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In this research work, the general form of reliability measures, which include availability, mean time to failure (MTTF), and sensitivity analysis, are investigated with their graphical representation, which would help designers and engineers improve the reliability of the system. Along with reliability assessment, a mathematical model is developed and solved to achieve the minimum cost of the system as well as maximum reliability.

In the proposed work, a general model of a solar seed sowing machine is considered for reliability evaluation using the Markov model process. The proposed system is a series-parallel arrangement of components where three components, namely the solar panel, batteries and direct current (DC) motor, are connected in series while all the operators are connected in parallel. The implemented Markov model approach assesses several parameters of reliability, which opens the scope for improvement in reliability and other measures like mean time to failure (MTTF) and sensitivity of the proposed system. So that the machine can deliver the desired output on the field. Also, the particle swarm optimization (PSO) algorithm is applied to optimize the cost of the system with the desired level of reliability.

Implementation of PSO provides the optimal cost for the proposed system with a predetermined level of reliability, which shows the relationship between reliability and cost of the system. Also, the Markov process approach provides the availability function, reliability function, reliability at different time values, MTTF and sensitivity of the proposed system.

This work evaluates the crucial characteristics of reliability for the proposed solar seed sowing machine using the Markov model which is a stochastic model. The assessment of reliability measures such as MTTF, availability and sensitivity plays a vital role in measuring and improving the performance of the machine in the actual environment. Examining the data obtained in this research is of great importance for the manufactures and system designers. Also, the powerful optimization technique PSO is implemented to solve a non-linear mixed-integer programming problem that provides the optimal cost for the system with desired reliability.

This study examines the use of dark humor in brand-to-brand communications on social media and its impact on consumers' brand perceptions. In particular, this study looks at roasting messages in which a brand humorously insults its peers.

The authors used a sampling method to recruit 286 participants from the United States. They employed an ANOVA and Tukey's post hoc analysis to test the hypotheses, as well as Hayes' PROCESS to test the mediation and moderation effects, including Johnson–Neyman procedure.

The authors found that not all customers find roasting messages funny. Rather, consumers' personality and age will influence their perceived humor of the messages and their brand evaluations. Customers who are young and extroverted are likely to believe roasting messages to be funny. They thus perceive the brand to be cooler and more sincere when using such a communication approach, compared to when the brand neutrally interacts with others. Meanwhile, brands may find less success with old and introverted customers.

This research sheds light on how the consumers' perception of humor in a roasting type of brand-to-brand communication has an impact on consumers' psychological perceptions of brand coolness and brand sincerity. To guide practitioners, it explored how the interaction between a consumer's personality and age moderates the aforementioned relationship.

This paper aims to review, systematize and map the extant literature on private equity (PE) and study the underlying research agenda for investment selection and value creation in portfolio firms of PE investors. The PE investment process entails the preinvestment stage, where PE investors screen the target firms, and the postinvestment stage, where PE investors monitor the funded firms. With the motive to understand both stages, this review consolidates the findings of existing literature.

This research adopts a systematic literature review approach to study the underlying themes in PE investment literature. To adequately profile the key research areas, the authors have adopted citation classics in addition to keyword search and drawn the most significant papers in this field of research based on citation metrics.

The review presents a heterogeneous set of themes by encapsulating the relevant PE literature and identifies significant and emergent themes within the broad research area of investment and performance. The foundational themes found are selection determinants for PE investments, value creation in PE investments and selection vs value-adding effect of PE investors. While the emergent themes are the relative performance of PE investments; sources of value creation; skill, luck and social capital in PE; and resource dependency vis-à-vis PE. Each theme or subtheme chalks out the underlying research agendas for future researchers.

To build an understanding of the selection determinants and value creation, this review addresses the need to synthesize and align the PE literature concerning pre and post investment stages. PE is a fertile research area that is systematically captured in this review by identifying themes, subthemes and avenues for future research.

This research paper investigates the theoretical frameworks encompassing a nuanced analysis of the digital divide in the Indian educational context, recognising that it is not merely a matter of technology access but also the ability to effectively use the resource for enhancing learning outcomes. This research provides valuable insights for fostering a more equitable and digitally inclusive learning environment by integrating conceptual insights with empirical evidence. The New Education Policy (NEP), India 2020 firmly emphasises the appropriate integration of technology into the teaching-learning process to develop relevant competencies. The pertinent question is, for India to conquer the second digital divide challenge, is the pace of technology accessibility and skill development sufficient?

The paper is a desk research, using secondary data from the Unified District Information System for Education (UDISE+), the Indian Government database of schools. A structured dataset has been created for all years, where states are grouped in descending ranking order of availability of infrastructure and teachers trained. A colour key segregates the States into three zones demonstrating their different levels of performance – high (green), moderate (blue) and low (yellow). The purpose is to identify state/s that have moved from one zone to another and, thereafter, analyse the reasons behind the movement.

Almost all states remained in the same digital resource availability zone for the four years studied, except for a limited few. Despite government interventions through higher budget allocation and targeted policies, growth rates of teacher training in computer usage slowed down post-COVID-19. A high positive correlation between Teachers' training in computer usage and the availability of computer and Internet facilities in schools indicates that an increase in digital infrastructure in schools is highly linked to teachers' training in computer usage and would ultimately translate into better use of digital resources to impart equitable education opportunities.

Primary data collection through interviews might have added to the critical findings. Therefore, researchers are encouraged to test the proposed propositions further on a case-by-case basis for any state under consideration.

Enhancing digital infrastructure in schools and building digital competence in teachers must be understood in the context of the learning organisation and the beneficiaries' attitudes at the meso-level to expand stakeholder motivation towards digital internalisation. This requires continuous engagement with education institutions as professional learning organisations, which will thereby help develop a decentralised context for teacher competency building. Collaboration, continuous monitoring of the outcomes of professional development programs, and sharing best practices are crucial in improving teacher readiness for digital education.

Access to tangible resources, such as computers, Internet connectivity and educational software, and developing intangible resources, such as teacher digital competencies, will play a pivotal role in shaping students' learning experiences. By studying the discrepancies in digital resource accessibility and teacher technology adoption, this research endeavours to add to the efforts towards enhancing the educational landscape.

This paper seeks to address a critical issue in the Indian education system and contribute to the ongoing effort to prevent the widening of the second and third digital divide in schools, and help achieve UN SDG Goals 4 and 10.

India is the birthplace of four major religions which are Hinduism, Jainism, Buddhism, and Sikhism. It is a country where people of all religions live in peace and harmony. Many tourists experience different forms of harassment during their pilgrimage journey, for example, fleecing, extortion of money, harassment by beggars, persistence by vendors and priests, fraud, sexual harassment, and other unacceptable behaviors. In order to appreciate the extent of harassment encountered by tourists, an in-depth study was conducted on the reviews provided by tourists on TripAdvisor's (Indian) website. This study characterizes harassments through ethnographic research approach of published reviews. A total of 260 reviews of 28 top Hindu temples are considered for all the states and union territories where the top Hindu pilgrim centers are located, (excluding Nagaland) according to TripAdvisor. The concerned reviews are categorized and further investigated through a primary data collection in proportion with the reviews received in respective temple sites in the study. through structural equation modeling (SEM). Important factors have been identified for future policy issues and recommendations in these most crowded places with unique mass tourism practices.

This study aims to understand the effect of cultural dimension (individualism/ collectivism) on promotional rewards (social or economic) resulting in incentivizing consumers to engage in electronic word-of-mouth (eWOM), further impacting their repurchase intentions.

In Study 1, a 2 (culture: individualism vs collectivism) × 2 (promotional rewards: social vs economic) between-subjects design was used. Structural equation modeling was used to test the hypotheses. In Study 2, culture was measured instead of just being manipulated. The authors used regression analysis in this study.

Owing to the characteristics of collectivistic individuals, consumers in collectivistic cultures were more likely to respond to social rewards as an incentive to engage in eWOM. However, consumers in individualistic cultures were more motivated to engage in eWOM when economic rewards were offered.

Despite the global nature of eWOM, little research has explored the effects of cultural traits on consumer response to amplified eWOM strategy. Additionally, though many organizations now offer various promotional incentives to reviewers, little research has explored the effects of promotional offers on a reviewer’s subsequent behavior, and no research has explored the relationship between cultural dimensions and current and future response to promotional eWOM rewards.

In the last 10 years, the global financial services industry has significantly benefited from fintech. As the Indian entrepreneurial ecosystem continues to change, more fintech-use case-driven firms are created, and more investors are supporting these enterprises. India is acknowledged as a powerful fintech centre internationally.

The goal of the current research is to comprehend the revolutionary landscape of the Indian financial system.

Methodology: The research methodology entails a thorough review of several research papers and government reports better to understand fintech's role in the Indian financial system. This requires examining the trends, regulations and technical breakthroughs driving the fintech ecosystem to present a comprehensive picture of its influence.

The present chapter indicates that the fintech industry is flourishing in India. Over the following years, technological improvements will fuel the market's continuous expansion and change how financial products and services are produced, distributed and used.

This paper aims to investigate the safe haven feature of Bitcoin, gold and two gold-backed cryptocurrencies (DGX and PAXG) against energy and agricultural commodities (crude oil, natural gas and wheat) during the COVID-19 pandemic, the Russia–Ukraine conflict and the Silicon Valley Bank (SVB) collapse.

The authors use the threshold GARCH (T-GARCH)-asymmetric dynamic conditional correlation (ADCC) model to evaluate the asymmetric dynamic conditional correlation between the return series and compare the diversifying, hedging and safe-haven ability of Bitcoin, gold and the two gold-backed cryptocurrencies (DGX and PAXG) against financial swings in the commodity market during the COVID-19 outbreak, the Russian–Ukrainian military conflict and SVB collapse. The authors also calculate the hedging ratios (HR) and hedging effectiveness index (HE). The authors finally use the wavelet coherence (WC) approach to check our results’ robustness and further investigate the impact of the three crises on the relationship between Bitcoin, gold gold-backed cryptocurrencies and commodities.

The results show that PAXG serves as a strong hedging instrument while gold, Bitcoin and DGX act as strong diversifiers during normal times. During crises, gold outperforms Bitcoin as a diversifier and a safe haven against commodities. Gold-backed cryptocurrencies also exhibit strong performance as diversifiers and safe havens. HR results indicate that Bitcoin and DGX are more cost-effective for commodities risk mitigation than gold and PAXG. In terms of hedging effectiveness, gold and PAXG emerge as the best hedging instruments for commodities, while DGX is considered the worst one. Bitcoin shows superior hedging against oil compared to wheat and gas risks. Moreover, the results of the WC approach confirm those of the T-GARCH-ADCC results in both the short and long run.

This paper provides a comprehensive analysis of the diversification ability of gold, Bitcoin and gold-backed cryptocurrencies during different crises (the COVID-19 pandemic, the Russia–Ukraine conflict and the SVB collapse). By taking into consideration gold-backed cryptocurrencies, the authors expand the understanding of safe havens beyond conventional assets.

Ensuring adequate access to food to all has remained a major challenge of the 21^st century. To aid the effort of hunger alleviation, many studies have quantified the prevalence of undernourishment (PoU), mostly at the national level. There has been limited attention to understanding the intra-country variation in undernourishment estimates.

Unlike past studies, this study tracks the substantial regional heterogeneity in the undernourishment status within Nepal. Employing Food and Agriculture Organization's methodology and Nepal Living Standards Survey data from 1995, 2003 and 2011, household energy consumption and requirements are computed to determine regional undernourishment.

Nepal's PoU declined between 1995 and 2003 but increased after 2003 affecting approximately 7.6 million Nepalese in 2011. The Terai domain – Provinces 2 and 5 – are found to be the most vulnerable to undernourishment concerns likely because of economic and natural shocks. Province 4 achieved higher progress in alleviating undernourishment during 2003, but its PoU doubled in 2011 (as in Province 6).

By examining where and how many are undernourished within Nepal, this study has provided a more accurate picture of the PoU for better-targeting assistance to improve the livelihood of its citizens.

Past studies indicate substantial variation in food access and PoU within Nepal. While they provide some answers to “where and how many” questions for some districts, provinces, belts and urban/rural domains at the cross-sectional level (or for selected locales), few have examined intra-Nepal heterogeneity, especially over time. Therefore, this study explores where and how many within Nepal have been undernourished during the past three decades.