Dr Sujata Joshi is Professor of Marketing and Strategy with an experience of 26 plus years. Currently working with Symbiosis Institute of Digital & Telecom Management, Symbiosis International (Deemed University), her research areas include Consumer-Behaviour, Branding, Customer-Engagement, Customer-Experience, Strategy.
She has published many papers in national and international journals in these areas and also won the best paper awards for several papers presented in international conferences. She was awarded the Winner of Emerald Literati Award 2019 for Highly Recommended Paper published in Information Technology & People Journal (ABDC “A” listed).
She has undertaken marketing related consulting assignments in the areas of Customer experience, VAS, Retailer Loyalty, and B2B sales for telecom companies. Currently she is doing an assignment on Customer engagement with an organization in the consulting domain and another assignment with an IT company in the area of Customer Experience
EDUCATION
Phd, SET, MBA, Mcom, Bcom
RESEARCH INTERESTS
Consumer behaviour, Customer experience, Customer engagement, Applications of technology in marketing, Branding, Strategy
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Scopus Publications
Scopus Publications
A review of cybersecurity in smart cities and intelligent transport systems Sujata Joshi, Akshay Baviskar, Sarvesh Rajmane Discover Internet of Things, 2026 The increasing uptake of digital technologies in smart cities and intelligent transport systems (ITS), has increased associated cybersecurity concerns, with cyber threats on critical infrastructure, public safety, and data privacy. This bibliometric analysis studies cybersecurity research in smart cities and ITS over the last ten years (2015–2025) through 170 relevant documents retrieved from Scopus database. It focusses on research themes that include cybersecurity risk management, AI-driven threat detection, IoT security in urban environments, policy and governance frameworks, and resilience strategies against cyber threats. The use of blockchain technology in a decentralized way for maintaining data integrity, secure communication, and transparent transaction validation among smart city networks has particularly become a major concern. A pattern of trend of publication suggests an increase in research on cybersecurity issues after 2020 with greater interdisciplinary collaborations, data encryption, real-time anomaly detection, and regulatory compliance. Research studies continue to highlight persistent challenges in IoT device vulnerabilities and the lack of a standardized security protocol for securing large-scale urban networks. The results also tend towards AI-enhanced security models, blockchain-based authentication mechanisms, and policy-driven cybersecurity frameworks. Future research directions include quantum-resistant cryptographic solutions, AI-driven predictive security models, and cross-sector regulatory initiatives that can enhance cybersecurity resilience in smart urban infrastructures.
Trends in digital transformation (DT) of higher education institutes (HEI): bibliometric and systematic review of 13 years Sujata Joshi, Anugamini Priya Srivastava, Sandeep Prabhu, Pankaj Pathak, Abhijit Chirputkar, Samaya Pillai Journal of Applied Research in Higher Education, 2025 PurposeThe objective of this paper is to investigate the digital transformation (DT) trends in higher education institutes (HEI) (from 2010 to 2023) and examine the role of upcoming technologies in the HEI and their impact on user experience and social inclusiveness.Design/methodology/approachThe middle-range research method is adopted, wherein the Scopus database is used for publication searches. The bibliometric analysis is done on a dataset of 408 articles to determine research trends in DT, top-cited articles, top journals, key authors, country-wise contribution, keyword analysis, bibliographic coupling and co-occurrence analysis. Additionally, content analysis was done on 51 articles that were finally selected to identify the upcoming DT themes in HEI.FindingsThree key themes emerged from the analysis: digital technologies (for teaching, learning, assessment and administration), user experience and social inclusiveness, based on which we propose a conceptual model for DT in HEI.Originality/valueThis study contributes to the ongoing studies in the following way: (1) it proposes a conceptual model for DT in HEI. (2) It provides an understanding of the impact of DT on user experience and social inclusiveness in the context of HEI. (3) It paves the way for future research by providing future research themes, future research directions and future research questions, providing a groundwork for upcoming investigations which will help researchers develop this area further.
Securing 5G Networks by Mitigating Cybersecurity Risks for Transformative Applications Menachem Domb, Balaji C. G., Menaka S., Gayathri A., Sujata Joshi International Journal of Interactive Mobile Technologies, 2025 The increasing adoption of 5th generation (5G) networks introduces significant cybersecurity challenges due to the expansion of the attack surface, driven by network slicing, edge computing, and a massive number of connected devices. These challenges demand robust access control mechanisms to mitigate potential risks while maintaining network efficiency. This study presents the Secure 5G Access Control (S5GAC) protocol, a comprehensive security framework designed to enhance user and device authentication through multi-factor authentication (MFA), contextual access control, and continuous monitoring. Unlike existing security models, S5GAC incorporates dynamic risk assessment, leveraging network traffic anomalies, user activity deviations, and device behavior irregularities to enforce adaptive access control measures. Comparative analysis demonstrates that S5GAC achieves a significant reduction in data exfiltration risks, substantial mitigation of cross-slice breaches, and notable improvement in threat detection, all while imposing only a minor latency overhead and a slight throughput reduction. Additionally, the MFA implementation in S5GAC achieves a high authentication success rate, reinforcing its effectiveness in securing high-density 5G environments. Future research will focus on AI-driven threat detection, federated learning-based security, and blockchainintegrated identity management to enhance scalability and resilience in ultra-dense 5G deployments. The proposed S5GAC protocol serves as a future-ready security solution, ensuring robust protection against cyber threats while maintaining optimal network performance.
Harnessing the potential of generative AI in digital marketing using the Behavioral Reasoning Theory approach Sujata Joshi, Sonali Bhattacharya, Pankaj Pathak, N.A. Natraj, Juhi Saini, Soumya Goswami International Journal of Information Management Data Insights, 2025 • This is a thematic analysis of interviews of digital marketing experts from India. • Behavioral Reasoning Theory is used to conceptualize the proposed model. • Article highlights the drivers and challenges of GAI adoption in DM. • Drivers: creative content, speed, efficiency, customization, predictive analytics. • Challenges: IP infringement, data quality, security, data quality, reduced manpower. Generative AI (GAI) is an upcoming field and its impact on marketing is indisputable. Very little evidence in academic literature is present regarding the factors affecting the usage of GAI in Digital Marketing (DM). This study addresses this gap by exploring the key drivers and barriers associated with using GAI in DM. Leveraging Behavioral Reasoning Theory (BRT), the research validates prior findings and introduces a conceptual model outlining factors that shape attitudes toward adopting GAI in DM to enhance customer experiences. A qualitative inductive approach was undertaken by conducting expert interviews to investigate the “reasons for” and ‘reasons against’ using GAI in DM and its impact on customer experience. The transcripts generated were manually coded and a deductive thematic analysis was done using the BRT as the theoretical framework. The findings indicate four significant themes for adopting GAI in digital marketing viz: innovation, creative communication and content creation, speed, efficiency and timesaving, enhanced customization and personalization; predictive analytics and simulation. It also indicates five significant themes related to the key barriers were also identified viz: ethics and infringement of Intellectual Property; security and deepfake; learning ecosystem for the adoption of new technology; quality of data; reduced manpower requirement. The study further highlights how GAI influences customer experience in DM. This study contributes to the field by (a) proposing a conceptual framework for applying GAI in DM to improve customer experiences, (b) examining the drivers and challenges of GAI adoption in DM, and (c) presenting a research agenda to guide future studies. These insights offer value to researchers, marketing practitioners, and academics navigating the dynamic intersection of GAI and Digital Marketing
The role of perceived trust and technology anxiety in intention to use technology tools in HEI: applying the modified UTAUT from user behavior context Sujata Joshi, Kshitija Pandey, Dhaval Maheta Cogent Education, 2025 This paper analyzes the determinants of intention to use Generative Artificial Intelligence (GenAI) tools in higher education institutions (HEI). The model, based on the Unified Theory of Acceptance and Use of Technology (UTAUT), introduces two new constructs– perceived trust and technology anxiety– to offer a more comprehensive insight into adoption behavior in undergraduate and postgraduate students. The survey was done on a non-probability convenience basis by using a structured survey. Out of the 300 questionnaires circulated, 175 valid responses were analyzed based on partial least squares structural equation modeling (PLS-SEM). The outcomes have shown that perceived trust and technology anxiety have a significant impact on behavioral intention among students to embrace GenAI tools and technology anxiety mediates the effect of the independent variables on behavioral intention. Such outcomes lead to the enrichment of technology adoption models by putting an emphasis on the psychological aspects of trust and anxiety. In practice, they can be applied to a higher education stakeholder to provide actionable lessons that allow the development of strategies that encourage responsible integration, mitigate resistance, and prioritize the acceptance of GenAI tools into an academic setting.
Indian Tourism Industry and COVID-19: A Sustainable Recovery Framework in a Post-Pandemic Era Kshitija Pandey, Kala Mahadevan, Sujata Joshi Vision, 2024 The COVID-19 outbreak has impacted the global business environment and has resulted in significantly challenging multiple industries across the business spectrum. One of the industries facing severe adverse consequences is the travel and tourism industry. This study aims to assess and assimilate the overall impact posed by this pandemic to the Indian tourism industry and propose a sustainable recovery framework that would provide a guideline to all the Indian tourism industry stakeholders to forge the way forward in the post-pandemic era. The study adopts a narrative literature review-based approach to arrive at a sustainable recovery framework based on the analysis and evaluation of the literature on the proposed topic. The study finds that the Indian tourism industry has been significantly impacted by the ongoing pandemic and has altered the functioning of all the stakeholders in the industry.
Mobile money: Concept, ecosystem, benefits and challenges associated with mobile money International Journal of Applied Business and Economic Research, 2017
Bacemto framework: Measuring customer experience management activities of telecom operators International Journal of Applied Business and Economic Research, 2016
Impact of customer-experience on customer behavior for cellular services with reference to Indian telecommunication industry International Journal of Applied Business and Economic Research, 2016
Challenges and opportunities in mobile money and payment services for Indian business environment International Journal of Applied Engineering Research, 2015