Suchergebnisse

A study of records for 1 large U.S. company revealed that employees with positive drug screens were fired, whereas workers who self‐disclosed drug/alcohol problems remained employed. Both groups were offered substance abuse intervention, and some previously fired workers were rehired after they received treatment. Accident results showed that drug‐test positive employees, as compared with self‐referred workers, had a significantly higher accident rate in all categories. Treatment data revealed that drug‐test positive workers had significantly higher accident rates before and after treatment than self‐referred employees. Posttreatment results showed that drug‐test positive employees had a significant decrease in accidents after services, whereas the self‐referred group showed no change.

Businesses have dealt with substance abuse in different ways. Some organizations have established Employee Assistance Programs (EAPs) to address these problems. One large national company chose to fire employees with positive drug screens, offer them EAP services, and then consider them for rehire after treatment. A study of performance records for 12,167 employees with safety incidents revealed that rehired employees had a significantly higher incident rate than the company's general population. Results indicated no difference in pre‐ and post‐EAP incident rates for rehired workers, and the post‐EAP incident rate fluctuated for 2 years. Implications of hiring/rehiring individuals who abuse drugs and alcohol are discussed, and suggestions are made for future research.

PurposeDeveloping and implementing strategies to maximize profitability is a fundamental challenge facing manufacturers. The complexity of orchestrating resources in practice has been overlooked in the operations field and it is now necessary to go beyond the direct effects of individual resources and uncover different resource configurations that maximize profitability. The paper aims to discuss these issues.Design/methodology/approachDrawing on a sample of US manufacturing firms, multiple regression analysis (MRA) and fuzzy set qualitative comparative analysis (fsQCA) are performed to examine the effects of resource orchestration on firm profitability over time. By comparing the findings between analyses, the study represents a move away from examining the net effects of resource levers on performance alone.FindingsThe findings characterize the resource conditions for manufacturers' high performance, and also for absence of high performance. Pension and retirement expense is a core resource condition with R&D and SG&A as consistent peripheral conditions for profitability. Moreover, although workforce size was found to have a significant negative effect under MRA, this plays a role in manufacturers' performance as a peripheral resource condition under fsQCA.Originality/valueAccounting for different resource deployment configurations, this study deepens knowledge of resource orchestration and presents findings that enable manufacturers to maximize profitability. An empirical contribution is offered by the introduction of a new method for examining manufacturing strategy configurations: fsQCA.

AbstractTensions between police organizations and (community) stakeholders have taken center stage in recent years, with an escalation in protests and divisive rhetoric observed in many countries. Using attribution theory, this study examines how police officers interpret negative stakeholder feedback and how these interpretations shape their behavioral responses. Qualitative analysis based on 148 interviews with European police officers shows that officers make six different attributions about the causes of stakeholder critique, and that these have direct implications for their behavioral responses. In particular, these different attribution patterns are found to play a critical and hitherto unrecognized role in shaping police‐stakeholder relations and organizational learning among police forces.

AbstractFinancial inclusion depends on providing adjusted services for citizens with disclosed vulnerabilities. At the same time, the financial industry needs to adhere to a strict regulatory framework, which is often in conflict with the desire for inclusive, adaptive, and privacy-preserving services. In this article we study how this tension impacts the deployment of privacy-sensitive technologies aimed at financial inclusion. We conduct a qualitative study with banking experts to understand their perspectives on service development for financial inclusion. We build and demonstrate a prototype solution based on open source decentralized identifiers and verifiable credentials software and report on feedback from the banking experts on this system. The technology is promising thanks to its selective disclosure of vulnerabilities to the full control of the individual. This supports GDPR requirements, but at the same time, there is a clear tension between introducing these technologies and fulfilling other regulatory requirements, particularly with respect to "Know Your Customer." We consider the policy implications stemming from these tensions and provide guidelines for the further design of related technologies.