Browsing by Author "Nikiforova, Anastasija"

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    Integration of artificial intelligence of things (AIoT) in the public sector: drivers, barriers and future research agenda
    (Emerald, 2022) Ishengoma, Fredrick R.; Shao, Deo; Alexopoulos, Charalampos; Saxena, Stuti; Nikiforova, Anastasija
    Purpose With the development of information technology (IT), governments around the globe are using state-of-the-art IT interfaces to implement the so-called 3E’s in public service delivery, that is, economy, efficiency and effectiveness. Two of these IT interfaces relate to Artificial Intelligence (AI) and Internet of Things (IoT). While AI focuses on providing a “human” garb for computing devices, thereby making them “intelligent” devices, IoT relies on interfaces between sensors and the environment to make “intelligent” decisions. Recently, the convergence of AI and IoT – also referred to as Artificial Intelligence of Things (AIoT) – is seen as a real opportunity to refurbish the public service delivery formats. However, there is limited understanding as to how AIoT could contribute to the improvisation of public service delivery. This study aims to create a modular framework for AIoT in addition to highlighting the drivers and barriers for its integration in the public sector. Design/methodology/approach- This descriptive-explanatory study takes a qualitative approach. It entails a thorough examination of the drivers and barriers of integrating AI and IoT in the public sector. A review of literature has led to the development of a conceptual framework outlining the various factors that contribute to creating public value. Findings- Value creation occurs when AI and IoT coalesce in the public service delivery mechanisms. Originality/value AIoT is a cutting-edge technology revolutionizing health care, agriculture, infrastructure and all other industrial domains. This study adds to the growing body of knowledge on the public sector's use of AI and IoT. Understanding these disruptive technologies is critical to formulating policies and regulations that can maximize the potential benefits for the public-sector organizations.
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    Integration of artificial intelligence of things (AIoT) in the public sector: drivers, barriers and future research agenda
    (Emerald Publishing Limited, 2022) Ishengoma, Fredrick, R; Shao, Deo; Alexopoulos, Charalampos; Saxena, Stuti; Nikiforova, Anastasija
    Purpose – With the development of information technology (IT), governments around the globe are using state-of-the-art IT interfaces to implement the so-called 3E’s in public service delivery, that is, economy, efficiency and effectiveness. Two of these IT interfaces relate to Artificial Intelligence (AI) and Internet of Things (IoT). While AI focuses on providing a ‘‘human’’ garb for computing devices, thereby making them ‘‘intelligent’’ devices, IoT relies on interfaces between sensors and the environment to make ‘‘intelligent’’ decisions. Recently, the convergence of AI and IoT – also referred to as Artificial Intelligence of Things (AIoT) – is seen as a real opportunity to refurbish the public service delivery formats. However, there is limited understanding as to how AIoT could contribute to the improvisation of public service delivery. This study aims to create a modular framework for AIoT in addition to highlighting the drivers and barriers for its integration in the public sector. Design/methodology/approach – This descriptive-explanatory study takes a qualitative approach. It entails a thorough examination of the drivers and barriers of integrating AI and IoT in the public sector. A review of literature has led to the development of a conceptual framework outlining the various factors that contribute to creating public value. Findings – Value creation occurs when AI and IoT coalesce in the public service delivery mechanisms. Originality/value – AIoT is a cutting-edge technology revolutionizing health care, agriculture, infrastructure and all other industrial domains. This study adds to the growing body of knowledge on the public sector’s use of AI and IoT. Understanding these disruptive technologies is critical to formulating policies and regulations that can maximize the potential benefits for the public-sector organizations.
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    Integration of IoT into e-government
    (Emerald, 2023) Shao, Deo; Ishengoma, Fredrick R.; Alexopoulos, Charalampos; Saxena, Stuti; Nikiforova, Anastasija; Matheus, Ricardo
    Purpose The purpose of this paper is to highlight the drivers, barriers, benefits and risks affecting the integration of Internet of Things (IoT) into the e-government and to provide a future research agenda. Design/methodology/approach Existing literature examining the relationships between e-government and IoT is scanned and evaluated by conceptualizing the IoT concept in the e-government perspective. Findings The study shows that there are drivers to integrate IoT in e-government, such as ensuring the economy, efficiency and effectiveness of government operations, which would largely establish a relationship between the government and the citizens. Furthermore, there are barriers to such integration, given the lack of political will, the appropriate information technology infrastructure, the training of the stakeholders with a focus on the employee and the like. Originality/value The integration of IoT in e-government is a novel and weakly explored concept, particularly in the light of new advances such as blockchain in the e-government, which requires further exploration and conceptualization, thereby achieving a shared/common vision and body of knowledge for its further successful and sustainable adoption – to the best of the authors’ knowledge, the current study is one of these initial attempts.
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    Invoking blockchain technology in e-government services: a cybernetic perspective
    (Emerald, 2022) Saxena, Stuti; Shao, Deo; Nikiforova, Anastasija; Thapliyal, Richa
    Purpose This paper aims to provide insights into the integration of blockchain technology in e-government services. Design/methodology/approach The article invokes an exploratory approach to emphasize the possibilities of integrating blockchain technology in e-government services. A cybernetic model is detailed in the paper for bridging the gulf between blockchain and e-government. Findings The integration of blockchain technology in e-government services is capable of enhancing the efficiency and effectiveness of service delivery. Furthermore, this integration would facilitate in maintaining the privacy of the online transactions. Originality/value Hitherto, studies have focused on the blockchain technology in many sectors; however, the integration and utility of blockchain technology for the government sector have remained unexplored. The current study seeks to fill this gap.