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.     

Analysis of the Colorado potato beetle protection system in Finland

Invasive species, including plants, insects and other pests, are a serious threat to agricultural production and to the environment in general. Finland has traditionally had a favourable situation concerning invasives, partly due to its isolated geographical location. The situation may now be changing and one of the currently increasing threats is the Colorado potato beetle (CPB). Finland has designed a CPB protection policy incorporating a protected zone, which is commonly used to deal with invasive plant pests in other European countries. Within this zone, the randomly occurring CPB invasions are collectively fended off, to prevent the establishment of a permanent pest population and to minimise potential damage. This paper evaluates the economics of the current protection programme, comparing this to a hypothetical situation in which the current pre-emptive policy is abandoned and control relies on producers' individual reactive protection measures. The annual random pest invasions are modelled in a static stochastic framework. To date the pest has not been able to establish a permanent population in Finland. According to our analysis, the currently exercised pre-emptive policy is the cost-efficient choice at this point. The relatively low expected invasion magnitude is one of the key factors supporting the efficiency of the current system. Another reason is the fairly small damage incurred. However, when the invasions become larger and more frequent or the pest strains more cold-resistant, the future situation may change.     

Value creation potential of intellectual capital in biotechnology – empirical evidence from Finland

The objective of the study was to empirically verify impacts of intellectual capital (IC) to the anticipated future sales of small- and medium-sized companies within the biotechnology industry. The study creates and develops tools for the valuation of companies by relating the existing intangibles and the expected value creation of the companies in that industry displaying high growth prospects but long and insecure product development phases. Theoretically, IC is divided into the following three categories: human capital (HC), structural capital (SC), and relational capital (RC). In the empirical setting, survey data of small- and medium-sized Finnish biotechnology companies are used. In the econometric analyses, the interactions, or empirical co-variation, between the three categories of IC explain two-thirds of the variance in the anticipated future sales of the sample companies. Thus, it seems that a well-balanced combination of HC, SC, and RC implies value creation potential and high anticipated future sales.     

“One of these days,things are going to change!” How do you make sense of market disruption?

The significance of mindsets is apparent in everyday business life. As today’s managers and companies face uncertainty and disruptive change in the business environment and markets, there is a growing need to understand and strategically address such change. This becomes challenging when disruptive market forces confront the institutional logic or rules of the game based on collectively acquired experience of doing business in the given field. In overcoming such challenges, managers’ hidden reasoning remains an untapped potential while their existing mindset influences what they attend to and what they decide to do. This article elaborates a diagnostic framework, accompanied by a tool to help managers make sense of disruptive markets and reflect individually and collectively on possible courses of action. The framework has two principal dimensions—strategic scope and focus—that are further divided into three business elements of strategic market-oriented management: offering, customer, and market. The tool offers a practical means of profiling individuals’ mindsets. In increasingly dynamic business environments, reflection capabilities represent a new source of competitive advantage.     

Vacation travel planning segments: Self-planning vs. users of motor club and travel agents

The characteristics and travel behavior of 2,436 respondents are analyzed with respect to their use of planning assistance for vacation travel. Differences were detected between the three planning segments: self-planners, motor club users and travel agent users, e.g., travel agent users traveled more often by air and for multiple purposes. Substantial similarities were found between self-planners and motor club users. In general, the use of professional planning assistance increased as the distance to be traveled increased. The findings support the development of specific marketing programs developed for the motor clubs and travel agent users by destination managers.     

The development of post-project buyer–seller interaction in service-intensive projects

The purpose of this research is to enhance the understanding of post-project buyer–seller interaction, a topic previously studied mainly from the perspective of social exchange or sleeping relationships. With the advent of service-intensive projects, however, the dynamics of post-project interaction has changed, demanding a broader theorization. This research extends the scope of project marketing, by proposing a research framework illustrating interaction development in a longitudinal setting. We utilize the framework to analyze three projects, two of which continued for more than a decade, through a qualitative case study. The research provides empirical insight into the interaction orientations and development patterns arising in the post-project stage. It suggests that post-project interaction develops through three main orientations (cooperative development, buyer-led development, and seller-led maintenance) that vary over time, thus creating unique development patterns. The study concludes with five practical recommendations for managers to deal with evolving post-project interaction.     

Intrapersonal Emotional Responses to the Inquiry and Advocacy Modes of Interaction: A Psychophysiological Study

In negotiations and group decision making we can use two characteristically different interaction modes: inquiry and advocacy. Inquiry refers to an interested and explorative interaction mode, and advocacy to an assertive and narrow mode. Although these modes have been studied in organizational behavior literature, the intrapersonal emotional responses to the inquiry and advocacy modes remain yet unexplored. We explored intrapersonal emotions by facial electromyography and skin conductance responses and by emotional empathy self-reports. The subjects were prompted to adopt the two modes in hypothetical encounters with another person. We found that Duchenne smiles were specific to the inquiry mode, that emotional arousal showed specificity to the expressions, and that emotional empathy predicts expressiveness in the inquiry treatment. We discuss the implications of these results to the use of the interaction modes and the related possibilities of influencing group interaction by influencing one’s own internal emotional state in group decisions.     

The conference on security and cooperation in Europe: Its impact on tourism

The Conference on Security and Cooperation in Europe adopted principles which have both direct and indirect impact on travel and tourism. The data for the paper include documentary material, a survey sent to the national travel and tourism bureaus of the participating states, and personal interviews. It is evident that most of the problems encountered in implementing the final act are political, not technical. A separate section is devoted to the discussion of the impact on travel for professional reasons. The overall result of this study points to the fact that progress has been slow and tangible results have been limited.     

Probabilistic temperature change projections and energy system implications of greenhouse gas emission scenarios

This paper explores the implications for global average temperature change of a set of reference and mitigation scenarios in a probabilistic framework. First, we use published probability density functions for climate sensitivity to investigate the likelihood of achieving targets expressed as levels or rates of global average temperature change. We find, for example, that limiting warming to 3 C above pre-industrial levels with at least a medium likelihood requires cumulative emissions reductions on the order of 30-60% below one unmitigated reference scenario by 2100, while a more favorable baseline scenario requires no reductions at all to achieve this outcome with the same likelihood. We further conclude that the rate of temperature change may prove to be more difficult to control, especially if most of the mitigation effort is postponed until later in the century. Rate of change targets of 0.1–0.2 °C/decade are unlikely to be achieved by a target for the long-term level of climate change alone. Second, we quantify relationships between mitigation costs and the likelihood of achieving various targets and show how this depends strongly on the reference scenario. Third, we explore relationships between medium-term achievements and long-term climate change outcomes. Our results suggest that atmospheric concentrations and the share of zero-carbon energy in the middle of the 21st century are key indicators of the likelihood of meeting long-term climate change goals cost-effectively. They also suggest that interim targets could be an effective means of keeping long-term target options open. Our analysis shows that least-cost mitigation strategies for reaching low climate change targets include a wide portfolio of reduction measures. In particular, fundamental long-term structural changes in the energy system in these scenarios are a necessary but not sufficient condition to achieve high likelihoods for low temperature targets. The cost-effective portfolio of emissions reductions must also address demand-side measures and include mitigation options in the industry, agriculture, and the forest sector.