This study employed a deductive approach to examine external HRM factors influencing job satisfaction in the post-pandemic hybrid work environment. Explores the intermediary functions of age, gender, and work experience in this particular environment. The data-gathering procedure consisted of conducting semi-structured interviews with carefully chosen 50 managers representing various sectors, industries, organizations, and professions. The applied approach was adopted to allow a systematic and unbiased investigation of the mediating variables. The study used SPSS 25 and Smart PLS 4 to analyze the model, enhancing understanding of HRM challenges in a constantly evolving workplace. The findings offer valuable insights for HR experts and businesses, highlighting the value of comprehending what methods HRM components influence job satisfaction to optimize employee well-being and productivity. The study provides applied recommendations designed for enhancing employee contentment in the AI-evolving professional atmosphere, shedding light on the importance of supportive leadership strategies, particularly during AI-triggered downsizing. Additionally, we welcome a new era to push forward in integrating and managing AI tools and technologies to automate decision-making and data processing. Results propose that Exogenous influences of human resource management (HRM) influence manager job satisfaction considerably. Specifically, downsizing caused by AI was found to have negative consequences, whereas diversity and restructuring have favorable effects. Gender was recognized as a crucial factor that influences outcomes, then age and years of experience have the most visible effect.

The global increase in organic food consumption underscores the need for in-depth research to understand the determinants of consumer purchase intentions towards organic products. Hence, this study aims to investigate the factors influencing the consumer purchase intentions towards organic food through an analysis involving 274 participants. Additionally, it also explores the mediating and moderating effects of attitudes and environmental concerns on the purchasing intentions towards organic food, providing insights in how these psychological and environmental factors influence consumer behavior. Using a quantitative method, data was gathered from the South Korean cities of Jinju and Changwon. However, analysis was performed through Partial Least Squares Structural Equation Modeling. The research findings illustrate that subjective norm, perceived behavioral control, and ethical consciousness significantly influence attitudes towards purchase intentions of organic foods. Moreover, the results indicate that attitude positively influenced consumer purchase intention towards organic food. Results reveal that attitude serves as a mediator in the relationship between subjective norms and consumer purchase intentions for organic food. Similarly, Likewise, attitude mediates the connection between perceived behavioral control and consumer purchase intention towards organic food. Additionally, the results indicate that attitude mediates the relationship between ethical consciousness and consumer purchase intention towards organic food. Furthermore, environmental concerns are found to significantly moderate the association between attitude and consumer purchase intention towards organic foods. The insights garnered from this study shed light on consumer intentions to purchase organic foods, equipping stakeholders such as marketers, retailers, and producers with valuable insights for creating effective marketing strategies aiming at promotion of these products. This research serves as a pivotal resource for developing targeted approaches to enhance the market share and consumption of organic foods.

This study aims to identify the causes of delays in public construction projects in Thailand, a developing country. Increasing construction durations lead to higher costs, making it essential to pinpoint the causes of these delays. The research analyzed 30 public construction projects that encountered delays. Delay causes were categorized into four groups: contractor-related, client-related, supervisor-related, and external factors. A questionnaire was used to survey these causes, and the Relative Importance Index (RII) method was employed to prioritize them. The findings revealed that the primary cause of delays was contractor-related financial issues, such as cash flow problems, with an RII of 0.777 and a weighted value of 84.44%. The second most significant cause was labor issues, such as a shortage of workers during the harvest season or festivals, with an RII of 0.773. Additionally, various algorithms were used to compare the Relative Importance Index (RII) and four machine learning methods: Decision Tree (DT), Deep Learning, Neural Network, and Naïve Bayes. The Deep Learning model proved to be the most effective baseline model, achieving a 90.79% accuracy rate in identifying contractor-related financial issues as a cause of construction delays. This was followed by the Neural Network model, which had an accuracy rate of 90.26%. The Decision Tree model had an accuracy rate of 85.26%. The RII values ranged from 68.68% for the Naïve Bayes model to 77.70% for the highest RII model. The research results indicate that contractor financial liquidity and costs significantly impact construction operations, which public agencies must consider. Additionally, the availability of contractor labor is crucial for the continuity of projects. The accuracy and reliability of the data obtained using advanced data mining techniques demonstrate the effectiveness of these results. This can be efficiently utilized by stakeholders involved in construction projects in Thailand to enhance construction project management.

Resilient marketing in hotel enterprises is a research area that has not been systematically explored. This study is based on the 4Ps theory to conduct a systematic theoretical study of resilient marketing in hotel enterprises and promote the application of resilient marketing in hotel enterprises. Data were collected from Chinese hotel employees (n = 501) through an online survey. Data were analysed using SPSS and AMOS software. confirmatory factor analysis (CFA) combined with structural equation modelling (SEM) was used to explore hotel employees’ perceptions of resilient marketing in hotel companies. The findings suggest that the concept of resilient marketing, constructed through the four dimensions of resilient products, resilient prices, resilient price, and resilient promotions, is better able to help hotel enterprises withstand crises. This study contributes to understanding how Chinese hotel enterprises use the concept of resilient marketing to withstand crises, such as positively adapting to market changes, collaboratively responding to market competition, and resisting and reversing crises situation. It has important theoretical value and practical significance for constructing a theory of resilient marketing for hotel enterprises, promoting the practical development of resilient marketing for hotel enterprises.

The purpose of this research study is to identify the factors of knowledge sharing among library professionals of higher educational institutions of Pakistan. There are very few studies on the knowledge exchange between library professionals in Pakistan’s higher education institutions. In this study model which has all the elements used to examine the knowledge sharing, in the study researcher investigate the impact of technological, organizational and individual on library professionals’ knowledge sharing behavior. The study adopted a descriptive survey design as research design and quantitative as type of research type. Questionnaire was adapted and used to collect data from 240 librarians through Google form survey in the higher educational institutions. The population of study is higher educational institutions of Pakistan. Convenience sampling techniques was used for data collection. The data were analyzed through the measurement model and structural equation model (PLS-SEM). The results of the study technological development, organizational development and individual development are significant for knowledge sharing in higher educational intuitions in Pakistan. This study gave new insights through to policy makers for the future polices to higher authorities.

The issue of urban land management in the world in general and in Africa in particular has been exacerbated by the liberalization of land practices and the commodification of land, which has led to an increase in corrupt practices within land institutions in all cities. A mixed methodology was employed, combining a comparative case study of secondary towns with a quantitative survey of 559 landowners in the towns of Bohicon and Sokodé. In-depth interviews were conducted with 31 informants, who were surveyed on the land acquisition process, the individual determinants influencing corrupt practices, and the institutions most involved in these practices. The findings revealed that the acquisition of a formal title conferring property rights in both cities necessitates the completion of several steps. Corrupt practices are present at almost every stage of the transaction. The application of logistic regression models to the independent variables indicates that age and profession are highly significant in the sociodemographic characteristics of those most susceptible to engaging in these practices. Formal land administration institutions are the most involved in these types of everyday corruption. These practices are ultimately linked to people’s life paths and cannot therefore be combated without psychosociological education and the promotion of ethical behavior among all stakeholders, particularly among those who demand services.