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This paper explores the management of emotions and emotional challenges that human trainees face when interacting with a robot or a humanoid trainer.

This study draws on existing academic and grey literature on robot and humanoids-based training with algorithms, bots, and artificial intelligence (AI).

The study highlights the need for personalized feedback, clear communication, and the establishment of trust between the trainee and robotic trainer. The study discusses the strategies to manage emotions like anger, disgust, fear, happiness, sadness, and surprise that are experienced by human trainees.

The research provides an accessible summary of setting realistic expectations for the emotional experience of working with a robotic trainer to help manage expectations and reduce disappointment.

The managers in charge of implementing robotic training programs can provide education and resources to help individuals effectively manage emotions when working with a robotic trainer.

This paper aims to explore the application of artificial intelligence (AI) for coaching. This paper discusses the different applications, benefits, challenges and implementation issues in AI usage in coaching. It highlights how AI is facilitating the up-skill and re-skill of employees.

The viewpoint reviews the articles, research papers and case studies.

AI-based coaching apps are aiding managers and supervisors in coaching and tracking trainees and mentees’ progress. AI is being used to customize the coaching program as per the mentee’s individual needs. AI-powered coaching systems can analyze recorded sales conversations and offer real-time coaching and feedback.

AI-powered coaching systems help transform coaching from standard in-person one-to-one mode to personalized and customized AI system assisted coaching system. Research is needed to understand the factors that can facilitate AI-powered coaching transform into a game changer in the coaching industry.

This paper reviews and discusses several AI-powered coaching applications. This paper is useful for researchers and professionals in the field of coaching and mentoring, as it offers a review of the current AI-powered coaching applications.

AI systems offer private unbiased feedback and help self-assessment of individual mentee and mentor performance. AI provides a capability for organizations to track individuals’ learning and calculate return on investment.

This paper aims to review and explore the adoption of Metaverse as a training ecosystem. The paper focuses on the current debate on the relevance of Metaverse for training.

This paper reviews the recent articles and interviews and then critically discusses the future of training in Metaverse.

Recent reports, studies and developments show that immersive training holds much potential. The future for training in Metaverse seems to be bright with benefits for both employers and employees.

This viewpoint paper is easy to read and comprehensive.

This viewpoint paper aims to explore the adoption of artificial intelligence (AI) in personalized learning for employees and its potential, challenges and ethical consideration to transform the landscape of employee’s performance improvement.

A review of relevant research papers, articles and case studies is done to highlight developments in research and practice.

Personalised learning powered by AI will transform employee education and training as AI evolves, helping individuals and organisations succeed in an ever-changing, knowledge-driven world. Concerns like data privacy, algorithmic bias and human engagement must be addressed to achieve ethical and fair implementation.

This paper discusses the overall influence of AI adoption on personalised learning for employees. It examines how AI technologies have the ability to disrupt traditional learning methodologies, modify organisational learning cultures and encourage an environment that fosters ongoing learning and innovation.

The purpose of this paper is to model the key influencers or predictors for usage of technology by sales professionals in India.

This study examines the effect of individual, organizational and social factors on the use of technology. The method used for primary research is survey, and data have been collected from 556 sales professionals from across four industries in India. The empirical analysis consists of confirmatory factor analysis using structural equation modeling.

Confirmatory factor analysis has been used to validate the constructs, namely, peer usage, support service, perceived usefulness, attitude, usage and performance. Based on the results, it has been concluded that attitude and peer usage have a direct effect on the use of technology. Support service affects peer usage and perceived usefulness affects attitude. This model helps us understand the direct and indirect predictors of use of sales technology (ST), and its effect on sales performance.

The limitation of this study is that data pertain to India only.

The findings of this paper will help sales managers and organizations develop strategies to increase the acceptance and use of new technologies, and also strengthen their arguments for convincing the various stakeholders about the benefits and relevance of the ST.

The paper attempts to build and validate a parsimonious model taking into account peer usage (social factor) and support service (organizational factor) in addition to perceived usefulness and attitude.

This paper discusses the applications of virtual reality (VR) in the field of sales training and highlights the implications for practice by building on cutting-edge research and case studies.

This paper is prepared on the basis of the review of recent developments in research and practice related to VR.

VR hardware, content, and applications are being designed to be more realistic and immersive, which may lead to higher visibility and popularity. VR training mimics real jobs, and with immersive experience, trainees do better at their actual jobs. The use of VR is training, transforming, and making it more dynamic, immersive, engaging, affordable, and remotely accessible.

The paper provides condensed insights about the applications and developments of VR in the field of sales training.

The paper saves hours of reading time for busy executives and researchers by selecting and presenting the most relevant and valuable information in a summarized and crisp format.

This paper aims to discuss the rationale, theoretical foundation, application, and future of artificial intelligence (AI)-based training.

A review of relevant research papers, articles and case studies is done to highlight developments in research and practice.

AI-based training systems are smart, intelligent and expert in handling queries. These systems can curate content, grade, evaluate, and provide feedback to trainee, thus making learning adaptive and contextual.

Application of AI is vital in the field of training, as it helps personalization and customization of training programs to increase the effectiveness of training.

Executives and researchers can save time by reading relevant information on the linkage, and its contribution to AI is discussed and summarized in an easy to read format.

This paper aims to discuss the developments in augmented reality (AR) and its application and impact in the field of training. It highlights major implications for practice by building on current research and case studies.

This paper is based on the review of important developments in research and practice related to AR.

The engagement and retention are higher for AR-based training, as it layers and supplements the real-world environments with additional content. AR training reduces the pressure of memorizing instructions. AR is being adopted by a variety of organizations ranging from healthcare, automotive, firefighting, military, etc.

The paper provides relevant strategic insights on AR and its relevance in the field of training.

This paper aids the busy executives and researchers by offering the most relevant and valuable information related to AR in a summarized and crisp format.

This paper aims to review the applications of artificial intelligence (AI) in the hiring process and its practical implications. This paper highlights the strategic shift in recruitment industry caused due to the adoption of AI in the recruitment process.

This paper is prepared by independent academicians who have synthesized their views by a review of the latest reports, articles, research papers and other relevant literature.

This paper describes the impact of developments in the field of AI on the hiring process and the recruitment industry. The application of AI for managing the recruitment process is leading to efficiency as well as qualitative gains for both clients and candidates.

This paper offers strategic insights into automation of the recruitment process and presents practical ideas for implementation of AI in the recruitment industry. It also discusses the strategic implications of the usage of AI in the recruitment industry.

This article describes the role of technological advancements in AI and its application for creating value for the recruitment industry as well as the clients. It saves the valuable reading time of practitioners and researchers by highlighting the AI applications in the recruitment industry in a concise and simple format.

This viewpoint paper investigates the changing role of leadership in a dynamic, technologically driven society, and the vital requirement for leaders to engage in continuous self-upskilling to remain effective. It emphasizes the importance of generative artificial intelligence (GAI) in transforming personalized learning experiences for leaders and allowing them to adapt to an ever-changing world.

A review of current research papers, articles, and case studies is conducted to evaluate the integration of generative AI in leadership self-upskilling. It examines the possibilities and possible benefits of generative AI, and the issues it offers regarding data privacy, algorithmic bias, and learning requirements.

The findings highlight the transformational potential of GAI in self-upskilling for leaders. It demonstrates how GAI can build personalized learning materials, provide real-time feedback, and adapt content to individual learning styles. It identifies notable executives who have effectively embraced GAI for their self-upskilling journeys, resulting in increased productivity and competitiveness.

The paper investigates the application of GAI for self-improvement, addressing challenges such as data privacy and algorithmic bias while suggesting responsible AI use tactics.

This study investigates the relationship between leadership and AI, emphasizing the importance of leaders in self-improvement as well as the possibility of AI-powered self-upskilling to democratize leadership development while also promoting ethical use.