Manipulation Through Biased Product Reviews*

We study a signal-jamming model of product review manipulation in which rational consumers consult product reviews and price to better estimate a product's quality, and a firm, whose quality is either high or low, chooses its price and how much bias to insert into product reviews. We show that both firm types always exert positive effort to manipulate product reviews, and, depending on the equilibrium price level, one or both of them can increase its sales. When the high-type firm exerts more effort than the low-type, review manipulation benefits consumers by raising [lowering] their demand for the high-quality [low-quality] product.     

Brand versus generic advertising and the decision to advertise collectively

This study uses Lancaster's (1966, 1979) characteristics model of consumer theory, combined with imperfect information, to support a firm's advertising choice of a combination of brand and generic advertising. However, as consumers become well educated about a firm's product, spillovers from generic advertising become large. When spillovers are large, firms have a greater incentive to collude on generic advertising. The firm's decision to include advertising collectively with its competitors will follow from its own analysis of the benefits versus the costs of such a union. The success of collective advertising may, however, depend on the control of free-riders.     

Competitive targeted online advertising

This paper examines how an online publisher utilizes its information about consumer preference to target advertising. In our model, two firms first bid for a prominent ad position in a publisher-organized position auction, and then compete on price in the subsequent product marketplace. We consider two dimensions of consumer heterogeneity. First, consumers are heterogeneous in product preference. Based on their tastes, some consumers prefer one product over the other, whereas other consumers may rank the products in an opposite order. Second, consumers differ in search preference, i.e., “nonshoppers” only consider the advertised product, while “shoppers” always search both firms’ products before buying. We show that targeted advertising based on product preference will mitigate price competition in product markets as well as competition in position auctions, the latter to the detriment of the publisher. In contrast, targeted advertising based on search preference always benefits the publisher, as the winning firm can charge monopoly prices to nonshoppers. We show that the publisher’s optimal choice is to utilize only the information about consumer search preference. We also explore the welfare implications of targeted advertising based on different types of consumer preference.     

Analysis on product rollover strategies: The innovation level perspective

We focus on the firm's decision on product rollover strategies from the view of innovation level. Consider an innovative firm produces and sells durable goods to strategic consumers over two periods. In period one, the firm offers a product with a low innovation level. During that period, the firm continues to innovate such that a product with a high innovation level can be offered in period two. The analysis is separated into two parts: minor-to-moderate innovation and major innovation. We find that the rollover decision is considerably different when the innovation is minor-to-moderate from when the innovation is major. In the former case, the optimality of each rollover strategy is fully determined by the innovation level of the product introduced in period two and the customers' discounter factor; whereas in the latter case, the single rollover strategy always dominates the dual rollover strategy. Moreover, the firm's pricing policy under single rollover is strongly dependent on the innovation level of the product introduced in period two. Whereas under dual rollover, the firm's pricing decision is independent of the innovation level. Finally, it is to be noted that the findings in this research are mainly contingent on the model framework.     

Let them go? How losing employees to competitors can enhance firm status

Research summary : Because employees can provide a firm with human capital advantages over competitors, firms invest considerably in employee recruiting and retention. Departing from the retention imperative of strategic human capital management, we propose that certain employee departures can enhance a firm's competitiveness in the labor market. Specifically, increased rates of career‐advancing departures by a firm's employees can signal to potential future employees that the firm offers a prestigious employment experience that enhances external mobility opportunities. Characterizing advancement based on subsequent employers and positions, we analyze data on U.S. law firm hiring and industry surveys of perceived firm status between 2004 and 2013. We find that increased rates of employee departures lead to increases in a firm's prestige when these departures are for promotions with high‐status competitors. Managerial summary : Firms often emphasize employee retention. Employee departures, especially as a result of being hired away by competitors, are often viewed as threats to a firm's competitive advantage. We propose, however, that employee retention need not be an unconditional strategic imperative. We argue that certain employee departures can enhance a firm's competitiveness in the market for human capital by signaling to potential employees that the firm offers a prestigious employment experience, which can help them obtain attractive positions with other employers. Analyzing data on U.S. law firm hiring and industry surveys of firm associates between 2004 and 2013, we find that increased rates of employee departures lead to increases in a firm's prestige when these departures are for promotions with high‐status competitors. Copyright © 2016 John Wiley & Sons, Ltd.     

Profit-sharing between an open-source firm and application developers — Maximizing profits from applications and in-application advertisements

More and more for-profit organizations are promoting their products using open-source strategies. In Google's Android open-source project, the open-source firm and application developers share profits from the sales of paid applications and advertisements in free applications. Recently, the open-source strategy has received considerable attention in the literature. However, the profit-sharing model and in-application advertisements have not been well studied in the context of an open-source business. These are critical gaps in the literature, since the open-source firm may utilize a profit-sharing scheme to exercise non-coercive power and to grow the user network and advertising business. We propose a model to understand how the profit-share percentage and the percentage of paid applications, in relation to the size of the user network, affect the open-source firm's profits from applications and in-application advertisements. Our study shows that growing the user network does not necessarily increase the open-source firm's profit. Further, the study suggests that the optimal profit-share percentage maximizing the open-source firm's profit from advertisements is lower than that maximizing the profit from applications. Additionally, our study illustrates a potential threat of application developers' opportunistic behavior against the open-source firm.     

Knowledge diversity and coordination: The effect of intrafirm inventor task networks on absorption speed

Research Summary: We combine the absorptive capacity and social network theory approaches to predict how intrafirm “whole” network characteristics affect the firm's speed of absorption of external knowledge to produce inventions. We start from the widely accepted view that distant, externally‐developed knowledge is difficult to absorb into the focal firm's own knowledge production. We suggest that high levels of intrafirm inventor task network diversity and task network density are essential for a diversity of knowledge inputs and coordinated actions regarding knowledge transfer, which in turn, reduces problems related to the absorption of knowledge—especially in the case of knowledge that is distant from the focal firm. The results of an event history study of 113 pharmaceutical firms that engaged in technology in‐licensing from 1986 to 2003 provide general support for our hypotheses. Managerial Summary: Firms keen to keep up with an uncertain and ever‐changing industry environment, can benefit from the speedy introduction of inventions. We examine how firms absorb licensed‐in technologies to nurture the rapid development of own related inventions. We show that a firm's absorption speed depends on the characteristics of the internal collaboration networks among the firm's inventor employees. More specifically, technologically diverse and well‐connected inventor networks improve the firm's ability to absorb external technologies quickly. This applies especially to externally acquired technologies that are unfamiliar to the firm. Depending on the distance of the acquired technology from the focal firm combined with speed‐inducing inventor network characteristics, our estimates suggest that firms can reduce the time needed for absorption by several months.     

Customer information resources advantage,marketing strategy and business performance: A market resources based view

Chief among a firm's market-based resources are its relational resources such as brand equity, customer equity and channel equity that result from its interactions with customers and marketing intermediaries, and intellectual resources – accumulated knowledge about entities in the market environment such as consumers, end use and intermediate customers and competitors. In the evolving digital data rich market environment, customer-based resources, a subset of a firm's market-based resources, are becoming increasingly important as potential sources of competitive advantage. Customer information assets refer to information of economic value about customers owned by a firm. Information analysis capabilities are complex bundles of skills and knowledge embedded in a firm's organizational processes employed to generate customer knowledge from customer information assets. Customer insights or knowledge is a firm's extent of understanding of customers that informs its business decisions. Building on the resource-based, capabilities-based and knowledge-based views of the firm, resource advantage theory of competition, and the outside-in and inside-out approaches to strategy, this article presents a market resources-based view of strategy, competitive advantage and performance. The article presents a framework delineating the relationship between a firm's customer information based resources, marketing strategy and performance, and discusses implications for theory, research and practice.     

Referrals in search markets

This paper compares the equilibrium outcomes in search markets with and without referrals. Although it seems clear that consumers would benefit from referrals, it is not at all clear whether firms would unilaterally provide information about competing offers since such information could encourage consumers to purchase the product elsewhere. In a model of a horizontally differentiated product market with sequential consumer search, we show that valuable referrals can arise in the equilibrium: a firm will give referrals to consumers whose ideal product is sufficiently far away from the firm's offering. We allow firms to price-discriminate among consumers, and consumers to misrepresent their tastes. We found that the equilibrium profits tend to be higher in markets with referrals than in markets without. Consumers tend to be better off in the presence of referrals when search costs are not too low, and under a certain parameter range, referrals lead to a Pareto improvement.     

Pricing with Endogenous Direct Advertising in a Monopoly

This paper develops a model of informative advertising in which a firm builds a database using its historical sales records in order to directly target ads on those consumers who have a high probability of purchasing its products. We show that the firm can use this type of direct advertising as a screening mechanism to identify high demand consumers. As a result, direct advertising can work essentially as a device to increase a firm's monopoly power. From a social point of view, this implies that the transition from traditional mass-advertising to direct advertising can generate a trade-off between higher advertising efficiency and greater monopoly power. We compute the model to shed light on the relative strength of these two forces, and find that while direct advertising might have a substantial negative impact on consumers, this advertising technology can only occasionally reduce welfare.     

Finite Optimal Penalties for False Advertising

I consider a setting in which firms have unverifiable private information about their type, which corresponds to their probable product quality; firms can expend a learning cost in order to observe their quality; and the regulator can enforce false advertising penalties contingent only on verifiable realized quality. I show that it may be socially optimal for high type firms to signal their type through ‘speculative claims,’ rather than to learn and signal their quality. This implies that socially optimal false advertising penalties are finite, in contrast to the literature's common assumption of arbitrarily high false advertising penalties, and that the regulator optimally tolerates the existence of some false claims in equilibrium.     

The Paradox of Openness: How Product and Patenting Experience Affect R&D Sourcing in China?

External R&D sourcing may help firms compete in an environment characterized by rapid technological changes. Yet, prior studies have produced conflicting findings on how a firm's technological experience affects the extent to which the firm engages in external R&D sourcing. Although many highlight that firms with extensive technological experience are equipped with more technological knowledge, collaborative skills, and absorptive capacity, encouraging greater levels of external R&D, others suggest the opposite due to potential exchange hazards and partnership conflicts. Adopting an external partner's perspective, the current study reconsiders this “paradox of openness” by analyzing how a focal firm's product experience and patenting experience affect an external partner's tendency to provide external R&D services to the focal firm. Specifically, this study explore how a focal firm's knowledge protectiveness and tacitness embedded in its product and patenting experience influences the external partners' motivation for knowledge transfer. This study predicts that a firm's product experience increases the focal firm's external R&D sourcing because it provides high levels of knowledge tacitness and external openness and can encourage external partners to share and exchange knowledge with the focal firm. In contrast, a firm's patenting experience decreases the focal firm's external R&D sourcing because it denotes knowledge explicitness and protectiveness and may discourage external partners to share and exchange knowledge with the focal firm. This study further predicts that patenting experience has a negative moderating effect on the relationship between product experience and external R&D sourcing. Using a data set of 575 high‐tech firms in China, this study finds support for our predictions. Our findings contribute to the growing literature on the knowledge‐based view and technology entrepreneurship in emerging markets.     

Does advertising mislead consumers to buy low-quality products?

This paper investigates the interaction between consumer learning and advertising using a simulation model. Consumers use advertising to estimate the quality change, but learn advertising's trustworthiness through their consumption experience. Firms spend on not only advertising but also R&D to improve its product quality, following satisficing principles. We found that, if consumer learning is slow, an advertising-intensive firm captures most of the market in the long run despite its low product quality; in this sense, advertising misleads consumers. When learning is fast or when consumers do not rely on advertising at all, advertising is unlikely to mislead them. Easy imitation of rival products also prevents advertising from being misleading. These results are consistent with existing empirical findings on advertising-quality relationships.     

Relative absorptive capacity and interorganizational learning

Much of the prior research on interorganizational learning has focused on the role of absorptive capacity, a firm's ability to value, assimilate, and utilize new external knowledge. However, this definition of the construct suggests that a firm has an equal capacity to learn from all other organizations. We reconceptualize the firm-level construct absorptive capacity as a learning dyad-level construct, relative absorptive capacity. One firm's ability to learn from another firm is argued to depend on the similarity of both firms' (1) knowledge bases, (2) organizational structures and compensation policies, and (3) dominant logics. We then test the model using a sample of pharmaceutical–biotechnology R&D alliances. As predicted, the similarity of the partners' basic knowledge, lower management formalization, research centralization, compensation practices, and research communities were positively related to interorganizational learning. The relative absorptive capacity measures are also shown to have greater explanatory power than the established measure of absorptive capacity, R&D spending. © 1998 John Wiley & Sons, Ltd.     

Network effects and competition: an empirical analysis of the home video game industry

Building on the resource‐based view of the firm, we advance the idea that a firm's customer network can be a strategic asset. We suggest that network effects are a function of network size (i.e., installed customer base) and network strength (i.e., the marginal impact of a unit increase in network size on demand). We empirically study these network effects in the 16‐bit home video game industry in which the dominant competitors were Nintendo and Sega. In the spirit of the new empirical IO framework, we estimate a structural econometric model assuming the data are equilibrium outcomes of the best fitting noncooperative game in price and advertising. After controlling for other effects, we find strong evidence that network effects are asymmetric between the competitors in the home video game industry. Specifically, we find that the firm with a smaller customer network (Nintendo) has higher network strength than the firm with the larger customer base (Sega). Thus, our results provide a possible explanation for this situation in which the firm with a smaller customer network (Nintendo) was able to overtake the sales of a firm with a larger network size (Sega). Copyright © 2002 John Wiley & Sons, Ltd.     

Partners' centrality diversity and firm innovation performance: Evidence from China

While most studies of firm innovation with a social network perspective have focused on the focal firm's network structure, we explore the value of second-order social capital by examining partners' network structure to better understand firm innovation. Specifically, we examine how centrality diversity of the focal firm's network partners affects its innovation performance. A longitudinal study of Chinese publicly listed manufacturing firms from 2000 to 2016 indicates that partners' centrality diversity in a firm's board interlock network is positively related to that firm's innovation performance. We also find that the focal firm's knowledge breadth weakens the effect of partners' centrality diversity on innovation performance for the focal firm, while the proportion of non-independent ties between the focal firm and its network partners strengthens the effect.     

Whether and when do alliance terminations pay off?

Engaging in multiple strategic alliances, a firm forms an alliance portfolio. While a larger alliance portfolio signals investors a firm's ability to exploit new opportunities and improve financial performance, having multiple alliances may also undermine financial performance due to a firm's limited ability to effectively manage these alliances. Announcing an alliance termination, a firm signals an intention to increase the effectiveness of a larger alliance portfolio. This article examines the extent to which alliance termination announcements create value for firms with multiple alliances. Building on the resource-based view of the firm and organizational learning literature, the paper hypothesizes a U-shaped relationship between alliance portfolio size and a firm's cumulative abnormal stock return following an alliance termination announcement. This effect is moderated by the amount of a firm's alternative resources and partner-specific experience that affect its ability to effectively manage multiple alliances. The results show that alliance termination announcements create firm value when an alliance portfolio is large.     

Linking big data analytical intelligence to customer relationship management performance

This study investigates the driving forces of a firm's assimilation of big data analytical intelligence (BDAI) and how the assimilation of BDAI improve customer relationship management (CRM) performance. Drawing on the resource-based view, this study argues that a firm's data-driven culture and the competitive pressure it faces in the industry motivate a firm's assimilation of BDAI. As a firm resource, BDAI enables an organization to develop superior mass-customization capability, which in turn positively influences its CRM performance. In addition, this study proposes that a firm's marketing capability can moderate the impact of BDAI assimilation on its mass-customization capability. Using survey data collected from 147 business-to-business companies, this study finds support for most of the hypotheses. The findings of this study uncover compelling insights about the dynamics involved in the process of using BDAI to improve CRM performance.     

Pawn to Save a Chariot,or Drawbridge Into the Fort? Firms' Disclosure During Standard Setting and Complementary Technologies Within Ecosystems

Research summary: W ithin an ecosystem, standard setting coordinates development of complementary technologies across firms. But each firm can itself own multiple of these complementary technologies. We study how a firm's own complementary technologies influence its disclosure inclination during standard setting. We identify a tradeoff: disclosure increases value‐creation of the firm's non‐disclosed complementary technologies, but also heightens expropriation risk. Using data on the U.S. communications equipment industry 1991–2008, we show that the firm's complementary technologies increase its disclosure inclination when its technological areas are less crowded, but decrease such inclination when there are SSO members with strong expropriation abilities. Findings stress that disclosure involves but a piece of the firm's portfolio; a systemic perspective of the entire portfolio provides a more comprehensive picture of value‐creation during standard setting . Managerial summary: W hy should a firm disclose its key technology to participate in standard setting within an ecosystem? We urge managers to think beyond “disclosing to ensure compatibility with other firms' complementary technologies within the ecosystem” as a motivation, to also consider how disclosure affects the firm's own complementary technologies within its portfolio. Disclosure in one technological area makes the firm's nondisclosed complementary technologies in other areas more valuable to itself, especially with fewer rivals competing in these other areas. But disclosure also renders the firm susceptible to losing these complementary technologies to rivals, especially when rivals have strong expropriation abilities. Analyzing disclosure decisions by communication equipment firms, we show that this tradeoff is indeed a relevant consideration in managers' strategic calculations when participating in standard setting . Copyright © 2017 John Wiley & Sons, Ltd.     

Experimenting to Learn about Demand in Duopoly with Forward‐Looking Consumers

Using a two‐period model, I show that competition between two symmetric duopolists trying to learn about unknown features of demand results in an informationally suboptimal process. Because a firm’s marginal return to price experimentation equals zero if the rival’s price is matched in the first period, myopic symmetric pricing arises in equilibrium even though a firm’s expected second‐period profit attains a local minimum. Furthermore, forward‐looking consumers suffer from ratcheting because their first‐period purchase decisions partly reveal their preferences, which exacerbates the informational suboptimality of the firms’ experimentation process without affecting their pricing. The role of firm asymmetries is also analyzed.