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Purpose: With a focus on its foundations, significance, applications, and results, this chapter attempts to investigate the idea of Green HRM, or Green Human Resources Management, in the context of changing business environments.

Need for the study: The growing focus on environmental sustainability is a challenge for HR professionals in terms of successfully integrating eco-friendly practices into HR initiatives. The benefits and ramifications of implementing Green HRM are discussed in this paper, which also highlights the growing significance of incorporating environmental issues into HRM processes.

Methodology: The chapter investigates the principles and results of Green HRM by conducting a thorough analysis of the body of existing literature and empirical investigations. The influence of eco-friendly HRM on work-related attitudes, productivity, resource efficiency, waste reduction, work–life balance, cost savings, and employee performance and retention is examined using a qualitative approach.

Findings: The results indicate that implementing Green HRM has a favorable impact on a number of organizational functioning elements. In addition to encouraging resource efficiency and waste reduction, it improves staff attitudes, productivity, and retention. Green HRM also helps to create workplaces that are socially and environmentally conscious.

Practical implications: The study provides useful insights for HR practitioners by highlighting the core components of Green HRM that enhance conventional HRM methods. Organizations can develop sustainable workplaces that meet environmental goals while improving overall performance and employee well-being by integrating eco-friendly activities into HR strategies.

This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a mediator for customer loyalty and repurchase intention (RI). It also explores how consumer trust (CT) in Thai street food safety moderates these relationships.

Structural equation modelling (SEM) was utilised to analyse the complex interrelationships between various constructs. Multi-group analyses were conducted to investigate the moderating effects of CT on the structural model, considering two distinct groups based on trust levels: low and high.

The findings revealed that SQ and PV significantly influenced CS and behavioural intention, while the perceived quality of Thai street food had no significant impact on post-COVID-19 consumer satisfaction. The study highlighted the critical role of CT in moderating the relationships between SQ, PV and CS, with distinct effects observed in groups with varying trust levels.

The research emphasises the importance of enhancing SQ and delivering value to customers in the context of Thai street food, which can contribute to increased CS, RI and positive word-of-mouth. Furthermore, the study underscores the critical role of building CT in fostering enduring customer relationships and promoting consumer satisfaction and loyalty.

This research offers valuable insights into consumer behaviour and decision-making processes, particularly within the realm of Thai street food. It underscores the significance of understanding and nurturing CT, especially in the post-COVID-19 landscape, emphasising the need for effective business strategies and consumer engagement.

This study evaluates the relative preference for local foods among foreign tourists. It also assessed how the sociodemographic profiles of tourists influence their local food preferences.

This research utilized a mixed-methods approach. The initial qualitative analysis phase involved semi-structured, in-depth interviews with stakeholders in Fiji’s local food sector, providing feedback on tourists’ preferred dishes. In the second phase, 204 foreign tourists were surveyed through the location intercept approach at various local restaurants, street food joints and eateries across Fiji. The preferences of these foreign tourists for the local food were subsequently analyzed utilizing the analytical hierarchical process (AHP) model and Chi-square statistics.

This research identified 25 local food dishes most preferred by foreign tourists. A pairwise comparison matrix revealed that “Kokoda” was most preferred, while “Tuna Ika Vakalolo” was the least preferred, and the normalized matrix presented the estimated overall priorities of the local foods based on taste and flavor. Among all the factors analyzed for their potential influence on the local food preferences of foreign tourists, “education attainment” and “marital status” were found to have no significant influence.

This study highlights the varied local dishes preferred by tourists, assessed through the AHP model, and provides the sociodemographic factors influencing these preferences. By identifying and presenting local Fijian dishes across regions and examining sociodemographics’ impact on food preference, this research provides invaluable implications for significantly benefiting the local food vending sector.

This research aims to assess the dimensions of local gastronomic image by identifying the vital gastronomic image traits utilised by foreign tourists for their evaluation of local foods while investigating any perceived disparities in the gastronomic image among Eastern and Western tourists.

It combined mixed-methods research involving 17 in-depth interviews with restaurant stakeholders in Fiji and analysis of responses from 221 foreign tourists using multivariate and descriptive statistical methodologies. A total of 25 local gastronomic image traits were assessed to understand tourists’ perceptions, which were further refined into foundational constructs through exploratory factor analysis.

Results highlighted that dishes like Kokoda, Palusami and Lovo are top favourites among both Eastern and Western tourists due to their less spicy nature. Findings also revealed that tourists positively evaluated four cognitive/perceptual dimensions of local gastronomic image: taste and freshness, culture and food authenticity, emotional food image, and quality and price value. Among all constructs, “freshness and taste” most significantly impacted foreign tourists’ satisfaction with their gourmet/culinary experiences, while “digestibility and nutritional value” showed the least value.

This research contributes to understanding how a destination’s gastronomic image influences tourists’ perceptions and how it can be effectively utilised to showcase the cultural uniqueness of destinations like Fiji.

The surge in pharmaceutical and health supplement usage among consumers aims to enhance personal well-being. This growing opportunity for pharmaceutical brands has resulted in increased market share and intensified industry competition. Using the theory of planned behaviour (TPB), this study aims to identify the factors influencing Malaysians’ choices regarding pharmaceutical and health supplements. In addition, the variable of past behaviour was incorporated to account for consumer decisions based on prior experiences.

Using purposive sampling, 300 questionnaires were gathered and analysed via Statistical Package for the Social Sciences and structural equation modelling technique via Analysis of Moment Structures software to validate the reliability of each variables and the postulated relationships within the research framework.

Results revealed a pronounced impact of past behaviour on the intention to consume pharmaceutical and health supplements. The mediating role of perceived behavioural control in bridging past behaviour and consumption intention was also ascertained. Notably, the findings support the inclusion of past behaviour in the TPB as a pivotal determinant of intention.

The insights gleaned underscore the escalating trend of pharmaceutical consumption in Malaysia, providing strategies to enhance and maintain the competitive edge and market position of pharmaceutical brands.

Estimation of solar cell parameters, mathematical modeling and the actual performance analysis of photovoltaic (PV) cells at various ecological conditions are very important in the design and analysis of maximum power point trackers and power converters. This study aims to propose the analysis and modeling of a simplified three-diode model based on the manufacturer’s performance data.

A novel technique is presented to evaluate the PV cell constraints and simplify the existing equation using analytical and iterative methods. To examine the current equation, this study focuses on three crucial operational points: open circuit, short circuit and maximum operating points. The number of parameters needed to estimate these built-in models is decreased from nine to five by an effective iteration method, considerably reducing computational requirements.

The proposed model, in contrast to the previous complex nine-parameter three-diode model, simplifies the modeling and analysis process by requiring only five parameters. To ensure the reliability and accuracy of this proposed model, its results were carefully compared with datasheet values under standard test conditions (STC). This model was implemented using MATLAB/Simulink and validated using a polycrystalline solar cell under STC conditions.

The proposed three-diode model clearly outperforms the earlier existing two-diode model in terms of accuracy and performance, especially in lower irradiance settings, according to the results and comparison analysis.

The study tests risk-taking and risk-aversion capabilities while distinguishing between business group firms and stand-alone firms and considering oil price volatility. Second, this attempt to study the linkage between risk-taking during market down movements and when the firms have established themselves as product market leaders. Third, this study analyses the “sentiment” state, where it explores the reaction of corporations when the market is in the negative direction, and lastly, it explores the linkage between product market competition and risk-aversion.

This study uses financial information for 1,273 non-financial companies and other required data from various sources. The study employs panel data and utilizes different empirical methodologies, including the generalized method of moments (GMM) estimator, to test the stated hypotheses.

We find that the business group firms have more risk-taking proficiencies compared with the stand-alone firms. Moreover, this study discovers that the corporates avoid taking risks when the market is not performing well. Also, when the market is down and crude prices are high, the management expects high earnings in the future, willingly takes risks and shows that product market leaders do not follow the risk-aversion strategy.

The empirical results indicate that oil price movement can restrict management’s behaviour when choosing a risky investment project. Management should develop a robust policy that follows the group of firms. In the policy, the management should describe the level of risk that may be taken by the firm and implement it when required.

Since we do not find any studies in this context, then there is a major and essential gap in the literature that this study should fill.

The purpose of this paper is to determine the most efficient hotels in the Indian hotel industry, the competitive positioning of these hotels, and the factors that affect their efficiency change.

This study conducts a two-stage analysis and uses data envelopment analysis (DEA) and Global Malmquist productivity index (MPI) approach in the first stage to calculate the managerial performance of a panel of 63 Indian hotels in 2019–2020 and their efficiency change from 2009–2010 to 2019–2020. Bootstrapped generalized least square (GLS) approach is applied in the second stage to evaluate the impact of contextual variables on efficiency change.

Using the results of the first stage analysis, the authors categorized the 63 Indian hotels into 7 distinct clusters. These clusters represent different levels of competitiveness and pace of growth. The GLS regression reveals a U-shaped relationship between hotel size and efficiency change and a negative relationship between pro social investments and efficiency.

This is the first study in the hotel industry that has used global MPI as a measure of efficiency change in the first stage and GLS in the second stage. In the Indian context, to the best of authors’ knowledge, no such study exists.

The authors examine whether the duration of performance shortfall in the firm impacts the real earnings management.

We find the results in the context of India, an emerging market, on a large sample set of 15,011 firm-year observations during 2006–2020.

We find that when managers continue to face short-term performance pressures, they shift their focus away from aspirational levels, prefer not to engage in strategic actions to address performance shortfalls and engage in opaque actions of real earnings management. We discover that this baseline relationship for business group-affiliated firms is stronger; however, the moderation effect is weaker under stronger corporate governance and the involvement of high-quality auditors.

The study suggests that the governing council of firms, such as the board of directors, must pay additional attention to underperforming firms, as a longer duration of performance shortfall may induce firms to engage in earnings management, which is detrimental to the long-term viability of organizations. Government authorities should pay close attention to the choices made by managers, especially when their performance is subpar. Furthermore, the government has the option to implement policies or offer financial assistance, such as special funds, to incentivize companies to refrain from participating in manipulation activities.

This is the first study to examine corporate misconduct through the lens of the “threat rigidity hypothesis,” which has significant implications for the management literature.