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The purpose of this paper is to focus on tracing GHG emissions across the supply chain industries associated with the US residential, commercial and industrial building stock and provides optimized GHG reduction policy plans for sustainable development.

A two-step hierarchical approach is developed. First, Economic Input-Output-based Life Cycle Assessment (EIO-LCA) is utilized to quantify the GHG emissions associated with the US residential, commercial and industrial building stock. Second, a mixed integer linear programming (MILP) based optimization framework is developed to identify the optimal GHG emissions’ reduction (percent) for each industry across the supply chain network of the US economy.

The results indicated that “ready-mix concrete manufacturing”, “electric power generation, transmission and distribution” and “lighting fixture manufacturing” sectors were found to be the main culprits in the GHG emissions’ stock. Additionally, the majorly responsible industries in the supply chains of each building construction categories were also highlighted as the hot-spots in the supply chains with respect to the GHG emission reduction (percent) requirements.

The decision making in terms of construction-related expenses and energy use options have considerable impacts across the supply chains. Therefore, regulations and actions should be re-organized around the systematic understanding considering the principles of “circular economy” within the context of sustainable development.

Although the literature is abundant with works that address quantifying environmental impacts of building structures, environmental life cycle impact-based optimization methods are scarce. This paper successfully fills this gap by integrating EIO-LCA and MILP frameworks to identify the most pollutant industries in the supply chains of building structures.

Although an emerging field in work and family literature, organization cross domain intervention managing strategies (CDIMS) is an under-researched area. This study aims to investigate whether organization non-monetary CDIMS (control over work hours and supervisor support) have an impact on employee outcomes via the mediating effect work–family balance (WFB).

Data for the study have been gathered in two distinct surveys from 300 employees working at the managerial level in various manufacturing companies of Pakistan with a seven-week time interval to reduce common method variance. Data were collected during January and March 2020. Confirmatory factor analysis has been performed before testing the mediated model.

Organization non-monetary CDIMS i.e. control over work hours and supervisor support has been associated positively with WFB, which has further mediated the relationship between workplace non-monetary CDIMS and employee professional outcomes.

Both supervisor support and control over work hours improve employee outcomes by experiencing the satisfaction with WFB. It has been recommended that organizations embed cross-domain interventions in their job design to benefit all employees impartially. Thus, all employees can enjoy better WFB and show positive work behaviors.

This study demonstrates the effectiveness of non-monetary organization CDIMS in enhancing the experience of employee’s WFB and improving their professional outcomes.

A major frustration for most policy researchers in the small to medium‐sized enterprise (SME) area is the virtual non‐existence of scientific data on this sector in the country. This paper aims to provide some data.

A survey of 651 SMEs from the manufacturing sector of Pakistan was conducted in 2003 and statistical analysis was carried out to analyze the data. This paper focuses on the relationship between the health indicators namely, sales/employee, increase/decrease in sales, and investment plans and the different personal characteristics of the owner/entrepreneur.

This analysis suggests that education, generation setting up the business, and number of partners have a significant relationship with the health of SMEs. Health of the firm is also dependent on owner habits like watching television, reading newspapers and using computers for office work. Other factors like caste of the owner and occupation of the owner's relatives were also analyzed, but no significant relationship with the health of an SME was observed.

The implications of this study are far reaching in understanding the profiles of owners of SMEs in Pakistan and how these profiles impact the profitability of the firms.

To date no other such study has been carried out in Pakistan. Similar studies on owner profiles have previously been carried out in other countries such as the UK and USA.

The purpose of this research is to provide a window into the supply chain practices of the small and medium enterprise sector in Pakistan.

The Small and Medium Enterprise Center (SMEC) at the Lahore University of Management Sciences undertook a survey in 2003 to gauge the health of this sector. A survey of 650 firms in ten districts in the country was conducted. This paper presents the results and analyses of the supply chain practices of these SMEs.

There is dearth of independent data and research in the field of SME's in Pakistan. This paper provides a window to the supply chain practices of SME's in Pakistan and will enable future researchers to use this research as a building block in understanding these practices and the factors that pertain to successful firms.

The implications of this study are far reaching enabling trainers, consultants, donor agencies, and entrepreneurs in the SME sector to learn the practices of successful firms and adopt/help SMEs adopt these in their operations.

This paper we report some of the results of the survey and our analysis of factors related to supply chain management practices that seem to correlate with the health of the enterprise. The analysis shows that successful firms on average had more products, more customers as well as more new customers. SMEs into exports were the healthiest and exhibited most dynamic characteristics, followed by those that sold to OEMs. Another interesting insight is that growing firms sold more directly to end users while firms with higher sales per employee sold the least to the end user.

A major frustration for most policy researchers in the SME area is the virtual non‐existence of scientific data on this sector in the country. This is the first survey of its kind in Pakistan.

It has been suggested that much of the potential inefficiencies associated with supply chain management (SCM) costs can be traced to wasteful practices such as inefficient, unnecessary, or redundant stocking practices, or inefficient transportation. The purpose of this paper is to develop a model which reconciles many of these inefficiencies by integrating production factors, purchasing, inventory, and trucking decisions for optimizing supply chain costs between first‐, and second‐tier suppliers and subsequent OEM customers.

The modeling technique is mathematical programming tested in a simulation model. In an effort to determine the significance of the transportation component of the proffered model, the fully developed model is differentially tested, including standard production variables varying transportation costs, paired with similar instances of the model in which the transportation costs are fixed.

Significant differences are found in the predictive abilities of the respective models, and this supplies pragmatic evidence of the important role that transportation issues play in the consideration of integrated SCM costs.

The key limitation to this finding lies in the validation process. As suggested by Sargent, Monte‐Carlo studies are useful for validation purposes, and the supply chain optimization model (MHSCM) is certainly confirmed through this particular simulation.

The managerial focus on transportation management and cost control in SCM can be highlighted as a critical implication of the study.

The structure of the MHSCM is robust, and may be useful for cost‐control planning purposes in a dynamic environment, subject to certain limitations accruing to the methodology.

The purpose of this study is to provide an insight into how individual and work factors are related to the attitudes of functional flexibility by using the willingness and ability to be flexible as dimensions of functional flexibility.

This study is conducted through a survey of workers and administrative staff of small- and medium-sized enterprises (SMEs) in Pakistan. Correlation and hierarchical regression techniques were used to find out the association of the dimensions of functional flexibility with the individual and work factors. Individual factors include demographic characteristics, work perception and personality traits, whereas work factors include trust in management, task formalization and autonomy.

Individual factors (i.e. general self-efficacy and initiative) and one of the work factors (i.e. trust in management) showed a positive relation, whereas task formalization was negatively related with the willingness to be flexible. General self-efficacy of workers and administrative staff was positively correlated with the ability to be flexible dimension of functional flexibility. It was concluded from the findings that the two dimensions of functional flexibility, willingness to be flexible and ability to be flexible, of employees depend on fair treatment and freedom provided by their organization.

The current study was conducted on the employees of SMEs in Pakistan. A similar study on employees of multi-national corporations (MNCs) and service sectors may be useful for comparison.

Management should improve the attitudes of employees toward functional flexibility in SMEs in Pakistan by creating a climate of trust, using lower degree of laid down and prescribed procedures and giving them opportunities for doing new tasks. Furthermore, providing them feedback on the performance and achievement of these new tasks would also help in this regard.

The SMEs of Pakistan are in the process of transformational change. This study highlights the key factors that would be helpful to enhance the functional flexibility of employees working in the SME sector in Pakistan.

This study aims to propose an electronic waste collection and classification system to enhance social, environmental and economic sustainability by integrating data-driven technologies in emerging economies.

GM (1, 1) model under grey prediction is used in this study in order to estimate the trend of the amount of collected electronic waste in emerging economies.

It is revealed that the amount of collected electronic waste is increasing day by day, and within the framework of sustainability in the process of collecting and classification of electronic waste, digital technologies were found to be lacking. It has been determined that this deficiency, together with the increasing amount of electronic waste, has caused environmental, social and economic damage to emerging economies.

The main originality of this study is integrating electronic waste collection and classification processes with data-driven technologies and sustainability, which is a relatively new subject.

The purpose of this paper is to explore the implementation of lean within two contrasting UK-based organizations; a food manufacturer and a healthcare organization. The different contexts provide insight to the strategic desire for efficiency gains and tactical issues and challenges of lean execution and implementation.

The research questions developed from the review of the literature were tested using evidence from field-based, action research within a food manufacturer and a National Health Service organization. The reported contrasting case studies contribute to the longer term debate on the adoption and adaptation of lean-based “best practice” within organizations.

There are three primary findings: first, that the adoption of lean provides a strategic benefit, as well as providing a basis for a strategy of operational change; second, that partial, as opposed to full, adoption of lean occurs due to external organizational constraints, such as demand patterns, supplier unreliability, little expertise in deploying change programmes, etc.; and third, that a company will balance the adoption of the lean ideology against the financial costs and operational risks incurred in full adoption.

The conclusions drawn add substantially to the ongoing commentaries on aspects of lean, and develop interesting questions for future research regards the developed “Cycles of Lean Implementation” concept.

The conclusion proposes that partial implementation of the lean philosophy does not necessarily represent a conscious organizational choice, or any lack of conviction, but is representative of external constraints on the organization. This complements previous commentaries on appropriate strategies and develops interesting questions for future research into operational efficiency.

This research aims to investigate the contingent effect of entrepreneurial orientation (EO) and strategic decision responsiveness (SDR) on the link of market orientation (MO) and performance of women-owned small and medium-sized enterprises (WSMEs).

Data were collected from 909 WSMEs of Punjab province Pakistan through survey questionnaire. Hierarchical regression is employed to perform the analysis.

Results reveal that although higher-level dimensions of MO directly affect the WSMEs performance, however this linkage becomes stronger under SDR and higher-level dimensions of EO.

Managers should emphasis on the demonstration of EO's dimensions and SDR to utilize the full potential of MO to promote WSMEs performance.

To study the contingent effect of SDR and EO's dimensions in the MO–WSMEs performance nexus is the novelty of this study.

The purpose of this paper is to investigate the potential role of innovativeness in determining supply chain (SC) integration and to foster the SC performance of manufacturing small and medium enterprises (SMEs). The study also proposes that the SC integration–performance relationship is contingent to the degree of environmental uncertainty (EU).

The data were collected from 321 manufacturing SMEs working in Pakistan. Respondents were owners/CEOs/managers of the firms. Considering the formative nature of indicators of SC efficiency and effectiveness, partial least square-based structural equation modeling (SEM) was used to analyze the data.

The results indicate that innovativeness positively influences the dimensions of SC integration which in turn affects SC efficiency and effectiveness. The results support the presence of moderation for the relationship between the dimensions of both SC integration and performance. The findings suggest that firms should endeavor to accomplish innovativeness and SC integration, as they jointly promote SC performance.

SMEs can use innovativeness as an important tool to increase SC integration and SC performance. For SMEs with a highly volatile and dynamic environment, managers should achieve SC integration and include external integration orientation at the strategic level in order to reap the greatest advantages from SC integration.

This study contributes to the SC literature by exploring the effect of the nascent determinant (innovativeness) of SC practices and performance to expand and deepen current understanding of the potential role of innovativeness in the SC context. Furthermore, considering EU as a moderator opens up new avenues of research to elucidate the SC integration–performance nexus in the emerging market context.