The use of open government data to citizen empowerment: an empirical validation of a proposed model

foresight ◽  
2018 ◽  
Vol 20 (6) ◽  
pp. 665-680 ◽  
Author(s):  
Md Nahin Hossain ◽  
Md Shamim Talukder ◽  
Md Rakibul Hoque ◽  
Yukun Bao
Keyword(s):  
The Body ◽  
Open Government ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Proposed Model ◽  
Open Government Data ◽  
Citizen Empowerment ◽  
Government Data ◽  
The Impact

Purpose The purpose of this paper is to measure the impact of open government data (OGD) on citizen empowerment. Design/methodology/approach This study advances the body of knowledge on OGD by proposing an integrated research model based on transparency, accountability, participation and collaboration dimensions. The research model was empirically tested using 275 responses using the on-paper survey from the university students and professionals in Bangladesh. Data were analyzed using the structured equation modeling technique. Findings Findings revealed that transparency and participation have a positive and significant direct and indirect influence on citizen empowerment through accountability and collaboration. Overall, the four basic pillars of OGD such as transparency, participation, accountability and collaboration interrelated with each other and have the impact on citizen empowerment. Research limitations/implications This study has proposed an instrument that sums the dimensions of open government, which avoids tautology and redundancy among OGD dimensions. More research should be done to validate the proposed model and the instruments used in this study. Practical implications For the researchers, this study provides a basis for further refinement of individual models of empowerment. For practitioners, understanding the key constructs is crucial to design, refine and implement OGD systems and applications that empower citizens, create public values and strengthen the democratic process. Originality/value This research is the first step that empirically investigates the impact of OGD on citizen empowerment which is the ultimate goals of any democratic government.

Re-using Open Government Data (OGD) published by the Election Commission of India (ECI)

foresight ◽  
2018 ◽  
Vol 20 (5) ◽  
pp. 507-526 ◽  
Author(s):  
Stuti Saxena
Keyword(s):  
Academic Research ◽  
Vote Share ◽  
Open Government ◽  
Party Affiliation ◽  
Content Type ◽  
Demographic Profiles ◽  
Open Government Data ◽  
Government Data ◽  
The Impact ◽  
Election Commission

Purpose The paper aims to “re-use” the Open Government Data (OGD) published by the Election Commission of India (ECI). Bihar’s performance across General Elections, 2014, and Bihar Legislative Assembly Elections, 2015, is compared, wherein the role of contestants’ demographic profiles in determining their vote share is being investigated. Design/methodology/approach Hypotheses are derived based on the impact of contestants’ demographic profiles (age, marital status, social category, political party affiliation, educational qualification, availing telephone and email facility, criminal antecedents) on their vote share. Following a quantitative approach, multiple regression and logistic regression are used to draw inferences from the data contestants’ affidavits – sourced from the ECI website. Findings Results show that contestants’ demographic profiles impact their vote share in the elections. While the ECI website is a viable source for re-using the data available there, data are not available in a user-friendly format and this leads to difficulty in being re-used by different stakeholders. Originality/value Academic research on OGD re-use is negligible, and the present study seeks to contribute towards extant literature by underlining the significance of re-using OGD by drawing inferences from the data accessible via ECI.

The impact of open government data on accountability and transparency

2018 ◽  
Vol 34 (3) ◽  
pp. 204-216 ◽  
Author(s):  
Stuti Saxena ◽  
Irfan Muhammad
Keyword(s):  
Private Sector ◽  
Citizen Participation ◽  
Open Government ◽  
Data Sets ◽  
Structured Interviews ◽  
Content Type ◽  
Open Government Data ◽  
Government Data ◽  
The Government ◽  
The Impact

Purpose Accountability, citizen participation and transparency are the three pillars on which open government data (OGD) is based. As such, OGD implies that the government shall provide data freely via the internet so that the same may be re-used for diverse purposes. It is hoped that by re-using government data, public value shall be co-created and government services might be improved upon with the involvement of different stakeholders. The purpose of this paper is to underline the impact of OGD on accountability and transparency in the context of Pakistan where OGD initiative is taking roots for quite some time now. In the present study, the authors seek to investigate the challenges being faced by the professionals in the private sector and nongovernment organizations (NGOs) in Pakistan. Besides, the authors also seek inputs from the respondents in the manner in which OGD initiative of Pakistan has impact on ensuring accountability and transparency. Design/methodology/approach For conducting the review of the national OGD portal of Pakistan, the authors invoke documentary analysis wherein the authors investigate the features of the national OGD portal of Pakistan. Furthermore, the authors conducted structured interviews with 49 senior management representatives from private sector and NGOs in order to gauge the challenges encountered by them in tapping OGD from diverse online public sources. Findings Respondents aver that robust statistical analysis is not feasible via the data sets being shared by the online sources. More initiatives are required on the part of the government bodies to release the data sets which have remained confined in silos. Government should institutionalize an OGD policy and promote the re-use of OGD by the professionals from diverse backgrounds. At present, only educational data are being shared by the OGD portal of Pakistan and it is important that more data sets are being released in the public domain. Furthermore, the respondents perceive that in a bid to be more accountable and transparent, the government bodies should release data sets via the online channels which are user-friendly. Research limitations/implications The present study conducted a qualitative research where the number of respondents was relatively less. Further research is required by adopting quantitative approach in order to accommodate more respondents and lend reliability to the study. Nevertheless, the study holds implications for academicians and practitioners in the sense that while it is needed that further research be conducted on the OGD initiative of Pakistan, it is imperative that policy makers get involved in institutionalizing the OGD initiative of Pakistan at national and local levels. Social implications Professionals might be better involved in creating and co-creating products and services by tapping OGD. Originality/value Given that OGD initiative in Pakistan is in a nascent stage and research is wanting in exploring the nature and scope of Pakistan’s OGD, the present study seeks to contribute toward the existing OGD literature.

Exploring continuance usage intention toward open government data technologies: an integrated approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Tariqul Islam ◽  
Md. Shamim Talukder ◽  
Abul Khayer ◽  
A.K.M. Najmul Islam
Keyword(s):  
Developing Country ◽  
Structural Equation ◽  
Open Data ◽  
Open Government ◽  
Equation Modeling ◽  
Content Type ◽  
Open Government Data ◽  
Continuance Usage ◽  
Government Data ◽  
Continuance Usage Intention

Purpose Open government data (OGD) is a comparatively new field in e-government and the factors influencing its continuance use by citizens have not been extensively explored. A better understanding of these factors can help the government to articulate strategies and policies that can advance the acceptance and use of OGD technologies. Thus, this paper aims to empirically determine the predictors influencing the continuance usage intention of OGD technologies. Design/methodology/approach Following an empirical investigation among 370 respondents in Bangladesh, a developing country, the paper applied path analysis using the structural equation modeling approach. The unified theory of acceptance and use of the technology model is integrated with the information system continuance model to investigate the continuance usage intention of OGD technologies. Findings The outcomes of this study reveal that performance expectancy, effort expectancy, social influence and facilitating conditions (FC) directly affect users’ satisfaction (SAT). In addition, SAT and FC were found statistically significant toward continuance usage intention of OGD technologies. Practical implications The findings of this study suggest policymaker and OGD providers to formulate or modify their strategies to retain the existing OGD users and stimulate persistence usage. Social implications Facilitating long-term use by citizens would increase their engagement and they might derive value from the OGD platforms. Concurrently, the government’s objective of ensuring increased future use of OGD technologies would be better realized. Originality/value The novelty of this study lies in the fact that it addresses a previously overlooked area of open data research, namely, the acceptance and use of open data technologies and ways to stimulate it. This study has contributed to the existing but limited literature on continuance usage intention of OGD technologies in the context of a developing country.

Assessment of knowledge process capabilities toward project management maturity: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adnan Alghail ◽  
Liu Yao ◽  
Mohammed Abbas ◽  
Yahia Baashar
Keyword(s):  
Knowledge Management ◽  
Project Management ◽  
Public Universities ◽  
Equation Modeling ◽  
Success Factor ◽  
Research Model ◽  
Maturity Level ◽  
Knowledge Process ◽  
Content Type ◽  
The Impact

Purpose The reasons behind the project management failure of higher education institutions (HEIs) have been researched for the past few years. One of the reasons is the lack of tools to integrate their knowledge process capabilities (KPC) with their project management (PM) to measure maturity by assessing these capabilities. Various project management maturity (PMM) models exist. Yet, there is a limited number of empirical studies that support the four integrations of KPC and PMM. Therefore, this study aims to propose a new heretical model, namely, KPC-knowledge management (KM) and evaluates a research model that includes the four KPC as an antecedent to PMM. Design/methodology/approach The suggested research model is assessed by using partial least squares structural equation modeling. Furthermore, the study's hypotheses were examined based on a sample of 352 respondents from the project management departments in 10 public universities in Yemen. Findings Analysis revealed that the derived PMM status could be benchmarked with the project management maturity model. Also, the study found that integrating the KPC into PM enables the institutions to perform critical tasks and value chain activities and enhance the PM maturity level as well. In contrast, if one of the capabilities does not positively impact PMM, it affects the maturity level of the entire project. Research limitations/implications The findings are obtained concerning data collected from public universities and represent the Yemeni context, limiting the generalization on a different geographical area. Also, this proposed model can be evaluated in a practical way like conducting a focus group, a set of interviews with specialists, a case study or action research. The qualitative research will help academics to validate our proposal for future research purposes. Practical implications The proposed approach may be adapted to the characteristics of organizations involved in projects as external performers (project-based organizations) and not just the HEIs projects. This study provides managers and policymakers with insights into assessing PMM and improving their organizational effectiveness when deciding which KPCs to focus on in the future. Social implications This study contributes to the current PM awareness in Yemen and facilitates its success using the knowledge processes capabilities in Yemen's HEIs. It encourages organizations to take this opportunity to revive the projects and achieve a maximum level of maturity. Originality/value This study provides new insights into two domains through the link between knowledge management and PM. To the best of the authors' knowledge, this paper is among the first to empirically study the impact of the four KPC toward PMM. It enriches the theoretical perspective of PM. Also, it contributes to the literature on the success factor of KPC, which can be considered to improve organizational performance.

Re-defining open government data standards for smart cities’ websites: a case study of selected cities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martin Lnenicka ◽  
Stuti Saxena
Keyword(s):  
Design Methodology ◽  
Smart Cities ◽  
Open Government ◽  
Data Standards ◽  
Content Type ◽  
Open Government Data ◽  
Government Data

Purpose The purpose of this paper is to study the select Smart Cities of Czech and Indian counterparts and assess the extent to which open government data (OGD) standards are being adhered to using select indicators. Design/methodology/approach This study integrates the benchmarking frameworks provided in literature on OGD and apply them to evaluate the OGD standards of the Smart Cities’ websites. Findings Whereas the Czech Smart Cities are relatively more advanced in their OGD initiatives, the Indian counterpart is far lagging behind in their endeavors. Originality/value While there are many studies on OGD and Smart Cities, there has been no study which seeks to appreciate if the OGD initiatives are being adhered to by the Smart Cities.

Enhancing transparency through open government data: the case of data portals and their features and capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martin Lněnička ◽  
Renata Machova ◽  
Jolana Volejníková ◽  
Veronika Linhartová ◽  
Radka Knezackova ◽  
...  
Keyword(s):  
Open Data ◽  
Open Government ◽  
Data Sets ◽  
Web Content ◽  
Content Type ◽  
Domain Experts ◽  
Computer Mediated ◽  
Open Government Data ◽  
Decision Making Processes ◽  
Government Data

PurposeThe purpose of this paper was to draw on evidence from computer-mediated transparency and examine the argument that open government data and national data infrastructures represented by open data portals can help in enhancing transparency by providing various relevant features and capabilities for stakeholders' interactions.Design/methodology/approachThe developed methodology consisted of a two-step strategy to investigate research questions. First, a web content analysis was conducted to identify the most common features and capabilities provided by existing national open data portals. The second step involved performing the Delphi process by surveying domain experts to measure the diversity of their opinions on this topic.FindingsIdentified features and capabilities were classified into categories and ranked according to their importance. By formalizing these feature-related transparency mechanisms through which stakeholders work with data sets we provided recommendations on how to incorporate them into designing and developing open data portals.Social implicationsThe creation of appropriate open data portals aims to fulfil the principles of open government and enables stakeholders to effectively engage in the policy and decision-making processes.Originality/valueBy analyzing existing national open data portals and validating the feature-related transparency mechanisms, this paper fills this gap in existing literature on designing and developing open data portals for transparency efforts.

Antecedents of horizontal logistics collaboration in agri-food supply chains

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Badraoui ◽  
Ivo van der Lans ◽  
Youssef Boulaksil ◽  
Jack G.A.J. van der Vorst
Keyword(s):  
Supply Chains ◽  
Food Supply ◽  
Structural Equation ◽  
The Body ◽  
Equation Modeling ◽  
Content Type ◽  
Operational Conditions ◽  
Food Supply Chains ◽  
The Impact ◽  
The Relationship

PurposeThis study investigates the impact of agri-food supply chains (AFSCs) characteristics on the antecedents of horizontal logistics collaboration (HLC). Specifically, the study compares the relationship between collaboration activities and outcomes for companies in and outside AFSCs.Design/methodology/approachFirst, a survey was used to collect data from different industries. Second, confirmatory factor analysis and structural equation modeling were applied to compare the measurement and structural models from different industry categories.FindingsThe results support the premise that collaboration improves trust and commitment in the relationship, which in turn enhance satisfaction. The results also show the existence of a minor influence of AFSCs characteristics on HLC antecedents, in the form of an indirect impact of dedicated investments on commitment.Practical implicationsThe factors having a significant influence on the collaboration outcomes and their respective effects are generally similar across food and nonfood supply chains, providing opportunities for interdisciplinary and collaboration experiences.Originality/valueThis research contributes to the body of knowledge on interfirm collaboration by considering the specificities of HLC. It also highlights the importance of conducting contingency research on collaborative experiences, as firms from different industry contexts operate under distinct operational conditions.

Asymmetric Open Government Data (OGD) framework in India

2018 ◽  
Vol 20 (5) ◽  
pp. 434-448 ◽  
Author(s):  
Stuti Saxena
Keyword(s):  
Economic Value ◽  
Open Data ◽  
Developed Countries ◽  
Open Government ◽  
Data Sets ◽  
Indian States ◽  
Content Type ◽  
Open Government Data ◽  
Government Data ◽  
The Government

Purpose With the ongoing drives towards Open Government Data (OGD) initiatives across the globe, governments have been keen on pursuing their OGD policies to ensure transparency, collaboration and efficiency in administration. As a developing country, India has recently adopted the OGD policy (www.data.gov.in); however, the percolation of this policy in the States has remained slow. This paper aims to underpin the “asymmetry” in OGD framework as far as the Indian States are concerned. Besides, the study also assesses the contribution of “Open Citizens” in furthering the OGD initiatives of the country. Design/methodology/approach An exploratory qualitative following a case study approach informs the present study using documentary analysis where evidentiary support from five Indian States (Uttar Pradesh, Telangana, West Bengal, Sikkim and Gujarat) is being drawn to assess the nature and scope of the OGD framework. Further, conceptualization for “Open Citizen” framework is provided to emphasize upon the need to have aware, informed and pro-active citizens to spearhead the OGD initiatives in the country. Findings While the National OGD portal has a substantial number of data sets across different sectors, the States are lagging behind in the adoption and implementation of OGD policies, and while Telangana and Sikkim have been the frontrunners in adoption of OGD policies in a rudimentary manner, others are yet to catch up with them. Further, there is “asymmetry” in terms of the individual contribution of the government bodies to the open data sets where some government bodies are more reluctant to share their datasets than the others. Practical implications It is the conclusion of the study that governments need to institutionalize the OGD framework in the country, and all the States should appreciate the requirement of adopting a robust OGD policy for furthering transparency, collaboration and efficiency in administration. Social implications As an “Open Citizen”, it behooves upon the citizens to be pro-active and contribute towards the open data sets which would go a long way in deriving social and economic value out of these data sets. Originality/value While there are many studies on OGD in the West, studies focused upon the developing countries are starkly lacking. This study plugs this gap by attempting a comparative analysis of the OGD frameworks across Indian States. Besides, the study has provided a conceptualization of “Open Citizen” (OGD) which may be tapped for further research in developing and developed countries to ascertain the linkage between OGD and OC.

Examining the Factors of Open Government Data Usability From Academician's Perspective

2018 ◽  
Vol 9 (3) ◽  
pp. 72-85 ◽  
Author(s):  
Muhammad Mahboob Khurshid ◽  
Nor Hidayati Zakaria ◽  
Ammar Rashid ◽  
Muhammad Nouman Shafique
Keyword(s):  
Behavioral Intention ◽  
Diffusion Of Innovations ◽  
Behavioral Intentions ◽  
Policy Instruments ◽  
Open Government ◽  
Research Model ◽  
Policy Makers ◽  
Open Government Data ◽  
Government Data ◽  
Behavioral Intention To Use

This article examines factors that can be argued to influence the academician's behavioral intentions in using open government data (OGD). Policy-makers and practitioners will determine policy instruments in increasing acceptance and use of OGD by maintaining a good understanding of these factors. In this article, Rogers' Diffusion of Innovations (DOI) theory has been proposed and used in order to empirically examine these factors taking perceived characteristics of innovations. Relevant hypotheses have been developed through the literature review, forming a preliminary research model, while respective influences of the factors on the behavioral intention to use open government data have been statistically tested. Results have shown that compatibility and voluntariness have had a strong influence on behavioral intention, whereas a 66.2% variance has been found in academicians' behavioral intentions to use open government data.

The effect of clustering on competitiveness improvement in Hebron

2017 ◽  
Vol 28 (5) ◽  
pp. 631-654 ◽  
Author(s):  
Ibrahim M. Awad ◽  
Alaa A. Amro
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Model Building ◽  
Measurement Model ◽  
Background Information ◽  
Equation Modeling ◽  
Future Research ◽  
Research Model ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to map the cluster in the leather and shoes sector for improving the competitiveness of the firms. Toward this end, the study is organized to examine the impact of clustering on competitiveness improvement. The influence of competitive elements and performance (Porter’s diamond) and balanced score card was utilized. Design/methodology/approach A random sample of 131 respondents was chosen during the period from May 2016 to July 2016. A structural equation modeling (SEM) analysis was applied to investigate the research model. This approach was chosen because of its ability to test casual relationships between constructs with multiple measurement items. Researchers proposed a two-stage model-building process for applying SEM. The measurement model was first examined for instrument validation, followed by an analysis of the structural model for testing associations hypothesized by the research model. Findings The main findings show that there is a unidirectional causal relationship between improvements of performance and achieve competitiveness and also reveal that the Palestinian shoes and leather cluster sector is vital and strong, and conclude that clustering can achieve competitiveness for small- and medium-sized enterprises. Research limitations/implications Future research can examine the relationship between clustering and innovation. The effect of clustering using other clustering models other than Porter’s model is advised to be used for future research. Practical implications The relationships among clustering and competitiveness may provide a practical clue to both, policymakers and researchers on how cluster enhances economic firms such as a skilled workforce, research, development capacity, and infrastructure. This is likely to create assets such as trust, synergy, collaboration and cooperation for improved competitiveness. Originality/value The findings of this study provide background information that can simultaneously be used to analyze relationships among factors of innovation, customer’s satisfaction, internal business and financial performance. This study also identified several essential factors in successful firms, and discussed the implications of these factors for developing organizational strategies to encourage and foster competitiveness.

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