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Drawing on the integrative perspective of the technology acceptance model (TAM) and theory of planned behaviour (TPB) and extending it further by examining the role of organisational facilitators and perceived HR effectiveness in this integrative perspective, we examine HR professionals’ AI-augmented HRM (HRM^(AI)) acceptance in this research.

The data (N=375) were collected from HR professionals working in different organisations in India. Structural equation modelling (SEM) was employed to analyse the data.

The results of the study suggest that along with organisational facilitator antecedents to the relevant components of both TAM and TPB, perceived HR effectiveness also enhanced the HRM^(AI) acceptance levels of HR professionals.

The research findings are expected to contribute to the understanding of the factors that influence the acceptance of AI-augmented HRM in organizations. The results may also help organisations to identify the facilitators that can enhance the adoption and implementation of AI-augmented HRM by HR professionals. Finally, the study provides a composite TAM-TPB theoretical framework that can guide future research on the acceptance of AI-augmented HRM.

To the best of our knowledge, this is one of the first attempts to factor in the effect of contextual factors (i.e. organisational facilitators and perceived HR effectiveness) in the TAM and TPB equations.

The agricultural sector has experienced a transformative impact through the adoption of digital technologies, particularly mobile applications designed for farmers. This study investigates the factors influencing smallholder farmers' willingness to adopt digital application tools in Ogun State, Nigeria, focusing on the IITA herbicide calculator and Akilimo mobile applications.

Data were gathered from 572 smallholder farmers participating in the Zero Hunger project. This research contributes to the limited empirical evidence in Nigeria concerning farmers' willingness to adopt digital application tools. The study analyzes the effects of education, training, access to internet services, smartphone ownership, willingness to use paid applications, awareness of application tools and the cost of digital tools on farmers' willingness to adopt. Gender differentials in willingness to adopt were also explored.

The results indicate positive and statistically significant effects of education, training, internet access, smartphone ownership, willingness to use paid applications, awareness of application tools and the cost of digital tools on farmers' willingness to adopt. However, female farmers exhibited a lower willingness to adopt digital application tools.

Policymakers are urged to create supportive policies promoting basic formal education and provide effective extension services to enhance farmers' training. Additionally, efforts should be made to reduce the cost of digital applications and improve internet accessibility in rural areas. Encouraging female farmers to adopt advanced agricultural technologies is essential. Stakeholders are advised to raise awareness of digital application tools to expedite the adoption of agricultural technologies in the country.

This study will be helpful for the government to determine the state’s readiness for digital agriculture, it will help technology developers and agricultural technology startups to understand the factors determining farmers willingness to adopt digital application tools.

This study offers insights into the readiness of Ogun State, Nigeria, for digital agriculture. It provides valuable information for technology developers and agricultural startups to understand the determinants of farmers' willingness to adopt digital application tools, contributing to the advancement of the agricultural technology landscape.

Visually impaired people usually struggle with doing daily tasks due to a lack of visual cues. For image captioning assistive applications, most applications require an Internet connection for the image captioning generation function to work properly. In this study, we developed MyUEVision, an application that assists visually impaired people by generating image captions that can work with and without the Internet. This work also involves reviewing some image captioning models for this application.

The author has selected and experimented with three image captioning models for online models and two image captioning models for offline models. The user experience (UX) design was designed based on the problems faced by visually impaired users when using mobile applications. The application is developed for the Android platform, and the offline model is integrated into the application for the image captioning generation function to work offline.

After conducting experiments for selecting online and offline models, ExpansionNet V2 is chosen for the online model and VGG16 + long short-term memory (LSTM) is chosen for the offline model. The application is then developed and assessed, and the results show that the application can generate image captions with or without the Internet, providing the best result when having an Internet connection, and the image is captured in good lighting with a few objects.

MyUEVision stands out for its both online and offline functionality. This approach ensures the image captioning generator works with or without the Internet, setting it apart as a unique solution to address the needs of visually impaired individuals.

Artificial intelligence (AI) applications are increasingly used for day-to-day operations in healthcare. Each has a relatively limited scope or task, and several find application in managerial and organizational processes. More and more, AI and machine learning (ML) devices have received US FDA approval in the last decade. This chapter covers the main AI applications in healthcare, with a focus on organizational AI solutions (administrative AI), the main AI developers, their investment and real-world data and case studies in healthcare and other sectors. AI can be applied in resource management and procurement, resource allocation, clinical case management, staff work shift scheduling and handling of emergencies. AI applications are becoming ubiquitous in hospital (e.g. emergency room and operating theatre) and outpatient settings (e.g. ambulatory care and dentistry clinics). Their implementation is expected to bring direct benefits for patient care and satisfaction. This chapter gives a broad definition of AI in healthcare settings, with a focus on administrative applications and their use in case study data.

Despite the rapid advancement of blockchain technology across various sectors, scholarly research on its application within family businesses remains significantly underdeveloped. This study aims to address this gap by examining the application of blockchain technology within family businesses to identify key application domains, benefits and implementation challenges.

The study employs a conceptual approach, drawing on existing literature on family businesses and blockchain technology. This review aimed to identify the unique characteristics of family businesses, their challenges and the distinctive features of blockchain technology that can potentially be mapped to each other. Based on the literature review, we develop a conceptual framework exploring blockchain technology applications in family businesses. Real-world case studies of family businesses that have implemented blockchain technology were identified to provide practical insights and implementation challenges.

Blockchain technology possesses transformative potential for family businesses across several critical domains. It includes enhancing trust and transparency in operations, improving governance and decision-making and facilitating succession planning and intergenerational wealth management. Case study evidence illustrates the tangible benefits of blockchain, including enhanced supply chain transparency, optimized business processes, increased customer trust and resultant business sustainability. Blockchain technology implementation challenges include data privacy concerns, integration with legacy systems, regulatory uncertainty and change management issues.

This study is limited by its reliance on existing literature and case studies. It may not capture the full spectrum of challenges and opportunities associated with blockchain applications in family businesses. Future research should focus on longitudinal and empirical research to provide a deeper understanding of the impact of blockchain technology application in family businesses.

This study contributes to the literature by exploring the intersection of family businesses and blockchain technology, an area that has received limited academic attention. It identifies potential application domains of blockchain technology in family businesses and develops a conceptual framework based on existing literature. Through case studies, the research provides practical insights and valuable lessons for family businesses considering blockchain implementation. It also addresses key considerations and challenges, providing a clear roadmap for blockchain technology integration in family businesses. The study lays the groundwork for further research and exploration in blockchain technology and family businesses.

Urban air mobility (UAM) development and deployment into future cities is gaining increasing and relevant interest in the past years. This study, a conceptual paper, aims to report the high-level description of the most relevant UAM application use cases (UCs) emerging from the research activities carried out in the ASSURED UAM project.

The UAM application UCs have been obtained from the ASSURED UAM project dedicated activities that have been carried out to, first, develop suitable operational concepts for UAM deployment in the next decades and, then, to further refine and design the most relevant UCs for UAM deployment in the next decades, leading to the public issue of dedicated overall document.

The ASSURED UAM UCs for UAM deployment in the next decades encompass both public (point-to-point, point-to-everywhere, direct medical transport of people) and private (direct last-mile delivery, advanced last-mile delivery, automatic personal aerial transportation) services applications, evolving in incremental way over time according to three considered time horizons (2025, 2030 and 2035), toward progressive integration into metropolitan transport system.

This paper provides final outline of the ASSURED UAM UCs, starting from the analysis of overall identified possible UAM applications, focusing on the description of the six main UCs considered as relevant for the application under the wider societal benefits point of view. The UCs are described in terms of expected operational environment, needed technological enablers and envisaged regulatory implications.

This systematic review aimed to identify and categorize applications using Fast Healthcare Interoperability Resources (FHIR) to support activities outside of direct healthcare provision.

A systematic electronic search was performed, and 53 studies were included after the selection process.

The results show that FHIR is being used to support (1) clinical research (i.e. clinical research based on interventional trials, data interoperability to support clinical research and advanced communication services to support clinical research), (2) public health and (3) medical education. Despite the FHIR potential to support activities outside of direct healthcare provision, some barriers were identified, namely difficulties translating the proposed applications to clinical environments or FHIR technical issues that require further developments.

This study provided a broad review of how FHIR is being applied in clinical activities outside of direct clinical care and identified three major domains, that is, clinical research, public health and medical education, being the first and most representative in terms of number of publications.

Given the rising popularity of mobile commerce among young consumers, this study aims to examine the effect of mobile applications service quality (MASQ), service convenience (SERCON) and satisfaction contributing to the retention of young consumers towards mobile applications.

Primary data were collected from 213 active online young smartphone users who have used mobile apps for shopping through a structured questionnaire. Structural equation modelling is used to analyse the data.

The results of this study reveal that both MASQ and SERCON strongly support satisfaction, which leads to the retention of young customers.

This study is one of the few relevant pieces of research that would benefit mretailers encompassing mobile commerce applications to improve their MASQ and SERCON with cutthroat competition in gaining and retaining young customers for shopping through smartphone applications.

This study aims to address challenges related to long lead time within a hazelnut company, primarily attributed to product quality issues. The purpose is to propose an integrated lean-based methodology incorporating a continuous improvement cycle, drawing on Lean Six Sigma (LSS) and Industry 4.0 applications.

The research adopts a systematic approach, commencing with a current state analysis using VSM and fishbone analysis to identify underlying problems causing long lead time. A Pareto analysis categorizes these problems, distinguishing between supplier-related issues and deficiencies in lean applications. Lean tools are initially implemented, followed by a future state VSM. Supplier-related issues are then addressed, employing root cause analyses and Industry 4.0-based countermeasures, including a proposed supplier selection model.

The study reveals that, despite initial lean implementations, lead times remain high. Addressing supplier-related issues, particularly through the proposed supplier selection model, significantly reduces the number of suppliers and contributes to lead time reduction. Industry 4.0-based countermeasures ensure traceability and strengthen supplier relationships.

This research introduces a comprehensive LSS methodology, practically demonstrating the application of various tools and providing managerial insights for practitioners and policymakers. The study contributes theoretically by addressing challenges comprehensively, practically by showcasing tool applications and managerially by offering guidance for system performance enhancement.

This paper aims to examine the research conducted between 1938 and 2023 on applying Gestalt principles in management research, focusing on publishing and citation trends in this field.

A systematic literature review was conducted using PRISMA criteria, forming a three-phase strategy. A total of 394 articles from the Scopus database were reviewed. Bibliometric analysis involving co-citation and co-word analysis was used to explore the intellectual structure of the research area.

Eight application clusters were identified through co-citation analysis using Gestalt as a keyword. Co-word analysis revealed key themes and keywords over the period. Substantial literature exists on topics like organization, strategy, physical servicescape, coaching, learning and human resource management. However, Gestalt principles are minimally applied to online retail, social media, website design, mobile app design and emerging areas like Industry 4.0.

The study suggests that Gestalt principles can enhance marketing, communication, decision-making and leadership, according to the study. Understanding Gestalt concepts and how different industries adapt and apply them helps enable cross-industry learning, where successful strategies from one sector can be creatively implemented in others to solve problems.

This study fills a significant gap in the literature by highlighting the underexplored application of Gestalt principles in emerging business and management sectors. It provides a comprehensive discussion on future research directions and identifies specific areas where Gestalt principles can be innovatively applied, offering fresh insights and expanding the theoretical and practical understanding of their utility in modern business contexts.