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This chapter provides a contemporary view of state-of-the science research and thinking done in the areas of selection and classification. It takes as a starting point the observation that the world of work is undergoing important changes that are likely to result in different occupational and organizational structures. In this context, we review recent research on criteria, especially models of job performance, followed by sections on predictors, including ability, personality, vocational interests, biodata, and situational judgment tests. The paper also discusses person-organization fit models, as alternatives or complements to the traditional person-job fit paradigm.

Meta-analysis has been relied on relatively infrequently in strategic management studies, certainly as compared to other fields such as the medical sciences, psychology, and education. This may be unfortunate, as there are several aspects of the manner in which strategic management studies are typically conducted that make them especially appropriate for this approach. To this end, we provide a brief foundation for meta-analysis, an example of meta-analysis, and a discussion of those elements that strongly recommend the efficacy of meta-analysis for the synthesis of strategic management studies.

This study analyzes the performance implications of adopting blockchain to support supply chain business processes. The technology holds as many promises as implementation challenges, so interest in its impact on operational performance has grown steadily over the last few years.

Drawing on transaction cost economics and the contingency theory, we built a set of hypotheses. These were tested through a long-term event study and an ordinary least squares regression involving 130 adopters listed in North America.

Compared with the control sample, adopters displayed significant abnormal performance in terms of labor productivity, operating cycle and profitability, whereas sales appeared unaffected. Firms in regulated settings and closer to the end customer showed more positive effects. Neither industry-level competition nor the early involvement of a project partner emerged as relevant contextual factors.

This research presents the first extensive analysis of operational performance based on objective measures. In contrast to previous studies and theoretical predictions, the results indicate that blockchain adoption is not associated with sales improvement. This can be explained considering that secure data storage and sharing do not guarantee the factual credibility of recorded data, which needs to be proved to customers in alternative ways. Conversely, improvements in other operational performance dimensions confirm that blockchain can support inter-organizational transactions more efficiently. The results are relevant in times when, following hype, there are signs of disengagement with the technology.

At ISEF'89 we spoke about our work concerning two dimensional (2D) modelling of magnetic heads. Starting with the magnetostatic transmission problem for a magnetic domain with finite permeability ? we derived an integral formulation for the scalar potential which was treated using the Boundary Element Method (BEM). By discretising the boundary only, one can get the potential and the magnetic field in each point of the plane. Further calculations yield the efficiency and the response of the head. These investigations resulted in our system BEA86 which can be used on a PC interactively for designing integrated magnetic heads. Next step was to realise the method described above in the 3D case. But of course this was not possible on a PC. Even on a Micro VAX it took more than one hour to solve a head problem including field and efficiency calculation with our system BOASPM. So our idea was to simulate the 3D‐behaviour of a magnetic head in a more simple way (see Fig. 1 to compare the three models).

The purpose of this paper is to draw on previous work in multiple disciplines to establish a theoretical framework for clinical decision-making that incorporates non-medical factors, such as race/ethnicity, into the way physicians make decisions in the practice of medicine. The proposed Rapid Clinical Decision in Context (RCDC) model attempts to understand the influence of various contextual elements on physicians’ decision-making process. The RCDC model provides a basis for future studies to move beyond documentation of areas where disparities exist to understand the causes of the disparities and designing interventions to address those causes. The paper concludes with a discussion on possible studies to test the proposed model.

Humanitarian organizations are responsible for delivering aid under diverse circumstances in various contexts. We argue that humanitarian organizations face specific challenges in their logistics and operations. Thus, adequate supply chain risk management is required to facilitate effective and efficient humanitarian aid delivery.

We first identify potential supply chain risks in humanitarian aid delivery from the literature. We then utilize an expert survey to determine the probability and impact ratings of the identified risks, assessing the importance of six aggregated risk categories. To examine the influence of contingencies on a country, organization, and crisis level, we investigate the effect of ten contextual factors on the importance of different supply chain risks in humanitarian aid delivery.

We derive six relevant risk categories for humanitarian aid delivery and develop five propositions concerning criticality, context-sensitivity, relevant contingencies, and risk management approaches. Findings and propositions encourage and guide future research on the topic.

Risk identification and assessment support mission-specific decision-making. Our findings encourage and foster organizational learning between missions. A differentiated view of risk types allows for stronger inter-organizational collaboration within the sector and beyond.

This study is among the first to derive supply chain risks and categories specific to humanitarian aid delivery. Contingency analysis on a country, organization, and crisis level offers unique insights into risk management in humanitarian aid delivery.

Supervisory abuse is a form of destructive leadership. Research has continued to document many deleterious consequences associated with such improper behavior at work. This study further extends its consequences by testing a model linking abusive supervision to job apathy through a climate of fear.

This study drew on affective events theory in investigating the role of the climate of fear in instances where casual workers perceive abuse in commercial banks. A three-wave and three-week time lag approach was adopted for data collection from 245 casual workers in southeastern Nigeria.

Results from partial least squares structural equation modeling supported the model by showing that abusive supervision had a direct positive relationship with the climate of fear and job apathy, while the climate of fear related positively to job apathy. Results also revealed that the climate of fear partially mediated the relationship between abusive supervision and job apathy.

Managers can be trained to become more supportive and less abusive to address the problem of abusive supervision. Furthermore, casual workers are encouraged to report any abuse from their manager to higher authorities inside or outside their workplace.

This study sheds new insights and advances the abusive supervision literature by investigating the climate of fear as the underlying mechanism.

In light of the growing interest in neuroscience within the managerial and organizational cognition (MOC) scholarly domain at large, this chapter advances current knowledge on core neuroscience methods. It does so by building on the theoretical analysis put forward by Healey and Hodgkinson (2014, 2015), and by offering a thorough – yet accessible – methodological framework for a better understanding of key cognitive and social neuroscience methods. Classifying neuroscience methods based on their degree of resolution, functionality, and anatomical focus, the chapter outlines their features, practicalities, advantages and disadvantages. Specifically, it focuses on functional magnetic resonance imaging, electroencephalography, magnetoencephalography, heart rate variability, and skin conductance response. Equipped with knowledge of these methods, researchers will be able to further their understanding of the potential synergies between management and neuroscience, to better appreciate and evaluate the value of neuroscience methods, and to look at new ways to frame old and new research questions in MOC. The chapter also builds bridges between researchers and practitioners by rebalancing the hype and hopes surrounding the use of neuroscience in management theory and practice.