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Substantial pressure from civil society and investors has forced governments around the world to take climate neutrality initiatives. Several countries have pledged their nationally determined contributions towards net-zero. However, there exist various obstacles to achieving the same and the agriculture sector is one of them. Thus, this study identifies and models the critical barriers to achieving climate neutrality in the agriculture food supply chain (AFSC).

Sixteen barriers are identified through a literature survey and are validated by the questionnaire survey. Furthermore, the interactions amongst the barriers are estimated through the application of the “weighted influence non-linear gauge system (WINGS)” method which considers the both intensity of influence and the strength of the barrier. To mitigate these barriers, a framework based on green, resilient and inclusive development (GRID) is proposed.

The obtained results reveal that lack of collaboration amongst AFSC stakeholders, lack of information and education awareness, and lack of technical expertise obtained a higher rank (amongst the top five) in three indicators of the WINGS method and thus are the most significant barriers.

This paper is the first attempt in modelling the climate neutrality barriers for the Indian AFSC. Additionally, the mitigating strategies are prepared using the GRID framework.

The recent pandemic caused by coronavirus disease 2019 (COVID-19) has significantly impacted the operational performances of pharmaceutical supply chains (SCs), especially in emerging economies that are critically vulnerable due to their inadequate resources. Finding the possible barriers that continue to impede the sustainable performance of SCs in the post-COVID-19 era has become essential. This study aims to investigate and analyze the barriers to achieving sustainability in the pharmaceutical SC of an emerging economy in a bid to help decision-makers recognize the most influential barriers.

To achieve the goals, two decision-making tools are integrated to analyze the most critical barriers: interpretive structural modeling (ISM) and the matrix of cross-impact multiplications applied to classification (MICMAC). In contrast to other multi-criteria decision-making (MCDM) approaches, ISM develops a hierarchical decision tool for decision-makers and cluster analysis of the barriers using the MICMAC method based on their driving and dependency powers.

The findings reveal that the major barriers are in a four-level hierarchical relationship where “Insufficient SC strategic plans to ensure agility during crisis” acts as the most critical barrier, followed by “Poor information structure among SC contributors,” and “Inadequate risk management policy under pandemic.” Finally, the MICMAC analysis validates the findings from the ISM approach.

This study provides meaningful insights into barriers to achieving sustainability in pharmaceutical SCs in the post-COVID-19 era. The study can help pharmaceutical SC practitioners to better understand what can go wrong in post-COVID-19, and develop actionable strategies to ensure sustainability and resilience in practitioners' SCs.

The present paper examines the barriers hindering the implementation of circular economy practices in Indian automotive industries and identifies the most critical barriers to be eradicated during the circular economy implementation.

Using a questionnaire survey-based analytic hierarchy process (AHP) approach, 21 barriers to circular economy implementation are identified through a literature review and ranked using the opinions of relevant industrial experts.

Barriers, minimal or no proper economic incentives, difficulty in ensuring product quality and costing of CE products are identified as top barriers to be eliminated first to boost the chances of successful implementation of circular economy practices in Indian automotive industries.

The study not only offers a roadmap on the order of elimination of barriers towards a circular economy but also provides insights from industrial experts on how these barriers can be eradicated and the ill effects of each barrier from an automotive industry perspective.

The authors develop a theoretical framework for barrier analysis for circular economy implementation in the Indian automotive sector using the classic AHP approach to identify the most critical barriers against successful implementation. Further, this study offers managerial implications on how these barriers can be eradicated in real.

Studies on the work integration of persons with disabilities (PwD) and the role of social dialogue therein are scarce. The study examines how the different systems of workers’ representation and industrial relations in Slovakia and Norway facilitate PwD work integration. Taking a social ecosystem perspective, we acknowledge the role of various stakeholders and their interactions in supporting PwD work integration. The paper’s conceptual contribution lies in including social dialogue actors in this ecosystem.

Evidence was collected via desk research, 35 semi-structured in-depth interviews with 51 respondents and stakeholder workshops in 2019–2020.

The findings from Norway confirm the expected coordination of unions and employers in PwD work integration. Evidence from Slovakia shows that in decentralised industrial relations systems, institutional constraints beyond the workplace determine employers’ and worker representatives’ approaches in PwD integration. Most policy-level outcomes are contested, as integration occurs predominantly via sheltered workplaces without interest representation.

This paper identifies the primary sources of variation in the work integration of PwD. It also highlights opportunities for social partners across both situations to exercise agency and engagement to improve PwD work integration.

By integrating two streams of literature – social policy and welfare state and industrial relations – this paper examines PwD work integration from a social ecosystem perspective. Empirically, it offers novel qualitative comparative evidence on trade unions’ and employers’ roles in Slovakia and Norway.

As an emerging technology, Radio Frequency IDentification (RFID) and blockchain have the potential to disrupt many areas of business and social structure. However, it is loaded with significant technical, social, legal, financial and ethical complications that bring difficulty in its widespread use within the public distribution system (PDS). This research aims to analyze the barriers to integrated RFID and blockchain adoption in developing countries' PDS. Furthermore, this study also aims to validate the proposed framework against the Indian PDS.

The proposed framework consists of 10 potential barriers to integrated RFID and blockchain adoption. To identify the barriers, this study referred to the extant literature followed by consultations with domain experts. This study prepared the DEMATEL-based questionnaires, collected the data from four domain experts and analyzed them using an integrated Grey-DEMATEL approach.

The obtained results provide a precise list of barriers and the correlations among them. From the results, it is concluded that the unavailability of a skilled workforce at affordable cost, lack of knowledge about privacy level and unclear return on investment and benefits are the most critical blockchain adoption barriers in the context of Indian PDS.

This research proposes a framework consisting of 10 integrated RFID and blockchain adoption barriers in relation to Indian PDS. It also proposes a method for analyzing causal interrelationships between the barriers while allowing for data input from domain experts. Consequently, the framework is capable of coping with experts' biases and data scarcity.

Effective use of data is critically important for the provision of health services. A large proportion of employees in health organisations work in non-clinical roles and play a major part in organisational information flows. However, their practice, data-related capabilities and learning needs have been rarely studied. The purpose of this paper is to investigate issues of capabilities and learning needs related to employees' interactions with data in non-clinical work roles.

The study used a mixed-method approach. Qualitative methods were used to explore issues, and survey was administered to gather additional data.

Data use and related capabilities at the workplace are highly contextual. A range of general, core and data-specific capabilities, underpinned by transferable skills and personal traits, enable successful interactions with data. Continuous learning is needed in most areas related to data use.

The study was conducted in a large public-health organisation in Australia, which is not representative of unique organisations elsewhere. The study has implications for the provision of health services, workplace learning and education.

Findings have implications for organisational decisions related to data-use and workplace learning, and for formal education and lifelong learning.

The study contributes to closing a research gap in understanding interactions with data, capabilities and learning needs of employees in non-clinical work roles. Capabilities continuum presented in this paper can be used to inform education, training and service provision. The workplace-based results contribute to theoretical considerations of capabilities required for work in technology-rich environments.

The International Labour Organization (ILO) has emphasized advancing decent employment in global supply chains. Supply chains (SC) are responsible for the growth of any economy and are positively correlated with job creation. However, studies show that decent working conditions are becoming a major concern. Hence, this study is a modest attempt to examine the shortcomings that result in a lack of decent working conditions in global SCs' and further discuss what kind of guidelines, programs, policies, initiatives or principles are necessary to stimulate decent jobs and/or make it easier to enhance decent working conditions in SC.

The present paper first applied the systematic literature review and second used the TCM (Theory-Context-Methods), which is a framework-based review, further reporting the analysis of 59 journal research articles/papers listed in the Scopus database.

The most commonly used theories in the selected studies are institutional theory. As per these theories, governance, rules and regulations play a crucial role in stopping forced labour, child labour practices and social injustice among workers. The findings of this study comply with SDG eight, which states the significance of decent working conditions. Further, the topic modeling reveals four themes: (1) Nature of working conditions (2) Corporate legitimacy (3) Corporate governance mechanisms and (4) Corporate social responsibility, sustainability and ethics in firms. Lastly, we proposed a research framework that shows all the leading factors that influence working conditions in the supply chain.

Managers must focus on integrating decent working conditions in SC activities in their respective organizations and factories. Managers must realize and shoulder this responsibility with other top officials in the organization that improving the SC working conditions is the need of the hour. Consultation with Sustainable Development Goal (SDG) five (gender equality) (emphasize gender equality); and SDG eight (decent work and economic growth) (promote sustainable economic growth) is also recommended for managers. Lastly, managers need to develop suitable strategies keeping in mind the interplay between the leading factors (such as top management support, organizational culture, SA 8000 certification, occupational health and safety, stop forced labour and child labour practices, ethics training, enforce modern slavery act, global compliance regimes, buyer-supplier joint auditing, social responsible sourcing, stoppage of unauthorized sub-contracting, maintain SC transparency and CSR disclosure).

Using systematic literature review and TCM approach has provided some good takeaway points for managers. The study provides a valuable framework and fourteen research propositions which can be tested in the future.

The COVID-19 pandemic caused major disruption in community support for vulnerable older people and is thought to have exacerbated existing issues within UK adult social care. This study aims to examine the legacy of that disruption on how meeting centres for people affected by dementia have been impacted in continually evolving circumstances.

Semi-structured interviews and focus group discussions were conducted at three meeting centre case study sites. Ninety-eight participants, including people living with dementia, family carers, staff, volunteers, trustees and external partners, were asked about the impact and legacy of the pandemic upon meeting centres. A thematic analysis was carried out on the data.

Ten themes were identified: ability to re-open venues; increased health decline and loss of members due to isolation; closure or halting of linking services and dementia community support; disruption to diagnosis and referrals; increase in outreach, building communities and overall reach; digital access and use of technology (boom and decline); changes to carer involvement and engagement; continued uncertainty and changes to funding, resources and governance; staff and volunteer recruitment issues; and relief at/wish for return to pre-pandemic norms.

This paper offers new insight into a still-developing situation, namely, the legacy effects of the pandemic upon third-sector community support for people affected by dementia and the health and social care services that support it. The reduction in maintenance of pandemic-era technological innovations is a key finding.

The current study seeks to investigate and determine the principal barriers to the adoption of work–life balance (WLB) practices amongst construction companies operating in the developing countries using Lagos, Nigeria as a case study.

This study adopts a survey research technique. Snowball sampling technique was adopted to identify the target respondents for the administration of questionnaire. A total of 156 questionnaires were distributed and a response rate of 66% (103 questionnaires were completely filled and returned) was attained. Data elicited were analysed using descriptive and inferential statistics.

The results from the exploratory factors analysis show that the principal barriers to the adoption of WLB practices amongst construction companies in Lagos, Nigeria are categorised into four components: nature of construction job and limited evidence on impact of WLB, support, awareness and culture, lack of involvement of management staff and organisational factors.

This study contributed to more effective WLB studies by highlighting the barriers to the adoption of WLB practices in the construction sector. An understanding of these barriers can aid policy makers and management personnel in construction organisations as well as facilitate development of strategies required to reduce the barriers to WLB practices in the construction sector.

Digital supply chains require nascent technologies like blockchain and Internet of Things (IoT). There is a need to develop a roadmap for the implementation of these technologies, as they require a huge amount of resources and infrastructure. The purpose of this paper is to analyze the challenges of implementing blockchain-IoT integrated architecture in the green supply chain and develop strategies for the same.

After a thorough literature survey of Scopus-indexed journals and books, 37 barriers were identified, which were then brought down to 15 barriers after confirming with industry and academic experts using the Delphi method. Using the total interpretive structural modeling (TISM) method and cross-impact matrix multiplication applied to classification (MICMAC) analysis, the barriers were modeled, and finally, strategies were formulated using a concept map to handle the barriers in the blockchain-IoT integrated architecture for a green supply chain.

This paper presents the research on barriers that can be considered for incorporating blockchain and IoT in the green supply chain. It was found from the TISM model that environmental concerns are Level-1 barriers and need to be addressed by developing appropriate technology and allocating funds for the same. An integrated ecosystem with blockchain and IoT is developed.

The focus of this study was on the challenges of blockchain and IoT; hence, it is required to extend the research and find challenges for different industries and also analyze the criteria using other multi-criteria decision-making (MCDM) methods. Further research is required for the integration of blockchain-IoT with supply chain functions.

The transformation of a traditional supply chain into a green supply chain is possible with the integration of technologies. This research work and the strategies developed are useful to managers and practitioners working on technology implementation. Planning resources and addressing key barriers is possible with the concept maps and architecture developed.

Green supply chain management (SCM) is gaining importance in industry as well as the academic sector due to government Policies and norms worldwide for reducing emissions and encouraging environment-friendly production systems. Incorporating blockchain and IoT in a green supply chain will further digitize and increase transparency in supply chains.

We have done a categorization of all barriers based on the expert survey by academicians and industry experts from industries in India. The concept map helps in identifying possible solutions for the challenges and initiatives to be taken for the smooth integration of technologies in the green supply chain.