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The purpose of this study is to explore the factors that enable citizens to adopt e-government services in India.

The study uses a qualitative approach by conducting semi-structured interviews.

The study reveals novel e-government adoption factors, namely, auxiliary facilities, corruption avoidance, transparency and fairness in process, customer support, connectedness and forced adoption, previously unexplored in e-government adoption literature. In addition, the results highlight 17 e-government adoption factors that strengthen the findings from previous literature.

This study was qualitative in nature, and rather than generalization, the focus was explicitly on obtaining an in-depth understanding. The sample used was sufficient for the purpose of this study and allowed reasonable conclusions to be drawn; however, it cannot be considered representative of a vast country like India. Academicians and information systems researchers can use these findings for further research.

The findings of this study provide useful insights into the decision-making process of e-government services users in India and similar emerging economies. These findings can be important for government officials tasked with providing e-government services.

Previous studies in the context of e-government adoption, so far, have tried to integrate adoption factors from previous technology adoption models. Hence, these studies have not been able to capture the complete essence of e-government characteristics. In addition, there are limited studies in e-government adoption in the Indian context.

E-government quality (e-GovQual) and e-government user value (e-GUV) are multidimensional concepts. While previous studies have identified apparent factors influencing e-government satisfaction (e-GovSat) and e-government adoption intention (e-GovAI), such as e-GovQual and e-GUV, but they have neglected to explain the influence of the dimensions of these two concepts. The purpose of this research is to study e-government service value chain (e-GSVC) one-GovQual dimensions, e-GUV dimensions, e-GovSat and e-GovAI.

The study employs a quantitative method to test the hypotheses and validate the proposed model. Data are collected from 378 e-government users across different parts of India comprising of different demographic characteristics. The model is analyzed using structural equation modeling.

The findings highlight the impact of the dimensions of e-GovQual (efficiency, trust, reliability and citizen support) on the dimensions of e-GUV (functional, economic, social and emotional value) as e-GUV dimensions affect e-GovSat, which in turn influences e-GovAI. The results validate the e-GSVC and also stress the partial mediating role of the dimensions of e-GUV on the relationship between the dimensions of e-GovQual and e-GovSat.

The sample size of 378 may not be a proper representation of a country like India, which has huge diversity within its vast population.

The study offers practitioners a clear picture and a useful guide to better understand the drivers of value, satisfaction and adoption in the case of e-government users.

This study is probably the first attempt toward demonstrating the process influencing e-GovSat via e-GUV dimensions originating from excellent e-GovQual dimensions to ultimately trigger e-GovAI.

A government website is considered as an electronic government service delivery system (eGSDS). The authors look at this eGSDS from its process point of view. This study aims to expand the existing knowledge of e-government adoption, and to identify the significance of eGSDS process to user satisfaction.

This study uses a quantitative technique using data collected from 197 respondents. Structure equation modeling has been used to test the model and the proposed hypotheses.

The findings indicate that as the eGSDS process improves, a user’s perception of the government website’s ease of use increases, leading to increased perceived usefulness, which increases user satisfaction. The findings also indicate that eGSDS process has a significant impact on perceived usefulness and user satisfaction. This study provides evidence that the technological capabilities embedded in the government website processes are an important factor in determining e-government service quality and ultimately e-government user satisfaction.

The sample used was sufficient for this study and allowed reasonable conclusions to be drawn, but cannot be considered representative of all e-government users in India. Further research may help to validate the findings and generalize the results to a wider population. This study extends the current literature that looks at e-government adoption. Academicians and information systems researchers may use these findings for further research.

The research provides evidence that the technological capabilities embedded in the eGSDS process are critical in adopting e-government services. Government or concerned agencies may consider eGSDS process attributes (e.g. navigation, searching and transacting) while designing e-government service to give improved experience to its user.

E-government websites have become an important point of contact with citizens for many public services. However, more study is needed to understand how Web-based technological capabilities of e-government services affect user satisfaction. This study is an attempt to explore the impact of the eGSDS process on e-government user satisfaction.

The International Journal of Organizational Analysis (IJOA) is a leading journal that has published high-quality research focused on various facets of organizational analysis since 1993. This paper aims to conduct a retrospective analysis of the IJOA journey from 2005 to 2020.

The data used in this study was extracted using the Scopus database. The bibliometric analysis, using several indicators, is adopted to reveal the major trends and themes of the journal. The mapping of bibliographic data is carried using VOSviewer and Biblioshiny.

The study findings indicate that IJOA has grown for publications and citations since its inception. Five significant research directions emerged, i.e. organizational diagnostics, organization citizenship behaviour, organizational commitment to employee retention, psychological capital and firm performance, based on cluster analysis of IJOA’s publications.

To the best of the authors’ knowledge, this is the first study to conduct a comprehensive bibliometric analysis of IJOA. The study presents the key themes and trends emerging from a leading journal, considered a high-quality journal, for researching various facets of organizational functioning by academicians, scholars and practitioners.

Diagnosing the crop diseases by farmers accurately with the naked eye can be challenging. Timely identification and treating these diseases is crucial to prevent complete destruction of the crops. To overcome these challenges, in this work a light-weight automatic crop disease detection system has been developed, which uses novel combination of residual network (ResNet)-based feature extractor and machine learning algorithm based classifier over a real-time crop dataset.

The proposed system is divided into four phases: image acquisition and preprocessing, data augmentation, feature extraction and classification. In the first phase, data have been collected using a drone in real time, and preprocessing has been performed to improve the images. In the second phase, four data augmentation techniques have been applied to increase the size of the real-time dataset. In the third phase, feature extraction has been done using two deep convolutional neural network (DCNN)-based models, individually, ResNet49 and ResNet41. In the last phase, four machine learning classifiers random forest (RF), support vector machine (SVM), logistic regression (LR) and eXtreme gradient boosting (XGBoost) have been employed, one by one.

These proposed systems have been trained and tested using our own real-time dataset that consists of healthy and unhealthy leaves for six crops such as corn, grapes, okara, mango, plum and lemon. The proposed combination of Resnet49-SVM and ResNet41-SVM has achieved accuracy of 99 and 97%, respectively, for the images that have been collected from the city of Kurukshetra, India.

The proposed system makes novel contribution by using a newly proposed real time dataset that has been collected with the help of a drone. The collected image data has been augmented using scaling, rotation, flipping and brightness techniques. The work uses a novel combination of machine learning methods based classification with ResNet49 and ResNet41 based feature extraction.

The primary learning objective is to challenge students to evaluate the decision facing The Magic of Sarees (MOS) Preloved. The students will need to assess the risks involved versus maintaining the status quo. Students should apply strategic management concepts in their analysis. The second learning objective focuses on developing the students’ understanding of effective merchandising and pricing strategies for MOS Preloved. This case study discusses how MOS Preloved manages its inventory, the constant refreshing of collections and seasonal relevance and also discusses challenges and opportunities associated with managing a preloved inventory, considering factors like authenticity and quality control. This case study also considers pricing strategies (BCG matrix could be referenced for differential pricing) that could be used to strengthen the brand’s identity of “affordable, accessible, and authentic sustainable fashion”.

This case study is based on the brand “MOS Preloved”, an e-commerce market place in India for the buying and selling of preloved sarees. Founded by Susmita Misra in July 2021, the objective of the business is to create an online marketplace, buy and sell, for preowned sarees that facilitates circular economy. The accompanying saree stories add to the allure and ensure the magic of these sarees continues for the entire lifetime of each saree. Being an unstitched garment, the saree has no size limitation and with a little care could last for at least 100 wears. This case study discusses the founder’s dilemma of deciding to premiumize the merchandise which would include both adding higher priced preowned sarees as well as charging 50% of market price for current merchandise (currently being priced at 25%–40% of the current market price). The decision requires considerable investment in terms of information technology, infrastructure, human resources and marketing spends. Given how nascent, unorganized and unbranded the preloved saree market is, the founder is unsure of the time that it could take to get the return on investment. The risk: the longer she hesitates, the more vulnerable her monopoly becomes. The case study also discusses the evolution of saree into contemporary wear, the hurdles and possibilities in the preloved fashion sector and brand MOS Preloved’s attempts at creating a distinctive positioning.

This case study is suitable for postgraduate programme for MBA.

Teaching notes are available for educators only.

CSS11: Strategy.

How can we help poor people to earn more from their knowledge – rather than from their sweat and their muscle? This chapter is about promoting the innovation, knowledge, and creative skills of poor people in poor countries – and particularly about improving the earnings of poor people from such knowledge and skills. My principal message is that a lot is being done in this regard. On the whole, this useful work is a matter of straightforward application of familiar legal and commercial instruments and skills such as copyrights, trademarks, and patents. This does not mean that it is easy, however.

The study aims to analyse the challenges faced by the Indian Handloom Sector with a special focus on the state of Uttar Pradesh before and during the COVID-19 pandemic. This study further explores the benefits of AatmaNirbhar Bharat Abhiyan for the betterment of the livelihood of the COVID-19–hit handloom weavers and allied workers.

A total of 400 handloom weavers and allied workers from ten cities of Uttar Pradesh were contacted through telephone. Descriptive statistics were applied to measure the awareness about the government welfare schemes and the benefits of these schemes. Furthermore, satisfaction and opinion of the handloom weavers and allied workers regarding the benefits and sufficiency of the funds received under these schemes have also been measured.

Based on the results, the least awareness has been noted about government welfare schemes. However, a small number of weavers and allied workers were found beneficiaries of the schemes. Additionally, the majority of the respondents were found dissatisfied with the benefits. The COVID-19 pandemic is an addendum to the plight of handloom weavers and allied workers. The measures of AatmaNirbhar Bharat Abhiyan could be used to aid weavers and allied workers to restore their lost revenue.

This study has limitations. Firstly, the research is limited to the handloom industry of Uttar Pradesh. Future researchers could consider the handloom sector of other states like Maharashtra and Andhra Pradesh, known for hand-woven clothes. Secondly, this study aims to analyse the role of AatmaNirbhar Bharat Abhiyan in improving the living conditions of handloom weavers and allied workers and not to measure the impact of the Abhiyan on handloom weavers or the handloom sector. Researchers could measure the impact in future studies. Thirdly, the authors have not applied any behavioural theory or marketing models such as the Theory of Reasoned Action or the Blackwell model, which may be applied to study the attitude of handloom weavers towards welfare schemes. This may prove to be a potential direction for future research. Additionally, master weavers and handloom cooperatives societies were excluded while collecting the data. Future researchers could consider them to examine the role of the government’s welfare schemes for uplifting the socio-economic condition of the handloom weavers, allied workers, master weavers and the business of cooperative societies. Finally, due to lockdown and travel ban, the authors were forced to limit their survey to telephone only because of which they could not get the qualitative information in full. Researchers for future studies could visit the handloom concentrated areas personally or take the help of an enumerator for data collection.

The research holds significance for the young and competent designers, handloom weavers and allied workers. Designers could work with and hire handloom weavers of Uttar Pradesh. If designers and weavers work together, it will help them restore their business and generate revenue that they have lost due to the COVID-19 pandemic. Furthermore, policymakers can collaborate with designers, which will help enhance the socio-economic condition of handloom weavers and allied workers, which has deteriorated due to the COVID-19 crisis.

The research holds significance from the point of view of exploring the challenges faced by handloom weavers and allied workers of the state of UP before and during the COVID-19 period while examining the role of AatmaNirbhar Bharat Abhiyan in setting off these challenges.

The study explores and builds theories in Customer Perceived Values (CPVs) that drive counterfeit buying intention, using a Grounded Theory Approach (GTA) in an emerging market, India.

Counterfeit studies have either resorted to a survey approach or modelling approach in investigating various aspects and dimensions. This study, among a few, attempted a GTA in building theory on CPVs. Based on the observations and recorded responses that emerged through several Focus Group Discussions (FGDs); conducted in two metropolitan cities (India), newer insights into this illicit phenomenon of “Counterfeiting” were derived.

Adding to the counterfeit literature, the study presents a comprehensive view of the CPVs. Findings reveal economic, socio-normative, pleasure-based, euphemistic, acquisition-centrality, self-regulating, situational and sustainable consumption values that influence counterfeit attitudes and in turn impact counterfeit buying intentions. Although Economic Values (ECV) have been the primary motivation for counterfeit purchase, complex and newer values that emerged through this research study bears significance.

As a single point of reference, this study will provide impetus to scholars and academicians in expanding the counterfeit research domain. While aiding policymakers and marketers in further understanding this illicit practice, it will also guide brand managers in strategizing their offerings and reaching out to the masses with strong brand aesthetic values.

Based on a systematic literature review using the 4 Ws framework, this study is one of the few attempts that has adopted a GTA to explore and develop theories on CPVs in counterfeit research.