Prioritising and ranking critical factors for sustainable cloud ERP adoption in SMEs

Bharathi, S. Vijayakumar; Mandal, Tanuja

doi:10.1504/ijal.2015.071723

Cited by 16 publications

(22 citation statements)

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“…At present, it has been combined with many MCDM methods such as TOPSIS [36,37], VIKOR [38], Multi-Objective Optimization by Ratio Analysis (MOORA) [39], COmbinative Distance-based Assessment (CODAS) [40], PROMETHEE [41], TODIM (an acronym in Portuguese of interactive and multicriteria decision-making) [37], AHP [42], BWM [43] and Data Envelopment Analysis (DEA) [44]. 1] are two TFNs, we can convert the Z-number to an ordinary fuzzy number [45]. Firstly, the second part (reliability) can be converted into a crisp number by Equation (4):…”

Section: Z-numbermentioning

confidence: 99%

“…Today's organizations, regardless of their size and business scope, pay more and more attention to the maintenance of competitiveness and the establishment of a sustainable environment [1]. World Commission on Environment and Development of the United Nations Brundtland defined sustainability development as "development that meets the needs of the present without compromising the ability of Motivated by these analyses, this study presents a Z-number-based DNMA (Z-DNMA) method for the identification of the sustainable CSPs.…”

Section: Introductionmentioning

confidence: 99%

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Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination

et al. 2020

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The sustainable development of cloud service providers (CSPs) is a significant multiple criteria decision making (MCDM) problem, involving the intrinsic relations among multiple alternatives, (quantitative and qualitative) decision criteria and decision-experts for the selection of trustworthy CSPs. Most existing MCDM methods for CSP selection incorporated only one normalization technique in benefit and cost criteria, which would mislead the decision results and limit the applications of these methods. In addition, these methods did not consider the reliability of information given by decision-makers. Given these research gaps, this study introduces a Z-number-based double normalization-based multiple aggregation (DNMA) method to tackle quantitative and qualitative criteria in forms of benefit, cost, and target types for sustainable CSP development. We extend the original DNMA method to the Z-number environment to handle the uncertain and unreliability information of decision-makers. To make trade-offs between normalized criteria values, we develop a Gini-coefficient based weighting method to replace the mean-square-based weighting method used in the original DNMA method to enhance the applicability and isotonicity of the DNMA method. A case study is conducted to demonstrate the effectiveness of the proposed method. Furthermore, comparative analysis and sensitivity analysis are implemented to test the stability and applicability of the proposed method.Sustainability 2020, 12, 3410 2 of 17 future generations to meet their own needs" [2]. Sustainability requires sustainable business practices. For doing so, information systems play an important role in the organization transition towards sustainability initiatives. The sustainable information systems have been considered as an opportunity for organizations to improve productivity, reduce costs, and increase profitability [3]. The flexible, elastic and agile nature of cloud computing provides an opportunity for governmental, academic and business organizations to consider migrating their existing applications to cloud environments to make their business processes agile with minimal cost and management effort [4]. Due to the increase in the number of cloud service providers (CSPs) offering functionally similar cloud services with varying cost, features and quality, it becomes extremely complex and burdensome to select a dependable, scalable, sustainable and high cost-effective cloud service for consumers to fulfil and satisfy their requirements and business strategies. There is a pressing need of comprehensive techniques to help them for the sustainable CSP development [5,6].Sustainable CSP development can be formulated as a multicriteria decision-making (MCDM) problem [5]. It involves the intrinsic relations among multiple alternatives, (quantitative and qualitative) decision criteria and experts for selecting the trustworthy CSPs. Moreover, the CSP evaluation data often involves uncertain, unreliability, multi-scale and imprecise weights of quality of service (QoS)...

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Section: Z-numbermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination

et al. 2020

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“…It shows that all the countries are interested in adopting CC for SMEs. Tools and techniques used in the past research studies were as follows: case study approach (Sultan, 2011;Wang and He, 2014), conceptual model (Arsovski et al, 2015;Sharma and Shah, 2015), qualitative analysis (Alshamaila et al, 2013;Bharathi and Mandal, 2015;Grubisic, 2014;Ross and Blumenstein, 2015;Wakunuma and Masika, 2017), quantitative analysis (Carcary et al, 2014;Doherty et al, 2015;Gupta et al, 2013;Li et al, 2015;Sharma et al, 2010) and combination of qualitative plus quantitative analysis (Opara-Martins et al, 2016). All these research articles are discussed below.…”

Section: Cca In Smesmentioning

confidence: 99%

“…To access CC for SMEs, Alshamaila et al (2013) carried out a qualitative study focussing on the service providers and SMEs and highlighted that competitive pressure is not significant. Bharathi and Mandal (2015) analysed the critical factors using AHP and the significant factors identified were as follows: the cost of implementation, maintenance cost and fees of subscription. Grubisic (2014) employed AHP to explore the readiness of market for adopting cloud as the future platform for ERP.…”

Section: Cca In Smesmentioning

confidence: 99%

To investigate the determinants of cloud computing adoption in the manufacturing micro, small and medium enterprises

Raut

Gardas²,

Narkhede

et al. 2019

BIJ

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Purpose The purpose of this paper is to identify the critical factors influencing the cloud computing adoption (CCA) in the manufacturing micro, small and medium enterprises (MSMEs) by employing a decision-making trial and evaluation laboratory (DEMATEL) methodology. Design/methodology/approach Through literature review and expert opinions, 30 significant factors were identified, and then a DEMATEL approach was applied for exploring the cause–effect relationship between the factors. Findings The results of study highlighted that five factors, namely, “hardware scalability and standardisation”, “cost (subscription fees, maintenance cost and implementation cost (CS1)”, “innovation”, “installation and up gradation (CS28)”, and “quality of service” were the most significant factors influencing the CCA in the case sector. Research limitations/implications The DEMATEL model was developed by considering expert inputs, and these inputs could be biased which can influence the reliability of the model. This study guides the organisational managers, cloud service providers and governmental organisations in formulating the new policies/strategies or modifying the existing ones for the effective CCA in the case sector. Originality/value For the first time. interdependency between the critical factors influencing CCA was discussed by employing the DEMATEL approach in the Indian manufacturing MSMEs context.

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“…While some researchers opine that adopting and adapting of technology is no longer an option now, it is rather a requirement (Bharathi, Vaidya, & Parikh, 2012). On the others hand others find that there is resistance and other change related outcomes in the organisation reduces usage of ERP (Mayeh, Ramayah, & Mishra, 2016;Samuel & Kumar, 2014;Lambeck, Müller, Fohrholz, & Leyh, 2014;Arekete, Ifinedo, & Akinnuwesi, 2015).…”

Section: People Factor Influencing Erp Success In Manufacturing Sectormentioning

confidence: 99%

Journey of ERP from Manufacturing to Education Industry

Mitra

Mishra

2018

JTMGE

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Enterprise Resource Planning (ERP) is a concept used to integrate the business process into one particular software in order to reduce work load. The technology had a very modest beginning and its popularity and efficiency is increasing day by day. This conceptual paper provides a historical sketch of the evolution of ERP and its journey from manufacturing set up to service and education sector. This study also intends to explore factors which leads to ERP usage in manufacturing, service and technical education institute. Finally, finds out certain gray areas of research in education industry.

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Prioritising and ranking critical factors for sustainable cloud ERP adoption in SMEs

Cited by 16 publications

References 0 publications

Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination

Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination

To investigate the determinants of cloud computing adoption in the manufacturing micro, small and medium enterprises

Journey of ERP from Manufacturing to Education Industry

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