Browsing by Autor "Dr. R. Arun Prasad"

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Bridging Innovation and Trust: A Mediated Model of FinTech Startup Success in Emerging Economies
(2025) Dr. K. R. Ramprakash; Dr. R. Arun Prasad; Prof. Kishore Kunal; Dr. C. Joe Arun
Purpose: This study investigates the determinants of success for FinTech startups in emerging economies, emphasizing the mediating role of innovation capability (IC) in transforming technology adoption, security, and customer trust into sustainable performance.Design/methodology/approach: Using a quantitative design, the study collected responses from 287 FinTech startups across India through a structured questionnaire. Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied to assess the direct and mediated effects among key constructsFindings: The results confirm that technology adoption, security, and transparency significantly enhance customer trust, which in turn drives startup success. Crucially, innovation capability mediates these relationships—strengthening the pathways from technology, trust, and security to performance. The structural model shows strong explanatory power (R² > 0.40) and robust model fit (SRMR < 0.08).Practical implications: The findings offer actionable insights for founders and investors: investing in innovation capability enhances the value of foundational trust and technological infrastructure. Policy support for innovation-driven FinTech ecosystems can accelerate success in emerging markets.Originality/value: This study contributes a novel mediated model linking technological and relational enablers to FinTech success, with innovation capability as the central mechanism. It enriches FinTech and startup literature by clarifying how innovation bridges trust and technology in volatile, high-growth environments.
Building AI Capability for Organizational Innovation: The Mediating Role of Knowledge Sharing
(2025) Shyni Carmel Mary; Dr. R. Arun Prasad; Prof. Kishore Kunal; Dr. C. Joe Arun
With the increased trend in digital transformation, efforts are now being strategically invested in the use of artificial intelligence (AI) and being explored by businesses that should promote the experience of innovation and the survival of enterprises over the long run. In the given research plan, we respond to the way the rise of the capability of AI is related to the knowledge-sharing activity, with a sophisticated consideration of the mediator of knowledge-sharing activity, that is, the nature of the innovation potential of an organization. Based on the theory of the Knowledge-Based View (KBV), the work proposes and empirically validates a model that interconnects the manifestations of AI training programs, the drivers of knowledge-sharing, and the resultant innovation. Survey data of 312 professionals working in technology-led organizations was analyzed by means of Partial Least Squares Structural Equation Modeling (PLS-SEM). The results also indicated that the development of the competency in AI will have a positive impact on the knowledge sharing and on the innovative performance, which will be further enhanced. It has also been understood that the outcome of knowledge sharing has a moderate mediating impact on the correlation between the building of this AI capability and innovation, which in turn means that it demonstrates a huge impact in the process of transformation of technical expertise to the innovation outcome, as each of these two is concerned. Such an addition to the field of knowledge about the AI-based skill formation and organization learning processes determines how the operations of the knowledge-sharing initiatives can be utilized to combine the power of AI to enable innovation. The given insights may be regarded as useful advice to the leaders and policy-makers who may be interested in improving innovations by adding a certain set of AI training and knowledge management procedures.
Digital Engagement and Customer Loyalty in Retail: The Mediating Role of Perceived Service Quality
(2025) Dr. R. Arun Prasad; Dr. K. R. Ramprakash; Prof. Kishore Kunal; Dr. C. Joe Arun
Purpose: In this study, the mediating role of perceived service quality (PSQ) in the relationship between digital engagement (DE) and customer loyalty (CL) in retail commerce is assessed, particularly in the context of omnichannel shopping settings. Design/methodology/approach: Using data from 350 Indian retail customers who shop both online and offline, this research uses Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the interconnections among DE, PSQ, and CL. Findings: Digital engagement positively influences perceived service quality in a significant manner (β = 0.633, p < 0.001) and customer loyalty (β = 0.453, p < 0.001). Perceived service quality further has a beneficial effect on customer loyalty (β = 0.467, p < 0.001). Mediation assessment verifies that PSQ partly bridges the interconnection between DE and CL (β = 0.295, p < 0.001), accounting for a 69.1% variance in customer loyalty (R² = 0.691). Implications: Retailers should focus on providing uniform and superior service encounters across digital and physical platforms to enhance customer loyalty. Investments in digital tools must be complemented by improvements in service responsiveness, reliability, and personalization. Originality/value: This study bridges traditional service quality models with digital retail strategies, providing theoretical and practical insights into how digital engagement and perceived service quality collectively shape customer loyalty in today’s omnichannel retail landscape.