Global Journal of Enterprise Information System
Unpacking Cause-Related Marketing: An In-Depth Literature Analysis and Call for Future Research
Purpose: This study explores the inception and evolution of Cause-Related Marketing (CRM) from 1988 to 2023, a strategy where businesses donate to a cause or nonprofit organization each time a customer makes a purchase. It aims to understand how CRM is defined, its empirical impact, the primary theories and variables studied, and future directions for research. Design/Methodology/Approach: The paper adopts conceptual approach, systematically reviewing existing literature to address four key research questions related to the understanding, impact, theoretical foundations, and future prospects of CRM. Findings: The study identifies CRM as a concept emerging from Corporate Social Responsibility (CSR) and highlights its remarkable evolution over the years. Key theories explored in the CRM literature include the Elaboration Likelihood Model (ELM), Signaling Theory, Social Identity Theory, Theory of Planned Behavior (TPB), and Attribution Theory. Frequently studied variables include altruism, skepticism, product type, donation size, brand–cause fit, cause involvement, and cause type. A significant research gap is also identified, indicating substantial potential for future investigations. Originality/Value: This paper offers a comprehensive conceptual synthesis of over three decades of CRM research. By mapping the theoretical and empirical landscape, it provides valuable insights for scholars seeking to deepen understanding in this field and identifies underexplored areas that merit further scholarly attention. Paper Type: Review of Literature
Cause-Related Marketing | Corporate Social Responsibility | Consumer Behavior | Theoretical Review
Determinants of Electronic Payment System Adoption: Financial Literacy Across Demographic Cohorts
Purpose: This study examines the influence of financial literacy on the adoption and usage of Electronic Payment Systems (EPSs) across different age groups, exploring how generational differences interact with financial knowledge to shape digital payment behaviors. Design/Methodology/Approach: A systematic literature review was conducted following three-step approach, analyzing 47 studies published between 2013 and 2023. The review utilized databases including PubMed, Google Scholar, Elsevier, and Springer, with search terms related to financial literacy, electronic payment systems, and age groups. Findings: The analysis revealed four key themes: (1) Financial literacy positively influences digital payment adoption, with financially knowledgeable individuals demonstrating greater willingness to engage with EPSs; (2) Generational attitudes toward electronic payments vary significantly, with younger generations showing higher comfort and adoption rates; (3) Financial education interventions can effectively promote digital payment adoption across age groups; and (4) Barriers to digital payment adoption include infrastructure limitations, trust issues, and varying levels of financial and digital literacy. The research demonstrates that age-specific approaches to financial education are essential for broader EPS adoption. Originality: This study addresses significant gaps in the literature by specifically examining the intersection of financial literacy, electronic payment systems, and age demographics. Unlike previous research that predominantly focused on general populations, this work provides insights into how financial literacy affects EPS adoption across generational cohorts, offering targeted recommendations for age-specific interventions to enhance financial inclusion. Paper Type: Review of Literature
Financial Literacy | Electronic Payment Systems | Digital Payments | Age Groups | Generational Differences
Integration of Financial Technology (FinTech) and Artificial Intelligence
Purpose: This study aims to examine the impact of AI on FinTech by analyzing its applications, benefits, and associated challenges. It seeks to provide insights into how AI-guided solutions improve financial services while addressing risks related to data privacy, algorithmic biases, and legal frameworks. The research also explores emerging AI trends and their potential implications for the financial sector. Design/Methodology/Approach - A qualitative research approach is adopted, utilizing secondary data from academic literature, industry reports, and case studies. The study employs a systematic review method to analyze AI’s role in fraud detection, risk assessment, customer engagement, and financial decision-making. Findings - The study finds that AI significantly enhances financial service efficiency, reduces fraud, and improves customer personalization. However, concerns related to cybersecurity, ethical considerations, and regulatory challenges remain prominent. Effective AI governance and regulatory frameworks are crucial for maximizing its benefits. Originality/Value - This study contributes to the existing literature by offering a comprehensive analysis of AI’s impact on FinTech. It provides valuable insights for policymakers, financial institutions, and researchers on balancing AI innovation with regulatory and ethical considerations. Paper Type: Review of Literature
FinTech | Artificial Intelligence | Machine Learning | Financial Services | Investment Strategies | Risk Management
Educational and Vocational Aspirations of Child Labourers with Special Reference to Patna
Purpose: The prevalence of child labour remains a pressing issue in India, with over 10.12 million children aged 5–14 years engaged in labour, according to the 2011 Census. Bihar is among the states with the highest incidence. This study aims to explore the educational and vocational aspirations of rehabilitated child labourers and assess how effectively interventions like the PENCIL Portal and the National Child Labour Project (NCLP) support their reintegration through education and skills development. Design/Methodology/Approach: The research employs a descriptive case study methodology, focusing on 40 rehabilitated child labourers selected through purposive sampling. Data collection emphasized individual aspirations, challenges faced, and the role of institutional support in shaping future goals. Findings: The study reveals that while many children exhibit strong aspirations for education and vocational training, their progress is often impeded by financial constraints, inadequate family support, and limited access to quality education. Internal motivation and structured vocational training emerged as critical enablers, with 70% of participants expressing interest in skill-based education as a pathway to better opportunities. The findings underscore the importance of tailored interventions under the National Education Policy 2020 to promote equitable access for socio-economically disadvantaged groups. Originality/Value: This study contributes to the understanding of post-rehabilitation outcomes for child labourers, highlighting the gaps between policy intent and ground-level implementation. It offers evidence-based insights to inform future strategies aimed at enhancing the aspirations and opportunities of marginalized children through education and vocational training. Paper Type: Case Based Study
Child Labour | Educational Aspirations | Vocational Aspirations | NEP 2020
Construction Project Management Special reference to Alternate Building Foundation methods
Purpose: This study gives the theoretical aspects of soil testing and pile foundation design. It suggest general recommendation and alternate design of foundation which gives cost saving. The step by procedures and methodology of alternate foundation is illustrated in the paper. Design / Methodology / Approach: This is on site and laboratory testing methodologies are followed. This study conducting Standard Penetration Test (SPT) at regular depth intervals. Collecting split spoon samples or disturbed soil samples, Conducting relevant laboratory tests, Recommend a suitable foundation system, Safe bearing pressure at foundation in different level are provided. Grain size analyses are conducted for every levels of soil and Foundation design is arrived. Findings: This study reveal the alternate foundation design for the soft soil where the generally the costly pile foundation occupied. This study indicated result of Moisture Content, Sieve Analysis, Liquid limit, Plastic Limit and Plasticity Index and Differential Free Swell Test. Actual soil result showed lesser strength which leads to costlier foundation, by the alternate foundation methods this cost can be reduced considerably and the safe bearing capacity of 15 t/m2 could be recommended under the foundations at the depth 2 mts. For safest design it indicates the lowest size of footing or strip raft shall not be less than 1 m. Originality : The originality of study is focusing on foundation cost reduction and safer building design for the residential sector. In residential side, the focus is very much required because the investors are middle class people who mostly spent their earning on repayment of loan on entire life time for the amount spent on their dream residential building. Paper Type: Case Based Study
Project Management | Soil Testing and Pile Foundation Design | Standard Penetration Test | Foundation Consideration
Cyber Law and Social Media Regulation: Challenges and Opportunities in the Digital Era
Purpose: This paper investigates the intricate landscape of cyber law and social media regulation, focusing on the dual challenge of mitigating online harm while safeguarding freedom of expression in the digital age. Design/Methodology/Approach: Through a qualitative approach, encompassing case studies of existing regulations, interviews with legal experts, and surveys assessing public perceptions of social media governance, the research reveals a critical need for adaptable legal frameworks that respond to the rapid evolution of digital communication. Findings: Findings indicate a significant gap between current regulations and the nuanced realities of online interactions, highlighting the potential for enhanced legislative measures that prioritize both user safety and individual rights. Additionally, the study emphasizes the necessity for interdisciplinary collaboration among legal professionals, practitioners, and technologists to develop comprehensive policies that address the complexities of digital platforms. Originality/Value: The research contributes valuable insights to the ongoing discourse on cyber law, suggesting that informed and equitable regulation can serve as a foundation for promoting safe and constructive social media use. Paper Type: Theme Based Paper
Cyber Law | Social Media | Digital Platforms | Privacy | Rights
Sustainable Financial Analytics in Strategic Human Resource Management: A Study on Boosting Workforce Productivity and Profitability
Purpose: This research explores the integration of Sustainable Financial Analytics (SFA) into Strategic Human Resource Management (SHRM) to enhance workforce productivity and organizational profitability. The study examines the potential of SFA-driven HR practices in fostering sustainability while aligning financial and workforce strategies. Design/Methodology/Approach: A mixed-methods approach is employed, combining quantitative analysis of organizational data and qualitative insights from HR and finance professionals. Findings: Key findings reveal that SFA implementation improves workforce efficiency, cost management, and long-term profitability by enabling data-driven HR strategies. Originality/Value: The research provides insights into the strategic role of SFA in HR decision-making, offering recommendations for integrating SFA tools into HR processes to achieve sustainable growth. Paper Type: Theme Based Paper
Sustainable Financial Analytics | Strategic HRM | Workforce Productivity | Profitability | Data-Driven HR Strategies
Blockchain in Education: A Comprehensive Approach for Managing Academic Credit Transfer Systems
Purpose: Primarily this study is to explore the potential application of the blockchain as technology for managing the Academic Bank of Credit (ABC) system. It aims to identify the pros and cons involved with the implementation of blockchain technology to ensure secure, transparent, and efficient storage and transfer of academic records across multiple educational institutions. Design/Methodology/Approach: This research employs a qualitative review of existing literature and technological frameworks related to blockchain in education. It analyses various blockchain models, consensus mechanisms, and regulatory approaches to assess their suitability for ABC systems. The study synthesizes prior scholarly work, technological standards, and regulatory considerations to formulate comprehensive insights. Findings: The study finds that blockchain possesses significant potential to transform the ABC systems, by providing immutable security, fostering trust, and streamlining credit transfer processes. However, several barriers remain, notably issues related to scalability, consumption of high energy in public blockchains, privacy concerns with sensitive data, governance complexities, and lack of interoperability across institutions. Implementing permissioned blockchains, adopting energy-efficient consensus mechanisms, and establishing standard regulatory frameworks are identified as crucial steps to mitigate these challenges. Originality: This research offers an integrated analysis of blockchain’s capabilities and limitations specifically tailored for educational credit management systems. It contributes novel insights into combining technological advancements with regulatory frameworks to cater the distinguished challenges of using blockchain in education. The comprehensive overview serves as a strategic guide for policymakers, educational institutions, and technology developers aiming to leverage blockchain for secure, efficient academic record management. Paper Type: Theme Based Paper
Blockchain | Academic Bank of Credit (ABC) | Education | Data Privacy | Interoperability | Scalability | Security
An Empirical Study on Consumer Behaviour toward Herbal Toothpaste as an Oral Care Product Choice in Himachal Pradesh
Purpose: In this exploratory study, consumer perception of health culture is examined in relation to the niche market for herbal oral care products. To narrow down the purpose of the study, we have focused on ‘herbal toothpaste’ as the primary practice for maintaining oral hygiene. Toothpaste is termed as part of primary care, a tool for self-care interventions. In recent years, a great hike in the demand for herbal oral care products has been documented in the market. However, this study explored how different factors and variables influence people’s views about herbal toothpaste. Design/Methodology/Approach: The nature of the study is primary and adopted a quantitative, cross-sectional research design. The data was collected using a structured questionnaire administered to a sample of 331 respondents in Himachal Pradesh. The questionnaire was focused on various perception-related items that were specific to the perceived usages, functions, and potential risks associated with herbal toothpaste. The data were analysed using Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modelling (SEM) to identify the underlying structure and assess the relationship among variables and their factor constructs. Findings: The findings suggest that consumers are aware of the benefits associated with herbal toothpaste, but they ignore the segment of oral-care education and their expert advice. The study concludes that the valuable proposition of positivity and credibility with herbal names can be leveraged to enhance the herbal oral care market, but herbal brands must also address underlying risk perceptions to build greater confidence and informed usage. Paper Type: Empirical Research Paper
Herbal Toothpaste | Health | Perceived Benefits | Perceived Risks | Structure
Message from Resident Handling Editors (Student Category)
Theoretical Background of Factors Influencing Corporate Corruption: Review of Prominent Theories Explaining Corporate Corruption
Purpose: Corruption and deterioration of ethics in business is a persisting problem affecting consumers, businesses and regulators across industries and geographies. The ill effects of corruption are talked about very often in terms of financial losses and periodic market failures apart from loss of fair play in the market for all operating industries. Moreover, the headlines often ignore the factors that prompt actions to engage in corrupt practices by businesses and individual managers. Large number of factors have been attributed to different sources located within and outside the organization in a range of empirical research. Nevertheless, putting the causal explanation of the phenomenon in terms of plausible theoretical frameworks provides researchers and practicing managers a coherent frame of reference to put the causes of corporate corruption into perspective. This research attempts to provide a comprehensive review of a range of prominent theories explaining corporate corruption. It further delves deeply in the theoretical strands arguing in favour and against corruption in business. Design/Methodology/Approach: This research is essentially exploratory in nature. It prominently employs the secondary sources along with expert consultations from the prominent academics researching in this field. The stages in conducting the study involved extensive literature review followed by discussion with field experts on the strength of explanation provided by a theoretical framework and analysis of its empirical potential. The resultant discussion reflectively brings forth most prominent theories explaining corporate corruption. Findings: It reflects that theories across social science disciplines may be utilized to provide a good starting point as well as a credible frame of reference to put individual cases of corporate corruption into a comprehensible context and build a unified theory explaining causal factors behind the phenomenon of corporate corruption and address it through institutional measures. Originality Value: This research proposes that corruption in the corporate world is a persistent phenomenon which requires analytical explanation to address it holistically. It attempts to put forth theories of social science which may be utilized by management researchers to provide a causal explanation of corporate corruption. . Paper Type: Review of Literature
Corporate Corruption | Review of Literature | Agency Theory | Rational Choice Theory
Socio Political News Detection Using Enhanced Graph Neural Network
Purpose: In the age of data driven by social media, the proliferation of socio-political news has amplified the challenges of detecting misinformation, biases, and polarized news. Socio-political news detection process is essential for promoting knowledgeable decision-making among citizens, assessing public sentiment, influencing policy formulation, tracking crises, strengthening international relations, and maintaining public security. Design/Methodology/Approach: This paper introduces a hybrid model for detection of socio-political news by merging BERT model (Bidirectional Encoder Representations from Transformers) with Graph Neural Networks (GNN). The proposed model leverages the ability of BERT’s contextual embedding to capture semantic information form text and incorporates it with the structural insights of Graph Neural Networks to model the relational dependencies among news elements, such as headlines, article and entities. RSS feeds are collected to estimate the proposed model’s performance. Findings: It demonstrated superior performance in terms of accuracy, precision and recall compared to traditional machine learning methods and independent deep learning models. Originality/Value: The proposed socio-political news detection approach offers a robust solution by incorporating various models. It provides researchers to manage and perform analytical task of socio-political news. Paper Type: View Point
Graph Neural Network | Contextual Embedding | RSS Feeds | Political News
Open Universities and Metaverse-Based Virtual Education: Transforming the Future of Learning
Purpose: This study explores the integration of metaverse-based virtual education into open universities, evaluating its potential to enhance learning experiences, foster global accessibility, and address the limitations of traditional online education. Research Design/Methodology/Approach: The study employs a qualitative research approach, including a comprehensive review of existing literature and case studies on metaverse applications in education. It analyses how immersive technologies— such as virtual reality (VR), augmented reality (AR), and mixed reality (MR)—are transforming open university education. Findings: The findings suggest that metaverse-driven learning environments significantly improve student engagement, collaboration, and experiential learning. The research highlights the metaverse’s potential to create interactive and inclusive virtual campuses, reducing barriers to education. However, challenges such as technological constraints, privacy concerns, and the need for pedagogical adaptation must be addressed for effective implementation. Originality/Value: This paper contributes to the evolving discourse on digital education by presenting a novel perspective on the role of the metaverse in open universities. It provides insights into how immersive learning can bridge educational gaps, offering a roadmap for future research and policy development in metaverse-based virtual education. Paper Type: View Point
Open Universities | Metaverse | Virtual Education | Immersive Learning | Technology in Education Educational Equity | Virtual Reality | Augmented Reality
Designing for Uptime: A Framework for High Availability Systems
Purpose: The purpose of this study is to propose a comprehensive framework for designing high availability (HA) systems that meet diverse operational demands. By focusing on Non-Functional Requirements (NFRs) as foundational elements, this research addresses how HA can be achieved while balancing scalability, reliability, and performance. The framework is aimed at assisting system architects in navigating the complexities of designing resilient, enterprise-grade systems capable of meeting modern uptime requirements, from three nines (99.9%) to six nines (99.9999%). Design/Methodology/Approach: This study employs a mixed-method approach combining theoretical modelling, case analysis, and scenario-based evaluations. The methodology includes fault tree analysis, reliability block diagrams, and simulation testing to model and validate the impact of NFRs on system performance and availability. Insights from real-world implementations of HA systems are incorporated to contextualize the proposed framework. Tools and techniques like distributed systems, global load balancing, and multi-region orchestration are critically assessed. Findings: The research identifies key methodologies and technologies for achieving high availability across system tiers, including the UI, application, database, and integration tiers. It highlights the critical interplay between HA and other software quality attributes such as security, maintainability, and performance. Findings suggest that incorporating advanced orchestration techniques and predictive monitoring significantly enhances the reliability and scalability of HA systems. The study also underscores the importance of iterative feedback and real-world testing in aligning system design with operational goals. Originality Value: This paper contributes to the field by providing a structured High Availability System Design Matrix that aligns NFRs with availability KPIs and specific architectural solutions. By addressing the practical challenges of designing highly available systems, the study bridges the gap between theoretical NFR modeling and real-world system design. Its insights into cost-performance trade-offs and the integration of HA with scalability provide valuable guidance for enterprises and system architects. Paper Type: Case Based Study
Non-Functional Requirements | Highly Available Systems | Software Attributes | Key Performance Indicators
Case Study: Mankind Pharma’s Acquisition of Bharat Serum Vaccines
Purpose: This case study investigates Mankind Pharma’s acquisition of Bharat Serum Vaccines (BSV), aiming to understand the strategic motivations, financial implications, and operational synergies involved in this significant merger within the pharmaceutical sector. Design/Methodology/Approach: The study employs a qualitative approach, analyzing financial data, market trends, and competitive positioning to assess the acquisition’s potential impact. It synthesizes insights from industry reports and financial projections to provide a comprehensive evaluation of the deal’s implications for Mankind Pharma. Findings: The acquisition is poised to enhance Mankind’s product offerings and R&D capabilities, particularly in women’s health and fertility treatments. Financial projections suggest that BSV will contribute significantly to Mankind’s EBITDA growth, with an expected sales CAGR of 20% over the next few years. The deal is anticipated to be EPS-accretive from the second year post-acquisition, reflecting a favorable valuation based on BSV’s growth potential. Originality/Value: This case study contributes to the understanding of strategic acquisitions in the pharmaceutical industry, particularly within emerging markets. It provides valuable insights into how Mankind Pharma can leverage BSV’s established market presence and innovative product pipeline to drive sustainable growth. Paper Type: Case Based Study
Pharmaceutical Acquisition | Mergers & Acquisitions | Vaccine Market Expansion | Strategic Business Growth
Quality Assurance Management Design Approach for Construction Project Management Special reference to Soil Testing works
Purpose: This study proposes the theoretical aspects of Quality Assurance Management System Design of construction and Infrastructure companies. It suggests cutting edge strategies and tools for better quality control and for stringent system controlling in construction project management. Design / Methodology / Approach: This paper used PDCA Approach quality system design for Construction Company. It plans for gauging control in the entire life cycle of construction project management activities viz pre-construction planning, soil testing, design of architectural and structural, site construction activities , quality control of construction process, auditing and post construction. The documentation system with three tier architecture for construction and infrastructure is prescribed for better quality control. Findings: This study suggests the steps of Quality Management System designing, system development, internal auditing by the in-house trained auditors and details of certification agencies to get the certificate like ISO 9000 Quality Management System / Green Building Certificate / Reliability Certificate. The study positions the hierarchical positioning of three tier documentation like Vision/ Mission/ Objective of top level documentation , procedures \ manuals of middle level documentation , and work instruction / guidelines of lower level documentation. Originality: The originality of study is focusing on enhancing the system for assuring the quality of infrastructures like roads, bridges, flyovers etc. It mainly focuses on the residential / house building, because here a lot of problems are happening due to non-streamlined workforce employed. If a good system and quality is maintained in residential house building, the value of assets will be very much appreciated. Paper Type: Theme Based Paper
Quality Assurance | Quality Management System | ISO 9001 | Soil Testing and Documentation
Generative AI in Social Media Marketing: An Evaluation of Adobe Firefly
Purpose: In today’s technological environment, generative artificial intelligence (AI) is advancing at a faster pace and is increasingly being adopted across various business processes, particularly in social media marketing. Adobe Firefly, Adobe’s generative AI solution, is promoted as capable of generating high quality images and also improving the existing ones, simply based on the clearly defined text-based user prompts. The current research article evaluates the generative capabilities of Adobe Firefly and its application in social media marketing strategies. It also evaluates how Adobe Firefly bridges the gap between imagination and output through experimentation, discusses advantages and limitations of this generative AI solution, specifically concerning the copyright issues associated with image generation. Design/Methodology/Approach: The study adopts a qualitative approach through mixed methods, including desk research methodology and experimentation, collecting data from existing literature and official sources, including Adobe Firefly’s official websites and blogs, and other relevant and reliable sources of information, such as Harvard Business Review and MIT Technology Review. Findings: The images generated by Adobe Firefly based on text prompts are impressive but struggle significantly with text clarity, often resulting in distorted angles, particularly in generated images of laptops for ad purposes. While the vibrant backgrounds are suitable for social media marketing, the difficulty in producing clear text can hinder marketers, as contact details are essential for driving sales. Currently, Firefly can be effectively used for generating product images and appealing backgrounds, but the output will require editing for final enhancements before posting on social media. Originality: This paper uniquely evaluates Adobe Firefly’s generative AI capabilities in social media marketing, addressing both its transformative potential and the associated challenges. Paper Type: Theme Based Paper
Generative AI | Social Media Marketing | Adobe Firefly | Desk Research | Marketing Best Practices
Measuring problems & challenges in the implementation of Blended learning Instruction: Construction and Validation of an Instrument for Students
Purpose: The present paper aims on the development of an instrument that can measure the problems and challenges of students of higher education when studying through blended learning. Design/Methodology/Approach: This paper describes the process of the construction and validation of a psychometric instrument to identify and measure the problems and challenges of students from higher education institutions of India. A five-point Likert scale was developed, after a comprehensive review and analysis of the available literature. Findings: The final scale consisted of 12 items, which were administered on a representative sample of 211 students from higher education, further to validate it an exploratory factor analysis and Monte Carlo PCA were performed. The present questionnaire was finalized to be consisted three dimensions (dimension 1=5 items, dimension 2= 4 items, and dimension 3= 3 items) has been found valid and reliable to study the students’ problems & challenges in blended learning. Originality/Value: The finalized scale would be significant to identify the major problems & challenges in the implementation of blended learning instruction which would be significant to manage and enhance the blended learning process in Indian context. Paper Type: Empirical Research Paper
Analysis of Service Quality of Selected Fine Dining Restaurants in Delhi
Purpose: The main purpose of the present study is to find out how different aspects of service quality in relation to the three selected dine restaurants customer’s perception and to assess overall performance (i.e. Pind Baluchi, Barbeque Nation and Sagar Ratna) Design/Methodology/Approach: A self-administrated survey was given to 150 customers of the three fine dining places (i.e. Pind Baluchi, Barbeque Nation and Sagar Ratna) using a convenience sampling approach. To ensure objectivity and reliability, a diverse set of customers were surveyed. In this study, the assessment technique was a percentage methodology, to assess the study objectives. Findings: The outcome of the study shows that younger, predominantly female customers in Delhi prefer Barbeque Nation for dinner, prioritize price and hygiene, and are generally satisfied with their dining experiences. Originality/Value: This study can add value in several key ways. It can provide actionable recommendations. This helps restaurants refine their operations, leading to improved customer satisfaction and loyalty. Academic researchers, industry professionals, and policymakers can gain a deeper understanding of the unique challenges and opportunities in the fine dining sector. This knowledge can inform further research, training programs, and best practices. Overall, the study aims to create a comprehensive understanding of service quality dynamics in fine dining, benefitting both practitioners and academics. Paper Type: Empirical Research Paper
Dining | Restaurant | Service Quality | Customer Experience
A Bibliometric Analysis of the Usage of ‘Meta-UTAUT’: An Emerging IS/IT Acceptance Theory
Purpose: The aim of the study is to understand and explore the bibliometric characteristics of the emerging technology acceptance theory “Meta-UTAUT”. Design/Methodology/Approach: This study has utilized Bibliometrics approach. Using the international database Scopus, articles were retrieved on “Meta-UTAUT” which were published between 2019 (its inception) and 2024. A total of 23 papers were found in the Scopus and these were used for analysis. Key concepts, such as years, countries, subject areas, authors and paper citations were analysed using MS-Excel and VOSviewer. Findings: Out of all the papers, most have been published in the year 2022 and in the countries of UK & India. Very few authors have been repeatedly contributing to “Meta-UTAUT” research and one paper has shown significant citations as compared to other papers. Computer Sciences and Business, Management and Accounting have come at the top in the subject areas. This study shows that the “Meta-UTAUT” is an important theory that is being used very scarcely. So, researchers can fill this theoretical gap in their subsequent research initiatives. Originality: As per researcher’s knowledge, no study has tried to understand how “Meta-UTAUT” research is evolving since its inception. So, the study has tried to fill that gap as “Meta-UTAUT” presents a very interesting improvement in previous technology acceptance theories. Paper Type: Research Thought
Technology | Acceptance | Meta-UTAUT | Bibliometrics | Citations
Global Adoption and Impact of Over-the-Top Streaming Services: A Literature Review
Purpose: Over the top (OTT) is an online content live streaming service that offers different types of media contents, such as movies and broadcasting programs through the internet, and enables users to watch content through various digital devices such as TV, smartphones, tablets, and PC. with one account beyond the set-top boxes connected to TV. It has totally transformed the way of content consumption around the globe. The present study performed a literature review on OTT live streaming services. Design/Methodology/Approach: The investigation utilised secondary data to explore the present study, investigate the trends, explore the adoption of over-the-top live streaming services at the global level, and impact of emergence of over-the-top platforms on traditional media. The Scopus database was used to locate the data. Findings: The study result indicates that perceived ease of use, perceived usefulness, attitude, facilitating conditions, content specific, native select, and volume for money are the most essential factors leading users to adopt live streaming services. The emergence of OTT services lead to a fall in the number of cable TV subscribers and decrease in the number of small companies offering the service. Many studies on OTT platforms conducted in developed countries specially in Korea and South Korea, Taiwan, China, USA and UK. Also, the primary theories utilized in the context of OTT live streaming services are technology acceptance theory, and uses and gratifications theory. The extensive literature also revealed the necessity to conduct studies on OTT live streaming services context. Originality/Value: The study investigates the trends, explores the adoption of over-the-top live streaming services at global level and impact of emergence of over-the-top platforms on traditional media apart from substantial contribution to the existing knowledge on OTT services context by performing extensive and in-depth literature review. Also, review of literature provides directions for further research. Paper Type: Review of Literature
Adoption | OTT Streaming Services | Millennial | Cable TV Services
Robo-Advisors: Automated Algorithm-Driven Wealth Management Services - A Literature Review
Purpose: Robo-advisors have transformed personal finance management by offering automated, algorithm-driven financial advice to retail investors. Advances in technology and AI have made these services increasingly popular. This study reviews the literature on the adoption and impact of robo-advisory services, exploring how they influence investor behavior. Design/Methodology/Approach: This study analyzes the adoption of robo-advisors from 2008 to 2024 by examining secondary data gathered mainly from Google Scholar, along with a selection of papers from Scopus. The focus is on uncovering the key factors that influence investor preferences and evaluating the effectiveness of these automated investment platforms. Findings: Several factors influence robo-advisory performance, including asset allocation, portfolio management, and rebalancing strategies. Adoption is driven by demographics such as millennials, financial literacy, and trust in technology. Investors with lower risk tolerance and shorter investment horizons, particularly women and older individuals, favor sustainable investments. While AI enhances service personalization, regulatory frameworks remain inadequate, especially regarding risk management. In India, robo-advisors attract younger, male investors, with increased platform use during market volatility. Sustainable and ethical investing is gaining popularity among younger, cost-conscious users. Future research should address regulatory issues, explainable AI (XAI), and anti-money laundering measures in robo-advisory services. Originality: This study contributes to the literature on robo-advisory by analyzing adoption factors, performance metrics, and investor preferences. It highlights key gaps in current research, especially in regulatory and technological areas, offering a roadmap for future studies. Paper Type: Review of Literature
Robo-advisory | Fintech | Automated investment | Investor preferences | Portfolio management | Adoption factors Artificial intelligence | Indian investors