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This paper aims to identify factors that influence the outcomes of academic entrepreneurship at the University of Tehran.

The research questionnaires were randomly distributed, and 95 individuals, including professors and experts in the field of academic entrepreneurship at the University, answered the questions. The population was estimated to include 150 subjects; 100 questionnaires were distributed totally; and 95 questionnaires were finally collected.

The results obtained from the data analysis indicate that institutions (formal and informal) and organizational factors (resources and capabilities) have a significant impact on the success of academic entrepreneurship. In addition, the results from an effect size analysis revealed that capabilities and informal resources have the strongest impact on the academic entrepreneurship outcomes. Limitations and directions for future research are provided at the end of the study.

It is a pioneering work that identifies the factors that influence academic entrepreneurship outcomes at the University of Tehran in a specific context such as Iran. Guerrero and Urbano’s (2012) entrepreneurial university model, which is built on the theory of institutional economy (North, 1990) and the resource-based view (Barney, 1991), has been adapted as the theoretical framework.

Entrepreneurship development is known as a key enabler of economic development, hence it has been contemplated in the strategic plans of various countries. Iran is no exception in that regard, since developing entrepreneurship has been emphasized in the country's third and fourth development plans, in order to tackle the increasing rate of population growth and unemployment. Now, as the fourth development plan has come to its end, it is necessary to evaluate the policies and programs related to entrepreneurship. The purpose of this paper is to assess the entrepreneurial development plans of this important Middle East country to provide a benchmark of influential policies on entrepreneurship development at both macro and micro level and to evaluate them accordingly.

Quantitative methods, namely survey and questionnaire distribution among experts dealing with entrepreneurship subjects have been used as the main method for data collection.

The results reveal that influential entrepreneurship policies at both macro and micro levels are not generally forward‐looking and supportive of entrepreneurship development. Therefore, some suggestions have been provided to develop these policies.

The paper presents findings of research which come from a rapidly‐growing, developing country, which can provide better insights from a less‐explored context and further add to the body of knowledge.

The purpose of this study is to analyze the factors affecting startup development and the entrepreneurship ecosystem's contribution to it.

A quantitative methodology is used for data collection from different startup owners working across Pakistan. It is a cross-sectional descriptive study, which investigates the causal effect of variables at a definite point in time. Non-probability convenient sampling was used for selecting available startups from the incubation centers. The sampling framework consists of the founders of the startups that have been previously incubated at any of the selected incubation centers.

Regression analysis results from 165 responses of entrepreneurs and incubation centers demonstrate that the most important factors affecting startup development were financial access, government support, marketing challenges, education, technology and managerial skills in order of occurrence. Entrepreneurship ecosystem also proved to have a very positive impact on the relationship of these factors with startup development.

In this paper, the factors that affect the development of startup are analyzed and recommendations are provided.

This research is comprehensive, as we have collected data from actual entrepreneurs and incubation centers to explain how entrepreneurs initiate their startup business by considering their managerial skills. As such, this study is unique in that the data comes from newly developed incubations centers in one of South Asia's fastest-growing economies.

Dynamic planning and scheduling forms a widely adopted smart strategy for solving real-world problems in diverse business systems. This paper uses deductive content analysis to explore secondary data from previous studies in dynamic planning and scheduling to draw conclusions on its current status, forward action and research needs in construction management.

The authors searched academic databases using planning and scheduling keywords without a periodic setting. This research collected secondary data from the database to draw an objective comparison of categories and conclusions about how the data relates to planning and scheduling to avoid the subjective responses from questionnaires and interviews. Then, applying inclusion and exclusion criteria, we selected one hundred and four articles. Finally, the study used a seven-step deductive content analysis to develop the categorisation matrix and sub-themes for describing the dynamic planning and scheduling categories. The authors used deductive analysis because of the secondary data and categories comparison. Using the event types represented in a quadrant mapping, authors delve into where, when, application and benefits of the classes.

The content analysis showed that all the accounts and descriptions of dynamic planning and scheduling are identifiable in an extensive research database. The content analysis reveals the need for multi-hybrid (4D BIM-Agent based-discrete event-discrete rate-system dynamics) simulation modelling and optimisation method for proffering solutions to scheduling and planning problems, its current status, tools and obstacles.

This research reveals the deductive content analysis talent in construction research. It also draws direction, focuses and raises a question on dynamic planning and scheduling research concerning the five-integrated model, an opportunity for their integration, models combined attributes and insight into its solution viability in construction.

The purpose of the study is to conceptualize the model of the predictors of consumer willingness to purchase green products. This study used the underpinning theories related to consumer willingness by integrating the green concept in deriving the consumer willingness to purchase green products. Based on the underpinning theories of marketing strategies, it was found that marketing mix was still fundamental in business. Therefore, green marketing mix was proposed to describe the consumer's green purchase willingness. Furthermore, corporate social responsibility (CSR) plays an important role as the key to organizational strategy. Thus, CSR is also included in the proposed framework. As this is a conceptual paper, further empirical study needs to carry out to verify the proposed hypotheses. This study contributes to the market practitioners or entrepreneurs in terms of re-considering marketing mix and CSR in deriving customer willingness to purchase green products. This study extends the literature of behavioural intention by integrating green marketing strategies with CSR in determining consumer willingness to purchase.

Hypertension is the most common chronic disease throughout the world. Self-care is the key criteria in determining the final course of the disease. However, the majority of elderly people do not observe self-care behaviors. The purpose of this paper is to analyze the experiences of elderly people with hypertension in order to understand the barriers of their self-care behaviors.

This is a qualitative study with a conventional content analysis approach conducted in Tehran, Iran in 2017. Data collection was done among 23 participants – 14 elderly people; 6 cardiologists, geriatric physicians and nurses working in the cardiovascular ward; and 3 caregivers – who were selected by purposeful sampling. Using semi-structured, face-to-face interviews, data collection was continued until data saturation.

Three main categories, including attitude limitations, inefficient supportive network and desperation, all showed barriers to self-care by the experiences of elderly people with hypertension.

Lack of knowledge of the disease and its treatment process is one of the main barriers to self-care in elderly people with hypertension. Deficient supportive resources along with economic and family problems exacerbate the failure to do self-care behaviors.

One of most important tools for lean production is value stream mapping (VSM), which identifies and reduces errors, losses, waiting time and improves value adding time, leading to enhanced product quality through empowering production unit in terms of production risk and cost reduction in the long term. This paper aims to present a general concept for production flow, such that value stream can be fully understood. For this purpose, this research investigates the effect of value stream on operational losses and analyzes the process that has been conducted in preview step operationally, using the discovered pattern.

In this research, related processes were evaluated after the review of the relevant literature and after extracting operational basics of lean approach using a questionnaire, such that all factors affecting operational losses and VSM were assessed. Then comparison between the result of current state map and the result of future state map were done and analyzed. Cronbach’s alpha was calculated to test the designed questionnaire’s reliability, which resulted in an acceptable level of 0.845. The structural equation modeling method through SPSS and Smart–Partial Least Square was applied to analyze the data and test the hypotheses.

The results reveal that implementing required changes and corrections will lead directly to production process improvement, which, in turn, results in higher customer satisfaction because of cost reduction and quality enhancement. Also, tests of the hypotheses confirm that VSM affects six operational losses, namely, equipment failures, set-up and changeovers, idling and minor stoppages, reduced speed operation, scrap and rework and startup losses.

Though this study was done in a single manufacturing company, the implementation of this study delivers important results that can be deployed in other such manufacturing companies.

This tool helps to identify loss points, make right decisions, and choose the best methods and lean tools for improvement. The surveyed company can integrate lean principles and tools and achieve better results using this tool. Also, this tool could be used to analyze the process and to define necessary changes before changing the process components.

This study contributes to the body of knowledge in manufacturing research as the study regarding the effects of improvement opportunities identified through VSM on operational losses is still something new.

In recent decades, managerial desire to use internal audit services to promote well-controlled organizational processes has significantly increased in the public sector. Yet, there is rare information on how internal audits may effectively be implemented in the public sector. The present research aims to design a comprehensive internal audit effectiveness model for the public sector.

This research is an applied mixed-methods (qualitative–quantitative) and descriptive survey study. The research population in both qualitative and quantitative sections included all internal and external audit managers and staff of Iraqi public organizations. The study sample of the qualitative section included 28 audit managers and staff selected using purposive sampling, and the study sample of the quantitative section included 399 individuals selected using convenience sampling. The data collection instruments in the qualitative and quantitative sections included semi-structured interviews and questionnaires, respectively. Data analysis was carried out using thematic analysis in Atlas.ti software in the qualitative section. Quantitative analysis and model validation were also performed using path analysis and structural equation modeling in Smart-PLS software in the quantitative section.

The results of the qualitative section led to the identification of 38 effectiveness factors among seven main categories, which were finally presented in the form of a comprehensive model. The main categories included the communication between internal and external auditors, granting independence and authority to internal auditors, providing specialized human resources, providing technological resources, developing management support, strengthening organizational culture and developing audit plans. In the qualitative section, the model was validated and confirmed. Quantitative results further showed that the compilation of audit plans and the development of management support were the most important factors.

The present study contributes to the literature by providing a comprehensive framework on internal audit with an emphasis on resource-based theory and reducing the research gap in the field of agents influencing internal audit efficacy in the public sector of developing countries. Further, the study provides insights into an under-studied developing country, Iraq.

This study aims to investigate the impact of job rotation on employee performance and explores the mediating role of human resources (HR) strategy and training effectiveness on this relationship, within the petrochemical industry, which represents a highly specialist and hazardous industrial context.

Data was collected through a questionnaire which was distributed among the experts working in an Iranian petrochemical organization. Previously validated scales were used to measure job rotation, employee performance, HR strategy and training effectiveness, and partial least squares structural equation modeling was used for hypothesis testing.

The research findings indicated that job rotation had a negative effect on employee performance, while training effectiveness and HR strategy positively mediated the relationship between job rotation and employee performance. This highlights the importance of ensuring effective training and a HR strategy to support job rotation of skilled and specialist employees.

Managers of employees in specialist and hazardous industries, such as petrochemical workers, interested in job rotation to support employee career development, should be mindful of potential negative implications on employee performance. To support and improve employee performance, job rotation should be considered alongside HR strategy and training.

Previous research has largely focused on the value of job rotation to develop managers’ organizational understanding and to reduce injury within blue-collar work, which has led to a paucity of research into job rotation within highly skilled and specialist industrial roles. It is highlighted within the literature that it remains unclear what supports effective job rotation. This study addresses this lacuna by investigating how job rotation affects employee performance in a highly skilled and specialized industry and how strategy and training effectiveness mediate this effect.