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Fashion brands are one of the strongest means of expressing consumers identity. This study explores and empirically validates the concepts of brand love and hate for masstige fashion brands from the purview of emerging markets. This study deciphers three components of masstige fashion brand promise through the lens of hedonic identity, uniqueness and expected social gains for the affluent middle-class consumers. The model is complemented by the impact of environmental and society’s well-being.

Empirical evidence was obtained through an online survey in India. Total of 222 complete responses were used to test hypotheses by fitting a model with the partial least squares algorithm.

Fashion brand love is triggered by consumers’ hedonic identity and expected social gains. Brand hate is fuelled by environmental and societal well-being concerns, expected social gains and uniqueness. Theoretical contribution is threefold: First, the relevance of social and environmental consequences reflecting consumers’ accepted responsibility for their masstige consumption is introduced. Second, the study deciphers the emotions related to masstige brand love and brand hate for emerging market’s affluent middle-class. Third, empirical results contribute to the ongoing discussion on whether brand hate and love are two distinct concepts or collapse to be two extremes of one and the same continuum.

Middle-class consumers in India are strict in their avoidance and rejection of the lower classes’ preferred fashion brands. Targeting must consider the social classes hierarchy. Marketing-mix design, particularly prices and distribution networks, need to enable a distinction between the social classes.

Masstige fashion brand love and hate turn out to be two distinct constructs that co-exist rather than being two extremes of one and the same dimension.

Indian middle-class consumers satisfy their need of environmental and social caretaking by avoidance and brand hate but continue to choose masstige brands to demonstrate social status and are not modernizing their traditional accumulative materialism.

I aimed to analyze and synthesize the literature on sustainable HRM and its sub-concepts, such as green HRM and socially responsible HRM, with the focus on research conducted in the Visegrad Group (V4) countries. I posed the following research questions: (1) What are the main characteristics of sustainable HRM research in the worldwide literature? (2) What are the main characteristics of research conducted in the V4 countries? (3) Which future research directions are promising gaps to be filled by research conducted in V4 countries?

For the purpose of this study, I applied bibliometric analysis, scientific network analysis and in-depth content analysis.

The results of the analyses of articles indexed in the Scopus database revealed that there is a growing trend in research on sustainable HRM. However, scarce research comes from the V4; scholars have conducted such studies only in Slovakia and Poland. There are five thematic clusters in the main sample, though the concept of green HRM has been explored the most. Although the keyword network analysis showed that the V4 articles focus mostly on sustainable HRM, the in-depth content analysis provided evidence that the V4 sample represented all concepts.

This is the first study to analyze the achievements of scientists from the V4 in this research field. It applies methodological rigor and a mixed-method approach. Moreover, it presents directions of research that go beyond the recommendations presented in the analyzed articles.

The purpose of this article is to meet Professor Paul T.P. Wong, PhD, CPscyh, who is based at the Department of Psychology, Trent University, Peterborough, Ontario, Canada. Wong represents an interesting case of how a racial/cultural minority could achieve success in a hostile environment consisting of the systemic biases of injustice, discrimination and marginalization. His life also epitomizes how one can experience the paradoxical truth of healing and flourishing in an upside-down world through the positive suffering mindset (PSM).

This case study is presented in two sections: a positive autoethnography written by Wong, followed by his answers to ten questions. The core methodology of positive autoethnography allows people to understand how Wong’s life experience of being a war baby in China, a constant outsider and a lone voice in Western culture, has shaped a very different vision of meaning, positive mental health and global flourishing.

Wong reveals how to live a life of meaning and happiness for all the suffering people in a difficult world. He has researched the positive psychology of suffering for 60 years, from effective coping with stress and searching for meaning to successful aging and positive death. According to Wong’s suffering hypothesis and the emerging paradigm of existential positive psychology (Wong, 2021), cultivating a PSM is essential for healing and flourishing in all seasons of life.

An expanding literature has been developed to illustrate why the missing link in well-being research is how to transcend and transform suffering into triumph. Wong reveals how this emerging area of research is still not fully embraced by mainstream psychology dominated by the individualistic Euro-American culture, and thus why, in an adversarial milieu, existential positive psychology is limited by its inability to attract more researchers to test out Wong’s suffering hypothesis.

The wisdom and helpful tools presented here may enable people to achieve mature happiness and existential well-being even when they have a very painful past, a very difficult present and a bleak future.

This autoethnographic case study offers new grounds for hope for all those who are injured by life, marginalized by systemic biases or tormented by chronic illnesses and disorders. It also provides a road map for a better world with more decent human beings who dare to stand up for justice, integrity and compassion.

Meaning as reflected in suffering is according to Wong the most powerful force to bring out either the worst or the best in people. The new science of suffering shows us how the authors can achieve positive transformation through cultivating a PSM, no matter how harsh one’s fate may be.

Depression is a mental health problem characterized by a persistent sense of sadness and loss of interest. EEG signals are regarded as the most appropriate instruments for diagnosing depression because they reflect the operating status of the human brain. The purpose of this study is the early detection of depression among people using EEG signals.

(i) Artifacts are removed by filtering and linear and non-linear features are extracted; (ii) feature scaling is done using a standard scalar while principal component analysis (PCA) is used for feature reduction; (iii) the linear, non-linear and combination of both (only for those whose accuracy is highest) are taken for further analysis where some ML and DL classifiers are applied for the classification of depression; and (iv) in this study, total 15 distinct ML and DL methods, including KNN, SVM, bagging SVM, RF, GB, Extreme Gradient Boosting, MNB, Adaboost, Bagging RF, BootAgg, Gaussian NB, RNN, 1DCNN, RBFNN and LSTM, that have been effectively utilized as classifiers to handle a variety of real-world issues.

1. Among all, alpha, alpha asymmetry, gamma and gamma asymmetry give the best results in linear features, while RWE, DFA, CD and AE give the best results in non-linear feature. 2. In the linear features, gamma and alpha asymmetry have given 99.98% accuracy for Bagging RF, while gamma asymmetry has given 99.98% accuracy for BootAgg. 3. For non-linear features, it has been shown 99.84% of accuracy for RWE and DFA in RF, 99.97% accuracy for DFA in XGBoost and 99.94% accuracy for RWE in BootAgg. 4. By using DL, in linear features, gamma asymmetry has given more than 96% accuracy in RNN and 91% accuracy in LSTM and for non-linear features, 89% accuracy has been achieved for CD and AE in LSTM. 5. By combining linear and non-linear features, the highest accuracy was achieved in Bagging RF (98.50%) gamma asymmetry + RWE. In DL, Alpha + RWE, Gamma asymmetry + CD and gamma asymmetry + RWE have achieved 98% accuracy in LSTM.

A novel dataset was collected from the Central Institute of Psychiatry (CIP), Ranchi which was recorded using a 128-channels whereas major previous studies used fewer channels; the details of the study participants are summarized and a model is developed for statistical analysis using N-way ANOVA; artifacts are removed by high and low pass filtering of epoch data followed by re-referencing and independent component analysis for noise removal; linear features, namely, band power and interhemispheric asymmetry and non-linear features, namely, relative wavelet energy, wavelet entropy, Approximate entropy, sample entropy, detrended fluctuation analysis and correlation dimension are extracted; this model utilizes Epoch (213,072) for 5 s EEG data, which allows the model to train for longer, thereby increasing the efficiency of classifiers. Features scaling is done using a standard scalar rather than normalization because it helps increase the accuracy of the models (especially for deep learning algorithms) while PCA is used for feature reduction; the linear, non-linear and combination of both features are taken for extensive analysis in conjunction with ML and DL classifiers for the classification of depression. The combination of linear and non-linear features (only for those whose accuracy is highest) is used for the best detection results.

This study aims to fill various gaps detected in the literature on mass prestige (hereafter referred to as masstige) theory. The originality of the work stems from the multidimensional application of Paul’s (2015) model, the introduction of brand addiction as a construct from the consumer-brand relationship (CBR) theory within the context of wines and the exploration of a new and less studied sector in masstige strategies.

A structured questionnaire was distributed to collect data from masstige wine brand buyers in Portugal, of whom 166 completed the questionnaire correctly. A conceptual model was developed and tested using partial least squares structural equation modelling.

The findings include that only two dimensions of Paul’s (2015) masstige scale affect brand addiction: brand knowledge and excitement and status. Brand addiction has a positive effect on brand loyalty and electronic word of mouth (eWOM), and brand loyalty has a positive impact on eWOM. Theoretical and managerial implications were explored.

This research added a CBR perspective to masstige theory and applied masstige theory to wine brands for the first time. These three distinctive aspects collectively contribute to the novelty and significance of the research, opening up exciting possibilities for future investigations and providing a valuable contribution to the academic community and the wine industry alike.

Researchers have widely explored and associated corporate social responsibility with firm success. Measuring the relationship between corporate social responsibility (CSR), service quality, corporate reputation, and brand preference by drawing on the stakeholder theory in healthcare industry and developing countries remains a substantial research gap.

Based on quantitative research and convenience sampling, data for the study were collected from 320 patients who have undergone treatments in 5 different private hospitals in Tehran, Iran. We analyzed the data using the Smart PLS 3.0 structural equation modeling technique.

The survey revealed that service quality and CSR are positively linked with corporate reputation, leading to brand preference in the healthcare sector. In addition, the mediating role of brand reputation in the relationship between corporate social responsibility, service quality and brand preference were confirmed.

The survey was performed in the context of the healthcare industry; however, additional studies are necessary to extrapolate the results to other fields, such as education and food. This research helps guide policymakers, administrators, healthcare managers, and researchers by highlighting the contribution and role of service quality, corporate social responsibility, and corporate reputation in achieving a hospital’s performance.

To the best of the authors’ knowledge, this study also extends research in the diverse literature by examining the relationship between CSR, service quality, corporate reputation, and brand preference by illustrating the stakeholder theory in the context of the healthcare sector.

Country comparative studies especially in Africa on public procurement reforms toward financial control and accountability of public expenditure are limited. Meanwhile, these kinds of studies have potential for providing useful insights on how value for money through public procurement is being ensured across Africa. This paper attempts to provide this. The purpose of this paper is to highlight several policy recommendations for public management aimed at improving public procurement and public financial management (PFM) systems in Africa.

The paper adopts a qualitative case study using secondary data drawn from Global Integrity Index (GII) of the Transparency International and the World Bank’s Country Policy and Institutional Assessments databases to investigate variables that influence public procurement practices in three purposively selected African countries. The comparative approach for presenting some of the experiences of countries in public procurement methods is used in this paper.

The findings suggest three main variables, namely, government structure and economic variables, complicated by socio-cultural values interact to influence public procurement and PFM systems in the case study countries.

Data for the GII indicators used were only available from 2013, which restricted the discussion of those indicators to a short span (2013–2015).

The socio-cultural milieu within which public procurement takes place has implications for how governance structures function to deliver value-for-money public procurement.

This study adds value by comparing three countries within Africa to reveal common variables which influence public procurement and PFM systems.

Nowadays, in building structures, dampers are connected to the building structure to reduce the damages caused by seismicity in addition to enhancing structural stability, and to connect dampers with the structure, joints are used. In this paper, three different configurations of double-lap joints were designed, developed and tested.

This paper aims to analyze three different categories of double-lap single-bolted joints that are used in connecting dampers with concrete and steel frame structures. These joints were designed and tested using computational, numerical and experimental methods. The studies were conducted to examine the reactions of the joints during loading conditions and to select the best joints for the structures that allow easy maintenance of the dampers and also withstand structural deformation when the damper is active during seismicity. Also, a computational analysis was performed on the designed joints integrated with the M25 concrete beam column junction. In this investigation, experimental study was carried out in addition to numerical and computational methods during cyclic load.

It was observed from the result that during deformation the double-base multiplate lap joint was suitable for buildings because the deformations on the joint base was negligible when compared with other joints. From the computational analysis, it was revealed that the three double joints while integrated with the beam column junction of M25 grade concrete structure, the damages induced by the double-base multiplate joint was negligible when compared with other two joints used in this study.

To prevent the collapse of the building during seismicity, dampers are used and further connecting the damper with the building structures, joints are used. In this paper, three double-lap joints in different design configuration were studied using computational, numerical and experimental techniques.

A novel phenomenon in product and service promotions, social coupons facilitate group buying at lower prices, bringing key benefits to customers, merchants and coupon aggregators. This study maps the evolution and innovations in social couponing, identifies knowledge gaps in the domain and sets the future research agenda.

Through a detailed systematic literature review and bibliometric analysis, this study maps the evolution of social coupons over time. The analysis examines social coupon research by studying research outputs by authors, institutes, countries and research themes. It also explores how the social couponing phenomenon has benefited the three key stakeholders: customers, merchants and coupon aggregators.

An innovation in couponing, social coupons are discount coupons that feature group buying, pre-purchase and daily deals. Based on the extensive review of extant literature, the study proposes a conceptual model for the social couponing process. The study also provides inputs for future research on social coupons and delineates their academic and managerial implications.

This study makes a pioneering endeavor to comprehensively map the knowledge structure of social coupons from multiple dimensions.

The purpose of this study is to explore the review mechanisms’ efficacy from the perspective of cold case reviewers. Live homicide review mechanisms at the 7- and 28-day stage of an inquiry seek to prevent the case becoming cold (or unsolved) by ensuring lines of inquiry have been suitably identified and progressed. There is also a requirement to ensure the investigation was not swayed by faulty decision-making or cognitive biases. However, the use of the review processes in preventing unsolved cases is unclear, and not subject to much academic discussion.

This exploratory study explores the review functions through the lens of cold case detectives, currently reviewing unsolved cases to identify progression opportunities. The study uses data from a seven-month, non-participatory observation period with a two-force collaborative cold case unit and 13 semi-structured interviews with cold case review officers. The observations and interviews were simultaneously analysed adhering to an inductive approach to Thematic Analysis.

The results show procedural guides (e.g. the Major Crime Investigation Manual) are important quality assurance mechanisms for review officers, helping ensure the appropriate and necessary lines of inquiry have been pursued. However, they were keen to emphasise the importance of intuition in progressing cases but felt continuously hindered by a lack of resources and large numbers of applicable cases. To the best of the authors’ knowledge this study is the first exploration of cold case detective’s experiences of the live review processes and how they may pose challenges in case progression for cognitive errors and biases. While the study has identified some challenges facing review officers in nine police forces across the UK, wider examination of policies, practices and mechanisms should be explored to develop the current procedural guidance (e.g. NPCC, 2021).

To the best of the authors’ knowledge this exploratory study is the first exploration of cold case detective’s experiences of the live review processes and how they may pose challenges in case progression for cognitive errors and biases. While the study has identified some challenges facing review officers in nine police forces across the UK, wider examination of policies, practices and mechanisms should be explored to develop the current procedural guidance (e.g. NPCC, 2021).