S

Shalini Chandra

M.J.P. Rohilkhand University

ORCID: 0000-0002-7808-4617

Publishes on Technology Adoption and User Behaviour, Knowledge Management and Sharing, Technostress in Professional Settings. 119 papers and 2.5k citations.

119Publications
2.5kTotal Citations

Is this you? Claim your profile.

Add your photo, update your bio, and get notified when your ranking changes.

Top publicationsby citations

Evaluating the Role of Trust in Consumer Adoption of Mobile Payment Systems: An Empirical Analysis
Shalini Chandra, Shirish C. Srivastava, Yin‐Leng Theng|Communications of the Association for Information Systems|2010
Cited by 426

Consumer adoption of mobile payment (m-payment) solutions is low compared to the acceptance of traditional forms of payments. Motivated by this fact, we propose and test a “trust-theoretic model for consumer adoption of m-payment systems.” The model, grounded in literature on “technology adoption” and “trust,” not only theorizes the role of consumer trust in m-payment adoption, but also identifies the facilitators for consumer trust in m-payment systems. It proposes two broad dimensions of trust facilitators: “mobile service provider characteristics” and “mobile technology environment characteristics.” The model is empirically validated via a sample of potential adopters in Singapore. In contrast to other contexts, results suggest the overarching importance of “consumer trust in m-payment systems” as compared to other technology adoption factors. Further, differential importance of the theorized trust facilitators of “perceived reputation” and “perceived opportunism” of the mobile service provider, and “perceived environmental risk” and “perceived structural assurance” of the mobile technology, are also highlighted. A series of post-hoc analyses establish the robustness of the theorized configuration of constructs. Subsequent, sub-group analyses highlight the differential significance of trust facilitators for different user sub-groups. Implications for research and practice emerging out of this study are also discussed.

Technostress creators and job outcomes: theorising the moderating influence of personality traits
Shirish C. Srivastava, Shalini Chandra, Anuragini Shirish|Information Systems Journal|2015
Cited by 425

Abstract Although prior research has examined the influence of technostress creators on job outcomes, insights into the influence of personality traits on the perceptions of technostress creators and their consequent impacts on job outcomes are rather limited. Such insights would enable a deeper understanding about the effects of individual differences on salient job‐related outcomes. In this research, by leveraging the distinctions in personality traits offered by the big five personality traits in the five‐factor model and grounding the research in the transactional model of stress and coping, we theorise the moderating influence of personality traits on the relationships between technostress creators and job outcomes, namely job burnout and job engagement. Specifically, the study theorises the mechanisms through which each of the specific personality traits openness‐to‐experience, neuroticism, agreeableness, conscientiousness and extraversion interacts with technostress creators to differently influence job burnout and job engagement. We test the proposed model in a field study based on a survey of senior organisational managers who regularly use information and communication technologies for executing professional tasks. Although technostress creators are generally associated with negative job outcomes, our results also show that for individuals with certain personality traits, technostress creators may result in positive job outcomes. The study thus contributes to the technostress literature, specifically by incorporating the salient role of individual differences. The study also provides insights for managers who should pay special attention to allocating specific job roles to employees with particular personality traits in order to optimise job‐related outcomes.

Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework
Cited by 266Open Access

Through a systematic review of publications in reputed peer-reviewed journals, this paper investigates the role of blockchain technology in sustainable supply chain management. It uses the What, Who, Where, When, How, and Why (5W+1H) pattern to formulate research objectives and questions. The review considers publications since 2015, and it includes 187 papers published in 2017, 2018, 2019, and the early part of 2020, since no significant publications were found in the year 2015 or 2016 on this subject. It proposes a reusable classification framework—emerging technology literature classification level (ETLCL) framework—based on grounded theory and the technology readiness level for conducting literature reviews in various focus areas of an emerging technology. Subsequently, the study uses ETLCL to classify the literature on our focus area. The results show traceability and transparency as the key benefits of applying blockchain technology. They also indicate a heightened interest in blockchain-based information systems for sustainable supply chain management starting since 2017. This paper offers invaluable insights for managers and leaders who envision sustainability as an essential component of their business. The findings demonstrate the disruptive power and role of blockchain-based information systems. Given the relative novelty of the topic and its scattered literature, the paper helps practitioners examining its various aspects by directing them to the right information sources.

Social Presence in Virtual World Collaboration: An Uncertainty Reduction Perspective Using a Mixed Methods Approach1
Cited by 248

The life-like collaborative potential offered by virtual worlds (VWs) has sparked significant interest for companies to experiment with VWs in order to organize convenient, cost-effective virtual global workplaces. Despite the initial hype, recent years have witnessed a rather stagnant use of VWs for collaboration in organizations. Previous research recognizes that the inherent uncertainties within the VW environment are factors limiting their utilization by businesses. Hence, grounding this research in uncertainty reduction theory (URT), we aim to understand the modalities and mechanisms for mitigating the uncertainties and fostering user trust within VWs so that they can be effectively utilized as a workplace collaboration tool. With this end in view, we propose contextualizing and extending McKnight et al.’s (2002) institutional trust framework to the context of VWs by examining the significant role that social presence has in influencing the efficacy of the institution-based trust-building factors of situational normality and structural assurance in VWs. Using a sequential mixed methods approach (Venkatesh et al. 2013; Venkatesh, Brown, and Sullivan 2016), this research integrates results from a quantitative study with findings from a qualitative study to arrive at rich and robust inferences and meta-inferences, with the qualitative method first corroborating the inferences obtained from the quantitative research and then complementing them by identifying boundary conditions that may limit the use of VWs in organizations for workplace collaboration. The results together suggest not only the direct but also the interactional (complementary and substitutive) influences of social presence on the relationships of the two institutional trust-building factors to user trust in VWs.