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The purpose of this paper is to present the factors associated with the employee barriers while implementing lean manufacturing within the small- and medium-scale enterprises (SMEs).

The structural equation modelling approach is employed to develop the initial model drawing a sample survey of 133 small and medium enterprises. The result of the study shows that the lack of well-trained and experienced staff, lack of knowledge about existing specialist, cultural resistance to change are acting as the employee barriers while implementing lean manufacturing in SMEs. Then, a further study has been conducted to develop the employee barrier model with these three factors and its contributing variables using specification search representing the sample of 117 small and medium enterprises using the following fit function criteria: Chi-square (C), Chi-square-df (C-df), Akaike information criteria, Browne-Cudeck criterion, Bayes information criterion, Chi-square divided by the degrees of freedom (C/df) and significance level (p).

The lack of well-trained and experienced staff, lack of knowledge about existing specialist, and cultural resistance to change with 19 associated elements were considered in the questionnaire. Specification search was carried out to build up the model on the collected data from 117 SMEs. The results of the specification search identified that these three factors with 15 key variables are significant to employee barrier while implementing lean manufacturing in SMEs.

The limitation of the study was that the sample size of the study was relatively small for further research, large sample size more than 117 are to be expected.

The present study has explored an unfocused area of lean implementation in small and medium enterprises. The results obtained from the study are expected to help researchers, academics, and professionals for the further studies in the domain of lean manufacturing.

To implement and understand the lean manufacturing system, government of the many countries around the world are helping and encouraging by providing financial assistance for training professionals and establishing professional associations. However, many industries are not successful in lean implementation. This research work provides to develop a strategy to tackle employee barriers for successful lean implementation.

Very little research has been carried out exploring employee barriers while implementing lean manufacturing in SMEs. This paper will provide value to academics, researchers and practitioners of lean by way of providing insight into significant employee barriers for lean implementation, especially in Indian industries.

The continual onset of natural and manmade disasters propels the humanitarian supply chain (HSC) efforts (by organizations, groups and individuals) to always be on a stand-by mode with more and more sustainable solutions. Despite all the sincere and coordinated efforts from all the humanitarian agents and bodies, the likely sustainable outputs are hampered by certain barriers (impediments) which exist at different levels of the HSCs. A better understanding of such barriers and their mutual relationship is deemed helpful in improving the outcomes of humanitarian efforts. Thus, the purpose of this paper is to explore, refine, establish and classify these barriers which thwart the sustainable efforts of the HSCs individually as well as collectively.

An extensive literature review is conducted to identify these barriers which were followed by soliciting the experts’ inputs to update, refine and retain the contextually relevant ones. The opinions about the nine identified and refined barriers are taken from eight experts based in the Northern India who are having at least five years of experience in humanitarian operations. Fuzzy interpretive structural modeling (FISM) is used to examine and establish a hierarchical relationship among these barriers, whereas fuzzy Matrice d’impacts croisés multiplication appliquée á un classment analysis is carried out to further classify these barriers into dependent, autonomous, linkage and dependent barriers.

The analysis led to the formation of a FISM model where the operational challenges affecting the performance occupy the topmost position in the hierarchy. The results reveal that inconsistent motives, coordination and communication and operational challenges affecting the performance are the dependent, poor strategic planning, capacity-related challenges and poor performance measurement system are the autonomous, and financial challenges, locational challenges and lack of proper awareness are the independent barriers.

The focus of the researchers was to study and examine these barriers to sustainable HSCs with special reference to the epidemics and pandemics (especially COVID-19), and it sheds light particularly arising during and post disaster phases.

The structural model contributed by this study is expected to be meaningful for practitioners besides enriching the body of literature. In the context of pandemics, it distinguishes itself from the other available frameworks.

As this research has been carried out in the context of the novel COVID-19, the framework is expected to assist policymakers in comprehending the issues impeding the sustainability of noble humanitarian efforts. Thus, ultimately it is expected to contribute to the ultimate cause of society at large.

This research endeavor distinguishes itself from the other accessible published resources in terms of the specific context, the methodological approach and the nature of respondents. This paper concludes with the practical implications and directions for future research.

The purpose of this paper is to identify the main environmental impacts of coal mining in China, examine the main institutions and reform factors that failed the control of these damages, and discuss what would be necessary to establish a sustainable and environmentally responsible coal mining sector in the context of market and institutional reforms.

Review of existing knowledge, and semi‐structured interviewing with key informants in the policy and industry sectors has been the main method of primary and secondary data collection. Grounded theory was used to analyze original data.

The large and fast growing coal industry in China has caused significant environmental degradation, including land subsidence and water intrusion, as well as remarkable records of miner's poor safety and health. Market reform was mostly unsuccessful in integrating environmental consideration into production and marketing decisions. Main factors of reform that have been associated with this problem are price deregulation and excessive competition inside the industry. Institutional reform, in fact, enhanced the status of State Environment Protection Agency; however, it impaired environmental governance in the coal industry. It is suggested that market reform as applicable to the China coal industry economic sector in particular should reconsider its approach in light of the numerous problems it has created.

The paper identifies and puts together the condition of the growing coal industry in China after market reform, articulating the huge environmental costs that this development has imposed on the country, while calling for an environmentally sustainable coal industry.

The purpose of this study is to present factors associated with process barriers in implementing lean manufacturing within the small- and medium-sized enterprises (SMEs).

This study was conducted to identify the process barriers in implementing lean manufacturing in SMEs. Moreover, by a thorough and detailed analysis, process barriers of high rejection rate, employee absenteeism and frequent breakdown with 29 associated variables were identified as the most critical process barriers and were used to develop the questionnaire. Structural equation modeling was used to build the measurement model by drawing on samples of 128 SMEs in Kerala, a state in India. Later, the model was validated using statistical estimates. Data analysis helps to determine whether to accept or reject the hypothesis on the basis of the measurement model.

Several process barriers that prevent the successful implementation of lean manufacturing within SMEs are identified. These are lack of a training program, lack of periodical maintenance, low-quality standard materials from suppliers, bad vendor inspection, wear and tear of machines, communication gap between supervisors and workers, non-maintenance of a good employee–employer relationship, boredom on the job, overrunning machines beyond the capability, carelessness in work, not replacing worn damage parts periodically, ignoring warning signals of the machine classified as the most critical process barrier among the high rejection rate, employee absenteeism, frequent breakdown factors.

First, the sample size of the study was relatively small (128). Second, data collection was restricted to one geographical area in India, i.e. Kerala, a state in India, giving rise to operational constraints. Third, the study was cross-sectional; a longitudinal study must be performed to reinforce the findings.

The present study has explored an unfocused area of lean implementation in SMEs. The results are expected to help researchers, academics and professionals in the domain of lean manufacturing.

Governments of many countries around the world are helping and encouraging the implementation and understanding of the lean manufacturing system by providing financial assistance for training professionals and establishing professional associations. However, many industries have not been successful in lean implementation. This research aims to develop a strategy to tackle process barriers for successful lean implementation.

Very little research has been carried out in exploring process barriers in implementing lean manufacturing in SMEs. This paper will provide value to academics, researchers and practitioners of lean by providing insight into significant process barriers for lean implementation, especially in Indian industries.

The purpose of this paper is to evaluate the barriers militating against the adoption of robotics in the construction industry.

Robotics implementation barriers were obtained from the previous studies and then through questionnaire survey construction stakeholders in Nigeria evaluate these barriers. Consequently, these barriers were examined via the exploratory factor analysis (EFA) technique. Furthermore, a model of these barriers was implemented by means of a partial least square structural equation modeling (PLS-SEM).

The EFA results showed that these barriers could be categorized into two: cost and technology. Results obtained from the proposed model showed that platform tools were crucial tools for implementing cloud computing.

The novelty of this research work will be provided a solid foundation for critically assessing and appreciating the different barriers affecting the adoption of robotics.

Real estate is the last major asset class without liquid derivatives markets. The reasons for that are not fully known or understood. Therefore, the purpose of this paper is to better understand the main factors that influence the propensity of commercial real estate investors in the UK to employ property derivatives.

The research methodology that was chosen for this research is grounded theory which, in its original form, goes back to Glaser and Strauss (1967). A total of 43 interviews were conducted with 46 real estate professionals in the UK from property investment management firms (investing directly or indirectly in real estate), multi-asset management firms, real estate investment trusts, banks, and brokerage and advisory firms, among others.

The research results show 29 factors that influence the propensity of direct and indirect real estate investors in the UK to employ property derivatives. Out of the 29 factors, the current research identified 12 factors with high-explanatory power, 6 with a contributing role and 11 with low explanatory power. Moreover, factors previously discussed in the literature are tested and assessed as to their explanatory power. The focus of this paper is on those factors with high-explanatory power. From the research data, three main reasons have been identified as the sources of investor reluctance to trade in property derivatives. The first and main reason is related to a mismatch between motivations of property investment managers and what can be achieved with the instruments. The second reason, which ties in with the first one, is a general misunderstanding as to the right pricing technique of property derivatives. Finally, the third reason is a general lack of hedging demand from the investor base owing to the long investment horizons through market cycles.

The research contributes to the literature on property derivatives in various ways. First, it extends the literature on market hurdles in property derivatives markets by testing and extending the hurdles that were proposed previously. Second, the research shows that the existing pricing models need to be extended in order to account for the risk perception of practitioners and their concerns with regard to liquidity levels.

For both theory and practice, the research has shown some limitations in using property derivatives for purposes such as creating index exposure or hedging. Another contribution, in this case to practice, is that this study provides a clearer picture as to the reasons that keep property investment managers away from using property derivatives.

The research results indicate that liquidity per se is not a universal remedy for the problems in the market. In addition to the need for improving the understanding of the pricing mechanism, practitioners should give more thought to the notion of real estate market risk and the commensurate returns that can reasonably be expected when they take or reduce it. This implies that property index futures currently do not price like those on any other investable asset class.

Agriculture is one sector where the Internet of things (IoT) is expected to make a major impact. Yet, its adoption in the sector falls behind expectations. The purpose of this paper is to present the state-of-the-art of IoT in agriculture and investigate its slow adoption in the sector.

The authors have undertaken a systematic review and a synthesis of 1355 relevant publications over the last decade.

This literature review reveals that the “big three” barriers for the overall sector are cost, skills and standardization. The lack of connectivity and data governance are two key reasons why most of the proposed IoT solutions are standalone systems of limited scope, while the majority of commercial IoT efforts focus on practices in the protected indoor environment. Lastly, the analysis of past research along the five layers of the IoT system architecture reveals limited attention to barriers and solutions at the business layer, which represents a research opportunity for information systems scholars.

It is possible that some of relevant publications were missed in the literature search, although the search queries were kept as broad as possible to avoid the exclusion of any relevant work. Any publication written in any other language other than English was excluded from the review. Given the geographical distribution of the reviewed English publications (see section 4.1), it is highly likely that important works written by Chinese and European scholars in their native language were overlooked.

This study provides practical insights into the technical and organisational challenges on the ground. It is the hope that this literature review lays the groundwork for IS researchers who are well positioned to investigate technology adoption challenges in the relatively understudied agriculture sector.

To the best of the authors’ knowledge, this is the first comprehensive review of adoption barriers and solutions across all five layers of the IoT system architecture.

The purpose of this paper is to present a case study of the research steps taken to identify message directions for a community-wide health communication campaign aimed at supporting healthier eating behaviors among Latino farmworker families in the Immokalee community in Florida. Latino mothers were targeted to understand their beliefs about children’s healthy eating needs and identify communication campaign opportunities that would reinforce choices made in the home, surrounding meal planning, food selection and preparation and portion sizes.

A sequential mixed-methods approach using focus group, group interview and qualitative message concept testing was used in three distinct stages of research exploration. An independent sample was recruited at each stage through convenience sampling and snowball sampling methods. The stages of change theory provided a framework for research inquiry in the context of healthy eating-at-home practices.

In general, mothers were aware and participatory in the effort to serve healthy meals for their children at home. The time and money associated with buying nutritious foods and cooking healthy meals daily was stressful, but they were receptive to communication efforts to help them maintain their commitment to give their children healthy foods. These findings provided directional opportunities for the discovery and implementation of health communication strategies. Test results found that the target was most receptive to message strategies that acknowledged the responsibility of both parents to model healthy eating practices to children.

Recruiting resulted in small sample sizes at each stage of the investigation. The reliability of quantitative measurement was a limitation to the research conclusions.

Partnership with the audience from discovery to conceptualization resulted in messages that uniquely resonated with the audience for which they were aimed. Understanding about the target stage of readiness improves message effectiveness to the target group.

Health communication campaigns planned and developed with the target audience at its center will generate message strategies that effectively address issues of greatest relevance to those communication agents that seek to change.

The study provides a unique exploration of the steps that health communication agents should pursue to establish a thorough profile of their target audience and the issues that resonate when considering healthy eating behavior at home. The application of the stages of the change model encouraged the discovery of issues surrounding the challenge and highlighted potential obstacles that would mitigate the behavior change efforts.

The purpose of this study is to explore the contributing barriers to corporate social and environmental responsibility (CSER) practices. In particular, this study focuses on non-managerial stakeholders’ perceptions of the barriers to CSER practices in a developing country context. The study also investigates the current initiatives undertaken by the different stakeholders, such as government, non-governmental organisations (NGOs) and regulators.

The study takes a qualitative approach, undertaking semi-structured in-depth interviews with 26 participants from NGOs, the media, regulatory authorities, government departments, shareholders, trade union leaders and customers.

The views of stakeholder groups were analysed to identify the contributing barriers to CSER practices. The findings of the study reveal that corruption and politics, lack of coordination, lack of government initiatives and unsatisfactory implementation of laws are perceived as the major barriers that hinder CSER practices in Bangladesh. The study also found a lack of awareness amongst various stakeholder groups regarding the influential role CSER plays in promoting sustainable development. The current initiatives undertaken by various stakeholders to improve CSER practices were limited but growing.

The study utilises the stakeholder theory to examine the role of stakeholders, rather than managers, in relation to CSER practice in Bangladesh. The findings may provide impetus for mitigating CSER barriers in a developing country context.

This study is one of the few engagement-based studies to explore the non-managerial stakeholders’ views on CSER in a developing country context.

The main purpose of this paper is to identify the reasons for the stagnant behaviour of seaports contributing towards Sustainable Development Goals (SDGs).

Global seaport sustainability practices that correspond with SDGs were identified through an extensive literature review. In total, five focus interviews were carried out with port managers in Sri Lanka to identify the existing knowledge about seaport sustainability, and the reasons for disparities between the global standards and country-level port sustainability practices. Data collected from a questionnaire survey of 55 seaport terminal managers in Sri Lanka were analysed using exploratory factor analysis (EFA) and thematic analysis.

Deficient collaborative policies, structural and managerial constraints, market constraints and the absence of a well-established SDG-driven global port framework were identified as significant barriers for seaports to contribute towards SDGs.

Identifying barriers in implementing sustainable practices in ports help the responsible authorities tackle them. Hence, seaports in return and the wider society benefit from the spillover effects of port operations aligning to SDGs.

This paper provides port organizations insights on the barriers needing to be addressed in their operational and management systems to best incorporate practices aligning to SDGs in seaports.