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Should a monopolistic vendor adopt the selling model or the leasing model for information goods or services? We study this question in the context of consumer valuation depreciation. Using a two-period game-theoretic model, we consider two types of consumer valuation depreciation for information goods or services: vintage depreciation and individual depreciation. Vintage depreciation assumes that a good or service loses some of its appeal to consumers as it becomes dated, and this effect persists independent of usage. Individual depreciation instead assumes that valuation depreciation happens only for consumers who have consumed or experienced the good or service. We identify conditions under which each pricing model is preferred. For vintage depreciation information goods, the leasing model dominates the selling model in vendor profit. For individual depreciation information goods, the selling model dominates the leasing model as long as the magnitude of individual depreciation exceeds a certain threshold; otherwise, leasing dominates selling. We consider several model extensions such as when network effects are present. Furthermore, we show a negative interaction effect between vintage depreciation and network effects in vendor profit. By contrast, the interaction effect between individual depreciation and network effects can be either negative or positive, depending on the magnitude of individual depreciation. Managerial implications are also discussed.

Context: The United States has invested billions of dollars to encourage the adoption of and implement the information technologies necessary for health information exchange (HIE), enabling providers to efficiently and effectively share patient information with other providers. Health care providers now have multiple options for obtaining and sharing patient information. Community HIEs facilitate information sharing for a broad group of providers within a region. Enterprise HIEs are operated by health systems and share information among affiliated hospitals and providers. We sought to identify why hospitals and health systems choose either to participate in community HIEs or to establish enterprise HIEs. Methods: We conducted semistructured interviews with 40 policymakers, community and enterprise HIE leaders, and health care executives from 19 different organizations. Our qualitative analysis used a general inductive and comparative approach to identify factors influencing participation in, and the success of, each approach to HIE. Findings: Enterprise HIEs support health systems' strategic goals through the control of an information technology network consisting of desired trading partners. Community HIEs support obtaining patient information from the broadest set of providers, but with more dispersed benefits to all participants, the community, and patients. Although not an either/or decision, community and enterprise HIEs compete for finite organizational resources like time, skilled staff, and money. Both approaches face challenges due to vendor costs and lessthan-interoperable technology. Conclusions: Both community and enterprise HIEs support aggregating clinical data and following patients across settings. Although they can be complementary, community and enterprise HIEs nonetheless compete for providers' attention and organizational resources. Health policymakers might try to encourage the type of widespread information exchange pursued by community HIEs, but the business case for enterprise HIEs clearly is stronger. The sustainability of a community HIE, potentially a public good, may necessitate ongoing public funding and supportive regulation.

New Internet-based “sharing-economy” markets enable consumer-owners to rent out their durable goods to nonowners. We model such markets and explore their equilibria both in the short run, in which ownership decisions are fixed, and in the long run, in which ownership decisions can be changed. We find that sharing-economy markets always expand consumption and increase surplus, but may increase or decrease ownership. Regardless, ownership is decoupled from individual preferences in the long run, as the rental rates and the purchase prices of goods become equal. If there are costs of bringing unused capacity to the market, they are partially passed through, creating a bias toward ownership. To test our theoretical work empirically, we conduct a survey of consumers, finding broad support for our modeling assumptions. The survey also allows us to offer a partial decomposition of the bring-to-market costs, based on attributes that make a good more or less amenable to being shared. This paper was accepted by Joshua Gans, business strategy.

This natural field experiment tests the effects of purely symbolic awards on volunteer retention in a public goods context. The experiment is conducted at Wikipedia, which faces declining editor retention rates, particularly among newcomers. Randomization assures that award receipt is orthogonal to previous performance. The analysis reveals that awards have a sizeable effect on newcomer retention, which persists over the four quarters following the initial intervention. This is noteworthy for indicating that awards for volunteers can be effective even if they have no impact on the volunteers’ future career opportunities. The awards are purely symbolic, and the status increment they produce is limited to the recipients’ pseudonymous online identities in a community they have just recently joined. The results can be explained by enhanced self-identification with the community, but they are also in line with recent findings on the role of status and reputation, recognition, and evaluation potential in online communities. Data, as supplemental material, are available at http://dx.doi.org/10.1287/mnsc.2016.2540 . This paper was accepted by John List, behavioral economics .

Popularity information is usually thought to reinforce existing sales trends by encouraging customers to flock to mainstream products with broad appeal. We suggest a countervailing market force: popularity information may benefit niche products with narrow appeal disproportionately, because the same level of popularity implies higher quality for narrow-appeal products than for broad-appeal products. We examine this hypothesis empirically using field experiment data from a website that lists wedding service vendors. Our findings are consistent with this hypothesis: narrow-appeal vendors receive more visits than equally popular broad-appeal vendors after the introduction of popularity information. This paper was accepted by Pradeep Chintagunta, marketing.

We examine the equity market reaction to events associated with the passage of a directive in the European Union (EU) mandating increased nonfinancial disclosure. These disclosures relate to firms’ environmental, social, and governance (ESG) performance, and would be applicable to firms listed on EU exchanges or with significant operations in the EU. We predict and find (i) an average negative market reaction of –0.79% across all firms, (ii) a less negative market reaction for firms having higher predirective nonfinancial performance, and (iii) a less negative reaction for firms having higher predirective nonfinancial disclosure levels. In addition, results are accentuated for firms having the most material ESG issues, as well as investors anticipating proprietary and political costs as a result of the mandated disclosures. Finally, we find that the negative market reaction is concentrated in firms with weak preregulation ESG performance and disclosure, which exhibit an average return of –1.54%; in contrast, firms with strong preregulation disclosure and performance exhibit an average positive return of 0.52%. Overall, the results are consistent with the equity market perceiving net costs (benefits) for firms with weak (strong) nonfinancial performance and disclosure around key events surrounding the mandatory disclosure regulation of nonfinancial information. This paper was accepted by Shiva Rajgopal, accounting.

A growing number of digital platforms operate in a dual mode: running marketplaces for third-party products, while selling their own products on those marketplaces. We build a model to explore the implications of this controversial practice. We analyze the tradeoffs that arise from a regulatory ban on the dual mode, showing how such a ban can harm consumer surplus and welfare even when the platform would otherwise engage in product imitation and self-preferencing. In the empirically most relevant scenarios, policies that prevent platform imitation and self preferencing generate better outcomes than an outright ban on the dual mode.

The principles of open collaboration for innovation (and production), once distinctive to open source software, are now found in many other ventures. Some of these ventures are Internet based: for example, Wikipedia and online communities. Others are off-line: they are found in medicine, science, and everyday life. Such ventures have been affecting traditional firms and may represent a new organizational form. Despite the impact of such ventures, their operating principles and performance are not well understood. Here we define open collaboration (OC), the underlying set of principles, and propose that it is a robust engine for innovation and production. First, we review multiple OC ventures and identify four defining principles. In all instances, participants create goods and services of economic value, they exchange and reuse each other’s work, they labor purposefully with just loose coordination, and they permit anyone to contribute and consume. These principles distinguish OC from other organizational forms, such as firms or cooperatives. Next, we turn to performance. To understand the performance of OC, we develop a computational model, combining innovation theory with recent evidence on human cooperation. We identify and investigate three elements that affect performance: the cooperativeness of participants, the diversity of their needs, and the degree to which the goods are rival (subtractable). Through computational experiments, we find that OC performs well even in seemingly harsh environments: when cooperators are a minority, free riders are present, diversity is lacking, or goods are rival. We conclude that OC is viable and likely to expand into new domains. The findings also inform the discussion on new organizational forms, collaborative and communal.

Blockchain is a shared distributed digital ledger technology that can better facilitate data management, provenance and security, and has the potential to transform healthcare. Importantly, blockchain represents a data architecture, whose application goes far beyond Bitcoin – the cryptocurrency that relies on blockchain and has popularized the technology. In the health sector, blockchain is being aggressively explored by various stakeholders to optimize business processes, lower costs, improve patient outcomes, enhance compliance, and enable better use of healthcare-related data. However, critical in assessing whether blockchain can fulfill the hype of a technology characterized as ‘revolutionary’ and ‘disruptive’, is the need to ensure that blockchain design elements consider actual healthcare needs from the diverse perspectives of consumers, patients, providers, and regulators. In addition, answering the real needs of healthcare stakeholders, blockchain approaches must also be responsive to the unique challenges faced in healthcare compared to other sectors of the economy. In this sense, ensuring that a health blockchain is ‘fit-for-purpose’ is pivotal. This concept forms the basis for this article, where we share views from a multidisciplinary group of practitioners at the forefront of blockchain conceptualization, development, and deployment.

Electronic commerce has grown rapidly in recent years. However, surveys of online customers continue to indicate that many remain unsatisfied with their online purchase experiences. Clearly, more research is needed to better understand what affects customers' evaluations of their online experiences. Through a large dataset gathered from two online websites, this study investigates the importance of product uncertainty and retailer visibility in customers' online purchase decisions, as well as the mitigating effects of retailer characteristics. We find that high product uncertainty and low retailer visibility have a negative impact on customer satisfaction. However, a retailer's service quality, website design, and pricing play important roles in mitigating the negative impact of high product uncertainty and low retailer visibility. Specifically, service quality can mitigate the negative impacts of low retailer visibility and high product uncertainty in online markets. Website design, on the other hand, helps to reduce the impact of product uncertainty when experience goods are involved.