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The purpose of this paper is to analyze annual energy expenditure in the presence of non-linear load and substation voltage harmonics in distribution systems. Economic assessment of non-sinusoidal energy is a challenging task that involves complex computations of harmonic load powers and harmonic line losses.

The paper evaluates fundamental and non-sinusoidal components of electrical energy by applying backward/forward sweep technique in distorted distribution systems. This work involves harmonic power computations at the substation by including harmonic losses occurring in various lines of the distribution system.

The paper found that annual energy expenditure significantly depends upon the non-linear load, supply voltage harmonics and type of tariff structure considered in the distribution system. Impact of individual harmonic orders on the energy billing is also assessed.

The paper concludes that considering harmonic distortions in the distribution system analysis would help electricity regulators formulate adequate pricing structures, which would further generate appropriate economic signals for electricity utility and the consumers.

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.

The paper aims to monitor the condition of heavy Earth-moving machines (HEMMs) used in open cast mines by lube oil analysis.

Oil samples at periodic interval were collected from the HEMM engine (Model No: BEML BH50M). Ferrography and Field Emission Scanning Electron Microscopy have been used for the wear particle analysis present in oil samples. Viscosity analysis and Fourier transform infrared spectroscopy have been done to investigate the degradation in quality and changes as compared to the initial structural properties of the lubricants.

The results obtained indicates wear in cylinder liner and piston ring. Copper, cast iron, alloy steel and ferrous oxide have been found as rubbing wear particles and cutting wear particles. Contamination level has also been found to be increasing in consecutive older oil samples. Chemical properties degraded with usage time and variations in oxidation and soot level have also been observed in every sample.

The results will be very much useful to maintenance teams of mining industry for early prediction of any impending failure of the machines, for example, diesel dilution, severe wear of the piston or cylinder liner leading to seizure can be predicted.

The HEMMs are an important piece of equipment in coal mining. Proper condition monitoring of HEMM is required to reduce the break down and down time to increase production.

The purpose of this paper is to explore the history, classification, regulation, the current market and consumer trends and health effects of alcopops.

The articles reviewed were selected based on the following key descriptors such as alcopop, history, classification, types, production and consumption trend, health benefits and adverse effect.

“Alcopop” is a collective term used to refer to flavored alcoholic beverages (FAB), also known as malt alcoholic beverage; ready-to-drink beverage (RTD); pre-packaged spirit or premium packaged spirit; high-strength (HS) pre-mixed beverage; pre-mixed caffeinated alcoholic beverage or alcoholic energy drink, etc. Alcopops were introduced into the market in 1990s. Starting with the introduction of FAB in the form of wine coolers, a large number of alcoholic beverages have been introduced. FAB are sweet, containing relatively low alcohol content and especially designed for the young drinkers also called the “entry-level” drinkers. They are popular among young and underage drinkers, teenage girls particularly, and the industries use packaging materials and marketing strategies that appear to target the youth. These products are now marketed globally, and their production, classification and marketing vary by country based on national regulatory restrictions. In countries such as USA and Australia, the industry represents that the products were malt beverages for regulatory purpose which were found to be false as other products were derived from distilled spirits. The product has no health benefits so far, the government need to reform their regulations and include new definitions of alcopops with available restrictions that would be practice at both national and state levels until and unless there have been another scientifically approved method of production through which the beverage could be beneficial for human consumption.

This is a unique and comprehensive review that will provide a brief overview of alcopops, i.e., a global perspective on the new category of alcoholic beverage.

The viewpoint paper aims to highlight the assistive role that Generative artificial intelligence (Gen AI) can play in the design of learning and development programs for employees with special needs. The article discusses the challenges, benefits and reasons why Gen AI should be used to manage diversity, equity and inclusion by creating personalized and customized training and development programs.

The viewpoint paper is based on reviewing articles and videos on the application of Gen AI in learning and development.

Gen AI offers immense opportunities to design personalized learning solutions for employees with special needs due to disability that can be physical or cognitive. The AI-based solutions support special learners by customizing assistive technology-based solutions and content based on the level of disability and need of the learner. This paper also highlights the importance of synergy between the training department, government and technology solution providers.

The viewpoint paper fills in an important gap by discussing the role that Gen AI can play by facilitating the learning and development of employees with unique skills.

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 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 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.