E-Government with<i>Big Data Enabled</i>through Smartphone for Public Services: Possibilities and Challenges

Anshari, Muhammad; Lim, Syamimi Ariff

doi:10.1080/01900692.2016.1242619

Cited by 59 publications

(25 citation statements)

References 25 publications

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“…Thus, people who feel that they are low in computer literacy are less likely to use them [5]. On the other hand, attitudes towards computer are linked also to self-efficacy since they are deemed to be a significant factor in the interpretation of the frequency and success with which individuals use computers [6,19]. The study attempts to fill the gap by examining student selfefficacy in regard to smartphone habits and mobile learning.…”

Section: Student Self-efficacymentioning

confidence: 99%

Smartphone Habits and Behaviors in Supporting Students Self-Efficacy

Razzaq

Samiha

Anshari

2018

Int. J. Emerg. Technol. Learn.

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Abstract-The widespread of smartphones usage have increased the convenience of accessing information and knowledge sharing for higher learning students. University's students are exposed with the multi channels of knowledge from various sources primarily from online learning's resources. The study examines smartphone habit and behaviors, internet literacy, and mobile learning in relation to self-efficacy. Self-efficacy refers to the internal forces of a student's belief in the abilities in utilizing smartphone as educational aid in the context of mobile learning. This study deploys a quantitative approach in assessing the relationship between self-efficacy, internet literacy and smartphone's habits for of university students. Understanding student selfefficacy is important factor to deliver an effective ways in supporting mobile learning activities. In addition to documenting the findings of self-efficacy and mobile learning, the research also represents a model of internal and external factors that affects student self-efficacy to make mobile learning successful.

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Section: Student Self-efficacymentioning

confidence: 99%

Smartphone Habits and Behaviors in Supporting Students Self-Efficacy

Razzaq

Samiha

Anshari

2018

Int. J. Emerg. Technol. Learn.

Self Cite

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“…Moreover, attempts to design and manage big data model for innovative learning refer to engage with managing and storing such kind of intangible assets such as report and documents referring to knowledge and information pattern with the purpose of administration basis [42]. As a result of providing electronic learning with pointing out the application software which is capable and designed to basically yield an integrated platform in delivering the content configured into supplying the accessibility with a wide range of users involving students, content creators, lecturers as well as administrators [6], such kind of benefit can be achieved with the attempts to ease the learning activity [7].…”

Section: Introductionmentioning

confidence: 99%

Big Data Emerging Technology: Insights into Innovative Environment for Online Learning Resources

Huda¹,

Maseleno

Atmotiyoso³

et al. 2018

Int. J. Emerg. Technol. Learn.

160

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Abstract-Attempts to adopt the network data massively from the social media refer to provide the particular means in extracting the value from information space such as message, conversation, transaction and others, where the sources of structured data come from enterprise resources data and sources of unstructured data come from audio and video. It can be achieved to expand the process of extracting the value from social network to pattern the data sources to fulfil the organisation goal. This paper aims to reveal the way of big data approach in extracting data value from data complexity involving variety and velocity into the volume. This study was conducted using contents analysis by reviewing some literatures in peer-reviewed journals, chapters, books and proceedings in developing prototype using data analytics associated from the topic, users and time analytics. The findings reveal that big data emerging technology with analytic process provides particular advantages to transform the pattern of information fitted into the innovative environment of online learning resources (OLR) to enhance in developing the learning resources. Both prototype and model of data extraction value could be enhanced to facilitate the learning environment in supporting implementations with ease and convenience. This study is expected to contribute to improve the learning environment and outcomes iJET

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“…However, generated data is no longer formed by only structured records, but it is characterized by any storage that has large volumes, high velocity, valid, varied and valuable content such as cookies, social activity, IoT records, videos, NoSQL Databases and gathered personal information. This kind of storage allows industries to extract valuable knowledge at the right time and even in real time [22][23][24][25][26][27][28][29][30][31].…”

Section: Big Data Characteristicsmentioning

confidence: 99%

Big data monetization throughout Big Data Value Chain: a comprehensive review

et al. 2020

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Value creation is the rational goal of any organization. However, in a changing world, in terms of data, it is very difficult to find strategies to sustainably generate new value and improve operations. In this respect, generating value may mean revisiting some deeplyheld conceptions of different processes. For this, each organization has to ensure an efficient and updated management of value creation processes for both inter-organization and partners. Value chain (VC) is one of the key solutions to such dilemmas.

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E-Government withBig Data Enabledthrough Smartphone for Public Services: Possibilities and Challenges

Cited by 59 publications

References 25 publications

Smartphone Habits and Behaviors in Supporting Students Self-Efficacy

Smartphone Habits and Behaviors in Supporting Students Self-Efficacy

Big Data Emerging Technology: Insights into Innovative Environment for Online Learning Resources

Big data monetization throughout Big Data Value Chain: a comprehensive review

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