Luca Urciuoli, Sangeeta Mohanty, Juha Hintsa and Else Gerine Boekesteijn
The purpose of this paper is to enhance the understanding about how energy supply chains work to build resilience against exogenous security threats and thereafter what support…
Abstract
Purpose
The purpose of this paper is to enhance the understanding about how energy supply chains work to build resilience against exogenous security threats and thereafter what support mechanisms should be introduced or improved by the European Union.
Design/methodology/approach
Five case studies and data collection from multiple sources is used to understand what exogenous security threats could lead to the disruption of oil and gas flows to Europe, how energy companies, from a supply chain perspective, are working to manage these threats and finally, how the EU may coordinate the security of the energy sector in collaboration with supply chain companies.
Findings
Results show that today, oil and gas supply chains have in place a good combination of disruption strategies, including portfolio diversification, flexible contracts, transport capacity planning and safety stocks. The most relevant security threats the companies fear, include hijacking of vessels (sea piracy), but also terrorism, and wars. Finally, the study highlights that the European Union has built a comprehensive portfolio of strategies to deal with scarcity of oil and gas resources. However, these approaches are not often synchronized with supply chain strategies.
Practical implications
The paper provides guidance for supply chain managers dealing with critical suppliers located in conflict environments. The paper recommends that supply chain managers fine tune their strategies in coordination with governmental actions in foreign politics, dependence reduction and crisis management. This may be achieved by closer communication with governments and potentially through the creation of a pan-European sector alliance.
Originality/value
Previous research discusses the topic of supply chain resilience and supply chain risk management. However, none of these studies report on exogenous security threats and disruption strategies of oil and gas supply chains. At the same time, previous research lacks detailed studies describing the interaction between governments and energy supply chains.
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Avinash D. Pathardikar, Praveen Kumar Mishra and Sangeeta Sahu
This paper aims to examine the effect of procedural justice on affective commitment, through the mediating of organizational trust and job satisfaction.
Abstract
Purpose
This paper aims to examine the effect of procedural justice on affective commitment, through the mediating of organizational trust and job satisfaction.
Design/methodology/approach
Data were collected from 305 executives working in eight large cement organizations through a standardized questionnaire. Confirmatory factor analysis, structural equation modelling and mediation analysis were performed to examine the relationship.
Findings
Procedural justice significantly influenced job satisfaction and organizational trust directly. Organizational trust and job satisfaction are partially mediated by organizational justice and affective commitment. Interestingly, procedural justice does not influence affective commitment directly.
Originality/value
Procedural justice and affective commitment are crucial aspects of an organization. Limited research has been conducted linking procedural justice, organizational trust, job satisfaction and affective commitment. This study was conducted in the South Asian country of India, where power-distance prevails
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Shubham Garg, Sangeeta Mittal and Aman Garg
This study aims to investigate the determinants of GSTefficiency of the Indian states to assist the policymakers, government and GST council to devise their policies and…
Abstract
Purpose
This study aims to investigate the determinants of GSTefficiency of the Indian states to assist the policymakers, government and GST council to devise their policies and strategies to boost the GSTefficiency of the Indian states.
Design/methodology/approach
The analysis has used the panel data set of 27 Indian states and 3 UTs with a time span of 2017–18 to 2022–23. The study has used the Generalized Method of Moment regression for exploring the determinants of GSTefficiency of the state governments in India.
Findings
The findings depict that sectoral composition, inflation rate, financial development, state’s self-reliance, per capita income and gross fiscal deficit have a significant effect on GSTefficiency of the state governments. The findings support the Tanzi effect 1977 and claim that the rise in the inflation level erodes GSTefficiency of the state governments. The rise in the self-reliance of the state government will make the Indian states self-dependent and will reduce their reliance on central transfers.
Practical implications
The government should make efforts to make the Indian states self-reliant by increasing the share of OTR (Own Tax Revenue) instead of increasing their revenue efficiency in short-run through devolution and central transfers. Moreover, the Indian government should devise their macro-economic policies to curb the inflation level and gross fiscal deficit of the state governments in the country.
Originality/value
To the best of the authors’ knowledge, this may be the first study to explore the determinants of GSTefficiency of the state governments in India.
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Selim Ahmed, Dewan Mehrab Ashrafi, Rubina Ahmed, Ezaz Ahmed and Md. Azim
The purpose of the study is to investigate the influence of training and development and work–life balance on employee engagement and job performance at private banks in…
Abstract
Purpose
The purpose of the study is to investigate the influence of training and development and work–life balance on employee engagement and job performance at private banks in Bangladesh. This study also investigates the indirect influence of training and development and work–life balance on the job performance of private banks through the mediating role of employee engagement.
Design/methodology/approach
The present study used a self-administered survey questionnaire to collect data from the private bank staff who had been working in the existing bank for more than one year. In this study, 450 survey questionnaires were distributed to the respondents and received 346 useful responses (76.88% response rate). The SmartPLS 4 software was used to determine the reliability and validity of the constructs. The SmartPLS 4 software was also used to test the hypothesised path coefficients via Partial Least Squares Structural Equation Modelling (PLS-SEM).
Findings
The findings of the study indicate that both training and development and work–life balance significantly influence employee engagement and job performance in the private banks. The findings also indicate that both training and development and work–life balance indirectly significantly influence the job performance of the private bank through the mediating role of employee engagement.
Practical implications
This study suggests various practical implications. Managers should provide opportunities for employees to actively participate in employee training. The present study also suggests that managers should also prioritise and model a healthy work–life balance because when leaders value work–life balance, employees feel empowered. The findings of the study suggest that organisations should design effective employee development programmes and foster a supportive work environment to motivate their employees to contribute to organisational success.
Originality/value
This study makes significant theoretical contributions to the existing literature on employee engagement and job performance. The present study enhances theoretical depth by highlighting the mediating role of job engagement in achieving job performance, offering a new perspective on the relationship between these variables and paving the way for targeted interventions. The present study also enriches the existing body of literature by examining the impact of training and development and work–life balance through the lens of organisational support theory, presenting a comprehensive understanding of the intricate dynamics at play.
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Nidhi Thakur and Sangeeta Arora
This study aims to explore the determinants (bank-specific, industry-specific and macroeconomic) of income diversification across interest income and non-interest income as well…
Abstract
Purpose
This study aims to explore the determinants (bank-specific, industry-specific and macroeconomic) of income diversification across interest income and non-interest income as well as for non-traditional income sources (non-interest income) from 2004–2005 to 2021–2022.
Design/methodology/approach
An unbalanced data set comprising 110 Indian commercial banks with 1480 observations is sampled in this study. Because of the bounded nature of the dependent variables (proxies of income diversification), the panel Tobit regression model is used.
Findings
The findings reveal that income diversification is positively influenced by bank size, technological advancements, cost–income ratio, return on assets, market competition and inflation in the economy. However, the decision to diversify income sources is adversely impacted by the capital ratio, GDP and financial intermediation ratio. Moreover, factors such as asset quality (loan loss provisions) and liquidity ratio do not directly influence the diversification strategies in the Indian banking industry.
Practical implications
The present study uses an extensive set of variables to provide insights into key factors for bank managers, regulators and policymakers to consider before developing diversification strategies.
Originality/value
To the best of the authors’ knowledge, this is the first study to examine the various bank-specific and macroeconomic determinants that affect income diversification in the Indian banking sector. The current study also investigates new variables such as technological advancements and a market concentration index for measuring competition, which have not been investigated in existing literature concerning bank income diversification in the Indian context.
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Omaima Hajjami and Oliver S. Crocco
The purpose of this study is to investigate the factors that influenced employee engagement in the context of remote work as a result of the COVID-19 pandemic and compare them…
Abstract
Purpose
The purpose of this study is to investigate the factors that influenced employee engagement in the context of remote work as a result of the COVID-19 pandemic and compare them with antecedents of employee engagement in traditional workplaces.
Design/methodology/approach
This study adopted an integrative literature review design of 27 empirical and conceptual peer-reviewed journal articles from a host of academic databases. Data were analyzed via a matrix and mapped onto individual and organizational antecedents of employee engagement.
Findings
This study identified 18 antecedents of remote work, which were categorized into individual antecedents, for example, mindfulness and digital literacy, as well as organizational antecedents, for example, job autonomy and supportive leadership. These findings were compared with antecedents of employee engagement in traditional workplaces to generate new knowledge about the impact of remote work on employee engagement as a result of the large shift to remote work in 2020.
Originality/value
This study synthesizes the most recent literature on antecedents of employee engagement in remote work settings as the result of the pandemic and contrasts these new approaches with previously identified antecedents of employee engagement in traditional workplaces.
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Syed Tehseen Jawaid and Abdul Waheed
The purpose of the study is to develop a macroeconometric model for evaluation of trade policies and forecasting of trade performance of Pakistan with different regions or group…
Abstract
Purpose
The purpose of the study is to develop a macroeconometric model for evaluation of trade policies and forecasting of trade performance of Pakistan with different regions or group of countries.
Design/methodology/approach
These regions or group of countries are Organization of Islamic Cooperation, Organization of Economic Cooperation and Development, Association of Southeast Asian Nations, South Asian Association for Regional Cooperation and the rest of the world. A macroeconometric model containing 15 behavioral equations and eight identities.
Findings
Cointegration results suggest that there exist long-run relationships among variables of all behavioral equations. Additionally, results of different policy shocks based on unit value of export (export price), unit value of import (import price), exchange rate, foreign direct investment, interest rate and foreign exchange reserve suggest that the model is useful for economic planning to sustain growth performance of Pakistan.
Originality/value
In this study, the authors develop for the first time ever a macroeconometric model for the evaluation and forecasting of regional trade policy and performance for Pakistan.