29 research outputs found
SME insolvency, bankruptcy, and survival: an examination of retrenchment strategies
A key assertion in the turnaround literature is that when survival is threatened, it is necessary to undertake asset and cost retrenchment strategies that stabilise the performance decline and provide a base for survival and recovery. Correcting for methodological weaknesses in the literature, this study of Spanish SMEs finds that retrenchment of inventory and employees is associated with liquidation. Furthermore, neither intangible asset nor tangible asset retrenchment is associated with survival. Only retrenchment of debt is associated with survival. These results challenge conventional wisdom on retrenchment in turnaround situations. Automatic, across-the-board retrenchment is not a universal panacea to achieve turnaround and should not be implemented as a reflex response to insolvency. Instead, managers of insolvent firms should focus on liquidity and operational improvements, which result in debt reduction. Great care should be taken with the need for, and the extent of, retrenchment in inventory and employees
The Effects of Failure-induced and Threat-rigidity Strategy on Turnaround Performance of Insolvent Companies
Case Study: Transformational Entrepreneurship in the UK:“From UK Bread Waste to Global Beer Brand”
Flood risk analysis in the Kosi river basin, north Bihar using multi-parametric approach of Analytical Hierarchy Process (AHP)
The Effects of Low Inventory on the Development of Productivity Norms
Low inventory, a crucial part of just-in-time (JIT) manufacturing systems, enjoys increasing application worldwide, yet the behavioral effects of such systems remain largely unexplored. Operations research (OR) models of low-inventory systems typically use a simplifying assumption that processing times of individual workers are independent random variables. This leads to predictions that low-inventory systems will exhibit production interruptions leading to lower productivity. Yet empirical results suggest that low-inventory systems do not exhibit the predicted productivity losses. This paper develops a model integrating feedback, goal setting, group cohesiveness, task norms, and peer pressure to predict how individual behavior may adjust to alleviate production interruptions in low-inventory systems. In doing so we integrate previous research on the development of task norms. Operations research models are used to show how norms can significantly improve throughput by decreasing variance and increasing the speed of the slowest workers, even if accompanied by decreases in speed of the fastest workers. Findings suggest that low-inventory systems induce individual and group responses that cause behavioral changes that mitigate production interruptions.group norms, work teams, job design, JIT, cohesiveness, feedback, peer pressure