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Institution

Prin. L. N. Welingkar Institute of Management Development and Research

EducationMumbai, Maharashtra, India
About: Prin. L. N. Welingkar Institute of Management Development and Research is a(n) education organization based out in Mumbai, Maharashtra, India. It is known for research contribution in the topic(s): Empirical research & Social media. The organization has 59 authors who have published 55 publication(s) receiving 710 citation(s). The organization is also known as: Welingkar Institute of Management Development and Research & WeSchool.
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Journal ArticleDOI
TL;DR: This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.
Abstract: As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.

313 citations


Journal ArticleDOI
Abstract: As multinational organizations increase operations in emerging economies, firms need to understand how cultural values prevailing in a host country can influence leadership practices developed and practiced in Western economies. This study explores the relationships among leadership styles and salespeople's attitudes and behaviours with data from salespeople in India with power distance measured at the individual level. Results suggest that for employees' instrumental leadership is more effective in promoting employee effort and increasing job performance. In addition, the relationship between satisfaction with supervisor and turnover intentions is weaker or insignificant, while the relationship between satisfaction with supervisor and effort is stronger for employees in higher power distance organizations. The study highlights cultural sensitivities that need to be considered in formulating an effective leadership style in emerging market contexts.

71 citations


Journal ArticleDOI
TL;DR: This study proposed new determinants, namely risk analysis and perceived IT security risk as an extension of the Technology Organization Environment (TOE) model to guide the decision and policy-makers for easy evaluation of their organizational goals for choosing the most suitable computing environment for improving the efficiency and effectiveness of their business performance.
Abstract: This investigation aims to propose a hybrid three-stage Structural Equation Modeling (SEM) - Artificial Neural Network (ANN) - Interpretive Structural Modeling (ISM) approach, together abbreviated as the SEANIS, for analyzing the factors influencing cloud computing adoption (CCA) services in the context of Indian private organizations. This study proposed new determinants, namely risk analysis and perceived IT security risk as an extension of the Technology Organization Environment (TOE) model. The data collected from the industry experts were analyzed using SEM and ANN approaches. The results of SEM revealed that trust (T), management style (MS), technology innovation (TI), risk analysis (RA), and perceived IT security risk (PITR) exercised a significant influence on CCA. The SEM results were taken as inputs for the ANN approach and ISM methodology. The results of ANN highlighted that perceived IT security risk, trust, and management style were the most important determinants for CCA. On the other hand, the ISM tool identified five factors, namely, decrease of internal systems availability (F1) (PITR cluster), utilization of internal resources (F14) (MS cluster), assurance of data privacy increases adoption rate (F16) (T cluster), innovativeness (F21), and previous experience (F22) (both from the TI cluster) as the top five significant variables with high driving power, among the 43 factors. The outcome of the hybrid approach is intended to guide the decision and policy-makers for easy evaluation of their organizational goals for choosing the most suitable computing environment for improving the efficiency and effectiveness of their business performance.

52 citations


Journal ArticleDOI
Abstract: Green management is a strategic approach to minimize an organizational supply chain effect on the environment while expanding its economic performance. In so doing, performance focused dimensions are imperative in optimizing resources consumption and accomplishing sustainability concepts in an organizational context. In the present study, ‘hard (operational and technology-based) and soft (human resource based)’ performance indicators of the green value chain are analyzed in the Indian agro-based industry context. The performance indicators were identified using literature resource and further analyzed by using a quantitative approach. Several hypotheses were formulated for exploring the interrelationship between the ‘green practices’ and ‘business performance’ in the agro sector. For this work, 490 responses were gathered from a diverse set of respondents. Research findings reveal that ‘Collaborative Green Transportation and Cold storages’ have a higher influence on operational performance. The present research can assist managers, regulating authorities, and decision makers in understanding the linkage between the green-focused - operational and human resource related factors and business operational performance in agro food supply context. Based on the findings, the decision makers need to develop policies for improving the overall efficiency of the case sector. Researchers can carry out investigations by applying various multi-attribute decision making tools and formulating hypothesis, which can be further tested by statistical tools across various industries and in different economies.

49 citations


Journal ArticleDOI
TL;DR: The study finds that peers are likely to invest blind faith in the content shared on social media groups without subjecting it to verification, and identifies the threat of biased peers, who spread irresponsible content with predetermined motives to influence members of certain socialMedia groups.
Abstract: This study investigates the influence of antecedents of user trust amongst peers on social media platforms that they apply without sufficient cognitive judgment. Based on extensive literature review and analysis of social theories, we propose a theoretical framework for social media trust (SMT). Based on the SMT model, we conduct empirical analysis using structural equation modeling to verify the cause-effect relationships hypothesized in this study. The findings reveal that initial formation of SMT relies on five predictors - fulfilled expectations, predictability, familiarity, monitor, and norms. These findings have significant theoretical and practical implications. The study finds that peers are likely to invest blind faith in the content shared on social media groups without subjecting it to verification. It also identifies the threat of biased peers, who spread irresponsible content with predetermined motives to influence members of certain social media groups. Policymakers can use insights from this study to highlight the ills of non-verification, and its potential to cause harm at the very extreme.

24 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
20219
20209
20196
20189
20172