Job Insecurity and the Timing of Parenthood: A Comparison between Eastern and Western Germany

This article contributes to the ongoing debate on the economic determinants of fertility behavior by addressing the role of job insecurity in couples’ intentions concerning parenthood and its timing. It starts from the hypothesis that cultural values moderate individuals’ reactions to job insecurity and the way it is related to family formation. With a systematic thematic content analysis of a set of semi-structured interviews with childless men and women around the age of 30 in eastern and western Germany, we are able to show that there are substantial differences in the consequences of job insecurity on intentions to have a first child. In western Germany, a relatively secure job career is expected to precede family formation, and this sequence of transitions is rather rigid, whereas in eastern Germany job security and family formation are thought of and practiced as parallel investments. We suggest that the lack of convergence in family formation patterns between eastern and western Germany after the unification of the country in 1990 is partially related to different attitudes toward job insecurity in the two contexts.     

Intensity, timeliness, and success of incumbent response to technological discontinuities: a synthesis and empirical investigation

The extant literature highlights numerous different factors influencing the timeliness and intensity of incumbent response to discontinuous technological change. However, this literature has so far not been synthesized and is therefore limited in its analytical, predictive, and normative power. We develop a comprehensive model of incumbent response that organizes different explanatory factors into the three distinct dimensions of (1) identification and interpretation, (2) decision making, and (3) organizational implementation. We also conceptualize how response intensity and timeliness affect business performance in new technological domains. We test the model against data from 320 firms from the German dental lab industry, finding substantial support for the majority of our hypotheses. This study offers unique empirical insight in observing that cognitive constructs such as framing and management flexibility have the strongest impact on both intensity and timeliness of incumbent response to technological, and thus, strategic discontinuities. Together, our findings have important implications for both theory and practice.     

Reflections on grounding firm innovation and viability

Entrepreneurial activity unfolds in a dynamic environment that challenges business viability. We utilize grounded theory as a novel type of reflection to explain and interpret whether and how innovation can afford survival benefits to firms. The premise is the application of a methodological approach with reflexive properties to advance scientific rigor in “reflections.” The idea underlying our reflection was to use innovation as the point of departure, review the literature, conceptualize ideas, and finally link the concepts that emerged as components of a framework. Our view of the firm resembles a viable entity that changes, constantly striving to meet and balance internal potentials and external complexities, while innovation per se involves change that is made possible by entrepreneurship. We bring together our personal and professional backgrounds and implement the European scholarly tradition on innovation and Viable Systems approach to scrutinize innovation’s interactions and relations. We linked boundary conditions, opportunities, and complementary assets to innovation. Effectively, our analysis conceptualizes innovation as autopoiesis in entrepreneurship and demonstrates its central role as the vehicle to exploit changes that ensure firm viability.     

Choosing summary statistics by least angle regression for approximate Bayesian computation

Bayesian statistical inference relies on the posterior distribution. Depending on the model, the posterior can be more or less difficult to derive. In recent years, there has been a lot of interest in complex settings where the likelihood is analytically intractable. In such situations, approximate Bayesian computation (ABC) provides an attractive way of carrying out Bayesian inference. For obtaining reliable posterior estimates however, it is important to keep the approximation errors small in ABC. The choice of an appropriate set of summary statistics plays a crucial role in this effort. Here, we report the development of a new algorithm that is based on least angle regression for choosing summary statistics. In two population genetic examples, the performance of the new algorithm is better than a previously proposed approach that uses partial least squares.     

CCR or BCC: what if we are in the wrong model?

The CCR model by Charnes et al. (Eur J Oper Res 2:429–444, 1978) together with the BCC model by Banker et al. (Manag Sci 30:1078–1091, 1984) are the most popular approaches of measuring efficiency among a group of decision making units, DMUs, in data envelopment analysis, DEA. The right choice of a DEA model—CCR or BCC—often, if not always, is a difficult decision. To evaluate a DMU’s efficiency for both models might be helpful, but it does not always capture the essential issues at stake. In this paper we propose a comparative analysis of both concepts: How does activity scaling under constant BCC-efficiency influence CCR-efficiency. And inversely, how does BCC-efficiency behave when activity scaling under constant CCR-efficiency is applied. Such findings of mutual effects improve a DMU’s ability to reassess upsizing and downsizing of activities. Moreover, it allows for exact calculations of the resulting economic effects, and these effects give new insights beyond classical DEA. Finally, scale efficiency turns out to be the ideal concept to control these activity changes, rather than just CCR- or BCC-efficiency. We use a little numerical example to emphasize advantages of the new concept and sketch the new findings for a theater scenery.     

Measuring servitization progress and outcome: the case of ‘advanced services’

The purpose of this paper is to establish a framework for assessing the progress and outcome of a manufacturer’s transformation towards becoming a provider of ‘advanced services’ – a complex bundling of products and services, whereby manufacturers offer capabilities and outcomes instead of products alone. ‘Advanced services’ represent the most complex offering in the current servitization trend amongst manufacturers. However, current performance measures lack the breadth and focus to assess progress or outcomes, and so support research and practice of organisational transformation efforts required. To address this gap the paper investigates how a manufacturer’s efforts to become an ‘advanced services’ provider can be comprehensively measured, and develops a framework for assessing the transformation journey towards becoming an ‘advanced services’ provider. The research method is based on (1) a systematic literature review process to create a comprehensive set of service-related performance measures that are available to assess a manufacturer’s servitization efforts, followed by (2) an engagement with an expert panel to synthesise the identified measures and create a set of ‘advanced services’ performance measures. The proposed framework is presented as a scorecard that can be used in practice to assess the progress and outcome of a manufacturer’s transformation towards becoming a provider of ‘advanced services’.