Examining the Acceptance of WhatsApp Stickers Through Machine Learning Algorithms

Al-Maroof, Rana Saeed; Arpacı, İbrahim; Al-Emran, Mostafa; Salloum, Said A.; Shaalan, Khaled

doi:10.1007/978-3-030-47411-9_12

Cited by 24 publications

(23 citation statements)

References 40 publications

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“…The social influence refers to "The degree to which an individual perceives that most people who are important to him think he should or should not use the system" [78,79]. In some situations, a system may be used by people to meet the needs of other people, rather than to concentrate on their own beliefs and feelings [17,24,80]. Several studies have been carried out regarding the impact of social influence on the learners' e-learning adoption or acceptance [57,[81][82][83][84][85][86][87].…”

Section: Social Influence (Si)"mentioning

confidence: 99%

“…Several studies have been carried out regarding the impact of social influence on the learners' e-learning adoption or acceptance [57,[81][82][83][84][85][86][87]. Many studies conducted by many scholars, such as [17,24,57,83,[86][87][88] showed that subjective norm had a significant effect on the perceived usefulness and perceived ease of use of e-learning system. This gives rise to the hypotheses given below: H1a.…”

Section: Social Influence (Si)"mentioning

confidence: 99%

“…It has been found that these significant factors have an impact on the early acceptance [11] of the users of computer technology and their behavior in the future [6,[12][13][14][15] with respect to the use of web-based learning systems [16]. Since the technology acceptance model (TAM) has satisfactory explanatory power and its widespread popularity, it was used in various studies in the technology acceptance and adoption literature in the domain of IS implementation [17], particularly in terms of E-learning [18][19][20][21]. However, there is insufficient evidence to determine if this model is appropriate for E-learning in emerging countries and the Arab nations.…”

Section: Introductionmentioning

confidence: 99%

“…There are other issues inherent in TAM as well, for example, the irregularities in the previous studies, and its inefficiency in justifying the social influence on the acceptance of technology [8,22,23]. These limitations will be addressed in the study by extending TAM so that it incorporates other factors like social influence" [17], "perceived enjoyment" [24], "self-efficacy". The key objectives of this study are to cater to the limitations discussed earlier.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Investigating a theoretical framework for e-learning technology acceptance

Kurdi

Alshurideh

Salloum

2020

IJECE

Self Cite

126

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E-learning has gained recognition and fame in delivering and distributing educational resources, and the same has become possible with the occurrence of Internet and Web technologies. The research seeks to determine the factors that influence students' acceptance of E-learning and to find out the way these factors determine the students' intention to employ E-learning. A theoretical framework was developed based on the technology acceptance model (TAM). To obtain information from the 270 university students who utilized the E-learning system, a questionnaire was formulated. The results revealed that “social influence, perceived enjoyment, self-efficacy, perceived usefulness, and perceived ease of use” are the strongest and most important predictors in the intention of and students towards E-learning systems. The outcomes offer practical implications for practitioners, lawmakers, and developers in effective E-learning systems implementation to improve ongoing interests and activities of university students in a virtual E-learning atmosphere, valuable recommendations for E-learning practices are given by the research findings, and these may turn out to be as guidelines for the efficient design of E-learning systems.

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Section: Social Influence (Si)"mentioning

confidence: 99%

Section: Social Influence (Si)"mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigating a theoretical framework for e-learning technology acceptance

Kurdi

Alshurideh

Salloum

2020

IJECE

Self Cite

126

View full text Add to dashboard Cite

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“…Past studies have focused on the importance of e-learning and its implementation all over the world; some have focused on the continuous use of e-learning [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] and some on the effect of either teachers' or students' attitudes towards e-learning [20][21][22][23][24][25][26]. In other words, no studies have put forward the implementation of two models that focus on how the perceived interactivity of education technology influences teachers' and students' perceptions and urges them to continue using the technology.…”

Section: Introductionmentioning

confidence: 99%

The Continuous Intention to Use E-Learning, from Two Different Perspectives

2020

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During the recent vast growth of digitalization, e-learning methods have become the most influential phenomenon at higher educational institutions. E-learning adoption has proved able to shift educational circumstances from the traditional face-to-face teaching environment to a flexible and sharable type of education. An online survey was conducted, consisting of 30 teachers and 342 students in one of the universities in the United Arab Emirates. The results show that teachers’ and students’ perceived technology self-efficacy (TSE), ease of use (PEOU), and usefulness (PU) are the main factors directly affecting the continuous intention to use technology. Instructors’ technological pedagogical content knowledge (TPACK) and perceived organizational support (POS) positively affect the intention to use the technology, whereas students’ controlled motivation (CTRLM) has a greater influence on their intention to use the technology, due to the type of intrinsic and extrinsic motivation that they have and which they can develop throughout the process of learning. The findings support the given hypotheses. In addition, they provide empirical evidence of a relationship between perceived organizational support and perceived pedagogical content knowledge. In fact, they are considered the key factors that support the use of technology continuously.

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Is It Still Valid or Outdated? A Bibliometric Analysis of the Technology Acceptance Model and Its Applications From 2010 to 2020

Al-Emran

Granić

2021

Studies in Systems, Decision and Control

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Examining the Acceptance of WhatsApp Stickers Through Machine Learning Algorithms

Cited by 24 publications

References 40 publications

Investigating a theoretical framework for e-learning technology acceptance

Investigating a theoretical framework for e-learning technology acceptance

The Continuous Intention to Use E-Learning, from Two Different Perspectives

Is It Still Valid or Outdated? A Bibliometric Analysis of the Technology Acceptance Model and Its Applications From 2010 to 2020

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