Although various initiatives have been undertaken by the universities worldwide to ensure that their campus operates sustainably, there are emergent barriers that pose serious challenges to the practitioners and subsequently hinder the successful implementation. The research for this paper was built upon the discussion concerning ‘campus operations’, which is one of the dominant sustainability elements in the university systems. It analyzes the barriers for green campus operations implementation through a methodological approach, which was implemented in two tiers. For identification of the barriers, a comprehensive review of the literature was performed and consulted with academic experts who have been involved in greening campus operations in the university. Next, interpretive structural modeling was used to analyze and develop a model of interactions, mutual influence, and relationship among barriers. The results revealed an eighteen-barrier interpretive structural model with eight levels. The analysis indicated that ‘lack of awareness’, ‘lack of knowledge’, ‘resistance to change’, and ‘inefficient communication’ are the dominant barriers with high driving and low dependence powers. The research findings highlighted the importance of this structural model for universities to facilitate the implementation of campus operations by removing the dominant barriers.

This paper investigates the barriers that hinder the implementation of lean manufacturing in wood and furniture industries as the adoption of this philosophy in such industries is not promising especially in emerging economies. To this end, a comprehensive review of the literature was performed to identify the barriers and develop a conceptual model. Next, structural equation modeling is employed to examine the model using the collected data from 131 wood and furniture companies. The findings revealed a synergetic effect between three key factors—culture and human attitude, knowledge, and resources—which play a crucial role in implementing lean. The analyses indicated the reasons of companies refused or not ready to implement lean on knowledge and culture and human attitudinal issues, particularly in companies that have limited resources. It is believed that resource issues are an obstacle to lean implementation, but not as important as knowledge and culture and human attitudinal issues. Sufficient knowledge is needed to deploy lean practices as well as changes in culture and human attitude. Investigating the relationships between these three key barriers is a contribution that this study intends to become a forward step for promoting lean manufacturing among under-studied industries. This paper also proposes that through adopting the activities for lean implementation, small and medium enterprises can experience and quantify the positive impacts of lean practices. Government agencies, universities, and professional bodies can support such enterprises in this transition through targeted interventions that address the barriers presented.

This paper proposed seven existing and new performance indicators to measure the effectiveness of quality management system (QMS) maintenance and practices in construction industry. This research is carried out with a questionnaire based on QMS variables which are extracted from literature review and project performance indicators which are established from project management's theory. Data collected was analyzed using correlation and regression analysis. The findings indicate that client satisfaction and time variance have positive and significant relationship with QMS while other project performance indicators do not show significant results. Further studies can use the same project performance indicators to study the effectiveness of QMS in different sampling area to improve the generalizability of the findings.

Manufacturing companies are facing rapid and unanticipated changes in their business environment. Most of these companies need to find new strategies to remain competitive in the market. Therefore, the main purpose of this study is to integrate the Fuzzy Analytical Network Process (ANP) and VIKOR methods to evaluate the green agile factors and sub-factors in the dairy companies in Iran. To find the green agile factors and sub-factors, this study used the expert’s opinions and literature review. Data is collected from four dairy companies. The results of this study showed that the most important green agility factors are: trust-based relationship with suppliers, flexible production capacity, versatile workers, compliance with quality standards for a new product, and workers’ willingness to learn. In addition, the results indicated that the green agility organization is one of the strategies that help companies to stay in the market. To validate the results, this study used four methods, including TOPSIS, ARAS, EDAS, and MABAC. The necessity of a reaction to the increasing customer choices, environmental concerns, and competitiveness among manufacturers across the globe has engaged the industry to embrace innovative manufacturing strategies.

The sheet metalworking industries possess minimal knowledge in the area of sustainability despite having served as sub-contractors to various industrial sectors. This also highlights that suitable indicators for measuring the sustainability performance of sheet metalworking operations are poorly addressed. As sustainability assessment is regarded as a vital part of sustainable development, this paper has been aimed at establishing a general framework for sustainability assessment of sheet metalworking processes. The main attention was paid to two important processes—the cutting operations with a CNC turret punch press machine and sheet metal bending operations with CNC press brake machine. Stepwise guidelines to implement the proposed framework in sheet metalworking industries are consequently presented. Besides, this study contributes to developing an applicable sustainability indicator set for assessing such manufacturing processes. It makes a valuable contribution to advancing the narrow body of knowledge on the under-researched scope.

Purpose: This study analyses the challenges in implementing lean manufacturing (LM) in the wood and furniture industry. In order to facilitate the smooth implementation of LM practices in this industry, the challenges in terms of its deployment need to be analysed and observed.Design/methodology/approach: Realizing this importance, this study proposes a model, using PLS-SEM, which focusses on dealing with the challenges faced in the implementation of lean in the wood and furniture industry. The model consists of ten challenges that were determined based on a survey involving 46 SMEs companies in Malaysia.Findings: The findings revealed that the implementation of LM is significantly affected by three main issues, namely: knowledge, resources and culture and human attitude. Furthermore, the analyses also highlighted four dominant challenges which are related to culture and human attitude issues – lack of employee commitment, lack of senior management's interest and support, difficult to implement, and LM is viewed as “current trend”. Overall, the ability to deal with the challenges involving factors of knowledge and culture and human attitude determines the success of LM implementation, especially in companies that have limited resources.Practical implications: This study would help wood and furniture SMEs, government agencies, professional bodies and academics to better understand the challenges when implementing LM practices.Originality/value: Overall, this study aims at investigating the relationships between the three challenges to better promote LM in the scope under study. Therefore, several activities were proposed to overcome the abovementioned challenges and subsequently contribute to the current body of knowledge.