Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Mohd Heikal Husin"'
Publikováno v:
Computers in Human Behavior Reports, Vol 10, Iss , Pp 100289- (2023)
Purpose: Cyberbullying has yet to be thoroughly investigated from the perspective of Gen-Z women, and it is vital to determine how this law influences these young women to avoid cyberbullying. Consequently, the purpose of this study is to fill a know
Externí odkaz:
https://doaj.org/article/fb4ad3c088344396ae1c12369bf6f5ff
Publikováno v:
Journal of Information Science Theory and Practice, Vol 10, Iss 2 (2022)
The research in the literature review on Internet of Things (IoT) adoption from an individual consumer viewpoint is minimal and has not yet been fully investigated. Therefore, the objectives of this study are to analyze the growth of IoT in recent ye
Externí odkaz:
https://doaj.org/article/3d058338cafd4adbb76475bca9de10ba
Autor:
Mayawi Baba-Nalikant, Nor Athiyah Abdullah, Mohd Heikal Husin, Sharifah Mashita Syed-Mohamad, Mohamad Saifudin Mohamad Saleh, Asyirah Abdul Rahim
Publikováno v:
Recycling, Vol 8, Iss 2, p 40 (2023)
This study aimed to investigate the relationships between knowledge, attitudes, and values in promoting zero-waste, pro-environmental behaviour among the university campus community and how technology plays its role. A survey instrument was developed
Externí odkaz:
https://doaj.org/article/60ae09db96084e769b811ac7713687ed
Autor:
Mayawi Baba-Nalikant, Sharifah Mashita Syed-Mohamad, Mohd Heikal Husin, Nor Athiyah Abdullah, Mohamad Saifudin Mohamad Saleh, Asyirah Abdul Rahim
Publikováno v:
Recycling, Vol 8, Iss 1, p 21 (2023)
This paper will explore the university campus community’s perspective towards the realization of a zero-waste campus. A qualitative approach is employed to identify the factors influencing the campus community’s awareness and participation in sol
Externí odkaz:
https://doaj.org/article/b5e676c047d642ab95cfecfcf31b4ae5
Autor:
Hala Najwan Sabeh, Mohd Heikal Husin, Daisy Mui Hung Kee, Ahmad Suhaimi Baharudin, Rosni Abdullah
Publikováno v:
IEEE Access, Vol 9, Pp 81210-81235 (2021)
The DeLone and McLean (D&M) information systems (IS) success model seeks to provide a comprehensive understanding of IS success by identifying and explaining the relationships among their most critical dimensions of success. Many studies have offered
Externí odkaz:
https://doaj.org/article/d612cbeb0fc042f0895b16508da7a180
Publikováno v:
IEEE Access, Vol 8, Pp 118940-118956 (2020)
During the last few decades, many organizations have started recognizing the benefits of Big Data (BD) to drive their digital transformation and to gain faster insights from faster data. Making smart data-driven decisions will help the organizations
Externí odkaz:
https://doaj.org/article/b192efe05dba481c9d042d29560eeba6
Autor:
Zaher Ali Al-Sai, Mohd Heikal Husin, Sharifah Mashita Syed-Mohamad, Rasha Moh’d Sadeq Abdin, Nour Damer, Laith Abualigah, Amir H. Gandomi
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 4, p 157 (2022)
Big data applications and analytics are vital in proposing ultimate strategic decisions. The existing literature emphasizes that big data applications and analytics can empower those who apply Big Data Analytics during the COVID-19 pandemic. This pap
Externí odkaz:
https://doaj.org/article/0781ffef3c644d8c986108b5a63563c5
Autor:
Zaher Ali Al-Sai, Mohd Heikal Husin, Sharifah Mashita Syed-Mohamad, Rosni Abdullah, Raed Abu Zitar, Laith Abualigah, Amir H. Gandomi
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 1, p 2 (2022)
Big Data and analytics have become essential factors in managing the COVID-19 pandemic. As no company can escape the effects of the pandemic, mature Big Data and analytics practices are essential for successful decision-making insights and keeping pa
Externí odkaz:
https://doaj.org/article/03f354cd2a4543faaa902831efbbfa11
Publikováno v:
Algorithms, Vol 15, Iss 3, p 87 (2022)
There is a growing interest in topic modeling to decipher the valuable information embedded in natural texts. However, there are no studies training an unsupervised model to automatically categorize the social networks (SN) messages according to pers
Externí odkaz:
https://doaj.org/article/5094cbc9030944ec9ab36c90a9068638
Publikováno v:
International Journal of Engineering Trends and Technology. 71:174-185