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The purpose of this paper is to measure the business value of IT (BVIT) and illustrate the relationship between IT practices and BVIT.

The paper uses a case study approach to collect the subject firm data over a period of one year. The data are about various IT systems used in the firm and their associated capital and operational cost components. The derived data are then compared with industry benchmarks.

The IT practices employed by the firm enable it to achieve a BVIT which is higher than the industry norm, from both strategic and operational perspectives.

In this study, a year’s worth of data from a single firm is considered. The temporal frame of the research data limits the generalization of the results. To improve the generalizability, data from many years and across many firms may be used.

The paper provides insights to managers to identify the measures of BVIT. Further, managers can make necessary interventions based on IT practices to derive IT capabilities which, in turn, impact the firm’s performance.

The contribution of the work is manifold: illustration of the relationship between IT practices and BVIT; illustration of a methodology to evaluate firm-level BVIT; and an approach to collect IT expenses – both capital and operational level.

This paper aims to analyse how the top over-the-top (OTT) platform is becoming a preferred source of entertainment amongst young consumers over traditional Pay TV service (Cable TV/DTH) in India and what factors play a vital role in such preferences along with gamification of content. The study follows the theoretical framework of use and gratifications theory and Niche analysis.

The study establishes a conceptual framework of understanding the preference of consumers, which triggers the shift from old media to new. This research develops an approach to understanding the relevant implications in responses of consumers through a structured online survey conducted amongst different age groups by applying exploratory and confirmatory factor analysis. To further comprehend the relations between measured variables and constructs, the statistical technique is incorporated, i.e. logistic regression.

Empirical results and discussion insinuated the five factors which affect consumers’ choices concerning entertainment i.e. content and viewing behaviour, expenses incurred on services, shifts influenced by offerings/incentives, convenience and telecom. Logistic regression validated the strength of these factors which made content and viewing behaviour, expenses incurred on services and convenience the three most important factors.

This study analyses the driving factors that are revolutionising the entertainment industry and can be applied in designing a comfortable and engaging experience for a consumer in the future.

This research is original in nature and the findings of this study are valuable for online streaming services, video-on-demand services, Cable TV operators and entertainment content producers.

The case helps to understand: the working mechanisms of a digitized salon service, with a focus on the lower- and middle-income strata. The changing scenario of the service marketing model, with the growth in digital service models. To investigate the organisational challenges of a digitally facilitated/based start-up and find solutions to overcome the challenges.

“Yes Madam”-salon at home was a business enterprise, providing beauty and wellness services at the doorstep through a mobile application and web-based platform. The case describes the reason for opening the doorstep beauty services, its revenue model and aims to provide quality services to lower- and middle-income strata. The case will help students to understand the working mechanism of digitized salon services and associated challenges; prominent ones being attracting, selecting and retaining the beauticians and providing the standardised services. The case has examined the low-price services for the consumers delivered by the company. The case also discussed their plans for diversification and penetration into the untapped markets.

Graduates and postgraduates.

Teaching Notes are available for educators only.

CSS 3: Entrepreneurship.

The disposition effect remains one of the most significant investor behavior puzzles. This study aims to consolidate the knowledge, explore current dynamics, elicit trends and offer future research directions to demystify the disposition effect.

This study applies the hybrid review method. It first used bibliometric analysis (212 documents), followed by content analysis (54 articles) to analyze the breadth and depth of literature on the disposition effect.

This study presents performance analysis and science mapping. It identifies five main research streams: evidence, implications and mitigation techniques; theoretical explanations; investor biases and hedonic framing; attributes, beliefs and preferences; and implications for asset pricing and market efficiency. This study further offers future research directions for disposition effect research.

This study deploys sequential bibliometric and content analysis. A meta-analysis of quantitative articles could provide specific insights regarding the disposition effect. Besides, this study is based on Scopus-indexed journals only.

This study benefits investors and portfolio managers as they learn effective ways to guard against the disposition effect. Policymakers may tweak tax laws to incentivize long-term holding, and regulators can run investor education campaigns to minimize the disposition effect’s consequences effectively.

To the best of the authors’ knowledge, this is probably the first hybrid review of high-quality, contemporary articles on the disposition effect that offers science mapping, research streams, future research directions and a succinct summary of theories, contexts, characteristics and methods deployed in the field of research.

This research explores the finite element modeling of the crater and material removal rate (MRR) in micro-electrical discharge machining (micro-EDM) with and without vibration of the workpiece. The application of workpiece vibration in the micro-EDM process improved flushing efficiency and enhanced material removal rate (MRR).

In this work, the two-dimensional axisymmetric finite element method (FEM) has been developed to predict the shape of the crater with and without vibration. The temperature distribution on the workpiece surface with and without vibration has been obtained in the form of the contour plot.

The MRR obtained from the numerical model revealed that there was an enhancement in MRR in micro-EDM with vibration as compared to without vibration. The effect of process parameters on MRR in micro-EDM with and without is also presented in this work.

In this work, the two-dimensional axisymmetric FEM model has been developed to predict the shape of the crater with and without vibration.

The purpose of this paper is to understand the perception of visually impaired undergraduate students about the digital environment in their institutions and develop an online information system suiting their requirements.

A survey was conducted on undergraduate students enrolled in ten colleges of the University of Delhi. A total of 95 visually impaired students were interviewed individually. Data collected from the respondents were analyzed and interpreted using simple percentage method and is presented in the form of figures.

The study found that maximum (35.8 percent) respondents access online electronic resources daily. Major constraints faced by them are as follows: inaccessibility of the college notice board, lack of accessibility to existing facilities and resources, lack of assistive technology facilities and unavailability of readers and writers. In total, 51.6 percent respondents indicated that it is cumbersome to access the college website because they are not designed according to the accessibility standards developed for visually impaired students. The respondents also revealed that they are not very familiar with useful devices like Vachak (Hindi Reading Device), SARA CE, Lex (Scanner for Hindi Script). The major reason cited by them is the lack of training and non-availability of trained staff.

DigitVaran contains course contents of the University of Delhi. Course contents of other Universities are not included. However, it is expected that contents related to the syllabi of other universities would be added in future.

The study will help visually impaired students to get the desired course contents conveniently. In addition, librarians of other universities can utilize the findings of the study to develop a comprehensive digital environment for visually impaired students. The study can be helpful in the assessment of digital infrastructure and services to visually impaired students by National Assessment and Accreditation Council and other funding agencies.

The study developed an information system DigitVaran to assist visually impaired undergraduate students in India. The system will help them to access the study materials and make aware of various extracurricular activities of the institutions.

This study aims to explore how different involvement levels within a single television program influence recall of cognitive vs affective advertisements aired during that television program.

Two studies of 2 (program involvement: high vs low) × 2 (advertisement involvement: cognitive vs affective) between subject design were conducted; one study was for cognitive program and other study was for affective program. Existing scales were used after conducting reliability and validity tests.

The influence of different levels of involvement with a television program on recall of cognitive and affective advertisements was found. Specifically, recall of cognitive advertisement was found to be higher when involvement with television program is low than when involvement with program is high. Recall of affective advertisement was found to be lower when involvement with program is low than when involvement with program is high.

Results indicate that cognitive advertisements are recalled more at point of low involvement with program, whereas affective advertisements are recalled at point of high involvement with program. The implications are in the field of understanding and making advertisement airing decisions.

When the television program progresses, the story tends to build, and hence, the involvement increases. Therefore, involvement level with the program at initial point and later point can vary. This study identified the possibility of cognitive advertisement being recalled more at initial point of a television program, i.e. at low involvement, and affective advertisement being recalled more at the later point of the same television program, i.e. at high involvement.

This paper aims to examine the impact of announcements related to 77 interventions by 46 listed Indian pharmaceutical firms during COVID-19 on the abnormal returns of the firms. The study also finds the variables which explain cumulative abnormal returns (CARs).

This study uses standard event methodology to compute the abnormal returns of firms announcing pharmaceutical interventions in 2020 and 2021. Besides this, the multilayer perceptron technique is applied to identify the variables that influence the CARs of the sample firms.

The results show the presence of abnormal returns of 0.64% one day before the announcement, indicating information leakage. The multilayer perceptron approach identifies five variables that explain the CARs of the sample companies, which are licensing_age, licensing_size, size, commercialization_age and approval_age.

The study contributes to the efficient market literature by revealing how firm-specific nonfinancial disclosures affect stock prices, especially in times of crisis like pandemics. Prior research focused on determining the effect of COVID-19 variables on abnormal returns. This is the first research to use artificial neural networks to determine which firm-specific variables and pharmaceutical interventions can influence CARs.

The COVID-19 pandemic has transformed consumer buying behavior across the world. COVID-19 crisis brought a behavioral change in consumers' attitudes toward health, financial and social well-being. The current research work highlights the factors influencing consumer buying behavior during the COVID-19 pandemic considering saving and safety perspectives.

This study attempts to understand the gap in buying behavior with reference to saving and safety. Survey-based study was conducted during the second phase of COVID-19, and the respondents were those who lived in highly affected COVID cities in India. Exploratory factor analysis and multiple regression analysis were carried out for testing the hypotheses.

Seven factors became the prominent factors in consumer buying patterns during the pandemic. Consumers in the times of COVID-19 pandemic spend only on essential items as compared to nice-to-have and non-essential items.

Respondents considered in the research were millennials aged 25–40. The current research is limited to specific geographic location.

The study assessed how savings and safety influence consumer buying behavior. The 2S framework model for consumer buying behavior during pandemic has been developed. The findings of the study provides a road map to the companies, policy makers, managers and consumers in understanding the consumer buying behavior during pandemic.

The current research work observe the changes in the behavioral patterns of consumers in the context of 2S framework, i.e. saving and safety. This study offer novel contribution as there is no available literature that examined the saving and safety aspects together for consumer buying behavior during crisis.

This paper aims to present the edge scattering dominant circuit modeling. The effect of crosstalk on gate oxide reliability (GOR), along with the mitigation using shielding technique is further studied.

An equivalent distributed Resistance Inductance Capacitance circuit of capacitively coupled interconnects of multilayer graphene nanoribbon (MLGNR) has been considered for T Simulation Program with Integrated Circuit Emphasis (TSPICE) simulations under functional and dynamic switching conditions. Complementary metal oxide semiconductor driver transistors are modeled by high performance predictive technology model that drive the distributed segment with a capacitive load of 0.001 fF, V_DD and clock frequency as 0.7 V and 0.2 GHz, respectively, at 14 nm technology node.

The results reveal that the crosstalk induced delay and noise area are dominated by the overall mean free path (MFP) (i.e. including the effect of edge roughness induced scattering), in contrary to, acoustic and optical scattering limited MFP with the temperature, width and length variations. Further, GOR, estimated in terms of average failure rate (AFR), shows that the shielding technique is an effective method to minimize the relative GOR failure rate by, 0.93e-7 and 0.7e-7, in comparison to the non-shielded case with variations in interconnect’s length and width, respectively.

Considering realistic circuit modeling for MLGNR interconnects by incorporating the edge roughness induced scattering mechanism, the outcomes exhibit more penalty in terms of crosstalk induced noise area and delay. The shielding technique is found to be an effective mitigating technique for minimizing AFR in coupled MLGNR interconnects.