M-learning adoption of management students’: A case of India

Shukla, Sadhna

doi:10.1007/s10639-020-10271-8

Cited by 45 publications

(67 citation statements)

References 116 publications

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“…In the first and second articles, determinants that limit students’ intent towards the academic use of Facebook were explored [ 80 , 81 ]. In addition, students’ motivations for adopting mobile learning and determinants that affect behavioural intention to adopt mobile learning were explored using SEM and ANN [ 82 ]. The second set of studies that discussed SEM–ANN with social responsibility includes three ( n = 3) articles.…”

Section: Search Results and Statistical Information Of Articlesmentioning

confidence: 99%

“…PLS-SEM deals with an elaborate conceptual framework that consists of moderating and mediating models; thus, it is in line with the previous literature that deals with SEM in terms of understanding and predicting the determinants of constraints [ 14 ]. In conclusion, SEM detects linear and compensatory relationships amongst constraints to explain the effect mechanism amongst them [ 61 , 82 ].…”

Section: Discussionmentioning

confidence: 99%

“…To capture linear, testing hypothesis and nonlinear relationships amongst constructs, SEM and ANN analyses were combined to overcome the weaknesses of SEM [ 71 ]. Meanwhile, ANN helps assess the relative importance of the determinants of mobile app adoption in various industries [ 6 , 13 , 53 , 54 , 58 – 60 , 73 , 74 , 82 , 85 , 87 , 99 ]. In summary, using ANN with SEM provides a new perspective on building nonlinear models [ 7 , 65 ].…”

Section: Discussionmentioning

confidence: 99%

“…UTAUT factors, attitude to use, information quality, means of uncertainty reduction and channel characteristics) that influence the use of mobile applications in government services [ 73 , 75 ]. The results inferred from SEM show that perceived benefit, resource sharing, social cooperation, perceived enjoyment and UTAUT2 factors are the most influential determinants of Facebook use for educational issues, mHealth apps, and cryptocurrency adoption [ 76 , 80 – 82 , 89 , 98 ]. In addition, social responsibility exerts an effect on increasing the competitiveness of universities [ 16 ].…”

Section: Discussionmentioning

confidence: 99%

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Hybrid artificial neural network and structural equation modelling techniques: a survey

Albahri

Alnoor

Zaidan

et al. 2021

Complex Intell. Syst.

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Topical treatments with structural equation modelling (SEM) and an artificial neural network (ANN), including a wide range of concepts, benefits, challenges and anxieties, have emerged in various fields and are becoming increasingly important. Although SEM can determine relationships amongst unobserved constructs (i.e. independent, mediator, moderator, control and dependent variables), it is insufficient for providing non-compensatory relationships amongst constructs. In contrast with previous studies, a newly proposed methodology that involves a dual-stage analysis of SEM and ANN was performed to provide linear and non-compensatory relationships amongst constructs. Consequently, numerous distinct types of studies in diverse sectors have conducted hybrid SEM–ANN analysis. Accordingly, the current work supplements the academic literature with a systematic review that includes all major SEM–ANN techniques used in 11 industries published in the past 6 years. This study presents a state-of-the-art SEM–ANN classification taxonomy based on industries and compares the effort in various domains to that classification. To achieve this objective, we examined the Web of Science, ScienceDirect, Scopus and IEEE Xplore® databases to retrieve 239 articles from 2016 to 2021. The obtained articles were filtered on the basis of inclusion criteria, and 60 studies were selected and classified under 11 categories. This multi-field systematic study uncovered new research possibilities, motivations, challenges, limitations and recommendations that must be addressed for the synergistic integration of multidisciplinary studies. It contributed two points of potential future work resulting from the developed taxonomy. First, the importance of the determinants of play, musical and art therapy adoption amongst autistic children within the healthcare sector is the most important consideration for future investigations. In this context, the second potential future work can use SEM–ANN to determine the barriers to adopting sensing-enhanced therapy amongst autistic children to satisfy the recommendations provided by the healthcare sector. The analysis indicates that the manufacturing and technology sectors have conducted the most number of investigations, whereas the construction and small- and medium-sized enterprise sectors have conducted the least. This study will provide a helpful reference to academics and practitioners by providing guidance and insightful knowledge for future studies.

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Section: Search Results and Statistical Information Of Articlesmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Hybrid artificial neural network and structural equation modelling techniques: a survey

Albahri

Alnoor

Zaidan

et al. 2021

Complex Intell. Syst.

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“…Previous studies emphasize that learners believe that ML gives them a new way to experiment with new information technology (Liu et al, 2010). They also found that learners believed it assists them in knowing more things, looking for new information, answering questions and exploring more areas of interest (Hashim et al, 2015;Shukla, 2020;Thongsri et al, 2018). When learners believe it facilitates knowing many things and satisfies their desire for knowledge, it could significantly affect their ICU.…”

Section: Mla Affecting Learners' Icumentioning

confidence: 99%

Intention to continue using mobile learning: the effects of perceived values and role of locus of control

Magsayo

2021

IJILT

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PurposeThe study aims to determine the factor of perceived machine learning adoption (MLA) values that affect learners' intention to continue using (ICU), the extent of their relationships in the learners' ICU and the role of locus of control (LOC) in their relationship.Design/methodology/approachThe study employed a rigorous literature review of MLA studies that lead to a multidimensional value-based theoretical model. This model combined the theory of consumption and altruistic values. Simple descriptive statistics provide the frequency and percentage of the demographic profile. An orthogonalized approach was used to assess for investigating moderating effects. The data and model analysis used a convenience sample of 419 undergraduate perceptions of MLA value from rural higher education institutions (HEIs) in the Philippines.FindingsThe findings indicate that three perceived values (functional value (FUV), social value (SOV) and spiritual value (SPV)) of MLA significantly affect learners' ICU. Interestingly, the study found that LOC strengthens the positive relationship of FUV on learners' ICU.Originality/valueThe study is one of the few to provide evidence on using a multidimensional value-based adoption model in MLA. The study successfully integrates SPV to the concept of perceived value ignored in the theory of consumption value (TCV) and the role of LOC on FUV relationship to learners' ICU.

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Acceptance and Use of Mobile-Assisted Language Learning for Vocational College Students

Zhang

Chen

et al. 2022

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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M-learning adoption of management students’: A case of India

Cited by 45 publications

References 116 publications

Hybrid artificial neural network and structural equation modelling techniques: a survey

Hybrid artificial neural network and structural equation modelling techniques: a survey

Intention to continue using mobile learning: the effects of perceived values and role of locus of control

Acceptance and Use of Mobile-Assisted Language Learning for Vocational College Students

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