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To develop a fuzzy causal model of enterprise flexibility dimensions in a case study of Indian pharmaceutical industry.

The eight dimensions of enterprise flexibility were identified based on literature review. Fermatean fuzzy decision-making trail and evaluation laboratory (FF-DEMATEL) technique is applied to develop the cause-and-effect interrelationship model among various enterprise flexibility dimensions.

The information technology flexibility, supply chain flexibility, technical flexibility and marketing flexibility are found to be causing/influencing other flexibilities and contributing to overall enterprise flexibilities. Therefore, more attention needs to be paid to develop and sustain them for competitive advantage.

Fermatean fuzzy sets offer more flexibility and more accurate handling complex uncertain group decision making. FF-DEMATEL is a more accurate method to develop inter-dependencies and causal model than ISM, TISM. Ratings from the limited number of decision experts (DEs) from few pharmaceutical firms were done. Future study should take bigger sample of firms and more number of DEs to generalize the findings.

The model will help managers in pharmaceutical industry to prioritize the dimensions of enterprise flexibility to achieve agility, responsiveness, resilience and competitive advantage.

To the best knowledge of the authors, causal modeling enterprise flexibility dimensions using FF-DEMATEL has been studied for the first time in a developing economy context.

It is difficult for anyone to implement all the lean tools simultaneously. One of the core issues is identifying critical criteria for the successful implementation of lean manufacturing (LM) and evaluating them. The purpose of this paper is to analyze the causal relationships of LM criteria in a machine tool manufacturing firm located in national capital region of India using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method.

The research paper presents a blend of theoretical framework and practical applications. Based on literature review, 17 LM criteria were extracted that were validated by experts. A questionnaire was developed that was answered by experts serving in the XYZ machine tool manufacturing firm. Then, the DEMATEL method was applied to analyze the importance of criteria and the casual relations among the criteria were developed.

Using DEMATEL, the lean criteria were divided into cause group and effect group. In this study, information technology, computer-integrated manufacturing, enterprise resource planning, training, fixed position layout, smart processes and automation and concurrent engineering were classified in the cause group. Just in time, value stream mapping, 5-S, single minute exchange of die, visual control, job scheduling, standardized work, cellular manufacturing, poka-yoke, and total quality management were categorized in the effect group. The DEMATEL framework indicates that “training” is the most influencing factor for the lean implementation process in machine tool sector.

To know the key lean criteria and relationship among them can help many organizations to develop lean competencies. If the authors want to obtain high performance in terms of the effect group factors, it would be necessary to control and pay a great deal of attention to the cause group factors beforehand. This study is perhaps among the first few with focus on segmenting the set of lean criteria into some meaningful portions in order to effectively facilitate its implementation. The paper provides useful insights to the lean production implementers, consultants, and researchers.

Supplier selection problem is the key process in decision making of supply chain management. An effective selection of vendors is heavily responsible for the success of any organization. Vendor selection problem (VSP) reflects a more practical view when the decision makers involved in the problem are present on different levels. Moreover, vendor selection consists of various random parameters to be dealt with in real life. The purpose of this paper is to present a decentralized bi-level VSP where demand and supply are normal random variables and objectives are fuzzy in nature. Decision makers are present at two levels and are called as leader and follower. As the next purpose, this paper extends and presents a solution approach for fuzzy bi-level multi-objective decision-making model with stochastic constraints. Different scenarios have been developed within a real-life case study based on different sets of controlling factors under the control of leader.

This study uses chance-constrained programming and fuzzy set theory to generate the results. Stochastic constraints are converted into deterministic constraints using chance-constrained programming. Decision variables in the bi-level VSP are partitioned between the two levels and considered as controlling factors. Membership functions based on fuzzy set theory are created for the goals and controlling factors and are used to obtain the overall satisfactory solutions. The model is tested on a real-life case study of a textile industry and different scenarios are constructed based on the choice of leader’s controlling factors.

Results showed that the approach is quite helpful as it generates efficient results producing a good level of satisfaction for the decision makers of both the levels. Results showed that on choosing the vendors that are associated with worst values in terms of associated costs, vendor ratings and quota flexibilities as controlling factors by the leaders, the level of satisfaction achieved is highest. The level of satisfaction of solution is lowest for the scenario when the leader chooses to control the decision variables associated with vendors that are profiled with minimum vendor ratings. Results also showed that higher availability of materials and budget with vendors proved helpful in obtaining quota allocations. Different scenarios generate different results along with different values of satisfaction degrees and objective values which shows the flexible feature of the approach based on leader’s choice of controlling factors. Numerical results showed that the leader’s control can be effectively incorporated maintaining satisfaction levels of the followers under various scenarios or conditions.

The paper makes a certain contribution toward the study of vendor selection existing in a hierarchical manner under uncertain environment. A wide set of data of different factors is needed which can be seen as a limitation when the available time is short for the supplier selection process.

VSP which is generally adopted by most of the large organizations is characterized with hierarchical decision making. Moreover, dealing with the real-life concern, the data available for some of the parameters are not complete, representing an uncertainty of parameters. This study is quite helpful for decentralized VSP under uncertain environment to reduce the costs, improve profit margins and to create long-term relationships with selected vendors. The proposed model also provides an avenue to explore the decision making when the leader has control over some of the decision variables.

Reviewing the literature available, this is the first attempt to present a multi-objective VSP where the decision makers are at hierarchical levels considering uncertain parameters such as demand and supply as per the best knowledge of authors. This research further provides an approach to construct scenarios or different cases based on the choice of leader’s choice of controlling factors.

The purpose of this paper is to investigate the impact of lean production practices on performance measures in machine tool industry and determines the lean criteria that can have significant positive impact on performance.

The research paper presents a blend of theoretical framework and practical applications. Extant literature was reviewed and to achieve the research objectives, an exploratory survey was carried out in machine tool supply chains located in the national capital region of India. Reliability test, factor analysis and stepwise multiple regression analysis bring out several lean criteria that can affect key performance measures.

It was found that two lean criteria, namely, strategic partnership with suppliers and cross-functional cross-organizational design and development teams significantly influenced most of the key performance measures. Some lean criteria were found to negatively affect the overall competitive potential of machine tool firms.

The findings can encourage the management of non-adopter firms to adopt lean thinking and to select the lean production criteria that can be implemented to have significant positive impact on key performance indicators in machine tool value chains. This study is perhaps among the first few that focus on machine tool industry in India. The paper provides useful insights to the lean production implementers, consultants and researchers.

This study aims to identify and explore experiences, perspectives, barriers and enablers to women’s career progression to management positions in the health-care sector and to assess women’s and men’s perceptions of the policies and practices of the health-care system concerning gender equality and nondiscrimination between women and men.

A cross-sectional survey was conducted among health-care professionals in ten selected hospitals, including physicians, registered nurses/midwives and pharmacists with or without managerial positions.

This study included a total of 2,082 female and 1,100 male health-care professionals. Overall, 70% of women and men reported that opportunities for advancement are based on knowledge and skills in their institution. However, 58.9% of women (p < 0.001) reported that women are more likely to face barriers to career advancement than men do in their workplace. Lack of women in general/line management and discrimination against women by supervisors at the point of promotion were the main barriers to women's career progression, as they were reported by two-thirds of women. The main barrier, as perceived by men (62.3%) was that women have family and domestic responsibilities.

To overcome barriers in women's career progression, there is a need to establish a career planning and capacity-building program for women in the health sector.

Jordanian female health-care professionals face different barriers that affect their career progression, including inequity and discrimination in the workplace, negative views about women’s abilities, lack of qualifications and training, hostile cultural beliefs and family responsibilities.

This study empirically examines the impact of motivation, transformational leadership and involvement in strategic planning (SP) on academic staff performance at higher education institutions (HEIs). It also examines how academics' involvement in SP mediates the associations between motivation, transformational leadership and performance.

This article conducted a quantitative approach based on a self-administered survey. Partial least squares structural equation modeling (PLS-SEM) was applied to analyze the data gathered from 192 faculty members at governmental HEIs in Oman.

The results indicated that academic staff motivation has a significant and positive impact on their involvement in SP and performance in HEIs. It is also revealed that employee involvement in SP activities is significantly affected by transformational leadership, while the latter does not affect academic staff performance. There is also a significant association between academic staff involvement in SP and their performance. Moreover, the relationships between motivation, transformational leadership and performance are fully mediated by academic staff involvement in SP at HEIs.

The current empirical work is one of the few endeavors to develop an integrated structural model to investigate how faculty members' performance could be affected by motivation, transformational leadership and involvement in SP. Furthermore, it is considered one of the first attempts to explore the intervening role of academic staff involvement in the SP process in the connections between motivation, transformational leadership and performance within the HEI realm.

This study aims to examine the relationship between ethical leadership and project success directly and indirectly through psychological empowerment along with the moderating role of Islamic work ethic.

Using a time-lagged design, data were gathered from 202 employees working in project-based organizations of Pakistan. Confirmatory factor analysis confirmed the distinctiveness of variables used in the study.

Consistent with the cognitive evaluation theory, the findings supported the hypotheses other than the moderating role of Islamic work ethics between psychological empowerment and project success. The results confirmed that ethical leadership promotes project success directly and indirectly via psychological empowerment. Furthermore, theoretical and practical implications are also discussed highlighting the importance of ethical leadership for researchers and practitioners.

Literature is insufficient on the topic of ethical leadership in the project management domain with the effect of Islamic work ethics and psychological empowerment. Therefore, the current study explored unanswered research questions in the project management domain.

In recent decades, the student population in dormitories has increased notably, primarily attributed to the growing number of international students. Dormitories serve as pivotal environments for student development. The coordination and compatibility among students can significantly influence their overall success. This study aims to introduce an innovative method for roommate selection and room allocation within dormitory settings.

In this study, initially, using multi-attribute decision-making methods including the Bayesian best-worst method and weighted aggregated sum product assessment, the incompatibility rate among pairs of students is calculated. Subsequently, using a linear mathematical model, roommates are selected and allocated to dormitory rooms pursuing the twin objectives of minimizing the total incompatibility rate and costs. Finally, the grasshopper optimization algorithm is applied to solve large-sized instances.

The results demonstrate the effectiveness of the proposed method in comparison to two common alternatives, i.e. random allocation and preference-based allocation. Moreover, the proposed method’s applicability extends beyond its current context, making it suitable for addressing various matching problems, including crew pairing and classmate pairing.

This novel method for roommate selection and room allocation enhances decision-making for optimal dormitory arrangements. Inspired by a real-world problem faced by the authors, this study strives to offer a robust solution to this problem.

The purpose of this study is developing a new buy-back coordination contract in the symbiotic supply chain. In this new contract, the goal of the supply chain members (profit maximization) is realized.

This paper encourages the manufacturer to order products optimally by presenting a new buy-back coordination contract, and in return, the supplier undertakes to buy the unsold products from the manufacturer at the buy-back price. By using data-driven decision-making and multiobjective decision-making and considering the existing conditions in the symbiosis industry, a contract has been presented that guarantees the profits of supply chain members.

In this paper, it was found out how the authors can determine the order quantity, buy-back price and wholesale price in a symbiotic supply chain in such a way that it makes a profit for both the supplier and the manufacturer. In other words, how to determine these variables to encourage the manufacturer to order more quantity to the supplier so that both will benefit.

To the best of the authors’ knowledge, this is the first paper that defines a new buy-back coordination contract in the symbiotic supply chain by considering uncertain demand and a multiobjective model. Due to the importance of environmental issues, the sharing of resources by companies and organizations with each other, and the necessity of their cooperation, industries are moving toward a symbiosis industry.

Quality in the construction industry is an important issue yet ignored during the initial stages of the life cycle of a project, that is, the design and construction stage. The contribution of stakeholders, especially the architects is generally suspended though it has huge significance in terms of cost and time related to quality. This research endeavors to examine the issues related to the design and construction stages of the project from architects' purview, to understand the relative importance of these issues in the Indian construction industry.

The study of qualitative data conducted formed a basis for online quantitative data collection that was further analyzed with the help of cross-tabulation and multiple correspondence analysis methods.

The study concludes that the budget of a project is a corresponding factor related to quality concern for architects. The study also established that the quality issues corresponding to high budgets are closely related to the construction stage and are identified as preparation of checklist, and bidding process of hiring the contractor on the lowest bid.

The study is limited to analyzing the perspective of architects; however, other stakeholders of the construction industry may represent a different opinion.

This research emphasizes the importance of the client's role, and need for integration and coordination among stakeholders in the construction industry for effective quality control and management.

The research presents an exhaustive literature review on quality issues and its importance with respect to cost implications, standard practices, sustainability and the life cycle of the project.