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Resource allocation has always been a critical problem with significant economic relevance. Many industries allocate the resources based on classical methods such as overall equipment effectiveness (OEE) and data envelopment analysis (DEA). The lack of OEE factors’ weight, how it is defined, analyzed, interpreted and compared in OEE and selection of unrealistic weights, self-appraisal and disability of complete ranking in DEA are challenges that are possible to occur. These defects may result in unfair allocation of the resources. This study aims to overcome the mentioned weaknesses.

In this paper, an approach using a set of various DEA models and Nash bargaining solution (NBS) is designed to solve the resource allocation problem based on OEE, among a set of comparable and uniform DMUs (decision-making units) in a fair way.

The results show that a unique Pareto optimal allocation solution is obtained by the proposed DEA–NBS model among the DMUs. This allocation is more acceptable for players, because the allocation results are commonly determined by all DMUs rather than a specific one. Furthermore, the rankings achieved by the utilized methods and TOPSIS (technique for order preference by similarity to ideal solution) are compared by Spearman’s rank correlation coefficient to validate the resource allocation plan. The findings indicate that the DEA–NBS method has the best correlation with the TOPSIS approach.

To the best of authors’ knowledge, no research has considered the use of DEA and NBS with OEE.

The purpose of this paper is to investigate the factors influencing the leadership effectiveness of hospital managers in Iran.

Top managers (15), middle managers (10) and operational managers (5) of public, private or social security hospitals in Tehran participated in a qualitative study using semi-structured in-depth interviews. Data were recorded, transcribed and then analyzed via MAXQDA 10 software.

The findings were categorized into two main themes of internal and external factors with eight sub-themes. The most important internal factors that had an influence on the leadership of the hospital managers were intra-organizational relations, manager’s personality traits, knowledge, attitude and skills of the manager. The most important external factors included extra-organizational relations, macro-level health policies, access to special financial resources, and social, economic and political factors.

The results call for a need to understand and analyze the socioeconomic factors influencing managers’ leadership while adopting appropriate strategies.

The results of the current study can help design training programs for hospital managers, and suggest criteria for appointing hospital managers across the country and this can enhance the effectiveness of their leadership. Health sector policymakers and decision makers should reform the programs that target training and empowerment of hospital managers so that the right people with the right competencies will hold such positions.

The results of this study showed that leadership effectiveness is also influenced by social and external factors. On the other hand, the effectiveness of management leadership can play a significant role in the quality of care provided to the community, patient satisfaction and in hospital social performance through the appropriate management of all hospital resources. Such factors should also be considered in training and appointing hospital managers.

Although there are several studies on hospital managers’ leadership worldwide, this study is the first to investigate the leadership effectiveness of hospital managers in Iran.

Successful smart cities' implementation will require organisational leadership decision-making competences. The foundation of smart cities is digital technologies; many of these technologies are emerging technologies that require IT skills, which are scarce and will exacerbate the battle for talent between organisations. Filling the talent gap will necessitate global hiring, which has implications for organisational culture, cultural diversity and organisational leadership. Organisational cultural mix is an important contributor to leadership decision-making. However, decision-making is underpinned by trust. Blockchain is an emerging technology that has the potential to engender organisational trust in decision-making and, by extension, in the leadership with the ‘right’ organisational culture. Smart cities will be required to leverage emerging technologies to give business performance a competitive advantage and use emerging technologies’ applications to build a sustainable competitive advantage.

The purpose of this paper is to examine the relationship between product innovation and network and their export performance, particularly in trade fair context. Moreover, this paper conducts a comparative study among services/industrial small and medium-sized enterprises (SMEs) and considers the home-country context. Innovation and internationalization are stagnant themes in the recent literature on trade fairs, so they require to be renewed.

The empirical study includes a survey with 341 SMEs’ respondents separated into both industrial/producer and service/other. A conceptual model was developed and examined from three different perspectives: Model A encompasses all surveyed SMEs, Model B includes only industrial/producer SMEs and Model C comprises service/other SMEs. Data analysis happened in two steps. The first step included the structural equation model (SEM) and the assessment of hypotheses (from three different perspectives). Thus, it was possible to make a comparative analysis between the models. In the second step, the ordered logit model (OLM) is used to study relationships between control variables and the criteria variable export performance.

The SEM’s results confirm a conceptual model about a dynamic trajectory that SMEs, mainly industrial/producer, can take advantage of: innovate to networking and networking to export. The results allowed to verify when comparing services/industrial SMEs that the tangibility which characterizes the innovation of industrial SMEs' products contributed significantly to the performance of business networks and exports. The study also reveals, through the OLM, two catalysts for the success of the SME’s export performance: export experience and continued participation in trade fairs. The OLM results also reveal that the size of the companies is not relevant, so trade fairs are marketing tools accessible to any company, regardless of their size. Finally, the study considered home-country context of the surveyed SMEs, which allowed additional interpretations to be drawn.

The study does not reflect the individual's personality in his network capacity and the export performance was measured based on the level of satisfaction and not on real sales results. However, the study provides relevant practical implications and can support future studies.

The study offers important implications for SME. The results reveal that presenting product innovations at trade fairs is a useful tool for SMEs to create networks, which facilitates their export performance, especially for industrial SMEs residing in small economies such as Portugal. This study is also relevant for business associations of industrial SMEs and/or public or semi-public SME promotion agencies.

This paper contributes to the literature on trade fairs, suggesting a new innovation, networking, export (INE) framework to reflect on the participation in international trade fairs. So, this research especially combines product INE performance in a particular context – international trade fairs for SME. It also considers the home-country context of the SMEs, which adds depth to the study. Finally, the comparative study also provides insightful implications for industrial SMEs on how to improve the export performance from trade fairs by leveraging innovation and networking.

Brief introduction on the importance and the need for plastic analysis methods were presented in the beginning section of this review. The plastic method for analysis was considered to be the more advanced method of analysis because of its ability to represent the true behaviour of the steel structures. Then in the following section, a literature analysis has been carried out on the previous investigations done on steel plates, steel beams and steel frames by other authors. The behaviour of them under different types of loading were presented and are under the investigation of innovative new analysis methods.

Structure member connections also have the potential for plastic failure. In this study, the authors have highlighted a few topics to be discussed. The three topics in this study are T-end plate connections to a square hollow section, semi-rigid connections and cold-formed steel storage racks with spine bracings using speed-lock connections. Connection is one of the important parts of a structure that ensures the integrity of the structure. Finally, in this technical paper, the authors introduce some topics related to seismic action. Application of the Theory of Plastic Mechanism Control in seismic design is studied in the beginning. At the end, its in-depth application for moment resisting frames-eccentrically braced frames dual systems is investigated.

When this study involves the design of a plastic structure, the design criteria must involve the ultimate load rather than the yield stress. As the steel behaves in the plastic range, it means the capacity of the steel has reached the ultimate load. Ultimate load design and load factor design are the methods in the range of plastic analysis. After the steel capacity has reached beyond the yield stress, it fulfills the requirement in this method. The plastic analysis method offers a consistent and logical approach to structural analysis. It provides an economical solution in terms of steel weight, as the sections designed using this method are smaller compared with elastic design methods.

The plastic method is the primary approach used in the analysis and design of statically indeterminate frame structures.

The aim of the present study is to perform bibliometric analysis on available literature on the subject of cultural diversity in the tourism sector. The Scopus database is used to retrieve the research article data and 133 articles were fetched over a period of 33 years (1988–2021). The further analysis is performed using and Biblioshiny tool package of R programming language and VOSviewer. The findings for study not only reveal the trends of publications but also produced the information on most influential authors, journals, and universities which are actively contributing to the subject of cultural diversity in tourism. Various network graphs are also generated using software to draw meaningful conclusions. The present study will not only aid future investigators in understanding the past developments on the subject of cultural diversity in tourism but also help industry professionals in formulating better strategies and tactics keeping in mind the cultural dimension of tourism. The present study is a maiden attempt to perform the bibliometric analysis on the subject of cultural diversity in tourism.

This chapter provided systematic and comprehensive analysis on trawl fisheries management and conservation measures in the Straits of Malacca. Detailed analysis is conducted on Malaysian fishery management framework particularly domestic country's trawl fishery status, legal structure, input-control strategies, ecosystem protection plan, pollution, law enforcement, and complementary measures that designed to reduce and prevent overfishing in the exclusive economic zone (EEZ) of Malacca Straits. Gaps and challenges found in existing trawl fisheries literature are presented followed by recommendations for improvement in the management and conservation of trawl fisheries.

Almost all projects in the world are delayed, and sometimes even lead to the full bankruptcy of their beneficiaries. These delays can be calculated using techniques, but most importantly, there must be a fair and realistic division of delays between project beneficiaries. The most valid delay calculation techniques belong to the SCL Global Protocol, but they also have significant drawbacks, such as these: (1) They do not have the capability to prevent project delays (Delay Risk Management); (2) The protocol identifies and introduces any delays in activities with a ratio of one to one as a delay (Effective Delay); (3) It also does not offer the capability to share delays between stakeholders, which is a huge weakness. Floating in the base schedule activities is one of the cost control tools of projects, but it can hide project delays. In this paper, the researchers believe that the floating ownership belongs to the project and not belong to the stakeholders. This is the main tool for analyzing and sharing delays in this research.

The research methodology adopted included an extensive literature review, expert interviews, use of questionnaire and designing three innovative linked together models by researchers.

In this research, an integrated technique is introduced which has the following capabilities; delay risk control, result-based delay analysis and stakeholders delay sharing. This technique with an incursive and defensive approach implements claims management principles and calculates, respectively, non-attributable and attributable delays for each beneficiary.

This creativity led to the introduction of the Incursive and Defensive (In-De) technique; in the SCL protocol techniques, none of these capabilities exist.

Supplier selection (SS) is one of the prime competencies in a sourcing decision. Taking into account the key role played by suppliers in facilitating the implementation of green supply chain management (GSCM), it is somewhat surprising that very little research attention has been imparted to the development of a strategic sourcing model for GSCM. This research aims to develop a strategic sourcing framework in which supplier organizations are prioritized and ranked based on their GSCM performance. Accordingly, the benchmark organization is identified and its strategy is explored for GSCM performance improvement.

The research develops an innovative GSCM performance evaluation framework using six parameters, namely, investment in corporate social responsibility, investment in research and development, utilization of renewable energy, total energy consumption, total carbon-di-oxide emissions and total waste generation. An integrated multicriteria decision-making (MCDM) approach is proposed in which the entropy method calculates criteria weights. The Complex Proportional Assessment (COPRAS) and the Grey relational analysis (GRA) methods are used to rank supplier organizations based on their performance scores. A real-world case of green supplier selection (GSS) is considered in which five leading India-based automobile manufacturing organizations (Supplier 1, Supplier 2, Supplier 3, Supplier 4 and Supplier 5) are selected. Surveys with industry experts at the strategic, tactical, and operational levels are carried out to collect relevant data.

The results reveal that total carbon dioxide emission is the most influential parameter, as it gains the highest weight. On the contrary, investment in research and development, and total waste generation have no significant impact on GSCM performance. Results show that Supplier 5 secures the top rank. Hence, it is the benchmark organization.

The proposed methodology offers an easy and comprehensive approach to sourcing decisions in the field of GSCM. The entropy weight-based COPRAS and GRA methods offer an error-free channel of decision-making and can be proficiently used to outrank various industrial sectors based on their GSCM performances. This research is specific to the automobile manufacturing supply chain. Therefore, research outcomes may vary across supply chains with distinct characteristics.

The basic propositions of this research are based on a real-world case. Hence, the research findings are practically feasible. The less significant parameters identified in this study would enable managers to impart more attention to vulnerable areas for improvement. This research may help policymakers identify the influential parameters for effective GSCM implementation. As this research considers all aspects of sustainability, the strategies of the benchmark supplier have a direct impact on organizations' overall sustainability. The study would enable practitioners to make various strategies for GSCM performance improvement and to develop a cleaner production system.

The originality of this research lies in the consideration of both economic, social, environmental and operational aspects of sustainability for assessing the GSCM performance of supplier organizations. Quantitative criteria are considered so that vagueness can be removed from the decision. The use of an integrated grey-based approach for developing a strategic sourcing model is another unique feature of this study.

The purpose of this paper is to probe and explore the mediation role of knowledge management (KM), in the relationship between human resource (HR) practices and organizational innovation capability.

The investigation is carried out by using a stratified-multi-stage sampling technique of 120-sample size. The data is amassed by both male and female employees working in the service sectors. A structural equation modelling is applied, and three methods are implemented for mediation analysis.

The findings suggest that the mediation role of KM is statistically significant, among the association of HR practices and organizational innovation capability. The fact that the mediation role of KM is established both for male and female employees is also noteworthy.

It can be possible to enhance the organizational innovation capability, if the HR practices are instigated by the HR managers effectively. Through HR practices the knowledge can be administrated and shared effectively that will aid in attaining organizational innovation, as well as competitive advantages.

The developing countries have opted for solutions such as empowering employees in decision-making to maximize innovation. Promoting KM and intellectual capabilities are now among the core parts of the HR policies for developing countries. Therefore, this paper will help in bringing awareness amid developing countries, Pakistan, in particular, to include KM and intellectual capabilities for increasing organizational capabilities.