Varun Chotia

56902579100

Publications - 7

Decoding Cybervetting Through the Lens of Information Management: A Qualitative Study on Recruiter Practices in Digital Talent Acquisition

Varun Chotia Norah Albishri Nidhi Sahore Aradhana Galgotia Pap Martin Felicián

Publication Name: Journal of Global Information Management

Publication Date: 2025-01-01

Volume: 33

Issue: 1

Page Range: Unknown

Description:

Cybervetting practices are witnessing an exponential increase in its application across industries, however, the scholarly literature on the concept is limited. The present qualitative study seeks to synthesize the definition and concept of cybervetting in the talent acquisition landscape. There is limited holistic understanding about the cybervetting process model and its various stages followed by organizations. Further, the study seeks to identify from recruiters the kind of information extracted from the Internet and social media platforms and the consequent positive and negative cues inferred to assess the suitability of job seekers. To address these issues, a longitudinal qualitative study was undertaken, involving two waves of data collection from recruiters (HR professionals) to understand these dynamics.

Open Access: Yes

DOI: 10.4018/JGIM.387413

Cybervetting and Digital Footprints in Talent Acquisition: A Media Narrative Perspective on Information Management in Recruitment

Varun Chotia Norah Albishri Nidhi Sahore Aradhana Galgotia Pap Martin Felicián

Publication Name: Journal of Global Information Management

Publication Date: 2025-01-01

Volume: 33

Issue: 1

Page Range: Unknown

Description:

Cybervetting is an evolving phenomenon and has witnessed a significant surge in its application across industrial sectors. It can be regarded as the practice of scrutinizing the database of the digital footprints of job candidates found on the Internet and social media platforms for drawing inferences about the eligibility of a prospective employee. The deliberations and debates in the news articles and media platforms are a rich source of data that represent the real time views and thoughts of experts and public on a particular theme. The study intends to identify the various dimensions of the use of cybervetting by recruiters and job seekers, the two most important stakeholders in the talent acquisition space. Also, the study identifies the important motivators for the use of this practice, the pertinent concerns, and suitable remedies for resolving them. The findings of the study offer valuable insights and evidence for cybervetting from the perspective of a recruiter and the job aspirant, in comprehending the complexities and intricacies of the digital identities.

Open Access: Yes

DOI: 10.4018/JGIM.388745

Collaborative Reflexivity and Circular Literacy in Platform-Driven Innovation Ecosystems: Implications for Business Strategies

Divesh Ojha Varun Chotia Gabriella Imre Salwa Saleh Almasabi Yuxin Meng

Publication Name: Business Strategy and the Environment

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This research develops and assesses a model based on capabilities that explains how platform-based open innovation networks enhance sustainability through sequential mediation processes. By relying on concepts of reflexive innovation, ecosystem learning, and knowledge co-creation, the research shows that participation in platforms enhances the maturity of the circular learning ecosystems; therefore, promoting collaborative reflexive practice. Reflexivity leads to two outcomes: (a) an individual-level increase in circular literacy, which implies an increase in knowledge, skills, and behavioral orientation to circularity, and (b) system-level sustainable platform-based innovation outcomes, comprising the social and environmental impacts of the innovational processes. The outcomes endorse the proposed mediation directions. Interestingly, the digital inclusivity orientation was not associated with the reflexivity-literacy relationship, signifying that inclusion requires a deeper organizational integration in order to generate high capability impacts. The study enhances the literature on circular economy and innovation by introducing the concepts of reflexivity and circular literacy as the strategic abilities of a company and providing managers and policymakers with insights on how to build inclusive and sustainability-oriented platform ecosystems.

Open Access: Yes

DOI: 10.1002/bse.70583

Shaping entrepreneurial passion and readiness through generative AI intensity among students: a knowledge-based view driven analysis

Jagannath Mohanty Varun Chotia Intesar Almugren Gábor Szábo-Szentgróti Jaskirat Singh Rai

Publication Name: Journal of Knowledge Management

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 1-21

Description:

Purpose – In prior literature, generative artificial intelligence (Gen AI) association with entrepreneurial outcomes is not significantly examined. This study aims to explore students Gen AI use intensity association with their information quality and entrepreneurial knowledge that could relate to their entrepreneurial passion and entrepreneurial readiness. Design/methodology/approach – The data was collected from 201 students majoring in business management education. A conceptual model grounded in knowledge-based view (KBV) theory was developed and tested using the partial least square structure equation modelling approach. Findings – The study results shown that Gen AI use intensity is strongly associated with information quality needs and entrepreneurial knowledge of students’ that further positively related to their entrepreneurial passion and readiness. Students’ entrepreneurial passion has positively associated with their entrepreneurial readiness, emphasising the crucial role of Gen AI in developing entrepreneurial capabilities among them. Practical implications – This study extends the role of Gen AI to develop entrepreneurial skills, passion and readiness among students. At the same time, the study also highlights the role of higher academic institutions to draft and implement strategies for the successful integration of Gen AI into their course curriculum. Originality/value – This study showcases the successful integration of students’ usage of Gen AI with their entrepreneurial capabilities. In relation to the KBV, the study extends theory and practice by illustrating Gen AI’s use in educational domain to enhance students’ entrepreneurial knowledge and readiness.

Open Access: Yes

DOI: 10.1108/JKM-08-2025-1132

Experiential learning and governance in the socio-technical era: Modeling responsible AI performance via explainability and adaptability

Varun Chotia Intesar Almugren Attila Kurucz Nidhi Sahore Ming Liu

Publication Name: Technological Forecasting and Social Change

Publication Date: 2026-06-01

Volume: 227

Issue: Unknown

Page Range: Unknown

Description:

The concept of artificial intelligence (AI) is altering the way organizations operate. AI systems will deliver more intelligent results in a shorter period of time, starting with decision-making up to innovation. However, the more it is adopted, the more issues to do with fairness, transparency, and accountability are raised. Most organizations are finding it difficult to reconcile innovation and ethical responsibility. This study discusses the role of internal capabilities in making firms govern AI responsibly. The study proposes a model linking four key organizational capabilities, i.e., explainable AI capability, contextual learning adaptability, experiential learning orientation, and organizational ethical alignment to responsible AI performance. The impact of these capabilities on user interpretability and trust, responsible AI governance maturity, and decision transparency is also examined in this study. The results show that explainable AI capability and learning adaptability enhance user trust, while experiential learning orientation and organizational ethical alignment significantly improve governance maturity. Governance maturity and decision transparency lead to stronger responsible AI performance. Interestingly, not all expected paths held as user interpretability trust and governance maturity did not directly predict decision transparency. The findings show that building technical and cultural capabilities inside firms is essential not just to deploy AI effectively, but to do it responsibly. For leaders, this means moving beyond checklists and toward meaningful governance rooted in learning, transparency, and ethical alignment.

Open Access: Yes

DOI: 10.1016/j.techfore.2026.124624

Linking digital platform design to circular supply chains: Evidence from knowledge sharing and collaboration mechanisms

Judit Petra Koltai Varun Chotia Shivani Agarwal Dezhen Li Rsha Alghafes

Publication Name: Technology in Society

Publication Date: 2026-06-01

Volume: 86

Issue: Unknown

Page Range: Unknown

Description:

Digital platforms are increasingly central to circular economy transitions, yet it remains unclear how platform design translates into measurable circular outcomes. This study addresses this gap by developing a socio-technical framework that explains how digital platform information transparency and interoperability enable circular value creation. Drawing on socio-technical systems theory, platform governance, and the dynamic capabilities perspective, the study conceptualizes platform design features as layered affordances that operate through governance and knowledge-based mechanisms. Using survey data from platform-enabled supply chain actors and analysing the model via PLS-SEM, the findings reveal that transparency and interoperability significantly enhance sustainability governance mechanisms, while transparency strengthens knowledge sharing intensity and interoperability supports collaborative decision-making. Sustainability governance mechanisms, in turn, drive both circular business model implementation and circular supply chain performance, whereas knowledge sharing intensity primarily supports business model transformation. Notably, collaborative decision-making does not directly improve circular supply chain performance, suggesting that collaboration without governance alignment remains insufficient. By unpacking the indirect pathways through which platform design shapes circular outcomes, the study advances platform governance and circular supply chain literature. It offers actionable insights for managers and policymakers seeking to design digital ecosystems that move beyond symbolic digitalization toward measurable circular performance and systemic value creation.

Open Access: Yes

DOI: 10.1016/j.techsoc.2026.103325

# Practitioner Insights Into the Barriers to Patient Adoption of Al-Enabled Hearing Aids

Varun Chotia Hadeel Alsaleh Attila Kurucz Mai Nguyen Vikram Kumar Sharma

Publication Name: Journal of Global Information Management

Publication Date: 2026-01-01

Volume: 34

Issue: 1

Page Range: 1-32

Description:

This study examines the issues driving the non-adoption of AI-based hearing aids. The gap is critical since, despite increasingly improving technology, particularly with the integration of artificial intelligence (AI), the persistent non-adoption raises questions about the technology’s appeal and usefulness. The study uses a qualitative research methodology, collecting data from the study participants through written responses to interview questions. The data was collected from 56 people with hearing impairment and analysed using the grounded theory methodology to identify the barriers. The selective codes, representing the five themes (barriers) that broadly constitute resistance, are (i) technological performance barriers, (ii) financial and functional barriers, (iii) privacy and data security apprehensions, (iv) control and autonomy concerns, and (v) social and health concerns.

Open Access: Yes

DOI: 10.4018/JGIM.406956