S. Vijayakumar Bharathi

Symbiosis International University

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Dhanya Pramod

Symbiosis International University

Kanchan Patil

Symbiosis International University

Ramakrishnan Raman

Symbiosis International University

Shaji Joseph

Symbiosis International University

Arif Perdana

Australian Regenerative Medicine Institute

Apoorva Vikrant Kulkarni

Symbiosis International University

Muazzam Khan

Symbiosis International University

Mugdha Shailendra Kulkarni

Symbiosis International University

Shrikant Parikh

Institute of Technology Management

Mandaar B. Pande

Symbiosis International University

Cooperative Institutions

Symbiosis International University

IMS Unison University

Universidad de Alcalá

Ragas Dental College & Hospital

All India Institute of Medical Sciences

SRM Institute of Science and Technology

Vellore Institute of Technology University

Government Dental College and Hospital

Saveetha University

Anna University, Chennai

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IT governance framework for implementing e-learning at Indian Universities in the context of Indian national education policy

AIP conference proceedings (2024)

Dhanya Pramod S. Vijayakumar Bharathi Ramakrishnan Raman

The Indian government has proposed a national education policy designed by an eminent panel of experts, with the audacious goal of transforming the Indian education system. The policy plans to bring significant changes in the teaching-learning process from the school level to the university level. This paper studies the current information technology infrastructure that is available in Indian Universities for enabling e-learning. The data relating to IT infrastructure to facilitate e-learning was collected from 252 Universities across India. This was used to understand the present scenario of e-learning in the higher education context. An IT governance framework has been proposed which can effectively facilitate e-learning in alignment with the goals of the Indian National Education Policy.

10.1063/5.0205291

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Can Metaverse Retail lead to purchase intentions among the youth? A Stimulus-Organism-Response theory perspective

Kanchan Patil S. Vijayakumar Bharathi Dhanya Pramod

This study investigated the intention of youngsters to experiment with metaverse during their shopping experience. The study combined the Uses and Gratification Theory and Stimulus-Organism-Response theory to develop the conceptual model. The model was validated through an empirical study involving youngsters (N=270). The results show that the retail experience and metaverse application characteristics significantly impacted the organism components of hedonic and social gratification. However, features of retail experience characteristics and metaverse applications did not impact utilitarian gratification. Hedonic and social gratification significantly impacted the youngsters' intention to experiment metaverse during their shopping experience. Utilitarian gratification did not impact their shopping intentions, enabled through the metaverse experience. The study elucidates the implications for theory and retail practice benefiting consumers, metaverse retail app designers and influences retailers' marketing strategy.

Gratification

Metaverse

Social worlds

10.1109/icetsis55481.2022.9888929

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A FPN Based Risk Assessment Model for ERP Implementation in Small and Medium Enterprises

SSRN Electronic Journal (2014)

S. Vijayakumar Bharathi Ramakrishnan Raman Dhanya Pramod

This research brings out a risk assessment model by selecting certain critical pitfalls related to the implementation phase of Enterprise Resource Planning (ERP) in Small and Medium Enterprises (SMEs). The model can be used to predict the impact of risk that will lead to the failure of ERP implementation. This paper is a part of the continuing research in assessing the ERP decisions for SMEs which involved five phases namely planning, acquisition, implementation, usage & percolation and extension. SMEs are subject to ERP implementation risks. These risks have been identified based on extensively referring to earlier research and the associated components for preparing the assessment model are defined. Formulation of rules for risk assessment is based on the concept and application of Fuzzy Petri Nets (FPN). Then the model is developed as a tool using the visual basic application. This paper attempts to use FPN due to the simple and efficient ability to quantitatively evaluate the risks inherent in the implementation phase of ERP adoption by SMEs.

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Understanding the Locus of Control of Management Students

International Journal of Learning and Intellectual Capital (2017)

Shaji Joseph S. Vijayakumar Bharathi

This research examines the impact of locus of control in the academic life of management students. A customised locus of control inventory is proposed which was administered to a sample of 170 management students in India. Using exploratory factor analysis, seven components were identified as influencers of locus of control throughout the academic life of a management student namely destiny, academic performance, introversion, attribution effect, luck, self-efficacy and self-confidence. Moreover, the study finds that the predominant locus of control is external except in case of self-efficacy and self-confidence. The outcome of the research also suggested technology, participant-centred pedagogy and mentoring as the key constructs for future research work in locus of control.

Locus of control

Exploratory research

Luck

10.1504/ijlic.2017.10006261

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A Study on Mobile Phone Buying Behavior Using an Image-Based Survey

SSRN Electronic Journal (2014)

Muazzam Khan Apoorva Vikrant Kulkarni S. Vijayakumar Bharathi

Mobile phone

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Examining the intention to adopt Blockchain in the Banking Industry by combining Task-Technology-Fit and Technology Acceptance Theory

Kanchan Patil Dhanya Pramod S. Vijayakumar Bharathi

This study examines factors that impact managerial intention to adopt blockchain technology in the banking domain. This study extends the Task-technology fit model (TTF) and develops a Fit-based technology adoption model (TAM) through empirical research involving managers (N=249) from public and private sector banks. The study's basic premise is that banks are interested in evaluating their task fit with blockchain technology. Drawing from the synergies of the TTF and TAM theories, we test the research model through structural equation modeling to assess managers' adoption intention for blockchain technology. Our findings show that technology and task characteristics significantly impact TTF. TTF was found insignificant to the managers' perceived ease of use but significant with perceived usefulness. Perceived usefulness significantly impacted the managers' behavioural intentions to adopt blockchain in banking, while perceived ease of use did not impact behavioural intentions. This study extended TAM through TTF and social influence, thereby having a theoretical contribution. This study will guide policymakers and bank managers to develop and design blockchain-based banking operations.

Technology Acceptance Model

Banking industry

Empirical Research

10.1109/icetsis55481.2022.9888946

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Challenges and strategies in e-learning adoption in emerging economies: a scoping review

Cogent Education (2024)

Siddiqullah Barikzai S. Vijayakumar Bharathi Arif Perdana

10.1080/2331186x.2024.2400415

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Bayesian Network Based Bug-fix Effort Prediction Model

Communications in computer and information science (2012)

S. Vijayakumar Bharathi Udaya Shastry Joseph Raj

10.1007/978-3-642-30439-2_21

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Prioritising and ranking critical factors for sustainable cloud ERP adoption in SMEs

International Journal of Automation and Logistics (2015)

S. Vijayakumar Bharathi Tanuja Mandal

The cloud ERP enables the SMEs to join the race of the largest competitive organisations to achieve and sustain competitive growth. There are several factors which play an important role in the decision making of the SMEs, whether to go for ERP as a service or not. This study brings out the ranking and prioritising of critical factors which will help the ERP service providers to better understand the expectations of the SME clients. This exploratory research was conducted on a selected set of consultants, implementing partners and SMEs of ERP. Analytic hierarchy process (AHP) was used to prioritise and rank the critical factors to be considered for adopting cloud ERP. A set of 17 critical factors was initially categorised on the basis of cost, security, organisational factors, performance and functionality of ERP. The study found that amongst others, cost related factors like subscription fees, maintenance cost and implementation cost featured in the top five ranking critical factors. Other significant factors included SLA conditions, BCP and DR, IT resources cost, data confidentiality. The outcome of this research provides an authentic reference to the stakeholders while planning and executing sustainable information system adoption like cloud ERP.

Exploratory research

10.1504/ijal.2015.071723

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Citations (18)

Detecting Bugs in Software using Supervised Machine Learning Approaches

International Journal for Research in Applied Science and Engineering Technology (2023)

S. Vijayakumar Bharathi K. Bala Krishna N. Srinivas

Abstract: Software Flaw Projection (SFP) is an important issue in software development and maintenance process. Software flaws can cause significant problems for software development teams. So, projecting the software faults in earlier phase improves the software quality, reliability, efficiency and reduces the software cost. However, developing robust flaw projection model is a challenging task and many techniques have been proposed. Projecting the likelihood of flaws occurring in software can help developers prevent or mitigate their impact. This paper presents a software flaw projection model based on Machine Learning (ML) algorithms. Supervised ML algorithms have been used to predict future software faults based on historical data. The evaluation process proved that ML algorithms can be used effectively with high accuracy rate. Furthermore, a comparison measure is applied to compare the proposed prediction model with other approaches. The collected results showed that the ML approach has a better performance

Software metric

Software sizing

10.22214/ijraset.2023.54487

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