Diffusion of Big Open Data Policy Innovation in Government and Public Bodies in Pakistan

Khurshid, Muhammad Mahboob; Zakaria, Nor Hidayati; Rashid, Ammar; Kazmi, Rafaqat; Shafique, Muhammad Nouman

doi:10.1007/978-981-13-6052-7_28

Cited by 8 publications

(9 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another five (5) studies employed this theory as a standalone theory [20,26,31,33]. The third most utilized theory was DOI theory whereby it was employed by the four researchers [7,9,20,58]. The fourth theory, which was employed mostly, was resource-based theory and it was employed three times [6,11,37].…”

Section: Geographical Distribution Of Articlesmentioning

confidence: 99%

Modeling of Open Government Data for Public Sector Organizations Using the Potential Theories and Determinants—A Systematic Review

et al. 2020

Self Cite

View full text Add to dashboard Cite

Open government data (OGD) has huge potential to increase transparency, accountability, and participation while improving efficiency in operations, data-driven and evidence-based policymaking, and trust in government institutions. Despite its potential benefits, OGD has not been widely and successfully adopted in public sector organizations, particularly in developing countries. Therefore, the purpose of this study is to explore the theories/frameworks and potential determinants that influence the OGD adoption in public sector organizations. To ascertain the various determinants of OGD adoption in public sector organizations, this study involved a systematic review of already established theories and determinants addressed in the public sector open data domain. The review revealed that the TOE (technology, organization, environment) framework was dominantly employed over theories in the earlier studies to understand organizational adoption to OGD followed by institutional theory. The results, concerning potential determinants, revealed that some of the most frequently addressed determinants are an organization’s digitization/digitalization capacity, compliance pressure, financial resources, legislation, policy, regulations, organizational culture, political leadership commitment, top-management support, and data quality. The findings will enrich researchers to empirically investigate the exposed determinants and improve the understanding of decision-makers to leverage OGD adoption by taking relevant measures.

show abstract

Section: Geographical Distribution Of Articlesmentioning

confidence: 99%

Modeling of Open Government Data for Public Sector Organizations Using the Potential Theories and Determinants—A Systematic Review

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…This study suggests that an omnibus law is needed to reduce the gaps between existing practices and expected outputs (Carreiro and Oliveira, 2019; Kumar and Singh, 2019;Zhang, 2018). Nevertheless, these gaps are useful for identifying, internalizing, and evaluating the inadequacies in all the existing regulations, which are accommodated in the new omnibus law (Khurshid et al, 2018;Noel et al, 2019). This study presents the following comments that explain the need for an omnibus law for Indonesian SMEs.…”

Section: The Need For An Omnibus Law For Smesmentioning

confidence: 94%

“…The most important thing for the Indonesian regulators is that they should determine what output level could be achieved nationally by this omnibus law (Carreiro and Oliveira, 2019;Kumar and Singh, 2019;Zhang, 2018). The omnibus law is to identify, internalize, and evaluate all the existing contributions (Khurshid et al, 2018;Noel et al, 2019) from all Indonesian SMEs if the regulators succeed in creating it. This study finally concludes that the Indonesian regulators should define the SMEs' production roles using an industry-wide concept as well as a revolutionary concept within this omnibus law.…”

Section: The Need For An Omnibus Law For Smesmentioning

confidence: 99%

“…This association supports the SMEs' readiness for change. It explains that this omnibus law will also support the Indonesian SMEs in realizing their best performance (Khurshid et al, 2018;Noel et al, 2019) through organizational commitment and self-efficacies. The authors argue that for innovation, most SMEs' executive officers could refer to the regulation that boosts creativity due to the relationship between knowledge and innovation (Carreiro and Oliveira, 2019;Kumar and Singh, 2019;Zhang, 2018).…”

Section: The Need For An Omnibus Law For Smesmentioning

confidence: 99%

See 1 more Smart Citation

What Do Banks, Rural Credit Institutions, and Regulators Infer from the Current Strengths and Standing of Indonesian SMEs?

Panjaitan

Darwin

Bastian

et al. 2020

GADJAH MADA INT. J. BUS.

View full text Add to dashboard Cite

This study investigates whether the Indonesian regulators control Indonesian small and medium-sized enterprises (SMEs) with matching or mismatching empowerment strategies, in light of their strengths and current standing. Indonesian SMEs contributed approximately 60.34% to Indonesia’s gross domestic product (GDP) in 2018. In addition, Indonesian regulators have focused on financial support through credit policies and tax incentives. Indonesian SMEs have been standing on organizational readiness and readiness for change, based on their social networks and social cognition. It collected thirteen informants with different expertise and experiences. This study’s results suggest Indonesia’s regulatory body and financial institutions should consider the SMEs’ social cognition and organizational readiness for change. According to the current situation, to empower Indonesian SMEs, we recommend strategies such as achieving knowledge supremacy, creating an economic development board, as in Singapore, formulating comprehensive industry-wide policies, adopting omnibus laws, and implementing a shifting balance strategy. In other words, the Indonesian regulators should implement major reforms, which are similar to glasnost and perestroika in the former Soviet Union. This is to enhance Indonesian SMEs and achieve the goal of the Government of Indonesia (GoI) with respect to the optimal distinctiveness of Indonesia’s future economy. This optimal distinctiveness refers to the GoI’s policies, which focused on knowledge supremacy, an industry-wide regime, and research for empowerment.

show abstract

“…A study on investigating the factors or predictors of open data technologies adoption helps policymakers to exploit value of this innovation. Moreover, understanding the factors influencing adoption of open data technologies will support public entities to make more informed future investment decisions, such as investments in terms of employing specialized staff to open the data, in terms of building infrastructure, hardware and software, time for policy and legislation, reducing the cost of travelling, offering more open data technologies, reducing the development cost of open data technologies (Kassen, 2018;Khurshid, Zakaria, Rashid, Kazmi, & Shafique, 2019;Máchová et al, 2018), and so on. Therefore, this research attempts to fill the gap in knowledge and practice by examining the factors that influence citizens' adoption of open data technologies by employing the UMEGA theory (Dwivedi et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Predictors for the Adoption of Open Data Technologies

et al. 2020

Self Cite

View full text Add to dashboard Cite

Open Data initiative is attracting considerable interest globally due to the growing phenomena of transparency, accountability, quality of life, and business. The adoption of open data technologies is inevitably an issue to better exploit the full potential and benefits of open data available to the public. The main issue in our knowledge of open data technologies is the scarcity of research studies on the adoption of open data technologies. Thus, the main objective of this study is to predict and explain the factors that influence the adoption of open data technologies. A Unified Model of Electronic Government Adoption (UMEGA) was employed as a lens to examine the influencing factors including additional factors i.e. imitating the behavior of others, disregarding own beliefs, and grievance redressal to make a novel contribution in the adoption studies. The survey method was used to collect the data from citizens and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) technique in SmartPLS 3. Satisfactory results are obtained proving that facilitating conditions has a significant positive influence on effort expectancy, effort expectancy on performance expectancy, performance expectancy on attitude, and attitude on behavioral intention to adopt open data technologies even though the number of participants is very small. Implications for the academics and managers are also outlined. Future researchers should find more concrete pieces of evidence upon collecting a large number of responses.

show abstract

Diffusion of Big Open Data Policy Innovation in Government and Public Bodies in Pakistan

Cited by 8 publications

References 28 publications

Modeling of Open Government Data for Public Sector Organizations Using the Potential Theories and Determinants—A Systematic Review

Modeling of Open Government Data for Public Sector Organizations Using the Potential Theories and Determinants—A Systematic Review

What Do Banks, Rural Credit Institutions, and Regulators Infer from the Current Strengths and Standing of Indonesian SMEs?

Predictors for the Adoption of Open Data Technologies

Contact Info

Product

Resources

About