A hybrid multi-criteria decision-making method for cloud adoption: Evidence from the healthcare sector

Sharma, Mahak; Sehrawat, Rajat

doi:10.1016/j.techsoc.2020.101258

Cited by 63 publications

(44 citation statements)

References 56 publications

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“…These elements are generally identified by literature review, expert opinions, and/or surveys. Some of the unique approaches have been use of thematic analysis [58], upper echelon theory [11], contingency theory [59], content analysis [52], strengths, weaknesses, opportunities, and threats (SWOT) analysis [30], idea engineering workshop [40,60], and Delphi technique [37,61]. One study [42] has defined the source, understanding, and interpretation for each variable.…”

Section: Elements or Constructs Or Variablesmentioning

confidence: 99%

“…This is done to improve the readability of the final model. Several studies have committed mistakes at this step either by adding extra edges [11,14,[43][44][45][46][47][48] or omitting edges [49][50][51][52] that have affected the reachability of the variables. Therefore, a new algorithm, reduced conical matrix (RCM), has been devised to remove maximum possible edges without affecting structure and reachability of variables, as explained in the fourth section.…”

Section: Reduced Conical Matrix (Rcm) and Final Ism Modelmentioning

confidence: 99%

“…In the area of supply chain and logistics, studies have focused on supplier relationship [9] and selection [44], food SCM [24,25], e-procurement [72], and reverse logistics [14,62,84], among others. In the field of information technology studies are conducted in the areas of building information modeling [21,93], cloud computing [37,52], e-commerce security [19], m-commerce [96], enterprise resource planning [45], supply chain management [94], and social networking sites [95]. Energy domain studies were in the area of bio-diesel [68], smart grid technologies [60], and solar energy [79].…”

Section: Domain Of Studymentioning

confidence: 99%

“…These variables are identified mostly through literature review, experts' opinions, and/or survey. Some of the unique approaches used to identify variables are thematic analysis [58], upper echelon theory [11], contingency theory [59], content analysis [52], best worst method [28], SWOT (strength, weakness, opportunity, and threat) analysis [30], idea engineering workshop [40,60], and Delphi technique [37,61].…”

Section: Variables Of Studymentioning

confidence: 99%

“…Implementation of this technique and conduction of brainstorming sessions with experts in previous studies [17,18] led to identification of some key challenges such as variables' identification, selection of decision makers and method of decision making, and unavailability of end-to-end software for ISM and MICMAC. Furthermore, the literature shows erroneous applications of steps of ISM such as wrong reachability matrix [19][20][21][22], wrong transitivity calculations [9,13,16,[23][24][25][26][27][28][29][30][31][32][33][34][35][36][37], incorrect level partitioning and wrong structure of the model [31,[38][39][40][41][42], and incorrect addition [11,14,[43][44][45][46][47][48] or reduction [49][50][51][52] of edges affecting the reachability of variables. An error in an earlier step generally leads to an error in subsequent steps.…”

Section: Introductionmentioning

confidence: 99%

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SmartISM: Implementation and Assessment of Interpretive Structural Modeling

Ahmad

Qahmash

2021

Sustainability

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Interpretive Structural Modeling (ISM) is a technique to establish the interrelationships between elements of interest in a specific domain through experts’ knowledge of the context of the elements. This technique has been applied in numerous domains and the list continues to grow due to its simplistic concept, while sustainability has taken the lead. The partially automated or manual application of this technique has been prone to errors as witnessed in the literature due to a series of mathematical steps of higher-order computing complexity. Therefore, this work proposes to develop an end-to-end graphical software, SmartISM, to implement ISM technique and MICMAC (Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (cross-impact matrix multiplication applied to classification)), generally applied along with ISM to classify variables. Further, a scoping review has been conducted to study the applications of ISM in the previous studies using Denyer and Tranfield’s (2009) framework and newly developed SmartISM. For the development of SmartISM, Microsoft Excel software has been used, and relevant algorithms and VBA (Visual Basic for Applications) functions have been illustrated. For the transitivity calculation the Warshall algorithm has been used and a new algorithm reduced conical matrix has been introduced to remove edges while retaining the reachability of variables and structure of digraph in the final model. The scoping review results demonstrate 21 different domains such as sustainability, supply chain and logistics, information technology, energy, human resource, marketing, and operations among others; numerous types of constructs such as enablers, barriers, critical success factors, strategies, practices, among others, and their numbers varied from 5 to 32; number of decision makers ranged between 2 to 120 with a median value of 11, and belong to academia, industry, and/or government; and usage of multiple techniques of discourse and survey for decision making and data collection. Furthermore, the SmartISM reproduced results show that only 29 out of 77 studies selected have a correct application of ISM after discounting the generalized transitivity incorporation. The outcome of this work will help in more informed applications of this technique in newer domains and utilization of SmartISM to efficiently model the interrelationships among variables.

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Section: Elements or Constructs Or Variablesmentioning

confidence: 99%

Section: Reduced Conical Matrix (Rcm) and Final Ism Modelmentioning

confidence: 99%

Section: Domain Of Studymentioning

confidence: 99%

Section: Variables Of Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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SmartISM: Implementation and Assessment of Interpretive Structural Modeling

Ahmad

Qahmash

2021

Sustainability

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An optimized novel public cloud system to secure the medical record from third parties

Singh

Jha

2022

Concurrency and Computation

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Nowadays, modern technologies are growing rapidly by advancing their application day by day. Moreover, the Internet of Things (IoT) is well utilized in many applications for sensing and information gathering purposes. Considering this, medical applications have used the advances of IoT facilities in sensing the disease rate in humans. After sensing, the sensed data is stored in the cloud system, so securing the cloud system is the more required task to maintain the privacy of the patient's data. But, in front of malicious activities, securing the data is not easy. So, the present research has proposed a novel African buffalo‐based International Data Encryption (ABIDE) public cloud system to secure the medical database during the data transmission. The developed technique is utilized in a public cloud system. The main objective of this research is to secure medical data during transmission. Moreover, the implementation of the proposed ABIDE algorithm is done in the MATLAB environment. Consequently, the performance of the developed technique is compared with existing methods in terms of resource usage, encryption time, decryption time and so forth. Therefore, the proposed model has attained the finest confidential rate of 98.98%, throughput 97.86% and less processing time of 4 ms.

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How to improve information technology strategic planning effectiveness using balanced scorecard, risk and maturity analysis, case study health information technology? A qualitative study

Moinzad

Akbarzadeh

2022

Health Science Reports

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Background and Aims Although many health strategic plans have been developed by scholars and organizations, they still suffer from a limited view. Since most health‐related strategies in the future will depend on information technology (IT), as the main driver of today's industry, technology, and society, IT merits attention in health strategic plans. While the majority of the health strategic plan developed based on the interviews and questioner and these plans didn't consider the role of IT in their actions, this research will develop a framework to integrate risk and maturity analysis with the strategic planning process in health information technology strategic plan. Methods The present research introduces an integrated framework based on a balanced scorecard (BSC) and control objectives for information and related technologies (COBIT). Also, The American Productivity & Quality Centre framework and COBIT were employed in this model to define the processes and activities of health IT (HIT) organizations. The organization's maturity and risk are analyzed in terms of information and management criteria using BSC, COBIT, and the analytical hierarchy process. Results Later this model was implemented in a Remote Health care System to improve the strategic management process for this technology. Using this framework, 17 business goals have been developed and presented for the case. Also, the total related risk was 48% and the maturity level was at 1/18. The results are presented as decision‐making parameters and strategies for successful IT implementation. Conclusion The presented framework provides deeper insight for the decision‐maker through integrating risk and maturity analysis in the HIT strategic planning process. The results are presented as decision‐making parameters and strategies for successful IT implementation. These strategies help investors decide about resource allocation based on the risk‐taking capability, certainty, and uncertainty results of the plan.

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A hybrid multi-criteria decision-making method for cloud adoption: Evidence from the healthcare sector

Cited by 63 publications

References 56 publications

SmartISM: Implementation and Assessment of Interpretive Structural Modeling

SmartISM: Implementation and Assessment of Interpretive Structural Modeling

An optimized novel public cloud system to secure the medical record from third parties

How to improve information technology strategic planning effectiveness using balanced scorecard, risk and maturity analysis, case study health information technology? A qualitative study

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