The present study investigated the business school students’ intention to misuse Generative Artificial Intelligence (GenAI) technologies like ChatGPT to complete their academic assignments. This study contextualises the key elements from deterrence and neutralisation theories, including the role of gender, which influence the students’ misuse intention in higher education towards using GenAI to assist in completing their academic work. We collected data from 413 business school students in India who had already used ChatGPT for their academic assignments. The analysis indicates a positive relationship between all neutralisation techniques and misuse intention. Regarding deterrence elements, the severity of formal sanctions, the certainty of shame, and moral beliefs negatively affect the students’ misuse intention. In terms of the moderating influence of gender, we found that male students, as compared to females, are relatively likely to exhibit a greater degree of neutralisation behaviour and a lesser degree of deterrence behaviour. Overall, the results show that neutralisation techniques have a greater impact than deterrence factors in controlling the misuse of GenAI for academic assignments. The study further reflects how the impact of neutralisation constructs and deterrence factors varies between males and females in using GenAI at higher education institutions.

As innovative information technologies (IT) become increasingly available, there is a need to understand how these technologies diffuse in organisations. Several studies on IT innovation have investigated the relationship of key innovation attributes, namely relative advantage, compatibility, complexity, trialability, and observability with either ‘intention to use’ or ‘adoption’ in the organisations. However, those studies have observed contradictory results regarding these relationships. Additionally, there is a lack of investigation on how contingencies of innovation type (IT service vs IT product) and country context (developing vs developed) influence these relationships. Considering these gaps, the present research undertakes a meta-analysis of 86 studies published during 2001–2020 to examine how organisational ‘intention to use’ and ‘adoption’ of IT innovations are influenced by key innovation attributes. We also examine how contingencies of innovation type and country context influence these relationships. Results contribute to the diffusion of innovations as well as information systems literature.

On-demand home service application (HSA) is a technological advancement that has brought various day-to-day services to our doorstep with just a few clicks. By using consumer-perceived values (utilitarian, hedonic, and social), trust transfer theory, and commitment-trust theory, the present study aims to investigate the factors influencing sharing intention and repurchase intention of consumers towards using HSAs on their mobile phones. This study involves collecting data from 357 respondents in India and analyzing the same using the SmartPLS 3 software. The results indicate that trust in HSA is influenced by utilitarian value and social value, but not by hedonic value. Trust in HSA results in repurchase intention, commitment, and sharing intention. Interestingly, trust in the user community affects sharing intention but not repurchase intention and commitment. The study integrates the consumer-perceived value, trust transfer theory, and commitment-trust theory to build an integrative framework that explains the consumers' sharing and repurchase intentions towards HSAs.

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.

In this work, we have proposed and experimentally demonstrated a true full-duplex input–output (TFD-IO) for high-speed high-density interfaces. The proposed TFD-IO can be used as an independent module that converts a unidirectional IO/interconnect to a fully bidirectional IO/interconnect, to ideally double the throughput of the high-speed interface. The TFD-IO uses a correlation-based technique to cancel the self-interference (SI) and echoes adaptively in the background. The signals transmitted from the near-end and the far-end can use independent baud-rates and signaling schemes in a TFD-IO. A proof-of-concept design of the TFD-IO module has been fabricated in a 65-nm CMOS technology, and demonstrated with bidirectional throughputs of up to 12.8 Gb/s.

The present study performs the bibliometric analysis of the social commerce (s-commerce) literature, highlights the major research themes, and suggests future research directions. The HistCite software has been used for bibliometric analysis on a sample of 660 s-commerce papers obtained from the ISI Web of Science database. This study analyses these papers to present the details about the influential journals, authors, and universities regarding s-commerce research. Following research themes have been identified based on the content analysis as well as citation mapping of the top-cited 53 s-commerce papers: 1) S-commerce – Purchase Intention, 2) S-commerce – Sharing Intention, 3) Social Media – Marketing and Consumer Engagement, 4) S-commerce – User Preferences and Concerns. Subsequently, a multi-dimensional conceptual model has been developed to highlight the coupling and flow between s-commerce growth drivers, practice indicators, and performance metrics. Finally, future research directions have been recommended.

In this paper, we propose a low power, high-resolution digitally controlled phase interpolator based clock and data recovery (CDR) architecture for high-speed serial links. This architecture incorporates a half-rate hybrid phase detector (HyPD) consisting of a linear phase detector with a 2-tap decision feedback equalizer (DFE), a 1-bit comparator, and an 8-bit digitally controlled phase interpolator. HyPD results in better power performance over the bang-bang phase detector. DFE used in HyPD combats the effect of inter-symbol-interference (ISI) and improves the sampling margins. The phase interpolator provides an unlimited phase capture with a resolution of 1.41° per LSB for varying phase of the input clock. The differential and integral nonlinearities of the DAC based phase interpolator are within ±0.28 LSB and ±0.3 LSB respectively, which lead to low jitter in the recovered clock. We have designed a 5 Gb/s CDR in a 0.18-μm standard CMOS technology. It draws 23.4 mW of power from a 1.8-V supply.

We propose an equi-probable line coding scheme for pulse amplitude modulation (PAM)-4. This encoding scheme can be used for improving the spectral efficiency of high speed serial links. Equi-probable PAM symbols also ensure atleast one zero-crossing transition in every encoded word, which is sufficient enough to recover the symbol clock from the received data. The equi-probable encoded words make design of the comparators at the receiver easy by aiding an automatic threshold tracking mechanism. This proposed encoding technique has a maximum contiguous symbol run length of 8, and ensures a DC balancing of encoded signals. The proposed 10S/12S encoding scheme has an overhead of 20%, as compared to the 25% overhead in the commonly used 8B/10B schemes.