Journal of New Applied Studies in Management, Economics & Accounting
Volume:6 Issue: 3, 2023

This research was conducted to explore the crucial factors influencing employee performance in the work environment. The variables under consideration were work discipline, job satisfaction, and work supervision, as they were believed to have a significant impact on employee performance PT. SPN Sidoarjo, Indonesia, aimed to enhance employee performance to attain better company objectives. Therefore, this study sought to provide a deeper insight into the relationship between work discipline, job satisfaction, work supervision, and employee performance. The research employed a quantitative approach, utilizing multiple linear regression analysis. A total of 50 employees from the company participated in the study. Data analysis was carried out using the SPSS program. The research findings indicated that all independent variables (work discipline, job satisfaction, and work supervision) had a positive and significant influence on employee performance, both individually and collectively. This article contributes to a comprehensive discussion on the implications of work discipline, job satisfaction, and work supervision on enhancing employee performance.

The purpose of this research is to investigate the periodic relationship between risk and return using the two-variable model approach. The current research is of a descriptive type and in terms of purpose, it is in the correlation-regression research category. EViews9 and Excel software are used to analyze data and extract research results. The information related to the companies admitted to the stock exchange during a 5-year period have been analyzed to examine the relationship between the variables to test the research hypotheses. The research results showed that there is no significant relationship between the expected return based on BARR and conditional variance based on BARR. The significance level for all explanatory models is greater than 0.05. Therefore, it can be claimed that there is no significant relationship between the achieved return and the conditional variance based on the single-variable MAR model. Also, the durbin watson test confirmed the autocorrelation error of the model. Also, there is no significant relationship between the achieved return and the conditional variance based on the BMAR model. The significance level for all explanatory models is greater than 0.05. Therefore, it can be claimed that there is no significant relationship between the achieved return and the conditional variance based on the single-variable MAR model. Also, the durbin watson test confirmed the autocorrelation error of the model.

Recently, governmental legislations, limitation of natural resources and adverse effects of End-of-Life products on ecological system have spurred researchers to design closed-loop supply chains. Natural gas has been used globally as a transitional fuel for supporting a green-energy-supply strategy, which has been questioned for the intermittence and lack of reliability of renewables. Natural gas has a complex and large supply chain including fields, processing plants, transmission pipelines, and distribution centers, etc. This article develops a theoretical conceptualization of supply chain uncertainty, based on the foundation provided by contingency theory. However, a qualitative analysis of the uncertainties and their sources is missing. Therefore, in this paper the authors propose an empirical approach to the identification of uncertainty occurring in the closed‐loop supply chain of Natural Gas Supply Chain (uncertainty in supply, process, demand, control, and environmental uncertainty). The investigation methodology consists of a content analysis of press media documents related to natural gas industry. Consequently, the evidences of uncertainty found are classified in a spectrum between statistical uncertainty and total ignorance (levels of uncertainty). In order to remain competitive in the market, firms are forced to expand their product offerings and offer high levels of customization, bringing about high uncertainty in their supply chain.

The purpose of this research is to investigate the relationship between the social responsibility of human resources management and the organizational citizenship behavior of employees of private companies in Fars province with the moderating role of responsible leadership. The statistical population of this research is more than 100 thousand people and the statistical sample using Morgan's table is 384 people. Information is collected by library, field and internet methods. In this research, using correlation and regression methods, with spss software and structural equations with smart-pls software, the relationships between research variables are tested. The results of the research showed that responsible leadership is one of the most emerging and compensated leadership styles to promote the credibility of an organization and maintain the sustainable development of the organization and society. Organizational citizenship behavior describes employee behavior related to environmental protection that is not controlled by any organization's formal reward system. Basically, it is the voluntary behavior of employees that is directed towards environmental protection, and it represents an operational supplement for people's environmental protection behavior and organizations' green growth approaches. Responsible leadership positively and significantly affects organizational citizenship behavior. Psychological ownership plays a mediating role in the relationship between responsible leadership and organizational citizenship behavior, environmental commitment of employees plays a moderating role between responsible leadership and psychological ownership and organizational citizenship behavior. Responsible leadership creates a sense of responsibility and encourages employees to adopt environmental protection behavior.

The current research was conducted with the aim of investigating the impact of information systems and non-financial information on the company's success. In order to achieve this goal, the statistical population of the research included the managers of companies located in Mashhad, of which 60 people were selected as a statistical sample using convenience sampling, and a researcher-made questionnaire was provided to the statistical sample, and after demographic analysis. The research was done using descriptive statistics and some descriptive indicators of the research variables, as well as the factor analysis technique using Spss26 statistical software, and the construct validity of the variables and their resulting indicators using the factor analysis test. Confirmation was investigated and finally, the research hypotheses were tested using Pearson's correlation test. The results of the hypothesis test showed that all the hypotheses are confirmed.

In order to investigate the impact of a technology on the business model, it is necessary to examine the characteristics of that technology and how to use those characteristics in order to benefit from opportunities and deal with threats, so the purpose of this research is to investigate the characteristics of blockchain on financial innovations. The statistical population of this research is more than 100 thousand people and the statistical sample using Morgan's table is 384 people. Information is collected by library, field and internet methods. The validity of this questionnaire was confirmed by experts and supervisors. Also, the measuring tool is a questionnaire. The questionnaire was designed by Latman (2016) and has 36 questions. Data analysis software is the Spss software package. A 5-point Likert scale was used for the questionnaire. The research results showed that some of the key features of blockchain technology will have a direct impact on the banking industry. These key features include dynamism, identity preservation, information security, lower cost, time saving, trust building, decentralized and impenetrable blockchain technology and financial innovations and value transfer in banking. Each of these features will affect different aspects of the business model.

The aim of this study, investigating the role of institutional ownership on the effect of the CEO's overconfidence on the risks of companies listed on the Tehran Stock Exchange. The statistical sample includes 82 companies during the period of 2012 to 2021. Hypotheses testing was performed using linear regression and using Eviews software. The research results showed that the CEO's overconfidence has a significant and direct effect on the company's future risk, but the CEO's overconfidence does not have a significant effect on the company's operational risk. Also, other research results show that institutional ownership reduces the effect of CEO's overconfidence on the company's future risk, while institutional models do not moderate the effect of CEO's overconfidence on the company's operational risk

This research was conducted with the aim of investigating and presenting a social media marketing model for businesses (case study: organic advertising of web links on Instagram). The method of this study has been descriptive of the correlation type in terms of implementation method. The community of this study is the managers of industrial companies in Baghdad, which include; He is the managing director, chairman of the board of directors, technical officer and quality control manager, commercial manager and factory manager. Among the 775 people of the community of managers, 258 people have been selected as a sample using Cochran's formula. Random sampling method is available. The information was collected by library and field methods and a standard questionnaire was used to collect the information. Statistical data analysis tools in this study include SPSS and SMART PLS. The results of the research show that the influence of the scope of social media use on the social media marketing of businesses is positive, and the influence of the culture of using social media on the social media marketing of businesses is positive. The effect of the structure of social media use on the social media marketing of businesses is positive, and the influence of the governance of social media use on the social media marketing of businesses is positive. In general, the results of research in the field of business and management emphasize empowerment and creating open communication channels.

Corona virus pandemic deeply affected many households and economical enterprises. The latter included various aspects such as economic, social, life and businesses. The aim of this research is to investigate the effect of Covid-19 on household’s tendency toward online shops and services. The current quantitative investigation focusses on households living in Tehran at the date. Various opinions of these households on the most dominant platforms available for shopping and services were deeply analyses. To gather data, we used a structured questionnaire. The investigated statistical society contains households living in Tehran during the pandemic (2020-2022) and were a member or a customer of virtual platforms. The data was processed using SPSS software and revealed that household’s tendencies toward virtual platforms and online shops were massively increased. Also, among the platforms, Digikala was found to be the most attractive one. Most of the online shops and replacements were regarding foods and common household needs. It was also notices that the educational level increases the tendencies toward virtual platforms. Also, households did not uniformly pursue their requirement through virtual platforms. The platform with most amount of visits was Digikala with around 68 percent of shops and the least amount of shops was devoted to Taghche with approximately 18 percent of shops. Our results show that among virtual service replacements, online taxis (Snap, TapC, etc.) were dominant with 43 percent and appliance repairmen with 8.3 and hotel reservation with 6.5 percent were among the least

The position of ethics of any profession is vital for its acceptance in the society. Ethical behavior is defined as a good behavior that morally puts "right" against "bad" or "wrong" in certain groups. The recent scandals of some of the world's largest companies have increased the expectation of auditors for strict and comprehensive compliance with ethical guidelines. The main purpose of this research is to rank individual factors affecting auditors' ethical behavior with an interpretive structural approach. This research is practical in terms of classification based on the goal, and it is a descriptive analytical research in terms of classification based on the method. The statistical population of the research includes the Iranian Association of Certified Public Accountants and the sampling of this research was done in a targeted manner and 20 experts were selected. Individual factors affecting the ethical behavior of auditors were first extracted from the literature and then the identified factors were ranked with the help of interpretive structural approach. The results of the research showed that age, upbringing and religion are the most important individual factors affecting auditors' ethical behavior, and the auditor's expertise and peers' influence are ranked lower in terms of importance.