Policy-driven ecosystems for new vaccine development

This paper examines the relationship between biomedical policies and entrepreneurial R&D strategies. Public health programs have been unable to provide effective and affordable treatment of infectious diseases for the poor. While governments have become more open to private sector contributions to policy objectives, it is rare to find new ventures commercializing healthcare innovations for neglected diseases. Two case studies of entrepreneurial ventures, in the UK and China, provide evidence on how resource-constrained firms mobilize participants in policy-specific ecosystems to achieve their goals of new vaccine development for tuberculosis. Ecosystem analysis reveals how the innovators’ business models can align their strategies with national policy objectives.     

Life course pathways to business start-up

We explore how socially embedded life courses of individuals within Britain affect the resources they have available and their capacity to apply those resources to start-up. We propose that there will be common pathways to entrepreneurship from privileged resource ownership and test our propositions by modelling a specific life course framework, based on class and gender. We operationalize our model employing 18 waves of the British Household Panel Survey and event history random effect logistic regression modelling. Our hypotheses receive broad support. Business start-up in Britain is primarily made from privileged class backgrounds that enable resource acquisition and are a means of reproducing or defending prosperity. The poor avoid entrepreneurship except when low household income threatens further downward mobility and entrepreneurship is a more attractive option. We find that gendered childcare responsibilities disrupt class-based pathways to entrepreneurship. We interpret the implications of this study for understanding entrepreneurship and society and suggest research directions.     

The co-evolution of business incubation and national innovation systems in Taiwan

Incubation has already proven to be of great value in promoting small and medium enterprise (SME) entrepreneurship activities and technological development in developed and developing countries. Incubation not only provides a diversified and integrated service for entrepreneurial ventures but also contributes upward to regional and national innovation and economic growth. Building upon the logic of co-evolution theory, this paper argues that incubation acts at the meso-level as a critical interface between macro-innovation systems and micro-business ventures. These multi-directional coupling elements in innovation ecology co-evolve to achieve collective interests and excellence, which in turn may stimulate technological development and social change. Important processes/mechanisms, including a policy kit and action, strategic networking, supportive associations, knowledge and intellectual capital management, among others, are discussed. Drawing on the national innovation system (NIS) and business incubation (BI) experience in Taiwan, we discuss the future prospects of incubation and innovation policies, including industrializing and globalizing incubation activities and virtual business incubation.     

Measurement Errors and Information Content of Segment Reporting

This paper assesses the measurement errors inherent in segment reporting. Measurement errors are gauged by comparing the correlation of segment results with their industry to the corresponding correlation for single line-of-business firms operating in the same industry. The findings show that the measurement errors in segment information, particularly earnings, are larger than those in the financial information reported by single line-of-business firms. The cross-sectional variation in the measurement errors can be traced to cost/revenue allocations, management intervention in segment reporting, and the operational structure of multi-segment firms. Market tests indicate that the information content of segment information is inversely related to the estimated measurement errors. This revised version was published online in November 2006 with corrections to the Cover Date.     

Sustainable Entrepreneurship: A Convergent Process Model

Sustainable entrepreneurship pursues a triple bottom line approach of economic, social and ecological goals. The main aim of this paper is to add to our understanding of the process of sustainable entrepreneurship. Since the field of sustainable entrepreneurship is in a nascent stage, we conduct a qualitative study. We employ a multiple case study design to build theory. Based on four case studies we develop a model, which describes the process of sustainable entrepreneurship, including six phases: 1) recognizing a social or ecological problem; 2) recognizing a social or ecological opportunity; 3) developing a double bottom line solution; 4) developing a triple bottom line solution; 5) funding and forming of a sustainable enterprise; 6) creating or entering a sustainable market. By developing a convergent process model with two pathways, we make theoretical contributions to the emerging fields of sustainable entrepreneurship and social entrepreneurship. A key finding is that the triple bottom line of ecological, social and economic goals is integrated sequentially, not simultaneously. Copyright © 2015 John Wiley & Sons, Ltd and ERP Environment.     

Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations

In most surveys, one is confronted with missing or, more generally, coarse data. Traditional methods dealing with these data require strong, untestable and often doubtful assumptions, for example, coarsening at random. But due to the resulting, potentially severe bias, there is a growing interest in approaches that only include tenable knowledge about the coarsening process, leading to imprecise but reliable results. In this spirit, we study regression analysis with a coarse categorical‐dependent variable and precisely observed categorical covariates. Our (profile) likelihood‐based approach can incorporate weak knowledge about the coarsening process and thus offers a synthesis of traditional methods and cautious strategies refraining from any coarsening assumptions. This also allows a discussion of the uncertainty about the coarsening process, besides sampling uncertainty and model uncertainty. Our procedure is illustrated with data of the panel study ‘Labour market and social security' conducted by the Institute for Employment Research, whose questionnaire design produces coarse data.     

All of work? All of life? Reconceptualising work‐life balance for the 21st century

This paper argues that the study of work‐life balance to date has, in the main, adopted a restricted conception of both “work” and “life”, which does not take account of recent developments in life worlds, working arrangements and employment relationships. “Life” has hitherto been viewed as largely comprising caring activities for dependent children, whereas “work” has been premised largely on a traditional model of work, characterised by full‐time, permanent employment with one employer and a conventional understanding of what work involves. This means that extant research and theory only provides a partial view of the work‐life needs and experiences of the workforce. In the paper, we propose extending conceptions of both work and life to incorporate different life worlds and social groups and different working arrangements and employment relationships.     

Coping with coopetition—Facing dilemmas in cooperation for sustainable development: The case of the Dutch smart grid industry

This paper is amongst the first to examine coopetition strategy for sustainable development at the network level. Companies who want to successfully implement complex innovative technologies that support sustainable development need to collaborate with other actors of the innovation ecosystem, including their competitors, so that they can develop standards, interoperable products, pool knowledge, and resources and bundle forces to compete against other technologies. Collaboration with competitors brings benefits, but also many risks. We investigated how firms cope with these risks when establishing an innovation ecosystem to implement a new technology in society. We conducted research in the Dutch smart grids sector and explored how these firms minimize inherent risks of coopetition. We found that system‐building actors in the Dutch smart grid field not only minimize inherent risks, but from the start of their collaboration they implement so‐called enablers to prevent these risks upfront.