Investigating Adoption of Free Beta Applications in a Platform‐Based Business Ecosystem

Planning new product development (NPD) activities is becoming increasingly difficult, as contemporary businesses compete at the level of business ecosystems in addition to the firm‐level product‐market competition. These business ecosystems are built around platforms interlinking suppliers, complementors, distributors, developers, etc. together. The competitiveness of these ecosystems relies on members utilizing the shared platform for their own performance improvement, especially in terms of developing new valuable offerings for end users. Therefore, managing the development of the platform‐based applications and gaining timely end‐user input for NPD are of vital importance both to the ecosystem as a whole and to the developers. Subsequently, to succeed in NPD planning developers utilizing beta testing need a thorough understanding of the adoption dynamics of beta products. Developers need to plan for example resource allocation; development costs; and timing of commercial, end‐product launches. Therefore, the anticipation of the adoption dynamics of beta products emerges as an important antecedent in planning NPD activities when beta testing is used for gaining end‐user input to the NPD process. Consequently, we investigate how free beta software products that are built upon software platforms diffuse among their end users in a cocreation community. We specifically study whether the adoption of these beta products follows Bass or Gompertz model dynamics used in the previous literature when modeling the adoption of stand‐alone products. Further, we also investigate the forecasting abilities of these two models. Our results show that the adoption dynamics of free beta products in a cocreation community follow Gompertz's model rather than the Bass model. Additionally, we find that the Gompertz model performs better than the Bass model in forecasting both short and long out‐of‐sample time periods. We further discuss the managerial and research implications of our study.     

On the Effects of Uncertainty on Investment Timing and Option Value

This article demonstrates that when the relationship between systematic risk and project value is taken into account, the sensitivity of investments with respect to volatility changes dramatically. By taking cash flows as a fundamental variable, the article shows that the value of an option to invest can be decreasing in volatility, contradicting the conventional wisdom. Second, the recent proposition, according to which the expected time to invest is U-shaped, does not generally hold; the expected time and the cash flow trigger are likely to be always increasing in volatility.     

When a Loser Gains: Free Riding in the Innovation of Network Goods

We consider duopolists innovating and producing a good subject to network externalities. If successful in R&D, a firm sells both the old product and the new one. The new product increases the utility of its user; it also generates a higher network externality than does the old product. A firm which fails to innovate nevertheless profits from the success of the rival: the network effect raises the value of the old product it still produces. A firm free-rides on the innovative efforts of another firm, reducing the incentives of any firm to innovate.     

Drivers and barriers of peer-to-peer accommodation stay – an exploratory study with American and Finnish travellers

The explosive growth of peer-to-peer (P2P) accommodation service presents a potential transformation in the competitive landscape of accommodation sector. This research explores the market characteristics and the factors that drive and hinder the use of P2P accommodation to better explain the phenomenon of collaborative consumption in the tourism and hospitality marketplace. Using responses from travellers residing in the United States and Finland, exploratory factor analyses revealed two factors that drive the use of P2P accommodation: social appeal (desire for community and sustainability) and economic appeal (cost savings). The barriers include issues of trust, efficacy and familiarity with the system, and cost. The empirical evidence from this study suggests several managerial implications for tourism and hospitality businesses and directions for future research.     

Union power,entrepreneurial risk,and entrepreneurship

The paper proposes that a trade-off can be identified between the union power and the entry rate of new enterprises. It suggests that union power increases the entrepreneurial failure risk, thereby discouraging entrepreneurship and reducing the employment opportunities. In addition, we show that high price uncertainty and a union-controlled labour market is a harmful combination for entrepreneurship.     

Cyber Technology and the Arms Race

Cyber technology represents digital military capability with the purpose of causing damage to the military strength of a potential enemy. War using conventional weapons may be preceded by a strike using cyber technology. This paper introduces such technology into the theory of conflicts. The cost of war relative to the payoff from victory turns out to be crucial for the results on armament decisions. In the war game, two types of Nash equilibria may arise. One is subject to warfare while the other is not (‘equilibrium of terror’), depending on the perceived cost of war. In a symmetric war game, cyber capabilities are neutral with respect to the investments in conventional weapons, but they make wars more likely. Asymmetric access to cyber technology limits the international arms race with conventional weapons. A low success probability in the cyber programme encourages exercising the cyberattack option as the enemy may not have access to cyber capability. Uncertainty of the success of a cyber programme makes countries cautious when allocating resources not only to these programmes but also in conventional armament.     

What happens to international new ventures beyond start-up: An exploratory study

Since its inception, research in international entrepreneurship has focused mainly on how and why international new ventures internationalize early on. To date, there has been hardly any research regarding the issue of continuing corporate growth in such ventures beyond their start-up phase or initial internationalization. Theoretically, we ground our study within the dynamic capabilities view of the firm and through an inductive theory building research explore how and whether international new ventures made-it beyond the start-up phase, aiming to generate early theoretical constructs to guide international entrepreneurship research in this substantive area. Grounded in data, we develop the following constructs related to made-it points: strategic experimentation, tensions in organizational gestalt, and legitimacy lies. To get to a made-it point, entrepreneurs experiment with their venture at several levels: organizational, business model, and operational. These experimentation efforts are fueled by tensions that exist in the organizational gestalt, such as ownership structure, business proposition to the market, and product development process. To legitimate themselves and their venture in the stakeholders’ eyes, entrepreneurs may tell legitimacy lies. We maintain that international new ventures do not reach a made-it point if they only manage to develop substantive capabilities to produce desired outputs at various levels within the venture but fail to create dynamic capabilities to change and reconfigure existing substantive capabilities.     

The optimal portfolio of start-up firms in venture capital finance

Venture capitalists (VCs) not only finance but also add value to start-up companies. Advising firms is time consuming and creates a trade-off between intensity of advice and portfolio size. We jointly determine the optimal number of portfolio companies and the intensity of managerial advice. Diminishing returns to advice per firm call for a larger portfolio. With progressively increasing managerial effort cost, however, a larger number crowds out advice to each individual firm. As they receive less support, entrepreneurs request a larger profit share, making further portfolio expansion eventually unprofitable. Comparative static analysis shows how optimal portfolio size responds to venture returns and other parameters.