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The best workplaces have been left out from the literature of social sustainability. These companies may cause a significant impact on society given their excellent human resources practices and the employer brand reputation derived from them. This study aims to fill this gap by analysing the social sustainability for the best organisations to work for in Spain.

Using data from an annual ranking for the best workplaces in Spain during 2013–2021, it is proposed to analyse critical social sustainability indicators, comparing organisations within and outside the ranking. Therefore, the authors ask whether companies from the ranking have greater female presence in CEO positions, generate more employment, pay higher salaries and contribute more to the public sector. Methodology comprehends descriptive, exploratory and inference techniques.

Although companies within the ranking achieve a higher score on it when the CEO is female, it does not translate into a greater female CEO presence with respect to companies outside the ranking. On the other hand, best workplaces achieve higher employment rates and pay higher salaries, almost all the time. Also, these excellent companies to work for generate more contributions to the public sector.

This research covers the relation between best human resources practices and social sustainability development, because the former is a great opportunity for pursuing the innovative and long-term policies necessary for the latter. Therefore, findings are valuable for managers and policymakers.

This paper aims at developing a multi-objective mathematical model of circular economy that integrates key concept of leasing as a strategy in addition to reuse, refurbishing, primary recycling, secondary recycling and disposal.

This paper proposes multi-objective fuzzy mixed integer linear programming mathematical model considering multi-product, multi-echelon and multi-capacitated concepts of the circular economy. The three objectives of the proposed model, namely, economic, environmental and social are solved simultaneously using constraint approach to obtain balanced trade-off between the objective functions. The model is validated by solving a case study from the literature. The proposed model is made pragmatic for industrial application by considering multi-external suppliers multi-customer zones, multi-disassembly centers, multi-collection centers and multi-refurbishing centers and accounting for purchasing, processing, transportation, set-up costs and capacity constraints at the same time.

The results show that the leasing of the products improves the economic function in addition to the known environmental improvements. The proposed model also shows that the circular economy can generate the jobs for the unskilled people at different locations.

The proposed model can be further improved by considering the non-linearity due to economy of scale at various centers and in transportation. The model can be further extended to make it multi-period model.

The proposed model of circular economy can be used by the organizations as a policy tool to decide the optimum number of collection centers, disassembly centers, refurbishing centers, recycling centers and disposal centers and their optimum locations and allocations. The organizations can also trade-off among economic, environmental and social benefits of their proposed decisions in circular economy.

The originality of the proposed mathematical model is consideration of leasing as a strategy to have better control over the supply chain for circularity; considering the training of unskilled people for backward supply chain jobs and accounting for primary recycling and secondary recycling separately for economical computation.

The study investigates the influence of ChatGPT on the labor market dynamics, aiming to provide a structured understanding of the changes induced by generative AI technologies.

An analysis of existing literature serves as the foundation for understanding the impact, while the supply and demand model helps assess the effects of ChatGPT. A text-mining approach is utilized to analyze the International Standard Occupation Classification, identifying occupations most susceptible to disruption by ChatGPT.

The study reveals that 32.8% of occupations could be fully impacted by ChatGPT, while 36.5% might experience a partial impact and 30.7% are likely to remain unaffected.

While this study offers insights into the potential influence of ChatGPT and other generative AI services on the labor market, it is essential to note that these findings represent potential implications rather than realized labor market effects. Further research is needed to track actual changes in employment patterns and job market dynamics where these AI services are widely adopted.

This paper contributes to the field by systematically categorizing the level of impact on different occupations, providing a nuanced perspective on the short- and long-term implications of ChatGPT and similar generative AI services on the labor market.

The purpose of this paper is to define the local integration rate and how it is calculated to assess its relevance as a national performance indicator for the Moroccan automotive industry.

The research methodology first followed a systematic review approach through the analysis of published research articles and academic works. This study then followed a qualitative approach based on semi-structured interviews with various actors in the Moroccan automotive industry. Finally, the findings of this work were reinforced by a case study to analyze the supply chain of a locally produced vehicle.

The results indicate that the local integration rate as calculated today overestimates the performance of the automotive industry and does not systematically guarantee a significant creation of value added.

Due to the confidentiality of the data in terms of turnover, payroll and purchase prices as well as the large number of suppliers in the different supply chains of the car manufacturer, the case study focused on only one of the six existing ecosystems.

On the basis of research work on the Moroccan automotive industry as well as interviews with various actors, the local integration rate is unanimously considered as a viable performance indicator. This study has not only led us to the method of calculating this rate by the Ministry of Industry but also demonstrated its limitations while proposing a new method of calculation to increase the value added.

In the wake of the COVID-19 pandemic organisations are adapting to a new environment of global talent shortages, economic uncertainty and geo-political turmoil. As an outcome, the organisational strategies of digital transformation and remote working have been accelerated in the race to boost innovation, competitivity and attract staff. This has led to the rise of two new organisational dynamics: the increase of virtual teams (VTs) and focus on widespread work automation. However, despite the rise of these two related phenomena, literature does not connect them as one research area, and there is a gap in the understanding of the new employee wellbeing needs they form and how to respond to them. This paper aims to bridge this gap through a systematic literature across these areas.

This paper conducts a systematic literature review across the areas of leadership, VTs and automation over the past three years.

In this review, a number of newly arising employee wellbeing needs are identified such as fear of job displacement, a lack of self-efficacy and social cohesion, poor relationships with leaders and more. In addition, this paper recommends three fundamental research gaps to be addressed by future studies: 1. How to build and cultivate the new leadership skills needed to support VTs and workplace automation? 2. How to design work in a way that caters for employee wellbeing needs when operating in VTs or hybrid teams and working on or with workplace automation? 3. How to design work in a way that builds and emphasises the new employee skillsets to support augmentation and solves for the new employee wellbeing needs experienced by workplace automation?

This paper provides a novel contribution to literature by centralising current schools of thought across the cross-disciplinary themes and synthesising literature to recommend new wellbeing and leadership skills for organisations to focus on, alongside producing a new research agenda for scholars to focus.

The purpose of this paper is to study triadic market relations between an international aid agency (IAA), local ventures and the poor communities where they are embedded in order to shift the poverty alleviation discussion to account for the perceptions held by each category of actor, especially those of poor communities. Poverty alleviation is a key commitment of the United Nations, and market-driven approaches are increasingly advocated as a means to reduce poverty, particularly among IAAs. One such strategy is to connect ventures in poor communities with international markets. However, research shows that such approaches have mixed success.

The authors conducted a comparative case study of three ventures embedded in urban and rural poor communities receiving support from an IAA. The authors then analyzed the data to determine the mechanisms that led to discrepancies in the perceptions of poverty alleviation held by each actor involved.

This study suggests three such mechanisms: ‘decoupling markets from poverty’, wherein aiding ventures may paradoxically lead to decoupling them from poor communities; ‘overburden stress’, in which ventures cannot fulfil a poverty alleviation role through their market activities because the expectation to do so overburdens the venture; and ‘value divergence’, in which the actors involved evaluate the impact of these approaches differently.

The authors propose that a key aspect of enabling effective poverty alleviation through market-driven approaches in terms of substantial, long-term contributions is to monitor and support the relations between the actors involved – including the poor communities themselves – and explore how each perceives the efficacy of the approach.

El objetivo de nuestro estudio es integrar las percepciones de tres actores: los organismos internacionales, los emprendimientos en comunidades pobres y las propias comunidades pobres, con el fin de cambiar la discusión sobre la reducción de la pobreza hacia las percepciones de los diferentes actores involucrados en las relaciones de mercado, en particular las de las comunidades pobres. La reducción de la pobreza es un compromiso clave de las Naciones Unidas, y en la actualidad se promueven enfoques de mercado como un medio para reducir la pobreza, especialmente entre los organismos internacionales. Una estrategia consiste en conectar emprendimientos en comunidades pobres con mercados internacionales. Sin embargo, investigaciones previas muestran que estos enfoques de mercado tienen un éxito variado en ciertas ocasiones y en otras no.

Realizamos un estudio de casos comparativo de tres emprendimientos en comunidades pobres urbanas y rurales que reciben apoyo de un organismo internacional. Luego, analizamos nuestros datos para determinar qué mecanismos condujeron a discrepancias en las percepciones de cada actor involucrado con respecto a la reducción de la pobreza.

Nuestro estudio identifica tres mecanismos que explican las discrepancias en las percepciones de los actores involucrados con respecto a los enfoques de mercado para la reducción de la pobreza: ‘desvinculación de los mercados de la pobreza’, en donde el apoyo a los emprendimientos puede llevar paradójicamente a separarlos de las comunidades pobres; ‘estrés de sobrecarga’ que captura situaciones en las que los emprendimientos no pueden cumplir su función de reducción de la pobreza a través de sus actividades en el mercado debido a que la expectativa de hacerlo, aunque implícita, sobrecarga al emprendimiento; y ‘divergencia de valores’ que muestra que los actores involucrados a menudo evalúan de manera diferente el impacto de los enfoques de mercado en la pobreza.

Proponemos que un aspecto clave de la reducción efectiva de la pobreza a través de enfoques de mercado que hagan contribuciones sustanciales y a largo plazo es monitorear las relaciones y la eficacia percibida entre todos los actores involucrados en estos enfoques, incluyendo a las propias comunidades pobres.

El objetivo de nosso estudo é integrar as percepções de três atores: os organismos internacionais, os empreendimentos em comunidades pobres e as próprias comunidades pobres, com o objetivo de mudar a discussão sobre a redução da pobreza para as percepções dos diferentes atores envolvidos nas relações de mercado, particularmente as das comunidades pobres. A redução da pobreza é um compromisso chave das nações unidas, e atualmente abordagens de mercado são promovidas como um meio para reduzir a pobreza, especialmente entre os organismos internacionais. Uma estratégia consiste em conectar empreendimentos em comunidades pobres com mercados internacionais. No entanto, pesquisas anteriores mostram que essas abordagens de mercado têm sucesso variado em algumas ocasiões e em outras não.

Realizamos um estudo de casos comparativo de três empreendimentos em comunidades pobres urbanas e rurais que recebem apoio de um organismo internacional. Em seguida, analisamos nossos dados para determinar quais mecanismos levaram a discrepâncias nas percepções de cada ator envolvido em relação à redução da pobreza.

Nosso estudo identifica três mecanismos que explicam as discrepâncias nas percepções dos atores envolvidos em relação às abordagens de mercado para a redução da pobreza: ‘desvinculação dos mercados da pobreza’, onde o apoio aos empreendimentos pode paradoxalmente separá-los das comunidades pobres; ‘estresse de sobrecarga’ que captura situações em que os empreendimentos não podem cumprir sua função de redução da pobreza por meio de suas atividades no mercado devido à expectativa de fazê-lo, mesmo que implicitamente, sobrecarregando o empreendimento; e ‘divergência de valores’ que mostra que os atores envolvidos frequentemente avaliam de maneira diferente o impacto das abordagens de mercado na pobreza.

Propomos que um aspecto-chave da redução efetiva da pobreza por meio de abordagens de mercado que façam contribuições substanciais e a longo prazo é monitorar as relações e a eficácia percebida entre todos os atores envolvidos nessas abordagens, incluindo as próprias comunidades pobres.

The accelerating business transformation through Industry 4.0 (I4.0) is expected to create significant value in the manufacturing industry by delivering considerably high productivity, superior quality, better efficiency and effectiveness. However, its evolutionary processes have far-reaching challenging for humanity. This has triggered a need to analyze the impact of I4.0 on various people-centric variables (PCVs).

This paper attempts to analyze the interrelationship dynamics between the PCVs in the current digital-industry ecosystem using a focus-group approach and causal loop diagrams. Application of the SWARA (stepwise weight assessment ratio analysis) methodology has provided its prioritized ranking in terms of importance.

The study has highlighted that I4.0 has a significant influence on five of the 13 PCVs – human quality of life, digital dexterity, high-skilled talent, low-skilled employment and creativity which contribute to 80% of the total impact.

The prioritized weights of the human factors from the SWARA approach have facilitated the assessment of the Human Resource Development Index (HRDI). The study is also contributing in enriching the literature on the human impact of the growing I4.0 and triggered the researchers to study further its adverse impact on critical human factors.

1. The paper pertains to debates on a very critical issue of impact of integration of the current intelligent digital technologies in manufacturing and services to transform businesses to be more flexible and agile.

2. This paper features I4.0 as a technology that allows integration of new products in the existing production lines, one-off manufacturing runs and high mix manufacturing.

3. The paper also highlights major adjustments in operational activities, processes, supply chain, and organizational redesign due to I4.0 adoption.

4. The current research study has significantly enriched the literature on the I4.0 impact on people-centric variables (PCVs) using the SWARA method. The use of the Causal Loop Diagram has very aptly brought out the type of causality (polarity) between the different PCVs in the growth of I4.0.

The paper pertains to debates on a very critical issue of impact of integration of the current intelligent digital technologies in manufacturing and services to transform businesses to be more flexible and agile.

This paper features I4.0 as a technology that allows integration of new products in the existing production lines, one-off manufacturing runs and high mix manufacturing.

The paper also highlights major adjustments in operational activities, processes, supply chain, and organizational redesign due to I4.0 adoption.

The current research study has significantly enriched the literature on the I4.0 impact on people-centric variables (PCVs) using the SWARA method. The use of the Causal Loop Diagram has very aptly brought out the type of causality (polarity) between the different PCVs in the growth of I4.0.

Using the theoretical framework of the substantive economy, this study aims to point out the main aspects of the substantive mode of operation that help the integration of disadvantaged people while at the same time shedding light on the barriers that hinder economically efficient functioning in a market economy.

Research focuses on Hungarian rural work integration social cooperatives, which are engaged in producing activity by the employment of disadvantaged people. In the research, mixed methods were applied: results of a questionnaire survey covering 102 cooperatives, as well as 20 semi-structured interviews and experiences from the field. A total of 17 indicators were used to explore the substantive operational features, promoting mechanisms and problems in the following areas: organisational goals and outcomes; integrating roles and functions; productive functions; and the embeddedness of cooperatives.

As for results, substantive operational mechanisms and tools that support the integration of disadvantaged people have been identified such as mentoring, social incentives, the ability to create local value or the expansion of local community services. At the same time, several barriers have been detected that make it difficult to operate economically, such as cooperatives being a stepping stone for workers, excessive product heterogeneity or the lack of vertically structured bridging relationships.

The value of the study is to counterpoint the mechanisms promoting social purposes of work-integration social cooperatives and the obstacles to their long-term sustainability within the framework of the substantive economy, to better understand their functioning and the less quantifiable factors of their performance.

This study aims to examine the effect of foreign direct investment (FDI) inflows on tax revenue in 34 developed and developing countries from 2006 to 2020.

Feasible generalised least squares (FGLS), a dynamic panel of a two-step system generalised method of moments (GMM) system and a pool mean group (PMG) panel autoregressive distributed lag (ARDL) approach were used to compare the developed and developing countries. Basic estimators were used as pre-estimators and diagnostic tests were used to increase robustness.

The FGLS, a two-step system of GMM, PMG–ARDL estimator’s results showed that there was a significant negative long and positive short-term in most countries relationship between FDI inflows and tax revenue in developed countries. This study concluded that attracting investments can improve the quality of institutions despite high tax rates, leading to low tax revenue. Meanwhile, there was a significant positive long and negative short-term relationship between FDI inflows and tax revenue in the developing countries. The developing countries sought to attract FDI that could be used to create job opportunities and transfer technology to simultaneously develop infrastructure and impose a tax policy that would achieve high tax revenue.

The present study sheds light on the effect of FDI on tax revenue and compares developed and developing countries through the design and implementation of policies to create jobs, transfer technology and attain economic growth in order to assure foreign investors that they would gain continuous high profits from their investments.

Mega-infrastructure development plans pave the way for policies to upgrade the infrastructure, environmental management and different aspects of locals’ well-being. These developmental dynamics can positively affect rural tourism including heritage sites destinations. The quality of life of local people can be linked to this positive developmental change through long-term and sustainable economic revitalization projects. In terms of this process, developing large-scale infrastructure and incorporating tourism sustainability can improve the quality of life-related to different dimensions that are critical to the community's well-being. Therefore, researchers have attempted to address this issue.

Data were collected between September and October 2020. The study sample size was the residents of Zhabagly village, including Zhabagaly, Abaiyl and 115 Railway settlements. Moreover, the residents were older than 18 years. A systematic random sampling technique was utilised to reach the targeted sample size and the researchers received 243 responses from the locals. Structural equation modelling (SEM) was used for analysis.

The findings from the structural equation modelling suggest that sustainable tourism increases due to the positive effect of mega-infrastructure development and positively impacts the locals' quality of life. Notably, no direct effect of mega-infrastructure development on quality of life reveals the pivotal role of sustainable tourism. Therefore, during the COVID-19 period, the dimensions of sustainable tourism – economic, market, socio-cultural and environmental – played a role in securing the positive impact of mega-infrastructure development on the locals’ quality of life.

This research highlighted the fact that when infrastructure projects are implemented to their full potential, they will generate sustainable tourism activities, provide eco-adventure activities, relax, treat signatories and boost the economy of all stakeholders. The study used AMOS to test the hypotheses. Qualitative research methods, including interviews with citizens, government officials and tourism managers, require further study.

The infrastructural development on a mega-scale means building an upscaling tourism ecosystem. This ecosystem is marked by the availability of drinking water, waste and energy management facilities that support the elevation of living material, community, health, safety and emotional well-being. It reflects the policy-level implications for future Belt and Road initiatives (BRIs). The tourism industry's resilience during COVID-19 has practical lessons for other industries.

Large-scale infrastructure construction must create favourable conditions for the rapid development of tourism. The availability of clean water, waste and energy management facilities contributes to the food production, social cohesion, physical and mental health and general well-being of the ecosystem. This is one of the few studies that used sustainable tourism as a mediator between the impact of large infrastructure projects and their impact on the quality of life of locals during the COVID-19 pandemic. Aksu-Zhabagly, a World Heritage Site in Kazakhstan, was the site of this field study.