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Growing Science » Authors » Mohammad Rasmi Al-Mousa

⭐ Highly Cited Articles

  • Jaya Algorithm
  • Rao Algorithm
  • TLBO Algorithm
  • ChatGPT and Blended Learning

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Supply chain management(169)
Jordan(167)
Vietnam(154)
Customer satisfaction(124)
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Service quality(98)
Competitive advantage(98)
Tehran Stock Exchange(94)
SMEs(92)
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optimization(88)
TOPSIS(85)
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Genetic Algorithm(80)
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✍️ Authors

Naser Azad(82)
Zeplin Jiwa Husada Tarigan(67)
Mohammad Reza Iravani(64)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(40)
Dmaithan Almajali(38)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Barween Al Kurdi(32)
Hassan Ghodrati(31)
Basrowi Basrowi(31)
Sautma Ronni Basana(31)
Haitham M. Alzoubi(30)
Mohammad Khodaei Valahzaghard(30)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)


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Sort articles by: 📖 Volume | 📅 Date | ⭐ Most Rates | 👁️ Most Views | 🚀 Rising Stars | 📊 Citations (Scopus) | 🔥 Hot Papers
1.

From cost center to value engine: A causal framework for quantifying the strategic business value of enterprise information management Pages 911-922 Right click to download the paper Download PDF

Authors: Raed Masadeh, Alaa Saeb Al Sherideh, Mohammad Nurul Alam, Mohammad Rasmi Al-Mousa, Ali Hussein Abu Zaid, Hiba Hamdan, Dmaithan Almajali

doi 10.5267/j.jpm.2026.4.003 Crossmark

🔑 Keywords: Information management, Business value, Measurement and ROI, Strategic alignment, Causal framework, Organizational capabilities, Digital transformation, Data governance

Abstract:
Companies have heavily invested in information management (IM) capabilities, yet many of them find it hard to demonstrate a business focused strategic value. Consequently, IM functions often get treated as cost-center rather than strategic value creators. This study is intended to address this gap by designing and validating a model to link IM initiatives to business outcomes. We develop and validate a framework that links certain IM capabilities to intermediate organizational capabilities, which subsequently affect financial and strategic performance. The IM capabilities under consideration are data quality governance, analytical infrastructure, data accessibility, and master data management. Through a mixed-methods approach utilizing paired survey data from 350 organizations and archival performance data, we do structural equation modeling to test the proposed relationships. Our results show that the strongest effect on operational efficiency comes from data quality governance (β = 0.47, p < 0.001). Meanwhile, cross-functional data accessibility exerts high impact on strategic agility (β = 0.52, p < 0.001). The mediation analysis confirms that IM capabilities influence financial performance only through organization capabilities. Our research contributes to theory and practice by providing (1) an empirically validated causal model extending the Resource-Based View to the domain of the digital context, (2) a measurement instrument for assessing IM value drivers, and (3) a managerial framework for prioritizing IM investments in line with strategic objectives. According to this research, CIOs and CDOs have evidence-based tools to rebrand IM as a technical necessity for better version.
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Journal: JPM | Year: 2026 | Volume: 11 | Issue: 3 | Views: 79

 
2.

Antecedents of cloud-based financial information systems usage: An integrated model Pages 125-138 Right click to download the paper Download PDF

Authors: Raed Masadeh, Dmaithan Abdelkarim Almajali, Manaf Al-Okaily, Nida AL-Sous, Mohammad Rasmi Al-Mousa

doi 10.5267/j.ijdns.2023.10.010 Crossmark

🔑 Keywords: Information and Communication Technologies, Cloud Computing, Information Technology, Financial Information Systems, COVID-19 Risk, Trust, SMEs

Abstract:
The recent progress of Financial Information System (FIS) has significantly affected businesses’ sustainable production process. Businesses generally employ FIS to automate their operational procedures and increase their corporate efficiencies through improvement in output quality and sustainability. The performance of FIS has been attributed to its key success criteria. Accordingly, this study examined antecedents of FIS intention to use among Small and Medium-Size Enterprises (SMEs) in Jordan at individual level, with specific focus on the acceptance and use of FIS among accounting department employees. Based on 436 respondents from Jordanian SMEs, results showed an impact of COVID-19 risk, trust, performance expectancy, and perceived severity on the intention to use FIS, whereas effort expectancy and perceived vulnerability showed no impact on the intention to use FIS among Jordanian SMEs.
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Journal: IJDS | Year: 2024 | Volume: 8 | Issue: 1 | Views: 1680

 
3.

Awareness model for minimizing the effects of social engineering attacks in web applications Pages 791-800 Right click to download the paper Download PDF

Authors: Maher Al-Khateeb, Mohammad Rasmi Al-Mousa, Ala’a Saeb Al-Sherideh, Dmaithan Almajali, Mahmoud Asassfeha, Hayel Khafajeh

doi 10.5267/j.ijdns.2023.1.010 Crossmark

🔑 Keywords: Social Engineering, Cybercrime, Malicious code, Attacks, SE attacks

Abstract:
Social Engineering (SE) Attacks against information systems continue to pose a potentially devastating impact. Security information systems are becoming increasingly significant as the number of SE incidents rapidly increased and became more aggressive than before. The World Wide Web (WWW) has evolved for information exchange and knowledge-sharing. It enables the sharing of information in a timely, effective, and transparent manner. Identity theft and identity misuse are two sides of cybercrime in which hackers and fraudulent users collect sensitive information from current legal users in order to perform fraud or deceit for financial gain. Malicious links are used as phishing methods, in which malicious links are planted beneath legitimate-looking links. As the number of web pages grows, the number of malicious web pages and the attacks of such become more complex. In this paper, we provide a method for identifying malicious web pages using a crawling and classification approach that helps to support the automatic discovery of the malicious links. The proposed approach can successfully complete the crawling session even if the page requires partial page refreshment and authentication credentials. The evaluation of the proposed approach shows a higher accuracy compared to an existing approach with an overall accuracy of 72% in three custom applications. Moreover, the proposed approach will calculate the significance and the impact severances of each link on the website and it better differentiates malicious web pages and normal links. The results of the proposed approach will also help in providing a set of recommendations which can increase the awareness level of the end-users, website administrators on how to better deal with these types of SE attacks.
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Journal: IJDS | Year: 2023 | Volume: 7 | Issue: 2 | Views: 1837

 

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