly, the attribute‐only conjoint analysis identified the top three products, in correct order. It was unable to differentiate performance below these top three products. Furthermore, it predicted market shares for the top three products to be well below those achieved using physical prototypes. As virtual prototypes cost considerably less to build and test than their physical counterparts, design teams using Internet‐based product concept research may be able to afford to explore a much larger number of concepts. Virtual prototypes and the testing methods associated with them may help reduce the uncertainty and cost of new product introductions by allowing more ideas to be concept tested in parallel with target consumers.     

Anti‐Competitive Interconnection: the effects of the elasticity of consumers' expectations and the shape of the network effects function

I find that interconnection might cause the market to be less competitive, and might lead to an increase in the price firms charge for their product. Absent interconnection, firms compete for a consumer for two reasons. The first reason is to obtain revenue from selling the product to a consumer (as in the case without network effects). The second reason is that by expanding the network by one more consumer, the product becomes more attractive to all other consumers. Interconnection eliminates the second reason—when firms interconnect, they are no longer concerned with consumers' following the crowd. I show that consumers and society might be worse off from interconnection. I focus on two factors that make the (post‐interconnection) price increase larger: consumer expectations that are highly sensitive to prices and consumers putting a high value on small increases in network size at the equilibrium market shares. Both of these factors make firms highly competitive, but only if the firms' products' networks are not interconnected.