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Circular economy has emerged as one of the most important approaches to addressing environmental challenges. Organizations have begun to act on their abilities to enhance their sustainability management to enable a circular economy. The role of organizational learning and green human resource management in the transition to a more circular economy remains unknown. The purpose of this study is to identify and analyze the inter-relationship between the factors of organizational learning and green human resource management, and it aims to rank the identified factors of manufacturing small and medium businesses (SMEs) based on their driving and dependency power and to detect the most substantial factors.

This study identified 11 organizational learning and green human resource management (GHRM) factors after conducting a thorough literature analysis and consulting with experts. To investigate the interaction of the indicated factors and to build their structural hierarchy, this study used the total interpretive structural modeling method. Further, Matriced Impact Croises Multiplication Applique (MICMAC) analysis was used to establish each factor’s driving and dependent power.

This study discovered that factors “Green separation” and “Organizational learning culture” were found to be significant; “Green performance management” and “Green health and safety management” were observed to be extremely reliant on the remaining GHRM factors.

The recommended framework has been established in the Indian background and is restricted to manufacturing SMEs. Still, the same framework can be applied to other sectors by slightly modifying it. Also, the analysis is based on the experts’ view and this may be biased. The findings of this study will help human resources managers and SME owner-managers clarify the most and least significant factors of organizational learning and GHRM and their relationships, leading to increased awareness of organizational learning and GHRM practices for enlightened environmental performance.

The proposed framework might facilitate decision-makers and practitioners to comprehend the relations between organizational learning and GHRM factors. This will support SME owner-managers in understanding the influence of one factor on another factor in manufacturing SMEs.

Until now, the protruding interest of researchers has been focused mostly on large manufacturing enterprises. However, manufacturing SMEs, which are much smaller when compared to large manufacturing companies, significantly contribute to the economy as well as environmental pollution. Thus, this study provides a vital contribution to the current literature by determining the suitable relationship between the organizational learning and GHRM components, as no previous studies focused on exploring the same using the total interpretive structural modeling approach in the Indian manufacturing SMEs environment.

The goal of this research is to create a conceptual model that identifies the relationship between organizational learning and green human resource management practices and its contribution to the circular economy. The focus of this research is to identify the organizational learning and green human resource factors that lead to a more circular economic transformation.

The importance of the interaction of factors benefiting both individuals and organizations has been comprehensively explained by combining two well-known theories: resource-based view theory and organizational learning theory. As learning entails change, a climate of organizational learning combined with green human resource practices will efficiently help firms transition to a circular economy. The authors establish a conceptual model in this study, which they then apply to the small- and medium-sized manufacturing industry and report on in the second paper.

This study concentrates on the factors of organizational learning and green human resource management practices that help to create a circular economy after conducting a thorough literature analysis and consulting with experts.

The conceptual model can be applied to organizations in any industry. In the second part, the authors would investigate the interaction of the indicated factors and build their structural hierarchy using the total interpretive structural modelling method for the small- and medium-sized industries and then present the findings.

The proposed framework might facilitate decision-makers, practitioners and academicians to comprehend the relationship between organizational learning and green human resource management factors and their influence on organizations’ transition into a circular economy. The study’s findings will help HR managers clarify the significant organizational learning and green human resource management factors that play a vital role in transitioning organizations into a circular economy.

This research adds to our understanding of the intricate interactions between organizational learning and green human resource management as they relate to the circular economy. To the best of the authors’ knowledge, the conceptual model illustrating the inter-relationship between organizational learning and green human resource management is the first of its type, and it is a novel notion because no previous research has looked into it.

This study aims to investigate the implementation of lean human resource management (HRM) practices in manufacturing small- and medium-sized enterprises (SMEs) and explore how various factors interact to influence their successful adoption. By exploring the interplay among these factors, the research seeks to identify key drivers affecting the adoption of lean HRM in manufacturing SMEs. Ultimately, the research intends to provide insights that can guide organisations, practitioners and policymakers in effectively implementing lean HRM practices to enhance operational efficiency, workforce engagement and competitiveness within the manufacturing SME sector.

The study combined total interpretive structural modelling (TISM) and Matrice d'Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis. TISM helped in understanding the hierarchical relationship among different factors influencing lean HRM implementation, whereas MICMAC analysis provided insights into the level of influence and dependence of each factor on others.

The research revealed that “top management support” emerged as the most independent factor, indicating that strong support from top management is crucial for initiating and sustaining lean HRM practices in manufacturing SMEs. On the other hand, “employee involvement and empowerment” was identified as the most dependent factor, suggesting that fostering a culture of employee engagement and empowerment greatly relies on the successful implementation of lean HRM practices.

While the study provided valuable insights, it has certain limitations. The research was conducted within the specific context of manufacturing SMEs, which might limit the generalizability of the findings to other industries. Expert opinions introduce subjectivity in data collection. Additionally, the study may not cover all critical factors, allowing room for further exploration in future research.

The findings have practical implications for manufacturing SMEs aiming to implement lean HRM practices. Recognising the pivotal role of top management support, organisations should invest in cultivating a strong leadership commitment to lean HRM initiatives. Furthermore, enhancing employee involvement and empowerment can lead to better adoption of lean HRM practices, resulting in improved operational efficiency and overall competitiveness.

This research contributes to the field by offering a comprehensive exploration of the interplay among factors influencing lean HRM implementation. The use of TISM and MICMAC analysis provides a unique perspective on the relationship dynamics between these factors, allowing for a nuanced understanding of their roles in the adoption of lean HRM practices in manufacturing SMEs. The identification of “top management support” as the most independent and “employee involvement and empowerment” as the most dependent factors adds original insights to the existing literature.

The concern for environmental sustainability has created the need for businesses to embrace new environmentally responsible behavior, values and beliefs. Developing green culture has the capability of influencing employee attitudes and behavior and instilling certain values that shape an internal culture. The purpose of this study is to understand the causal relationship between the factors that influence green organization culture (GOC) in manufacturing small and medium manufacturing enterprises (SMEs) since they are considered significant contributors to environmental pollution. The study also aims to execute the driving and dependency power analysis to find the most and least significant factors of GOC.

The study identified eight factors through an extensive literature review and validated them with the specialists. The total interpretive structural modeling (TISM) approach was employed for discovering the interaction among the identified factors and developing their structural hierarchy. Further matriced impact croises multiplication applique (MICMAC) analysis was carried out to determine the driving-dependence power of each factor.

The study discovered that the factors namely “Top management commitment and support towards green practices and workforce greening F(2)”, “Internal regulatory forces towards the environmental system (F3)” and “Organization's mission including environmental concern (F6)” were observed to be the most significant ones. “Environment that creates green work-life balance F(8)” and “Environment that promotes green attitude and behavior F(4)” were identified to be extremely dependent on the remaining factors.

The proposed outline has been established in the context of India and is restricted to manufacturing SMEs. The methodology presented in the study relies solely on experts' opinions which are qualitative in nature. Integration with a different method can be used to do statistical validation and add new variables to the problem, thereby reducing restrictions. The findings may facilitate manufacturing SME owners/managers and HR managers to recognize the most and least important factors of GOC and their causal relationships. This will increase awareness of GOC practices among managers thus contributing to environmental performance.

It is essential for manufacturing small and medium enterprises to enhance their GOC for reducing its negative impact on the environment and further for gaining competitive advantage. Also, this research will offer insights into environmental management and enlarge awareness in the subsequent fields: of academics, practitioners and decision-makers who are engaged in managing environmental issues at various stages.

The researchers believe that the study is highly significant for manufacturing SMEs as they contribute to the economy as well as environmental degradation. Also, none of the research focused on understanding the causal relationships between the factors of GOC using the TISM approach in the Indian manufacturing SMEs context. This research adds an important contribution to the current GOC literature.

Demanding and highly competitive business environment has stimulated small and medium enterprises (SMEs) to restructure their manufacturing practices. Lean manufacturing (LM), a comprehensive alternative, is now being adopted, notably by manufacturing organizations, to increase business effectiveness and performance through a variety of lean approaches. Lean implementation, however, ran into a number of difficulties, which showed that non-technical factors such as human-related practices must also be integrated if lean is to be successful. This study aims to examine a thorough overview of the various human-related lean practices (HRLP) mentioned in recent literature and to determine which of them is more pertinent to a successful LM implementation in SMEs.

A total of 193 publications published in 45 journals between 2013 and 2023 and based on the 4 reputable publishers, namely, Science Direct, Emerald Online, Taylor and Francis and Springer Link, were gathered based on a systematic literature review of peer-reviewed journal articles in LM.

The amount of research on human resource management and lean management that has been conducted has increased dramatically during the past few years. The outcome of this study will offer a thorough analysis of soft lean practices found in the LM literature that manufacturing SMEs should take into account while implementing lean.

The scope of this research is restricted to a survey of scholarly works using the terms “Lean manufacturing” or “Lean production” as well as “human” or “people” or “soft-lean practices” in the title. Furthermore, only works published in scholarly publications that have undergone peer review were included. Also, due to the authors’ linguistic restrictions, only English articles were used. The HRLP linked to a smooth lean transition are described in this research. Thus, it can be used to assist the production and human resource departments in raising an organization’s long-term performance.

The study gives researchers a better grasp of the direction the subject is taking and what gaps still exist, which aids them in focusing their research on HRLP in small- and medium-sized businesses.

Small and medium-sized enterprises (SMEs) are a major source of employment and revenue growth in developing nations like India, but they also face challenges from resource shortages, shifting consumer demand and heightened competition. This research aims to discover the aspects that enhance SMEs' competitiveness and performance.

By analyzing literature and consulting experts, 10 factors that boost a firm's competitiveness were identified. The total interpretive structural modeling (TISM) method was then used to determine their interaction and structural hierarchy. Neutrosophic-MICMAC analysis was employed to assess the driving-dependence power of each factor.

The study discovered that the factor, namely “entrepreneurial orientation,” was found to be a significant one. “Manufacturing strategy” was found to be extremely dependent on the remaining competitive advantage factors.

This SME-focused framework can be adopted by large businesses to enhance organizational performance by focusing on critical factors. The study depends on experts' judgment, which might be biased. Findings will assist SMEs in identifying significant factors influencing competitive advantage and relationships, increasing awareness of factors contributing to competitive edge.

The results of the research may encourage SME sector managers and practitioners to prioritize the factors that contribute to a firm's competitive advantage.

The majority of research on SME competitive advantage focuses on individual aspects. To add to the body of knowledge on the subject, this study applies the TISM technique to Indian SMEs to identify the contextual interactions among factors that increase long-term competitiveness.

The failure and abandonment of construction projects have proven to be insurmountable problems incessantly militating against the efficient performance of the construction industry in Nigeria. The complexity, technicality and a host of other project execution issues unique to multi-storey building projects do increase their susceptibility to failure and abandonment. Thus, the purpose of this paper is to examine the factors influencing failure and abandonment of multi-storey building projects in Nigeria. This is with a view to provide inferential empirical data that could enhance successful delivery of multi-storey building projects in Nigeria.

Primary data were used for the study. A structured questionnaire was administered on consultants and contractors’ personnel within Lagos State, Nigeria. A total of 180 copies of the questionnaire were administered ,and 134 copies which represent a combined response rate of 74.4 per cent were retrieved. The data were analysed using frequency distribution and percentages, Mean item score and factor analysis.

The factors most significant to the failure and abandonment of multi-storey building projects are inadequate funding by the client, improper planning at the pre-construction phase, structural failure in multi-storey building during construction, bankruptcy/business failure of the contractor, improper scheduling of the building project activities and failure to engage qualified professionals with technical expertise and experience. The rated factors clustered under human resources capability, planning and structural quality, contractor selection and variation, insecurity and variation, and force majeure and political risk.

The study was limited to multi-storey building projects in Lagos State, Nigeria. Further studies could focus on specific resuscitation strategies for abandoned multi-storey building projects.

The study provided implications for effective project and contract management of multi-storey building projects which is very paramount to improve the delivery of complex, technical- and capital-intensive building projects in Nigeria.

The study provides specific implications for the management of multi-storey building projects, thereby enhancing the delivery of building projects.