Search results

The aim of this study is to investigate the likely antecedents of young Indian professionals' behavioral intention (BI) to use the income tax e‐filing service.

Prior to data collection, for which a self‐administered survey was conducted, lecture‐demonstrations were arranged to familiarize the potential respondents with the income tax e‐filing service. The psychometric data were analyzed for reliability and construct validity of the measures, and thereafter a regression analysis was carried out.

Regression results showed that antecedents of young Indian professionals' BI to use the income tax e‐filing service are: perceived ease‐of‐use, personal innovativeness in information technology, relative advantage (RA), performance of e‐filing service, and compatibility (COMP).

Past studies on income tax e‐filing are beset by problems of adopter bias, and failure to treat trust as a multi‐dimensional. In addition, these studies are skewed towards two theories, namely technology acceptance model, and theory of planned behavior. Although perceived characteristics of innovating has held considerable promise as an alternative framework, it has a chronic problem of confounding between RA and COMP. In investigating the antecedents of young Indian professionals' intention to use the income tax e‐filing, this study also tries to deal with these issues, which are important to the practice of e‐government adoption research.

Adoption of solar energy plays an important role in the growth of a country. There are many factors which influence the adoption of solar energy in India. The study is designed to identify factors that determine the acceptance or rejection of solar energy systems in India.

Relationship among identified variables is established through interpretive structural modelling (ISM) and thus a conceptually validated model is evolved. Further, MICMAC analysis is conducted to understand the driving power and dependence of these variables.

It is revealed that experience and habit, awareness and social influence are the intermediary variables. MICMAC Analysis shows that no variable is disconnected from the system and all the variables influence the adoption of solar energy in India.

The present study is expected to be useful to decision makers, end users and research organisations related to solar energy adoption.

Various intentional factors influencing solar energy systems adoption have been acknowledged in the present study, thus making it useful for formulation of action plans and enhance the usage of solar energy systems to improve environment quality.

This paper aims to introduce a systematic computing and analytical procedure that is applied to the co-author network to identify the temporal evolution and growth of research collaborations in the area of e-governance. The empirical analysis of the temporal co-author network can trace the emerging authors and knowledge bursts over time.

The study applied social network theory to trace the author collaboration patterns in the domain of e-governance. Analysis of the co-author network using micro and macro parameters was done to trace the temporal evolution of the author collaborations.

E-governance is a multi-disciplinary research domain split over streams of management, politics, information technology and electronics. Hence, research collaborations play a significant role in its advancement. The knowledge sharing between individual authors, institutions and groups through research collaborations, resulting in extensive sharing of data, equipment and research methods, has boosted research activities and development in e-governance. In this paper, the authors systematically analyse the current scenario of research collaborations in the area of e-governance using co-author network to estimate its impact on the advancement of the field. The authors also analysed the temporal evolution of the co-author networks, which show remarkable growth of research collaborations in the domain of e-governance from the year 2000.

The co-author network analysis is only a proxy measure for the analysis of research collaborations. The names of the authors and the university affiliations used in the article are as retrieved from the research repository of Scopus. The degree, citations and other parameters related with authors have scope only within the environment of the co-author network used in the analysis. The criteria used in the study is limited to the degree of research collaborations and the number of co-authored publications in the giant component of the co-author network.

Institutions, authors and governments can trace and select suitable topics and choose research groups of co-authors over the world for future research collaborations in e-governance. The knowledge about the emerging and most discussed topics gives an overview of the global research trends of e-governance.

The study identified the evolution of creative collaborations in e-governance in the global perspective. The methodology introduced here is helpful to detect the proficient and productive author collaborations and the spectrum of related e-governance research topics associated with them. As the author collaborations can be mapped to the institutional and country-level collaborations, the information is helpful for researchers, institutions and governments to establish the best collaborations in e-governance research based on the author proficiency, collaboration patterns and research topics as per the requirements.

The paper introduces a novel research methodology using temporal analysis of co-author network to identify the evolution of research patterns and the associated research topics.

The purpose of this paper is to classify and compare the importance of the benefits consumers derive from affinity credit card programmes.

A random sample of affinity credit card holders of a major Greek athletic club (AC) was surveyed and a multi-group structural equation model was run to assess the hypothesised relationships among the study constructs.

Overall, the relational benefits of affinity credit cards outperform the functional ones. However, this finding depends on the number of additional credit cards held by affinity credit card holders.

The study is the first one to test formally the viability of a core services marketing theory (relational benefits) within the affinity marketing field as a means of explaining consumer behaviour within such a context.

One of the most neglected sources of energy loss is streetlights that generate too much light in areas where it is not required. Energy waste has enormous economic and environmental effects. In addition, due to the conventional manual nature of operation, streetlights are frequently seen being turned ‘ON’ during the day and ‘OFF’ in the evening, which is regrettable even in the twenty-first century. These issues require automated streetlight control in order to be resolved. This study aims to develop a novel streetlight controlling method by combining a smart transport monitoring system powered by computer vision technology with a closed circuit television (CCTV) camera that allows the light-emitting diode (LED) streetlight to automatically light up with the appropriate brightness by detecting the presence of pedestrians or vehicles and dimming the streetlight in their absence using semantic image segmentation from the CCTV video streaming. Consequently, our model distinguishes daylight and nighttime, which made it feasible to automate the process of turning the streetlight ‘ON’ and ‘OFF’ to save energy consumption costs. According to the aforementioned approach, geo-location sensor data could be utilised to make more informed streetlight management decisions. To complete the tasks, we consider training the U-net model with ResNet-34 as its backbone. Validity of the models is guaranteed with the use of assessment matrices. The suggested concept is straightforward, economical, energy-efficient, long-lasting and more resilient than conventional alternatives.

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.

E‐government implementation evolves through different stages of maturity, enforcing changes in strategies at each level. The transitions of service maturity phases pose continuous challenges to service providers in assessing the e‐service quality of web‐based services used in government. This study is conducted to propose a multi item scale for assessing the e‐service quality of government portals involving transactions.

Factors influencing the e‐service quality of government portals were identified from an extensive review of research performed by academic scholars and practitioners. A questionnaire was designed based on a review and interviews with users of e‐government applications and was used to conduct a survey of fully operational portals. Responses were obtained and quantitative analyses were performed on the data to develop a scale. This scale can help in evaluating citizen perceived quality of e‐services.

Seven constructs – i.e. citizen centricity, transaction transparency, technical adequacy, usability, complete information, privacy and security and usefulness of information – were identified from the analyses, which can be used to assess the demand side service quality of government portals.

Despite a well‐structured, national‐level plan on e‐government and adequate funding in India, most of the projects under the scheme are far below the expectation level of citizens. Technology‐enabled applications have promised easy access to government services with economic gain in certain cases, but they have not ensured citizens' satisfaction. Improved service quality based on citizens' need and expectation can reduce the gap between design and reality and act as positive trigger for adoption of e‐government. This study can help government portal developers get an insight into users' needs to improve the design and implementation of online services. The issues are significant and cannot be overlooked in practice.

The paper is original and a research study. It provides an understanding of citizens' perceived quality of e‐services and adoption behavior within the framework of the web‐based environment of government services.

This paper aims to explore the risk and benefit perceptions influencing beer patrons’ purchase and consumption decisions in India. It delves into the drivers behind consumers’ consumption patterns and attitudes towards beer, which subsequently impact their behavioural intentions, including word-of-mouth recommendations and repurchase intentions.

The study uses a structured questionnaire to collect data from 306 beer patrons in Delhi and the National Capital Region. Through exploratory factor analysis and structural equation modelling, the research examines the risk (5) and benefit (3) factors associated with beer consumption using a factor model consisting of 29 constructs. A conceptual framework illustrates the interrelationships between variables, which are subsequently validated empirically.

The findings reveal that patrons’ attitudes towards beer are influenced by their perceptions of risk and benefit. Specifically, health and socio-psychological risks are identified as the most significant and negatively impacting factors on patrons’ attitudes. Factorial analysis demonstrates that patrons’ attitudes towards beer are positively influenced by their perception of benefits such as value for money, sensory appeal and convenience. Furthermore, the study highlights that an increase in benefit perception or a decrease in risk perception leads to a favourable shift in patrons’ attitudes towards beer.

To the best of the authors’ knowledge, this study will be the first to investigate how beer consumers’ consumption patterns and purchase decisions are impacted by assessing consumer risk and benefit perceptions. This study will also aid stakeholders in tailoring their beer offerings better to meet the desires and requirements of their customers.

The tourism has become more responsible in terms of tourists choosing environmentally friendly alternatives and resorting to green options in food, travel, and purchase. In view of this, “ecotourism” appears as a sustainable means of promoting tourism in the less explored areas which are endowed with esthetic beauty of nature. Ecotourism is based on the pillars of biodiversity, wildlife, natural wealth, rivers, and authentic cuisine. The proposed chapter is an attempt to explore the ecotourism potential of the Southern Rajasthan in India which has a rich heritage of natural wealth and cultural diversity.

Despite the potential of social media in emerging markets (EMs), only a few studies published in high-quality information systems (IS) journals that have addressed issues related to social media in the context of EMs. The purpose of this paper is to analyse existing research related to social media published in high-quality IS journals for exploring initial research trends, emerging themes, limitations and future research directions in the context of EMs.

This study conducted a systematic review of 22 articles on social media, which were published in the “Senior Scholars Basket of IS Journals and Information Systems Frontiers” from 1997 to 2017. Manual literature search approach (i.e. screening through the table of contents of each journal) was employed to identify relevant articles. The content of relevant articles was systematically analysed and synthesised along with keyword analysis to understand research trends on social media related issues in the EMs context.

The study identified four major themes from existing research on the social media in the context of EMs, namely: social media frameworks; social media and consumers; social media and organisations; and social media and society with the majority of the studies focussing on consumers. A single subject was found as the major limitation with studies analysed focussing on single platform/country/domain hindering the generalisability whereas including a new exogenous variable to improve the validity of existing studies emerged as main future research direction.

This study conducted literature review on social media in EMs, which have not been undertaken yet. Moreover, it employed manual search (an effort and time-intensive approach) to overcome the shortcomings of keyword search to identify, locate, select and analyse the social media literature in the context of EMs.