Precursor to employee engagement AMID knowledge workers
Employee engagement professional contentment career development; Job enrichment information technology; Methodology
The main objective of this study is to critically analyze the precursor to employee engagement. The research methodology used in this research is descriptive research. In primary data, responses are collected through well framed questionnaires and direct interaction with the employees to selected sample of 550 respondents of information technology organisations in Bengaluru City. The questionnaire consists of 20 questions based on employee engagement precursor. To reduce the dimension of this an exploratory factor analysis was carried out and 3 factors explaining 65.26% of the variance were derived. The 3 precursors identified as professional contentment (Cronbach's alpha 0.940) career development (Cronbach's alpha 0.836) and job enrichment (Cronbach's alpha 0.826). The current study adds to the research pointing at precursors to employee's engagement among knowledge researcher. Medwell Journals, 2017.
Journal of Engineering and Applied Sciences, Vol-12, No. Specialissue4, pp. 6760-6763.
https://doi.org/10.3923/jeasci.2017.6760-6763 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040950026&doi=10.3923%2fjeasci.2017.6760-6763&partnerID=40&md5=c4524fe44f906fe23706310aa3dde80b
Philip P., Department of Management, Academy of Maritime Education and Training (AMET) University, Chennai, India; Mani A., Christ University, Hosur Road, Bengaluru, India
Planned fashion obsolescence in the light of supply chain uncertainty
Artificial intelligence; Circular economy; Fast fashion; Media; Supply Chain uncertainty
Fast fashion has popularised the phenomenon of perceived obsolescence whereby customers try to stay in line with the current fashion trends in the market even though the apparel they own are in perfect condition. This has ultimately led the fashion industry to become the second largest polluter in the world. The primary objective of this research paper is to comprehend how the media manoeuvres customers to indulge in fast fashion and how that in turn leads to uncertainty in the supply chain. To understand this, a maximum variation sampling method was adopted which consisted of customers, supply chain partners and marketers. In order to draw a parallel between the variables researched in the past and the present day scenario, an interview schedule was employed. Through the variables selected with the help of Dedoose, a model was created to identify the hurdles faced by suppliers as well as the customer in the fast fashion cycle. The results found that the power to break the fast fashion phenomenon lay in the hands of the media as it is through them that customers' perception can be altered. The importance of artificial intelligence in SCM and the modern tools used in industry 4.0 have also been discussed. 2020 Allied Business Academies.
Academy of Strategic Management Journal, Vol-19, No. 1, pp. 1-17.
Philip R.S., CHRIST (Deemed to be University), India; Anian A.M., CHRIST (Deemed to be University), India; Raja A.S.M., CHRIST (Deemed to be University), India
Hope; Journey; Purpose; Salvation; Sin; Spiritual quest; Truth
This research is a comparative study of the Journey of Santiago in 'The Alchemist' who is after a personal legend and Christian in 'The Pilgrim's Progress' who sets his journey to attain Salvation. The aim of the study is to understand the similarities and diff erences of the terms such as Spiritual Quest, Sin, Purpose of Life, Truth and Sin. The growth of the two journeys has been analysed by highlighting the similarities and differences between the two. Such comparison not only helps in better understanding but it also helps to find new insights. Through the observations one states that though material treasure brings happiness but it is momentarily but a journey of trusting God will bring better understanding of the world. IJSTR 2019.
International Journal of Scientific and Technology Research, Vol-8, No. 11, pp. 1638-1641.
International Journal of Scientific and Technology Research
Philip S., CHRIST(Deemed to be University), Lavasa, India
Advancing the Evaluation of Oral Fluency in English for Specific Classrooms: Harnessing Natural Language Processing Tools for Enhanced Assessment
accuracy; English speaking skills; fluency; NLP speech assessment
A crucial component of language learning and teaching is evaluating students' speaking abilities. Natural language processing (NLP) techniques have been employed recently in language assessment to automate the evaluation process and produce more impartial and reliable findings. In this study, we offer a speaking evaluation tool based on Natural Language Processing (NLP) that assesses a learner's speaking ability in real-time using cutting-edge algorithms. The instrument is altered to assess the fundamental facet of speaking skills - Fluency. As a result of the tool's immediate feedback, learners may pinpoint their areas of weakness and focus on honing their language abilities. The usefulness of the instrument was assessed through an intervention with a sample size of 30 students of the post-graduate students of a college in Pune, India. Python libraries, including random and re, were utilized to implement the algorithm. Data preprocessing involved accurate transcription of videos using an online tool and manual checking for corrections. Despite acknowledging limitations, such as potential biases in manually inserted hesitation markers, the study serves as a pivotal step toward automated fluency assessment, presenting exciting prospects for NLP and language education advancements. 2024 IEEE.
TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/TQCEBT59414.2024.10545199 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204453457&doi=10.1109%2fTQCEBT59414.2024.10545199&partnerID=40&md5=2c4662c0eb82f3ec9d5b8469c97ebb37
Philip S., Christ (Deemed to Be University), Department of Languages, India; Thomas C.A., Christ (Deemed to Be University), Department of English and Cultural Studies, India; Kumbhar N.B., Christ (Deemed to Be University), Department of Data Science, India
A Multi-Layer Complex Adaptive System Framework for AI-Driven Robo-Advisory Services
Adaptive decision-making; Complex adaptive systems; FinTech algorithms; Investor behavior; Machine learning analytics; Nonlinear dynamics; Real-time financial data; Reinforcement learning; Robo-advisory systems; Simulation modeling
The rapid integration of Artificial Intelligence (AI) into investment advisory services has changed financial decision-making, giving rise to adaptive robo-advisory systems capable of real-time analysis, personal recommendations, and autonomous portfolio optimization. Existing research evaluates these systems primarily through technological performance or investor adoption, overlooking the complex feedback-driven interactions that emerge when AI analytics, data environments, and human behavior operate together. This study addresses this gap by conceptualizing AI-enabled robo-advisors as a multi-layered Complex Adaptive System comprising historical data, real-time data, AI analytics, investor perception, and decision-making layers. A simulation model grounded in machine learning dynamics, behavioral finance, and complexity theory is developed to capture nonlinear interactions, adaptive learning, and emergent investor responses. Results show that historical data acts as a stabilizing memory, real-time data amplifies short-term volatility, AI analytics self-organize toward performance equilibrium, and investor perception evolves through nonlinear trust thresholds that ultimately drive decision lock-in. Complexity measures reveal that adaptive intelligence is concentrated in the historical and perception layers, while the decision layer becomes increasingly deterministic as feedback loops strengthen. The findings provide a unified system-level understanding of robo-advisory ecosystems and highlight the need for governance structures that incorporate transparency, behavioral dynamics, and adaptive model monitoring. This framework offers a foundation for designing more resilient, trustworthy, and sustainable AI-driven financial advisory systems. 2026 Binghamton University Libraries. All rights reserved.
Philip, Jesty Mariam; Boralkar, Mohit; Joseph, Alwin
Northeast Journal of Complex Systems;Volume;8;Issue;1;Article No.;5;
https://doi.org/10.63562/2577-8439.1142 https://www.scopus.com/pages/publications/105035144483?origin=resultslist
Philip J.M., CHRIST University, India; Boralkar M., CHRIST University, India; Joseph A., CHRIST University, India
Readers' perceptions of the pauls publications in the archdiocese of Bangalore /
“A good book has no ending,” says RD Cumming. Similarly, a good book inspires, encourages and comforts each time we read it. ST PAULS Publications, have been enriching and enlightening minds of innumerable readers for more than six decades. So for ST PAULS have published more than 1000 titles in different languages in India.
An experimental study on improving speaking skills through the integration of existential intelligence for post graduate learners of business studies
"Within the field of ESP, the constrained access to discipline-specific materials has intensified the demand, emphasizing an acute necessity for refining speaking skills, particularly in conversational contexts. This reflects an evolving paradigm, emphasizing the critical need for refined and specialized speaking competencies within their scholarly domain. The dissertation examines the use of a learning module created for Postgraduate students of Business studies to improve their speaking skills. The study uses Task based Language Teaching (TBLT) approach and excerpts from Literature for pedagogical instruction, employing Dialogic Inquiry Model (DIM) as a framework and using Existential Intelligence as a guiding lens. Language and Intelligence are closely intertwined. Educational Psychologist Howard Gardner posed a challenge to the conventional notion of Intelligence which supported higher IQ based tests by introducing the Theory of Multiple Intelligences. Gardner's Intelligence framework initially comprised of seven types. In 1999, he introduced Existential Intelligence (EI), expanding the model to include EI as a half intelligence, but due to its abstract nature and lack of clear brain localization, it has posed challenges for precise quantification. Furthermore, Howard Gardner’s Intelligence Reframed (1999) was used as the primary text for the study. By contextualizing the study within Higher Education's Business studies domain, it examines how existential principles influence the development of speaking skills. Additionally, it explores how these principles contribute in shaping aspiring business entrepreneurs, providing added motivation to instill a sense of purpose which will enhance their managerial attributes. The research argues that infusing unexplored existential elements into the curriculum can stimulate critical thinking among Business Studies students, resulting in notable improvements in specific speaking dimensions like Fluency, Turn-Taking, Presentation and Negotiation skills (FTPN). Moreover, it highlights the pivotal role of this integration in reshaping ESP curricula to better cater to the unique needs of learners in this discipline. The research comprised of two cohorts of students. The first cohort consisted of first- year postgraduate students pursuing Business Studies at Sinhagad Institute of Management (SIOM), Pune while the second cohort included students from CHRIST Deemed to be University) Pune Lavasa Campus, resulting in a cumulative total of approximately 68 participants. The study extended over a 15-day duration to facilitate the completion of a comprehensive 30-hour module for both the phases separately. The study employs a mixed-method approach by combining qualitative and quantitative analysis. For the qualitative study, the analysis involved researcher’s observations and an examination of Achievement tests questionnaires employing the Likert scale. For quantitative analysis, a series of six Task-Based Language Teaching (TBLT) activities were conducted, encompassing pre and post achievement tests, each of which was assessed based on the study's objectives. The assessment tool utilized is the Communicative Skills Rating Scale (CSRS) by Spitzberg and Cupach (2002), featuring a four-tier evaluation system: self, partner, observer, and external evaluations. Data was collected via Audio-Visual methods for documentation purposes and to cross-reference any overlooked data during the concurrent evaluation process. The collected data underwent a systematic analysis to investigate how applying EI principles can improve conversational speaking skills. The efficacy of the learning module was evaluated based on the proficiency demonstrated in TBLT activities concerning FTPN skills. TBLT activities were administered both prior to and subsequent to the completion of each unit. The assessment of the effectiveness of classroom pedagogy (independent variable) was gauged through the researcher's observations and achievement test questionnaires. Simultaneously, the evaluation of participants' specific conversational skills (dependent variable) was evaluated and analyzed through the course of experimental study using CSRS evaluation scale. Data was analysed using Descriptive statistics through Excel and it was verified using R programming. The research delineates apparent improvements in FTPN within the DIM framework upon the integration of this intervention. Noteworthy enhancements also included a heightened motivation levels across the sample population. Both fast and slow learners exhibited advancements, with a more pronounced improvement observed among the latter group. Additionally, significant strides were observed in non-verbal proficiencies, notably in body posture, and refined listening and responsive non-verbal skills, which was a byproduct of the intervention. Also, a Gender-based analysis revealed an overall positive trend in both male and female students, yet a comparatively greater enhancement was evident among male students in assimilating and applying these interventions. The analysis of data obtained from the CSRS tool shows statistically significant influence on overall English anguage production of the participants in terms of FTPN variables. Moreover. progress tests provided statistically significant evidence for the efficacy of the researcher- developed learning module based on TBLT and DIM approach integrated using EI subsets. Each phase of participants underwent separate experimentation and assessment of their proficiency both before and after the intervention. The pre-achievement test revealed inadequate speaking skills and a lack of basic conversational understanding in both cohorts. Phase 1 (SIOM) showcased noticeable improvement, with a growth in Fluency (39.7%), Presentation (32.1%), Negotiation (37.3%), and Turn-Taking (38.5%) using the CSRS tool. Fast learners improved by an average of 24.1%, while slow learners showed a significant average increase of 51% from their pretest scores. Moreover, there was a 15.7% increase in motivation levels during the intervention. Group 2 (CUL) exhibited improvements in Fluency (36.35%), Presentation (35.8%), Negotiation (43.7%), and Turn-taking (40.5%). Fast learners increased by an average of 26.9%, and slow learners saw an average increase of 49.6% from their pretest scores. Additionally, there was an 18.2% spike in motivation levels during the intervention. Overall, the analysis of CSRS data and progress tests strongly supports the effectiveness of the researcher-developed learning module based on existential principles. It significantly enhanced oral participation and achievement of learning outcomes across both groups. The results through the post-achievement test showed that the researcher-developed learning module had a statistically significant influence on overall English language production in the participants. In educational psychology, Multiple Intelligence has garnered substantial research attention for its application in ESL/EFL and broader school curricula, particularly in teaching English and various subjects. However, the integration of Existential Intelligence within the context of ESP remains unexplored. Its potential significance and applicability within higher education for business students could be substantial. This intelligence category, rooted in philosophy, mysticism, aesthetics, and related domains, aligns closely with the fundamental realms of interest for MBA students. Its introduction could offer profound implications for their learning experience and academic endeavors. The research attempts to contribute to the growing field of English for Specific Field ix for Business students by situating the study within the Pune district of Maharashtra by analysing only FTPN which further offers scope for exploration. "
An Experimental Study on Improving Speaking Skills Through the Integration of Existential Intelligence for Post Graduate Learners of Business Studies
Within the field of ESP, the constrained access to discipline-specific materials has intensified the demand, emphasizing an acute necessity for refining speaking skills, particularly in conversational contexts. This reflects an evolving paradigm, emphasizing the critical need for refined and specialized speaking competencies within their scholarly domain. The dissertation examines the use of a learning module created for Postgraduate students of Business studies to improve their speaking skills. The study uses Task based Language Teaching (TBLT) approach and excerpts from Literature for pedagogical instruction, employing Dialogic Inquiry Model (DIM) as a framework and using Existential Intelligence as a guiding lens. Language and Intelligence are closely intertwined. Educational Psychologist Howard Gardner posed a challenge to the conventional notion of Intelligence which supported higher IQ based tests by introducing the Theory of Multiple Intelligences. Gardner's Intelligence framework initially comprised of seven types. In 1999, he introduced Existential Intelligence (EI), expanding the model to include EI as a half intelligence, but due to its abstract nature and lack of clear brain localization, it has posed challenges for precise quantification. Furthermore, Howard Gardners Intelligence Reframed (1999) was used as the primary text for the study. By contextualizing the study within Higher Education's Business studies domain, it examines how existential principles influence the development of speaking skills. Additionally, it explores how these principles contribute in shaping aspiring business entrepreneurs, providing added motivation to instill a sense of purpose which will enhance their managerial attributes. The research argues that infusing unexplored existential elements into the curriculum can stimulate critical thinking among Business Studies students, resulting in notable improvements in specific speaking dimensions like Fluency, Turn-Taking, Presentation and Negotiation skills (FTPN). Moreover, it highlights the pivotal role of this integration in reshaping ESP curricula to better cater to the unique needs of learners in this discipline. The research comprised of two cohorts of students. The first cohort consisted of first- year postgraduate students pursuing Business Studies at Sinhagad Institute of Management (SIOM), Pune while the second cohort included students from CHRIST Deemed to be University) Pune Lavasa Campus, resulting in a cumulative total of approximately 68 participants. The study extended over a 15-day duration to facilitate the completion of a comprehensive 30-hour module for both the phases separately. The study employs a mixed-method approach by combining qualitative and quantitative analysis. For the qualitative study, the analysis involved researchers observations and an examination of Achievement tests questionnaires employing the Likert scale. For quantitative analysis, a series of six Task-Based Language Teaching (TBLT) activities were conducted, encompassing pre and post achievement tests, each of which was assessed based on the study's objectives. The assessment tool utilized is the Communicative Skills Rating Scale (CSRS) by Spitzberg and Cupach (2002), featuring a four-tier evaluation system: self, partner, observer, and external evaluations. Data was collected via Audio-Visual methods for documentation purposes and to cross-reference any overlooked data during the concurrent evaluation process. The collected data underwent a systematic analysis to investigate how applying EI principles can improve conversational speaking skills. The efficacy of the learning module was evaluated based on the proficiency demonstrated in TBLT activities concerning FTPN skills. TBLT activities were administered both prior to and subsequent to the completion of each unit. The assessment of the effectiveness of classroom pedagogy (independent variable) was gauged through the researcher's observations and achievement test questionnaires. Simultaneously, the evaluation of participants' specific conversational skills (dependent variable) was evaluated and analyzed through the course of experimental study using CSRS evaluation scale. Data was analysed using Descriptive statistics through Excel and it was verified using R programming. The research delineates apparent improvements in FTPN within the DIM framework upon the integration of this intervention. Noteworthy enhancements also included a heightened motivation levels across the sample population. Both fast and slow learners exhibited advancements, with a more pronounced improvement observed among the latter group. Additionally, significant strides were observed in non-verbal proficiencies, notably in body posture, and refined listening and responsive non-verbal skills, which was a byproduct of the intervention. Also, a Gender-based analysis revealed an overall positive trend in both male and female students, yet a comparatively greater enhancement was evident among male students in assimilating and applying these interventions. The analysis of data obtained from the CSRS tool shows statistically significant influence on overall English anguage production of the participants in terms of FTPN variables. Moreover. progress tests provided statistically significant evidence for the efficacy of the researcher- developed learning module based on TBLT and DIM approach integrated using EI subsets. Each phase of participants underwent separate experimentation and assessment of their proficiency both before and after the intervention. The pre-achievement test revealed inadequate speaking skills and a lack of basic conversational understanding in both cohorts. Phase 1 (SIOM) showcased noticeable improvement, with a growth in Fluency (39.7%), Presentation (32.1%), Negotiation (37.3%), and Turn-Taking (38.5%) using the CSRS tool. Fast learners improved by an average of 24.1%, while slow learners showed a significant average increase of 51% from their pretest scores. Moreover, there was a 15.7% increase in motivation levels during the intervention. Group 2 (CUL) exhibited improvements in Fluency (36.35%), Presentation (35.8%), Negotiation (43.7%), and Turn-taking (40.5%). Fast learners increased by an average of 26.9%, and slow learners saw an average increase of 49.6% from their pretest scores. Additionally, there was an 18.2% spike in motivation levels during the intervention. Overall, the analysis of CSRS data and progress tests strongly supports the effectiveness of the researcher-developed learning module based on existential principles. It significantly enhanced oral participation and achievement of learning outcomes across both groups. The results through the post-achievement test showed that the researcher-developed learning module had a statistically significant influence on overall English language production in the participants. In educational psychology, Multiple Intelligence has garnered substantial research attention for its application in ESL/EFL and broader school curricula, particularly in teaching English and various subjects. However, the integration of Existential Intelligence within the context of ESP remains unexplored. Its potential significance and applicability within higher education for business students could be substantial. This intelligence category, rooted in philosophy, mysticism, aesthetics, and related domains, aligns closely with the fundamental realms of interest for MBA students. Its introduction could offer profound implications for their learning experience and academic endeavors. The research attempts to contribute to the growing field of English for Specific Field ix for Business students by situating the study within the Pune district of Maharashtra by analysing only FTPN which further offers scope for exploration.
Domination chain; Independent partial dominating set; Partial independent set
For p ? (0, 1], a set S ? V is said to p-dominate or par-tially dominate a graph G = (V, E) if|N[S]| |V | ? p. The minimum cardinality among all p-dominating sets is called the p-domination number and it is denoted by ?p(G). Analogously, the independent partial domination (ip(G)) is introduced and studied here independently and in re-lation with the classical domination. Further, the partial independent set and the partial independence number ?p(G) are defined and some of their properties are pre-sented. Finally, the partial domination chain is established as ?p(G) ? ip(G) ? ?p(G) ? ?p(G). L. Philo Nithya et al.
Philo Nithya L., Department of Mathematics, Christ University, Karnataka, Bengaluru, India; Kureethara J.V., Department of Mathematics, Christ University, Karnataka, Bengaluru, India
Cultural Memory In The Captivity Novels of NA D'Souza Alan Machado
Captivity novels are stories of men and women who were abducted and forcibly taken as captives and subjugated to slavery, usually for religious or political reasons. The research critically engages the captivity novels of Na DSouza and Alan Machado, which vividly evoke the harrowing captivity experience of Mangalore Konkani Catholic community during Tipu Sultans regime. It is alleged that Tipu, after the Second Anglo-Mysore war, wreaked vengeance on Konkani Catholic Christians on suspicion for betraying him and supporting the British. After two hundred years of great silence, the struggle for identity and the quest for history led the post-conflicting community to articulate the contents of the archives into the fabric of a literary composition. The literary works of DSouza and Machado are an essential bridge between generations problematizing history and memory illustrating the events of Great Captivity. The captivity narratives are cultural artefacts of memory that present alternative history of the Mysore Kingdom and revive the memories of the captivity experience of Mangalore Konkani Catholic Christians. The memories of the miseries revived in the writings of DSouza and Machado at the beginning of the twenty first century from the victims point of view expose the gaps in the official records of the Mysore Kingdom and emphasise the community's resilience and cultural significance. These narratives constitute the melancholic representation of the traumatic experience of the community and enable the community of the sufferers to re-live the torments which in turn act as a therapeutic agent. Thus, the imaginative recount of the Great Captivity by DSouza and Machado in the form of novels using memory as a tool challenge the historical construct and call for a legitimate space for the vanquished version in the construction of history.
History of gestational diabetes mellitus, self-efficacy and coping in postpartum women: A pilot study
Coping; History of gestational diabetes; Postpartum women; Self-efficacy
The present study investigates whether the history of gestational diabetes mellitus (GDM) influences self-efficacy and coping among postpartum women. Purposive sampling technique was used to collect data from 100 postpartum women, 50 with a history of GDM and 50 without. The General Perceived Self-Efficacy Scale was used to measure the self-efficacy of the participants. The Brief COPE developed by Carver was used to measure coping. A Mann-Whitney U-test showed postpartum women with a history of GDM are higher in self-efficacy and coping than those without such a history. Even though self-efficacy showed a relationship to coping, the two groups differed in the use of coping strategies. 2018 by the Research Institute of Asian Women, Sookmyung Women's University. All rights reserved.
Asian Women, Vol-34, No. 4, pp. 101-115.
Pienyu R., Department of Psychology, Christ University, Bengaluru, India; Thomas S., Department of Psychology, Christ University, Bengaluru, India; Rajan S.K., Department of Psychology, Christ University, Bengaluru, India
Assessing factors influencing intentions to use cryptocurrency payments in the hospitality sector
Behavioral reasoning theory; Cryptocurrency payment; Hospitality; PLS-SEM; Use intention
Purpose: The emergence of cryptocurrency has developed a new payment system that is changing how financial transactions happen in hospitality. Consumers/travelers have started experimenting with cryptocurrency payments in hotels and restaurants. However, extant research is lacking in understanding the consumer adoption intention of cryptocurrency payments. This study investigates the intention to use cryptocurrency payments in the hospitality industry. Design/methodology/approach: The conceptual model in this study is based on the Behavioral Reasoning Theory, and it explores the motivating and deterring factors influencing the adoption of cryptocurrency payments in the hospitality industry. A quantitative survey was conducted among 1,080 consumers to examine and confirm the model, with data being analyzed through the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. Findings: The outcome of this work showed that the reasons for positively influence and reasons against negatively influence consumers attitudes and use intentions. Consumers values of openness to change positively influence the reasons for and do not influence the reasons against and attitude toward the use of cryptocurrency payments. Practical implications: This work contributes to practice by providing insights to customers (users/payee), hospitality managers (investors) and organizations/firms (receiving crypto payments) as well as to financial firms and the government. Originality/value: This research contributes to cryptocurrency payment adoption and behavioral finance literature. The research uniquely provides the adoption and inhibiting factors for cryptocurrency payment in an integrated framework in the hospitality sector. 2024, Emerald Publishing Limited.
Pillai R.; Preet R.; Sivathanu B.; Rana N.P.
https://doi.org/10.1108/ITP-07-2023-0673 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200560638&doi=10.1108%2fITP-07-2023-0673&partnerID=40&md5=b8912d6b759bd0b812b68d800c4171e0
Pillai R., Department of Management, Pune Institute of Business Management, Pune, India; Preet R., Department of Management, Pune Institute of Business Management, Pune, India; Sivathanu B., School of Business and Management, Christ University, Bangalore, India; Rana N.P., Queen's Business School, Queen's University Belfast, Belfast, United Kingdom, Chandragupt Institute of Management Patna, Patna, India
Unveiling virtual interactive marketplaces: Shopping motivations in the Metaverse through the lens of uses and gratifications theory
Metaverse shopping; Necessary Condition Analysis (NCA); Personalization; PLS-SEM; Uses and gratifications
The emergence of Metaverse has transformed the consumer shopping experience. This novel e-commerce platform offers a fresh approach to shopping, with Generation Z primarily exploring this innovative technology. Our research examines shopping within the Metaverse by developing a model based on the Uses and Gratifications Theory and Metaverse-related factors. A total of 1220 Gen Z consumers were surveyed, and data was collected using a structured questionnaire. Further, analysis of collected data was done using PLS-SEM. The results reveal that information seeking, perceived enjoyment, escapism, social interaction, sense of immersion, and personalization influence the shopping intention in the Metaverse, and perceived risk negatively influences the shopping intention of consumers. Further, shopping intention influences the potential use of Metaverse for shopping, and this relationship is moderated by technological innovativeness. This investigation into the adoption of the Metaverse for retail purposes augments the current Metaverse research and enhances the uses and gratifications theory within the Metaverse domain. Metaverse e-commerce professionals, including managers and developers, can acquire valuable perspectives on consumer shopping tendencies in the Metaverse from this study. 2025 The Author(s)
All Open Access; Hybrid Gold Open Access
https://doi.org/10.1016/j.jbusres.2025.115219 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216855867&doi=10.1016%2fj.jbusres.2025.115219&partnerID=40&md5=30fdb91fb8fb3535a49e8e7b55212c2d
Pillai R., Department of Management, Pune Institute of Business Management, Maharashtra, Pune, India; Sivathanu B., School of Business and Management, Christ University, Karnataka, Bengaluru, 560074, India; Rana N.P., Queen's Business School, Queen's University Belfast, Belfast, BT9 5EE, United Kingdom, Jaipuria Institute of Management, Lucknow, India
Assessing the Determinants of Metaverse Adoption for E-Commerce Retailing
Metaverse shopping; PLS-SEM; sense of immersion; technological anxiety; UTAUT2
The advent of metaverse technology has impacted the retail sector, shaping e-commerce platforms into a new form of metaverse-based online shopping environments. The metaverse e-commerce experience is new to shoppers, making it crucial to comprehend consumer reactions to this technology in the context of retail. This study explores the shopping intention and potential use of the metaverse for shopping using the UTAUT2 model and metaverse-based context-specific antecedents. Using a structured questionnaire, data from 1340 consumers were collected and analyzed through PLS-SEM. The findings indicated that factors such as performance expectancy, effort expectancy, social influence, hedonic motivation, and facilitating conditions influence shopping intention in the e-commerce metaverse. The metaverse-related antecedents, namely, a sense of immersion and imagination, have a positive influence, whereas technological anxiety and perceived security and privacy concerns have a negative impact on e-commerce shopping intention in the metaverse. It was also found that shopping intention influences the potential use of metaverse for shopping and that stickiness to traditional shopping negatively moderates this relationship. This unique research explores consumer buying behavior in the metaverse. It provides marketers, e-commerce managers, designers, and developers of metaverse platforms with the antecedents of the potential use of the metaverse for shopping insights. Consumer policymakers can also draw insights from this study. 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.
Pillai R.; Sivathanu B.; Rana N.P.; Struweg I.
Pillai R., Pune Institute of Business Management, Pune, India; Sivathanu B., Christ University, Bangalore, India; Rana N.P., Queens University Belfast, Belfast, United Kingdom, Chandragupt Institute of Management Patna, Bihar, India; Struweg I., University of Johannesburg, Johannesburg, South Africa
Early detection of breast cancer using ER specific novel NIR fluorescent dye conjugate: A phantom study using FD-f-DOT system
Breast cancer; Diffuse optical tomography; Estrogen receptors; Fluorescence; Fluorescent dye; Target specific
Fluorescence diffuse optical tomography (f-DOT) is an imaging technique that can quantify the spatial distribution of fluorescent tracers in small animals and human soft tissues. Efficacy of f-DOT imaging can be improved by tagging a functional group to the dye. A novel estrogen receptor (ER) specific near-infrared (NIR) fluorescent dye conjugate was synthesized which can be effectively used for detecting breast cancer tissues at an early stage. Our novel dye, Near Infrared Dye Conjugate-2 (NIRDC-2), is a conjugate of 17?-estradiol with an analogue of Indocyanine Green dye, bis1,1-(4-sulfobutyl) indotricarbocyanine-5-carboxylic acid, sodium salt. Our present study focuses on imaging cylindrical silicone phantoms using Frequency Domain f-DOT system. Background absorption and scattering coefficients were 0.01mm-1 and 1mm-1 respectively. 10?M concentration of NIRDC-2 and Indocyanine Green (ICG) were administered separately into a cylindrical hole (target) of size 8mm diameter in the phantom. In-silico studies were performed to analyze the properties of dyes using experimental data. Absorption coefficient of 0.0002 mm-1 was recovered for the background. Fluorophore absorption coefficient at the target recovered were 0.000173 mm-1 and 0.000408 mm-1 for ICG and NIRDC-2 respectively. In comparison with ICG, our novel dye had a two fold higher target to background contrast. Recovered target position was accurate but size altered. In concurrence with the recovered fluorescent property and the cell lines studies carried out earlier, binding properties of NIRDC-2 makes it a potential probe for the early tumor detection using f-DOT system. COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol-10874
Pillai V.J., Faculty of Engineering, CHRIST Deemed to Be University, Bangalore, 560074, India; Jose I., Faculty of Engineering, CHRIST Deemed to Be University, Bangalore, 560074, India; Ramachandran H., Raman Research Institute, Bangalore, 5600, India
SUSTAINABLE CHOICES, GENERATIONAL VOICES: UNRAVELING THE GREEN BUYING BEHAVIOR OF MILLENNIALS AND ZOOMERS USING THE THEORY OF PLANNED BEHAVIOR
Ecological values; Environmental awareness; Perceived consumer effectiveness; Social influence stewardship model; Subjective norms
Younger generations have begun to change their purchasing behaviour in response to growing environmental concerns and global sustainability efforts. This research evaluates the eco-friendly shopping habits of Zoomers (born 19972012) and Millennials (born 19811996) in India. The research employs the Theory of Planned Behaviour (TPB) to analyse how the stewardship model, subjective norms, perceived consumer effectiveness, environmental attitudes and ecological values influence green product buying behaviour. A quantitative research design was adopted, and data were collected from 391 respondents across urban, semi-urban, and rural regions using a structured questionnaire. The relationship between the constructs were examined using structural equation modelling (SEM). The results indicate that environmental awareness (? = 0.558) has a strong positive influence on green purchasing behaviour, followed by social influence (? = 0.225). Environmental awareness is significantly driven by attitude towards the environment (? = 0.430) and ecological values (? = 0.356). Social influence is primarily driven by subjective norms (? = 0.338) and perceived consumer effectiveness (? = 0.187), whereas stewardship orientation has a negligible effect (? = 0.025). The model explains 50.7% of the variance in green purchasing behaviour (R = 0.507), 51.1% in environmental awareness (R = 0.511), and 28.4% in social influence (R = 0.284). The findings confirm the presence of an attitudebehaviour gap, where positive environmental attitudes do not consistently translate into actual purchasing behaviour because of various influences such as price sensitivity and the non-existence of sustainable products. This study contributes to the literature by extending TPB through the inclusion of ecological and social mediators and by providing comparative insights into generational differences in an emerging market context. The results provide useful implications for marketers and policymakers to create focused strategies that encourage sustainable consumption. 2026, School of Environmental Science, Universitas Indonesia. All rights reserved.
Pillai, Bhadra Thulaseedharan; Nagarathinam, Aishwarya; Bhagat, Shikha; Paramasivan, Senthilmurugan
Journal of Environmental Science and Sustainable Development;Volume;9;Issue;1;pp.129-151
School of Environmental Science, Universitas Indonesia
https://doi.org/10.7454/jessd.v9i1.1413 https://www.scopus.com/pages/publications/105039863968?origin=resultslist
Pillai B.T., School of Business and Management, Christ University, Karnataka, Bangalore, 560076, India; Nagarathinam A., School of Business and Management, Christ University, Karnataka, Bangalore, 560076, India; Bhagat S., School of Business and Management, Christ University, Karnataka, Bangalore, 560076, India; Paramasivan S., School of Business and Management, Christ University, Karnataka, Bangalore, 560076, India
Thunchathezhuthachan /
Purpose The emergence of cryptocurrency has developed a new payment system that is changing how financial transactions happen in hospitality. Consumers/travelers have started experimenting with cryptocurrency payments in hotels and restaurants. However, extant research is lacking in understanding the consumer adoption intention of cryptocurrency payments. This study investigates the intention to use cryptocurrency payments in the hospitality industry. Design/methodology/approach The conceptual model in this study is based on the Behavioral Reasoning Theory, and it explores the motivating and deterring factors influencing the adoption of cryptocurrency payments in the hospitality industry. A quantitative survey was conducted among 1, 080 consumers to examine and confirm the model, with data being analyzed through the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. Findings The outcome of this work showed that the reasons for positively influence and reasons against negatively influence consumers attitudes and use intentions. Consumers values of openness to change positively influence the reasons for and do not influence the reasons against and attitude toward the use of cryptocurrency payments. Practical implications This work contributes to practice by providing insights to customers (users/payee), hospitality managers (investors) and organizations/firms (receiving crypto payments) as well as to financial firms and the government. Originality/value This research contributes to cryptocurrency payment adoption and behavioral finance literature. The research uniquely provides the adoption and inhibiting factors for cryptocurrency payment in an integrated framework in the hospitality sector. 2024 Emerald Publishing Limited
Pillai, Rajasshrie; Preet, Raman; Sivathanu, Brijesh; Rana, Nripendra P.
Information Technology and People;Volume;38;Issue;6;pp.2477-2505
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1108/ITP-07-2023-0673 https://www.scopus.com/pages/publications/85200560638?origin=resultslist
Pillai R., Department of Management, Pune Institute of Business Management, Pune, India; Preet R., Department of Management, Pune Institute of Business Management, Pune, India; Sivathanu B., School of Business and Management, Christ University, Bangalore, India; Rana N.P., Queen's Business School, Queen's University Belfast, Belfast, United Kingdom
Pillai, Rajasshrie; Sivathanu, Brijesh; Rana, Nripendra P.
Journal of Business Research;Volume;190;Issue;;Article No.;115219;
All Open Access; Green Open Access; Hybrid Gold Open Access
https://doi.org/10.1016/j.jbusres.2025.115219 https://www.scopus.com/pages/publications/85216855867?origin=resultslist
Optimizing resource management using hybrid metaheuristic algorithm for fog layer design in edge computing
Cloud; Edge computing; Environmental monitoring; High performance; Low power sensor network; Low-latency; Metaheuristic; Optimal resource allocation; Optimization; Reduced power consumption
The growing complexity of management in fog computing environments necessitates more efficient algorithms capable of optimizing resource allocation, minimizing latency, and maximizing throughput and energy efficiency. Existing techniques, consisting of the Multi-Objective Crow Search Algorithm (MOCSA) and Fuzzy Meta-Heuristics Optimization (FMHO), regularly suffer from suboptimal performance due to constrained exploration abilities and slower convergence fees. To overcome with these demanding situations, this paper proposes a singular Hybrid Metaheuristic Algorithm (HMA) that mixes the strengths of more than one metaheuristic techniques, along with genetic algorithms, simulated annealing, and gray wolf optimization (GA-SA-GWO). The HMA is specifically designed to enhance useful resource control in fog computing by optimizing useful resource allocation, lowering latency, and enhancing usual gadget performance. Experimental results exhibit that the proposed HMA significantly outperforms existing solutions, with 26.98 % improved latency, 90.64 % resource utilization, 96.05 % throughput, 37.06 % reduced energy utilization, and 93.85 % energy utilization. These outcomes spotlight the HMA's potential to successfully manage sources in dynamic and unpredictable fog computing environments, providing a greater scalable and robust solution for actual-time applications. 2025
Pillai, Sanjaikanth E Vadakkethil Somanathan; Paramasivam, Santhosh; Polimetla, Kiran; Dhanasekaran, Selvaraj; Agrawal, Krishna Kant; Yadav, Satya Prakash; Logeshwaran, Jaganathan; Gatto, Gianluca
Systems and Soft Computing;Volume;7;Issue;;Article No.;200323;
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1016/j.sasc.2025.200323 https://www.scopus.com/pages/publications/105008508277?origin=resultslist
Pillai S.E.V.S., School of Electrical Engineering and Computer Science, University Of North Dakota, Grand Forks, United States; Paramasivam S., Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, 09123, Italy; Polimetla K., Department of Information Technology, Adobe Inc., Austin, TX, United States; Dhanasekaran S., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Tamil Nadu, Coimbatore, 641202, India; Agrawal K.K., School of Computer Science and Engineering, Galgotias University, Greater Noida, India; Yadav S.P., Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Uttar Pradesh, Gorakhpur, India; Logeshwaran J., Department of Computer Science, Christ University, Karnataka, Bengaluru, 560029, India; Gatto G., Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, 09123, Italy