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The purpose of this chapter is to solve multi-objective formulation for traveling salesman and transportation problems. Computations are based on real data for the road freight transportation of a Spanish company. The company was selected because of its importance in Spanish economy and market. This company is important in the whole country; however, it has its higher importance in the northern part of Spain. The requirements for these models are the minimization of total distance and the CO₂ emissions. To achieve this, it is required to know and carry out the minimization of the total distance traveled by the trucks during the deliveries. The deliveries are going to be executed between the different locations, nodes, in the region, and Elorrio, where the depot is situated. The data have been used to decide the best route in order to obtain a minimization of cost for the company. As it was mentioned earlier, the problems are focused on the reduction of the amount of CO₂ emissions and minimization of total distance; by studying different parameters, the best solutions of route transportation have been obtained. The software used to solve these models is CPLEX solver with AMPL programming language.

The purpose of this chapter is to optimize multi-criteria formulation for green vehicle routing problems by mixed integer programming. This research is about the road freight transportation of a Spanish company of groceries. This company has more power in the north of Spain and hence it was founded there. The data used for the computational experiments are focused in the northern region of Spain. The data have been used to decide the best route in order to obtain a minimization of costs for the company. The problem focused on the distance traveled and the altitude difference; by studying these parameters, the best solution of route transportation has been made. The software used to solve this model is CPLEX solver with AMPL programming language. This has been helpful to obtain the results for the research and some conclusions have been obtained from them.

Today’s world of digital and mobile media does not require actual physical contact, between the suitable target and the motivated offender, as with traditional crime. In fact, as Mesch (2009) contended that the internet is not merely an information channel but it creates a new space of activities for children, where they are exposed to motivated offenders and the actors of fourth party. Therefore, for the sake of children’s safety, the practice of parental mediation control is increasingly becoming more pertinent everyday. Thus, the purpose of this paper is to examine how parental mediation control in Sri Lanka is influenced by their internet self-efficacy, their experience as online victims and their trust in online users.

This paper uses a unique data set of computer and internet users from Sir Lanka to examine parental intervention in their children’s online activities. Specifically, the data set contains 347 responses from computer and internet users. To analyze the data, the authors use a binary dependent (probit) model.

The results show that such factors alter the baseline probability of parental intervention. However, some differences are found between younger and older parents, with the latter group responding more to trust in online users and victimization experience while the former is mainly driven from computer self-efficacy. In particular, the older group is less likely to trust online internet users in terms of never adding unknown persons in the social media. Finally, being self-employed and an older parent has a positive effect on the likelihood of adopting parental controls, possibly because of the non-pecuniary attributes of self-employment.

This study adds to the emerging parental mediation control literature by looking at the likelihood of younger and older parents who were victims of cybercrimes, who have greater internet self-efficacy and lower online third-party trust to adopt parental mediation control behaviors. Also another contribution to the literature is the role of occupation type on parental monitoring behaviors.

In this study, supervision and control of the possible problems among people over a large area with a limited number of drone cameras and security staff is established.

These drones, namely unmanned aerial vehicles (UAVs) will be adaptively and automatically distributed over the crowds to control and track the communities by the proposed system. Since crowds are mobile, the design of the drone clusters will be simultaneously re-organized according to densities and distributions of people. An adaptive and dynamic distribution and routing mechanism of UAV fleets for crowds is implemented to control a specific given region. The nine popular clustering algorithms have been used and tested in the presented mechanism to gain better performance.

The nine popular clustering algorithms have been used and tested in the presented mechanism to gain better performance. An outperformed clustering performance from the aggregated model has been received when compared with a singular clustering method over five different test cases about crowds of human distributions. This study has three basic components. The first one is to divide the human crowds into clusters. The second one is to determine an optimum route of UAVs over clusters. The last one is to direct the most appropriate security personnel to the events that occurred.

This study has three basic components. The first one is to divide the human crowds into clusters. The second one is to determine an optimum route of UAVs over clusters. The last one is to direct the most appropriate security personnel to the events that occurred.

Purpose – We delineate how the concept of reputation has been used in different literatures. We develop some formal definitions of observers and reputation that bring together the different literatures. We then ask how noncooperative or “bad” reputations might be repaired. Based on the developed definitions and past research, we suggest some possibilities for reconciliation. We also work on developing an experimental paradigm to investigate reputation.

Methodological/Approach – We review research from different disciplines, develop definitions, and design an experiment.

Findings – We suggest that, under certain conditions, group reconciliation can occur. However, these conditions are quite specific.

Practical Implications – When the goal is to solve a social dilemma, reconciliation is an important part of the process. Without reconciliation, group integration is problematic.

Social Implications – Reconciliation can be a powerful process that encourages cooperation. We suggest some ways that reconciliation might be possible.

Originality/Value of the Chapter – This chapter suggests a new formalization to connect different conceptualizations of reputations.

With the increasing awareness of global warming and the important role of last mile distribution in logistics activities, the purpose of this paper is to build an environmental and effective last mile distribution model considering fuel consumption and greenhouse gas emission, vehicle capacity and two practical delivery service options: home delivery (HD) and pickup site service (PS). This paper calls the problem as the capacitated pollution-routing problem with pickup and delivery (CPRPPD). The goal is to find an optimal route to minimize operational and environmental costs, as well as a set of optimal speeds over each arc, while respecting capacity constraints of vehicles and pickup sites.

To solve this problem, this research proposes a two-phase heuristic algorithm by combining a hybrid ant colony optimization (HACO) in the first stage and a multiple population genetic algorithm in the second stage. First, the HACO is presented to find the minimal route solution and reduce distribution cost based on optimizing the speed over each arc.

To verify the proposed CPRPPD model and algorithm, a real-world instance is conducted. Comparing with the scenario including HD service only, the scenario including both HD and PS option is more economical, which indicates that the CPRPPD model is more efficient. Besides, the results of speed optimization are significantly better than before.

The developed CPRPPD model not only minimizes delivery time and reduces the total emission cost, but also helps logistics enterprises to establish a more complete distribution system and increases customer satisfaction. The model and algorithm of this paper provide optimal support for the actual distribution activities of logistics enterprises in low-carbon environment, and also provide reference for the government to formulate energy-saving and emission reduction policies.

This paper provides a great space for the improvement of carbon emissions in the last mile distribution. The results show that the distribution arrangement including HD and PS services in the last mile adopting speed optimization can significantly reduce the carbon emission. Additionally, an integrated real-world instance is applied in this paper to illustrate the validity of the model and the effectiveness of this method.

The purpose is to study an analytical solution of non‐linear Korteweg‐de Vries (KdV) equation by using the Adomian decomposition method (ADM).

The solution is calculated in the form of a series with easily computable components. The non‐linear KdV equation has been considered and the analytic solution is compared with its numerical solution by using the ADM and Mathematica software program.

This approach to the non‐linear evolution equation was found to be valuable as a tool for scientists and applied mathematicians, because it provides immediate and visible symbolic terms of analytical solution as well as its numerical approximate solution to both linear and non‐linear problems without linearization or discretization.

This geometrical interpretation and the produced approximate solution of the non‐linear KdV equation illustrates the use of the ADM. Research using ADM is ongoing but already the numerical results obtained in this paper justify the advantages of this methodology, even in a few terms of approximation.

Using the Mathematica software package the ADM was implemented for homogenous KdV equation as an illustrative example which has distinct applications for scientists and applied mathematicians.

This is an original study of the use of ADM for the solution of the non‐linear KdV equation. It also shows how the Mathematica software package can be used in such studies.

This paper aims to explore the drivers of banking stability in the case of QISMUT+3 countries (Qatar, Indonesia, Saudi Arabia, Malaysia, United Arab Emirates, Turkey, Pakistan, Kuwait and Bahrain) focusing on social and governmental responsibility (SGR) determinants. Both main indicators of banking stability, namely, profitability and nonperforming loans, were treated as dependent variables. The model is examined with the whole sample and separately by examining commercial banks and Islamic banks.

Cross-country bank-level panel data spanning from 2011 to 2018 is used. Two-step system generalized methods of moments alongside both panel-corrected standard error and feasible generalized least squares models were applied to ensure the robustness of the results.

Findings reveal that capital adequacy and corruption control are the most dominant determinants of banking profitability in the studied sample regardless of the type of the bank. In addition, profitability, efficient management, inflation and government effectiveness were found to be the main drivers of financial vulnerability risk.

Findings of this study offer many insights and policy implications to help stakeholders gain a comprehensive understanding of banking stability. Suggested policy implications targeting bank management, governmental policymakers and investors are offered to better the banking stability of QISMUT+3 countries.

This paper has multiple contributions to the existing literature. The determinants of banking stability are examined in QISMUT+3 group of countries which is the focus of a limited number of studies. In addition, the use of a comprehensive variable set alongside the addition of SGR determinants in the case of banking system stability is one of the main contributions of this paper.

The issue of training and appointment of school administrators has consumed substantial attention from educational scholars for several decades. The literature has witnessed a growing amount of research effort in investigating and identifying the effective ways of training and appointing school principals. However, there are also political, social and cultural aspects to this endeavour, which potentially influences the practices pertaining to training and appointment of school principals. This chapter represents scholarly efforts to discuss issues on the training and appointment of school administrators in Turkey within its historical and political background. Thus, first, it focuses on the historical journey of the field of educational administration in Turkey. This journey has been categorised under three phases: The Ottoman Era, Early Years of Turkish Republic and the 1950s Onwards. Second, this chapter discusses school principalship in Turkey with a specific focus on political and legal dimensions. Finally, the chapter ends with an overall evaluation of the practices and policies pertaining to school administration curriculum in Turkey.

Today, e-government (electronic government) applications have extended to the frontiers of health-care delivery. E-Nabız contains personal health records of health services received, whether public or private. The use of the application by patients and physicians has provided efficiency and cost advantages. The success of e-Nabız depends on the level of technology acceptance of health-care service providers and recipients. While there is a large research literature on the technology acceptance of service recipients in health-care services, there is a limited number of studies on physicians providing services. This study aims to determine the level of influence of trust and privacy variables in addition to performance expectancy, effort expectancy, social influence and facilitating factors in the unified theory of acceptance and use of technology (UTAUT) model on the intention and behavior of using e-Nabız application.

The population of the study consisted of general practitioners and specialist physicians actively working in any health facility in Turkey. Data were collected cross-sectionally from 236 physicians on a voluntary basis through a questionnaire. The response rate of data collection was calculated as 47.20%. Data were collected cross-sectionally from 236 physicians through a questionnaire. Descriptive statistics, correlation analysis and structural equation modeling were used to analyze the data.

The study found that performance expectancy, effort expectancy, trust and perceived privacy had a significant effect on physicians’ behavioral intentions to adopt the e-Nabız system. In addition, facilitating conditions and behavioral intention were determinants of usage behavior (p < 0.05). However, no significant relationship was found between social influence and behavioral intention (p > 0.05).

This study confirms that the UTAUT model provides an appropriate framework for predicting factors influencing physicians’ behaviors and intention to use e-Nabız. In addition, the empirical findings show that trust and perceived privacy, which are additionally considered in the model, are also influential.