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The purpose of this paper is to shed light on the relationship between organizational commitment (OC) and organizational citizenship behavior (OCB) as mediated by employee engagement (EE). The impact of different facets of OC (affective, continuance and normative) and EE (alignment, affectiveness and action-orientation) is examined with respect to OCB.

Insights from the literature underpin the hypotheses on how EE mediates the relationship between OC and OCB. Primary data using survey questionnaire were collected from 881 permanent employees of Delhi Metro Rail Corporation (DMRC) in India. Hayes' model 4 has been used for the mediation analysis.

The analyses show that only one facet of OC- affective commitment and the alignment and action-orientation dimensions of EE positively affect OCB. The relationship between OC and OCB is fully mediated by EE.

The results imply that engaging employees is pivotal for effectively fostering citizenship behavior among employees. Organizations should be willing to implement strategies and interventions which enhance the emotional experience of employees to foster a sense of belongingness with the organization and engage them.

The paper draws on a unique data set of a prestigious organization in India to provide insights with substantial degree of generalizability into the relationship between OC, OCB and EE, whilst applying a comprehensive definition of these constructs. It is the first study to examine the inter-relationship among different facets of these constructs.

This study aims to develop cause-and-effect relationships among the critical success factors (CSFs) of fintech adoption and rank these CSFs based on their importance in the model.

To achieve the objectives of the study, the Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL) approach was used. The data was collected from 16 experts using a questionnaire.

The findings demonstrated the interrelationships among the CSFs. In total, 16 critical factors were recognized as causal factors, and the remaining eight were considered effect factors. The CSFs were ranked based on their importance in fintech adoption.

This study is novel as it investigates CSFs of fintech adoption using FDEMATEL, and it contributes to understanding the nature of these factors and how they affect fintech adoption. The findings propose a significant basis to deepen fintech adoption and deliver a clue to design a practical framework for fintech adoption.