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Given prior limited research on boards in clean-tech enterprises, we investigate what constitutes an effective board exploring in-depth: who the board members are, what roles they perform and how these roles are performed.

Our study is an inductive, multiple case study of five clean-tech enterprises established in Norway.

We find that board composition in terms of complementary resources that the top management team lacks added by outside directors, their increased engagement in the board service role and board behavioural integration are important constituents of board effectiveness, which in turn translates into the increased levels of the firm’s strategic action capabilities, both action speed and breadth.

We suggest that these three constituents (prevalence of outside directors, board service role engagement and board behavioural integration) together make up the board contribution, which is most valued by clean-tech enterprises in the earliest stages of their development. Future research could be conducted in other types of high-tech start-ups and/or in other hybrid social enterprises to strengthen the generalizability of our findings.

While the mainstream governance research focuses on for-profit boards in large established companies, our study adds to the research on non-for-profit governance and boards in clean-tech enterprises that are both small entrepreneurial and hybrid social enterprises.

This study uses a budgeting experiment to examine the effects of peer influence and firm earnings position on managerial honesty. In the experiment, participants report production costs to request funds from the firm based on their actual private cost information. The firm’s earnings position is manipulated at two levels, a gain condition and an edge condition, and the authors find that participants overstate costs (i.e., are less honest) to a greater extent in the dishonest peer influence condition than in the honest peer influence condition. The authors also find that the effect of peer influence on managerial honesty is context dependent. Specifically, participants respond to both dishonest and honest peer influence in the gain condition but they do not respond to peer influence in the edge condition. This study provides evidence for honest peer influence on honesty and it highlights the role of earnings position on the effect of peer influence on honesty. Controlling the disclosure of certain peer information is not possible because individuals can learn about peer information (honest or dishonest) formally or informally. Such uncontrollable peer information may be harmful to firms. The results suggest firms that provide managers with the consequences of managerial budgeting on the firm operational outcomes can neutralize the effect of peer influence on managerial honesty when managers’ budgeting decisions significantly affect firm profits.

The purpose of this paper is to advance supply chain management by describing the current state of behavioral supply chain management (BSCM) research and paving the way for future contributions by developing a meta-theory for this important field.

The results are generated by applying the systematic literature review methodology and an iterative theory-building approach involving a panel of academics.

This review provides a comprehensive overview of the BSCM research landscape. Additionally, a meta-theory of BSCM is presented that encompasses all central elements of the research field and introduces the concept of emergence to the field of BSCM. Furthermore, five promising future research opportunities are formulated.

The critical discussions and the formulated research opportunities will help scholars in positioning their research to enhance its contribution.

Results from this research indicate that supply chain decisions benefit from explicit consideration for cognitive and social phenomena.

This review is the first to provide a comprehensive overview of the field of BSCM research and facilitates BSCM in advancing further.

This paper aims to analyze the question of how household indebtedness impacts households’ incentives to search for and accept work after displacement.

To analyze the relationship between household indebtedness and unemployment duration, this paper applies standard proportional hazard models. For data, this paper relies on the longitudinal US National Survey of Income and Program Participation (SIPP), covering the period between 2008 and 2012.

The findings show that a 10% increase in household debt increases the likelihood (hazard) of leaving unemployment by 0.2%–0.4% points. Independent of measuring a household's indebtedness and in light of a series of robustness tests, the results indicate that the pressure of servicing an existing debt burden forces individuals to return to work.

From a policy perspective, the research findings support the notion that household indebtedness plays an important mediating role for labor market outcomes through influencing households’ incentives to return to work after displacement. This finding has important implications for the design of effective policy responses to mass layoffs during the current pandemic.

A key innovation of the research is that we can show that household indebtedness impacts the labor supply side. From a macroeconomic perspective, this insight is important in better understanding the role of increased indebtedness (and financialization) in amplifying aggregate macroeconomic dynamics.

The purpose of this paper is to provide groundwork for an emerging theory of supply chain robustness – which has been conceptualized as a dimension of supply chain resilience – through reviewing and synthesizing related yet disconnected studies. The paper develops a formal definition of supply chain robustness to build a framework that captures the dimensions, antecedents and moderators of the construct as discussed in the literature.

The authors apply a systematic literature review approach. In order to reduce researcher bias, they involve a team of academics, librarians and managers.

The paper first, provides a formal definition of supply chain robustness; second, builds a theoretical framework of supply chain robustness that augments both causal and descriptive knowledge; third,shows how findings in this review support practice; and fourth,reveals methodological insights on the use of journal rankings in reviews.

At this stage, managers may benefit from seeing these relationships as clues derived from the literature. The paper is fundamentally a call for researchers to conduct quantitative testing of such relationships to derive more reliable understanding and practical applications.

Rather than presenting empirical findings, this paper reveals to managers that visibility, risk management orientation and reduced network complexity have been the main predictive antecedents of supply chain robustness (as discussed in the academic literature). This provides a potentially important signal as to where to invest resources.

The study is the first to develop a formal definition of supply chain robustness and to establish a comprehensive theoretical framework for understanding the construct.

The purpose of this paper is to develop the case for studying non-interaction in networks, particularly instances of intentional avoidance of interaction.

The paper is based on the analysis of instances of interaction avoidance across four case studies in medical technology development, food product development, food distribution network change, and regional innovation in construction.

Some answers are provided to the questions of why and how actors may seek to avoid interaction. Five modes of interaction avoidance are identified and outlined. Within these modes, interaction avoidance took place in order to protect knowledge, enforce progress, economise in business networks, avoid wasting resources, and maintain opportunities respectively. This list is not seen to be exhaustive of the theme, and further studies are encouraged.

Few inter-organisational network studies have dealt explicitly with interaction avoidance or non-interaction.