نشریه مدیریت نوآوری و راهبردهای عملیاتی
سال چهارم شماره 1 (پیاپی 13، بهار 1402)

Value creating through technology learning in corporation level, has been very remarkable in recent years, because three important reasons of paying attention to wealth making subject, development of technological abilities and creating competitive advantage has been converted to the strategic topics of corporation. The aim of this research is to define and prioritize the factors affecting on technology learning levels in Isfahan state corporations level.

Statistical population, are 104 corporations which are active in industrial context that examine the quintet assumptions by accumulating needed data by the use of a questionnaire with standard components and reliability coefficient of 0.845.

Regarding the results, it is demonstrated that four studied level in a structural equations model, have been truly explained technological learning levels in Isfahan state corporations level, and each one has been affective straightly on mentioned process. Accordingly, the straightest effectiveness related to average level (0.78), basic level (0.67) and global level (0.65) are respectively in next degrees of importance and also each of these affective factors on these levels have been discussed.

Originality/Value:

 According to the results, there are recommendations for managers to improve the levels of technology learning at the enterprise level, and how to pay attention to the identified factors to learn.

The purpose of this study is to identify and analyze the factors affecting the satisfaction of those present in war tourism trips that visit the operational areas of the holy defense in the south of the country in the form of travels of the Path of Light in order to adjust the effective factors in accordance with these findings. On quality, he made sustainable decisions.

In the first phase of this study, interviews were used to identify factors affecting visitor satisfaction and factors affecting travel quality. The identified factors affecting visitor satisfaction have been validated using a questionnaire distribution and factor analysis, and finally, based on these criteria and using a performance expansion matrix, the factors affecting the quality of these trips have been ranked.

This study, while identifying a list of factors affecting the satisfaction of tourists and measures affecting the quality of travel, showed that as the most important factor affecting the satisfaction of tourists, they tend to have more access to entertainment and leisure in order to enjoy more. The involvement of most other institutions and organizations and the use of their subtleties was also identified as the most important qualitative factor influencing the research.

Originality/Value:

 The issue of quality management in tourism still needs more scientific attention. The use of quality science development method has been able to translate the call of visitors as war tourism customers to understandable concepts for the relevant organizations and help them make appropriate decisions and remain faithful to their decision.

Standard Data Envelopment Analysis (DEA) models measures the efficiency of Decision Making Units (DMUs) in a period of time. In real occasions, multi periods are presented. In presence of a multi-period system, overall efficiency depends on the performance of the DMU in all periods. That is to say, periodic efficiencies must be calculated, also, the overall efficiency is depended to periodic efficiencies. In other words, a DMU cannot be overall efficient, but considered as an efficient unit in each separate period. Hence, the question of pseudo inefficiency is raised?

This paper investigates Ratio-based Data Envelopment Analysis (DEA-R) models to detect pseudo inefficiency in multi-period systems.

The proposed algorithm consists of three steps. As the first step, the average of period-efficiencies is calculated, then the overall efficiency is evaluated as a block-box. For the last step, a ratio of two quantities is estimated. If this ratio is close to unity, there is no significant difference between these two quantities. Otherwise, the estimate claims pseudo inefficiency.

Originality/Value:

 In the literature, pseudo inefficiency has been detected through applying the periodic weights, but this paper proposes a three-step algorithm to investigate pseudo inefficiency. To elucidate the details of the proposed approach, a comparison is made between Kao and Liu [8] and the proposed algorithm to measure the efficiency of 22 Taiwanese commercial banks for the period 2009-2011. The results demonstrate the practicality and superiority of the proposed method in comparison with the existing multi-period models.

Nowadays, one of the multifaceted topics in monetary and banking studies is using finance of banks and credit institutions. The correct use of finance tools can have significant effects on financial markets development and economic growth. Considering that, the aim of this article is to prioritize available Islamic finance ways, policies and strategies in Ayandeh bank.

In this study, it has been used to prioritize 12 Islamic banks finance ways by focusing on three criteria of attractiveness and efficiency of the financing method (demand side acceptance commitments), executive capacities (Supply-side institutional compatibility commitments) and macro-environment (Bank macro environment). In addition, there have been collected 30 experts in the field of investment and finance of Ayandeh Bank. Also, it has been used AHP approach.

The results shows that the foreign currency and Rial deposits have the highest priority, also, buying and selling debts, securities, guarantees and agency have the lowest priority. At the end, a competitive strategy model with the SWOT methodology is proposed for the Islamic finance of Ayandeh Bank to synchronize Ayandeh Bank policies with Iran’s business cycles.

Originality/Value: 

Due to the prioritizing Islamic financing methods in Ayandeh bank, these results help bank’s managers for making more appropriate decisions to achieve the bank's goals. Furthermore, the proposed competitive strategy model for Islamic financing provides a suitable model for their future plans regarding synchronizing the bank's future policies with Iran's business cycles.

Due to the outbreak of Coronavirus 2019 and the need for social distance, virtual education and online exams have replaced face-to-face education. Thus, the prevalence of corona has led to the consideration of virtual (electronic) education as a necessity in many countries. The purpose of this study is to investigate the effect of virtual education on students' learning. In this research, library information was collected using written and electronic scientific texts. Also, the researcher has considered a questionnaire with 55 questions and 15 components in order to assess teachers 'views and opinions on students' learning in virtual education. In this study, the first secondary schools of Birjand city have been considered and 240 teachers have been selected as a sample. The data collection method was an online questionnaire and sampling was done randomly. SPSS and pls software have been used to analyze the information. Analyzes show that virtual education has no significant effect on students' learning (P ≤ 0.05). However, virtual education has a negative impact on religious growth and moral development, economic and professional education, scientific and technological development, social and political education, biological and physical education, teacher role, educational environment and evaluation. Virtual education has a positive effect on the appropriateness of content and resources, the role of family and environment, the role of information and communication technology and smart tools, the role of educational materials and training time. It seems that despite the advantages of virtual education over face-to-face education, virtual education has no effect on students' learning and the best educational method is a combination of both methods. Due to the fact that in the context of the corona virus epidemic, educational classes are conducted virtually and students experience this educational method, so the study of the effect of virtual education on students' learning seems important and necessary. This article examines the impact of e-learning on various components of students' learning . The results of the study can be used for education experts, teachers and school principals.

The main purpose of this study was to determine the level of occupational stress and job satisfaction in faculty members among university faculty members in Tehran and to investigate the relationship between these two indicators.

Present study is practical, observational, cross-sectional, descriptive, and analytical research. The statistical sample included 52 faculty board members. The research methods were the Demographic, Job Descriptive Index (JDI) and Job Stress (Steinmetz) Questionnaire. In order to data analysis, descriptive statistics and analytical statistics have been used.

The findings showed that there was a significant negative correlation between job satisfaction and job stress. This means that if job satisfaction increases, stress decreases and vice versa. The results indicated moderate job satisfaction. The faculty board was significantly satisfied with the nature of the job, Direct supervisor, and colleagues, but they were significantly unsatisfied with income. The range of Job stress in the faculty board was almost low. Faculty board with Academic Rank of “Full Professor”, have shown more job satisfaction and the faculty board with Academic Rank of “Associate Professor”, have shown less job satisfaction.

Originality/Value: 

The faculty board of the university have a great role in cultural development promoting the knowledge level of the future workforces. Thus, we must try in order to promote job satisfaction indicators, and also reduce job stress in their community and by implementing the identified solutions, Organizational Excellence through consideration to the Academic board, which are the assets of the country, are provided.

Financing of industrial investment projects and schemes is one of the main concerns of the management of economic enterprises. Therefore, it is necessary to consider different considerations in forecasting resources and costs. Long-term industrial investments are usually exposed to various risks.

This research is a type of developmental research in terms of type. In this study, sampling was done theoretically using targeted techniques (judgment) and snowball and based on interviews (until theoretical saturation). For data analysis, Strauss and Corbin method and paradigm model and MAXQDA software were used.

After analyzing the interview data, by determining the causal conditions (risky investment, appropriate financing model, management capabilities, company size, capital structure, government laws and policies) Underlying conditions (financial issues, infrastructure, political and legal factors), interventionist conditions (social capital, available resources and facilities, liquidity variables), central category (value creation, public-private partnership financing, development Technology), strategies (borrowing, investment, microfinance, foreign financing, domestic financing, Islamic financing) and consequences (efficiency and effectiveness of industrial units, improving competitiveness, job creation) , The model of financing development for investment in industrial estates has been extracted.

With the help of this model and its step-by-step implementation, Iranian towns and industrial areas can take advantage of its benefits and improve their competitive position and increase productivity in their organization.