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This chapter The Grass Is Greener Where You Water It! delves deeper into explicating Employee Green Behaviour (EGB), which outlines the eco-friendly behaviours practiced by employees. The section provides a more thorough explanation of EGB, including its origins, theoretical foundations, and practical applications in a social and physical environment to create environmentally conscious workplaces. The in-role and extra-role of EGB are discussed to strengthen its execution, and its significance considering the present ecological exigency. This chapter outlines the five-features-hierarchical framework for EGB: Sustainability Initiatives, Non-Harmful Action, Resource Conservation, Peer Influence, and Individual Commitment. The environmental history, ecosystems, and biodiversity and their interaction with humans from the ancient period to the present day are provided. The later unit explores organizational plans to encourage EGB, focussing on the role of HR policies, practices, and systems in nurturing the culture of sustainability within organizations. This chapter reviews current studies on EGB, emphasizing the role of employee engagement, transformational environmental leadership, and corporate culture in promoting green practices. It contributes to the academic literature by analyzing EGB, its relevance, and the effects it can have on organizations and society. It is a great tool for academics, government officials, and business heads to make workplaces environmentally friendly.

This study aims to investigate the distinctive personality traits and characteristics of individuals with borderline intellectual functioning (BIF) and mild intellectual disability (MID) within specialized centers for MID-BIF treatment and care compared with individuals without MID-BIF diagnosis gathered from general mental health care (GMH) settings.

Patients classified with MID-BIF (n = 58), most with comorbid psychopathology, were thoroughly interviewed by trained clinicians who afterward completed the Shedler–Westen Assessment Procedure (SWAP-200) about the patient. The authors compared SWAP-200 profiles of MID-BIF patients with profiles of GMH individuals. In addition, the authors have compared these profiles for the MID and BIF groups (differentiated based on previously known intelligence quotient scores).

Results show significantly higher scores for the MID-BIF group than the GMH group on scales encompassing emotional instability, impulsivity and antagonism. On scales containing constraint and healthy traits, significantly lower scores were found for the MID-BIF group than for the GMH group. Importance of including SWAP-200 personality assessment for a more comprehensive understanding and treatment planning for individuals with MID-BIF is discussed.

This study offers insights into personality within individuals with an MID-BIF diagnosis, compared with individuals in a GMH setting.

Presently gender inequality and women's nutrition are the most concerning area of any development policy. Recent empirical evidence emphasizes that gender inequality decreases over time and the on the other hand percentage of overweight (OW) and obesity for women, especially in developing countries, increases over time. However, the relationship between these two phenomena (gender inequality and obesity) has rarely been investigated. Using time series yearly data (1990–2016) from the Nutrition Landscape Information Systems (NLiS) database of World Health Organisation (WHO) for India, we apply standard time series analysis including break test, stationarity test, cointegration test, and vector error correction model (VECM) to estimate the relationship between gender inequalities and percentage of females OW and obese. Our results show that there is a long-run relationship between these variables. Moreover, we also find that a decrease in gender inequality influences the increase in the number of females under OW and obese. In conclusion, the findings of this study reveal that, while elevating the position of women in society may be an important step toward combating the epidemic of OW and obesity, strategies must also tackle unhealthy habits that promote obesity.

This paper aims to present a literature review of the most recent optimisation methods applied to Credit Scoring Models (CSMs).

The research methodology employed technical procedures based on bibliographic and exploratory analyses. A traditional investigation was carried out using the Scopus, ScienceDirect and Web of Science databases. The papers selection and classification took place in three steps considering only studies in English language and published in electronic journals (from 2008 to 2022). The investigation led up to the selection of 46 publications (10 presenting literature reviews and 36 proposing CSMs).

The findings showed that CSMs are usually formulated using Financial Analysis, Machine Learning, Statistical Techniques, Operational Research and Data Mining Algorithms. The main databases used by the researchers were banks and the University of California, Irvine. The analyses identified 48 methods used by CSMs, the main ones being: Logistic Regression (13%), Naive Bayes (10%) and Artificial Neural Networks (7%). The authors conclude that advances in credit score studies will require new hybrid approaches capable of integrating Big Data and Deep Learning algorithms into CSMs. These algorithms should have practical issues considered consider practical issues for improving the level of adaptation and performance demanded for the CSMs.

The results of this study might provide considerable practical implications for the application of CSMs. As it was aimed to demonstrate the application of optimisation methods, it is highly considerable that legal and ethical issues should be better adapted to CSMs. It is also suggested improvement of studies focused on micro and small companies for sales in instalment plans and commercial credit through the improvement or new CSMs.

The economic reality surrounding credit granting has made risk management a complex decision-making issue increasingly supported by CSMs. Therefore, this paper satisfies an important gap in the literature to present an analysis of recent advances in optimisation methods applied to CSMs. The main contribution of this paper consists of presenting the evolution of the state of the art and future trends in studies aimed at proposing better CSMs.

This paper aims to explore the role of source credibility while purchasing environment-friendly products using Ajzen’s (1991) theory of planned behavior as underpinning model.

The proposed theoretical model was empirically tested with the data collected from 334 respondents using structural equation modeling.

The results gave empirical support to the addition of source credibility to the original theory of planned. Moreover, consumer attitude was found mediating the effect of corporations’ credibility on purchase intention. Also, attitude and perceived behavioral control were found as the most important predictors of consumer’s intention to purchase environment-friendly products.

This study provides valuable insights for the marketers engaged in sustainable business practices. Amid, ever-increasing carbon emission, promoting the use of environment-friendly products has become the need of the time. Credibility plays a crucial role while promoting and communicating an organization’s sustainable practices among its stakeholders including consumers. Therefore, the marketer should formulate appropriate marketing communication strategy to communicate the consumer about the green practices and environment-friendly products they produce. The results suggest that corporation’s credibility shapes consumer attitude and influences intention to purchase environment-friendly products. Earning trust of the consumer is pivotal to achieve success in the market. Therefore, results may help the marketers to better understand consumer’s response toward their marketing strategies and further convince and persuade them to buy their products.

The findings of this study may be useful for marketers, strategists, policymakers and government while formulating promotional strategies to make consumer aware, educate and persuade them to purchase products which do not cause harm to the environment.

The study is novel in terms of exploring role of source credibility and extending theory of planned behavior in the context of sustainable consumption.

The construction industry and its activities harmfully affect the environment. Hence, adopting green building (GRB) practices can be helpful in achieving sustainable development goals. Therefore, this study aims to identify the factors affecting the intention to adopt GRB practices by extending theory of planned behavior (TPB).

Using non-probability purposive sampling technique, data was gathered from consultant and contractor engineers in the construction industry through a questionnaire. The analysis was done using partial least square-structural equation modeling technique on a useful sample of 290.

Findings revealed that the core constructs of TPB [i.e. attitude (AT), subjective norms (SUBN) and perceived behavioral control (PBC)] significantly affect the intention to adopt GRB practices. Moreover, government support and knowledge of green practices (KNGP) were found to be critical influencing factors on AT, SUBNs and PBC. Lastly, the findings confirmed that environmental concerns (ENC) play as a moderating between SUBN and intention to adopt GRB practices, as well as AT and intention to adopt GRB practices.

This study contributes to existing knowledge on GRB, offering evidence base for policy choices regarding climate change adaptation and mitigation in the construction industry.

This study provides insights from the perspective of a developing economy and confirms the applicability of TPB in the adoption of GRB practices. Moreover, this study confirms the moderation role of ENC in between TPB constructs and intention to GRB that is not tested earlier in the context of GRB. This study also confirms that government sustainable support positively affects PBC, and KNGP significantly affects SUBNs.

The purpose of this study is to investigate the relationship between tourism authenticity and tourism experience and its implications for tourists' intention to make repeat visits in the context of cultural festivals.

This study uses descriptive quantitative and partial least square analysis by discussing six direct and five indirect relationships in the model. This study used a purposive sampling technique, with a total sample of 189 respondents who were collected through a survey of tourists who had visited the Reog Ponorogo National Festival. This study uses SmartPLS SEM to analyze the data.

The results show that this study extends its practical, policy and theoretical implications to cultural festival stakeholders. In addition, the findings of this study indicate that objective and constructive authenticity have a positive and significant effect on tourist experience. Meanwhile, tourist experience has a positive and significant effect on revisit intention. The mediating role of tourist experience also has a positive and significant effect.

Event tourism that favors the culture of local wisdom shows originality and becomes an attraction for tourists to visit which affects experience and revisit intention. This study focuses on the attributes of authenticity to tourist experience and revisit intention, in which tourist experience acts as a mediation.

The purpose of this study is to examine the alignment between the risk hedging strategy and supplier collaboration and its effect on manufacturing competitiveness.

Building on the resource-based view (RBV) and contingency theory (CT), this study is guided by a positivist philosophy and employs a survey strategy to investigate both the direct relationship between the risk hedging strategy and manufacturing competitiveness and the moderating role of supplier collaboration using data collected from 397 respondents of manufacturing firms. Partial least squares structural equation modeling (PLS-SEM) technique is used to analyze collected data and to present the research findings.

Consistent with the RBV and CT, study findings indicate that a significant positive relationship exists between the risk hedging strategy and manufacturing competitiveness and that this relationship becomes stronger when supplier collaboration is interactively aligned. Study findings provide important insights on the role of the risk hedging strategy in promoting manufacturing competitiveness. Furthermore, supplier collaboration as a moderator accounts for a significant proportion of the relationship between the risk hedging strategy and manufacturing competitiveness.

Internal resources provide an explanation of the competitive differences among firms employing the risk hedging strategy. However, the environment presents opportunities for firms to acquire additional resources to fulfil the unique collaborative requirements of the risk hedging strategy. This study has used the moderation perspective to explain the interaction between the risk hedging strategy and supplier collaboration and its effect on manufacturing competitiveness. Future studies could incorporate other alignment concepts such as mediation and systems approach and compare the results to improve the theory.

This study can be considered as its kind in the supply chain management literature and both practitioners and researchers can benefit from the experience of resource-based and contingency analysis research and the results of aligning the risk hedging strategy with supplier collaboration for higher levels of manufacturing competitiveness.