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On-demand work applications (ODWAs), a type of digital platforms (DPs), are technology-enabled intermediaries for gig workers. In this paper, we study these platforms and their impact on women belonging to the low socio-economic section in a developing economy. These women act as primary unpaid workers while being expected to make an economic contribution. Hence, they suffer from time scarcity where they need to find mechanisms to generate economic success from the limited time they have, in a largely informal economy. We employed the theoretical lens of affordances to delineate the affordances that are provided by the various features of ODWAs and their impact on life satisfaction of women. We conducted a mixed method study using interviews of 20 female gig workers, supplemented by a survey of 927 workers on one of the largest ODWAs in India. Our analysis points to the sense of identity and individuality that these platforms provide as well as lowering the market boundaries for greater inclusion. Our research is significant from both, the information systems and inclusion research perspectives, as it contributes to the theoretical understanding of the impact of DPs on breaking societal structures and providing avenues to marginalised sections. [ABSTRACT FROM AUTHOR]

Numerous studies have captured the experiences of teachers teaching online, but the current 'emergency' to teach online is unprecedented and has been challenging. Grounded in the theory of cognitive dissonance, this paper attempts to recapitulate the experiences of university teachers and analyses whether they have developed the consonant cognitions to teach online during the pandemic period or would they prefer switching back to 'normal' teaching as soon as the circumstances permit. Technology-enabled teaching has been found to be complex as it mandates teaching in a computerised setting and lacks an element of social interaction, which is at the heart of face-to-face teaching. Using Structural Equation Modelling, this study presents the determining factors that motivate teachers to embrace technology-driven teaching more convincingly. The study finds that in the absence of adequate training imparted to the teachers for developing technological and pedagogical knowledge (TPK), high psychological capital and facilitating conditions are the two most important factors ensuring teaching proficiency, creating positive online experiences and a continued intention to teach online. [ABSTRACT FROM AUTHOR]

This paper explores the different insider employee-led cyber frauds (IECF) based on the recent large-scale fraud events of prominent Indian banking institutions. Examining the different types of fraud and appropriate control measures will protect the banking industry from fraudsters. In this study, we identify and classify Cyber Fraud (CF), map the severity of the fraud on a scale of priority, test the mitigation effectiveness, and propose optimal mitigation measures. The identification and classification of CF losses were based on a literature review and focus group discussions with risk and vigilance officers and cyber cell experts. The CF was analyzed using secondary data. We predicted and prioritized CF based on machine learning-derived Random Forest (RF). An efficient fraud mitigation model was developed based on an offender-victim-centric approach. Mitigation is advised both before and after fraud occurs. Through the findings of this research, banks and fraud investigators can prevent CF by detecting it quickly and controlling it on time. This study proposes a structured, sustainable CF mitigation plan that protects banks, employees, regulators, customers, and the economy, thus saving time, resources, and money. Further, these mitigation measures will improve the reputation of the Indian banking industry and ensure its survival. [ABSTRACT FROM AUTHOR]

The paper examines the multi-dimensional nature of Internet Addiction (IA) and its influence on Well-Being (WB) amongst a representative sample of 320 young urban Indian internet users. Nine hypotheses are proposed through a conceptual model to assess the multi-dimensional nature of IA and its relationship with WB. Partial Least Squares – Structure Equation Modelling (PLS-SEM) was conducted to assess the hypothesised relationships. Of the proposed nine hypotheses, seven were accepted. The result indicated IA as a four-dimensional construct – Internet Control Disorder (ICD), Internet Craving (IC), Internet Obsession (IO), and Addictive Behaviour (AB). The findings supported that ICD positively and significantly influences IC. IC and AB both have a significant impact on IO. ICD and IC have a significant impact on the individual's AB. ICD and IO significantly influence WB. With respect to the dimensions IC, AB, and IO, the model is successful in explaining around 26%, 45%, and 33% of the variation. IA as a multi-dimensional phenomenon and its relationship with WB in a young-demographic nation like India has immense academic and societal value. The study provides critical actionable insights for users, educators, health counsellors, parents, and policymakers regarding interventions for controlling internet addiction. [ABSTRACT FROM AUTHOR]

Daily stand-up meetings (DSMs) are the most popular technique in agile methodologies and are deemed crucial for communication among the individual agile software developers to perform. Only a handful of studies in the past have shown the effect of the characteristics of DSMs on the attitude of agile developers. Little is known about how agile developers experience DSMs in their roles as junior/senior developers, and what feelings evoke these experiences. The purpose of this study was to describe and interpret agile developers' lived experiences with DSMs in their diverse roles. We conducted a hermeneutic phenomenological study with 19 professional agile developers. The lived experiences across the interviews revealed as an interaction between four categories: rationalising irrelevancy of DSMs, experiencing challenges with DSMs, conflicted opinion on the advantages of DSMs, and finding solutions. Developers experienced DSMs were too short to facilitate clear problem identification, or solve problems, or have a meaningful outcome. Senior developers experienced DSMs differently than junior developers in terms of sharing information, interest in other's work, monitoring progress, and facilitating decision making. Based on these findings, we discuss the theoretical contributions of our study, and offer recommendations for practitioners. [ABSTRACT FROM AUTHOR]

This study aims to identify the critical factors influencing the user experience of contact tracing apps and the sentiments around them. For this purpose, we used Google play reviews of Aarogya Setu, a contact tracing app developed in India. First, we establish the relationship between review sentiment and review rating using regression between sentiment polarity and review rating. Then, we used a hybrid aspect-based sentiment analysis approach that uses unsupervised linguistic techniques to determine statistically significant concepts present in the review texts and cluster them into representative aspects that were then tagged under human supervision. Finally, supervised deep learning methods were applied for exhaustive extraction of the aspects and associated sentiments from the reviews. The final exercise of determining the key influencing factors was done by grouping these aspects under factors identified by marketing experts. A total of nine factors were identified, with the usefulness of the app being the most important factor. The findings of this study are essential for the development team and government to improve the application and increase adoption. [ABSTRACT FROM AUTHOR]

This study investigates and compares the continuance intention of full-time business school students and faculty in India and Italy who moved from traditional pedagogy style to the digital classroom due to the COVID-19 pandemic. The study integrates the Expectation Confirmation Model (ECM) and Task-Technology Fit (TTF) to examine their continuance intention. Survey data was collected from 396 business school students and 130 faculty members from India and Italy and analysed using SmartPLS 3 software. The study found that perceived usefulness, satisfaction, and task-technology fit significantly impact the continuance intentions of students and faculty. Multigroup analysis of students indicates that Italian students are more driven by task-technology fit as compared to Indian students in their continuance intention; in comparison, Indian students rely more on gaining experience and knowhow on technology. Finally, the multigroup study of faculty suggests that Italian educators have a comparatively stronger orientation towards the fit between digital classroom technology and a portfolio of related tasks. In comparison, their Indian counterparts rely more on the perceived usefulness of technology. The strength of relationship between task-technology fit and continuance intention is comparatively lower for faculty as compared to students in both countries. Finally, implications for theory and practice are discussed. [ABSTRACT FROM AUTHOR]

The purpose of this study is to investigate the factors underlying the adoption, completion and continuance of massive open online courses (MOOCs), using technology-user-environment (TUE) framework, MOOCs features and MOOCs qualities. The proposed model was empirically tested using longitudinal research design. The primary data was gathered at three time points through a survey of 197 students at an Indian university. Stepwise regression analysis was used to test the hypothesised relationships in the proposed model. The results demonstrate that technological characteristics, user characteristics and MOOCs features influence the students' decisions in all the stages of MOOCs acceptance including initial adoption, completion and continuance. Environmental factors determine the students' initial intentions to adopt MOOCs, whereas MOOCs qualities predict their intentions to complete and continue the usage of MOOCs in future. Moreover, the intention to adopt MOOCs significantly predicts the intention to complete MOOCs which in turn significantly determines the intention to continue using MOOCs. These findings will be helpful for MOOCs providers and other stakeholders. The MOOCs providers can focus on the technological characteristics, user characteristics and MOOCs features as they carry a sustained influence on the students' intentions to adopt, complete as well as continue using MOOCs. [ABSTRACT FROM AUTHOR]