The Impact of Enhancing the Academic Performance on Student Satisfaction of Private Business Faculties: New Business Model for Egyptian Private Universities

Sheikh, Samia El; Halim, Yasser Tawfik; Hamdy, H. I.; El-Deeb, Mohamed Samy

doi:10.21608/acj.2020.121759

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…Mobile Information Systems some companies to participate in the sharing economy is not clear. Coupled with the misuse of the concept of sharing and the lack of theoretical analysis framework, some sharing economy practices cannot be developed sustainably [17]. is study analyzes the market size of key areas of China's sharing economy, as listed in Tables 1 and 2.…”

Section: E Development Of Sharing Economy and New Businessmentioning

confidence: 99%

Sharing Economy and New Business Model Development Based on Internet of Things Big Data

Yin

2022

Mobile Information Systems

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The sharing economy and new business models have emerged as a result of the economy’s rapid growth in recent years. The sharing economy and innovative business models have enabled people to transact with one another, saving both time and money. The growth has been aided by the introduction of IoT big data. This study will look at how to use big data from the Internet of Things to examine the growth of the sharing economy and new business models. This study proposes a BP neural network algorithm based on the big data of the Internet of Things (IoT), which can not only effectively classify a large amount of data in the sharing economy but also predict the development direction of the sharing economy and new business models. The experimental results of this study show that the economic benefit of shared office in 2017 is 11 billion yuan, and the economic benefit of shared office in 2018 is 20.6 billion yuan, an increase of 87.3% in 2018 compared with 2017. The economic benefit of knowledge and skills in 2017 was 138.2 billion yuan, and the economic benefit of shared office in 2018 was 235.3 billion yuan, an increase of 70.3% in 2018 compared with 2017. It can be seen that the economic benefits brought by the sharing economy to the country are very high, and there is also a lot of room for growth. Therefore, based on the background of IoT big data, it is essential to conduct research on the development of sharing economy and new business models.

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Section: E Development Of Sharing Economy and New Businessmentioning

confidence: 99%

Sharing Economy and New Business Model Development Based on Internet of Things Big Data

Yin

2022

Mobile Information Systems

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“…With the expansion of the private universities in Egypt, competition between the higher education institutions became more severe. As a competitive advantage, faculty performance undergoes continuous assessment and monitoring by the human resources departments ( 15 ). Besides, as a requirement for their promotion, faculty members in Egypt are overwhelmed with scholar productivity, particularly, the international peer-reviewed publication, which is also required to increase the ranking of their universities.…”

Section: Introductionmentioning

confidence: 99%

Occupational Burnout and Productivity Loss: A Cross-Sectional Study Among Academic University Staff

Amer

Elotla

Ameen

et al. 2022

Front. Public Health

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BackgroundBurnout has been endorsed with serious negative health- and work-related outcomes. This study is aimed to assess the prevalence of burnout and its association with work productivity among academic staff.MethodsThis cross-sectional study involved 240 academic staff working at a public university in Egypt. Participants were invited to complete a web-based questionnaire involving basic personal, health, and work-related characteristics. Besides, Maslach Burnout Inventory-Human Services Survey (MBI-HSS) was used to assess occupational burnout dimensions (i.e., emotional exhaustion “EE,” depersonalization “DP,” and personal accomplishment “PA”), while work productivity was assessed with the Health and Work Performance Questionnaire (HPQ).ResultsIn total, 28% of respondents scored high in EE [95% confidence interval (CI): 22.5–33.8%], 18.3% high in DP (95% CI: 13.8–3.6%), and 88.3% scored low in PA (95% CI: 83.8–91.9%). Seventy percent of respondents scored high in only one burnout dimension, 21.7% scored high in two dimensions, while 7.1% scored high in all three dimensions. Multivariable analysis showed that EE was the only burnout dimension that showed a statistically significant association between absenteeism and presenteeism rates. The absenteeism rates among respondents with moderate and high EE were 2.1 and 3.3 times the rates among those with low EE, respectively. Likewise, the presenteeism rates among respondents with moderate and high EE were 2.4 and 4.7 times the rates among those with low EE, respectively.ConclusionsAcademic staff showed a high prevalence of at least one burnout dimension. Moderate and high EE scores were significantly associated with increased productivity loss when compared to low EE.

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“…Adding the marks of all courses and then dividing this value by the number of courses and multiplying by 100, this value reflects the percentage of student marks in the program; then it is translated into an award degree such as (excellent, very good, good, pass or fail). The second method is to use the GPA [4]. Each student's final percentage is translated into a letter that masks all differences in the final score obtained within that letter.…”

Section: Introductionmentioning

confidence: 99%

Converting cumulative grade point average to an equivalent percentage value based on a fuzzy logic

Fattoh

Mousa²,

Safwat³

2021

IJEECS

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The graduates who have finished their study program will be given a merit award and their award certificates will be graded in accordance with the degree of their academic accomplishment. The awards are generally offered using two methods; one is by the cumulative grade point average (CGPA) and the other is by the average percentage of all marks for the students. The problem is when assigning a course final grade; each student's final percentage is translated to a letter, allowing the discrepancy within the same letter grade range in the final ranking. If two students have the same final score, that means equal results. However, this equality can be false if one student hits a percentage of the highest grade, while the second student earns a percentage of the lowest grade of the same letter grade. This paper introduced a new equation that transforms between the awarded cumulative grade point average and the awarded percentage ranking based on fuzzy system. The proposed approach was tested using three actual benchmarks collected from three different colleges in Beni-Suef university. The obtained results reflects the effect of the fuzzy logic in helping converting form CGPA measures to percentage measure in educational systems.

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The Impact of Enhancing the Academic Performance on Student Satisfaction of Private Business Faculties: New Business Model for Egyptian Private Universities

Cited by 3 publications

References 27 publications

Sharing Economy and New Business Model Development Based on Internet of Things Big Data

Sharing Economy and New Business Model Development Based on Internet of Things Big Data

Occupational Burnout and Productivity Loss: A Cross-Sectional Study Among Academic University Staff

Converting cumulative grade point average to an equivalent percentage value based on a fuzzy logic

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