Factors influencing cloud computing adoption for higher educational institutes in India: a fuzzy AHP approach

Sharma, Mahak; Gupta, Rajesh; Acharya, Padmanav

doi:10.1504/ijitm.2020.106215

Cited by 25 publications

(38 citation statements)

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“…Many researchers have highlighted that a sample ranging from three to ten organizations can be used to generalize the findings in one sector (Vaidya and Kumar, 2006;Baker and Edwards, 2012, pp. 10-21;Schmidt et al, 2015;Sharma et al, 2020b). In that line, five companies are contacted, and four of them allowed interaction about ACC in their setting.…”

Section: Swot-fahp-dematel Methods For Cloud Adoptionmentioning

confidence: 99%

“…It is worth noting that knowledge can be easily articulated with fuzzy sets. Literature has highlighted that numerous management, engineering and operations related decision problems can undoubtedly be resolved using FAHP (Sharma et al, 2020b). FAHP is applied in the present study to rank the identified factors (barriers and drivers).…”

Section: Swot-fahp-dematel Methods For Cloud Adoptionmentioning

confidence: 99%

“…Any influence of one factor over the other becomes a vital aspect of being researched on. Also, even though the cloud services have been available for over a decade, its penetration in developing countries like India is still in the early stage (Sharma et al, 2020b). The persistently evolving market, especially in developing countries, demands the professionals (potential adopters) to identify the key drivers and challenges in ACC.…”

Section: Introductionmentioning

confidence: 99%

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Quantifying SWOT analysis for cloud adoption using FAHP-DEMATEL approach: evidence from the manufacturing sector

Sharma

Sehrawat²

2020

JEIM

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PurposeThis study aims to identify the critical factors (barriers and drivers) influencing the adoption of cloud computing (ACC) in the manufacturing sector in India.Design/methodology/approachIn this study, a mixed methodology approach is used. Interviews are conducted to investigate factors (drivers and barriers) influencing the ACC, which are further categorized as controllable determinants (weaknesses and strengths) and uncontrollable determinants (threats and opportunities) using a SWOT analysis. Fuzzy analytic hierarchy process (FAHP) has been utilized to highlight the most critical drivers as well as barriers. Finally, decision-making trial and evaluation laboratory (DEMATEL) has been used to find the cause-effect relationships among factors and their influence on the decision of adoption.FindingsThe manufacturing sector is in the digital and value change transformation phase with Industry 4.0, that is, the next industrial revolution. The 24 critical factors influencing ACC are subdivided into strengths, weaknesses, opportunities and threats. The FAHP analysis ranked time to market, competitive advantage, business agility, data confidentiality and lack of government policy standards as the most critical factors. The cause-effect relationships highlight that time to market is the most significant causal factor, and resistance to technology is the least significant effect factor. The results of the study elucidate that the strengths of ACC are appreciably more than its weaknesses.Research limitations/implicationsThis study couples the technology acceptance model (TAM) with technology-organization-environment (TOE) framework and adds an economic perspective to examine the significant influences of ACC in the Indian manufacturing sector. Further, it contributes to the knowledge of ACC in general and provides valuable insights into interrelationships among factors influencing the decision and strategies of adoption in particular.Originality/valueThis is the first scholarly work in the Indian manufacturing sector that uses the analysis from SWOT and FAHP approach as a base for identifying cause-effect relationships between the critical factors influencing ACC. Further, based on the extant literature and analysis of this work, an adoption framework has been proposed that justifies that ACC is not just a technological challenge but is also an environmental, economic and organizational challenge that includes organizational issues, costs and need for adequate government policies.

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Section: Swot-fahp-dematel Methods For Cloud Adoptionmentioning

confidence: 99%

Section: Swot-fahp-dematel Methods For Cloud Adoptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantifying SWOT analysis for cloud adoption using FAHP-DEMATEL approach: evidence from the manufacturing sector

Sharma

Sehrawat²

2020

JEIM

Self Cite

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“…Prior studies have made a significant contribution in a few developing nations’ contexts (Low et al, 2011; Makena, 2013; Rawal, 2011; Senyo et al, 2016; Sharma et al, 2020). The study done by Senyo et al (2016) stated that firm size is not a significant contributor to CCA.…”

Section: Literature Reviewmentioning

confidence: 99%

“…But due to lack of IT infrastructure and change from the traditional system, they are hesitating to accept the change. Sharma et al (2020) conducted a study on CCA for higher educational institutes of India where a fuzzy Analytic Hierarchy Process (AHP) approach was utilized to identify the factors which will be impacting its adoption where they discussed technology, organization and economic factors. They also stated that there is a need to conduct survey-based research which should include a large population as well as similar study should be conducted in other specific sectors (like manufacturing, healthcare, etc.)…”

Section: Cloud Computing Adoptionmentioning

confidence: 99%

Cloud Computing Adoption for Healthcare: An Empirical Study Using SEM Approach

Baral

Verma

2021

FIIB Business Review

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Cloud computing has been adopted by many healthcare firms throughout the world especially in developed countries to enhance their service levels. The main objective of this study was to find the constructs from the prior literature review which influence the adoption of cloud computing from the prospering nation’s perspective. The main pillars of the theoretical framework are technology, organizational, environmental and ethical factors. The responses were collected from the employees or staff who were working in this sector with the help of a structured questionnaire. The analysis was performed utilizing SPSS 20.0 and AMOS 22.0. The hypothesis developed was tested utilizing a structural equation modelling approach. The findings indicated that the assumed variables each under technology, organization, environment and ethics have an impact on the dependent variable that is cloud computing adoption in the healthcare segment, thereby increasing the efficiency. The study is unique when compared to past studies as it considered ethical factors, thereby extending the cloud computing literature. It also provides a base for future studies and cloud technology development for a prospering nation perspective.

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RETRACTED ARTICLE: Learnings from Industry 4.0 for transitioning towards Industry 4.0+: challenges and solutions for Indian pharmaceutical sector

Sharma

Sehrawat²,

Giannakis

et al. 2023

Ann Oper Res

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Industry 4.0 (I4.0) is helping production units to become smarter using cyber-physical systems and cognitive intelligence. The advanced diagnostics with I4.0 technologies (I4.0t) help in making the process highly flexible, resilient and autonomous. Still, the adoption of I4.0t especially in emerging economies like India is at a very slow pace. The present research has used an integrated approach i.e., Analytical Hierarchy Process-Combinative Distance-Based Assessment-Decision-Making Trial and Evaluation Laboratory to propose a barrier solution framework using data from pharmaceutical manufacturing sector. The findings reveal that “Costly venture” is found to be the most critical deterrent while “Customer awareness and satisfaction” is one of the potential solutions for I4.0t adoption. Further, lack of standardisation and fair benchmarking policies especially in the context of developing economies needs immediate attention. This article concludes by proposing a framework which will help to move from I4.0 towards Industry 4.0 + (I4.0+) which emphasises on role of collaboration between man and machine. And leads to sustainable supply chain management.

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Factors influencing cloud computing adoption for higher educational institutes in India: a fuzzy AHP approach

Cited by 25 publications

References 0 publications

Quantifying SWOT analysis for cloud adoption using FAHP-DEMATEL approach: evidence from the manufacturing sector

Quantifying SWOT analysis for cloud adoption using FAHP-DEMATEL approach: evidence from the manufacturing sector

Cloud Computing Adoption for Healthcare: An Empirical Study Using SEM Approach

RETRACTED ARTICLE: Learnings from Industry 4.0 for transitioning towards Industry 4.0+: challenges and solutions for Indian pharmaceutical sector

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