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Purpose. This chapter discusses the challenges and different strategies to increase skill development for the future workforce.

Methodology. Multiple sources on the topic were studied and reviewed in this chapter. The idea of skill and its development is discussed in the literature review.

Findings. Different nations’ governments have promoted human capital development by providing up-skilling and retraining programs to balance supply and demand. Skills gaps need to be brought to the attention of stakeholders, such as governments, businesses, and the educational system. Teachers, employers, and other stakeholders need to develop strategies and action plans to ensure that the skills gaps are appropriately identified and adequately addressed. These initiatives must be developed with input from various stakeholders.

Practical Implications. The research results would inform the curriculum, incorporating skill development processes tailored to various scenarios. These findings would aid business organisations in crafting skill development programs that address identified skill gaps. Challenges in skill development would be taken into account during course development, and relevant teaching–learning materials would be created. Key stakeholders, such as accrediting organisations, employers, and students, should exert more influence on academic institutions to prioritise societal demands for economic development.

Originality/Value. The uniqueness and significance of this chapter lie in its concise summary of the strategies to tackle the hurdles in skill development.

This study aims to advance understanding of the critical role of training variables (trainer performance, transfer design and an identical element) and motivation to improve work through learning (MTIWL) the least researched construct of motivation in human resource development (HRD).

A self-report online survey was conducted to collect responses from 280 managers working in different industries. Participants attended open skills training program organized by an in-house training institute in India.

The trainer performance and transfer design had a positive and significant impact on MTIWL. However, an identical element found no significant direct impact on MTIWL.

The trainer performance positively cultivates trainees’ MTIWL and training approaches according to trainees’ preferences improve MTIWL. The training content is needed to resemble with work assignment for enhancement of trainees MTIWL.

This study improved understanding of the impact of training variables on a comprehensive and practical aspect of trainees' motivation in HRD, MTIWL.

The study proposes to empirically test a model that illustrates how identical elements (IEs), transfer design and trainer performance as training predictors affect trainees' motivation to improve work through learning (MTIWL) and training transfer (TT) in the Indian context.

An online survey was conducted to validate the study model. The quantitative data collected from 360 executives and managers were analyzed using the covariance-based structural equation modeling (CB-SEM) technique.

The study finds that trainees' MTIWL has a full mediation impact between transfer design, trainer performance and TT. However, a partial mediating impact of MTIWL was found between IEs and TT.

This is the first study that empirically explores the mediating mechanism of MTIWL between IEs, transfer design, trainer performance and TT. This study extends the current understanding of trainees' MTIWL that links the cumulative influence of training predictors to TT.

Technology advancement has changed how banks operate. Modernizing technology has, on the one hand, made it simpler for banks to do their daily business, but it has also increased cyberattacks. The purpose of the study is to to determine the factors that have the most effects on online fraud detection and to evaluate the advantages of AI and human psychology research in preventing online transaction fraud. Artificial intelligence has been used to create new techniques for both detecting and preventing cybercrimes. Fraud has also been facilitated in some organizations via employee participation.

The main objective of the research approach is to guide the researcher at every stage to realize the main objectives of the study. This quantitative study used a survey-based methodology. Because it allows for both unbiased analysis of the relationship between components and prediction, a quantitative approach was adopted. The study of the body of literature, the design of research questions and the development of instruments and procedures for data collection, analysis and modeling are all part of the research process. The study evaluated the data using Matlab and a structured model analysis method. For reliability analysis and descriptive statistics, IBM SPSS Statistics was used. Reliability and validity were assessed using the measurement model, and the postulated relationship was investigated using the structural model.

There is a risk in scaling at a fast pace, 3D secure is used payer authentication has a maximum mean of 3.830 with SD of 0.7587 and 0.7638, and (CE2).

This study focused on investigating the benefits of artificial intelligence and human personality study in online transaction fraud and to determine the factors that affect something most strongly on online fraud detection. Artificial intelligence and human personality in the Indian banking industry have been emphasized by the current research. The study revealed the benefits of artificial intelligence and human personality like awareness, subjective norms, faster and more efficient detection and cost-effectiveness significantly impact (accept) online fraud detection in the Indian banking industry. Also, security measures and better prediction do not significantly impact (reject) online fraud detection in the Indian banking industry.

The purpose of this study is to predict the transfer of training (ToT) from management training. This study empirically examined the predictive power of ToT factors, namely, individual characteristics (self-efficacy), training intervention design (training approaches) and work climate (organizational support) among the study respondents.

All the proposed research hypotheses were tested through survey data. Data was collected using a questionnaire from managers working in different departments of an Indian public manufacturing organization. A sum of 273 usable data was analyzed, and the structural equation modeling technique was used to test the proposed theoretical model.

The study results showed a direct and positive association among self-efficacy, work climate and training intervention design with training transfer. The study findings suggest that self-efficacy, training approaches and organizational support predict ToT.

The study findings have a beneficial impact on designing and delivering successful management training intervention among managers. To enhance training transfer, organizations could consider all these three factors. A replication of the study in national and international settings would help improve generalizability.

To the best of the authors’ knowledge, this is the first study that explored the new relationships of selected factors with ToT in management training. An improved understanding of the interactive impact of self-efficacy, training approaches and organizational support on the ToT is provided.

This study aims to investigate the effect of slanted perforation diameter in tabs for the control of Mach 1.4 underexpanded supersonic jet flow characteristics.

Numerical investigation was carried out for NPR 5 to analyze the effect of slanted perforation diameter in tabs to control the Mach 1.4 jet. Four sets of tabs with slanted circular perforation geometries (Φ_p = 1, 1.5, 2 and 2.5 mm) were considered in this study. The inclination angle of 20° (α_P) with reference to the jet axis was maintained constant for all the four tabs considered.

Determined value indicates there is a 68%, 71%, 73% and 75% drop in supersonic core for the Φ_p = 1, 1.5, 2.0 and 2.5 mm, respectively. The results show that the tabs with 2.5 mm perforation diameter were found to be efficient in reducing the supersonic jet core in comparison with other tab cases. The reduction in supersonic core length is due to the extent of miniscule vortices exuviating from slanted small and large diameter perforation in the tabs.

The concept of slanted perforation can be applied in scramjet combustion, which finds its best application in hypersonic vehicles and in noise suppression in fighter aircraft.

Slanted perforation and circular shapes with different diameters have not been studied in the supersonic regime. Examining the effect of circular diameter in slanted perforation is an innovation in this research paper.

This chapter explores the interaction between different kinds of knowledge and representations in the making of the ‘fleshed’ female reproductive body in an Indian city. In particular, it analyzes how women perceive contraception and how the reproductive governance helped to produce the female sterilization as the most widely used contraceptive method in India. The study is based on the case of the city of Bhuj, in the state of Gujarat (India), where three anthropological fieldworks (15 months) were conducted. Modern contraceptive methods are based on a biomedical representation of the body, drawn from Western categories of knowledge and experience, whereas women live the ‘fleshed’ reproductive body through local categories of substance and fluids. How is this knowledge mobilized and affected in relation to reproductive technologies and the government of reproduction? This question is addressed through the analysis of women's embodied experiences of contraception. The narratives collected show a resistance to biomedicine, considered to be a model that alters the female body and its reproductive capacity. Nevertheless, even when sterilization was considered to be a deliberate act of tampering with the functioning of their bodies, women displayed a pragmatic agency in choosing this method. The experiences of respondents reflected complex negotiations between bodily suffering, socio-economic structures and the microphysics of power surrounding them, rather than a unilateral submission to medical authority and reproductive governance.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Training and development programs are more effective when participants are motivated to both learn and then subsequently use the knowledge and skills acquired to enhance their job performance. Firms become better placed to obtain these outcomes when emphasis is placed on important learning variables.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

In a volatile agricultural postharvest market, producers require more personalized information about market dynamics for informed decisions on the marketed surplus. However, this adaptive strategy fails to benefit them if the selection of a computational price predictive model to disseminate information on the market outlook is not efficient, and the associated risk of perishability, and storage cost factor are not assumed against the seemingly favourable market behaviour. Consequently, the decision of whether to store or sell at the time of crop harvest is a perennial dilemma to solve. With the intent of addressing this challenge for agricultural producers, the study is focused on designing an agricultural decision support system (ADSS) to suggest a favourable marketing strategy to crop producers.

The present study is guided by an eclectic theoretical perspective from supply chain literature that included agency theory, transaction cost theory, organizational information processing theory and opportunity cost theory in revenue risk management. The paper models a structured iterative algorithmic framework that leverages the forecasting capacity of different time series and machine learning models, considering the effect of influencing factors on agricultural price movement for better forecasting predictability against market variability or dynamics. It also attempts to formulate an integrated risk management framework for effective sales planning decisions that factors in the associated costs of storage, rental and physical loss until the surplus is held for expected returns.

Empirical demonstration of the model was simulated on the dynamic markets of tomatoes, onions and potatoes in a north Indian region. The study results endorse that farmer-centric post-harvest information intelligence assists crop producers in the strategic sales planning of their produce, and also vigorously promotes that the effectiveness of decision making is contingent upon the selection of the best predictive model for every future market event.

As a policy implication, the proposed ADSS addresses the pressing need for a robust marketing support system for the socio-economic welfare of farming communities grappling with distress sales, and low remunerative returns.

Based on the extant literature studied, there is no such study that pays personalized attention to agricultural producers, enabling them to make a profitable sales decision against the volatile post-harvest market scenario. The present research is an attempt to fill that gap with the scope of addressing crop producer's ubiquitous dilemma of whether to sell or store at the time of harvesting. Besides, an eclectic and iterative style of predictive modelling has also a limited implication in the agricultural supply chain based on the literature; however, it is found to be a more efficient practice to function in a dynamic market outlook.

The present study aims to develop and offer a model to evaluate the customers' attitude and intention to adopt solar net metering systems (commonly called solar NMS) in a developing economy. Therefore, the research examines different factors affecting the Indian households' attitudes and intention to adopt solar NMS.

The data were collected from 247 solar NMS users from India. The structural equation modeling (SEM) technique was applied using SmartPLS 3.3.2 software to analyze the impact of various factors on their adoption intention. The conceptual model comprises environmental concern, perceived ease of use (PEOU), subjective norms, perceived usefulness (PU), attitude and behavioral intention to adopt solar NMS.

Subjective norms and environmental concerns significantly influence the PU and PEOU of solar NMS. Also, PU and PEOU significantly influence their attitude and intentions toward adopting solar NMS. Thus, the perceived social pressure and environmental concern affect their perception of solar NMS's usefulness and ease of use, leading to favorable attitudes and adoption intentions. Additionally, the solar NMS benefits the customers, society and the environment by enhancing environmental quality, compatibility with the modern lifestyle, and reducing dependency on the power grid and electricity bills. These benefits shape the customers' overall perception and increase the adoption of solar technologies.

The present research helps bridge the gaps in the existing literature by identifying (1) factors affecting customers' intention toward solar technologies in developing nations and (2) describing the significant prediction of environmental concern and subjective norms to increase solar technologies adoption.