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Supply chains need to be made viable in this volatile and competitive market, which could be possible through digitalization. This study is an attempt to explore the role of Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business performance from the lens of natural resource-based view.

The study tests the proposed model using a covariance-based structural equation modelling and further investigates the ranking of each construct using the artificial neural networks approach in AMOS and SPSS respectively. A total of 234 respondents selected using purposive sampling aided in capturing the industry practices across supply chains in the UK. The full collinearity test was carried out to study the common method bias and the content validity was carried out using the item content validity index and scale content validity index. The convergent and discriminant validity of the constructs and mediation study was carried out in SPSS and AMOS V.23.

The results are overtly inferring the significant impact of Industry 4.0 practices on creating smart and ultimately sustainable supply chains. A partial relationship is established between Industry 4.0 and supply chain agility through a smart supply chain. This work empirically reinstates the combined significance of green practices, Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business value. The study also uses the ANN approach to determine the relative importance of each significant variable found in SEM analysis. ANN determines the ranking among the significant variables, i.e. supply chain resilience > green practices > Industry 4.0> smart supply chain > supply chain agility presented in descending order.

This study is a novel attempt to establish the role of digitalization in SCs for attaining sustainable business value, providing empirical support to the mediating role of supply chain agility, supply chain resilience and smart supply chain and manifests a significant integrated framework. This work reinforces the integrated model that combines all the constructs dealt with in silos so far in prior literature.

Some of the major concerns that still face Jordan include poverty and income inequality, which work to retard economic growth. Poverty and income inequality have been a prevailed issue in Jordan, particularly as it is more prevalent in the countryside than it is in urban areas. Beginning in the 1950s, a series of governmental efforts by the Hashemite Kingdom of Jordan has taken place with the intention of alleviating both poverty and unequal distribution of income. The next research is focused on the extent of poverty and unequal distribution of income in Jordan, together with government interventions for further economic development. Targeting the working population in Amman and Karak, this study uses the questionnaire dissemination method to identify information about the dynamics of poverty and unequal distribution of income and analyze the governmental strategies for improving the present situation. It also provides recommendations toward improvements in education policies and increased funding from the government and nongovernmental organizations to improve living standards among poor and low-income groups.

Current research in the field of behavioural finance has attempted to discover behavioural biases and their characteristics in individual investors’ irrational decision-making. This study aims to find out how biases in information based on knowledge affect decisions about investments.

In step one, through existing research and consultation with specialists, 13 relevant items covering major aspects of bias were determined. In the second step, multiple linear regression and artificial neural network were used to analyse the data of 337 retail investors.

The investment choice was heavily impacted by regret aversion, followed by loss aversion, overconfidence and the Barnum effect. It was observed that the Barnum effect has a statistically significant negative link with investing choices. The research also found that investors’ fear of making mistakes and their tendency to be too sure of themselves were the most significant factors in their decisions about where to put their money.

This research contributes to the expansion of the knowledge base in behavioural finance theory by highlighting the significance of cognitive psychological traits in how leading investors end up making irrational decisions. Portfolio managers, financial institutions and investors in developing markets may all significantly benefit from the information offered.

This research is a one-of-a-kind study, as it analyses the emotional biases along with the cognitive biases of investor decision-making. Investor decisions generally consider the shadowy side of knowledge management.

The study aims to identify the essential competencies for Industry 4.0 within the manufacturing sector, to prioritise developing them among the workforce in creating a competitive advantage for the organization.

The study employs the Analytic Hierarchy Process (AHP), a multi-criteria decision-making (MCDM) methodology to prioritize competencies. Literature review and expert input guided the identification of competencies, which were ranked by experts for their relevance, through pairwise comparisons.

Seven competency groups, encompassing 21 sub-groups, were identified as essential for the Industry 4.0 workforce. Digital-technical and industry-specific competencies emerged as the most prominent to be developed on priority, followed by cognitive and business competencies. Despite their smaller representation, core/generic competencies remain the foundation for developing the newer and more specialised competencies.

Recognising the need for empirical studies in early-adopting organisations of Industry 4.0, future research should explore competencies across industries as well as talent development mechanisms, for a nuanced understanding of competency requirements.

The study informs organisations, educators and policymakers guiding workforce training, talent management and development, educational curriculum aligned with the demands of Industry 4.0 to bridge the competency gaps. It can support India’s strategic initiatives like “Make in India” by fostering a digitally ready and competent workforce.

This research provides an empirically validated, structured framework for Industry 4.0 competency prioritization specific to the manufacturing sector in India. It integrates expert inputs with AHP to rank competencies, offering a contextual understanding of competency requirements. It also contributes to human capital theory by advancing competency mapping for Industry 4.0.

Green Lean Six Sigma (GLSS) is a comprehensive approach that aims to reduce waste, emissions and non-value added activities, thus mark an effective impact on sustainability of firms. Despite the numerous benefits of GLSS implementation, it is evident that Micro Small and Medium Enterprises (MSMEs) are still struggling to understand, integrate and implement this strategy. This research work provides a comprehensive analysis of GLSS within MSMEs and proposes a conceptual integration framework of GLSS for improving economic and environmental dimensions of sustainability MSMEs.

A systematic literature review (SLR) methodology was planned to assess and analyse the research articles from 2007 to 2022. Different key elements of GLSS such as barriers, enablers and tool sets have been thoroughly reviewed and analysed for MSME organisations to understand their behaviour and effectively adopt the GLSS approach in their operations.

This study provides the analysis of different perspectives of GLSS and this will contribute to improve different metrics related to emissions and quality in MSMEs. It provides MSMEs industrial managers with a comprehensive knowledge base of GLSS elements, enabling effective deployment.

The present study provides a significant knowledge base and know-how of GLSS to researchers that will assist in deploying this sustainable approach in different industrial domains. The study also assists industrial managers by providing a systematic framework of GLSS for MSMEs. Further, the study also supports society by proving pathway to improve the environmental dynamics through the execution GLSS.

The study is of the first kind that review different facets of GLSS related to MSME. The study not only enhances theoretical know how of GLSS but also guides practitioners how to implement comprehensive GLSS program for improved environmental sustainability.

Providing high-quality service for airline companies cannot be overstated, as it directly impacts their survival and competitiveness. Hence, there is an increasing need to measure loyalty in the air transport industry. Loyal customers are highly valued as they are less price-sensitive and require minimal communication efforts. Despite this, there is limited knowledge about the factors that influence a passenger’s level of loyalty towards an airline company. Therefore, understanding the precursors of loyalty is essential. This research investigates the serial mediation effect of consumer brand identification (CBI) and perceived value on the relationship between service quality and loyalty.

In this research, quality is related to loyalty through value and CBI. A conclusive research design was adopted to determine whether value and CBI have a serial mediating effect on the quality-loyalty link. The research framework includes a three-path mediation model.

Based on the analysis of 406 questionnaires, the study concludes that a serial mediation effect of CBI and perceived value on the quality-loyalty relationship exists. The research results indicate that CBI has a greater influence on improving customer loyalty than perceived value.

This study contributes to limited research on the serial mediating effect of value and CBI in the quality-loyalty relationship. It also provides empirical evidence on the determinants of loyalty as part of the Turkish aviation industry. This study highlights the significance of CBI as a critical factor for airlines to maintain their competitiveness in the market.

The study investigates service quality in developing customer loyalty in Ghana’s auto detailing industry. The study also examines how customer satisfaction and service innovation indirectly and positively influence the relationship between service quality and customer loyalty.

A sample of 318 respondents, drawn from a convenience sampling method, was utilised for the analysis. Partial Least Squares (PLS) of Structural Equation Modelling (SEM) technique was used to analyse the data to obtain results.

The study established a significant positive relationship between the tangibility dimension of service quality and customer loyalty; however, this influence is indirect through the mediation effect of customer satisfaction between service innovation and customer loyalty.

The study provides a useful guide for policy formulation and implementation by managers of auto detailing services to enhance customer loyalty as a basis of sustainable business performance.

The study is the first of its kind to investigate the role of service quality and customer loyalty being mediated by service innovation and customer satisfaction in the context of Ghana’s auto detailing industry.

The purpose of this study is to develop a systematic approach by demonstrating the Design for Six Sigma (DFSS) approach for reliability improvement of moulded case circuit breaker (MCCB) (current rating 250A).

In this study, the Define, Measure, Analyze, Design and Verify (DMADV) methodology of DFSS has been used to improve the reliability of MCCB. Mechanical endurance test (MET), project risk management, customer-based product development (PD), and other tools and techniques are used appropriately in DMADV methodology for improving the reliability of MCCB.

It has been observed that the reliability of MCCB has been improved from 61.76% to 98.17% for 20,000 operating cycles by implementing suggested improvement measures and the Weibull distribution is the most suitable distribution for reliability analysis of collected data.

This study considered only the aspects of DMADV methodology of the DFSS approach and does not cover other PD approaches such as lean and green PD.

This study clearly shows an enhancement in the reliability of MCCB which further leads to an increase in the warranty period. This will attract more customers and enhance business.

The improvement in the reliability of MCCB would significantly reduce fatal accidents ensuring workplace safety in the industry.

The originality of this study is the reliability assessment using degradation analysis in the design phase of the DMADV process to predict failure during design verification.

This study aims to examine the relationship between religious commitment (RC), environmental values (EVs), behaviour intentions and awareness. In this study, EV is studied as a mediator between the relationship of RC and environmental behavioural intentions. Finally, this study examines the conditional effect of environmental awareness on this mediation.

This study was conducted in the textile industry in Punjab, India. The sample for this study was 259 managers of different textile firms. The data was collected on standardised scales. Partial least squares structural equation modelling was used to examine the direct and indirect effects in this study.

It was found that the indirect effect between RC and environmental behaviour intention was significant through EV. This study confirmed that the mediation between the variables was moderated by environmental awareness.

Based on the tested model, textile organisations can improve their corporate social responsibility practices. This study highlights the importance of encouraging environmental awareness among textile industry employees, especially those with religious convictions, to reduce environmental impacts. It suggests ecological training, education initiatives and implementing eco-friendly policies.

This study provides a model based on social and psychological factors. The findings of this study can be applied in the textile industry to augment environmentally friendly behaviour among managers. The perspective of moderated meditation among the relationships of variables carries a unique value in this study. Furthermore, this study combines social factors like religion with environmental psychology within business settings. In this way, study carries a unique value.

Urban food markets have been receiving increased attention over the last few decades. Their role as cohesion centres of the local community and in the urban regeneration of cities was especially pronounced. Nowadays, these public spaces are also acting as a valuable tourist resource as well, attracting tourists to experience both the tangible and intangible heritage of the destination. Exposed to considerable tourism pressure, urban food markets in one of the most recognised destinations in global scale (such as Barcelona) have undergone through different phases in their development, going from traditional, sustainable, and eventually touristified urban food markets. For the purposes of this book chapter, proposed types of urban food markets in Barcelona are depicted based on the common urban food market tourist drivers and effects of the (gastro)gentrification process.