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In current era, retaining the best-performing employees has become essential for businesses to compete in the dynamic technological landscape. Consequently, organizations must ensure that their star performers believe that company’s reward and recognition (R&R) system is fair and equal. This study aims to use an explainable machine learning (eXML) model to develop a prediction algorithm for employee satisfaction with the fairness of R&R systems.

The current study uses state-of-the-art machine learning models such as Naive Bayes, Decision Tree C5.0, Random Forest and support vector machine-RBF to predict employee satisfaction towards fairness in R&R. The primary data used in the study has been collected from the employees of a large public sector undertaking from an emerging economy. This study also proposes a novel improved Naïve Bayes (INB) algorithm, the efficiency of which is compared with the state-of-the-art algorithms.

It is seen that the proposed INB model outperforms the state-of-the-art algorithms in many scenarios. Further, the proposed model and feature interaction are explained using the explainable machine learning (XML) concept. In addition, this study incorporates text mining techniques to corroborate the results from XML and suggests that “Transparency”, “Recognition”, “Unbiasedness”, “Appreciation” and “Timeliness in reward” are the most important features that impact employee satisfaction.

To the best of the authors’ knowledge, this is one of the first studies to use INB algorithm and mixed method research (text mining along with machine learning algorithms) for the prediction of employee satisfaction with respect to the R&R system.

Emotional labour (EL) is a complex phenomenon that has received increasing attention in recent years due to its impact on employee’s well-being and job satisfaction. For a comprehensive understanding of the evolving field of EL, it is important to extract different research trends, new developments and research directions in this domain. The study aims to reveal 13 prominent research topics based on the topic modelling analysis.

Using latent Dirichlet allocation (LDA) method, topic modelling is done on 1,462 journal research papers published between 1999 and 2023, extracted from the Scopus database using the keyword “EL”.

The analysis identifies several emerging trends in EL research, including emotional regulation training and job redesign. Similarly, the topics like EL strategies, cultural differences and EL, EL in hospitality, organizational support and EL, EL and gender and psychological well-being of nursing workers are popular research topics in this domain.

The findings provide valuable insights into the current state of EL research and can provide a direction for future research as well as assist organizations to design practices aimed at improving working conditions for employees in various industries.

Topic modelling on emotional labor is done. The paper identifies specific topics or clusters related to emotional labor, quantifies these topics using topic modeling, adds empirical rigor, and allows for comparisons across different contexts.

Sustainable human resource management (SuHRM), which aims to achieve positive environmental, social and economic outcomes at the same time, has gained prominence across industries. However, the challenges of implementing SuHRM across industries are largely under-studied. The purpose of this study is to identify the grey areas in the field of SuHRM by using an unsupervised learning algorithm on the abstracts of 607 papers published in prominent journals from 1995 to 2023. Most of the articles have been published post-2018.

The analysis of the data (abstracts of the selected articles) has been done using topic modelling via latent Dirichlet algorithm (LDA).

The output from topic modelling-LDA reveals nine primary focus areas of SuHRM research – the link between SuHRM and employee well-being; job satisfaction; challenges of implementing SuHRM; exploring new horizons in SuHRM; reaping the benefits of using SuHRM as a strategic tool; green HRM practices; link between SuHRM and organisational performance; link between corporate social responsible and HRM.

The insights gained from this study along with the discussions on each topic will be extremely beneficial for researchers, academicians, journal editors and practitioners to channelise their research focus. No other study has used a smart algorithm to identify the research clusters of SuHRM.

By utilizing topic modeling techniques, the study offers a novel approach to analyzing and understanding trends and patterns in HRM research related to sustainability. The significance of the paper would be in its potential to shed light on emerging areas of interest and provide valuable implications for future research and practice in Sustainable HRM.

The level of consumer satisfaction (CS), dissatisfaction (CD) and complaint behaviours (CCB) is beginning to receive increased attention from practitioners and researchers. Most studies, however, have tended to investigate the cause and/or effects of (dis)satisfaction or complaint behaviours. Relatively less work has been done to understand the relationship between dissatisfaction (CD) and complaint behaviours (CCB). This relationship is examined expirically. From a critical evaluation of previous research, hypotheses for the non‐linear relationship and the moderating role for CD and CCB are developed for an exploratory study. Using data on banking and financial services dissatisfaction, these hypotheses are investigated empirically. The results suggest that CD plays a broad and pervasive role (i.e. linear, non‐linear, moderator) depending upon the CCB dimension considered. Several implications of the results for managers are discussed and guidelines for dissatisfaction management are provided.

This article documents instances of racism that have previously acted as barriers to Indian students' academic success in Australia. It is felt that such incidents would not have happened to students from, for example, China or Japan, as their governments would have taken more serious steps against the Australian government. There is a feeling in India that the Indian government can be seen as weak. Against this background, the article looks at potential reasons for racially motivated attacks against Indians in Australia, and at what can be done to reduce these, as well as both the Australian and Indian government responses to the particular instances reported.

This study focuses on Aaker's Brand Equity Model, to check the effect of brand equity determinants on booking intention (BI) for ridesharing in India. The study also explores the moderation of ecologically conscious consumer behavior (ECCB) on the multiplicative effect of brand awareness (BAw), brand association (BA) and perceived quality (PQ) in influencing the BI.

Responses from 393 Indian ridesharing users were collected using judgmental sampling and were analyzed using Hayes Process macro.

The study found a direct relationship between BAw and BI, BAw and BA, BAw and PQ, BA and PQ, PQ and BI, and BA and BI. Findings revealed mediation of BA in BAw and BI relationship and PQ in BAw and BI relationship. Results revealed that BA and PQ serially mediate BAw and BI relationship. ECCB moderates PQ and BI relationship but not BAw and BI relationship.

Serial mediation and moderated-mediation results draw various theoretical implications for determinants of Aaker's Brand Equity model and ECCB.

The research has several implications for managers in view of brand equity determinants and ECCB. The study also contributes to policy implications.

Study's novel contributions are mediation, serial mediation between brand equity determinants, and moderation of ECCB between BAw and BI for ridesharing.

Known for its motto “All Ages, All Races, All Genders,” MAC cosmetics reflects the brand’s commitment to inclusivity and diversity. It has been at the forefront of promoting a wide range of skin tones, ethnicities and gender identities in the beauty industry. If you have ever wondered about the secret behind the success of this mega-brand in the beauty industry, this case study aims to provide a comprehensive overview of the company’s history from its early days to the present and discusses the factors that might build or ruin a brand. Moreover, players in the industry will need to adapt to changing consumer preferences, focus on sustainability and leverage digital technologies to remain relevant and capture market opportunities. Therefore, would it be wise for MAC cosmetics to take forward their expansion plans in India, and what is the motivation behind the expansion? Alternatively, would the implementation of a proactive strategy for product innovation, combined with a stronger presence, result in a more viable and sustainable proposition?

This study relies on online resources for data collection. The data was collected from the secondary sources in the month of November and December 2022. Moreover, the information provided in the case study was validated and supplemented via using different websites, including the company’s website and social media profiles.

The commitment shown and the roles played will have a lasting impact on the society. Additionally, student will be able to learn when and how to seize opportunities, as well as how to manage obstacles that will arise in their entrepreneurial journey. Through this case study, they will be able to learn a variety of business strategies that can be implemented in emerging markets. The conclusion of the study provides the obstacles and hurdles faced by the industry in expanding in the Indian market. The potential solutions were made through providing information for the students, academicians, entrepreneurs and others to compete in the Indian market situation.

This is a real-world case that provides the audience with first-hand experience to comprehend the event and apply their knowledge to form a conclusion and is also effective for decision-making in the dynamic environment of the present day. However, the authors provide a comprehensive overview of the company’s history from its early days to the present and discuss the factors that might build or ruin a brand.

This study aims at assessing entrepreneurial business performance (EBP) from dynamic capability (DC) and technology-organization-environment (TOE) framework perspectives, taking support from crowdfunding.

With the inputs from the literature, supported by TOE framework and the dynamic capability view (DCV), a model has been proposed. This model has been tested by the factor-based partial least squares structural equation modeling (PLS-SEM) technique through a survey and quantifying the responses of 406 respondents on a five-point Likert scale has been used.

The study has found that crowdfunding support (CFS) has an effective influence on the improvement of EBP. Also, the DC supports to improve the EBP. Environmental dynamism (END) has also a critical role in impacting business performance.

Crowdfunding involves investors who have a similar interest in the business, close friends, family members, venture capitalists, investment groups, etc. Thus, the proposed model can be used by these stakeholders for investment purposes as well as for improving EBP. This study is a cross sectional research work which has limitations. Moreover, the sample size of this project is limited and did not include global respondents, Thus, the findings of this study cannot be generalizable which is another limitation of this study.

Crowdfunding involves investors who have a similar interest in the business, such as close friends, family members, venture capitalists, investment groups, etc. Thus, the proposed model can be used by these stakeholders for investment purposes as well as for improving EBP. The study can help policymakers understand the importance of crowdfunding in promoting entrepreneurship activities in a region, which helps in the economic development of that region.

This research work enriches the extant literature in the fields of crowdfunding and investment, DC and entrepreneurship. Not many studies have dealt with the issues of CFS for the improvement of EBP. Hence, this study may be considered novel. Moreover, the proposed research framework related to crowdfunding possesses a high predictive power. This makes the study unique.

Considering food waste as a global problem resulting from the wastage of valuable resources that could fulfil the requirements of malnourished people, the current research focusses on understanding consumerism’s impact on this phenomenon. Additionally, the circular economy (CE) approach can be critical in reducing food waste and promoting sustainability.

A systematic literature review was conducted using bibliometrics and network analysis. The study reviewed 326 articles within 10 years, from 2013 to 2023.

The findings reveal four prominent factors – behavioural, environmental, socioeconomic and technological – in managing food waste (FW). Reducing FW at a holistic level can benefit individuals and the environment in several ways.

Consumers are encouraged to be more responsible for their food consumption by reducing food waste, as it affects societies and businesses both economically and environmentally. This can help promote a responsible consumption culture that values quality over quantity and encourages people to make more informed choices about what they eat and how they dispose of it post-consumption. All stakeholders, including firms, the government and consumers, must examine the motives behind inculcating pro-environmental behaviour.

Addressing consumerism and the ability to decrease FW behaviour are complex issues that require a multidimensional approach. This study seeks to fill the gap in understanding consumerism and the capacity to reduce FW using the CE approach and understand the research gaps and future research trends.

The paper identifies the antecedents and consequences of integrated supply chain performance (ISCP) in healthcare systems.

Based on a review of the literature constructs of supply chain flexibility (SCF), employee relationships (ERs), organizational orientation (OO) and knowledge exchange (KE) were identified as antecedents of ISCP, and patient centricity (PC) emerged as its consequence. This structural relationship was tested using partial least square structural equation modeling (PLS-SEM).

ERs, SCF, OO and KE positively impacted the performance of an integrated healthcare supply chain. Furthermore, enhanced ISCP in operational processes of the hospital positively influenced patient centeredness and care quality.

Paper contributes by identifying antecedents and consequences of ISCP. Future researchers may explore the inter-relationships among the antecedents of ISCP.

Insights from this study will help practitioners in enhancing hospital operations by integrating processes along the healthcare service supply chain and developing a patient-centric approach.

This paper highlights how PC may be achieved by focusing on a facilitative internal environment. This understanding may help in designing processes that deliver health as a social good in an effective manner.

The empirical evidence from this study can help hospitals integrate their functions, thus, enabling them to deliver quality care.