Suchergebnisse

ABSTRACTSupply chain network (SCN) redesign is a strategic decision that requires the consideration of several important financial aspects. A review of the supply chain network design (SCND) literature shows that most of the provided solutions lack the measurement and incorporation of the company's financial performance. This study extends the SCN redesign model, introduced by Jahani et al. (2018), in order to allow financial performance optimization instead of profit maximization. The model uses essential accounts existing in the basic financial statements of an SCN company to delineate how the strategic financial considerations can influence the network structure and its operational flows. It ascertains the future financial position of the company, as well as the optimal levels of loans and the proportion of available cash required for financing the new design. We examine the applicability of the model by consolidating financial data with the case study used in Jahani et al. (2018). We evaluate the resulting financial ratios of the new model with existing ratios aimed at representing the reliability of the model and introducing future targets. This study offers several managerial insights. For instance, consideration of inventory values as a current asset in designing an SCN leads to a realistic design aligned with financial statements that are also reportable to creditors and investors.

The present research was performed to investigate the role of self-efficacy and negative perfectionism in the prediction of procrastination of narcissistic personality. This is a descriptive research of correlational type for which performance a total of 412 students were selected via random multi-stage sampling method. In order to examine the research hypothesis and accomplish the research objective, the participants were provided with a questionnaire composed of Narcissistic Personality Inventory-16, General Procrastination Scale, General Self-Efficacy Scale, and Positive and Negative Perfectionism Scale. Collected data were analysed using descriptive statistics, Pearson's correlation coefficient, and stepwise multiple regression. Results of the research indicated significant associations between self-efficacy, negative perfectionism, and narcissism, in one hand, and procrastination, on the other hand, so that, as variables, self-efficacy, negative perfectionism, and narcissism could explain 10% of the variance in procrastination. Results of the present research indicated the importance of self-efficacy, negative perfectionism, and narcissism in the development and exacerbation of procrastination, and placed an emphasis on the necessity of paying attention to the role of such effective antecedents by mental health-related authorities, so as to reduce procrastination.

ABSTRACTDesigning effective settings for performance measures (e.g., fill rate) of a service‐level agreement (SLA) is challenging. This challenge is intensified when a firm adopts the pooling inventory model to allocate inventory/capacity to multiple buyers. Each buyer has its own service‐level contract outlining the required service level, the penalty structures, and the performance review period (PRP) length, which might not be the same as other buyers. This means the supplier requires an effective resource allocation policy whereby the different requirements of multiple buyers are integrated into a pooling model and capacities/inventories are allocated in the most effective way. Given a base‐stock replenishment policy and finite time horizon PRP, in this study we propose two new (anticipative) allocation policies—foresight linear programming (FLP) and two‐stage stochastic (TS)—and compare them with existing allocation policies. These allocation policies are developed for different penalty structures of linear, lump‐sum, hybrid, and no‐penalty settings. Results show that suppliers benefit from longer PRPs if linear or hybrid penalty structures are employed. We also find that when the length of PRP of buyers is not identical, TS is the recommending policy. Further, results provide a guideline for selecting the best resource allocation policy under various SLA terms, in particular, where buyers' PRP lengths are not identical.