Green Information System Adoption and Sustainability: A Case Study of Select Indian Banks

Sahu, Ganesh P.; Singh, Monika

doi:10.1007/978-3-319-45234-0_27

Cited by 9 publications

(6 citation statements)

References 45 publications

(73 reference statements)

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“…With the help of literature review and a formal interview with academic experts of the related domain, a model has been developed using ISM methodology. This model is used to interpret the relationship and direction between the variables, to a better understanding of interdependency [31]. Hence, ISM modeling is used to develop an effective model for adoption of the digital payment system.…”

Section: Model Development Through Interpretive Structural Modeling (mentioning

confidence: 99%

Critical Success Factors of the Digital Payment Infrastructure for Developing Economies

Singh

Sahu

Rana

et al. 2018

Smart Working, Living and Organising

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This paper studies the Critical Success Factors' (CSFs) for the adoption of Digital Payment System in India. There are few studies about the literature on CSFs for the adoption of the digital payment system in the Indian context. This study is an attempt to cover this gap. In this study, we reviewed the theories for adoption model at the individual level used in Information System (IS) and discussed four technology model including "Technology Acceptance Model" (TAM). Ten factors have been identified with extensive literature review and review of selected models namely; Perceived Ease of Use, Perceived functional benefits, Awareness, Availability of Resources, Government as a policy maker, Performance Expectancy, Social Influence, Price Value, Experience & Habit, and Risk-taking ability. An expert from academic industry has been taken as a reviewer or consultant of the selected variables. The CSFs may ensure that they are the predictors and the important factors for adoption of digital payments system in India. The study mainly uses the deductive approach to consider the primary and secondary sources of data. The analyses of these models take into account through Interpretive Structural Modeling (ISM) methodology and develop a model for effective adoption of Digital Payment System in India. The paper also makes future recommendations for further research studies.

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Section: Model Development Through Interpretive Structural Modeling (mentioning

confidence: 99%

Critical Success Factors of the Digital Payment Infrastructure for Developing Economies

Singh

Sahu

Rana

et al. 2018

Smart Working, Living and Organising

Self Cite

View full text Add to dashboard Cite

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“…However, the above approach does not apply to CSFs related to larger and more complex companies, units or projects, such as the discussed digitalization project. In such cases, various structured tools, models, frameworks and methods are used to "normalize" the data, such as the method of interpretive structural modelling [11,[39][40][41][42] or structured similarity analysis [43].…”

Section: Ds3 Data Analysismentioning

confidence: 99%

“…• Starting with the end in mind; Other publications on the subject are [46][47][48][49][50][51][52]. A specific example of CSFs that have a similar subject for development of those of this framework-digital business solutionsare the 10 CSFs identified for the needs of introduction of electronic payment systems in the bank sector [42]: coherence, complexity, customer demand, support from senior management, infrastructure, expert selection, security, cultural factors, government policies, awareness.…”

Section: Ds4 Csfs Identificationmentioning

confidence: 99%

“…In some cases, when there are pre-developed CSFs in the target area of application, it is possible to shorten the design process of CSFs and, after DS1, move directly to DS4. The developers of CSFs identified for implementing electronic payment systems in the banking sector [42] acted in a similar way (see the specific example of CSFs given at the end of Section 2.2).…”

Section: Ds4 Csf Identificationmentioning

confidence: 99%

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Adoption of Digital Business Solutions: Designing and Monitoring Critical Success Factors

Doneva

Gaftandzhieva

2022

Electronics

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The success of a business organization on its path to digital transformation depends on the success of the various stages of the project in order to adopt the selected digital business solutions. The success of this project is determined to a large extent by identifying and monitoring critical success factors (CSFs) for these stages. Based on the studies in the field of CSFs and consultations with experts from the ICT sector and academia, the paper presents a comprehensive framework for the overall management of CSFs (from CSFs’ design to their monitoring). The framework helps business organizations conceptualize CSFs for different stages of a project for the adoption of a chosen digital business solution. Furthermore, the framework provides practical guidance in the form of a framework, a methodology on what organizations should do to identify, monitor and manage the proper CSFs so that they can take the most advantage of them. The proposed framework has broad practical application and can be used by companies implementing projects for the digitalization of their activity to improve the digital services offered and advance the organization’s efficiency, etc. Currently, aiming to validate the presented framework, it will be applied for the adoption of a customer relationship management (CRM) digitalization solution, based on a cooperation agreement with a national company from the internet and TV service delivery industry. The framework can be further developed and applied to other project types.

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“…IT practitioners are the humans that possess the skills and knowledge to deploy Green IT/IS practices . This variable comprises of the staffs, professionals and experts involved in enterprise operation (Sahu and Singh, 2016). In addition, IT practitioners' attitude towards the environment will impact the success of Green IT/IS practice and this in turn influence other IT professionals and IT managers in deploying Green IT/IS practices (Loeser et al, 2017).…”

Section: Model Development 241 Variables That Influences Green It/is ...mentioning

confidence: 99%

A generic study on Green IT/IS practice development in collaborative enterprise: Insights from a developing country

Anthony

Majid

Romli

2020

Journal of Engineering and Technology Management

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Green Information System Adoption and Sustainability: A Case Study of Select Indian Banks

Cited by 9 publications

References 45 publications

Critical Success Factors of the Digital Payment Infrastructure for Developing Economies

Critical Success Factors of the Digital Payment Infrastructure for Developing Economies

Adoption of Digital Business Solutions: Designing and Monitoring Critical Success Factors

A generic study on Green IT/IS practice development in collaborative enterprise: Insights from a developing country

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