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The purpose of this paper is to find and prioritize human factors affecting entrepreneurial resilience.

The statistical population consists of prominent Iranian university professors in this field, and the statistical sample is ten of them randomly. A researcher-made questionnaire was used for data collection. After a comprehensive review of the theoretical foundations, the research model was formed with 5 main indices and 21 sub-indices. Fuzzy decision-making trial and evaluation laboratory (DEMATEL)-based (DANP) technique and MATLAB software was used for analysis.

Indicators of Values and Beliefs (A3) and Motivation Index (E5) as Influential Indicators and indicators of personal attributes (S1), formal and informal relationships (R²) and human capital (C4) are effective indicators of entrepreneurial resilience. In the final rankings, formal and informal relationships had the highest weight with 0.263 and the lowest with priority and motivation index with 0.080. In addition to the final rankings of the sub-indices, the indicators of first-hand experience, recognition of opportunities and consulting services were given the highest weight.

This study proposes that resilience is a real-life process and not just a list of each characteristic. All human beings have an innate ability to be resilient, but resilience is a learned and learned behavior, and the emphasis of experts is on the learning of various resilience skills.

This study contributes to the field of entrepreneurship by examining the institutional backgrounds of entrepreneurship resilience.

Retirement is a preparation for transitioning from one role to another and transitioning to a new stage of life. The deepening aging of the population encourages the policymakers to start the Bridge Employment plan when the society faces the unprecedented challenges of decreasing labor supply, heavier burdens of retirement and slow economic growth. The purpose of this study, the decision model for Bridge Employment has been developed by systematically reviewing the research literature.

A bibliometric analysis was conducted to cover publications on Bridge Employment for Return to Work published from 1994 to 2023, including a total of 1,936 publications collected from the Web of Science and Scopus. The patterns and trends in terms of sources of publications, intellectual structure and major topics were analyzed.

After carefully examining the results of the selected studies, three categories of individual (micro level), organizational (medium level) and contextual (macro level) factors were identified as effective factors on bridge employment and model development. Each of the mentioned factors, along with the legal, financial, managerial, educational-administrative and consulting requirements, form the basis for the development of the model and decision framework for Paul’s employment.

This model can be a basis as a framework for bridge recruitment planning so that organizations can once again use their skills–knowledge–expertise in different jobs and even training younger people.

This study explores the effect of organizational identification (OID) on organizational innovativeness (OINN) in universities and higher education institutions (HEIs) of Iran, mediated by organizational risk-taking capability (ORTC).

A questionnaire was designed and distributed in universities and HEIs in three geographical regions of Iran. The sample includes deans of faculties, their assistants, and heads of departments, and heads, assistants, and employees of research and education offices. The authors determined the reliability and validity of the scales and used structural equation modeling to develop the conceptual model and to test hypothesized relationships.

The results show that the OID has a positive impact on the ORTC and OINN in universities and HEIs of Iran. Furthermore, the ORTC played a partially mediating role between the OID and OINN.

This study can lead to a theory of the effect of the OID on the OINN in higher education (HE) system, mediated by the ORTC. It can support practitioners working in the HE system as they create a climate that welcomes uncertainties, ambiguities, failures and mistakes in a risk-taking spirit and develop an innovation culture open to new things and generate ideas. Such a culture is rooted in a distinct organizational identity. The researchers recommend that the promising results of this study be pursued in a larger sample and also in universities and HEIs of other countries.

This study develops an understanding of the role of the OID with the university in fostering, enhancing and embedding the ORTC into university, and as a result, promoting its innovativeness culture.

The purpose of this study is to examine talent management process in a region that has been influenced by Eastern culture.

This research is a multiple case study of six MNCs in Asia. Cross-cases analysis was used to reveal differences and similarities. The data were collected through phone interviews with HR managers and written communications as well as organizations’ websites.

The studied companies were dealing with several challenges regarding talent management process, including challenges of attracting and retaining talent, tension between subsidiaries and headquarters, tension between high potentials and non-high potentials and tension between generations. These companies’ strategies for addressing these challenges were also identified and discussed.

This paper revealed talent management orientation, the approach toward and definition of talent and context-specific issues regarding talent management of the selected companies in a region in which this topic has not been sufficiently studied in the past.

Nowadays, in many organizations, products are not delivered instantly. So, the customers should wait to receive their needed products, which will form a queueing-inventory model. Waiting a long time in the queue to receive products may cause dissatisfaction and churn of loyal customers, which can be a significant loss for organizations. Although many studies have been done on queueing-inventory models, more practical models in this area are needed, such as considering customer prioritization. Moreover, in many models, minimizing the total cost for the organization has been overlooked.

This paper will compare several machine learning (ML) algorithms to prioritize customers. Moreover, benefiting from the best ML algorithm, customers will be categorized into different classes based on their value and importance. Finally, a mathematical model will be developed to determine the allocation policy of on-hand products to each group of customers through multi-channel service retailing to minimize the organization’s total costs and increase the loyal customers' satisfaction level.

To investigate the application of the proposed method, a real-life case study on vaccine distribution at Imam Khomeini Hospital in Tehran has been addressed to ensure model validation. The proposed model’s accuracy was assessed as excellent based on the results generated by the ML algorithms, problem modeling and case study.

Prioritizing customers based on their value with the help of ML algorithms and optimizing the waiting queues to reduce customers' waiting time based on a mathematical model could lead to an increase in satisfaction levels among loyal customers and prevent their churn. This study’s uniqueness lies in its focus on determining the policy in which customers receive products based on their value in the queue, which is a relatively rare topic of research in queueing management systems. Additionally, the results obtained from the study provide strong validation for the model’s functionality.