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This study attempts to quantify the degree of independence of Central Bank of India from both legal and behavioural contexts over the period 1990–1991 to 2018–2019, a period encompassing major developments in the operation and regulation of Reserve Bank of India (RBI).

We followed Jasmine et al. (2019) to calculate the magnitude of de jure independence of RBI and for de facto independence, “turnover rate (TOR) of CB governor” as proposed by Cukierman et al. (1992) is applied.

The results report that the legal autonomy of RBI increased specifically after the reforms and post formulation of Monetary Policy Committee (MPC). However, the actual independence of RBI remains more or less in line within the critical threshold limit of 0.2.

The study proposes effective implementation of laws and procedures designed to promote the independence of Central Bank of India imperative for an effective monetary operation along with a coordinated fiscal policy.

Targeted study of a particular central bank on its “independence” aspect in general and of the Reserve Bank of India in particular has not been attempted as on date. It is to this end that the present study contributes.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0098.

The learning outcomes are as follows: to identify and analyze the importance of operations management in a situation demanding minimizing environmental impact and maintaining operational momentum; access the risks faced during project executions and apply project management concepts to facilitate Karachi Steel in implementing indigenous technological solutions; and evaluate the importance of adaptability, continuous improvement and innovation in creating sustainable solutions to address complex challenges.

Javaid Iqbal, CEO of Karachi Steel, was the case’s protagonist. With capacity expansion, Javaid relocated the steel facility from Rawalpindi to Islamabad, Pakistan. The company encountered several difficulties because of the air emissions’ inconvenience to nearby residents and the strict environmental regulations. To push the emissions into the air, the company first installed a locally fabricated chimney. Later, they hired a foreign Pakistani engineering firm to install air filters, but the project proved unsuccessful. To control emissions, the company developed a Wet Particulate Control (WPC) system based on a water-sprinkling mechanism. The endeavor was successful, but it resulted in water pollution. As a result, Karachi Steel signed a contract with a local engineering company that invented and effectively installed an air filtration system. Karachi Steel not only devised solutions for their predicaments but also made significant contributions toward achieving the Sustainable Development Goals (SDGs). However, the emissions reporting and monitoring mechanism continued to cause inconvenience for regulators. In addition, the filtration facility encountered a blocked duct conveying zinc sulfate from smoke, resulting in the periodic suspension of operations. As Karachi Steel seek long-term solutions to current challenges, it is critical to examine the relationship between internal circumstances and external forces and stimulate a holistic approach to resolving issues within the realms of operations management and project management.

The case study is suitable for students pursuing their undergraduate degree programs in business studies or management sciences. This case can be taught in specific subjects in the domain of management sciences, including project management and operations management. Furthermore, undergraduate students pursuing degrees in environmental sciences, specializing in environmental impact assessment and sustainable development, can also learn from this case study. These subjects have the potential to provide students with a detailed understanding of the dynamic relationship between environmental problems caused by business activities, and how to address these challenges using principles of project management and operations management. There is no pre-requisite for this case study, and the level of difficulty is moderate. The recommended teaching pedagogy for this multidisciplinary case study includes role-playing exercises, simulations to replicate real-world situations and the Socratic method, which encourages critical thinking.

Teaching notes are available for educators only.

CSS 7: Management Science.

Despite the growing interest in closed-loop manufacturing, there is a lack of comprehensive frameworks that integrate product development, production processes, people and policies (4Ps) to optimize sustainable manufacturing performance. This study investigates the influence of the four Ps of closed-loop manufacturing systems (product development, production processes, people and policies) on sustainable manufacturing performance (SMP).

To investigate the influence of the four Ps on SMP, a hybrid analytical model was employed, combining structural equation modeling (SEM) with artificial neural networks (ANN). Data were collected through a structured survey administered to 353 manufacturing firms in Malaysia. SEM was used to assess the relationships between the variables, while ANN was employed to capture nonlinear relationships and improve prediction accuracy.

The research findings demonstrate that product development practices, including eco-design, life cycle assessment and resource planning, exert the most significant influence on SMP. Furthermore, implementing green and lean manufacturing techniques, energy modeling and material utilization/toxicity planning significantly enhances sustainability outcomes. While the social setting (employee motivation, turnover and work–life quality) does not directly impact SMP, it plays a pivotal role in facilitating the implementation of internal environmental policies. Moreover, environmental management practices, both mandatory and voluntary, serve as intermediaries between the four Ps and SMP within closed-loop manufacturing systems.

The findings offer valuable insights for policymakers, industry leaders and manufacturing organizations. By prioritizing product development, implementing green and lean manufacturing practices and fostering a positive social setting, organizations can significantly enhance their sustainable performance. Additionally, the study highlights the importance of effective environmental management practices in mediating the relationship between other factors and SMP.

This study contributes to the literature by providing a comprehensive framework for understanding the factors that drive sustainable manufacturing performance. The hybrid SEM-ANN model offers a robust and innovative approach to analyzing the complex relationships between the four Ps and SMP.

The complex network structure causes several disruptions in the supply chain that make risk management essential for supply chain management including halal supply chain (HSM). During risk management, several challenges are associated with the risk assessment phase, such as incomplete and uncertain information about the system. To cater this, the authors propose a risk assessment framework that addresses the issues of uncertainty using neutrosophic theory and demonstrated the applicability of the proposed framework through the case of halal supply chain management (HSCM).

The proposed framework is using the capabilities of the neutrosophic number which can handle uncertain, vague and incomplete information. Initially, the risk related to the HSC is identified through a literature review and expert’s input. Further, the probability and impact of each HSM-related risk are assessed using experts’ input through linguistic terms. These linguistic values are transformed into single-value trapezoidal neutrosophic numbers (SVTNNs). Finally, the severity of each HSM-related risk is determined through the multiplication of the probability and impact of each risk and prioritised the risks based on their severity.

A comprehensive risk assessment framework is developed that could be used under uncertainty. Initially, 16 risks are identified related to the HSM. Further, the identified risks are prioritised using the severity of the risks. The high-priority risk is “raw material status”, “raw material wholesomeness” and “origin of raw material” while “information integrity” and “people integrity” are low-priority risks.

HSM risk can be effectively assessed through the proposed framework. The proposed framework applied neutrosophic numbers to represent real-life situations, and it could be used for other supply chains as well.

The proposed method is effectively addressing the issue of linguistic subjectivity, inconsistent information and uncertainty in the expert’s opinion. A case study of the HSC is adopted to illustrate the efficiency and applicability of the proposed risk framework.

Drawing on the Job Demands-Resources (JD-R) theory, the primary goal of this study is to conceptualise and empirically validate a theoretical framework that explains the process by which digital job resources influence the innovative work behaviour of technological professionals. Specifically, this study aims to examine the impact of digital job resources, especially digital training, and digital communication, on employee digital engagement. Furthermore, it investigates the influence of digital engagement on digital leadership and the effect of digital leadership on innovative work behaviour. Lastly, the study examines whether digital engagement and digital leadership serially mediate the relationship between digital job resources and innovative work behaviour.

Data were collected from full-time technological professionals using multiple sampling techniques. A total of 307 samples were utilised for the final data analysis. Partial Least Squares Structural Equation Modelling (PLS-SEM), employing SmartPLS 4.0, was used to test the study hypotheses.

The findings of this study emphasize that digital engagement and digital leadership are pivotal in mediating the impact of digital communication on technological professionals' innovative work behaviour. Specifically, our results show that digital communication significantly shapes the digital engagement of these professionals. Digital engagement, in turn, positively influences digital leadership, which then fosters technological professionals’ innovative work behaviour. Notably, both digital engagement and digital leadership serve as mechanisms that link digital communication and innovative work behaviour. Contrary to our initial expectations, the study finds that digital training neither directly affects digital engagement nor has an indirect effect on innovative work behaviour.

The present study is distinct in offering a theoretical framework outlining the steps through which digital resources influence technological professionals' digital engagement, digital leadership capabilities, and their innovative work behaviour. Prior studies have predominantly focused on antecedents of innovative work behaviour, with an emphasis on individual characteristics and organisational environmental factors. There is limited research exploring how, or even if, digital job resources – such as digital training and digital communication – affect employees’ innovative work behaviour. Additionally, the examination of the interrelationship between digital engagement and digital leadership is notably lacking in existing literature. Much of the research has instead probed the converse relationship: how leadership styles impact employees' engagement. Lastly, this research is among the pioneering efforts to consider the serial mediating role of digital engagement and digital leadership between digital job resources and innovative work behaviour, a topic that remains underrepresented in academic discourse. This study addresses these gaps.

Modern technologies are seen as an essential component of the fourth industrial revolution (industry 4.0) and their adoption is vital to transform the existing manufacturing system into industry 4.0-based manufacturing system. Therefore, the primary objective of this research explores the barriers of modern technology adoption and their mitigating solutions in order to align with Industry 4.0 objectives.

Barriers to adopting modern technologies and respective mitigating solutions are identified from the available literature. Further, these barriers are ranked with the help of expert opinions by using the BWM method appropriately. The identified solutions are ranked using the combined compromise solution (CoCoSo) method.

Several modern technologies and their capabilities are recognised to support the industry 4.0-based manufacturing systems. This study identifies 22 barriers to the effective adoption of modern technologies in manufacturing and 14 solutions to overcome these barriers. Change management, the high initial cost of technology and appropriate support infrastructure are the most significant barriers. The most prominent solutions to overcome the most considerable barriers are ‘supportive research, development and commercialisation environment’, ‘updated policy and effective implementation’ and ‘capacity building through training’ that are the top three solutions that need to be addressed.

The barriers and solutions of modern technology adoption are obtained through a comprehensive literature review, so there is a chance to ignore some significant barriers and their solutions. Furthermore, ranking barriers and solutions is done with expert opinion, which is not free from biases.

This identification and prioritisation of barriers will help managers to understand the barriers so they can better prepare themselves. Furthermore, the suggested solutions to overcome these barriers are helpful for the managers and could be strategically adopted through optimal resource utilisation.

This study proposes a framework to identify and analyse the significant barriers and solutions to adopting modern technologies in the manufacturing system. It might be helpful for manufacturing organisations that are willing to transform their manufacturing system into industry 4.0.

This study aims to investigate technology-based health and safety (H&S) management to control the spread of disease on construction sites using a partial least squares structural equation modelling (PLS-SEM) approach.

An extensive literature review is conducted to develop a conceptual framework. The variables identified from the literature review are included in a cross-sectional survey which gathered a total of 203 valid feedback. The variables for challenges are grouped under their relevant construct using exploratory factor analysis. Then, a hypothesized model is developed for PLS-SEM analysis using Smart PLS software. Later, the outcome of the model is further validated by nine construction experts using a semi-structured questionnaire survey.

The results rationalized the relationships between the COVID-19 H&S measures, challenges in implementing COVID-19 H&S measures on construction sites and the innovative technologies in transforming construction H&S management during the COVID-19 pandemic. The possible challenges that obstruct the implementation of H&S measures are highlighted. The potential technologies which can significantly transform H&S management by reducing the impact of challenges are presented.

The findings benefited the industry practitioners who are suffering disruption in construction operations due to the pneumonic plague.

By developing a conceptual model, this study reveals the contribution of technology-based H&S management for construction projects during the COVID-19 pandemic, which remains under-studied, especially in the context of the developing world.

This study aims to use an authentic leadership style to explore that whether male or female leadership of private academic institutions highly influences affective organizational commitment and tacit knowledge sharing among the library teachers. Additionally, this study encompasses the trust of library teachers and justifies whether the trust under male or female leadership highly moderates the effect on tacit knowledge sharing.

By using structural equation modeling, this study tests two leadership models (e.g. male and female leadership models). Using a convenient sampling approach, the researcher collects data from library teachers of private academic institutions in district Sheikhupura, Pakistan through face-to-face interaction. The study administered 650 survey questionnaires among the library teachers; however, 403 questionnaires were answered validly and reliably. The response rate was 62%.

The study found the direct and indirect effect of authentic leadership on affective organizational commitment and tacit knowledge sharing however, male authentic leadership influence on affective organizational commitment and tacit knowledge sharing was quite higher than female authentic leadership. Resultantly, the library teachers were more committed to sharing tacit knowledge under male leadership than female. Nevertheless, the moderating role of trust was found in female leadership but not in male leadership. Simply, the library teachers under male leadership were hesitant to trust others, so the chain of sharing hidden ideas and image of libraries was not found in male leadership.

Private academic institutions need authentic leaders to shape the knowledge economy of libraries and the structure of the academic institutions. For this reason, this study provides practical implications for managers that male leadership should be hired in academic institutions because it has a higher influence on librarians’ commitment and tacit knowledge sharing among peers as compare to female leadership.

To the best of the authors’ knowledge, this was the first study that differentiates the capabilities and skills of male and female authentic leadership in private academic institutions. Further, it suggests hiring male leaders in these institutions.

Kashmir is widely recognised as a prominent tourist destination within the Himalayan region of India. The Valley is abundant with a diverse range of valuable tourism assets. In order to ensure the sustainable utilization of these tourism resources, the implementation of an appropriate tourism policy is necessary. The primary objective of this study is to analyse government policies pertaining to the expansion and advancement of tourism in the Kashmir region. Additionally, the study also seeks to evaluate the potential for tourism and the influx of tourists in Kashmir. The Government of India has developed a preliminary tourist policy, as indicated by the research findings. It also focuses on enhancing human resources and tourism infrastructure, ensuring the safety and security of tourists and promoting tourism education within the state. Furthermore, the government is diligently endeavouring to foster the growth of ecotourism and lesser known tourist locations through collaborative efforts with many relevant entities. This study utilises secondary data sources to analyse the economic implications of tourism in the region of Jammu and Kashmir. It aims to investigate several indicators of economic progress, including tourist arrivals, job creation, the state's gross domestic product (GDP), infrastructure development and regional advancement. In addition to the agricultural industry, the tourist sector has emerged as a prominent contributor to the economy, serving as a significant source of income and employment opportunities.

This study has incorporated competitiveness by considering it a significant factor behind determining as well as moderating industrial value added in the environmental Kuznets curve (EKC) framework. This study aims to explore the moderating role of competitiveness policy in EKC with an aim to promote business led sustainability at national level.

Considering the environmental deterioration aspect of industrialization, this study tests the existence of EKC for SAARC countries using the data from 1996 to 2021 using second-generation static panel data model.

Estimated results have validated that moderating effect is responsible for improving environmental sustainability in SAARC countries. Furthermore, population density is responsible for increasing while trade openness is responsible for decreasing carbon emissions.

Higher industrial activities are a symbol of upward-moving economic growth. But its other impact is in the form of environmental deterioration. However, the relationship between industrialization and environmental quality can be identified through EKC.