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.     

Stochastic non-smooth envelopment of data for multi-dimensional output

The proposed method of Stochastic Non-smooth Envelopment of Data (StoNED) for measuring efficiency has to date mainly found application in the analysis of production systems which have exactly one output. Therefore, the objective of this paper is to examine the applicability of StoNED when a ray production function models a production technology with multi-dimensional input and output. In addition to a general analysis of properties required by a ray production function for StoNED to be applicable, we conduct a Monte Carlo simulation in order to evaluate the quality of the frontier and efficiencies estimated by StoNED. The results are compared with those derived via Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA). We show that StoNED provides competitive estimates in regard to other methods and especially in regard to the real functional form and efficiency.     

What satisfies younger versus older employees,and why? An aging perspective on equity theory to explain interactive effects of employee age,monetary rewards,and task contributions on job satisfaction

In light of increasingly age-diverse workforces, organizations face the challenge of fostering job satisfaction among both younger and older employees. Combining equity theory with an aging perspective, we propose that due to age-related shifts in motives and goals, younger versus older employees’ job satisfaction will depend differently on monetary rewards (outcome side of equity theory), task contributions (input side of equity theory), as well as on imbalances (inequity) in the relationship between monetary rewards and task contributions. In a multisource study with 166 managers, we found that while younger employees were satisfied primarily by monetary rewards, older employees were satisfied primarily by their task contributions. Most importantly, a three-way interaction indicated that younger versus older employees react differently to two types of inequity: Being proportionally over-rewarded (i.e., receiving high monetary rewards for low task contributions) reduced older (but not of younger) employees’ job satisfaction. By contrast, under-reward inequity (i.e., receiving low monetary rewards for high task contributions) decreased younger (but not of older) employees’ job satisfaction. These age-dependent effects of job features on job satisfaction reveal important theoretical as well as practical implications.     

Digital Transformation Through Exploratory and Exploitative Internet of Things Innovations: The Impact of Family Management and Technological Diversification*

This study examines the impact of family management on digital transformation with specific regard to the firm’s development of Internet of Things (IoT) innovations. Drawing on the distinctive characteristics of firms with family managers, such as the focus on family‐centered noneconomic goals, long tenure, emotional ties to existing assets, and rigid mental models, it hypothesizes that increasing family involvement in the top management team is negatively related to the development of IoT innovations that are distant from a firm’s existing technology base (i.e., exploratory IoT innovations) compared to exploitative IoT innovations. Further, the study proposes that the firm’s degree of technological diversification, especially in unrelated forms, reinforces this relationship. The longitudinal analysis between 2002 and 2013 on a sample of publicly traded German firms allows us to test our hypotheses from the beginning of the emergence of the IoT concept. Our findings show that due to the particular characteristics of their managers, family‐managed firms do not welcome the risks related to exploratory IoT innovations, and the benefit of risk diversification from technological diversification is lower than the cost of abandoning family‐centered goals. As our results imply that the involvement of family managers constrains the development of exploratory IoT innovation, the top management team composition in firms that intend to be at the forefront of the digital transformation should be accurately designed by avoiding a high proportion of family members.     

Socio-emotional wealth and corporate responses to environmental hostility: Are family firms more stakeholder oriented?

Do family firms care more for different stakeholders than nonfamily firms when operating in a hostile business environment? This study addresses this question and fills the existing void in family business research. It shows that family-controlled firms adopt corporate social responsibility strategies and balance the demands of internal and external interest groups to preserve their socio-emotional wealth while facing fierce competition, resource scarcity, and penurious economic conditions. More specifically, our analysis of an international sample of 956 listed firms from 2006 to 2014 reveals that family firms show a higher level of corporate social responsibility (CSR) performance and better stakeholder orientation than nonfamily firms. Our findings are useful for managers, policymakers, and responsible investors.     

Representatives of future generations as promoters of sustainability in corporate decision processes

Current protests of the young generation emphasize that interests of future generations should be taken more into account by policy makers and in corporate decision processes. As organizations contribute to enduring environmental and social problems, they are required to promote sustainability in order to preserve options for the well-being of future generations. However, organizational decision makers often take a short-term perspective and neglect investments in intergenerational justice. Previous theoretical work has acknowledged the importance of representing future generations in today's decision-making processes to adopt a long-term perspective in order to promote intergenerational justice. In a laboratory experiment, we show that appointing representatives of future generations at the organizational level can foster investments in intergenerational justice. Although this outcome is more pronounced when aligned with the representatives' individual incentives, it even persists for a representative who is monetarily penalized for advocating the interests of future generations.     

中巴能源关系:石油贸易的机遇与趋势

<正>一、简介20世纪70年代能源危机之后,人们开始更加关注所谓"能源安全"的概念以防能源供应的中断。从那以后,廉价石油的时代结束了,人们必须考虑到多种变化因素以确保长期的石油供应。从需求角度讲,能源需求(尤其是石油)将不断增长。从供应商角度讲,石油资源仅贮于很少一部分国家(尤其是中东国家)会引发使用"石油武器"的潜在威胁。而且,高额的石油价格也使得非传统石油能源在能源市场占有一席之地。     

Formal and Informal Practices of Knowledge Sharing Between Project Teams and Enacted Cultural Characteristics

This article investigates the process of knowledge sharing between project teams and uses a case study approach. This is especially relevant, as organizations face both the needs for separating work into projects and integrating knowledge created in projects into the organization. The results provided by the analysis technique of GABEK^® indicate that, although projects create boundaries, employees and project team leaders use formal mechanisms and develop informal practices for knowledge sharing between project teams. Furthermore, the article identifies organizational cultural characteristics enacted in these practices that can stimulate the discussion in “knowledge culture research” regarding the relationship of organizational cultural characteristics and (specific) knowledge processes.     

The Political Economy of Mobility Partnerships – Structural Power in the EU's External Migration Policy

The research on European Union (EU) external relations and the EU's own official discourse frequently portray the EU as a soft power that provides its neighbourhood with good governance principles. The European Mobility Partnerships (EU MPs) can be considered the most recent manifestation of this rhetoric. Studies on EU MPs reflect a narrow understanding of power. This paper aims to contribute to a more comprehensive understanding of the power dimension inherent in the EU's external relations. It develops a neogramscian theoretical framework to challenge the rhetoric of the EU as a soft power and normative hegemon. Drawing on semi-structured expert interviews and textual analysis of documents, it seeks to reveal whether and in what ways socio-economic power dynamics shape the EU MPs. This article argues that while, at the beginning, the design of the EU MPs as a policy tool has been very much influenced by neoliberal ideas such as the market-oriented liberalisation of mobility and the flexibilisation of labour, implementation is marked by the neo-mercantilist approach of restricting immigration and maximising the efficiency of readmission. Applying a critical political economy concept of power is helpful in understanding how market forces influence EU external migration policy, transcending a narrow understanding of power.     

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.