The Effect of Big Data on the Quality of Decision-Making in Abu Dhabi Government Organisations

Alkatheeri, Yazeed; Ameen, Ali; Isaac, Osama; Nusari, Mohammed; Duraisamy, Balaganesh; Khalifa, Gamal S. A.

doi:10.1007/978-981-13-9364-8_18

Cited by 20 publications

(13 citation statements)

References 14 publications

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“…7) lls an important void, directly connecting BDAC and OD, and illustrates how it affects OD in the organizational concepts of capacity, culture, and climate, and their future resources. Because BDAC can assist OD through implementation of new technologies [15,26,58] we hypothesize: H1: A positive relationship exists between Organizational Development and BDAC.…”

Section: Process For Developing a New Research Modelmentioning

confidence: 99%

“…This signi es those numerous studies have examined Big Data issues in different domains. These different domains are included: quality of Big Data in nancial service organization [10]; organizational value creation because of BDA usage [11]; application of Big Data in health organizations [9]; decision improvement using Big Data in health [12]; application of Big Data in transport organizations [13]; relationships between Big Data in nancial domains [14]; and quality of Big Data and its impact on government organizations [15].…”

Section: Introductionmentioning

confidence: 99%

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Extending The Theoretical Understanding of Big Data Analytics Capabilities In Organizations: A Thematic Analysis

Sabharwal

Miah

2021

Preprint

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Big Data Analytics (BDA) usage in industry has been increased markedly in recent years. As a data-driven tool to facilitate informed decision making, the need for BDA capability in organizations is recognized, but few studies have communicated an understanding of BDA capabilities in a way that can enhance our theoretical knowledge of using BDA in organizational domain. Big Data has been defined in various ways and , the past literature about classification of BDA and its capabilities is explored in this research . We conduct a literature review using PRISMA methodology, and integrate a thematic analysis using NVIVO12. By adopting five steps of PRISMA framework - , 70 sample articles we generate five themes, which informed through organization development theory, and develop a novel empirical research model which we submit for validity assessment. Our findings improve effectiveness and enhance the usage of BDA applications in various Organizations.

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Section: Process For Developing a New Research Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extending The Theoretical Understanding of Big Data Analytics Capabilities In Organizations: A Thematic Analysis

Sabharwal

Miah

2021

Preprint

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“…The previous research identified that, the vast majority of the data is structured and extremely well organized (Schulze, et al, 2018), whereas in data science, many believe that managing unstructured data is one of the most difficult problems because of the tools and techniques that are successful with handling structured data are not as effective with unstructured data, which results in much confusion (Blumberg and Are, 2003;Malik, Burney and Ahmed, 2020). One of the shortcomings identified by previous research studies in dealing with mixed-up data is that it is not entirely within the control of the application running it (Alkatheeri, et al, 2020).…”

Section: Related Workmentioning

confidence: 99%

Examining Heterogeneity Structured on a Large Data Volume with Minimal Incompleteness

Aljojo¹

2021

ARO

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While Big Data analytics can provide a variety of benefits, processing heterogeneous data comes with its own set of limitations. A transaction pattern must be studied independently while working with Bitcoin data, this study examines twitter data related to Bitcoin and investigate communications pattern on bitcoin transactional tweet. Using the hashtags #Bitcoin or #BTC on Twitter, a vast amount of data was gathered, which was mined to uncover a pattern that everyone either (speculators, teaches, or the stakeholders) uses on Twitter to discuss Bitcoin transactions. This aim is to determine the direction of Bitcoin transaction tweets based on historical data. As a result, this research proposes using Big Data analytics to track Bitcoin transaction communications in tweets in order to discover a pattern. Hadoop platform MapReduce was used. The finding indicate that In the map step of the procedure, Hadoop's tokenize the dataset and parse them to the mapper where thirteen patterns were established and reduced to three patterns using the attributes previously stored data in the Hadoop context, one of which is the Emoji data that was left out in previous research discussions, but the text is only one piece of the puzzle on bitcoin transaction interaction, and the key part of it is “No certainty, only possibilities” in Bitcoin transactions

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“…Then in 2003, the model was updated by the same authors (Delone & Mclean) by including service quality as a new dimension. Further, all impact measurements were grouped into one category called "net benefit", to avoid complicating the model with more success measurements [20][21][22]. The proposed model examines the correlation between service quality, user satisfaction and performance in the context of smart government services in UAE.…”

Section: The Proposed Modelmentioning

confidence: 99%

Examining relationship between service quality, user satisfaction, and performance impact in the context of smart government in UAE

Ameen

Al-Ali

Isaac

et al. 2020

IJECE

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Governments attempt to use all forms of information technologies including Internet and mobile computing to be able to transform relationships with citizens. However, there is a clear gap between the indicator of the impact of technology innovation output and government’s vision in UAE (United Arab Emirates). In this regard, investigating the relationship between service quality, user satisfaction, and performance impact may help the government to mark its current progress and milestone achievement. This research proposed a model based on Delone & McLean IS success model by considering the research context. The modeling of structural equations via PLS (Partial least squares) regression was applied to evaluate the model within the context of public sector in the UAE. The data was collected from a sample of 147 employees in public organizations using a questionnaire. Results demonstrated that the quality of service has a significant effect on user satisfaction. In addition, quality of service and user satisfaction positively influences the staff performance. The outcome of this research helps to enhance the understanding of the impact of smart government applications.

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The Effect of Big Data on the Quality of Decision-Making in Abu Dhabi Government Organisations

Cited by 20 publications

References 14 publications

Extending The Theoretical Understanding of Big Data Analytics Capabilities In Organizations: A Thematic Analysis

Extending The Theoretical Understanding of Big Data Analytics Capabilities In Organizations: A Thematic Analysis

Examining Heterogeneity Structured on a Large Data Volume with Minimal Incompleteness

Examining relationship between service quality, user satisfaction, and performance impact in the context of smart government in UAE

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