Is corporate reputation associated with voluntary cybersecurity risk reporting?
subject: Cybersecurity; Cybersecurity risk disclosure; Risk disclosure; Voluntary disclosure
description: Purpose: This study investigated the effect of voluntary cybersecurity risk reporting (VCRR) on corporate reputation. By examining the association between VCRR and corporate reputation, this study aims to provide exploratory evidence of how cybersecurity risk is sensitive to a companys image and reputation. Design/methodology/approach: An automated content analysis of VCRR by 95 Bombay Stock Exchange-listed companies was undertaken using Python code. Signaling and legitimacy theories were adopted to interpret the findings, establishing whether VCRR was related to corporate reputation. Findings: The results confirm that VCRR improves the corporate reputation in the financial market. The results also confirm the signalling and legitimacy theory that a company can manage reputational risks through higher voluntary risk disclosure. Practical implications: The corporations managers can gain insights from the studys findings and proactively address cybersecurity risks through strategic disclosure and management practices. In addition, organizations can recognize that investors value transparency and establish a positive reputation for those who communicate openly. Social implications: A significant association between VCRR and corporate reputation implies that such disclosures enhance trust and transparency in the business sector and induce security and accountability among investors engaging with the company. Originality/value: To the best of the authors knowledge, this study is the first that empirically investigates this issue and adds to the international literature a new explanatory variable, corporate reputation, to explain VCRR practices. 2024, Emerald Publishing Limited.
creator: Singh H.
source: Meditari Accountancy Research
publisher: Emerald Publishing
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 2049372X
format: Online
language: English
type: Article
coverage: Singh H., Department of Commerce, Christ University, Bangalore, India

Navigating the need for accessible labelling through the narratives of consumers with visual impairment in India
subject: Accessibility; accessible labelling; consumers with visual impairment; marketplace inclusion; product labelling
description: This study aims to understand the strategies consumers with visual impairment (CWV) use in acquiring product information and explores preferences for accessible labelling and its benefits. This study employed the qualitative approach of thematic analysis. A snowball sampling technique was used to recruit participants. Data were collected from CWV through semi-structured interviews. The sample size of this study was 12. The data were analysed using NVivo software. The study revealed three strategies used by CWV to obtain product information, namely reliance on caregivers, staff, and technology. However, all the strategies employed have multiple drawbacks. The study reported a high preference for accessible labelling in braille and quick response (QR) codes. Implementing a combination of braille labels and QR codes on product packages was the most beneficial strategy for CWV. The Implementation of accessible labels ensures inclusion in the marketplace. The Author(s) 2024.
creator: Thadikaran G.B.; Singh S.K.
source: British Journal of Visual Impairment
publisher: SAGE Publications Ltd
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 2646196
format: Online
language: English
type: Article
coverage: Thadikaran G.B.; Singh S.K., CHRIST (Deemed to be University), India

The Problem of Perception in Sandor Mais Embers: An Advaitic Study
subject: Advaita Vedanta (non-duality); dilemma; paradox; Perception; pramana
description: This article attempts to study the problem of perception in Sandor Mais celebrated novel Embers from the standpoint of the pramana (a method of knowledge) of Advaita Vedanta. An epistemic problem, the problem of perception, concerns the overwhelming questions of life, culminating in an enigmatic amalgamation of dilemmas and paradoxes. Genuine dilemmas and paradoxes problematize human relationships, which is evident in the complex narrative of Embers. Our contention in this article is to show how, even though enacted within the periphery of the purely fictional, Embers bears testimony to the complexities of life that are quickened by the limits of human perception, which keeps one from seeing how things really are by creating a shadow or reflected consciousness. Set against the backdrop of the Austro-Hungarian Empire, the novel opens up a dialogic space at the intersection of a triangular relationship enacted on the threshold of perception and its multidimensional problems. 2024 Management Centre for Human Values.
creator: James S.; Jena B.B.
source: Journal of Human Values
publisher: Sage Publications India Pvt. Ltd
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 9716858
format: Online
language: English
type: Article
coverage: James S., Department of English and Cultural Studies, Christ (Deemed to be) University, Karnataka, Bangalore, India; Jena B.B., Department of English and Cultural Studies, Christ (Deemed to be) University, Karnataka, Bangalore, India

Brain Tumor Classification Using an Ensemble of Deep Learning Techniques
subject: Brain tumor; deep learning; ensemble; glioma; meningioma; MRI; pituitary
description: The article reflects on the classification of brain tumors where several deep learning (DL) approaches are used. Both primary and secondary brain tumors reduce the patient's quality of life, and therefore, any sign of the tumor should be treated immediately for adequate response and survival rates. DL, especially in the diagnosis of brain tumors using MRI and CT scans, has applied its abilities to identify excellent patterns. The proposed ensemble framework begins with the image preprocessing of the brain MRI to enhance the quality of images. These images are then utilized to train seven DL models and all of these models recognize the features related to the tumor. There are four models which are General, Glioma, Meningioma, and Pituitary tumors or No Tumor model, which helps in reaching a joint profitable prediction and concentrating solely on the strength of the estimation and outcome. This is a significant improvement over all the individual models, attaining a 99. 43% accuracy. The data used in this research was gotten from Kaggle website and comprised of 7023 images belonging to four classes. Future work will focus on increasing the dataset size, investigating additional DL architectures, and enhancing real-Time detection to improve the accuracy of diagnostic scans and their overall relevance to clinical practice. 2013 IEEE.
creator: Patro S.G.K.; Govil N.; Saxena S.; Kishore Mishra B.; Taha Zamani A.; Ben Miled A.; Parveen N.; Elshafie H.; Hamdan M.
source: IEEE Access, Vol-12, pp. 162094-162106.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 21693536
format: Online
language: English
type: Article
coverage: Patro S.G.K., Woxsen University, School of Technology, Hyderabad, 502345, India; Govil N., GLA University, Department of Computer Engineering and Applications (CEA), Mathura, 281406, India; Saxena S., CHRIST University, Department of Computer Science, Bengaluru, 560074, India; Kishore Mishra B., NIST University, Department of Computer Science and Engineering, Berhampur, 761008, India; Taha Zamani A., Northern Border University, Department of Computer Science, Arar, 91431, Saudi Arabia; Ben Miled A., Northern Border University, Department of Computer Science, Arar, 91431, Saudi Arabia; Parveen N., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Guntur, 522302, India; Elshafie H., King Khalid University, College of Computer Science, Department of Computer Engineering, Abha, 61421, Saudi Arabia; Hamdan M., South East Technological University, Walton Institute for Information and Communication Systems Science, Waterford, X91 HE36, Ireland

MADeGen: Multi-Agent based Deep Reinforcement Learning for Sequential Keyphrase Generation
subject: Actor-critic; Adaptive reward; Extraction agent; Generation agent; Keyphrase generation; Multi-agent; Reinforcement learning
description: Keyphrase generation is an essential tool in the field of natural language processing for information retrieval, document summarization, and text recommendation applications, extracting succinct and representative phrases from the text document. Traditional keyphrase extraction methods applied the supervised or unsupervised learning fail to capture the sequential keyphrase generation in a dynamic environment. The keyphrase generation approaches lack focus on explicitly discriminating the present and absent keyphrases, leading to the inadequate generation of semantically rich absent keyphrases. Hence, this work utilizes the potential benefits of reinforcement learning with the design of a distinguished reward function for present and absent keyphrases for sequential decision-making in the keyphrase generation. Thus, this work presents a novel keyphrase generation system, MADeGen, utilizing Multi- Agent Deep Reinforcement Learning (MADRL). In particular, a multi-agent reinforcement system collaboratively enables the generation of representative and coherent keyphrases by the evaluation metric-aware cooperative reward function analysis and adaptively training the agents. The proposed MADeGen incorporates two major phases, such as multi-agent modelling and actor critic-based policy optimization towards accurate keyphrase generation. In the first phase, the proposed approach designs two learning agents, including the extraction agent and generation agent, with the incorporation of a pre-trained language model. In the multi-agent system, the generation agent is the finetuned version of the extraction agent with the integration of the Wikipedia source. Secondly, the evaluation-aware adaptive reward function is designed to evaluate each agent's generated keyphrases with reference to ground-truth keyphrases. In subsequence, the cooperative reward analysis triggers the actor critic-based policy optimization for the generation agent in the multi-agent system to precisely gener…
creator: Jose J.; Soundarabai P.B.
source: International Journal of Intelligent Engineering and Systems, Vol-17, No. 6, pp. 69-85.
publisher: Intelligent Network and Systems Society
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 2185310X
format: Online
language: English
type: Article
coverage: Jose J., Christ Deemed to be University, Bangalore, India; Soundarabai P.B., Christ Deemed to be University, Bangalore, India

The impact of the COVID-19 pandemic on e-learning adoption in an emerging market: a longitudinal study using the UTAUT model
subject: Behavioral intention; Covid-19; E-learning; Longitudinal study; PLS-SEM; UTAUT
description: Purpose: The COVID-19 pandemic provided unprecedented impetus to the evolution of the e-learning learning ecosystem by compelling students to adopt e-learning systems. This paper aims to use the UTAUT model to provide insight into the differences in factors influencing the adoption of e-learning systems before and after the pandemic. Design/methodology/approach: This longitudinal study uses two surveys conducted among graduate students in the city of Bengaluru in India. One prior to the start of the COVID-19 pandemic and a second in its aftermath. PLS-SEM is used to analyze both data sets to draw insights into the constructs that influence Behavioral intention to adopt e-learning systems. The moderating effect of gender is also analyzed. Findings: Pre COVID-19, Facilitating Conditions, Performance Expectancy and Effort Expectancy (quadratic behavior) were dominant factors influencing the adoption of e-learning technologies. Post pandemic, Performance Expectancy and Social Influence are drivers of e-learning adoption. Effort Expectancy and Facilitating Conditions grouped as Ease of Use is a significant driver of e-learning adoption post pandemic. Gender is found to not have a moderating influence. Originality/value: The unique longitudinal study of the differences in factors influencing students intention to adopt e-learning pre- and post-COVID-19 can prove useful to policy makers in the higher education sector. Academics can use the post-pandemic e-learning models findings in multiple contexts such as generational cohorts, educational contexts and social contexts. 2024, Emerald Publishing Limited.
creator: Nair M.S.; Nair J.; Chellasamy A.
source: Journal of Asia Business Studies
publisher: Emerald Publishing
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 15587894
format: Online
language: English
type: Article
coverage: Nair M.S., Congruence Systems, Bangalore, India; Nair J., St. Josephs Institute of Management, Bangalore, India; Chellasamy A., School of Business and Management, Christ University, Bangalore, India

Esther reimagined: feminist essence in Sara Josephs narrative
subject: biblical women; feminism; liberation; voice and agency of women
description: Gynocentric approaches to biblical women uncover narratives of liberation and empowerment. These perspectives highlight the gaps and omissions in the representation of women within the overarching metanarrative of the Bible. Sara Josephs novel, Esther, serves as a feminist reimagining of the biblical story of Esther, offering a pluralistic lens through which to examine the experiences and lives of women against the backdrop of patriarchy. This paper utilises the feminist hermeneutic method to critically engage with the narrative, drawing on the feminist frameworks established by scholars such as Elizabeth Fiorenza and Esther Fuchs. It argues that biblical women can be reinterpreted as positive role models, saviours, heroines, and vital contributors to an extraordinary narrative of survival and redemption. 2024 Informa UK Limited, trading as Taylor & Francis Group.
creator: Davis A.M.; Abhaya N.B.
source: International Studies in Catholic Education
publisher: Routledge
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 19422539
format: Online
language: English
type: Article
coverage: Davis A.M., Department of English and Cultural Studies, Christ Deemed University, Bangalore, India; Abhaya N.B., Department of English and Cultural Studies, Christ Deemed University, Bangalore, India

Exploring the factors of learning organization in school education: therole of leadership styles, personalcommitment, andorganizational culture
subject: Leadership styles; Learning organization; Organizational culture; Personal commitment; School education
description: Purpose: This study aims to test the conceptual model of the factors of learning organization and explore the degree of mediation of organizational culture in the relationship between leadership styles, personal commitment, and learning organization in school education. Design/methodology/approach: The learning organization profile (LOP) and OCTAPACE profile served to measure learning organization and organizational culture, respectively. The researchers developed scales to measure principals leadership styles and teachers personal commitment. Data included 750 school teachers. Findings: This study found a good fit in the proposed conceptual model. The organizational culture had a significant mediating effect on the path of leadership styles and learning organization and a significant mediating effect on the path of personal commitment and learning organization. Originality/value: To promote a more comprehensive learning culture, school principals should consider two specific organizational mechanisms: the intangible cultural components (such as corporate values, beliefs, and norms) and the tangible structural components (such as organizational structure and workflow systems). These two domains play a crucial role in creating a conducive learning environment. 2024, Jacqueline Kareem, Harold Andrew Patrick and Nepoleon Prabakaran.
creator: Kareem J.; Patrick H.A.; Prabakaran N.
source: Central European Management Journal
publisher: Emerald Publishing
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26580845
format: Online
language: English
type: Article
coverage: Kareem J., School of Education, CHRIST (Deemed to be University), Bangalore, India; Patrick H.A., CMS Business School, Jain University, Bangalore, India; Prabakaran N., CMS Business School, Jain University, Bangalore, India

Accumulation of heavy metals (Cr, Cu, As, Cd, Pb, Zn, Fe, Ni, Co) in the water, soil and plants collected from Edayar Region, Ernakulam, Kerala, India
subject: ICP-MS; industrialisation; toxicity; urbanization
description: The accumulation of heavy metals in the environment is a significant concern due to their potential toxicity and persistence. This study investigates the levels of heavy metal contamination in the water, soil and plants of the Edayar region in Ernakulam, Kerala, India. The region has experienced industrialization and urbanization, leading to concerns about heavy metal pollution. The study aims to assess the concentrations of chromium (Cr), copper (Cu), arsenic (As), cadmium (Cd), lead (Pb), zinc (Zn), iron (Fe), nickel (Ni) and cobalt (Co) in water, soil, aquatic and terrestrial plants. Samples were collected from various locations within the Edayar region, and Inductively Coupled Plasma Mass Spectrometry (ICP-MS) was conducted to quantify heavy metal concentrations. The findings of this study will contribute to the assessment of heavy metal pollution in the Edayar region. Plants with a high diversity index were taken for analysis from both aquatic and terrestrial habitats. Scoparia dulcis L. seems to specialize in metal accumulation, possibly for protective purposes. Synedrella nodiflora Gaertn demonstrates adaptability to metal-rich environments through robust metal uptake and tolerance mechanisms. Alternanthera philoxeroides (Mart.) Griseb, on the other hand, appears to have developed mechanisms to manage heavy metal exposure. The results indicate significant levels of heavy metal contamination across all samples, with the highest concentrations detected in soil, followed by water and plants. Chromium and lead levels in soil exceeded the permissible limits set by international standards, posing potential risks to human health and the ecosystem. The accumulation patterns in plants varied, with higher bioaccumulation factors observed for zinc and copper, suggesting their preferential uptake. This study highlights the urgent need for remediation strategies and continuous monitoring to mitigate the impact of heavy metal pollution in the Edayar region. The results wil…
creator: Syamlal C.A.; Sayantan D.
source: Plant Science Today, Vol-11, No. 4, pp. 907-923.
publisher: Horizon e-Publishing Group
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 23481900
format: Online
language: English
type: Article
coverage: Syamlal C.A., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India; Sayantan D., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India

Efficient one-pot green synthesis of carboxymethyl cellulose/folic acid embedded ultrafine CeO2 nanocomposite and its superior multi-drug resistant antibacterial activity and anticancer activity
subject: Antibacterial activity; Biocompatibility; Carboxymethyl cellulose; CeO2; Folic acid
description: Due to the prevalence of drug-resistant bacteria and the ongoing shortage of novel antibiotics as well as the challenge of treating breast cancer, the therapeutic and clinical sectors are consistently seeking effective nanomedicines. The incorporation of metal oxide nanoparticles with biological macromolecules and an organic compound emerges as a promising strategy to enhance breast cancer treatment and antibacterial activity against drug-resistant bacteria in various biomedical applications. This study aims to synthesize a unique nanocomposite consisting of CeO2 embedded with folic acid and carboxymethyl cellulose (CFC NC) via a green precipitation method using Moringa oleifera. Various spectroscopic and microscopic analyses are utilized to decipher the physicochemical characteristics of CFC NC and active phytocompounds of Moringa oleifera. Antibacterial study against MRSA (Methicillin-resistant Staphylococcus aureus) demonstrated a higher activity (95.6%) for CFC NC compared to its counterparts. The impact is attributed to reactive oxygen species (ROS), which induces a strong photo-oxidative stress, leading to the destruction of bacteria. The minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of CFC NC are determined as 600g/mL and 1000g/mL, respectively. The anticancer activity against breast cancer cell resulted in the IC50 concentration of 10.8?g/mL and 8.2?g/mL for CeO2 and CFC NC respectively.The biocompatibility test was conducted against fibroblast cells and found 85% of the cells viable, with less toxicity. Therefore, the newly synthesized CFC NC has potential applications in healthcare and industry, enhancing human health conditions. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
creator: Boopathi T.S.; Rajiv A.; Patel T.S.G.M.; Bareja L.; Salmen S.H.; Aljawdah H.M.; Arulselvan P.; Suriyaprakash J.; Thangavelu I.
source: Bioprocess and Biosystems Engineering
publisher: Springer Science and Business Media Deutschland GmbH
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 16157591; PubMed ID: 39503917; CODEN: BBEIB
format: Online
language: English
type: Article
coverage: Boopathi T.S., Department of Chemistry, Amrita School of Physical Sciences, Amrita Vishwa Vidyapeetham, Coimbatore, 641112, India, Functional Materials Laboratory, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, 641112, India; Rajiv A., Department of Physics, Faculty of Sciences, JAIN (Deemed-to-Be University), Karnataka, Bangalore, 562112, India; Patel T.S.G.M., Department of Community Medicine, Parul University, Gujarat, PO Limda, Tal. Waghodia, Vadodara, 391760, India; Bareja L., Centre of Research Impact and Outcome, Chitkara University, Punjab, Rajpura, 140417, India; Salmen S.H., Department of Botany and Microbiology, College of Science, King Saud University, PO Box-2455, Riyadh, 11451, Saudi Arabia; Aljawdah H.M., Department of Zoology, College of Science, King Saud University, PO Box-2455, Riyadh, 11451, Saudi Arabia; Arulselvan P., Department of Chemistry, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Tamil Nadu, Chennai, 602 105, India; Suriyaprakash J., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Thangavelu I., Department of Chemistry, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India

Purification and Biochemical Characterization of Beta-Hexosaminidase B from Freshwater CnidarianHydra vulgaris Ind-Pune
subject: Cnidarian; Hydra vulgaris; Lysosomal hydrolases; ?-N-Acetylhexosaminidase
description: Beta-N-acetylhexosaminidase (Hex) is a vital lysosomal hydrolase found in all living organisms, playing a crucial role in cellular homeostasis. Dysfunctions in this enzyme are implicated in severe pathological conditions such as Tay-Sachs and Sandhoff diseases in humans. In this paper, we report the purification and biochemical characterization of hexosaminidase from the soluble extracts obtained from the polyps of Hydra vulgaris Ind Pune. The Hydra Hex was purified by two-step sequential chromatography (hydrophobic interaction and gel filtration). Our results suggested that the enzyme isoform purified from Hydra is HexB, most likely to be a homodimer with a subunit mass of 65 kD. The pH optimum was in the range of 5.0 to 6.0 and the temperature optimum in the range of 50 C to 60 C. pH stability and temperature stability were found to be 5.0 and 40C respectively. The homology modelling studies corroborated the homodimeric nature of Hydra HexB, and indicated its structural resemblance to human HexB. This study offers new insights into the biochemical characteristics of Hydra HexB, providing a foundational framework for extensive investigations on this and other lysosomal hydrolases in Hydra. In a broader context, our results significantly contribute to establishing Hydra as a potential model organism to study the lysosomal biogenesis pathway. (2024), (Association of Carbohydrate Chemists and Technologists). All Rights Reserved.
creator: Kukkemane K.; Krishnapati L.S.; Vuruputuri R.M.; Ranganatha K.S.; Kumar N.S.
source: Trends in Carbohydrate Research, Vol-16, No. 3, pp. 60-75.
publisher: Association of Carbohydrate Chemists and Technologists
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 9750304
format: Online
language: English
type: Article
coverage: Kukkemane K., Protein Biochemistry and Glycobiology Laboratory, Department of Biochemistry, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, 500046, India, Department of Life Sciences, School of Sciences, CHRIST University, Karnataka, Bengaluru, 560029, India; Krishnapati L.S., Protein Biochemistry and Glycobiology Laboratory, Department of Biochemistry, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, 500046, India; Vuruputuri R.M., Protein Biochemistry and Glycobiology Laboratory, Department of Biochemistry, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, 500046, India; Ranganatha K.S., Protein Biochemistry and Glycobiology Laboratory, Department of Biochemistry, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, 500046, India; Kumar N.S., Protein Biochemistry and Glycobiology Laboratory, Department of Biochemistry, School of Life Sciences, University of Hyderabad, Telangana, Hyderabad, 500046, India, University of Bremen, Bremen, Germany

Women entrepreneurs vs. women employees: a comparative study of personality traits and success factors of women in India
subject: employees; entrepreneurs; India; personality traits; success; women
description: In the current study, the researchers evaluate the relationship between personality traits, as defined by the Big Five personality traits, and success factors of women: as entrepreneurs and employees. The findings are based on data collected from 100 women employees and 100 women entrepreneurs. Data was collected using structured questionnaires and analysed using IBM SPSS. The findings suggest that there are statistically significant differences between women entrepreneurs and women employees on certain dimensions of personality. The evaluation of the relationship between the personality traits and success factors revealed that in the case of entrepreneurs, personality traits were significant in predicting success. As nations work to improve gender ratios in the labour force and as the number of women entrepreneurs grows, a better understanding of what constitutes success and the factors that could influence success are critical in supporting female participation in the economy, as entrepreneurs and employees. Copyright 2024 Inderscience Enterprises Ltd.
creator: Mathew J.; Arvind T.; Nair S.
source: International Journal of Entrepreneurship and Small Business, Vol-53, No. 4, pp. 544-556.
publisher: Inderscience Publishers
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 14761297
format: Online
language: English
type: Article
coverage: Mathew J., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Arvind T., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Nair S., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India

Mass layoffs at BYJUS founders dilemma
subject: BYJUS; EdTech; Layoffs; Toxic work culture
description: Learning outcomes: This case study provides students/managers an opportunity to learn about the following: to infer the challenges involved in the downsizing of employees; to asses and evaluate BYJUS organizational culture; and to determine the impact of workplace toxicity. Case overview/synopsis: The focus of this case is the controversy faced by BYJUS due to its mass layoffs and toxic work culture. This case discusses the CEOs dilemma in resolving the controversy. Two rounds of mass layoffs at BYJUS are discussed in detail. The industrial dispute filed by Employees Union against BYJUS accusing it of denying due compensation to laid-off employees is also discussed. This case consists of a section explaining the toxic work culture at BYJUS, which is supported by employee complaints. The CEOs justification and apology have been illustrated in this case. The case ends with a closing dilemma and challenges faced by the CEO. Complexity academic level: The case is best suited for undergraduate students studying Human Resources Management subjects in Commerce and Business Management streams. The authors suggest that the instructor inform students to read the case before attending the 90-min session. It can be executed in the classroom after discussing the theoretical concepts. Supplementary material: Teaching notes are available for educators only. Subject code: CSS 6: Human Resource Management. 2024, Emerald Publishing Limited.
creator: Saldanha A.; Aranha R.
source: Emerald Emerging Markets Case Studies, Vol-14, No. 4, pp. 1-12.
publisher: Emerald Publishing
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 20450621
format: Online
language: English
type: Article
coverage: Saldanha A., Department of Marketing, St Josephs Institute of Management, Bangalore, India; Aranha R., School of Business and Management, Christ University, Bangalore, India

Cyber-Threat Landscape in Healthcare Industry and Legal Framework Governing Personal Health Information in India
subject: cyber-threats; cybersecurity; electronic health records (EHR); healthcare; personal health information
description: 2021 and 2022 have been the years of frequent cyberattacks. India remains in the top 25 countries severely affected by the continuous cyber-attacks and tops the list. The healthcare department is amongst the most affected area. In 2020, the healthcare department suffered a severe impact with around 348K cyber-attacks alone on Indian healthcare infrastructure. The recent occurrence of cyber-attack on AIIMS hospital in December 2022 followed by several other incidences of data breaches have made the concerned authorities pro-active on exercising vigilance and reforming the legal and technical system to protect the health infrastructure. This paper has been developed on extensive literature and focuses on describing the nature of electronic health records, the risks they are exposed to along with as to why they are so susceptible to these cyber-risks. Furthermore, the paper also deals with different kinds of threats affecting the privacy and security of electronic health records specifically. The paper analyzes Indian legal framework, briefly compares it with international legal framework (specifically US & EU) and highlights the shortcomings in Indian legislative framework followed by laying down certain recommendations primarily highlighting the possible changes required in Indian legal framework and practices that can be adopted at organizational level to overcome and mitigate such risks. N. Raizada, P. Srivastava, 2024.
creator: Raizada N.; Srivastava P.
source: Kutafin Law Review, Vol-11, No. 3, pp. 452-490.
publisher: Kutafin Moscow State Law University (MSAL)
date: 2024-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 27130525
format: Online
language: English
type: Article
coverage: Raizada N., CHRIST University, Bengaluru, India; Srivastava P., Rashtriya Raksha University, Gandhinagar, India

Managing coworker conflict: investigating the effect of workplace phubbing and mindfulness on employee deviant and negligent behavior
subject: Coworker conflict; Employee deviant behavior; Employee negligence; Mindfulness; Phubbing
description: Purpose: This study aims to examine the influence of workplace phubbing on employee deviant behavior and negligence, while also investigating the mediating role of coworker conflict. Additionally, the study explores the moderating effect of workplace mindfulness on the relationship between workplace phubbing, the mediators and employee deviant behavior and negligence. Design/methodology/approach: Data were gathered from employees in the service sector in the UAE using an online survey questionnaire. A total of 374 participants submitted complete responses. The studys hypotheses were tested through regression-based moderated path analysis, incorporating conditional process modeling and nonlinear bootstrapping. Findings: The study indicates that experiencing phubbing at work contributes to feelings of coworker conflict, which subsequently leads to increased interpersonal deviance and employee negligence. Moreover, workplace mindfulness weakens the positive influence of being phubbed on coworker conflict, interpersonal deviance and employee negligence. Originality/value: To the best of the authors knowledge, no previous studies have examined the negative impact of being phubbed at the individual employee level within the service industry. This study aims to contribute to both theory and practice by elucidating the mediating mechanism of coworker conflict and exploring the moderating effects of workplace mindfulness. 2024, Emerald Publishing Limited.
creator: Alagarsamy S.; Mehrolia S.; Vinod S.
source: Evidence-based HRM
publisher: Emerald Publishing
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 20493983
format: Online
language: English
type: Article
coverage: Alagarsamy S., Manipal Academy of Higher Education Dubai Campus, School of Business, Academic City, Dubai, United Arab Emirates; Mehrolia S., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Vinod S., Manipal Academy of Higher Education Dubai Campus, School of Business, Academic City, Dubai, United Arab Emirates

REMEMBERING PLACE: The Temporality of Trauma in Rudraprayag after the 2013 Flash Floods
subject: afterwardsness; compensation; disaster; temporality; trauma
description: The 2013 flash floods reproduced an everyday that was textural, the returning past of the event combined with gestures from within the everyday, to disorient survivors of the event. I attempt in this essay to analyze the return of the event as producing psycho-spatial affects, drawn from the psyches own propensity to return while repressing the event that causes the return, described within psycho-analytic literature as afterwardsness. Such afterwardsness is conditioned by the sheer incomprehensibility of environmental change that took place in just three days in the Mandakini Valley between June 15 and June 17, 2013. Following the flood, delays with the recovery process, and particularly with the process of compensation, exacerbate this trauma, leading to an extension of the temporality of trauma infinitely forward. (2024), (American Anthropological Association). All rights reserved.
creator: Mathson G.T.
source: Cultural Anthropology, Vol-39, No. 4, pp. 592-615.
publisher: American Anthropological Association
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 8867356
format: Online
language: English
type: Article
coverage: Mathson G.T., Christ University, India

Efficient Mitosis Segmentation and Detection in Breast Cancer Histopathological Images Using YOLOv5 Model
subject: breast cancer; deep learning; histopathological images; mitosis cells; segmentation; YOLO-v5
description: Mitosis count serves as a critical biomarker in breast cancer research, aiding in the prediction of aggressiveness, prognosis, and grade of the disease. However, accurately identifying mitotic cells amidst shape and stain variations, while distinguishing them from similar objects like lymphocytes and cells with dense nuclei, presents a significant challenge. Traditional machine learning methods have struggled with this task, particularly in detecting small mitotic cells, leading to high inter-rater variability among pathologists. In recent years, the rise in deep learning has reduced the subjectivity of mitosis detection. However, Deep Learning models face challenges with segmenting and classifying mitosis due to its intricate morphological variations, cellular heterogeneity, and overlapping structures. In response to these challenges, this study presents an Intelligent Mitosis Segmentation and Detection in Breast Cancer Histopathological Images Using Deep Learning (IMSD-BCHIDL) Model. The purpose of the IMSD-BCHIDL technique is to segment and classify mitosis in the histopathological images. To accomplish this, the IMSD-BCHIDL technique mainly employs YOLO-v5 model, which proficiently segments and classifies the mitosis cells. In addition, InceptionV3 is applied as a backbone network for the YOLO-v5 model, which helps in capturing extensive contextual details from the input image and results in improved detection tasks. For demonstrating the greater solution of the IMSD-BCHIDL method of the IMSD-BCHIDL technique, a wide range of experimental analyses is made. The simulation values portrayed the improved solution of the IMSD-BCHIDL system with other recent DL models. 2024 by the authors.
creator: Lijo J.; Saleema J.S.
source: Journal of Advances in Information Technology, Vol-15, No. 10, pp. 1184-1192.
publisher: Engineering and Technology Publishing
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 17982340
format: Online
language: English
type: Article
coverage: Lijo J., Department of Computer Science, Christ University, Karnataka, Bengaluru, India, School of Computer Applications, Dayananda Sagar University, Karnataka, Bengaluru, India; Saleema J.S., Department of Statistics and Data Science, Christ University, Karnataka, Bengaluru, India

Breeding distrust during artificial intelligence (AI) era: howtechnological advancements, jobinsecurity and job stress fuel organizational cynicism?
subject: Job insecurity; Job involvement; Job stress; Layoff; Organizational cynicism; Psychological capital; Technological advancements
description: Purpose: This study examines how technological advancements and psychological capital contribute to job stress. Furthermore, the paper examines how job insecurity, job stress and job involvement influence the cynicism of recently laid-off employees. Despite various research studies, there is a lack of understanding of employees views on their work future and its probable influence on their job behaviors in this era of technology. Design/methodology/approach: A quantitative method was used to collect a sample of 403 recently laid-off employees. The research tool of this study was a questionnaire, and the sampling technique was stratified random sampling. IBM SPSS and AMOS software were utilized to ensure the trustworthiness and accuracy of constructs via factor analysis. The proposed hypotheses were tested using structural equation modeling. Findings: The analysis showed that technological advancements, specifically in job-related stress, job involvement and job insecurity, significantly affect organizational cynicism. Job involvement is negatively associated with employees cynicism. Practical implications: The current study adds to the comprehension of shifts in the perceived behavior of employees toward their organizations due to factors like the adoption of new technology in the organization, job stress, job insecurity and job involvement. Accordingly, there will be a need to form a favorable working atmosphere so that employees can perform their jobs with positive psychology and without any insecurity or stress. Originality/value: The study is thought to contribute to the literature in terms of measuring organizational cynicism while layoffs continue due to AI advancements. 2024, Emerald Publishing Limited.
creator: Sharma K.; Davidson B.G.J.; George J.P.; Muttungal P.V.
source: Evidence-based HRM
publisher: Emerald Publishing
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 20493983
format: Online
language: English
type: Article
coverage: Sharma K., School of Business and Management, Christ University, Bangalore, India; Davidson B.G.J., School of Business, University of the Fraser Valley, Abbotsford, Canada, Department of Marketing, Strategy, and Entrepreneurship, University Canada West, Vancouver, Canada, Department of Business Administration, Acsenda School of Management, Vancouver, Canada; George J.P., School of Business and Management, Christ University, Bangalore, India; Muttungal P.V., Department of Psychology, Christ University, Bangalore, India

Employee experience, well-being and turnover intentions in the workplace
subject: Employee turnover; Well-being
description: Purpose: This study aims to examine the role of employee experience in influencing employee well-being and turnover intentions within organizations. The mediating role of well-being will also be investigated, along with an exploration of whether these relationships differ across genders, specifically in the Indian corporate context. Design/methodology/approach: A descriptive, quantitative study was conducted using structured questionnaires to gather data from 111 employees in the Indian corporate sector. The study used a non-probability judgment sampling method. Data was analyzed through SPSS for descriptive and inferential statistics, and partial least squares was used to explore mediation and model fit. Findings: The study found a significant impact of employee experience on well-being, as well as a negative correlation between both employee experience and turnover intention and well-being and turnover intention. Well-being was found to partially mediate the relationship between employee experience and turnover intention. Gender-based analysis revealed no significant differences in the relationships between these variables for men and women. Originality/value: This research highlights the universal applicability of employee experience as a predictor of well-being and turnover intention, irrespective of gender. By establishing that gender does not moderate these relationships, this study provides new insights challenging traditional assumptions about gender disparities in workplace outcomes. 2024, Emerald Publishing Limited.
creator: Nair S.; Hawaldar A.; Kumar A.
source: International Journal of Organizational Analysis
publisher: Emerald Publishing
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 19348835
format: Online
language: English
type: Article
coverage: Nair S., School of Business and Management, CHRIST University, Bangalore, India; Hawaldar A., School of Business and Management, CHRIST University, Bangalore, India; Kumar A., School of Business and Management, CHRIST University, Bangalore, India

Machine learningbased approaches for enhancing human resource management using automated employee performance prediction systems
subject: Artificial intelligence; Decision making; Employee performance; Human resource; Machine learning; Random Forest
description: Purpose: This study focuses on enhancing the accuracy and efficiency of employee performance prediction to enhance decision making and improve organisational productivity. By introducing advance machine learning (ML) techniques, this study aims to create a more reliable and data-driven approach to evaluate employee performance. Design/methodology/approach: In this study, nine machine learning (ML) models were used for forecasting employee performance: Random Forest, AdaBoost, CatBoost, LGB Classifier, SVM, KNN, XGBoost, Decision Tree and one Hybrid model (SVM + XGBoost). Each ML model is trained on an HR data set covering various features such as employee demographics, job-related factors and past performance records, ensuring reliable performance predictions. Feature scaling techniques, namely, min-max scaling, Standard Scaler and PCA, have been used to enhance the effectiveness of employee performance prediction. The models are trained to classify data, predicting whether an employees performance meets expectations or needs improvement. Findings: All proposed models used in the study can correctly categorize data with an average accuracy of 94%. Notably, the Random Forest model demonstrates the highest accuracy across all three scaling techniques, achieving optimise accuracy, respectively. The results presented have significant implications for HR procedures, providing businesses with the opportunity to make data-driven decisions, improve personnel management and foster a more effective and productive workforce. Research limitations/implications: The scope of the used data set limits the study, despite our models delivering high accuracy. Further research could extend to different data sets or more diverse organisational settings to validate the models effectiveness across various contexts. Practical implications: The proposed ML models in the study provide essential tools for HR departments, enabling them to make more informed data driven decisions with regard to…
creator: Uppal A.; Awasthi Y.; Srivastava A.
source: International Journal of Organizational Analysis
publisher: Emerald Publishing
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 19348835
format: Online
language: English
type: Article
coverage: Uppal A., Symbiosis Law School, Noida, Constituent of Symbiosis International (Deemed) University, Noida, India; Awasthi Y., School of Commerce, Finance and Accountancy, Christ University, Bengaluru, India; Srivastava A., Department of Management, Institute of Technology and Science, Ghaziabad, India