Browse Items (14421 total)
Sort by:
-
How Green Consumption Value Affects Green Consumer Behaviour: The Mediating Role of Consumer Attitudes Towards Sustainable Food Logistics Practices
The aim of the study is to identify the green consumption values and production patterns and understand how they impact consumer behaviour and purchase intention of green consumers, in particular, the environment-conscious youth in the city of Bangalore. The focus of the study is on the pre-purchase sustainable logistics of food products and how they impact behaviour and attitudes of green consumers. The theory of planned behaviour and social cognitive theory form the theoretical base for the current research. An online survey was conducted among 284 participants in and around the scope area. Confirmatory factor analysis and structural equation modelling were used to test the hypotheses. The results showed that green consumption values and consumer attitudes towards sustainable food logistics either directly or indirectly influence green purchase intention and environmentally conscious behaviour towards food products. The main contribution of this study is the identification of new multidimensional constructs which can be used to measure green consumer attitude in terms of sustainable food logistics practices in the Indian context. These findings will empower managers and future researchers to understand how sustainable food logistics practices can create green consumer attitudes. They will also assist food production companies to identify possible opportunities, developments and other benefits they can derive from following sustainable food logistics practices. 2021 Management Development Institute. -
How much can we trust high-resolution spectroscopic stellar chemical abundances?
To study stellar populations, it is common to combine chemical abundances from different spectroscopic surveys/studies where different setups were used. These inhomogeneities can lead us to inaccurate scientific conclusions. In this work, we studied one aspect of the problem: When deriving chemical abundances from high-resolution stellar spectra, what differences originate from the use of different radiative transfer codes? 2016 Proceedings of the 12th Scientific Meeting of the Spanish Astronomical Society - Highlights of Spanish Astrophysics IX, SEA 2016. All rights reserved. -
How Much Governance Is Too Much?: Framing Future Directions for State Involvement in Sustainable Dark Tourism
With the growing institutionalisation of dark tourism into national heritage discourses and tourism economies, the issue of what level of state intervention is most appropriate has become an urgent and critical point of discussion. Although the subjects of visitor motivations, site interpretation, and ethical dilemmas have been well covered in the existing literature, the role of government in dark tourism has not received sufficient attention. The chapter fills that gap by discussing the diversity of state interventions in dark tourism through a content analysis of pertinent literature. A conceptual framework is developed that indicates five key areas of intervention in dark tourism governance: cultural heritage policy, security and risk regulation, mobility control, heritage protection, and community engagement. These are connected to two clusters of intended governance outcomes: sociocultural goals such as peacebuilding and reconciliation, and experience-focused aims including ethical interpretation and visitor management. Instead of taking a normative stance on whether state involvement is inherently either excessive or insufficient, the chapter advocates for a more situated and reflexive approach. It emphasises the need to understand dark tourism governance as context-dependent, shaped by site-specific histories, political legitimacy, and the tension between memorialisation and commodification in practice. 2026 selection and editorial matter, Pawan Kumar, Gurmeet Singh, Vipin Nadda, Bindu Aggarwal and Ranjeet Verma. -
How Offensive is offensive? A Closer Look at Controversial Advertisements
We live in a world inundated with messages that seek to promote products varied and eclectic in their feel and purpose. Capitalism has rooted itself in many societies; corporate enterprises enthusiastically advertise their products around the world. Over the years we have had countless advertisements bombard us through our TV sets, newspapers, billboards and now through our smartphones. While attention-grabbing, these advertisements are unfortunately often considered questionable. Rising competition among advertisers for consumer attention has led to the production of advertisements that are increasingly risquand frequently downright offensive. There have been growing concerns about the increasingly low standards of advertisements. Be it excessive sexual content, discrimination on grounds of gender, or propagating regressive philosophies, advertisements seek attention for the wrong reasons. While some advertisements were once downright discriminative towards the female population, things seem to have gradually gotten better over the past few years. However, that is not to say that stereotyping and sexism have been wholly eradicated from advertising; these issues are still prevalent today. Though some consumers watch advertisements through a critical lense and critique unethical advertisements, many offensive and discriminative advertisements have still become widely known and popular among viewers. The present paper seeks to explore the idea of offensiveness in advertisements through an analysis of advertising content on the basis of gender discrimination and stereotypical portrayals of gender. Further, a focused group discussion adds audience perspective to the issue as well. Straddled by Uses and Gratification Theory, Social Responsibility Theory, and Self-Construal Theory, this study attempts to explore the concept of the offensiveness of controversial advertisements and to determine the reasons why an advertisement is deemed offensive. It is never too late to question How Offensive is offensive? 2021 Journal of International Womens Studies. -
How safe is the information in this digital era? –A critical review of the status quo /
Journal of Management Research And Analysis, Vol.5, Issue 1, pp.5-9, ISSN No: 2394-2770. -
How Social Media Marketing Impacts Relationship Quality for Masstige Brands
The Indian fashion industry is witnessing a significant transformation with the prominence of masstige brands. These brands cater to aspirational consumers who seek symbolic value and esthetic appeal without the financial burden of traditional luxury. Upper-middle-class working women in urban India form an influential demographic for such brands. They have a strong presence on digital platforms, are brand-conscious, and are eager to engage with fashion brands that reflect their aspirations, values, and lifestyle preferences. Despite the surge in masstige branding in India, limited studies focus on the influence of digital marketing efforts, particularly social media marketing activities, on the perception of masstige brand value and consumer-brand relationship quality and their impact on electronic word-of-mouth behavior in developing economies like India. The present study tries to fill this gap by proposing a conceptual model grounded in the established relationship marketing theory. A quantitative survey was conducted using a structured questionnaire distributed among upper-middle-class working women in India who actively follow and engage with masstige fashion brands on social media to test the model. Responses were collected and analyzed using SPSS version 22.0 and AMOS version 20.0. The analysis followed a two-step approach: first, a Confirmatory Factor Analysis was conducted to assess the reliability and validity of the constructs, and second, a Structural Equation Modeling technique was used to test the hypothesized relationships. The studys results yield several significant insights on the firm and positive influence of social media marketing activities on perceived masstige brand value, significantly influencing relationship quality dimensions. 2025 Taylor & Francis Group, LLC. -
How to create peaceable classrooms
Peace education doesnt merely involve learning about conflicts and resolving them peacefully; it entails active individual and collective participation in eliminating violence and seeking long-term solutions. -
How to win back the disgruntled consumer? The omni-channel way
In a conventional wisdom, it was believed that in traditional consumer journey, consumer will engage in an extended consideration and evaluation before entering into the loyalty loop. But with the emergence of online and offline advocacy the modern consumers may skip various traditional phases and may directly enter into loyalty loop. Being well informed and empowered modern-day consumer would wait hardly few seconds before he shifts loyalty to the rival brands. Hence, the retailers and marketers need to deal with well informed and empowered consumers who are disloyal to the core. Therefore, this paper proposes the adoption of Omni-channel marketing as a strategy to deal with disloyal customers. This study is both analytical and theoretical in nature and is based on the secondary data as well as extensive review of literature on the subject. The findings of the study recommend that the adoption of Omni-channel marketing will reduce the loyalty depressing factors and increases the loyalty supporting factors amongst the consumers by creating seamless experience throughout their consumer journey. Therefore, this paper proposes the adoption of Omni channel marketing to retailers, brands and marketers to deal with well informed, empowered and disloyal consumers and to convert them into loyal consumers. 2018, Academy of Business and Retail Management Research. -
How to win back the disgruntled consumer? The omni-channel way /
Journal of Business And Retail Management Research, Vol.12, Issue 4, pp.200-207, ISSN No. 2056-6271. -
How tourist motivations shape perceptions of service quality at pilgrimage sites
Previous research has not adequately examined how various tourist motivations affect perceived service quality at pilgrimage destinations. This study seeks to investigate the effect of various motives religious pilgrimage, votive offerings, leisure, and meditation on service quality perceptions at seven Jyotirlinga pilgrimage destinations in North India. A cross-sectional survey of 1047 visitors was carried out, and data were analysed through one-way ANOVA to determine significant differences between visitor groups. For multiple comparisons, Bonferroni and Games-Howell post hoc tests were used depending on the homogeneity of variances. The results show differences in service quality perceptions, specifically in desired facilities, safety and security, and transportation. Pilgrims interested in religious devotion emphasised safety, whereas leisure travellers gave more importance to the quality of facilities available and transportation. These findings have practical implications for pilgrimage site management, highlighting the importance of making targeted improvements in service delivery to meet the expectations of various visitor segments. Copyright 2025 Inderscience Enterprises Ltd. -
How well the log periodic power law works in an emerging stock market?
A growing body of research work on Log Periodic Power Law (LPPL) tries to predict market bubbles and crashes. Mostly, the fitment parameters remain con?ned within certain specific ranges. This paper examines these claims and the robustness of the reformulated LPPL model of Filimonov & Sornette (2013) for capturing large falls in the S&P BSE Sensex, an Indian heavyweight index over the period 20002019. Thirty-five mid to large-sized crashes are identified during this period, forming a clear LPPL signature. This confirms the possibility to predict the embedded risk of future uncertain events in the Indian stock market with the LPPL approach. 2020 Informa UK Limited, trading as Taylor & Francis Group. -
HQA Bot: Hybrid AI Recommender Based Question Answering Chatbot
The COVID pandemic has presented a number of challenges for education, particularly when it comes to reaching and engaging students. As a result, online education has become increasingly important, and artificial intelligence (AI) has played a crucial role in supporting this shift. The proposed tutor assistance question-answering system uses AI to automatically generate responses to student questions. This system includes a feedback mechanism, known as a satisfaction index that measures the efficiency of the generated responses and suggest relevant follow-up questions. The proposed Hybrid Recommender-based Dijkstras algorithm (HRD) improves the system's accuracy. This algorithm uses a combination of techniques to group relevant questions based on context, which improves the accuracy of identifying the next relevant question. In our customized dataset, this approach achieved an accuracy of 96% and an average accuracy of 82% across benchmarked datasets. With this system, we aim to bridge the gap between students and education by providing a more engaging and personalized learning experience. 2023, Ismail Saritas. All rights reserved. -
HR 4.0: Integrating AI and automation in human resource development
Artificial Intelligence (AI) and automation within Human resource development (HRD) under the concept of HR 4.0 are revolutionizing HR practices by enhancing efficiency, accuracy, and strategic decision-making. These technologies transform key HRD processes such as training, talent management, and employee engagement, driving organizational success. This study systematically reviews the integration of AI and automation practices within Human resource development under the concept of HR 4.0. It examines how these technologies are transforming HRD practices, including training, talent management, performance evaluation, and employee engagement. Through a comprehensive analysis of existing literature from library data from published electronic and printed databases, the study identifies key trends, benefits, and challenges associated with artificial intelligence and automation techniques in Human Resource Development practices. The narrative synthesis of findings reveals the profound impact of these technologies on improving efficiency, accuracy, and strategic decision-making in HRD processes. Furthermore, the review highlights ethical considerations, such as data privacy and algorithmic bias, and offers practical insights for HRD practitioners aiming to leverage AI and automation effectively. It also recognizes research gaps and suggests future research directions to further explore the potential of Artificial Intelligence and automation in enhancing human resource development. 2026 Pushan Kumar Dutta, Amarnath Padhi, Sulagna Das, Vinod Kr Sharma and Poshan Yu. All rights reserved. -
HR Analytics in an Era of Rapid Automation
Human Resources (HR) departments often have significant data sets related to employees and positions within their organizations, but optimizing use of this data can present challenges. As the business world rapidly transforms due to technological advancements, experts within the HR domain must learn to effectively use data to improve workforce performance and assist with strategic decisions. A comprehensive understanding of HR analytics and its multiple levels, ranging from descriptive to perspective, can emphasize how the data can support, track, and monitor employee performance, culture, turnover rate, and absenteeism. HR Analytics in an Era of Rapid Automation is a valuable guide for academics, researchers, and practitioners interested in the latest developments in HR analytics. It covers relevant theories and conceptual models based on quantitative and qualitative findings and emphasizes the importance of utilizing HR analytics for sustainable decision making. With a focus on recruitment analytics, talent acquisition, employee performance analytics, and more, this book provides practical solutions to the challenges facing HR professionals in the rapidly changing business world. By highlighting the value of people and HR analytics for business success, this book offers several solutions for the analysis of challenges facing HR professionals today. 2023 by IGI Global. All rights reserved. -
HR analytics in employee engagement and turnover
HR Analytics has expanded increasingly in the last two decades. Nowadays, several Companies use the supremacy of analytics, in gaining a competitive edge over others by recognizing all essentials of the employees. Organizations aim to optimize employee-performance, and hence are making use of HR analytics to drive strategic HR decisions. This study examines the advent of HR analytics by in measuring and improving employee engagement and turnover. Employee engagement analytics stands for exercising the use of data in decision-making process by integrating employee engagement with other HR and non-HR data. Employee engagement analytics is a subsection of workforce-analytics. It has become the standard contemporary system in advanced employee administration and retention. Employee engagement analytics benefits all stakeholders within the organization. 2023, IGI Global. All rights reserved. -
HR Analytics: An Indispensable Tool for Effective Talent Management
Business organizations have changed tremendously in the way they visualize the human capital of the organization and make all efforts to create a workforce that is productively engaged and is ready to embrace the challenges posed by uncertainty and turbulence in the business environment. This calls for a decision-making approach that is based on observed people behaviours rather than relying on intuition and gut feel. These observed behaviours are reactions or consequences to stimuli and therefore the science of Human Resource Management can be better understood as predicting these dependent variables based on a set of independent variables. This chapter attempts to present a complete framework of HR analytics in terms of concept, need and how it can add immense value to effective talent management in the organizations. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
HRL-ViT: Human-Robot Collaborative Vision Transformer for AIoT-Enabled Leaf Disease Detection in Precision Agriculture
The combination of artificial intelligence and Internet of Things (AIoT) technologies is changing precision agriculture by making it possible to automatically check the health of crops. Early detection of leaf diseases is still important for stopping yield losses, but regular convolutional neural networks (CNNs) often don't work as well when they have to deal with different textures, lighting changes, and noise on the field level. To address these constraints, this study presents HRL-ViT, a Human-Robot Collaborative Learning framework that utilizes Vision Transformers for leaf disease identification. The frame-work merges the global attention feature of Vision Transformers with a human-in-the-loop approach, wherein predictions with low confidence are validated by experts and used to improve the model over time. The system is also made for edge-based AIoT deployment, which lets you analyze data in real time in agricultural settings. Experimental research utilizing both benchmark datasets and field-acquired images demonstrates that HRL-ViT consistently surpasses baseline CNN and Transformer models, attaining superior accuracy, precision, and recall while minimizing false detections. Transformers' attention maps can be visualized to make them even easier to understand, which helps users trust them and make decisions. In general, HRL-ViT shows a lot of promise for use in autonomous robotic platforms. It offers an explainable and scalable way to find diseases in precision agriculture. 2025 IEEE. -
HRM challenges and employee wellbeing in the tourism industry: Moderating role of organizational culture
The current study aims to understand the Challenges faced by Tourism sector employees and its effect on employee well being. Also the moderating effect of Organizational culture is measured. Staff members of airlines, hotels, and travel agencies provided the main data used in this quantitative analysis. A total of 122 individuals were deemed suitable for the study according to the Kregcie-Morgan table. Using the HRM Challenges, Employee Wellbeing, and Organizational Culture measure as a starting point, a carefully crafted questionnaire was developed. Gaskins' master validity table was used to evaluate the reliability and validity of the questionnaire. Analysis of the data was done using SPSS for factor analysis and confirmatory factor analysis with. The findings show that there is a negative impact of HRM challenges on the employee wellbeing. But when organization culture is introduced as a moderator, it dampens the effect of challenges on employee wellbeing. Therefore, to reduce the impact of challenges on employee wellbeing, Organizational culture is the key. 2025, IGI Global Scientific Publishing. -
HTLML: Hybrid AI Based Model for Detection of Alzheimers Disease
Alzheimers disease (AD) is a degenerative condition of the brain that affects the memory and reasoning abilities of patients. Memory is steadily wiped out by this condition, which gradually affects the brains ability to think, recall, and form intentions. In order to properly identify this disease, a variety of manual imaging modalities including CT, MRI, PET, etc. are being used. These methods, however, are time-consuming and troublesome in the context of early diagnostics. This is why deep learning models have been devised that are less time-intensive, require less high-tech hardware or human interaction, continue to improve in performance, and are useful for the prediction of AD, which can also be verified by experimental results obtained by doctors in medical institutions or health care facilities. In this paper, we propose a hybrid-based AI-based model that includes the combination of both transfer learning (TL) and permutation-based machine learning (ML) voting classifier in terms of two basic phases. In the first phase of implementation, it comprises two TL-based models: namely, DenseNet-121 and Densenet-201 for features extraction, whereas in the second phase of implementation, it carries out three different ML classifiers like SVM, Nae base and XGBoost for classification purposes. The final classifier outcomes are evaluated by means of permutations of the voting mechanism. The proposed model achieved accuracy of 91.75%, specificity of 96.5%, and an F1-score of 90.25. The dataset used for training was obtained from Kaggle and contains 6200 photos, including 896 images classified as mildly demented, 64 images classified as moderately demented, 3200 images classified as non-demented, and 1966 images classified as extremely mildly demented. The results show that the suggested model outperforms current state-of-the-art models. These models could be used to generate therapeutically viable methods for detecting AD in MRI images based on these results for clinical prospective. 2022 by the authors. -
Hubble Space Telescope Captures UGC 12591: Bulge/disc properties, star formation and 'missing baryons' census in a very massive and fast-spinning hybrid galaxy
We present Hubble Space Telescope ( HST ) observations of the nearby, massive, highly rotating hybrid galaxy UGC 12591, along with observations in the UV to FIR bands. HST data in V , I , and H bands is used to disentangle the structural components. Surface photometry shows a dominance of the bulge o v er the disc with an H-band B / D ratio of 69 per cent . The spectral energy distribution (SED) fitting reveals an extremely low global star formation rate (SFR) of 0 . 1-0 . 2 M yr-1 , exceptionally low for the galaxy's huge stellar mass of 1 . 6 0 11 M, implying a strong quenching of its SFR with a star formation efficiency of 3-5 per cent. For at least the past 10 8 yr, the galaxy has remained in a quiescent state as a sterile, 'red and dead' galaxy. UGC 12591 hosts a supermassive black hole (SMBH) of 6 . 18 0 8 M, which is possibly quiescent at present, i.e. we neither see large (1kpc) radio jets nor the SMBH contributing significantly to the mid-IR SED, ruling out strong radiative feedback of AGN. We obtained a detailed census of all observable baryons with a total mass of 6 . 46 0 11 M within the virial radius, amounting to a baryonic deficiency of 85 per cent relative to the cosmological mean. Only a small fraction of these baryons reside in a warm/hot circumgalactic X-ray halo, while the majority are still unobservable. We discussed various astrophysical scenarios to explain its unusual properties. Our work is a major step forward in understanding the assembly history of such e xtremely massiv e, isolated galaxies. 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.