A. P. Chokki, C. Alexopoulos, Stuti Saxena, Benoît Frénay, B. Vanderose, Mohsan Ali
Purpose The study seeks to investigate the quality of metadata associated with the open government data (OGD) portals of the six Gulf Cooperation Council (GCC) constituents – Bahrain (BH), Kuwait (KW), Oman (OM), Qatar (QA), Kingdom of Saudi Arabia (KSA) and United Arab Emirates (UAE). Design/methodology/approach A quantitative framework, supported by extant literature, is adopted to assess the metadata quality of the six OGD portals of the GCC constituents. Findings Among the six GCC countries, QA has the most advanced OGD metadata quality followed by KSA, UAE, OM, BH and KW. Furthermore, the OGD metadata quality (MQ) of UAE and OM stand at the same pedestal whereas BH and KW OGD portals are lagging behind. Originality/value While the OGD quality has been investigated in extant literature, the MQ of the OGD portals for the GCC countries has not been investigated so far – the present study seeks to plug this gap.
{"title":"Metadata quality matters in open government data (OGD) evaluation! An empirical investigation of OGD portals of the GCC constituents","authors":"A. P. Chokki, C. Alexopoulos, Stuti Saxena, Benoît Frénay, B. Vanderose, Mohsan Ali","doi":"10.1108/tg-09-2022-0118","DOIUrl":"https://doi.org/10.1108/tg-09-2022-0118","url":null,"abstract":"\u0000Purpose\u0000The study seeks to investigate the quality of metadata associated with the open government data (OGD) portals of the six Gulf Cooperation Council (GCC) constituents – Bahrain (BH), Kuwait (KW), Oman (OM), Qatar (QA), Kingdom of Saudi Arabia (KSA) and United Arab Emirates (UAE).\u0000\u0000\u0000Design/methodology/approach\u0000A quantitative framework, supported by extant literature, is adopted to assess the metadata quality of the six OGD portals of the GCC constituents.\u0000\u0000\u0000Findings\u0000Among the six GCC countries, QA has the most advanced OGD metadata quality followed by KSA, UAE, OM, BH and KW. Furthermore, the OGD metadata quality (MQ) of UAE and OM stand at the same pedestal whereas BH and KW OGD portals are lagging behind.\u0000\u0000\u0000Originality/value\u0000While the OGD quality has been investigated in extant literature, the MQ of the OGD portals for the GCC countries has not been investigated so far – the present study seeks to plug this gap.\u0000","PeriodicalId":51696,"journal":{"name":"Transforming Government- People Process and Policy","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49111364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose In the context of digital public governance of the 21st century, recommender systems serve as a digital tool to support decision-making and shift toward proactive public services delivery. This paper aims to synthesize an algorithm for public recommender systems deployment coherent with the digital transformation of public services in three Russian regions: the City of Moscow, Moscow region and Astrakhan region. Design/methodology/approach The studied regions serve as an adequate representation of the country’s population coverage carrying, at the same time, diversity of public governance structures in qualitative and quantitative terms. Thus, the authors were able to retrieve both commonalities and particularities in locally applied policies to create an algorithm model for governance high-tech decision support systems (DSS) deployment in management terms. Therefore, the authors use structural and functional analysis to derive the matters for further induction into our algorithmic model. Findings The proposed algorithmic model is developed under the framework of automated verification of current public service delivery mechanisms. The practical application of recommendation systems as a special case of DSS is shown in the example of public service delivery. It is assumed that following the developed algorithm leads to the “digital maturity” of a particular sector of public governance. Originality/value The paper holds a novel look at public services digital transformation through the application of recommender systems, which is evidenced by the algorithmic model approbation on the theoretical level.
{"title":"Algorithmic modeling of public recommender systems: insights from selected cities","authors":"S. Kamolov, Nikita Aleksandrov","doi":"10.1108/tg-02-2022-0025","DOIUrl":"https://doi.org/10.1108/tg-02-2022-0025","url":null,"abstract":"\u0000Purpose\u0000In the context of digital public governance of the 21st century, recommender systems serve as a digital tool to support decision-making and shift toward proactive public services delivery. This paper aims to synthesize an algorithm for public recommender systems deployment coherent with the digital transformation of public services in three Russian regions: the City of Moscow, Moscow region and Astrakhan region.\u0000\u0000\u0000Design/methodology/approach\u0000The studied regions serve as an adequate representation of the country’s population coverage carrying, at the same time, diversity of public governance structures in qualitative and quantitative terms. Thus, the authors were able to retrieve both commonalities and particularities in locally applied policies to create an algorithm model for governance high-tech decision support systems (DSS) deployment in management terms. Therefore, the authors use structural and functional analysis to derive the matters for further induction into our algorithmic model.\u0000\u0000\u0000Findings\u0000The proposed algorithmic model is developed under the framework of automated verification of current public service delivery mechanisms. The practical application of recommendation systems as a special case of DSS is shown in the example of public service delivery. It is assumed that following the developed algorithm leads to the “digital maturity” of a particular sector of public governance.\u0000\u0000\u0000Originality/value\u0000The paper holds a novel look at public services digital transformation through the application of recommender systems, which is evidenced by the algorithmic model approbation on the theoretical level.\u0000","PeriodicalId":51696,"journal":{"name":"Transforming Government- People Process and Policy","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45300495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose Corruption within the Nigerian Government – at all levels – is endemic and a major problem. While there is ample evidence to buttress this fact, its effects are having a negative impact on the ability of the government to meet its agreed UN sustainable development targets, as well as the credibility of the government (nationally and internationally), and its ability to deliver on quality governance. Hence, this study aims to identify the power of digital transformation in curbing corruption and improving governance for sustainable development. Design/methodology/approach A mixed method that encompasses the use of a systematic literature review and a bibliometric analysis was used to examine extant literatures – to derive lessons for the Nigerian Government and governments in other developing countries (most especially those in Sub-Saharan Africa). Findings The results obtained within this study show that digital transformation – brought by the fourth industrial revolution – is a verified solution to improving transparency and accountability in governance. However, the current technological infrastructure in Nigeria is too weak to support this innovation. Key infrastructures like high-speed internet, a harmonized data storage system, and communications among government organizations rarely exist. Originality/value To the best of the authors’ knowledge, the approach used in this research is unique as it is one of the earliest studies to provide a viable solution to the issue of corruption in public governance in Nigeria, while examining the effects of the digital transformation of governance globally.
{"title":"Can digital transformation improve transparency and accountability of public governance in Nigeria?","authors":"Temitayo Shenkoya","doi":"10.1108/tg-08-2022-0115","DOIUrl":"https://doi.org/10.1108/tg-08-2022-0115","url":null,"abstract":"\u0000Purpose\u0000Corruption within the Nigerian Government – at all levels – is endemic and a major problem. While there is ample evidence to buttress this fact, its effects are having a negative impact on the ability of the government to meet its agreed UN sustainable development targets, as well as the credibility of the government (nationally and internationally), and its ability to deliver on quality governance. Hence, this study aims to identify the power of digital transformation in curbing corruption and improving governance for sustainable development.\u0000\u0000\u0000Design/methodology/approach\u0000A mixed method that encompasses the use of a systematic literature review and a bibliometric analysis was used to examine extant literatures – to derive lessons for the Nigerian Government and governments in other developing countries (most especially those in Sub-Saharan Africa).\u0000\u0000\u0000Findings\u0000The results obtained within this study show that digital transformation – brought by the fourth industrial revolution – is a verified solution to improving transparency and accountability in governance. However, the current technological infrastructure in Nigeria is too weak to support this innovation. Key infrastructures like high-speed internet, a harmonized data storage system, and communications among government organizations rarely exist.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, the approach used in this research is unique as it is one of the earliest studies to provide a viable solution to the issue of corruption in public governance in Nigeria, while examining the effects of the digital transformation of governance globally.\u0000","PeriodicalId":51696,"journal":{"name":"Transforming Government- People Process and Policy","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45842416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Farah Adilla Ab. Rahman, N. Mohd Suki, Mohd Idham Mohd Yusof, Radduan Yusof
Purpose This study aims to explore residents’ trust in local government councils and to examine the effect of political efficacy and good governance on that trust and on the performance of local government councils in an emerging nation. Design/methodology/approach Data were analysed using qualitative and quantitative research designs. Firstly, a thematic analysis was performed to explore residents’ trust in local government councils and compare it with the data gathered in the literature review. Thereafter, a partial least squares-structural equation modelling (PLS-SEM) approach was used to investigate the hypothesised linkages. Findings The thematic analysis of the face-to-face semi-structured interviews discovered four themes (trust, performance, political efficacy and good governance). Additional analysis of these themes via the PLS-SEM approach revealed good governance to be the most influential factor in promoting residents’ trust in local government councils. Political efficacy was the second most influential factor. Residents expect local government councils’ officers to demonstrate a strong commitment to the rule of law and comply with all relevant laws and regulations. Practical implications Local government councils should openly accept residents’ requests and suggestions, be more flexible in policy delivery and be responsive to policy demands given the relatively small constituencies and greater policy latitudes. Multiple avenues should be available for interaction between residents and local government councils in the mission to achieve sustainable urban growth. Originality/value This study is unique in that it advances existing research that is lacking in the context of the Malaysian local government council. The result alerts are crucial in that they alert local government councils to the need for high levels of governance and accountability in terms of resident support to gain more trust and confidence.
{"title":"Residents’ trust in local government councils in an emerging nation: effect of political efficacy, good governance and performance","authors":"Farah Adilla Ab. Rahman, N. Mohd Suki, Mohd Idham Mohd Yusof, Radduan Yusof","doi":"10.1108/tg-02-2022-0015","DOIUrl":"https://doi.org/10.1108/tg-02-2022-0015","url":null,"abstract":"\u0000Purpose\u0000This study aims to explore residents’ trust in local government councils and to examine the effect of political efficacy and good governance on that trust and on the performance of local government councils in an emerging nation.\u0000\u0000\u0000Design/methodology/approach\u0000Data were analysed using qualitative and quantitative research designs. Firstly, a thematic analysis was performed to explore residents’ trust in local government councils and compare it with the data gathered in the literature review. Thereafter, a partial least squares-structural equation modelling (PLS-SEM) approach was used to investigate the hypothesised linkages.\u0000\u0000\u0000Findings\u0000The thematic analysis of the face-to-face semi-structured interviews discovered four themes (trust, performance, political efficacy and good governance). Additional analysis of these themes via the PLS-SEM approach revealed good governance to be the most influential factor in promoting residents’ trust in local government councils. Political efficacy was the second most influential factor. Residents expect local government councils’ officers to demonstrate a strong commitment to the rule of law and comply with all relevant laws and regulations.\u0000\u0000\u0000Practical implications\u0000Local government councils should openly accept residents’ requests and suggestions, be more flexible in policy delivery and be responsive to policy demands given the relatively small constituencies and greater policy latitudes. Multiple avenues should be available for interaction between residents and local government councils in the mission to achieve sustainable urban growth.\u0000\u0000\u0000Originality/value\u0000This study is unique in that it advances existing research that is lacking in the context of the Malaysian local government council. The result alerts are crucial in that they alert local government councils to the need for high levels of governance and accountability in terms of resident support to gain more trust and confidence.\u0000","PeriodicalId":51696,"journal":{"name":"Transforming Government- People Process and Policy","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43806946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose The purpose of this study is to investigate the continuance intention of using e-government services in Tanzania as well as moderating effects of system interactivity. Design/methodology/approach A research model based on expectancy confirmation model was developed and empirically tested using 213 data collected from e-government services users who were selected using the judgemental sampling technique. The variance-based structural equation modelling technique was used for data analysis using SmartPLS 3.0. Findings The results of this study suggest that system interactivity, computer self-efficacy, management support, confirmation, satisfaction and perceived usefulness have a positive and significant influence on continuance intention to use e-government services. Moreover, the findings of this study indicate that system interactivity moderates the influence of perceived usefulness and satisfaction on continuance intention. Originality/value This study extends the expectancy confirmation model with system interactivity, management support and computer self-efficacy which are considered as important factors in continuance usage of technology. Furthermore, this study examines the moderating effect of system interactivity on the effects of perceived usefulness and satisfaction on continuance intention.
{"title":"Determinants of continuance intention of using e-government services in Tanzania: the role of system interactivity as moderating factor","authors":"H. Mandari, D. Koloseni","doi":"10.1108/tg-05-2022-0077","DOIUrl":"https://doi.org/10.1108/tg-05-2022-0077","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to investigate the continuance intention of using e-government services in Tanzania as well as moderating effects of system interactivity.\u0000\u0000\u0000Design/methodology/approach\u0000A research model based on expectancy confirmation model was developed and empirically tested using 213 data collected from e-government services users who were selected using the judgemental sampling technique. The variance-based structural equation modelling technique was used for data analysis using SmartPLS 3.0.\u0000\u0000\u0000Findings\u0000The results of this study suggest that system interactivity, computer self-efficacy, management support, confirmation, satisfaction and perceived usefulness have a positive and significant influence on continuance intention to use e-government services. Moreover, the findings of this study indicate that system interactivity moderates the influence of perceived usefulness and satisfaction on continuance intention.\u0000\u0000\u0000Originality/value\u0000This study extends the expectancy confirmation model with system interactivity, management support and computer self-efficacy which are considered as important factors in continuance usage of technology. Furthermore, this study examines the moderating effect of system interactivity on the effects of perceived usefulness and satisfaction on continuance intention.\u0000","PeriodicalId":51696,"journal":{"name":"Transforming Government- People Process and Policy","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49170333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose This study aims to identify the level of political participation of local citizen in 208 districts representing for 63 provinces and cities in Vietnam and consider the effects of candidate's attributes, local political contextual factors and other local citizen’s demographic characteristics on the elections of local leaders in Vietnam. Design/methodology/approach By using Probit model and data about provincial governance and public administration performance index and self-survey about local leaders in the districts, this paper shows the different effects of candidates’ attributes, local political context and other local citizen’s characteristics on the first and second elections of local leaders in Vietnam. Findings The result indicates the probability of candidates being elected in the first term depends on their characteristics, local political context and local citizen. However, the reelection of local leaders for a second term depends much on their characteristics and local political context not on demographic characteristics of local citizen. The satisfaction rate of local citizen and being an incumbent for the first term are driving forces for the local citizen to elect their leader for the second term. Meanwhile, local political context such as local transparency, local official development assistance project and citizen satisfaction will increase the likelihood of local leaders being elected for the first and second terms. Research limitations/implications The major limitation of this study is the data of the self-survey because it only provides basic but not complete characteristics of candidates and local contexts in some typical districts in 63 provinces and cities across the country. Practical implications This paper includes policy implications for candidates who want to be elected for both terms and local governance in Vietnam. The government needs to focus on building human resources for local administration to meet the requirements of building a clean, strong, modern and anticorruption administrative system. Originality/value This paper extends the analysis on examining the characteristics of candidates and local citizen as well as local political context influencing the elections of local leaders, getting involved in the Vietnam context, still underresearched, especially with reference to political participation of local citizen.
{"title":"The political participation of local citizen in the elections of local leaders in Vietnam","authors":"T. Nguyễn, Thi Phuong Quynh Nguyen","doi":"10.1108/tg-01-2022-0008","DOIUrl":"https://doi.org/10.1108/tg-01-2022-0008","url":null,"abstract":"\u0000Purpose\u0000This study aims to identify the level of political participation of local citizen in 208 districts representing for 63 provinces and cities in Vietnam and consider the effects of candidate's attributes, local political contextual factors and other local citizen’s demographic characteristics on the elections of local leaders in Vietnam.\u0000\u0000\u0000Design/methodology/approach\u0000By using Probit model and data about provincial governance and public administration performance index and self-survey about local leaders in the districts, this paper shows the different effects of candidates’ attributes, local political context and other local citizen’s characteristics on the first and second elections of local leaders in Vietnam.\u0000\u0000\u0000Findings\u0000The result indicates the probability of candidates being elected in the first term depends on their characteristics, local political context and local citizen. However, the reelection of local leaders for a second term depends much on their characteristics and local political context not on demographic characteristics of local citizen. The satisfaction rate of local citizen and being an incumbent for the first term are driving forces for the local citizen to elect their leader for the second term. Meanwhile, local political context such as local transparency, local official development assistance project and citizen satisfaction will increase the likelihood of local leaders being elected for the first and second terms.\u0000\u0000\u0000Research limitations/implications\u0000The major limitation of this study is the data of the self-survey because it only provides basic but not complete characteristics of candidates and local contexts in some typical districts in 63 provinces and cities across the country.\u0000\u0000\u0000Practical implications\u0000This paper includes policy implications for candidates who want to be elected for both terms and local governance in Vietnam. The government needs to focus on building human resources for local administration to meet the requirements of building a clean, strong, modern and anticorruption administrative system.\u0000\u0000\u0000Originality/value\u0000This paper extends the analysis on examining the characteristics of candidates and local citizen as well as local political context influencing the elections of local leaders, getting involved in the Vietnam context, still underresearched, especially with reference to political participation of local citizen.\u0000","PeriodicalId":51696,"journal":{"name":"Transforming Government- People Process and Policy","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43136358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lukasz Porwol, Agustin Garcia Pereira, Catherine L. Dumas
Purpose The purpose of this study is to explore whether immersive virtual reality (VR) can complement e-participation and help alleviate some major obstacles that hinder effective communication and collaboration. Immersive virtual reality (VR) can complement e-participation and help alleviate some major obstacles hindering effective communication and collaboration. VR technologies boost discussion participants' sense of presence and immersion; however, studying emerging VR technologies for their applicability to e-participation is challenging because of the lack of affordable and accessible infrastructures. In this paper, the authors present a novel framework for analyzing serious social VR engagements in the context of e-participation. Design/methodology/approach The authors propose a novel approach for artificial intelligence (AI)-supported, data-driven analysis of group engagements in immersive VR environments as an enabler for next-gen e-participation research. The authors propose a machine-learning-based VR interactions log analytics infrastructure to identify behavioral patterns. This paper includes features engineering to classify VR collaboration scenarios in four simulated e-participation engagements and a quantitative evaluation of the proposed approach performance. Findings The authors link theoretical dimensions of e-participation online interactions with specific user-behavioral patterns in VR engagements. The AI-powered immersive VR analytics infrastructure demonstrated good performance in automatically classifying behavioral scenarios in simulated e-participation engagements and the authors showed novel insights into the importance of specific features to perform this classification. The authors argue that our framework can be extended with more features and can cover additional patterns to enable future e-participation immersive VR research. Research limitations/implications This research emphasizes technical means of supporting future e-participation research with a focus on immersive VR technologies as an enabler. This is the very first use-case for using this AI and data-driven infrastructure for real-time analytics in e-participation, and the authors plan to conduct more comprehensive studies using the same infrastructure. Practical implications The authors’ platform is ready to be used by researchers around the world. The authors have already received interest from researchers in the USA (Harvard University) and Israel and run collaborative online sessions. Social implications The authors enable easy cloud access and simultaneous research session hosting 24/7 anywhere in the world at a very limited cost to e-participation researchers. Originality/value To the best of the authors’ knowledge, this is the very first attempt at building a dedicated AI-driven VR analytics infrastructure to study online e-participation engagements.
{"title":"Transforming e-participation: VR-dialogue – building and evaluating an AI-supported framework for next-gen VR-enabled e-participation research","authors":"Lukasz Porwol, Agustin Garcia Pereira, Catherine L. Dumas","doi":"10.1108/tg-12-2021-0205","DOIUrl":"https://doi.org/10.1108/tg-12-2021-0205","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to explore whether immersive virtual reality (VR) can complement e-participation and help alleviate some major obstacles that hinder effective communication and collaboration. Immersive virtual reality (VR) can complement e-participation and help alleviate some major obstacles hindering effective communication and collaboration. VR technologies boost discussion participants' sense of presence and immersion; however, studying emerging VR technologies for their applicability to e-participation is challenging because of the lack of affordable and accessible infrastructures. In this paper, the authors present a novel framework for analyzing serious social VR engagements in the context of e-participation.\u0000\u0000\u0000Design/methodology/approach\u0000The authors propose a novel approach for artificial intelligence (AI)-supported, data-driven analysis of group engagements in immersive VR environments as an enabler for next-gen e-participation research. The authors propose a machine-learning-based VR interactions log analytics infrastructure to identify behavioral patterns. This paper includes features engineering to classify VR collaboration scenarios in four simulated e-participation engagements and a quantitative evaluation of the proposed approach performance.\u0000\u0000\u0000Findings\u0000The authors link theoretical dimensions of e-participation online interactions with specific user-behavioral patterns in VR engagements. The AI-powered immersive VR analytics infrastructure demonstrated good performance in automatically classifying behavioral scenarios in simulated e-participation engagements and the authors showed novel insights into the importance of specific features to perform this classification. The authors argue that our framework can be extended with more features and can cover additional patterns to enable future e-participation immersive VR research.\u0000\u0000\u0000Research limitations/implications\u0000This research emphasizes technical means of supporting future e-participation research with a focus on immersive VR technologies as an enabler. This is the very first use-case for using this AI and data-driven infrastructure for real-time analytics in e-participation, and the authors plan to conduct more comprehensive studies using the same infrastructure.\u0000\u0000\u0000Practical implications\u0000The authors’ platform is ready to be used by researchers around the world. The authors have already received interest from researchers in the USA (Harvard University) and Israel and run collaborative online sessions.\u0000\u0000\u0000Social implications\u0000The authors enable easy cloud access and simultaneous research session hosting 24/7 anywhere in the world at a very limited cost to e-participation researchers.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this is the very first attempt at building a dedicated AI-driven VR analytics infrastructure to study online e-participation engagements.\u0000","PeriodicalId":51696,"journal":{"name":"Transforming Government- People Process and Policy","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46661216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose In the context of the debate on ensuring health-care efficiency, this study aims to identify and prioritize factors and subfactors that influence organizational effectiveness (OE) in the health-care supply chain. Design/methodology/approach For the purpose of this qualitative study, triangulation was applied to identify, explore and systematically analyze the OE-related practices used by diverse stakeholders along the health-care supply chain. Sixty-two OE practices were thus identified. Subsequently, these were grouped in six different nodes before the analytical hierarchical process (AHP) was used to identify the weightings of specific practices (and related factors) and their impact on OE. Findings The findings suggest that external factors associated with government regulation, including government directives and branding, are the most critical factors that influence OE-related practices, while cost-related factors are the least important. Originality/value The originality of this study derives from the introduction of system theory supported by a modified supplier-input-process-output-customer (SIPOC) framework. Two important factors – government regulation and branding – have been introduced to the existing SIPOC chart as a valuable process structure for the health-care chain.
{"title":"Government regulation and organizational effectiveness in the health-care supply chain","authors":"M. Hussain, S. Ahmad, Anna Visvizi","doi":"10.1108/tg-06-2022-0090","DOIUrl":"https://doi.org/10.1108/tg-06-2022-0090","url":null,"abstract":"\u0000Purpose\u0000In the context of the debate on ensuring health-care efficiency, this study aims to identify and prioritize factors and subfactors that influence organizational effectiveness (OE) in the health-care supply chain.\u0000\u0000\u0000Design/methodology/approach\u0000For the purpose of this qualitative study, triangulation was applied to identify, explore and systematically analyze the OE-related practices used by diverse stakeholders along the health-care supply chain. Sixty-two OE practices were thus identified. Subsequently, these were grouped in six different nodes before the analytical hierarchical process (AHP) was used to identify the weightings of specific practices (and related factors) and their impact on OE.\u0000\u0000\u0000Findings\u0000The findings suggest that external factors associated with government regulation, including government directives and branding, are the most critical factors that influence OE-related practices, while cost-related factors are the least important.\u0000\u0000\u0000Originality/value\u0000The originality of this study derives from the introduction of system theory supported by a modified supplier-input-process-output-customer (SIPOC) framework. Two important factors – government regulation and branding – have been introduced to the existing SIPOC chart as a valuable process structure for the health-care chain.\u0000","PeriodicalId":51696,"journal":{"name":"Transforming Government- People Process and Policy","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44063188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose This study aims to study the role of co-production among heterogenous actors to achieve a digital transformation for public service delivery. The importance of building legitimacy and public value creation during the journey of adopting new technology is mainly discussed through analyzing the case of blockchain-based decentralized identity (DID) in South Korea (Korea). Design/methodology/approach Using a qualitative method, the conceptual framework for this study draws on public value theory that highlights co-production approaches on adoption and diffusion of new information system. Findings The results of this study provide empirical support for the claim that co-constructive and cross-sector partnership is critical to the adoption of blockchain-based DID and to maximize the value-in-use and increase citizens’ participation. Originality/value This study suggests a new perspective, which contributes to the information system literature and the phenomenological analysis by investigating co-constructive partnership among cross-sector organizations through the legitimacy-building process, which has not been much empirically researched.
{"title":"Decentralized identity (DID): new technology adoption and diffusion in South Korea","authors":"HeeJung Rim","doi":"10.1108/tg-11-2021-0189","DOIUrl":"https://doi.org/10.1108/tg-11-2021-0189","url":null,"abstract":"\u0000Purpose\u0000This study aims to study the role of co-production among heterogenous actors to achieve a digital transformation for public service delivery. The importance of building legitimacy and public value creation during the journey of adopting new technology is mainly discussed through analyzing the case of blockchain-based decentralized identity (DID) in South Korea (Korea).\u0000\u0000\u0000Design/methodology/approach\u0000Using a qualitative method, the conceptual framework for this study draws on public value theory that highlights co-production approaches on adoption and diffusion of new information system.\u0000\u0000\u0000Findings\u0000The results of this study provide empirical support for the claim that co-constructive and cross-sector partnership is critical to the adoption of blockchain-based DID and to maximize the value-in-use and increase citizens’ participation.\u0000\u0000\u0000Originality/value\u0000This study suggests a new perspective, which contributes to the information system literature and the phenomenological analysis by investigating co-constructive partnership among cross-sector organizations through the legitimacy-building process, which has not been much empirically researched.\u0000","PeriodicalId":51696,"journal":{"name":"Transforming Government- People Process and Policy","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47528225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mariana Bailao Goncalves, M. Anastasiadou, Vítor Santos
Purpose The number of candidates applying to public contests (PC) is increasing compared to the number of human resources employees required for selecting them for the Police Force (PF). This work intends to perceive how those public institutions can evaluate and select their candidates efficiently during the different phases of the recruitment process. To achieve this purpose, artificial intelligence (AI) was studied. This paper aims to focus on analysing the AI technologies most used and appropriate to the PF as a complementary recruitment strategy of the National Criminal Investigation police agency of Portugal – Polícia Judiciária. Design/methodology/approach Using design science research as a methodological approach, the authors suggest a theoretical framework in pair with the segmentation of the candidates and comprehend the most important facts facing public institutions regarding the usage of AI technologies to make decisions about evaluating and selecting candidates. Following the preferred reporting items for systematic reviews and meta-analyses methodology guidelines, a systematic literature review and meta-analyses method was adopted to identify how the usage and exploitation of transparent AI positively impact the recruitment process of a public institution, resulting in an analysis of 34 papers between 2017 and 2021. Findings Results suggest that the conceptual pairing of evaluation and selection problems of candidates who apply to PC with applicable AI technology such as K-means, hierarchical clustering, artificial neural network and convolutional neural network algorithms can support the recruitment process and could help reduce the workload in the entire process while maintaining the standard of responsibility. The combination of AI and human decision-making is a fair, objective and unbiased process emphasising a decision-making process free of nepotism and favouritism when carefully developed. Innovative and modern as a category, group the statements that emphasise the innovative and contemporary nature of the process. Research limitations/implications There are two main limitations in this study that should be considered. Firstly, the difficulty regarding the timetable, privacy and legal issues associated with public institutions. Secondly, a small group of experts served as the validation group for the new framework. Individual semi-structured interviews were conducted to alleviate this constraint. They provide additional insights into an interviewee’s opinions and beliefs. Social implications Ensure that the system is fair, transparent and facilitates their application process. Originality/value The main contribution is the AI-based theoretical framework, applicable within the analysis of literature papers, focusing on the problem of how the institutions can gain insights about their candidates while profiling them, how to obtain more accurate information from the interview phase and how to reach a more rigorous as
{"title":"AI and public contests: a model to improve the evaluation and selection of public contest candidates in the Police Force","authors":"Mariana Bailao Goncalves, M. Anastasiadou, Vítor Santos","doi":"10.1108/tg-05-2022-0078","DOIUrl":"https://doi.org/10.1108/tg-05-2022-0078","url":null,"abstract":"\u0000Purpose\u0000The number of candidates applying to public contests (PC) is increasing compared to the number of human resources employees required for selecting them for the Police Force (PF). This work intends to perceive how those public institutions can evaluate and select their candidates efficiently during the different phases of the recruitment process. To achieve this purpose, artificial intelligence (AI) was studied. This paper aims to focus on analysing the AI technologies most used and appropriate to the PF as a complementary recruitment strategy of the National Criminal Investigation police agency of Portugal – Polícia Judiciária.\u0000\u0000\u0000Design/methodology/approach\u0000Using design science research as a methodological approach, the authors suggest a theoretical framework in pair with the segmentation of the candidates and comprehend the most important facts facing public institutions regarding the usage of AI technologies to make decisions about evaluating and selecting candidates. Following the preferred reporting items for systematic reviews and meta-analyses methodology guidelines, a systematic literature review and meta-analyses method was adopted to identify how the usage and exploitation of transparent AI positively impact the recruitment process of a public institution, resulting in an analysis of 34 papers between 2017 and 2021.\u0000\u0000\u0000Findings\u0000Results suggest that the conceptual pairing of evaluation and selection problems of candidates who apply to PC with applicable AI technology such as K-means, hierarchical clustering, artificial neural network and convolutional neural network algorithms can support the recruitment process and could help reduce the workload in the entire process while maintaining the standard of responsibility. The combination of AI and human decision-making is a fair, objective and unbiased process emphasising a decision-making process free of nepotism and favouritism when carefully developed. Innovative and modern as a category, group the statements that emphasise the innovative and contemporary nature of the process.\u0000\u0000\u0000Research limitations/implications\u0000There are two main limitations in this study that should be considered. Firstly, the difficulty regarding the timetable, privacy and legal issues associated with public institutions. Secondly, a small group of experts served as the validation group for the new framework. Individual semi-structured interviews were conducted to alleviate this constraint. They provide additional insights into an interviewee’s opinions and beliefs.\u0000\u0000\u0000Social implications\u0000Ensure that the system is fair, transparent and facilitates their application process.\u0000\u0000\u0000Originality/value\u0000The main contribution is the AI-based theoretical framework, applicable within the analysis of literature papers, focusing on the problem of how the institutions can gain insights about their candidates while profiling them, how to obtain more accurate information from the interview phase and how to reach a more rigorous as","PeriodicalId":51696,"journal":{"name":"Transforming Government- People Process and Policy","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43352758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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