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The study aims to investigate the integration of human and machine intelligence in Industry 4.0 (I4.0), particularly in the convergence of industrial revolutions 4.0 (IR4.0) and 5.0. It seeks to identify employee competencies aligned with industry 5.0 (I5.0) and propose a framework for deep multi-level cooperation to improve human integration within the intelligence system.

This study uses bibliometric analysis to review 296 research papers retrieved from the Scopus database between 2002 and 2022. The prominence of the research is evaluated by analyzing the publication trend, sample statistics, theoretical foundation, commonly used keywords, thematic evolution, country-based contributions and top-cited documents.

The study observed that research in I5.0 has been limited in the past but has gained momentum since 2015. An analysis of research papers from 2002 to 2022 reveals a gradual shift toward human-centric practices. The literature on I4.0, the internet of things (IoT), artificial intelligence (AI), cloud manufacturing, blockchain and big data analysis has been increasingly highlighting the growing importance of digitalization in the future. An increase in the number of countries contributing to the field of study has also been observed.

This analysis offers valuable insights for managers, policymakers, information technology (IT) developers and stakeholders in understanding and implementing human-centric practices in I5.0. It emphasizes staying current with trends, embracing workforce empowerment through reskilling and upskilling, and prioritizing data privacy and security in adaptable systems. These strategies contribute to developing effective, inclusive and ethically sound approaches aligned with the principles of I5.0.

This study addresses the growing challenges of food security, livelihood generation and sustainable urban living in the context of increasing urbanization in developing countries. As urban populations are projected to rise significantly in the coming decades, urban agriculture emerges as a potential solution to support dietary needs and economic empowerment. However, urban farming practices in developing countries face unique socio-economic, cultural and technological challenges compared to developed nations. This paper aims to analyze global urban agriculture practices, examine success stories from developed countries and propose an adaptable, inclusive urban agriculture model tailored to developing countries.

The research systematically reviews global urban agriculture practices, emphasizing successful implementations in developed nations. The research highlights gaps and areas of opportunity by comparing these practices with the unique socio-economic and cultural contexts of developing countries. Focus group interviews were conducted among urban farmers from India to finalize the key variables of urban agriculture in developing countries. The second phase involves the construction of a context-specific model for developing countries and proposing interventions. A comparative method is devised to identify developed country’s urban agricultural practices and policies to derive an optimal urban agricultural model for developing countries.

The findings from the study reveal that in developed countries, urban agriculture is motivated by the urge to become self-sustainable and to maintain a connection with the community shaped by different socio-economic, environmental and technological factors. In developing countries, the prime motive is to generate a secondary income source and ensure food security. Still, they face limited technological access, insufficient policy support and socio-cultural barriers. Technology-supported urban agricultural infrastructure and support from the government and other stakeholders would be a potential solution in developing countries to implement successful integrative solutions. To support this, adaptive policies in urban agriculture are required to bridge the gap in the current system.

This research offers practical implications for policymakers, urban planners and agricultural stakeholders in developing countries. It emphasizes the importance of designing policies that address resource constraints, such as land availability and financial access and promote sustainable farming techniques. The study recommends creating supportive frameworks to empower urban farmers, including subsidies, training programs and efficient market mechanisms. Integrating urban farming into city planning can foster green spaces, enhance food security and drive economic development. These actionable recommendations aim to facilitate the growth of urban agriculture as a sustainable and inclusive practice in developing countries.

Participation and social cohesiveness aspects of urban agriculture provide beneficial food accessibility with the concept of food for all, ensuring socio-cultural equality in accessing quality food. This study highlights the role of urban agriculture in addressing socio-economic inequalities, particularly in developing countries. By engaging communities in sustainable farming practices, urban agriculture can create collaborative networks, promote healthier lifestyles and improve access to fresh produce. The study also underscores the importance of empowering urban populations through targeted interventions in urban farming. These social implications reinforce the value of urban agriculture in enhancing the overall quality of urban life.

This study makes a unique contribution by focusing on the contextual adaptation of urban agriculture models for developing countries. While urban farming has been extensively studied in developed nations, limited research addresses developing regions’ specific challenges and opportunities. By proposing a comprehensive and inclusive model that bridges socio-economic and cultural gaps, this research provides a novel framework for integrating urban farming into the urban planning and policy landscape of developing countries. The originality lies in its comparative approach, leveraging global best practices while tailoring solutions to local contexts, thereby advancing the discourse on sustainable urban agriculture.

This paper aims to investigate the continuing experience of the employer and employees in terms of work–life balance (WLB) and productivity from the employees engaged in knowledge work working from home. Based on the findings, this study expands the key performance indicators (KPIs) of remote work and future policy decision including reorienting training practices that can be implemented to manage the workforce in a hybrid model.

Focus group interviews with the corporate executives and human resources (HR) managers of information technology (IT) sectors were conducted to pool critical success and challenging variables in various phases as in the initial and matured phase of work from home (WFH) followed by administering a structured questionnaire to identify employee perceptions toward work from office, home and hybrid mode among knowledge work employees.

WLB and lower stress were the highlights of WFH, and women employees benefit from flexibility of work as the major highlighted success factor. But there were challenges ahead; teams have become more siloed with issues of ineffective communication resulting in team coherence issues, increased health risks and also can result in attrition. Productivity increased throughout, but in the extended phase of WFH, it has affected the WLB of a major portion of technology-driven employees in terms of health risks, burnout and job attrition.

Only the current employees working at IT companies in Kerala were surveyed, and this limited scope may not be consistent with other types of industries. The companies can approach the next phase of work by embracing the positives and learning from the challenges of WFH. The employers need to identify what exactly the employees feel through their interpersonal relationship through connect and trust.

A model with listed KPIs which will address the strategy enhancement for the future of work to uphold the success of work from anywhere at any time is suggested guaranteeing the best talent and productivity to progress forward. To foster the positive experience of WFH and hybrid mode of work, human resources (HR) interventions by reorienting effective training among employees are investigated and suggested as best practices to manage WLB and drive in flexibility to bring out the productivity potential among employees.

Coworking spaces can be arranged for those employees who have space and location issues and also taking into consideration, the nature of work. Out of five to six working days, three days of work can be from office desk based on employee preference as quality of deliverables and performance seem to be the established striking factor of traditional mode of work.

A model with listed KPIs and investigating the role of training which will address the strategy enhancement for the future of work to uphold the success of work from anywhere at any time is recommended guaranteeing the best talent and productivity to progress forward.

This paper aims to discover the effectiveness of Farsi-English query using ontology.

The present study is quasi-experimental. The sample consisted of 60 students and graduate and doctoral staff from Shiraz University and the Regional Center for Science and Technology. A researcher-made questionnaire was used to assess the level of English language proficiency of users, background knowledge and their level of satisfaction with search results before and after using ontology. Each user also evaluated the relevance of the top ten results on the Google search engine results page before and after using ontology.

The findings showed that the level of complexity of the task, the use of ontology, the interactive effect of the level of complexity of the task with the domain knowledge of the users, and the interactive effect of the level of complexity of the task with ontology, influence the effectiveness of retrieval results from the users' point of view. The results of the present study also showed that the level of complexity of the task, the use of ontology, and the interactive effect of the level of complexity of the task and the use of ontology, affect the level of user satisfaction.

The results of this research are significant in both theoretical and practical aspects. Theoretically, given the lack of research in which the interactive effect of the use of ontology has examined the level of complexity of tasks and domain knowledge of users, the present study can be considered as an attempt to improve information retrieval systems. From a practical point of view, the results of this research will help researchers and designers of information retrieval systems to understand that the use of ontologies can be used to retrieve information and improve the query and assess the needs of users and their satisfaction in this field, and ultimately, making the information retrieval process more effective.

The world today is heavily controlled by the content available on the internet, where a one-star rating gain may work wonders for a company and a one-star rating decline can cause huge damage. Online booking platforms provide more freedom, privacy and contact with experienced travelers than physical hotel booking. The study identifies the factors shaping travelers' online hotel booking intention (OHBI).

We utilized structural equation modeling (SEM) to expand the horizons of the technology acceptance model (TAM) and stimulus-organism-response (SOR) framework in the hospitality sector. The results are based on the data collected from 705 travelers who made online hotel reservations.

The findings demonstrate that online reviews, hotel website quality and hotel website convenience quotient favorably shape prospective tourists' perceived trust, magnifying their inclination to book a hotel online. Website convenience quotient and trust partially mediate the association between the constructs. In addition, the linkage between perceived trust and OHBI is strengthened by promotional offers but weakened by perceived risk.

Our findings provide several important implications for hotel managers, prospective travelers, hotel owners, website developers, policymakers, hotel employees, the local community and competitors to expedite the growth of the Indian hotel industry.

The literature reveals that website convenience quotient, perceived trust and promotional offers have not received enough attention in the hospitality industry and warrant attention. Our study strives to broaden the scope of the TAM and SOR models to better understand these constructs in the backdrop of the Indian hospitality sector. The study also examines how promotional offers and perceived risk influence the linkages between the underlying constructs.

This study profiles and segments potential tourists on the basis of their various attitudes toward artificial intelligence (AI) services. Furthermore, this study distinguishes descriptors among the different clusters, such as preference for using diverse AI services, overall image of AI services, willingness to use AI services (WUAI), willingness to pay more for AI services (WPAI) in tourism and hospitality, and characteristics of respondents.

An online survey was conducted in South Korea. Data on 758 potential tourists were used for K-means cluster analysis.

This study identified three distinct tourist segments with differentiated attitudes toward AI services: the group aspiring to use or fantasizing about AI services (Cluster 1), the group being knowledgeable and supportive of AI services (Cluster 2), and the group having low interest about AI services (Cluster 3).

Members of Cluster 2 were the most marketable as this segment exhibited the greatest knowledge of and support for AI services, while Cluster 1 would be an ideal segment to launch and test novel AI services.

This study extends the authors’ knowledge of AI scholarship by unpacking the existing market segments, which could be tapped to sustain AI penetration in the tourism industry. Hence, this study contributes to existing debates on AI scholarship, which is predominated by conceptual reflections and issues of AI services in the tourism and hospitality field.