Export is the backbone of business development in any industry and it plays essential role on the success of organizations. The objective of this study is to determine factors influencing on food industry for development of export activities. The study designs a questionnaire in Likert scale and distributes it among 247 randomly selected experts who were active in production of foods in city of Tehran, Iran. Using principle component analysis based on varimax rotation, the study detects six factors including social opportunities, international opportunities, customer orientation, business opportunities, new technologies, organizational capabilities, commercialization of ideas on the development of export markets.

This paper presents an empirical investigation to detect major barriers on developing nano technology in Islamic Azad University. The proposed study selects south Tehran branch as a pilot study, designs a questionnaire and distributes it among all 80 employees who work for this university. Cronbach alpha is calculated as 0.93, which is well above the minimum acceptable level. The study has executed the study in five different areas including financial resources, physical equipment, training and empowering human resources, organizational culture and outside organizational factors. The study has determined that physical equipment is number one priority followed by financial resources and training as well as empowering employees.

This paper presents a study on the effect of organizational justice on organizational citizenship and organizational commitment in Iran. The proposed study designs a questionnaire and distributes it among some employees of Islamic Azad University and, using structural equation modeling, we investigate the effect of organizational justice on organizational citizenship as well as organizational commitment. The study selects 142 people from 255 regular employees who work for the university and distributes the questionnaire designed in Likert scale. Cronbach alphas have been determined for organizational citizenship, organizational justice and commitment as 0.924, 0.94 and 0.73, which are well above the minimum acceptable level. The results indicate that procedural justice has the most effect on organizational commitment followed by interactive justice and distributive justice. In addition, obedience has the most influential effect followed by loyalty, partnership, innovation and behavior. Finally, the survey shows that organizational citizenship is influenced mostly by loyalty and partnership. In summary, the effect of organizational justice on organizational citizenship and organizational commitment has been confirmed.

Organizational performance is influenced by several factors including electronic services. In fact, electronic services play essential role on the performance of organizations with significant number of clients. The objective of this study is to determine factors influencing on intention to use electronic services on organizational performance in social service organization in Iran. The study designs a questionnaire in Likert scale and distributes it among 231 randomly selected employees who worked for social security organization in city of Tehran, Iran. Using principle component analysis using varimax rotation, the study determines six factors including culture, communication, customer, employee engagement, learning organization, service management, and usefulness of application, which influence the most on organizational performance.

This paper presents an empirical investigation to find the important factors influencing implementation of knowledge management in revenue agencies in Iran. The proposed study designs a questionnaire and distributes it among some experts and, using principal component analysis, the study detects important barriers for knowledge management implications. The study selects 170 people from 880 regular employees who work for revenue agency and distributes the questionnaire designed in Likert scale. Cronbach alpha has been determined as 0.70, which is well above the minimum acceptable level. In terms of knowledge management, the study determines six factors including support for creativity and innovation, knowledge sharing, trust, employee promotion plan, mission and training programs and they represent 66.57% of the described factors. In addition, in terms of barriers, job security, cultural issues, individual differences, infrastructure, organizational structure and lack of vision are the most important issues representing 61.98% of the factors.

Oxidation of alcohols to carbonyl compounds has become an important issue in the process industry as well as many other applications. In this method, various benzylic alcohols were successfully converted to corresponding aldehydes and ketones under transition metal-free condition using hydrogen peroxide in the presence of some amount of catalytic acidic silica gel. Silica gel is inexpensive and available. One of the most important features of this method is its short reaction time.

This paper presents a review of human resource planning methods, related techniques, and their effects on cellular manufacturing systems (CMS). In-depth analysis has been conducted through a review of 43 dominant research papers available in the literature. The advantages, limitations, and drawbacks of material transferring methods have been discussed as well. The domains of the examined studies include some of the important problems in staff planning, such as worker assigning, hiring and firing, optimum number of workers, skilled workers, cross-functional experts, worker satisfaction and outsourcing. The results of this study can fill research gaps and clarify many related questions in CMS problems.

This paper presents an empirical investigation to study the relationship between employee performance and TQM. The proposed study of this paper designs two questionnaires for TQM and performance measurement and distributes them among some employees who worked for one of Iranian banks in city of Semnan, Iran. The result of Kolmogorov–Smirnov test confirms that all data are normally distributed and the study uses Pearson correlation to investigate the relationship between various components of the survey. The result of the implementation of Pearson correlation ratio indicates that there was a positive and meaningful relationship between employee performance and TQM components (r=4.6223, P-value=0.000). In addition, there are some positive and meaningful relationships between TQM components and employee performance. The highest correlation belongs to relationship between employee performance and feedback (r=4.6223, P-value=0.000) followed by training and development (r = 0.441, P-value = 0.000) and communication (r = 4.2861, P-value = 0.000).

Loading and unloading operations for Stock Keeping Units (SKUs) in warehouses are critical to logistics management systems. However, these operations also have a significant impact on the environment, particularly in terms of carbon dioxide (CO2) emissions. As such, warehouse management must consider not only operational efficiency but also environmental impact. The reduction of CO2 emissions in warehouses is becoming increasingly important, both for legal compliance and to meet sustainability targets. In this article, we will emphasize the environmental impact of warehouse operations, particularly on CO2 emissions, and explore ways to minimize them while still maximizing warehouse performance. We will review various optimization models proposed to address this issue and highlight the importance of considering environmental objectives when designing warehouse operations. We will also describe a simulation study conducted to determine the Pareto optimal frontier for a warehouse design, considering transportation, space utilization, and CO2 emissions. The outcomes of implementing this simulation's results include reduced CO2 emissions and increased space utilization, which demonstrate the potential benefits of considering environmental objectives in warehouse design and management.

This paper investigates credit allocation policy making and its effect on economic development using bi-level programming. There are two challenging problems in bi-level credit allocation; at the first level government/public related institutes must allocate the credit strategically concerning sustainable development to regions and industrial sectors. At the second level, there are agent banks, which should allocate the credit tactically to individual applicants based on their own profitability and risk using their credit scoring models. There is a conflict of interest between these two stakeholders but the cooperation is inevitable. In this paper, a new bi-level programming formulation of the leader-follower game in association with sustainable development theory in the first level and data mining classifier at the second level is used to mathematically model the problem. The model is applied to a national development fund (NDF) as a government related organization and one of its agent banks. A new algorithm called Bi-level Genetic fuzzy apriori Algorithm (BGFAA) is introduced to solve the bilateral model. Experimental results are presented and compared with a unilateral policy making scenario by the leader. Findings show that although the objective functions of the leader are worse in the bilateral scenario but agent banks collaboration is attracted and guaranteed.