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Turkey is a maritime country with its current merchant fleet and shipyards, geographical location, young population and growth potential. Clustering, being one of the important improvement methods of global competition power, is widely used in the maritime sector. Analysing the clustering level and potential of Istanbul, which is the major city of Turkey, in regard to economic and social aspects is a basic step for increasing global competitiveness in this sector. This study aims to measure the clustering level of Istanbul’s maritime sector and also define the effect of clustering level on firm performance.

The clustering levels of Istanbul’s maritime transportation and supporting firms, shipyards and maritime equipment manufacturers are measured by means of a survey based on Porter’s diamond theory in this paper. The relationship between clustering level and firm performance is defined by using simple linear regression and fuzzy linear regression methods. The weights of the criteria are calculated by means of entropy method.

It is concluded that despite its deficits, Istanbul’s maritime sector has significant potential to become a major maritime cluster not only in its region but also worldwide. The effect of clustering level on firm performance was observed to be statistically significant, but not high. The results of the simple linear regression and fuzzy linear regression methods are compared.

According to the author’s knowledge, this paper is the first study using fuzzy linear regression and entropy methods to analyse maritime clusters. It evaluates the effect of clustering level on firm performance in the case of Istanbul maritime sector.

Urmia lake water has impressively decreased recently and seriously endangered the lives of the inhabitants. In this paper, the effects of various factors on the reduction of the lake water are investigated and appropriate scenarios are proposed for future improvement. Due to the significant impact of agricultural issues on this crisis, this paper has focused specifically on agriculture. So, this paper aims to forecast and improve the lake water level.

In this paper, a system dynamics (SD) model, which is capable to consider various parameters and variables affecting the lake water level within nonlinear and dynamic relations, is developed.

To show the effectiveness of SD model, real data are used to run the model and the results show that the actual behavior of the lake water is reproduced with high validation (around 98.28 per cent). Also, five different scenarios are proposed to increase lake water volume. The hybrid Scenario 5 (which combines three other scenarios including increasing irrigation efficiency in the agricultural sector, changing cultivation pattern of agricultural products and returning some dams’ water that are consumed in the agricultural sector into the lake) is chosen as the most effective scenario for increasing lake volume about 15 billion m³.

The main contributions of this paper are systemic view to the whole problem, paying attention to the agriculture subject as one of the most important issues, considering many critical variables (e.g. evaporation, salinity and precipitation) and providing improvement policies along with assessing the effects of them.

This study aims to extend the body of knowledge on brand hate and further examine its significant antecedents and consequences to investigate how brand hate affects consumers’ behavioural responses.

This study used a questionnaire to collect data from 403 consumers of Pakistan’s mobile telecommunication industry. Smart partial least square was then used to analyse the data.

This study provides insights into the conception of brand hate in the context of Pakistani consumers. This study’s findings indicate that “neuroticism”, as a consumer-related antecedent, “perceived price unfairness”, “poor product/service quality” and “post-purchase service failures” as company-controlled determinants have significant impacts on brand hate. This, in turn, leads to brand avoidance and brand retaliation. Managerial implications and avenues for future research are also discussed. This study provides insights into the conception of brand hate in the context of Pakistani consumers.

The original findings of this work can thus provide meaningful guidance for companies to mitigate the spread of brand hate among consumers.

This study/paper aims to evaluate the floral richness of the central part of Chattogram city, Bangladesh. Chattogram is recognized as the largest port city and the commercial capital of Bangladesh, which confronts faster urbanization and swift infrastructure development. Green spaces in and around Chattogram city are shrinking sharply, which resulted in rapid loss of floral and faunal resources in this area. The present study was carried out from February 2018 to January 2019 to enumerate the vascular plant species of the Sulakbahar ward located in the central part of Chattogram City, Bangladesh.

The study area was categorized into 10 habitats to assess the variation of floral composition. The extensive whole area survey method was applied to record the flora from all sorts of plant habitats of the research area.

The study enumerated 418 vascular plant species under 315 genera and 120 families including natural, planted and cultivated from the study area. The habit form of the recorded plant composition indicated that herbs (35%) constitute the major plant category followed by trees (34%), shrubs (17%), climbers (12%), ferns (1%) and orchids (1%). The study also indicated that exotic species (50.3%) became dominant than native species (49.7%) in Chattogram city because of their scenic beauty, easy propagation and ornamental value to the city planners and inhabitants.

It appeared that floral resources of the Chattogram city area are in great threat due to aggressive and unplanned infrastructure development for housing, offices and institutions by replacing the green spaces. The study recommended that urgent protection measures should be taken to conserve and protect the existing floral resources for the well-being of the urban people.

Soft skills are essential not only for students but also for employees in any workplace. Some factors influence the development of soft skills in high schools. This study investigates the effect of psychological capital (PsyCap) on soft skills through the role of psychological well-being at different students’ grade levels.

Three scales (i.e. the Psychological Capital Questionnaire, the Scale of Psychological Well-being and the soft skills assessment) were used on 707 high school students from seven senior high schools. The data were analysed using a moderated-mediation regression technique to reveal the conditional indirect effect of PsyCap on soft skills.

The results suggested that students' grade levels moderated the indirect effect of PsyCap on soft skills via psychological well-being. Students in higher grades showed a stronger impact of PsyCap on soft skills via psychological well-being.

The psychological states of students should be regarded as one of the most critical aspects of education and career advancement. Schools should assist students in developing their soft skills. Students, regardless of grade level, would begin to occupy their PsyCap, ensure their psychological well-being and finally, engage in soft skills development activities.

This current study has shifted from simply assessing soft skills to investigating some avenues for developing soft skills in various contexts and areas. If the theoretical model is well established, teachers and educators can effectively improve soft skills intervention by understanding the antecedents of soft skills.

Given the importance of estimating the demand for relief items in earthquake disaster, this research studies the complex nature of demand uncertainty in a vehicle routing problem in order to distribute first aid relief items in the post disaster phase, where routes are subject to disruption.

To cope with such kind of uncertainty, the demand rate of relief items is considered as a random fuzzy variable and a robust scenario-based possibilistic-stochastic programming model is elaborated. The results are presented and reported on a real case study of earthquake, along with sensitivity analysis through some important parameters.

The results show that the demand satisfaction level in the proposed model is significantly higher than the traditional scenario-based stochastic programming model.

In reality, in the occurrence of a disaster, demand rate has a mixture nature of objective and subjective and should be represented through possibility and probability theories simultaneously. But so far, in studies related to this domain, demand parameter is not considered in hybrid uncertainty. The worth of considering hybrid uncertainty in this study is clarified by supplementing the contribution with presenting a robust possibilistic programming approach and disruption assumption on roads.

This study aims to design a proper supply chain network for the vaccine industry in Iran, which considers several features such as uncertainties in demands and cost, perishability of vaccines, wastages in storage, limited capacity and different priorities for demands.

This study presents a mixed-integer linear programming (MILP) model and using a robust counterpart approach for coping with uncertainties of model.

The presented robust model in comparison with the deterministic model has a better performance and is more reliable for network design of vaccine supply chain.

This study considers uncertainty in the network design of vaccine supply chain for the first time in the vaccine context It presents an MILP model where strategic decisions for each echelon and tactical decisions among different echelons of supply chain are determined. Further, it models the difference between high- and low-priority demands for vaccine.

This study examines which dimensions of a business environment are most important for attracting globally mobile self-initiated expatriates to a country. The authors use secondary data from the World Bank, the World Economic Forum, IMD and the World Population Review to test eight hypotheses involving six macro-contextual factors that prior studies suggest attract internationally mobile skilled professionals, such as self-initiated expatriates, to a country's business environment. The macro-contextual factors examined are socio-cultural, economic, natural, ecological, technological clusters and legal and regulatory.

The authors use secondary data from the World Bank, IMD, World Population Report and the World Economic Forum to test eight hypotheses concerning macro-contextual factors that attract self-initiated expatriates to a country's business environment.

The study finds that factors such as the ease of hiring foreign labor, the use of English, macroeconomic stability, the diversity of the workforce and the quality of life in a country positively influence the attractiveness of its business environment to self-initiated expatriates. The study also finds that a business environment's socio-cultural, natural, economic and legal and regulatory macro-contextual attributes make it attractive to self-initiated expatriates.

To reduce common source bias, the authors use secondary data from four sources to examine which of six macro-contextual factors make a sample of 63 national business environments attractive to self-initiated expatriates. This study is one of the few to examine the impact of business environments on global mobility.

The present study aims to examine the impact of social media marketing activities (SMMAs) on the adoption of food waste reduction behavior among Generation Z consumers within the restaurant service industry in Pakistan. The study focuses on the impact of social media advertisements and investigates the mediating influence of waste reduction intentions on actual behavior. This underscores the significance of contextual and emotional variables in comprehending consumer behaviors.

The study used a cross-sectional research methodology to examine the impact of SMMAs on the behavior of Generation Z consumers in Pakistan’s food service industry with regard to reducing food waste. A study was conducted to investigate the restaurant purchasing behaviors of a sample consisting of 449 individuals belonging to the millennial generation, often known as Generation Z.

The majority of variables related to SMMA, except for interactivity and personalization, were shown to have a positive impact on individuals’ intents to reduce food waste. The study observed a significant relationship between consumers’ intentions to decrease waste and their actual behavior in waste reduction. Furthermore, this relationship was shown to be influenced by the mediating role of waste reduction intention.

Examining how social media affects Pakistani Generation Z’s efforts to reduce food waste is what makes this study distinctive. According to the research, the majority of social media factors positively influence intentions to reduce waste. The relationship between intentions and actual behavior, which highlights the impact of social media campaigns and emotional aspects in promoting waste reduction, is one of the important conclusions.