International Journal of Electronic Government Research (IJEGR), 2022
This study attempts to explore the contextual factors that play a significant role in promoting c... more This study attempts to explore the contextual factors that play a significant role in promoting collaborative governance using mobile phones in developing countries. The study utilises review of academic literature and experts’ opinion to identify critical conversion factors and their interrelationship. Affordance Theory is used as a theoretical lens to identify eight significant factors covering development of infrastructure, citizen up-skilling, cost of access, ease of use, reliable infrastructure, ensured privacy & security, process accountability and a standardised m-governance policy. A combination of Total Interpretative Structure Modelling (TISM) and Cross-impact matrix multiplication applied to classification (MICMAC) analysis is employed to prioritise these conversion factors and classify them based on their dependence and driving power. A priority-based hierarchical model is proposed for establishing a sustainable m-governance ecosystem.
Governments worldwide invest heavily in digital initiatives to develop information societies with... more Governments worldwide invest heavily in digital initiatives to develop information societies with connected and actively engaged citizens, but problems like lacking sustained engagement and quality of participation still plague them. We undertook a systematised literature review on the Scopus and Web of Science (WoS) databases, covering dispersed literature surrounding Digital Citizen Empowerment (DCE) from the past two decades.Categorising the literature under four thematic categories or strategies of DCE: Digital Activism (DA), Multi-channel Service Delivery (MCSD), Participatory Budgeting (PB), and Deliberative Governance (DG) critical comparative analysis is done. A conceptual model of DCE, covering how theories from different inter-disciplinary areas of political, social, and information science influence the development of information societies and DCE is presented. Action points in our conceptual model are mapped to policy objectives targeting improved delivery of empowering policy goals by practitioners, and future research opportunities in the context of DCE are discussed.
ICEGOV 2021: 14th International Conference on Theory and Practice of Electronic Governance, 2021
Governments around the world are investing many resources to develop ubiquitous governance networ... more Governments around the world are investing many resources to develop ubiquitous governance networks and information systems; this is seen as the advent of Digital Era Governance (DEG). Government websites or service platforms are replacing the physical offices of government department and in-person state-citizen interactions. It is a transformative shift in not only the workings of the State but also a change in the overall governance ecosystem. Citizens' role as co-creators and participants in policy and initiative design is increasing, and there is a general push for collaborative e-governance.
With this study, we attempt to explore how governments can ensure accountability by design and policy, i.e., Digital Accountability in these websites or platforms that are going to act as a one-stop shop for citizens regarding government services. We have taken a multi-method approach to explore the various constituent factors that help build up accountability in any e-government process or websites delivering web services. Best Worst Method (BWM) is employed to find the relative weights of these factors in the chosen context. These are validated using qualitative techniques of Total Interpretative structural modelling, and the Matrix of Cross Impact Multiplications Applied to Classification (TISM-MICMAC). We have also attempted to explore the contextual relationships between these factors and how do they help conceptualise and operationalise digital accountability for e-governance.
Purpose
This paper aims to enlighten stakeholders about critical success factors (CSFs) in develo... more Purpose This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI) with robotics. It suggests a prioritization hierarchy model for building sustainable ecosystem for developing IASs.
Design/methodology/approach This paper is based on the existing literature and on the opinion of 15 experts. All the experts have minimum of eight years of experience in AI and related technologies. The CSF theory is used as a theoretical lens and total interpretative structure modelling (TISM) is used for the prioritization of CSFs.
Findings Developing countries like India could leverage IASs and associated technologies for solving different societal problems. Policymakers need to develop basic policies regarding data collection, standardized hardware, skilled manpower, funding and start-up culture that can act as building blocks in undertaking sustainable ecosystem for developing IASs and implementing national AI strategy. Clear-cut regulations need to be in place for the proper functioning of the ecosystem. Any technology that can function properly in India has better chances of working at the global level considering the size of the population.
Research limitations/implications This paper had all its experts from India only, and that makes the limitation of this paper, as there is a possibility that some of the factors identified may not hold same significance in other countries.
Practical implications Stakeholders will understand the critical factors that are important in developing sustainable ecosystem for IASs and what should be the possible order of activities corresponding to each CSF.
Originality/value The paper is the first of its kind that has used the CSF theory and TISM methodology for the identification and prioritization of CSFs in developing IASs. Further, eight significant factors, that is, emerging economy multinational enterprises (EMNEs), governance, utility, manpower, capital, software, data and hardware, have come up as the most important factors in integrating AI with robotics in India.
International Journal of Electronic Government Research (IJEGR), 2022
This study attempts to explore the contextual factors that play a significant role in promoting c... more This study attempts to explore the contextual factors that play a significant role in promoting collaborative governance using mobile phones in developing countries. The study utilises review of academic literature and experts’ opinion to identify critical conversion factors and their interrelationship. Affordance Theory is used as a theoretical lens to identify eight significant factors covering development of infrastructure, citizen up-skilling, cost of access, ease of use, reliable infrastructure, ensured privacy & security, process accountability and a standardised m-governance policy. A combination of Total Interpretative Structure Modelling (TISM) and Cross-impact matrix multiplication applied to classification (MICMAC) analysis is employed to prioritise these conversion factors and classify them based on their dependence and driving power. A priority-based hierarchical model is proposed for establishing a sustainable m-governance ecosystem.
Governments worldwide invest heavily in digital initiatives to develop information societies with... more Governments worldwide invest heavily in digital initiatives to develop information societies with connected and actively engaged citizens, but problems like lacking sustained engagement and quality of participation still plague them. We undertook a systematised literature review on the Scopus and Web of Science (WoS) databases, covering dispersed literature surrounding Digital Citizen Empowerment (DCE) from the past two decades.Categorising the literature under four thematic categories or strategies of DCE: Digital Activism (DA), Multi-channel Service Delivery (MCSD), Participatory Budgeting (PB), and Deliberative Governance (DG) critical comparative analysis is done. A conceptual model of DCE, covering how theories from different inter-disciplinary areas of political, social, and information science influence the development of information societies and DCE is presented. Action points in our conceptual model are mapped to policy objectives targeting improved delivery of empowering policy goals by practitioners, and future research opportunities in the context of DCE are discussed.
ICEGOV 2021: 14th International Conference on Theory and Practice of Electronic Governance, 2021
Governments around the world are investing many resources to develop ubiquitous governance networ... more Governments around the world are investing many resources to develop ubiquitous governance networks and information systems; this is seen as the advent of Digital Era Governance (DEG). Government websites or service platforms are replacing the physical offices of government department and in-person state-citizen interactions. It is a transformative shift in not only the workings of the State but also a change in the overall governance ecosystem. Citizens' role as co-creators and participants in policy and initiative design is increasing, and there is a general push for collaborative e-governance.
With this study, we attempt to explore how governments can ensure accountability by design and policy, i.e., Digital Accountability in these websites or platforms that are going to act as a one-stop shop for citizens regarding government services. We have taken a multi-method approach to explore the various constituent factors that help build up accountability in any e-government process or websites delivering web services. Best Worst Method (BWM) is employed to find the relative weights of these factors in the chosen context. These are validated using qualitative techniques of Total Interpretative structural modelling, and the Matrix of Cross Impact Multiplications Applied to Classification (TISM-MICMAC). We have also attempted to explore the contextual relationships between these factors and how do they help conceptualise and operationalise digital accountability for e-governance.
Purpose
This paper aims to enlighten stakeholders about critical success factors (CSFs) in develo... more Purpose This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI) with robotics. It suggests a prioritization hierarchy model for building sustainable ecosystem for developing IASs.
Design/methodology/approach This paper is based on the existing literature and on the opinion of 15 experts. All the experts have minimum of eight years of experience in AI and related technologies. The CSF theory is used as a theoretical lens and total interpretative structure modelling (TISM) is used for the prioritization of CSFs.
Findings Developing countries like India could leverage IASs and associated technologies for solving different societal problems. Policymakers need to develop basic policies regarding data collection, standardized hardware, skilled manpower, funding and start-up culture that can act as building blocks in undertaking sustainable ecosystem for developing IASs and implementing national AI strategy. Clear-cut regulations need to be in place for the proper functioning of the ecosystem. Any technology that can function properly in India has better chances of working at the global level considering the size of the population.
Research limitations/implications This paper had all its experts from India only, and that makes the limitation of this paper, as there is a possibility that some of the factors identified may not hold same significance in other countries.
Practical implications Stakeholders will understand the critical factors that are important in developing sustainable ecosystem for IASs and what should be the possible order of activities corresponding to each CSF.
Originality/value The paper is the first of its kind that has used the CSF theory and TISM methodology for the identification and prioritization of CSFs in developing IASs. Further, eight significant factors, that is, emerging economy multinational enterprises (EMNEs), governance, utility, manpower, capital, software, data and hardware, have come up as the most important factors in integrating AI with robotics in India.
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Papers by swapnil sharma
With this study, we attempt to explore how governments can ensure accountability by design and policy, i.e., Digital Accountability in these websites or platforms that are going to act as a one-stop shop for citizens regarding government services. We have taken a multi-method approach to explore the various constituent factors that help build up accountability in any e-government process or websites delivering web services. Best Worst Method (BWM) is employed to find the relative weights of these factors in the chosen context. These are validated using qualitative techniques of Total Interpretative structural modelling, and the Matrix of Cross Impact Multiplications Applied to Classification (TISM-MICMAC). We have also attempted to explore the contextual relationships between these factors and how do they help conceptualise and operationalise digital accountability for e-governance.
This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI) with robotics. It suggests a prioritization hierarchy model for building sustainable ecosystem for developing IASs.
Design/methodology/approach
This paper is based on the existing literature and on the opinion of 15 experts. All the experts have minimum of eight years of experience in AI and related technologies. The CSF theory is used as a theoretical lens and total interpretative structure modelling (TISM) is used for the prioritization of CSFs.
Findings
Developing countries like India could leverage IASs and associated technologies for solving different societal problems. Policymakers need to develop basic policies regarding data collection, standardized hardware, skilled manpower, funding and start-up culture that can act as building blocks in undertaking sustainable ecosystem for developing IASs and implementing national AI strategy. Clear-cut regulations need to be in place for the proper functioning of the ecosystem. Any technology that can function properly in India has better chances of working at the global level considering the size of the population.
Research limitations/implications
This paper had all its experts from India only, and that makes the limitation of this paper, as there is a possibility that some of the factors identified may not hold same significance in other countries.
Practical implications
Stakeholders will understand the critical factors that are important in developing sustainable ecosystem for IASs and what should be the possible order of activities corresponding to each CSF.
Originality/value
The paper is the first of its kind that has used the CSF theory and TISM methodology for the identification and prioritization of CSFs in developing IASs. Further, eight significant factors, that is, emerging economy multinational enterprises (EMNEs), governance, utility, manpower, capital, software, data and hardware, have come up as the most important factors in integrating AI with robotics in India.
With this study, we attempt to explore how governments can ensure accountability by design and policy, i.e., Digital Accountability in these websites or platforms that are going to act as a one-stop shop for citizens regarding government services. We have taken a multi-method approach to explore the various constituent factors that help build up accountability in any e-government process or websites delivering web services. Best Worst Method (BWM) is employed to find the relative weights of these factors in the chosen context. These are validated using qualitative techniques of Total Interpretative structural modelling, and the Matrix of Cross Impact Multiplications Applied to Classification (TISM-MICMAC). We have also attempted to explore the contextual relationships between these factors and how do they help conceptualise and operationalise digital accountability for e-governance.
This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI) with robotics. It suggests a prioritization hierarchy model for building sustainable ecosystem for developing IASs.
Design/methodology/approach
This paper is based on the existing literature and on the opinion of 15 experts. All the experts have minimum of eight years of experience in AI and related technologies. The CSF theory is used as a theoretical lens and total interpretative structure modelling (TISM) is used for the prioritization of CSFs.
Findings
Developing countries like India could leverage IASs and associated technologies for solving different societal problems. Policymakers need to develop basic policies regarding data collection, standardized hardware, skilled manpower, funding and start-up culture that can act as building blocks in undertaking sustainable ecosystem for developing IASs and implementing national AI strategy. Clear-cut regulations need to be in place for the proper functioning of the ecosystem. Any technology that can function properly in India has better chances of working at the global level considering the size of the population.
Research limitations/implications
This paper had all its experts from India only, and that makes the limitation of this paper, as there is a possibility that some of the factors identified may not hold same significance in other countries.
Practical implications
Stakeholders will understand the critical factors that are important in developing sustainable ecosystem for IASs and what should be the possible order of activities corresponding to each CSF.
Originality/value
The paper is the first of its kind that has used the CSF theory and TISM methodology for the identification and prioritization of CSFs in developing IASs. Further, eight significant factors, that is, emerging economy multinational enterprises (EMNEs), governance, utility, manpower, capital, software, data and hardware, have come up as the most important factors in integrating AI with robotics in India.