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Purpose -The purpose of this paper is to provide a reliable and accurate instrument to assess the supply chain risk of similar comparable industries. This enables the firms which fall in this category of industry to identify and incorporate suitable risk sources under various risk constructs. This paper also provides a framework to the top management to prioritize the various risk constructs. Design/methodology/approach -A systematic approach is used to develop and validate an instrument for assessing overall risk of supply chain. This includes specifying the domain and dimensionality of a construct, generation of initial pool of items, refinement of the initial items by the expert group, assessment of content validity, evaluation of reliability and construct validity of the scale items. Also a higher order measurement model of structural equation modeling is used to prioritize the various risk constructs. Findings -The process yielded a robust instrument to assess overall risk of the supply chain. Through empirical verification, this instrument is shown to exhibit high levels of reliability and validity. The framework for prioritization of risk constructs revealed the importance of various supply chain risk constructs. Practical implications -The framework is intended to be useful in practice for assessment of overall risk of heavy engineering industries supply chain. The procedure will be extended for development of risk assessment instrument for other industries which shares a common risk profile. Prioritization of various risk constructs with respect to the overall risk enables the top management to focus their attention to plan and manage the supply chain risks based on their relative importance. Originality/value -This paper fulfils an identified need for the development of an empirically validated instrument by identifying the significant supply chain risk sources under major supply chain risk constructs for assessing the supply chain risk of industries which are similar in their risk profiles. Also provides a higher order model to identify the most influential risk constructs.

Purpose This paper aims to develop a corporate financial distress model for Indian listed companies using financial and non-financial parameters by using a conditional logit regression technique. Design/methodology/approach This study used a sample of 96 companies, of which 48 were declared sick between 2014 and 2016. The sample was divided into a training sample and a testing sample. The variables for the study included nine financial variables and four non-financial variables. The models were developed using financial variables alone as well as combining financial and non-financial variables. The performance of the test sample was measured with confusion matrix, sensitivity, specificity, precision, F-measure, Types 1 and 2 error. Findings The results show that models with financial variables had a prediction accuracy of 85.19 and 86.11 per cent, whereas models with a combination of financial and non-financial variables predict with comparatively better accuracy of 89.81 and 91.67 per cent. Net asset value, long-term debt–equity ratio, return on investment, retention ratio, age, promoters holdings pledged and institutional holdings are the critical financial and non-financial predictors of financial distress. Originality/value This study contributes to the financial distress prediction literature in different ways. First, there have been, until now, few studies in the area of financial distress prediction in the Indian context. Second, business failure studies in the past have used only financial variables. The authors have combined financial and non-financial variables in their model to increase predictive ability. Thirdly, in most earlier studies, variable institutional holdings were found to affect financial distress negatively. In contrast, the authors found this parameter to be positively significant to the financial distress of the company. Finally, there have hitherto been few studies that have used promoter holdings pledged (PHP) or pledge ratio. The authors found this variable to influence business failure positively.

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Cause-related marketing (CrM) has been a topic of interest to academicians, researchers and practitioners in disciplines of marketing. The increasing number of publications by various authors in this area reflects its importance. In this work, we review research papers on CrM that have been published in peer-reviewed journals in the past two decades to provide insights to researchers and practitioners into the various factors that influence the success of CrM. This study summarizes and critiques empirical findings found in cause-related marketing literature from 1988. Three hundred and two papers published in reputed journals during this period are reviewed. The review also identifies knowledge gaps in the area of CrM.

The objective of this paper is to examine the relationship between organizational citizenship behaviors (OCBs) and knowledge sharing. In this, the study proposes a model in which the five components of OCBs conducive to spontaneous behaviors are conducive to knowledge sharing As Wasko and Teigland claim that sharing may be attributed to a lack of OCBs, managers should first re-examine their corporate culture of OCBs, because a corporate culture encouraging employees to enhance the well-being, influence the knowledge sharing. The study was conducted on 181 part-time undergraduate students who work as full-time employees in a variety of industries during the daytime. The constructs in this study were measured using five-point Likert scales drawn and modified from the existing literature. Structural equation modeling (SEM) is used to explore the relationship between five components of organizational citizenship behavior and knowledge sharing. The test revealed that all the five components of OCBs are positively and significantly related to knowledge sharing. Lastly, the study includes discussion on implications and limitations of the study as the final section of this research. Copyright