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Human genomic research (HGR) demands very large pools of data to generate meaningful inference. Yet, the sharing of one’s genetic data for research is a voluntary act. The collection of data sufficient to fuel rapid advancement is contingent on individuals’ willingness to share. Privacy risks associated with sharing this unique and intensely personal data are significant. Genetic data are an unambiguous identifier. Public linkage of donor to their genetic data could reveal predisposition to diseases, behaviors, paternity, heredity, intelligence, etc. The purpose of this paper is to understand individuals’ willingness to volunteer their private information in this high-risk/high-reward context.

The authors collect survey data from 273 respondents and use structural equation modeling techniques to analyze responses.

The authors find statistical support for our theorization. They find that while heightened awareness of the benefits and risks of sharing correlates with increased privacy concerns, the net impact is an increase in intention to share.

The findings suggest that prescriptive awareness might be an effective tool with which policy-makers can gain the sufficient voluntary participation from individuals necessary to drive large-scale medical research.

This study contributes a theoretically and empirically informed model which demonstrates the impact of awareness and privacy concern on individuals’ willingness to share their genetic data for large-scale HGR. It helps inform a rising class of data sufficiency problems related to large-scale medical research.

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.

The purpose of this study is to examine the influences of financial leverage, profitability, the growth of assets and institutional ownerships on the dividend payout of the Indonesian Government-owned companies.

Annual data from the period 2007 to 2013 of the 15 listed government-owned companies on the main board in the Indonesian Stock Exchange were analyzed using the multiple regressions.

Except for the growth of assets that has an insignificant effect on the dividend policy, the financial leverage and institutional ownerships were documented to have negative and significant influences on the dividend policy, while the profitability has a positive and significant effect on the dividend policy. These findings imply that the profitability, financial leverage and institutional ownership should be considered as the important factors by the Indonesian Government-owned companies in determining their dividend policy.

Originality in this paper is to establish a model of leverage, profitability, asset growth and institutional ownership of dividend payments of Indonesian Government-owned companies with a panel regression approach.

Managerial effectiveness is considered as an essential element for sustainable development and competitive advantage for organisations, and its core conceptualisation revolves around the capability of management to manage self, subordinates and relationships. However, very few research addressed this important phenomenon; this study aims to fill this gap by investigating the mediating role of Islamic work ethics between leadership styles and managerial effectiveness.

Data collection was done through a structured questionnaire, and the hypothesized relationships were tested with the help of SmartPLS.

Results of the statistical analysis showed that transformational and transactional leadership styles are positively associated with managerial effectiveness. Also, Islamic work ethics mediated the association between transactional leadership and managerial effectiveness, and however, no mediation effect of Islamic work ethics was found in the relationship of transformational leadership and managerial effectiveness

Although volumes of research have been conducted into the nature of management and leadership over the past 50 years or so, there have been significant shortcomings in terms of little attention having been given to the issue of managerial effectiveness, lack of generalizability of findings and lack of relevance and utility; thus, this study contributed to human resource management literature by providing a macro-level model to measure managerial effectiveness.

The purpose of this study is to investigate the effect of anarchist accounting (AA) on stakeholder relationship capability (SRC) in the context of Iranian capital market companies.

This study is based on a descriptive survey-correlation data collection method. As this study is on (AA) and (SRC) in Iran, the population of the study is made up of all financial managers and heads of the accounting department of capital market companies in Iran. Among 185 companies (Tehran Stock Exchange [TSE]), 100 companies were selected as samples which are all in the TSE. As suggested by Niles (2006), a minimum sample size of 10% of the population is generally acceptable. A questionnaire survey was adopted in obtaining primary data for this study. Thus, based on Cochran sampling techniques, 395 questionnaires were returned and became the basis of analysis. Also, partial least square was used to test the research hypothesis.

The statistical findings indicate the fit of the structural desirability of the factor load and according to the standardized coefficient (path coefficient), the dimensions of AA have a negative and significant effect on SRC, because the path coefficient is positive.

Theoretically, to the best of the authors’ knowledge, this study is the first research that tries to examine the stakeholder relationship capability through the link between social/political approaches with accounting procedures, an issue that has not been considered in any prior study. Also, conducting the present study in the conditions of social distrust in the Iranian capital market can be important, because the expansion of anarchist accounting helps to create a level of symmetry and equality in information disclosure and it can create value for shareholders.

COVID-19’s attack on the system of education left the learning of many students in limbo. For minimizing this effect, the current study sought to probe how Mobile-Assisted Language Learning (MALL) can facilitate English as a Foreign Language (EFL) learners’ vocabulary knowledge. In so doing, a quasi-experimental pretest-posttest research design was adopted to check the effect of a newly developed application (i.e. visual vocabulary learning, hereafter VVL) in an EFL classroom.

To complying with the objective, a number of intermediate students (N = 40) were considered to participate in the study. They were assigned into a visual learning group (VLG) and a nonvisual learning group (NVLG) comprising 20 students in each. The VLG was directed to learn vocabulary by a VVL, and the NVG, a conventional method was employed for vocabulary instruction. An independent samples t-test was run to screen the efficacy of the intervention.

The finding revealed that participants in the VLG outperformed significantly in the posttest. The finding is beneficial for EFL teachers, syllabus designers, and material developers to take advantage of mobile applications in teaching vocabulary.

This study was conducted during COVID 19 between two groups in Iran.

Building on the Lau and Murnighan’s theory of fault line strength, Flache and Mäs (2008b) proposed a computational opinion dynamics model to explore the effect of demographic fault line strength on team cohesion. This study aims to extend the Flache–Mäs (FM) model to incorporate geographical location and the dyadic communication regime in opinion formation process. More specifically, we make spatially proximate agents more likely to interact with each other in the dyadic communication regime. Our results show that when agents update their opinion after each pairwise encounter, opinion polarization is lower at steady state compared to when they update their opinion after interacting with all agents. In addition, if nearby agents are more likely to interact with each other, we see greater polarization compared to the FM model with the dyadic communication regime. An immediate policy implication of this result is that organizational managers should design work space in a way that encourage wider communications between members of a team and avoid geographically local communication.

We introduce our computational models to study the effect of location and the dyadic communication regime on team performance (as measured by agents’ opinions on various work-related issues) in the presence of a strong demographic fault line. Our models are extensions of the FM model. For clarification purposes, first we describe the FM model and then elaborate our extensions.

The most important finding of this paper is that the timing of interactions plays an important role in steady state of opinion space in a given population. The reason can be traced to the path-dependent nature of social systems, in which initial adopters of a certain opinion or an ideology can significantly change the final configuration of a population. For example, if an early adopter of a given work-related issue in an organization has an extremely positive view toward that issue, and s/he interacts with nearby employees who have similar demographic attributes, we would expect to find an extreme opinion cluster with respect to that issue after a while. However, depending on factors that affect the timing of interaction between individuals, we would expect different outcome in the same organization. If, for instance, more extreme people are more likely to interact, the results would be different compared to when moderate agents are more likely to interact.

One immediate policy implication of the results of this paper is that organizational managers should design work space in a way that encourage wider communications between members of a team and avoid geographically local communication, if they are to temper the negative effect of a strong demographic fault line. However, they should be cautious and take other related findings into account to avoid undesirable outcomes. For example, according to Flache and Mäss’s results, managers can also initially encourage discussion within demographically homogenous groups and avoid controversial work-related issues. In addition, previous studies showed that more contacts between agents may increase opinion polarization. Our results provide no evidence for more complex and modern organizational designs where individuals or teams do not have a fixed location or stable geographical pattern. For instance, in a modern car manufacturing shop floor, it is possible that workers have to move with cars, or operational engineers have to move between different sections and places. Furthermore, there may be a flexible and dynamic work schedule for workers such that they share a same work station but in different time, which requires a more complex model than what we presented in this paper. In this sense, the geographical setting analyzed in this paper should not be generalized to all organizations or companies. We also have no evidence about other critical factors that might affect the communication and activation regime of individuals. For example, one could imagine a case that workers with the same level of skill in a specific work-related issue are more likely to interact with each other. Moreover, some specific organizational structures could impose additional restrictions on who can/should interact with whom.

The purpose of this paper is to synthesize the manganese ferrite nanoparticle MnFe₂O₄ and to investigate the structure, size and to study the electronic and the magnetic properties of MnFe₂O₄ nanoparticles.

The co-precipitation method is used to synthesize the MnFe₂O₄. The structure and size were investigated by X-ray diffraction. The superconducting quantum interference device is used to determine the some magnetic ground. From theoretical investigation point of view self-consistent ab initio calculations, based on density functional theory approach using full potential linear augmented plane wave method, were performed to investigate both electronic and magnetic properties of the MnFe₂O₄. The high temperatures series expansion (HTSE) is used to study the magnetic properties of MnFe₂O₄.

The saturation magnetization, the coercivity and the transition temperature varied between 21-43 emu/g, 20-50 Oe and 571-630 K, respectively, have been studied. The gap energy of MnFe₂O₄ has been deduced. The critical temperature and the critical exponent have been obtained using HTSEs.

In the present work, the authors study the electronic and magnetic properties of MnFe₂O₄. The results obtained by the experiment and by ab initio calculations were used in HTSE as input to deduce other physical parameters.

This paper aims to propose a mathematical model for describing and clarifying the relationships among the indicators governing the social values of special customers in business-to-consumer (B2C) e-commerce systems. This mathematical model is also able to describe the degree of adaptability of e-commerce systems to the social values of specific clients, and commercial firms are able to use the parameters described in this paper to increase the versatility and has the power to trade with special customers in different areas.

In this paper, while analyzing the issue of trading from the point of view of the customer as an element of trading, the affecting factors the trading space have been extracted. These affecting factors are categorized in three major groups: culture, technology and customers. This classification is based on the e-commerce and developing the traditional commerce. Using the mapping functions, the effects of each element in these three spaces on the concept of social values have been analyzed. The result of this analysis is the mathematical model governing each parameter and its semantic relation with the concept of social value.

The presence of a mathematical model between the indicators influencing the model adaptability and social values space allows e-commerce system designers to be able to make decisions on the adaptability of the model with a quantitative approach. To examine the proposed mathematical models, important frameworks and patterns in the field of e-commerce have been analyzed with an Islamic approach, as one of the adaptations of B2C e-commerce model.

Regarding the innovation of the work, the case has been made, and the concept of social value and the model governing the elements of social values in this paper, in a B2C e-commerce model, has been discussed in general; the problem is parametric solved.

One of the key concepts in commerce is the ability of the commerce model to adapt to the requirements of special customers. This is more important in costumer-based e-commerce models. In these types of systems, if the commerce cannot match the customer’s characteristics, it will not be accepted and used by customers. This is especially more important in the field of social values for customers.

In this paper, a mathematical model is presented to examine the adaptability of e-commerce systems to the social values of special customers. In examining this model, the relationship between each element affecting the social value of specific customers and the factors affecting trade has been studied.

The purpose of this study is to explain the interrelationships between the elements of strategic thinking, technological change and strategic risks. The main objective of this research is to identify the hierarchy for the elements of thinking, technological change and strategic risk and also to identify the driving powers of these elements.

The methodology used in this study is modified total interpretive structural modelling and MICMAC analysis which gives the interrelationships and also the driving powers of the elements by analysing the relationships between the elements from the existing literature. This method helps us in answering/understanding the “what”, “how” and “why” of the research. Modified total Interpretive structural modeling is considered in this study, which helps in doing both the paired comparisons and transitivity checks simultaneously. A digraph is constructed at the end of the analysis, which shows the links between the elements, and a driver dependence matrix is constructed, which shows the driving powers.

This study gives an understanding of the role of the elements, the relationships between them and the hierarchy of addressing these elements, and also the driving and dependence power. Findings of this research give us an understanding of how strategic thinking/technological change/strategic drives the performance of the firm.

This study is conducted with the help of existing literature; this can be further extended by considering the expert opinion.

The model explains the direct and transitive links of the elements and the strength of the relation between them, which helps the researchers and the practitioners to understand the driving power and importance of these constructs. It also helps us to understand the role of these elements and, if implemented in an organisation, which elements need to be prioritised for enhancing the performance of the firm.

Research done in the past has individually analysed the elements effecting strategic thinking; this study identifies the relationships between the elements of all three constructs and helps in understanding the levels of hierarchy.