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FinTech offers numerous prospects for significant enhancements and fundamental changes in financial services. However, along with the myriad of benefits, it also has the potential to induce risks to individuals, organisations and society. This study focuses on understanding FinTech developers’ perspective of the dark side of FinTech.

This study conducted semi-structured interviews with 23 Nigerian FinTech developers using an exploratory, inductive methodology The data were transcribed and then thematically analysed using NVivo.

Three themes – customer vulnerability, technical inability and regulatory irresponsibility – arose from the thematic analysis. The poor existing technological infrastructure, data management challenges, limited access to data and smartphone adoption pose challenges to a speedy integration of FinTech in the country, making customers vulnerable. The lack of privacy control leads to ethical issues. The lack of skilled developers and the brain drain of good developers present additional obstacles to the development of FinTech in Nigeria.

FinTech operation in a developing country differs from that in developed countries with better technological infrastructure and institutional acceptance. This study recognises that basic banking operations through FinTech are still not well adopted, necessitating the need to be more open-minded about the global practicalities of FinTech.

FinTech managers, banks and policymakers can ethically collect consumer data that can help influence customer credit decisions, product development and recommendations using the mobile app and transaction history. There should be strict penalties on FinTech for selling customers’ data, sending unsolicited messages or gaining unnecessary access to the customer’s contact list. FinTech can offer to educate consumers about their financial management skills.

Whereas other studies have focused on the positive aspects of FinTech to understand client perceptions, this study offers new insights into the dark side of FinTech by analysing the viewpoints of FinTech developers. Furthermore, the study is based in Nigeria, an emerging economy adopting FinTech, adding a new dimension to the body of knowledge.

“Fake news” or misinformation sharing using social media sites into public discourse or politics has increased dramatically, over the last few years, especially in the current COVID-19 pandemic causing concern. However, this phenomenon is inadequately researched. This study examines fake news sharing with the lens of stimulus-organism-response (SOR) theory, uses and gratification theory (UGT) and big five personality traits (BFPT) theory to understand the motivations for sharing fake news and the personality traits that do so. The stimuli in the model comprise gratifications (pass time, entertainment, socialization, information sharing and information seeking) and personality traits (agreeableness, conscientiousness, extraversion, openness and neuroticism). The feeling of authenticating or instantly sharing news is the organism leading to sharing fake news, which forms the response in the study.

The conceptual model was tested by the data collected from a sample of 221 social media users in India. The data were analyzed with partial least squares structural equation modeling to determine the effects of UGT and personality traits on fake news sharing. The moderating role of the platform WhatsApp or Facebook was studied.

The results suggest that pass time, information sharing and socialization gratifications lead to instant sharing news on social media platforms. Individuals who exhibit extraversion, neuroticism and openness share news on social media platforms instantly. In contrast, agreeableness and conscientiousness personality traits lead to authentication news before sharing on the social media platform.

This study contributes to social media literature by identifying the user gratifications and personality traits that lead to sharing fake news on social media platforms. Furthermore, the study also sheds light on the moderating influence of the choice of the social media platform for fake news sharing.

This paper examines the influence of facilitators and barriers on employees’ preference to work in a hybrid model. The study uses the theoretical lens of stimulus-organism-response (SOR) and dual factor theory (DFT). It examines the influence of health consciousness (stimulus), facilitators (e.g. work flexibility, work–life balance and team building) (organism) and barriers (e.g. pandemic and travel stressor and role overload [organism] on employees’ preference to work in a hybrid model) (response). Further, it tests the moderating influence of organizational culture.

A questionnaire survey was conducted among employees in India, Sri Lanka and Germany, obtaining 281 usable questionnaires. Structural equation modeling (SEM) using Warp PLS 7.0 was used as the analytical technique to examine the model fit and test hypotheses.

The findings reveal that health consciousness is essential in enhancing facilitators and motivating employees to prefer a hybrid working model. The study’s findings also prove the positive influence of work flexibility, work–life balance and team building as facilitators. The results suggest that pandemic and travel stressors inhibit employees’ preference for working in a hybrid model.

The study is based on a cross-sectional research design to generalise the findings. Future researchers can utilize longitudinal design to decipher the variation in response over time. The study has developed a model combining SOR with DFT; the authors suggest that future researchers use other theories in combination with SOR, like self-determination theory (SDT), to decipher the influence of intrinsic and extrinsic motivation of employees in the context of the hybrid working model.

This study identifies the need for open communication with the employees to overcome their concerns regarding the hybrid working model. The study also suggests that human resource (HR) managers need to prioritize the task that needs to be accomplished from the office versus working from home. The authors recommend various measures, like water cooler breaks and a buddy system, to motivate employees to work in a hybrid model.

This study is among the first studies focused on the hybrid working model. The current study adds to the limited literature on the facilitators and barriers of working in a hybrid work model.

This paper aims to assess the readiness of retail workers to use blockchain technology (BCT) to improve supply chain performance. The assessment was made via a quantitative approach taken using a theoretical framework based on Keller’s motivation model and self-determination theory in the BCT context.

The authors collected data from 567 retail workers from an emerging country through a structured survey questionnaire. The authors tested the hypotheses of the proposed model using Warp PLS 7.0 and controlled firm age, industry type and technological intensity.

Our findings may help firms in making the process of digital transformation inclusive. The authors found that supplier-based attention and motivation through BCT lead to supply chain performance, and that supplier-based satisfaction and trust achieved through BCT positively impact supply chain performance. Further, supplier-based relevance on raw material selection with the higher trust and motivation levels achieved through BCT was found to have a positive impact on supply chain performance.

IT supply chain applications are referred to as “lean” rather than “rich” because they still rely mainly on written and numerical means to present data. When the environment is less ambiguous, then less rich media can be used to facilitate communication. IT supply chain applications allow suppliers to spend time building relationships with other suppliers instead of focusing on administrative tasks, thus enhancing such relationships.

This study can be considered the first to assess retailer readiness to use BCT to improve supply chain performance through the theoretical lens of Keller’s motivation model and self-determination theory.

Owing to business uncertainty, it is prudent for organizations to rely on temporary employees to achieve numerical flexibility. This paper investigates the effect of perceived investment in temporary employee development (PITED) on organizational performance (OP) through the mediation process of organizational identification (OI), work engagement (WE) and the moderation process of perceived human resource policies (PHRP). A conceptual framework was built on social exchange theory and job demands-resource theory.

Data was collected from skilled temporary employees deputed at client organizations in the information technology business process management (IT-BPM) industry. Analysis was done using the partial least squares-structural equation modelling (PLS-SEM) method using SmartPLS 3.0 software.

The study established a significant association between PITED, OI and OP, in which OI acts as a partial mediator. In contrast, the mediating relationship of WE between PITED and OP was insignificant. PHRP moderated the relationship between PITED and OP.

This research suggests to top management and human resource leaders that PITED makes temporary employees identify with client organizations, resulting in increased OP.

This research builds on theoretical assumptions to adopt a temporary employee perspective on organizational initiatives and performance in the IT-BPM industry, which is uncommon.

Gig workers form the backbone of any crowdsourcing platform where they showcase their talent and choose a job of their choice and freedom. The study explores the role of information quality (IQ) and social-mediated dialogue (SMD) in evaluating gig worker engagement and productivity on crowdsourcing platforms. The authors also propose to understand how gig worker productivity could be improved under the moderating effect of game elements.

A conceptual model was developed and empirically tested by integrating media richness theory and dialogic public relation theory. Data were collected from gig workers that are involved in crowdsourcing activities for the past three years. An overall sample of 346 gig workers contributing to at least one of the crowdsourcing platforms was collected. The authors tested the hypotheses using Warp PLS 7.0. Warp PLS 7.0 uses partial least square (PLS) structured equation modeling (SEM) and has been used widely to test path analytical models.

Results reveal that the information quality plays an essential role in the SMD, thereby fostering gig workers' productivity and engagement, which could be improved in the presence of game elements due to their nature of supporting rewards. However, engagement in the platform leading to improved productivity was not supported.

The study lays practical foundations for crowdsourcing platforms as it sets the importance of both IQ and dialogic communication channels. The two-way communication between gig workers and the platforms via accurate, timely, valuable and reliable information forms the key to the task's success. The introduction of the right game element will help to achieve better engagement and productivity.

This study also offers a new dimension to media richness theory and dialogic public relation theory in crowdsourcing platforms. The results would help platform designers and gig employers understand gig workers' quality and performance in a platform economy. The study uniquely positions itself in the area of crowdsourcing platforms by using game elements.