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Evaluation of organizational culture in companies for fostering a digital innovation using q-rung picture fuzzy based decision-making model

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dc.citedby10
dc.contributor.authorAlbahri O.S.en_US
dc.contributor.authorAlamoodi A.H.en_US
dc.contributor.authorDeveci M.en_US
dc.contributor.authorAlbahri A.S.en_US
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorAl-Quraishi T.en_US
dc.contributor.authorMoslem S.en_US
dc.contributor.authorMohamad Sharaf I.en_US
dc.contributor.authorid57201013684en_US
dc.contributor.authorid57205435311en_US
dc.contributor.authorid55734383000en_US
dc.contributor.authorid57201009814en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid57196035672en_US
dc.contributor.authorid57203017976en_US
dc.contributor.authorid17435789800en_US
dc.date.accessioned2024-10-14T03:17:29Z
dc.date.available2024-10-14T03:17:29Z
dc.date.issued2023
dc.description.abstractDeveloping a comprehensive data-driven strategy for evaluating the organisational culture in companies to foster digital innovation involves a multi-criteria decision-making (MCDM) problem. This needs to consider various organisational culture characteristics that influence digital innovation success, assign significance weights to each characteristic, and recognise that distinct organisational cultures may excel in different aspects necessitates the proper handling of data variations. Hence, to provide organisations seeking to align cultural practises with digital innovation objectives with valuable insights, this study aims to develop an MCDM model for evaluating and benchmarking organisational culture in companies to foster digital innovation. The benchmarking decision matrix is formulated based on the intersection of evaluation characteristics and a list of organisational culture aspects in companies. The MCDM model is developed in two phases. Firstly, a new weighting model, q-rung picture fuzzy-weighted zero-inconsistency (q-RPFWZIC), is formulated for assessing the evaluation characteristics under the q-rung picture fuzzy sets environment. Secondly, the simple additive weighting (SAW) model is formulated for benchmarking the organisational culture in companies using the extracted weights of the evaluation characteristics. The results indicate that characteristic C6 (corporate entrepreneurship) has the highest weight, with a value of 0.161, while characteristic C3 (employee participation, agility and organizational structures) and C7 (digital awareness and necessity of innovations) has the lowest weight of 0.088. Company A2 secures the top rank with a score of 0.911, satisfying eight evaluation characteristics, whereas company A7 holds the last rank order, satisfying only one evaluation characteristic, obtaining a score of 0.101. In model evaluation, several scenarios were considered in a sensitivity analysis test based on a 100% increment in weight values for each characteristic to validate the reliability of the model results. � 2023 The Author(s)en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo102191
dc.identifier.doi10.1016/j.aei.2023.102191
dc.identifier.scopus2-s2.0-85172225374
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85172225374&doi=10.1016%2fj.aei.2023.102191&partnerID=40&md5=d0ff0b300544992ed3492595dcad56a7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/33943
dc.identifier.volume58
dc.publisherElsevier Ltden_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofHybrid Gold Open Access
dc.sourceScopus
dc.sourcetitleAdvanced Engineering Informatics
dc.subjectDigital transformation
dc.subjectMulti criteria decision-making
dc.subjectOrganizational culture
dc.subjectq-Rung fuzzy set
dc.subjectBenchmarking
dc.subjectData handling
dc.subjectDecision making
dc.subjectReliability analysis
dc.subjectSensitivity analysis
dc.subjectDecision-making modeling
dc.subjectDigital innovations
dc.subjectDigital transformation
dc.subjectMulti criteria decision-making
dc.subjectMulti-criteria decision-making models
dc.subjectMulticriteria decision-making
dc.subjectMulticriterion decision makings
dc.subjectOrganizational cultures
dc.subjectQ-rung fuzzy set
dc.subjectWeighting model
dc.subjectFuzzy sets
dc.titleEvaluation of organizational culture in companies for fostering a digital innovation using q-rung picture fuzzy based decision-making modelen_US
dc.typeArticleen_US
dspace.entity.typePublication
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