Quality of service acceptance in cloud service utilization: An empirical study in Palestinian higher education institutions

Bsharat, Marwan; Ibrahim, Othman

doi:10.1007/s10639-019-09987-z

Cited by 4 publications

(5 citation statements)

References 81 publications

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“…By working together, agencies can support providers in proactively implementing and monitoring MyMesyuarat training. The provision of adequate and appropriate training also fosters user trust, increases their system acceptance, and improves service quality (Bsharat and Ibrahim, 2020; Chou and Chiang, 2013; Palos-Sanchez et al, 2017). Agencies can also address the use of increasingly complex IS, such as cloud computing, through comprehensive training (Palos-Sanchez et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…Providers can also invest in appropriate training programs to innovate and increase their operational efficiency (Dempsey and Kelliher, 2018; Ho and Wei, 2016). Strong technical expertise and support are essential in promoting system use and enhancing service quality (Aziz and Yusof, 2018; Bsharat and Ibrahim, 2020; Dempsey and Kelliher, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…The availability of MyMesyuarat greatly depends on the ability of providers to keep their data safe and secure. Meanwhile, the reputation and ability of these providers to preserve data integrity influence the service quality perceptions of users (Bsharat and Ibrahim, 2020). Unsecure and unreliable services may lead to user mistrust and low system use (Lee et al, 2009).…”

Section: Availabilitymentioning

confidence: 99%

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Measuring factors influencing quality of software-as-a-service

Basiran

Yusof

2021

Information Development

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Various industrial and business sectors use Software-as-a-Service due to its fast services. However, Software-as-a-Service providers face various challenges in providing high-quality services while simultaneously managing vast multi-tenant infrastructure models and increasingly complex user requirements. To address these problems, we identified those factors that affect the quality of Software-as-a-Service from the perspective of provider–user relationship and investigated how service providers can objectively improve user satisfaction. In a case study, we evaluated the perceived service quality of an information system in the public sector based on user satisfaction with the quality of external outsourcing service in terms of assurance, empathy, responsiveness, reliability, and communication. We identified new sub factors (commitment, skills, effectiveness, change management, business processes, and motivation) and proposed action steps that can guide best practices in ensuring Software-as-a-Service quality. These factors are greatly influenced by the communication between providers and users.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Availabilitymentioning

confidence: 99%

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Measuring factors influencing quality of software-as-a-service

Basiran

Yusof

2021

Information Development

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“…According to Grinstein and Goldman [47], a technological context includes all relevant technologies for a firm, regardless of whether they are currently in use, as well as technologies that suppliers or customers are developing for upcoming products and production plans. Based on previous findings [32,33,47,48], firms adopting new technologies require measurable factors such as cost (CA), complexity (CO), compatibility (CC), and system integration (SI). In the following subsections, the rationale for defining hypotheses based on the four factors belonging to the technological dimension, which are cost (CA), complexity (CO), compatibility (CC), and system integration (SI), will be introduced.…”

Section: Technological Dimensionmentioning

confidence: 99%

Enablers for Adopting Restriction of Hazardous Substances Directives by Electronic Manufacturing Service Providers

Cheng

Huang

2023

Sustainability

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The Electronic Manufacturing Service (EMS) industry contributes significantly to toxic waste generation due to its fabrication processes. Notably, adherence to the Restriction of Hazardous Substances (RoHS) Directive varies amongst EMS providers, despite its aim to reduce electronic waste. This study explores the factors influencing EMS providers’ decision to adopt the RoHS directive, utilizing the technology–organization–environment (TOE) and the human–organization–technology (HOT) fit, or the TOE-HOT fit framework. We validated our framework using partial least squares structural equation modeling (PLS-SEM), based on responses from 379 questionnaires from major EMS providers. The results demonstrated that expert resources, adequate resources, perceived industrial pressure, institutional pressure, and costs were positively associated with RoHS adoption. However, innovation, relative advantage, and verification ability were identified as significant barriers. In particular, innovation in the human dimension was the key determinant for RoHS adoption. Therefore, clear policy instruments and regulations may enhance RoHS adoption by EMS providers. These findings can guide environmental policy definitions in governmental laws and strategies, encouraging EMS providers and other firms to adopt RoHS standards.

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“…According to it, Leoste et al (2021) educators and institutions are faced with the need to adjust to technological trends, where the ability to incorporate the latest technological innovations in education becomes an imperative to safeguard relevance and effectiveness (Chugh et al, 2021). Therefore, an essential demand for adaptation arises to ensure effective education in the current scenario (Bsharat & Ibrahim, 2020).…”

Section: Introductionmentioning

confidence: 99%

Utilizing Emerging Technology Trends and Artificial Intelligence in Higher Education

Moncayo Cueva,

Cuesta-Chávez,

Ramírez

et al. 2024

JHETP

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Today’s higher education is characterized by accelerated technological advances and a growing need for adaptation. This research focuses on the utilization of emerging technological trends and artificial intelligence (AI) as innovative solutions to enhance the quality and effectiveness of teaching and learning. The problem lies in the necessity of strategically harnessing the potential of emerging technologies and AI in higher education. The objective is to thoroughly examine the implementation of emerging technologies and artificial intelligence within the realm of higher education. A comprehensive systematic review was conducted, involving the analysis of 240 articles selected from searches within the Scopus, SpringerLink, and Web of Science databases the selection process employed rigorous inclusion and exclusion criteria, to achieve this, we utilized the PRISMA methodology with a systematic approach. Consequently, our findings indicate that the integration of emerging technologies and artificial intelligence in higher education offers valuable guidance for decision-making and enhances the effectiveness of educational strategies in the digital era.

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Quality of service acceptance in cloud service utilization: An empirical study in Palestinian higher education institutions

Cited by 4 publications

References 81 publications

Measuring factors influencing quality of software-as-a-service

Measuring factors influencing quality of software-as-a-service

Enablers for Adopting Restriction of Hazardous Substances Directives by Electronic Manufacturing Service Providers

Utilizing Emerging Technology Trends and Artificial Intelligence in Higher Education

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