Symbiosis Centre for Information Technology
Finance and Accounting
Mugdha Kulkarni, Juhi Tikyani, and Krishna Kumar Singh Springer Nature Singapore
Mugdha Kulkarni, Arnab Mondal, and Krishna Kumar Singh Springer Nature Singapore
Kanchan Patil and Mugdha Kulkarni IEEE
This research empirically studies the perceptions of users/patients and medical practitioners towards adopting AI-based mobile healthcare chatbot services. The study presents a unified consumer behavioural model of Chatbot adoption having user-related psychosocial, technological, health factors and Trust by taking the theoretical base of Extended TAM, the propensity to trust technology and health, belief model. The causal conceptual model relationship hypothesized in the proposed model was validated using “PLS-SEM” with 265 responses. The findings confirmed that system-related “perceived usefulness (PU)” and “perceived ease of use (PEOU)”, “Social influence”, “Privacy”, and “Facilitating Condition” are salient antecedents of trust beliefs. Other Trust beliefs and Health Beliefs measured through Perceived benefits and perceived barriers are direct predictors of the adoption intention toward the health chatbots. Propensity to trust, Safety risk, and health beliefs like perceived severity and perceived susceptibility have an insignificant impact on health Chatbot adoption. The proposed integrative psychosocial-technological-health based on Trust is a theoretical model. The empirical data from stakeholders of the health department, including government officials, is thus tested.
Nisha TN and Mugdha Shailendra Kulkarni Emerald
Purpose The purpose of the study is to confirm the fact that in informations security, the human factor was considered as a key carrier of the majority of attacks that an information system faces. Banking and other financial services are always top among the most attractive targets for cyber attackers. Blind phishing or spear phishing is still one of the major contributors to all malicious activities in the e-banking sector. All the counter mechanisms, therefore, revolve around the concept of how security-aware the customers are. To fool these mechanisms, attacks are becoming smarter and are searching for methods where the human involvement is diminishing to zero. Zero click attacks are one big leap that attackers are taking that removes the requirement of human involvement in initiating attacks and are moving toward an era of unassisted attacks. Even though the standard procedure and protocols are built into the banking system, they fail to detect this attack resulting in significant losses. Design/methodology/approach This paper follows a conceptual review of the upcoming concept in security and its implication in e-banking sector. The methodology adopted in this paper uses review papers, articles and white papers to conclude a theoretical model. A detailed analysis of unassisted attacks is considered from 2010 onwards till 2022. Findings This research deliberates on the methodologies of zero click attacks and gives a detailed analysis of attack vectors and their exploits. This research also identifies the likely attacks on e-banking that these vulnerabilities can trigger. Originality/value The key contribution is toward the early detection of zero click attacks, suggesting countermeasure, reducing the likelihood of these attacks and the financial impact.
Rahul Dhiman and Vimal Srivastava Routledge India
Mugdha Kulkarni and Vijayakumar Bharathi. S. IGI Global
The purpose of this research is to study how intellectual capital impacts firm performance in information technology companies in India. Based on an extensive review of the existing literature, critical factors of intellectual capital (human capital, structural capital, and relational capital), and firm performance (financial performance and brand reputation) were defined to build a theoretical (causal) model. Senior executives of Indian IT companies (N=112) formed the sample for the empirical study. Using structural equation modeling, the study found human capital and structural capital impact brand reputation and financial performance. Interestingly, relational capital impacted financial performance and not brand reputation. The outcome of this research is significant in two ways: one, it explored the impact of intellectual capital on brand reputation and financial performance, which underpins research directions from the literature, and two, it contributed to the comparatively less-researched contextual relevance from an Indian information technology company perspective.
Vijayakumar Bharathi S. and Mugdha Shailendra Kulkarni IGI Global
This research article investigates the impact of using a Monopoly Board Game (MBG) in the teaching-learning process of financial statement analysis (FSA) to information technology management students, who earlier had little or no finance or accounting prior educational background. The subjects were students (N=159) in an Indian University. The study; first, narrated the process of administering MBG; second, quantitatively analyzed the learning experience through a structured questionnaire to validate the research objectives. The study resulted in the creation of three factor-clusters namely cognizance, collaboration, and enthusiasm which impacted students' MBG learning experience over the traditional teaching-learning methods. Results showed that factors relating to cognizance are more impacting than collaboration and enthusiasm. In the future, this research can be extended to advanced finance courses and can be integrated with relevant educational theories that underpin teaching-learning processes in higher education to other disciplines.
Dr.Kanchan Patil*, , Dr.Mugdha S Kulkarni, and Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
The growing sophistication technology has helped us exchange Information at our fingertips, eliminating the need for human support.” A platform designed to understand, learn and converse like a human and answer ad-hoc queries in real time is commonly referred to as a Chabot”. Chabot advisor is Artificial intelligence (AI) computer program that impersonates human communication in its natural format including text or spoken language using a technique such as NLP, image processing or video processing along with the end task completion as instructed by the user . The purpose of the paper was to examine what are the drivers for Chabot advisor services adoption (CBA), focusing on financial services. This study presents the explanatory Chabot advisor services factors by extending the Technology Acceptance Model (TAM). The construct in the research are like perceived privacy, perceived security, enjoyment and social influence. This empirical study was conducted in Pune city in India by collecting primary data from 310 online financial services customers. Data collected was analyzed using structural equation modeling using PLS-SEM.The outcome of this study is vital to financial companies like banks, policymakers, technology services adoption literature and provide customer-centric financial services.