Cloud computing usage by governmental organizations in Saudi Arabia based on Vision 2030

Alarefi, Mohammed

doi:10.5267/j.uscm.2022.10.010

Cited by 3 publications

(3 citation statements)

References 48 publications

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“…[23] Researchers believe that attitudes and the subjective aspect of behaviour drive behaviour in TRA [30]. TAM is widely used in a different context, which shows its results are reliable and accurate [31][32][33]. Here, we can observe the TAM application in cloud computing adoption by the government in Saudi Arabia and in online shopping adoption.…”

Section: Technology Adoption Model (Tam)mentioning

confidence: 84%

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Selection of Technology Acceptance Model for Adoption of Industry 4.0 Technologies in Agri-Fresh Supply Chain

et al. 2023

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Technology is advancing at a very rapid pace, and it helps the user in predicting things, taking the right decisions, making life less difficult and eventually increasing the profitability of their business. Due to the increasing global population, changing climatic conditions, and other natural factors predominating in nature, agriculture practice is becoming less predictable and as a result, farmers’ confidence is being lost, poverty and food insecurity are rising, and other issues are becoming more prevalent. In addition, it affects the sustainability of the food supply chain. So, there is a critical need for agriculture to adopt Industry 4.0 technologies. Here, we want to select a suitable technology acceptance model which comprehensively and robustly defines all the aspects of technology adoption factors in agriculture. From the different adoption theories, we choose one theory that fits our criteria very accurately; for this, we use a hybrid MCDM approach. We utilised fuzzy AHP and fuzzy VIKOR to make the selection logically and systematically correct. Three experts are employed in the study. Fuzzy AHP helps to find the weightage of criteria used by the fuzzy VIKOR technique in ranking the theories. The results showed that the UTAUT ranking comes number one after applying all the suitable criteria and alternatives, and it is the most accurate theory for analysing the adoption of Industry 4.0 technologies in agriculture. This article offers readers a methodical approach for choosing a technology adoption paradigm. The hypothesis that best fits a person’s criteria can be determined by comparing them to potential alternatives.

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Section: Technology Adoption Model (Tam)mentioning

confidence: 84%

“…Opricovic in Serbia developed the VIKOR method in 1998 to enhance the classification of multi-criteria complex systems [32,54,55]. They contend that it is uncommon for a method to solve a complex system that can fulfil all of the conflicting requirements at the same time.…”

Section: Fuzzy Vikormentioning

confidence: 99%

Selection of Technology Acceptance Model for Adoption of Industry 4.0 Technologies in Agri-Fresh Supply Chain

et al. 2023

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“…Technology is being integrated into a variety of aspects of Saudi society in ways that were not prevalent in the past [60,[60][61][62][63][64][65][66][67][68]. As a result of the significance of HIT in the age of digitalization, a variety of stakeholders in Saudi Arabia are interested in investigating, integrating, evaluating, and implementing it.…”

Section: Discussionmentioning

confidence: 99%

An Investigation of Nurses' Perceptions of the Usefulness and Easiness of Using Electronic Medical Records in Saudi Arabia: A Technology Acceptance Model

Alhur

2023

Indonesian J. of Inf. Syst.

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Abstract. EMRs play an essential role in documenting clinical information. Nurses are integral to the success of an EMR implementation, as they are the largest group of employees in a hospital and provide patient care. A major factor in the success of EMR implementation is nurses' acceptance of the system. This study is designed to measure nurses' willingness to use EMRs in clinical practice, determine factors influencing nurses' acceptance of EMR documentation in clinical practice, and gain an understanding of the nurses' perspective on EMRs to encourage the adoption and implementation of EMRs in other health facilities in Saudi Arabia. This study included nurses from Hail General Hospital, Maternity and Children Hospital, King Khalid Hospital, and Hail General Hospital. Study results indicate that perceived usefulness and ease of use are strongly correlated, resulting in nurses' greater acceptance of EMRs. According to the study results, nurses are willing to use EMRs. Our result shows that overall, nurses find the EMR useful in their jobs, with 40.9% agreeing and 24.4% strongly agreeing. Whereas the overall easiness was 9.4% agreed and 24 strongly agreed. Nurses need to be prepared for a demanding workplace through their nursing curriculum. Nursing students and professionals should understand the importance of EMRs in ensuring high-quality, effective, and efficient patient care. It is imperative that nurses continuously improve their computer skills to keep up with technological advancements.

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Cloud computing usage by governmental organizations in Saudi Arabia based on Vision 2030

Alarefi¹

2023

10.5267/j.uscm

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Cloud computing (CC) has been used in several industries and domains. However, the use of CC in governmental organization is still limited. The purpose of this study is to examine the CC usage among governmental organizations in Saudi Arabia. The population of this study are Information technology (IT) professionals working for governmental organizations in Saudi Arabia. Purposive sampling was used to collect the data from the respondents. The questionnaire was distributed, and 211 valid responses were collected. The analysis was conducted using Smart PLS 4.0. The findings showed that perceived usefulness (PU), perceived ease of use (PEOU), external influence, security but not privacy have significant effects on CC usage. The findings also showed that technological readiness moderated the effect of PU, external influence, and security on CC usage. Decision makers are recommended to enhance the perception of the benefit of CC and conduct more training courses to ease the usage of CC.

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Cloud computing usage by governmental organizations in Saudi Arabia based on Vision 2030

Cited by 3 publications

References 48 publications

Selection of Technology Acceptance Model for Adoption of Industry 4.0 Technologies in Agri-Fresh Supply Chain

Selection of Technology Acceptance Model for Adoption of Industry 4.0 Technologies in Agri-Fresh Supply Chain

An Investigation of Nurses' Perceptions of the Usefulness and Easiness of Using Electronic Medical Records in Saudi Arabia: A Technology Acceptance Model

Cloud computing usage by governmental organizations in Saudi Arabia based on Vision 2030

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