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In the policy debate, intellectual property is often justified by what seems to be a straightforward argument: if innovators are not protected against others appropriating their ideas, incentives for innovation are suboptimally low. Now, in most industries and for most potential users, appropriating a foreign innovation is itself an investment decision fraught with cost and risk. Nonetheless, standard theory predicts too little innovation. Arguably the problem is exacerbated by the sensitivity of innovators to fairness; imitators do get a free lunch, after all. We model the situation as a game and test it in the lab. We find more appropriation, but also more innovation than predicted by standard theory. In the lab, the prospect of giving imitators a free lunch does not have a chilling effect on innovation. This even holds if innovation automatically spills over to an outsider and if successful imitation reduces the innovator's profit. Beliefs and the analysis of experiences in the repeated game demonstrate that participants are sensitive to the fairness problem. But this concern is not strong enough to outweigh the robust propensity to invest even more in innovation than predicted by standard theory. The data suggest that this behavior results from the intention not to be outperformed by one's peers.

In recent years there has been an increasing diffusion of open source projects, as well as an increasing interest among scholars on the topic. Open source software (OSS) is developed by communities of programmers and users, usually sponsored by private firms; OSS is available in the public domain and redistributed for free. In this paper a model of open and closed source software (CSS) competition will be presented. Hardware and software are complement goods and OSS is financed by hardware firms. There is a differentiated oligopoly of hardware–software bundles, in which firms compete in prices. Results are several; positive (hardware firm) contributions are possible, although, they are not socially optimal. OSS availability has a positive impact on social welfare, and on hardware firms’ profits and prices. CSS firm’s price and profits decrease when OSS is available. The effect on the price of the hardware–CSS bundle depends on demand own–price elasticity. The model can explain the increasing participation in open source projects of embedded device producers. Hardware firms’ incentives to contribute to OSS development process are greater when there is a relatively intensive competition among producers. Hardware firms use OSS to decrease the software monopolist’s market power.

Due to globalization new media strongly impacts organizations and management approaches. Access to social media platforms, open source movement, online collaboration, rapid communication and increasing power of consumers push hierarchical organization towards flexibility and adaptability. New media offers a wide range of channels for information on competitors, for brand promotion and to new markets. But competitors have also access to the same instruments. Globalization in terms of communication on collaborative platforms, determines organizations to adopt cross-cultural and cross-organizational approaches to ensure sending the right message to the right market at the right time. Maintaining organization globally competitive implies top human resources with a trans-disciplinary background and knowledge of using the new media infrastructure sustained by a right organizational structure. This paper aims at demonstrating, with some examples too, how new media is leading decision making process to a new level for protecting organization’s image setting new norms and principles for organization and people in order to achieve best results.

During the last two decades, projects have become increasingly important and recognizable tools for achieving competitiveness, strategic aims and much needed positive changes. The consequence of this, among other things, is the growing number of projects which emerge and are carried out in all business systems around the world. With the growing number of projects, there arose the need for trained project managers. In order to successfully do their tasks, it is very important for project managers to know and understand various techniques and methods of project management. The rate at which the number of formally trained project managers is growing and the dynamics of their adaptation to the specifi cities of today’s business environment is still insuffi cient. Development of user-friendly IT support tools which would enable project managers to successfully implement projects without previous very long and intense project training imposes itself as a possible and increasingly available solution to the above mention problem. The development of IT technology and software increased enormously in the last decade. The emergence of Web 2.0 technology finds new solutions, very useful and applicable also in the field of project management. These options are currently still underutilized by companies when dealing with projects. Capabilities of existing and emerging solutions of Web 2.0 development and the open source community create important value and the potential to increase the efficiency of project management.The emergence of the Semantic Web (Web 3.0) currently being developed and implemented, with its innovations and technologies based on semantic and artificial intelligence, is expected to greatly change the present concepts of doing business. In the paper we will analyze the importance and possibilities arising from new web technologies (especially Web 2.0 and Web 3.0) when dealing with project management issues.

The organization of information production is undergoing a deep transformation. Alongside media corporations, which have been for long time the predominant institutions of information production, new organizational forms have emerged, e.g. free software communities, open-content on-line wikis, collective blogs, distributed platforms for resource sharing. The paper investigates the factors that favoured the emergence of these alternative systems, called peer production. Differently from most of the previous literature, the paper does so by considering technology (i.e. digital code) as an endogenous variable in the process of organizational design. On this basis the paper argues that the diffusion of digital technology is a necessary but not sufficient condition to explain the emergence of peer production. A similarly important role has been played by the specific set of ethics that motivated the early adherents to the free software movement. Such an ethics indeed operated as a sort of “cultural subsidy” that helped to overcome the complementarities existing among distinct institutional domains, and let a new organizational species to emerge.

Firms need flexible software applications, which may be adaptable to dynamic changes of the modern business environment; they also need more control over their software costs, security and trust in purchased and implemented software. Moreover, they need to be free of individual software vendors and license costs for the software, etc. The solution of this problem consisted in open source applications and open source technology has proven that it can often provide high-quality software being a challenge for old models of software development and maintenance. The first content management system was announced in the late 90s. The offer of such software systems is varied and each of them has its own characteristics. This requires a comparative analysis of viable open-source systems in order to choose the most appropriate imposed goals. In this context, the paper illustrates the use of an open source content management system, like WordPress, to develop a content site in design of websites and analyzeits characteristics.

The adoption of mobile phones in most countries has been exceptionally rapid over the last three decades. In response to this new wave in technology, Cuban government under Raul Castro has made it clear that he will be reducing the size of Cuban state expenditure in favor of private participation in the economy, the genuine liberalization of Cuba’s telecom sector is expected to be hampered quickly over the coming years. This exploratory study therefore attempts to examine consumer behavior in new mobile phone markets. The study surveyed 315 Cuban consumers to identify their motives for purchasing new mobile phones on one hand, and factors affecting operator choice on the other. The results indicate that price and properties were the most influential factors affecting the purchase of a new mobile phone whereas price, availability and friends’ operator were regarded as the most important in the choice of the mobile phone operator.

We present a model for the equilibrium movement of capital between asset markets that are distinguished only by the levels of capital invested in each. Investment in that market with the greatest amount of capital earns the lowest risk premium. Intermediaries optimally trade off the costs of intermediation against fees that depend on the gain they can offer to investors for moving their capital to the market with the higher mean return. The bargaining power of an investor depends on potential access to alternative intermediaries. In equilibrium, the speeds of adjustment of mean returns and of capital between the two markets are increasing in the degree to which capital is imbalanced between the two markets, and can be reduced by competition among intermediaries.

The paper describes a conceptual approach for a next-generation innovation paradigm in the Digital Economy called “Embedded Innovation” (Innovation 3.0). The notion of “embeddedness” is introduced to mark the increasing challenge of integrating firms into their surrounding communities to assure the absorption of exploitable knowledge. In the paper the evolutionary steps from Closed via Open to Embedded Innovation in small and medium sized companies (SME) are described. On the basis of the firm’s different relationships and knowledge flows with respect to its surrounding communities different modes of how and what to learn from communities are defined and how this may unfold leverage effects for the innovation process. Finally, we present empirical innovation case studies on how to embed the firm into communities with the aim of ensuring knowledge absorption and collaborative learning. JEL Codes: L17, O31, O32, O33

Value co-creation is an emerging marketing and innovation paradigm describing a broader opening of the firm to its customers by providing them with the opportunity to become active participants in the design and development of personalized products, services and experiences. It has a great potential in affecting the way firms operate and innovate and has, therefore, attracted the attention of both scholars and practitioners. However, there is not yet a fully satisfactory theoretical vision about its distinctive characteristics as compared to more traditional value creation approaches. The present paper provides empirical research results in answering two research questions. The first question is: What are the principal components of value co-creation? The second question is: What is the relationship between the degree of firms’ involvement in value co-creation activities and the perception of their innovativeness. The paper starts with a review of the literature and a conceptual refinement of the value co-creation paradigm to continue with the identification of the key components of value co-creation based on a research methodology using web search and Principal Component Analysis techniques applied to data collected from a sample of 273 firms selected for being representative of the breadth of their value co-creation activities. The second part of the paper discusses the results from a linear regression analysis examining the relationship between firms’ degree of involvement in value co-creation and the perception of their innovativeness. The analysis leads to research insights about the relevance of specific value co-creation components in terms of their innovation-related outcomes. To the best of our knowledge this is the first work discussing value co-creation implementation patterns based on the relationship between firms’ involvement in value co-creation and the perception of innovativeness. JEL Codes: L1, L2, L17, O31

The trivialization of smartphones has given rise to an architectural reconfiguration of the mobile operating system innovation process. We have also seen the recent emergence of three ?open source? consortia: the Symbian and LiMo Foundations, and the Open Handset Alliance. In this exploratory paper, we analyse the coherence of these consortia using an open source framework to perform the necessary reconfiguration at both the technological and organizational level. In order to evaluate the coherence of this strategy, we analyse the ability of these consortia to produce standards. Bearing in mind the exploratory nature of this research, this allows us to demonstrate that, although these consortia exhibit original forms of ?open innovation?, they find it difficult to produce consortia standards by means of vertical coordination. Equally, we consider various scenarios dealing with the construction of standards, examining in particular horizontal collaboration between these consortia. JEL Codes: L15, L17, L86, L96, O33, O34

We argue that the intrinsic inefficiency of proprietary software has historically created a space for alternative institutions that provide software as a public good. We discuss several sources of such inefficiency, focusing on one that has not been described in the literature: the underinvestment due to fear of holdup. An inefficient holdup occurs when a user of software must make complementary investments, when the return on such investments depends on future cooperation of the software vendor, and when contracting about a future relationship with the software vendor is not feasible. We also consider how the nature of the production function of software makes software cheaper to develop when the code is open to the end users. Our framework explains why open source dominates certain sectors of the software industry (e.g., the top ten programming languages all have an open source implementation), while being almost none existent in some other sectors (none of the top ten computer games are open source). We then use our discussion of efficiency to examine the history of institutions for provision of public software from the early collaborative projects of the 1950s to the modern "open source" software institutions. We look at how such institutions have created a sustainable coalition for provision of software as a public good by organizing diverse individual incentives, both altruistic and profit-seeking, providing open source products of tremendous commercial importance, which have come to dominate certain segments of the software industry.

The National Bureau of Economic Research (NBER) Business Cycle Dating Committee and the Center for Economic and Policy Research (CEPR) Business Cycle Dating Committee date business cycle turning points using a small number of aggregate measures of real economic activity. For example, in its memorandum explaining the December 2007 peak (NBER Business Cycle Dating Committee 2008), the NBER committee mentioned that it considers five series, quarterly real GDP and the “big four” monthly series, real personal income less transfers, real manufacturing and wholesaleretail trade sales, industrial production, and nonfarm employment. (These series do not in general receive equal weight.) In contrast, when the NBER research program on dating business cycles commenced, researchers examined turning points in hundreds of series and dated business cycles by detecting clusters of specific-cycle turning points; see Arthur Burns and Wesley Mitchell (1946, 13 and 77–80). The dating of turning points evidently has shifted from aggregating the turning points of many disaggregated series to using the turning points of a few highly aggregated series. This shift raises a methodological question: should reference cycle turning points be determined by aggregating then dating, or by dating then aggregating? This paper provides some preliminary evidence on the question of whether it is better to date then aggregate or aggregate then date using 270 monthly disaggregated real economic indicators. The questions considered in this paper parallel those in the large literature on forecasting Indicators for Dating Business Cycles: Cross-History Selection and Comparisons

Every now and then a set of technologies becomes available that sets off a period of “combinatorial innovation.” Think of standardized mechanical parts in the 1800s, the gasoline engine in the early 1900s, electronics in the 1920s, integrated circuits in the 1970s, and the internet in the last decade or so. The component parts of these technologies can be combined and recombined by innovators to create new devices and applications. Since these innovators are working in parallel with similar components, it is common to see simultaneous invention. There are many well-known examples, such as the electric light, the airplane, the automobile, and the telephone. Many scholars have described such periods of innovation, using terms such as “recombinant growth,” “general purpose technologies,” “cumulative synthesis” and “clusters of innovation.” The internet and the web are wonderful examples of combinatorial innovation. In the last 15 years we have seen a huge proliferation of web applications, all built from a basic set of component technologies. The internet itself was a rather unlikely innovation; I like to describe it as a “lab experiment that got loose.” Since the internet arose from the research community rather than the private sector, it had no obvious business model. Other public computer networks, such as AOL, CompuServe, and Minitel, generally used a subscription models, but were centrally controlled and offered little scope for innovation at the user level. The internet won out over these alternatives, precisely because it offered a flexible set of component technologies which encouraged combinatorial innovation.

The aim of this article is to report on an experiment in publishing an open access journal and learn from it about the larger field of open access publishing. The experiment is the launch of the European Journal of Comparative Economics (EJCE); an on-line refereed and open access journal; founded in 2004 by the European Association for Comparative Economic Studies and LIUC University in Italy. They embarked upon this project in part to respond to the rising concentration in the market for scientific publishing and the resulting use of market power to raise subscription prices and restrict access to scientific output. We had hoped that open access journals could provide some countervailing power and increase competition in the field. Our experience running a poorly endowed journal has shown that entry to the field may be easy; yet that making it a sustainable enterprise is not straightforward.

This special issue of Economic Analysis and Policy is devoted to try and understand the academic publishing industry and in particular the recent move towards open access, as EAP has done in 2008. The various articles examine the motivations, the challenges and the roadblocks for authors, editors, publishers, libraries and readers. It also highlights some of the benefits of open access beyond the obvious increase in readership. Several examples from journal editors, content management providers and bibliographic data distributors are also provided.

PySAL is an open source library for spatial analysis written in the object-oriented language Python. It is built upon shared functionality in two exploratory spatial data analysis packages––GeoDA and STARS––and is intended to leverage the shared development of these components. This paper presents an overview of the motivation behind and the design of PySAL, as well as suggestions for how the library can be used with other software projects. Empirical illustrations of several key components in a variety of spatial analytical problems are given, and plans for future development of PySAL are discussed.

Bitcoin has become the de facto 'gold' standard among cryptocurrencies as it is the most widely accepted in commerce, has the largest mining network, and greatest volume of transactions. Because of this, miners of other SHA-256 cryptocurrencies will tend to convert those altcoins into bitcoin in order to transact in a meaningful way with the real economy. The result is that bitcoin mining regulates that of all other SHA-256 blockchains. Specifically, what matters is the expected number of bitcoins produced per day given a unit of hashing (mining) power, whatever the equivalence in the coin being mined. If mining for a different coin would yield a greater return in bitcoins at the margin (per day) for a miner, an apparent arbitrage opportunity will exist to direct mining effort at that cryptocurrency and subsequently exchange those for bitcoin. These opportunities, once taken, quickly eliminate the profitable arbitrage and appear to operate in a fairly efficient and predictable manner. A model is developed in this paper to formalize this process where cryptocurrency miners seeking to maximize production in terms of bitcoins earned in a day will exploit any such opportunities. If no such opportunities exist, they will simply revert to mining bitcoins directly. There are some important implications to this process, such as a tendency for cryptocurrencies to fall in price relative to bitcoin over time, and for changes in bitcoin mining difficulty to indirectly influence the market prices of altcoins. Finally, it seems that those undertaking this process of miners' arbitrage do so at the expense of speculators and noise traders who make decisions regarding buy and sell trades without the use of fundamental data. These participants generally have poor timing, follow trends, and over-react to good and bad news. Altcoins are produced by miners and subsequently offered for sale in the market in order to obtain bitcoins; meanwhile noise traders serve as the only bid-side to the market, on average.

Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of study results and the reuse of old data for new research questions. Based on a systematic review of 98 scholarly papers and an empirical survey among 603 secondary data users, we develop a conceptual framework that explains the process of data sharing from the primary researcher’s point of view. We show that this process can be divided into six descriptive categories: Data donor, research organization, research community, norms, data infrastructure, and data recipients. Drawing from our findings, we discuss theoretical implications regarding knowledge creation and dissemination as well as research policy measures to foster academic collaboration. We conclude that research data cannot be regarded a knowledge commons, but research policies that better incentivize data sharing are needed to improve the quality of research results and foster scientific progress. ratswd, ratswd working paper, Data Sharing, Academia, Systematic Review, Research Policy, Knowledge Commons, Crowd Science, Commons-based Peer Production

This article analyses the phenomenon of using the Open Source software. Its aim is to verify the existence of a positive direct network effect that characterizes using of the Open Source software. The multivariate probit model is used to extract factors motivating users to the usage of the Open Source software. Special attention is paid to demographic characteristics of users, as well as to the impact of users' acquaintances, such as family, work and school on using the Open Source software. The results of the conducted analysis confirm our research.

Entrepreneurial ventures operating in high-tech industries are more and more adopting innovative business models, which are based on use of the market for ideas instead of the market for products or on the leveraging of communities of users and developers. A common characteristic of these innovative business models is their dependence on innovative technological knowledge and, consequently, on the ways in which intellectual property rights over this knowledge are designed (i.e., tight vs. loose appropriability regime). This chapter grounds on mainstream organizational design theories to speculate on how high-tech entrepreneurial ventures should organize internally to successfully implement these innovative business models. Specifically, it analyzes how firms’ structure, decision rights, and human resource management practices should be adapted to the need of generating, absorbing, and protecting innovative technological knowledge. Heeding a recent call in management literature, we will conduct our analysis considering organizational design variables both at the individual and firm level.

Traditionally, the scholarly journal market operates so that research institutions are charged high prices and the wider public is often excluded altogether, while authors can usually publish for free and commercial publishers enjoy high profits. Two forms of open access regulation can mitigate these problems: (i) authors are required to publish in a journal which allows readers free and immediate access to their article, or (ii) authors are required to make freely available an inferior substitute to the published paper (and to publish in a journal which permits this). The former policy is likely to result in authors paying to publish, which may lead to a reduction in the quantity of published papers and may make authors less willing to publish in selective journals. The latter policy makes freely available only an inferior version of the published article, but may be consistent with authors publishing for free.

Do entrepreneurial ventures that adopt an open business model obtain VC finance from higher quality VC investors in comparison with entrepreneurial ventures that adopt a closed business model? Are VC investments in open business model ventures are more likely to be syndicated and more frequently staged? In this paper we consider these questions on a sample of 6,555 VC investments in 514 software entrepreneurial ventures that received the first round of VC finance in the period 1994-2008. Of these ventures, 124 adopted an open business model based on open source software (OSS) and the remaining ventures adopted a closed business model based on the development and sale of proprietary software. Our findings indicate that OSS entrepreneurial ventures received funding from higher quality VC investors, with VC quality being measured by general experience, industry-specialization, IPO success, raised capital and connectedness in syndication network. Also, VC investments in OSS entrepreneurial ventures were more frequently staged. Conversely, we do not find any difference between OSS and proprietary software entrepreneurial ventures as number of VC participated in syndication.

The rising star of scholarly publishing is Open Access. Even some traditional journals now offer this option on author payment, and many full freely accessible journals are now available to scholars, providing relief to research institutions increasingly unable to afford the escalating subscription rates of serials. However, proper recognition of full Open Access journals by the community remains a major obstacle to overcome if they are to become a viable alternative for scholarly communication. Through a survey, this work investigates economics scholars’ attitudes to OA, and attempts to outline the state of practices and norms governing individuals’ publication choices.

We study the hybrid open access (HOA) citation effect. Under HOA Pilot agreements, HOA is assigned for all articles of eligible authors. We use unique data on 208 (1,121) HOA (closed access) economics articles. We control for the quality of journals, articles and institutions and citations to RePec pre-prints. Performing Poisson quasi-maximum likelihood regressions, HOA turns out to be a significant predictor of citations with marginal effects ranging between 22% and 26%. However, once we additionally control for institution quality and citations to RePEc pre-prints, the marginal HOA citation advantage turns out to insignificant and drops to 0.4%.

[ES] La participación activa del usuario en la Red no solo ha empezado a fomentar nuevos modelos productivos, sino también todo un modelo de negocios alrededor de los mismos. Muchas empresas están comenzando a explotar ventajas competitivas, en costes o en diferenciación, derivadas de la participación del usuario y su disponibilidad a colaborar en diversos proyectos en los que no siempre media, necesariamente, contraprestación económica; y cuando existe, suele ser inferior a la que exigiría un profesional medio por realizar el mismo trabajo. En este trabajo se analiza el fenómeno del crowdsourcing desde ambas vertientes, así como el importante impacto económico y social que genera esta nueva forma de trabajo. Dado que la base del crowdsourcing se encuentra en el efecto red, se comienza realizando un planteamiento crítico basado en la consideración de Internet como un espacio participativo que empodera a individuos y agentes económicos y en el que se analizan sus ventajas y límites. Posteriormente, y en base al estudio de diferentes casos, se sistematizan las características principales del crowdsourcing para definir tres modelos básicos en función de su consideración como modelo de negocio, como producción colaborativa con fines altruistas o como un híbrido de ambos. [EN] Active participation of users on the Internet has not only begun to stimulate new production models, but also business models around it. Many companies are beginning to exploit competitive advantages in costs or differentiation, derived from people participation and their willingness to collaborate on various projects, which did not always have an economic return; and when this return exists is often less than required by a professional for the same work. This paper analyzes the phenomenon of crowdsourcing from both sides and the economic and social impact that it has produced during recent years. We begin with a critical approach to Internet consideration as a participative space that empowers individuals and economic agents, given that crowdsourcing foundations are on the network effect, and with a discussion about its advantages and limitations. Later, main features are structured, based on the study of different cases, in order to set three basic patterns depending on crowdsourcing shall be considered either as a business model, as an altruistic collaborative production mean or as an hybrid of the above two.

I quantify spillovers of attention in a network of content pages, which is challenging, because such networks form endogenously. I exploit exogenous variation in the article network of German Wikipedia to circumvent this problem. Wikipedia prominently advertises one featured article on its main site every day, which increases viewership of the advertised article. Shifts in the viewership of adjacent articles are due to their link from the treated article. Through this approach I isolate how the link network causally influences users’ search and contribution behavior. I use a difference-in-differences analysis to estimate how attention spills to neighbors through the transient shock of advertisement. I further develop an extended peer effects model which relaxes the requirement of an exogenously given network. This model enables the estimation of the underlying spillover. Advertisements affect neighboring articles substantially: Their viewership increases by almost 70 percent. This, in turn, translates to increased editing activity. Attention is the driving mechanism behind views and short edits. Both outcomes are related to the order of links, while more substantial edits are not.

For many applications, open source software (OSS) can offer a high-quality alternative to proprietary software (e.g. Linux, Apache, Android,...). But even if OSS is usually free of charge, its installation and use require some skills. Should the government intervene to promote the diffusion of OSS and provide some learning or financial support to potential adopters? This paper examines whether public subsidies towards open source software is socially desirable and how the extent of compatibility between open source software and proprietary software can influence the amount of subsidies. We consider a mixed duopoly model in which a proprietary software (PS) company competes with an open source software (OSS) community. Users are heterogeneous in their ability to use OSS, and their utility depends on the number of users who have adopted the same software or a compatible software (existence of network externalities). Four situations are distinguished: full compatibility between OSS and PS, full incompatibility, and one-way compatibility (either only OSS or PS is compatible). We show that if the government only takes care of consumer surplus, public subsidies are welfare-enhancing. But the optimal level of subsidies is larger with full compatibility and PS compatibility than full incompatibility and OSS compatibility. These results suggest that government policy towards OSS must be conditional to the degree of compatibility between PS and OSS.

We analyze how network effects affect competition in the nascent cryptocurrency market. We do so by examining the changes over time in exchange rate data among cryptocurrencies. Specifically, we look at two aspects: (1) competition among different currencies, and (2) competition among exchanges where those currencies are traded. Our data suggest that the winner-take-all effect is dominant early in the market. During this period, when Bitcoin becomes more valuable against the U.S. dollar, it also becomes more valuable against other cryptocurrencies. This trend is reversed in the later period. The data in the later period are consistent with the use of cryptocurrencies as financial assets (popularized by Bitcoin), and not consistent with ``winner-take-all'' dynamics.

This is a discussion of the manuscript "Local News Online: Aggregators, Geo-Targeting and the Market for Local News" by L. George and C. Hogendorn, presented at the 11th Workshop on Media Economics, which was held at the Recanati Business School, Tel-Aviv University, October 9-10, 2013.

The aim of this paper is to shed light on scholarly communication and its current trajectories by examining academics’ perception of Open Access, while also providing a reference case for studying social norm change. In this respect, the issue of publication choice and the role of Open Access journals casts light on the changes affecting the scientific community and its institutional arrangements for validating and circulating new research. The empirical investigation conducted also offers a useful vantage point for gauging the importance of localised social norms in guiding and constraining behaviour.

The aim of this paper is to shed light on scholarly communication and its current trajectories by examining academics’ perception of Open Access, while also providing a reference case for studying social norm change. In this respect, the issue of publication choice and the role of Open Access journals casts light on the changes affecting the scientific community and its institutional arrangements for validating and circulating new research. The empirical investigation conducted also offers a useful vantage point for gauging the importance of localised social norms in guiding and constraining behaviour.

Endogeneity in network formation hinders the identification of the role that social networks play in generating spillovers, peer effects and other externalities. This paper tackles this problem and investigates how the link network between articles on the German Wikipedia influences the attention and content generation individual articles receive. Identification exploits local exogenous shocks on a small number of nodes in the network. It can thus avoid the usually required, but strong, assumptions of exogenous observed characteristics and link structure in networks. Exogenous variation is generated by natural and technical disasters or by articles being featured on the German Wikipedia’s start page. The effects on neighboring pages are substantial; I observe an increase of almost 100 percent in terms of both views and content generation. The aggregate effect over all neighbors is also large: I find that a view on a treated article converts one for one into a view on a neighboring article. However, the resulting content generation is small in absolute terms. My approach also applies if, due to a lack of network data, identification through partial overlaps in the network structure fails (e.g. in classrooms). It helps bridge the gap between the experimental and social network literatures on peer effects.

We examine whether collective intelligence helps achieve a neutral point of view using data from a decade of Wikipedia's articles on US politics. Our null hypothesis builds on Linus' Law, often expressed as "Given enough eyeballs, all bugs are shallow." Our findings are consistent with a narrow interpretation of Linus' Law, namely, a greater number of contributors to an article makes an article more neutral. No evidence supports a broad interpretation of Linus' Law. Moreover, several empirical facts suggest the law does not shape many articles. The majority of articles receive little attention, and most articles change only mildly from their initial slant.

The open source model is a form of software development in which the source code is made available, free of charge, to all interested parties; further users have the right to modify and extend the program. Open source software (OSS) methods rely on developers who reveal the source code under an open source license. Under certain types of open source licenses, any further development using the source code must also be publicly disclosed. In this brief survey, we will focus on several key aspects of open source software.

For a decade, economists have been fascinated by the phenomenon of open source software (OSS). OSS is marked by free access to the software and its source code. It is developed in a public, collaborative manner by thousands of non-paid volunteers as well as profit seeking firms. Today, OSS is well established in the ICT sector and represents a new intellectual property paradigm. This paper provides an introduction into the topic OSS versus closed source software (CSS, also called 'proprietary' software). After a brief history of OSS and CSS, the differences between the open and the closed source principles and the basic logic of OSS business models are explained. Next, the paper presents what economists know about the OSS phenomena, i.e. gives an overview of the motives of the (non-paid) OSS developers, the institutions of OSS, the effects of OSS on competition, the incentives and role of firms, and finally of open source principle beyond software.

The word Crowdsourcing ?a compound contraction of Crowd and Outsourcing, was used by Howe in order to define outsourcing to the crowd. Beyond cost, benefits for the company can be substantial. It can externalize the risk of failure and it only pays for products or services that meet its expectations. The Crowdsourcing phenomenon covers heterogeneous situations and it has inspired a number of authors. However, we are still lacking a general and synthetic view of this concept. The aim of our work is to characterize Crowdsourcing in its various aspects. First we define of Crowdsourcing, and provide examples that illustrate the diversity of Crowdsourcing practices and we present similarities and differences between Crowdsourcing and established theories (Open Innovation, User Innovation and Open Source Software). Then, we propose and illustrate a typology of Crowdsourcing practices based on two criteria: the integrative or selective nature of the process and the type of tasks that are crowd sourced (simple, complex and creative tasks). In either case, the client firm seeks to mobilize external competencies. Relying upon the crowd can be an adequate method, because of its unique characteristics that are fostered by the Internet. Finally, we present some potential benefits and pitfalls of Crowdsourcing. JEL Codes: O32, L17, L24, L29, M19

The number of small and medium enterprises (SMEs), especially those involved with research and development (R&D) programs and employed virtual teams to create the greatest competitive advantage from limited labor are increasing. Global and localized virtual R&D teams are believed to have high potential for the growth of SMEs. Due to the fast-growing complexity of new products coupled with new emerging opportunities of virtual teams, a collaborative approach is believed to be the future trend. This research explores the effectiveness of virtuality in SMEs' virtual R&D teams. Online questionnaires were emailed to Malaysian manufacturing SMEs and 74 usable questionnaires were received, representing a 20.8 percent return rate. In order to avoid biases which may result from pre-suggested answers, a series of open-ended questions were retrieved from the experts. This study was focused on analyzing an open-ended question, whereby four main themes were extracted from the experts' recommendations regarding the effectiveness of virtual teams for the growth and performance of SMEs. The findings of this study would be useful to product design managers of SMEs in order to realize the key advantages and significance of virtual R&D teams during the new product development (NPD) process. This in turn, leads to increased effectiveness in new product development's procedure. This record was migrated from the OpenDepot repository service in June, 2017 before shutting down.

This article analyzes the effects on ex ante incentives to invest in the development of complementary innovations of two alternative appropriability strategies: a strategy of exclusion of third parties from access (through active enforcement of IPRs or technical means) vis-a-vis an openness strategy, i.e. an ex-ante commitment not to exclude. Assuming that the complementary innovations constitute a common input and that agents make complementary investments in its private exploitation, we find that, when complementarities are sufficiently strong, a commitment to openness may provide greater incentives than an exclusion strategy. The theoretical framework is used to provide an interpretation of Open Source Software licenses and the “Open Science” system.

We examine the geography of early stage entrepreneurial finance in the context of an internet marketplace for funding new musical artist-entrepreneurs. A large body of research documents that investors in early-stage projects are disproportionately co-located with the entrepreneur. Theory predicts this will be particularly true of artist-entrepreneurs with preliminary-stage projects, difficult-to-contract-for effort, difficult-to-observe creativity, negligible tangible assets, and limited reputations. At the same time, however, observers of the spatial effects of the internet and related technologies report that many economic activities have become much less geographically dependent. At an aggregate level, the internet marketplace we examine does indeed demonstrate a spatial transformation of the entrepreneurial finance process: the average distance between investors and artist-entrepreneurs is 4,831 km. However, geography still matters; investors are disproportionately likely to be local and, conditional on investing, local investors invest more. This apparent role for proximity is strongest before entrepreneurs visibly accumulate capital. Within a single round of financing, local investors are more likely to engage earlier in the funding cycle. However, this difference in the timing of investment is almost entirely explained by a particular type of investor, whom we characterize as ``family, friends, and fans." We conjecture that these individuals, who are disproportionately co-located with the entrepreneur, have offline information about the entrepreneur and therefore derive less new information from observing the aggregate financing raised. We speculate that the path-dependent role of this offline network in conveying information to the online community limits the ``flat world'' potential of these communication technologies.

In this paper, we present our more than two years research experiences on virtual R&D teams in small and medium-sized enterprises (SMEs) and draws conclusions, giving special attention to the structure of virtual teams required to support education-industry collaboration. We report the relevant results of an online survey study. The online questionnaire was emailed by using a simple random sampling method to 947 manufacturing SMEs. The findings of this study show that SMEs in Malaysia and Iran are willing to use virtual teams for collaboration and the platform for industry-education collaboration is ready and distance between team members or differences in time zones, are not barriers to industry-education collaborations.

The paper analyzes the impact of institutional and cultural factors on a remarkable economic activity: the production of so-called open source software (OSS). OSS is marked by free access to the software and its source code. Copyright-based OSS licenses permit users to use, change, improve and redistribute the software, which is designed and developed in a public, collaborative manner. OSS seems to be an example of a 'private provision of a public good'. While the supply-side microeconomics of OSS (individual characteristics of OSS developers, role of firms etc.) are well explored, it is not known which institutional and cultural factors explain different OSS activities across countries. For this reason, we perform a cross-country study analyzing how the number of OSS developers per inhabitants and the level of OSS activity of a country depend on institutional and cultural factors. Our findings are that a culture characterized by individualism/self-determination, abundance of social capital interpreted as interpersonal trust, an optimistic view of scientific progress, a low degree of regulation as well as good protection of intellectual property rights is favoring OSS activities. Our study thus contributes to the understanding of the role of cultural and nstitutional factors in general as well as in particular with respect to OSS. Additionally, it improves the understanding of the supply-side of OSS.

Author(s): Scotchmer, Suzanne | Abstract: The open source movement evolved in the one industrial context where openness is not required by intellectual property law.1 Nevertheless, openness itself cannot be the driving force behind the open source movement. This is because openness can be achieved in many ways other than the GPL, for example, with proprietary licenses, or licenses that are even more permissive than the GPL, such as the BSD license.Early commentators explained this new development model by focussing on the motives of the programmer, such as to demonstrate skills. See the survey by Stephen M. Maurer and Suzanne Scotchmer (2006). But firms also participate in open-source collaborations, sometimes contributing significant resources (Joachim Henkel, 2006, Dirk Riehle, 2009). Doing so can be profitable even if the contributors are rivals in the market. The quality improvements or cost reductions provided by a rival’s open-source contributions may outweigh the deleterious effect of empowering the rival to be a better competitor.

Perhaps the most striking feature of "crowdfunding" is the broad geographic dispersion of investors in small, early-stage projects. This contrasts with existing theories that predict entrepreneurs and investors will be co-located due to distance-sensitive costs. We examine a crowdfunding setting that connects artist-entrepreneurs with investors over the internet for financing musical projects. The average distance between artists and investors is about 3,000 miles, suggesting a reduced role for spatial proximity. Still, distance does play a role. Within a single round of financing, local investors invest relatively early, and they appear less responsive to decisions by other investors. We show this geography effect is driven by investors who likely have a personal connection with the artist-entrepreneur ("family and friends"). Although the online platform seems to eliminate most distance-related economic frictions such as monitoring progress, providing input, and gathering information, it does not eliminate social-related frictions.

We analyze the characteristics of new businesses in the German ICT industry, distinguishing them based on their choice between two IPR regimes: open source software (OSS) or closed source software (CSS). The share of new firms with an OSS-based business model has increased considerably over the last several years. OSS-based firms tend to be smaller (in terms of staff and capital) and experience less shortages of capital. Only older cohorts of OSS-intensive start-ups had more difficulty than their CSS counterparts in convincing potential financiers of their viability, indicating that OSS business models are now well established. We find no evidence that the lower entry barriers for OSS firms are particularly attractive to start-ups with low human capital endowment or to necessity-motivated entrepreneurs.

In the ICT sector, product-software is an important factor for the quality of the products (e.g. cell phones). In this context, open source software enables firms to avoid quality competition as they can cooperate on quality without an explicit contract. The economics of open source (OS) versus closed source (CS) business models are analyzed in a general two- stage model that combines aspects of non-cooperative R&D with the theory of differentiated oligopolies: In stage one, firms develop software, either as OS or CS, or as a an OS-CS-mix if the license allows. In stage two, firms bundle this with complementary products and compete à la Cournot. The model allows for horizontal product differentiation in stage two. The finding are: 1.) While CS-decisions are always strategic substitutes, OS-decisions can be strategic complements. Furthermore, CS is a strategic substitute to OS and vice versa. 2.) The type of OS-license plays a crucial role: only if the license prohibits a direct OS-CS code mix (like the GPL), then Nash-equilibria with firms producing OS code exist for all parameters. 3.) In the equilibrium of a mixed industry with restricted licenses, OS-firms offer lower quality than their CS-rivals.

Practitioners generally assert that collaboration with the Open Source software (OSS) community enables young software firms to achieve superior innovation performance. Nonetheless, to the best of our knowledge, scholars have never extensively speculated about this assertion or rigorously tested it. In this paper, we attempt to do so. First, we root on the entrepreneurship literature and on the OSS research stream to discuss and empirically investigate whether entrepreneurial ventures collaborating with the OSS community (OSS EVs) achieve innovation performance superior to that of their non-collaborating peers. Then, we refer to the concept of absorptive capacity to determine which factors make OSS EVs better able to leverage their collaboration with the OSS community for innovation purposes. Our econometric estimates use a sample of 230 firms and indicate that OSS EVs collaborating with the OSS community achieve superior innovation. At the same time, the impact of community collaborations on innovation is stronger for EVs that are endowed with more skilled human capital, have experience with firm- OSS community collaboration, and actively contribute to the community.

Small and medium-sized enterprises (SMEs) are indeed the engines of global economic growth. Their continued growth is a major subject for the economy and employment of any country. Towards that end, virtual research and development (R&D) could be a viable option to sustain and ease the operations of SMEs. However, literature shows there has not been a great deal of research into the diverse characteristic of virtual R&D teams in SMEs. This article provides a comprehensive literature review on different aspects of virtual R&D teams collected from the reputed publications. The purpose of the literature review is to provide an outline on the structure and dynamics of R&D collaboration in SMEs. Specifying the rationale and relevance of virtual teams, the relationship between virtual R&D team for SMEs and new product development (NPD) has been examined. It concludes with identifying the gaps and feebleness in the existing literature and calls for future research in this area. It is argued to form of virtual R&D team deserves consideration at top level management for venturing into the new product development within SMEs. This record was migrated from the OpenDepot repository service in June, 2017 before shutting down.

Small and medium enterprises (SMEs) are considered as an engine for economic growth all over the world and especially for developing countries. During the past decade, new product development (NPD) has increasingly been recognized as a critical factor in ensuring the continued survival of SMEs. On the other hand, the rapid rate of market and technological changes has accelerated in the past decade, so this turbulent environment requires new methods and techniques to bring successful new products to the marketplace. Virtual team can be a solution to answer the requested demand. However, literature have shown no significant differences between traditional NPD and virtual NPD in general, whereas NPD in SME's virtual team has not been systematically investigated in developing countries. This paper aims to bridge this gap by first reviewing the NPD and its relationship with virtuality and then identifies the critical factors of NPD in virtual teams. The statistical method was utilized to perform the required analysis of data from the survey. The results were achieved through factor analysis at the perspective of NPD in some Malaysian and Iranian manufacturing firms (N = 191). The 20 new product development factors were grouped into five higher level constructs. It gives valuable insight and guidelines, which hopefully will help managers of firms in developing countries to consider the main factors in NPD. This record was migrated from the OpenDepot repository service in June, 2017 before shutting down.