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Huge economic, social, political, and technological changes in recent decades have brought increasing complexity and decreasing predictability of organizations' environments. One of the solutions offered to deal with such environments is the agile approach to human resources. This research was conducted with the aim of investigating the driving factors in human resource agility based on government policies. The current research is developmental in terms of purpose and descriptive survey in terms of the method with a combined (qualitative and quantitative) approach. The research community in the qualitative part included professors, experts in the field of human resources, and senior managers of the human resources department, and in the quantitative part, the senior and middle managers of the country's tax affairs organization who had a bachelor's degree or higher. Relevant data were extracted from theoretical literature and semi-structured open interviews in the qualitative section. The tool for data collection was a researcher-made questionnaire in the quantitative part. The results of the qualitative part led to the identification of 13 main categories, which are categorized into four main clusters (The propellants of human resource agility, Human resource agility policies, operational components of human resource agility, and Results and Functions of human resource agility) and became a five-point Likert scale questionnaire. The results of confirmatory factor analysis showed that all items have a significant relationship with the structure and the proposed structural model has a good fit. The results of the path analysis showed that the operational components of human resource agility have a mediating role in the relationship between the drivers of human resource agility and the results and functions of human resource agility. Human resource agility policies have a mediating role in the relationship between the propellants of human resource agility and the results and performance of human resource agility.

Due to the rapid advancements in computer technology, researchers are attracted to solving challenging problems in many different fields. The price of rainbow options is an interesting problem in financial fields and risk management. When there is no closed-form solution to some options, numerical methods must be used. Choosing a suitable numerical method involves the most appropriate combination of criteria for speed, accuracy, simplicity and generality. Monte Carlo simulation methods and traditional numerical methods have expensive repetitive computations and unrealistic assumptions on the model. Deep learning provides an effective and efficient method for options pricing. In this paper, the closed-form formula or Monte-Carlo simulation are used to generate data in European and Asian rainbow option prices for the deep learning model. The results confirm that the deep learning model can price the rainbow options more accurately with less computation time than Monte-Carlo simulation.

The aim of this paper is to explore young people’s perceptions of spirituality as well as analyzing the role that spirituality plays in their wellness and travel. The work builds on previous studies that examined young peoples’ attitudes to spirituality, as well as research that examined cross-cultural differences in understandings of spirituality. The research draws on questionnaire data (a sample of 227) that was collected in two languages from young people in Generations Y and Z aged 18-39. The questionnaire was designed in English but was also translated into Mandarin Chinese. Both generations and cultural/language groups view spirituality as more connected to the self or nature than to religion or God. Attention to religion and spirituality scored much lower than other lifestyle and wellness domains. When travelling, the desire to engage in religious and spiritual activities were also ranked low compared to other activities. The data shows that young people tend to define spirituality more in relation to their own self and nature than to religion. Spirituality is ranked relatively low compared to other domains of wellness. However, although religious and spiritual motivations and benefits are ranked lower than some other experiences during travel, many young people prioritize trips that involve better connections to nature and the self, which reflects their original definitions of spirituality.

INTRODUCTION: The use of executive coaching has become increasingly popular in the organizational world in the past few decades and is considered a key intervention that increases the capabilities of managers at the professional, individual, and organizational levels. This study aimed to identify the indicators, components, and dimensions of the effectiveness of executive coaching in the Red Crescent Society of Iran. METHODS: This descriptive study was conducted based on an applied research method. The required data were collected using exploratory interviews with 20 experts and activists in the field of human resources education. The obtained data were then analyzed using conventional content analysis, as well as open, axial, and selective coding strategies. FINDINGS: According to the findings of the research, orientation, sociability, regularity, empowerment, personality traits, and infrastructure conditions are among the most important factors affecting executive coaching in the Iranian Red Crescent Society. Moreover, two new constructs, namely formal and informal institutions were identified for the first time in the coaching literature as effective factors in the development of executive coaching. CONCLUSION: This study paved the way for filling in some gaps in executive coaching literature. Unlike many previously conducted studies that have only evaluated the effectiveness of executive coaching, this study identified the set of factors related to the individual, organizational, and institutional levels, as well as infrastructural conditions affecting executive coaching. Moreover, the results led to the addition of two new constructs, such as formal and informal institutions, to the literature on coaching in general and executive coaching in particular.

This study critically examines the sustainability challenges within the lithium-ion battery (LIB) supply chain in India's electric vehicle (EV) sector, an area of growing importance due to the rapid expansion of EV adoption. While LIBs are essential for EVs due to their high energy density and reliability, their production and disposal pose significant environmental, social, and economic sustainability challenges. These include resource depletion, environmental degradation, ethical concerns in raw material sourcing, and inefficient recycling processes. This study adopts a qualitative case study approach, focusing on three leading Indian automotive companies, to explore these challenges in depth. Data were collected through semi-structured interviews with key stakeholders involved in various stages of the LIB supply chain, including production, waste management, and recycling. Key findings reveal that the primary environmental challenge is the lack of advanced green technologies for recycling and disposal, leading to high water and energy consumption, as well as hazardous waste emissions. Social challenges include unsafe labor practices, particularly in raw material extraction, and a shortage of skilled labor in battery recycling operations. On the economic front, the reliance on imported raw materials, coupled with high production and recycling costs, undermines the sector’s sustainability and profitability. The research contributes to the literature by providing a comprehensive understanding of the environmental, social, and economic dimensions of sustainability in the LIB supply chain. It also offers practical insights for stakeholders and policymakers aiming to foster a greener and more sustainable EV sector in India.  

This study will seek to provide the best and most efficient ordering policies for different levels of the perishable food supply chain in order to maximize the overall profit of the chain, and minimize social and environmental damage. Our supply chain includes a four-level supply chain of suppliers, manufacturers, distributors and retailers. In addition to the components of perishable products, the dimensions of sustainable development have been fully investigated and taken into account in the entire chain. In this study, due to the main nature of perishable materials, the statistical population includes 9 dairy companies and 9 meat and protein companies, which in total 18 dairy, meat and protein companies in Fars province, Iran, were studied. Network Data Envelopment Analysis (DEA) was used to analyze the data and WinQsb was used to model and solve it. According to the results, the average efficiency of the supply chain of production and distribution of perishable products in the financial year studied by the research in the suppliers sector was equal to 0.9634. This average was equal to 0.9899 in the producers sector, 0.9903 in the distributors sector and 0.9707 in the retailers sector. Therefore, the average efficiency in the study shows that the most inefficiency problems of the studied companies are related to the supplier sector. Also, the overall average efficiency is equal to 0.9950.