Prioritising Factors Influencing Service Quality at Durban University of Technology: AHP Approach

Green, Paul; Ramroop, Shaun

doi:10.1080/09718923.2014.11893321

Cited by 7 publications

(9 citation statements)

References 5 publications

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“…AHP approach has been used by many researchers for prioritizing influencing factors in various contexts. For example, Green and Ramroop (2014) applied AHP for prioritizing factors influencing service quality of a university. Sadeghi et al (2013) found the effective factors for organizational readiness in executing knowledge management, by using AHP.…”

Section: Methodsmentioning

confidence: 99%

An application of AHP for students’ perspectives on adopting MOOCs

Gupta¹

2019

10.5267/j.msl

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The aim of the present study is to find the relative importance of factors influencing the students' decisions to adopt Massive Open Online Courses (MOOCs). Eight sub-factors categorized under three main factors namely "benefits of MOOCs", "MOOCs features" and "social recognition", are considered for prioritization. The analytic hierarchy process (AHP) methodology is also employed to prioritize the factors. The primary data pertaining to pair-wise comparisons of various factors and sub-factors have been obtained from 250 students by using convenience sampling. The results indicate that academic recognition, followed by openness, autonomy and cost effectiveness of MOOCs are the most important aspects which students consider while deciding to learn through MOOCs.

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Section: Methodsmentioning

confidence: 99%

An application of AHP for students’ perspectives on adopting MOOCs

Gupta¹

2019

10.5267/j.msl

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“…We have used the AHP technique to prioritize the inhibiting and motivating factors influencing the adoption of AI-enabled teaching solutions by Indian teachers. Prior research indicates that the AHP technique has been widely used by researchers to prioritize or rank factors or dimensions in varied contexts such as service quality factors (Green & Ramroop, 2014); factors influencing organizational readiness (Sadeghi et al, 2013); factors influencing employee adoption of e-government ; influencing factors of the whistle-blowing intention of teachers (Gupta & Chaudhary, 2017); and factors influencing adoption on Massive Open Online Courses (Gupta, 2019). The AHP method employs pair-wise comparisons of criteria (or factors), on the basis of which the ranks or priorities of the factors are calculated.…”

Section: Methodology and Data Collection The Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Inhibiting and Motivating Factors Influencing Teachers’ Adoption of AI-Based Teaching and Learning Solutions: Prioritization Using Analytic Hierarchy Process

Gupta

Bhaskar²

2020

JITE:Research

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Aim/Purpose: The purpose of the present study is to prioritize the inhibiting and motivating factors underlying the adoption of AI based teaching and learning solutions by teachers in the higher education sector of India. Background: AI based teaching and learning solutions are amongst the most important educational innovations. The intervention of AI in instructional methods can result in personalized teaching and learning experiences. AI enabled teaching and learning systems can give teachers a better understanding regarding their students’ learning abilities, learning styles and progress. Methodology: The Analytic Hierarchy Process (AHP) is employed to find the relative importance of inhibiting and motivating factors. The primary data for making the pair-wise comparisons between the factors were obtained from a convenient sample of 32 teachers, teaching in various higher educational institutions (HEIs) in the National Capital Region (NCR) of Delhi, India. Contribution: Though, the acceptance of AI based solutions has been studied in other contexts such as retail, banking, ecommerce, and so on; nonetheless, the acceptance of AI in the education sector has not grabbed much attention of researchers. Hence the study has made worthwhile contributions to the literature as it has specifically focused on the adoption of AI based teaching methods by teachers in higher education Findings: The findings suggest that institutional barriers are the major inhibitors and recognition is the main motivator that affect teachers’ behaviour towards adopting AI based teaching solutions. Overall, the findings of the study highlight the importance of institutional support in terms of resources, time, and recognition that may be provided to the teachers so that they can willingly integrate AI based methodologies into their teaching. Recommendations for Practitioners: The study provides several implications for HEIs and developers of AI based educational solutions. The HEIs should provide adequate support to their teachers in terms of financial support, infrastructure and technical support. The developers should focus on developing such solutions that are compatible with the teachers’ existing work style. Recommendation for Researchers: Future studies can employ statistical techniques such as multiple regression analysis or structural equation modelling to examine the impact of these factors on the actual use behaviour of teachers regarding AI based teaching methods. More diversified samples that are statistically significant in size, can be considered to examine the teachers’ behaviour regarding AI based instructional methods. Impact on Society: AI technology can play a pivotal role in reshaping and remodeling higher education. AI is the technology of todays’ times that has the capability of transforming the instructional methods. The educators need to understand that nowadays, teaching and learning are heading towards creative styles that embrace the use of innovative technologies such as AI. Future Research: The adoption of AI in the field of education is at a very nascent stage in India, constant changes are likely to happen in the factors influencing the adoption of AI enabled teaching solutions. Future studies may come up with a more holistic model of factors to address this research problem.

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“…AHP is an MCDM technique which is applied for selecting alternatives or taking decisions on the basis of multiple criteria. Though AHP was designed for taking complex decisions, but it has been used by many researchers for prioritizing factors in various contexts, including service quality factors (Green and Ramroop, 2014), factors for organizational readiness in executing knowledge management (Sadeghi et al, 2013), factors influencing adoption of e-government , and influencing factors of whistle-blowing intention of teachers (Gupta and Chaudhary, 2017). The AHP technique involves breaking down the decision problem into a hierarchy consisting of at least three levels: goal, criteria, and alternatives (Saaty, 1980).…”

Section: Methodsmentioning

confidence: 99%

Artificial Intelligence for Governance in India: Prioritizing the Challenges using Analytic Hierarchy Process (AHP)

Gupta¹

2019

IJRTE

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The aim of the present study is to find the relative importance of related challenges of implementing artificial intelligence (AI) in governance within the context of India. Eight sub-dimensions of challenges categorized under three main dimensions are considered for prioritization. The analytic hierarchy process (AHP) methodology is employed to prioritize the challenges. The primary data pertaining to pair-wise comparisons of various factors and sub-factors has been obtained from 170 government officials by using convenience sampling. The results indicate that concerns related to data security, acquisition and storage are the major challenges in implementing AI assisted governance. Additionally, ethical considerations related to unethical use of data and lack of trust are other challenges which may act as barriers in diffusing AI in governance.

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Prioritising Factors Influencing Service Quality at Durban University of Technology: AHP Approach

Cited by 7 publications

References 5 publications

An application of AHP for students’ perspectives on adopting MOOCs

An application of AHP for students’ perspectives on adopting MOOCs

Inhibiting and Motivating Factors Influencing Teachers’ Adoption of AI-Based Teaching and Learning Solutions: Prioritization Using Analytic Hierarchy Process

Artificial Intelligence for Governance in India: Prioritizing the Challenges using Analytic Hierarchy Process (AHP)

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