Resilient sustainable investment in digital education technology: A stakeholder-centric decision support model under uncertainty

[1]  A. Naderi Efficiency measurement of higher education units using multilevel frontier analysis , 2022, Journal of Productivity Analysis.

[2]  Bhaskar B. Gardas,et al.  Role of cloud computing technology in the education sector , 2021, Journal of Engineering, Design and Technology.

[3]  Ömer Faruk Görçün,et al.  Evaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique , 2021 .

[4]  Anett Erdmann,et al.  Digital Transformation of Universities: The Influence of COVID-19 and Students’ Perception , 2021, Multidisciplinary Journal for Education, Social and Technological Sciences.

[5]  P. Wanke,et al.  Measuring higher education performance in Brazil: government indicators of performance vs ideal solution efficiency measures , 2021, International Journal of Productivity and Performance Management.

[6]  Hamed Fazlollahtabar,et al.  Rough Best-Worst Method for Supplier Selection in Biofuel Companies based on Green criteria , 2021, Operational Research in Engineering Sciences: Theory and Applications.

[7]  J. Kim,et al.  A Comparison of Faculty and Student Acceptance Behavior toward Learning Management Systems , 2021, International journal of environmental research and public health.

[8]  G. M. Alam,et al.  Online technology: Sustainable higher education or diploma disease for emerging society during emergency—comparison between pre and during COVID-19 , 2021, Technological Forecasting and Social Change.

[9]  Turan Paksoy,et al.  A Novel Methodology for Prioritizing Zero-Carbon Measures for Sustainable Transport , 2021, Sustainable Production and Consumption.

[10]  Ali Ebadi Torkayesh,et al.  “A multi-tier sustainable food supplier selection model under uncertainty” , 2021, Operations Management Research.

[11]  Md. Arafatur Rahman,et al.  EduChain: CIA-Compliant Blockchain for Intelligent Cyber Defense of Microservices in Education Industry 4.0 , 2021, IEEE Transactions on Industrial Informatics.

[12]  Qaisar Khan,et al.  Einstein Geometric Aggregation Operators using a Novel Complex Interval-valued Pythagorean Fuzzy Setting with Application in Green Supplier Chain Management , 2021 .

[13]  Sujit Das,et al.  Career selection of students using hybridized distance measure based on picture fuzzy set and rough set theory , 2021 .

[14]  Dragan Pamucar,et al.  A new intelligent MCDM model for HCW management: The integrated BWM-MABAC model based on D numbers , 2021, Expert Syst. Appl..

[15]  Dragan Pamucar,et al.  Application of a D Number based LBWA Model and an Interval MABAC Model in Selection of an Automatic Cannon for Integration into Combat Vehicles , 2021 .

[16]  Burak Ayçiçek,et al.  Investigating Stakeholders’ Views on Technology Integration: The Role of Educational Leadership for Sustainable Inclusive Education , 2020 .

[17]  Anish Sachdeva,et al.  Risk analysis of cutting system under intuitionistic fuzzy environment , 2020 .

[18]  N. Moşteanu USING INTERNET AND EDUTECH BECOME A PRIMARY NEED RATHER THAN A LUXURY - THE REALITY: A NEW SKILLED EDUCATIONAL SYSTEM - DIGITAL UNIVERSITY CAMPUS , 2020 .

[19]  Jorge Calero,et al.  Is the use of ICT in education leading to higher student outcomes? Analysis from the Spanish Autonomous Communities , 2020, Comput. Educ..

[20]  Gustavo Ferro,et al.  Higher Education Efficiency Frontier Analysis: A Review of Variables to Consider , 2020 .

[21]  Fatih Ecer,et al.  PRIORITIZING THE WEIGHTS OF THE EVALUATION CRITERIA UNDER FUZZINESS: THE FUZZY FULL CONSISTENCY METHOD – FUCOM-F , 2020 .

[22]  Muhammad Riaz,et al.  Certain properties of soft multi-set topology with applications in multi-criteria decision making , 2020, Decision Making: Applications in Management and Engineering.

[23]  Shankar Chakraborty,et al.  An integrated D-MARCOS method for supplier selection in an iron and steel industry , 2020 .

[24]  M. Manuel,et al.  Sustainable participatory processes of education technology development , 2020 .

[25]  Edmundas Kazimieras Zavadskas,et al.  Modelling Procedure for the Selection of Steel Pipes Supplier by Applying Fuzzy AHP Method , 2020 .

[26]  Angela Roth,et al.  Development of a classification framework for technology based retail services: a retailers’ perspective , 2020 .

[27]  Ling Li,et al.  Education supply chain in the era of Industry 4.0 , 2020, Systems Research and Behavioral Science.

[28]  Analysis of Static and Dynamic Efficiency for Sustainable Growth of Edu-Tech Companies , 2020, Journal of logistics, informatics and service science.

[29]  Ibrahim Badi,et al.  Supplier selection for steelmaking company by using combined Grey-Marcos methods , 2020 .

[30]  Mikhail V. Vinichenko,et al.  Technologies of improving the university efficiency by using artificial intelligence: motivational aspect , 2020 .

[31]  Aleksandar Maksimović,et al.  Evaluation software of project management used measurement of alternatives and ranking according to compromise solution (MARCOS) method , 2020 .

[32]  Jamal Abdul Nasir Ansari,et al.  Exploring the role of social media in collaborative learning the new domain of learning , 2020, Smart Learning Environments.

[33]  J. Goldman,et al.  Nothing soft about ‘soft skills’: core competencies in quality improvement and patient safety education and practice , 2020, BMJ Quality & Safety.

[34]  Prasenjit Chatterjee,et al.  Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS) , 2020, Comput. Ind. Eng..

[35]  D. Burgos,et al.  Are MOOCs Open Educational Resources? A literature review on history, definitions and typologies of OER and MOOCs , 2019, Open Praxis.

[36]  O. Karintseva,et al.  Disruptive technologies for the transition of digital economies towards sustainability , 2019, Economic Annals-ХХI.

[37]  Birgul Kutlu,et al.  Examination of students' acceptance of and intention to use learning management systems using extended TAM , 2019, Br. J. Educ. Technol..

[38]  Allan H. K. Yuen,et al.  Student satisfaction with learning management systems: A growth model of belief and use , 2019, Br. J. Educ. Technol..

[39]  Nikola Marangunic,et al.  Technology acceptance model in educational context: A systematic literature review , 2019, Br. J. Educ. Technol..

[40]  Prasenjit Chatterjee,et al.  An Integrated Multi-Attribute Model for Evaluation of Sustainable Mobile Phone , 2019, Sustainability.

[41]  Justin M. Weinhardt,et al.  Revolutionizing training and education? Three questions regarding massive open online courses (MOOCs) , 2019, Human Resource Management Review.

[42]  Ronny Scherer,et al.  Is there a gender gap? A meta-analysis of the gender differences in students' ICT literacy , 2019, Educational Research Review.

[43]  Chiara Succi,et al.  Walk the talk: soft skills’ assessment of graduates , 2019, European Journal of Management and Business Economics.

[44]  Mohammad Nurunnabi,et al.  The Impact of Social Media on Learning Behavior for Sustainable Education: Evidence of Students from Selected Universities in Pakistan , 2019, Sustainability.

[45]  Alejandro Valencia-Arias,et al.  Approach to M-learning Acceptance Among University Students , 2019, The International Review of Research in Open and Distributed Learning.

[46]  Vikas Kumar,et al.  Social Media in Higher Education: A Framework for Continuous Engagement , 2019, Int. J. Inf. Commun. Technol. Educ..

[47]  Morteza Yazdani,et al.  A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis , 2019, Expert Syst. Appl..

[48]  Priscilla M. Regan,et al.  Ethical challenges of edtech, big data and personalized learning: twenty-first century student sorting and tracking , 2018, Ethics and Information Technology.

[49]  Vitaliy Mezhuyev,et al.  Technology Acceptance Model in M-learning context: A systematic review , 2018, Comput. Educ..

[50]  Brian Scassellati,et al.  Social robots for education: A review , 2018, Science Robotics.

[51]  John Coombes,et al.  Competencies for fresh graduates’ success at work: Perspectives of employers , 2018, Industry and Higher Education.

[52]  Jukka Heikkonen,et al.  Future Educational Technology with Big Data and Learning Analytics , 2018, 2018 IEEE 27th International Symposium on Industrial Electronics (ISIE).

[53]  Eleonora Bottani,et al.  A QFD-ANP Method for Supplier Selection with Benefits, Opportunities, Costs and Risks Considerations , 2018, Int. J. Inf. Technol. Decis. Mak..

[54]  P. C. Nagasubramani,et al.  Impact of modern technology in education , 2018 .

[55]  Lauro Osiro,et al.  A group decision model based on quality function deployment and hesitant fuzzy for selecting supply chain sustainability metrics , 2018 .

[56]  Ali M. Abdulshahed,et al.  A CASE STUDY OF SUPPLIER SELECTION FOR A STEELMAKING COMPANY IN LIBYA BY USING THE COMBINATIVE DISTANCE-BASED ASSESSMENT (CODAS) MODEL , 2018 .

[57]  Tonia A. Dousay,et al.  All Things Considered: Educational Radio as the First MOOCs , 2018, TechTrends.

[58]  Majlinda Fetaji,et al.  Analyses of Impacting Factors of ICT in Education Management: Case Study , 2018 .

[59]  Shafiq Ul Rehman,et al.  Internet of Things in Higher Education: A Study on Future Learning , 2017 .

[60]  Sherry Y. Chen,et al.  The Influences of the 2D Image-Based Augmented Reality and Virtual Reality on Student Learning , 2017, J. Educ. Technol. Soc..

[61]  Madjid Tavana,et al.  An application of an integrated ANP–QFD framework for sustainable supplier selection , 2017 .

[62]  Prasenjit Chatterjee,et al.  Integrated QFD-MCDM framework for green supplier selection , 2017 .

[63]  Francisco Rodrigues Lima Junior,et al.  A multicriteria approach based on fuzzy QFD for choosing criteria for supplier selection , 2016, Comput. Ind. Eng..

[64]  Rupert Ward,et al.  Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors , 2016, Comput. Hum. Behav..

[65]  C. Kivunja The Efficacy of Social Media Technologies in Academia: A Pedagogical Bliss or Digital Fad? , 2015 .

[66]  Wonjoon Kim The Current Transition in Management of Technology Education: The Case of Korea , 2015 .

[67]  Bui Cong Cuong,et al.  Picture fuzzy sets , 2015 .

[68]  Hema Date,et al.  Understanding determinants of cloud computing adoption using an integrated TAM-TOE model , 2015, J. Enterp. Inf. Manag..

[69]  Ronald R. Yager,et al.  Pythagorean Membership Grades, Complex Numbers, and Decision Making , 2013, Int. J. Intell. Syst..

[70]  J. Scott Sutterfield,et al.  Supplier selection using QFD: a consumer products case study , 2012 .

[71]  Jeffrey James,et al.  Low-Cost Computers for Education in Developing Countries , 2010, Social indicators research.

[72]  Vicenç Torra,et al.  Hesitant fuzzy sets , 2010, Int. J. Intell. Syst..

[73]  Nabil Sultan,et al.  loud computing for education : A new dawn ? , 2009 .

[74]  Jerry M. Mendel,et al.  Interval Type-2 Fuzzy Logic Systems Made Simple , 2006, IEEE Transactions on Fuzzy Systems.

[75]  Rehan Sadiq,et al.  Estimating risk of contaminant intrusion in water distribution networks using Dempster–Shafer theory of evidence , 2006 .

[76]  H. Coates,et al.  A Critical Examination Of The Effects Of Learning Management Systems On University Teaching And Learning , 2005 .

[77]  G. Smith How green is technology? The paradox of online sustainable education , 2004 .

[78]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[79]  Mordechai Sokolov,et al.  Technology's impact on society: The issue of mass-customized education , 2001 .

[80]  Thomas V. Scannell,et al.  Success Factors for Integrating Suppliers into New Product Development , 1997 .

[81]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[82]  Grégoire Rousseau,et al.  Educating the Commons and Commoning Education: Thinking Radical Education with Radical Technology , 2021, Post-Digital, Post-Internet Art and Education.

[83]  J. Wątróbski,et al.  STUDY TOWARDS THE TIME-BASED MCDA RANKING ANALYSIS – A SUPPLIER SELECTION CASE STUDY , 2021, Facta Universitatis, Series: Mechanical Engineering.

[84]  D. Pamučar,et al.  D NUMBERS – FUCOM – FUZZY RAFSI MODEL FOR SELECTING THE GROUP OF CONSTRUCTION MACHINES FOR ENABLING MOBILITY , 2021, Facta Universitatis, Series: Mechanical Engineering.

[85]  Mahmut Bakır,et al.  REGIONAL AIRCRAFT SELECTION WITH FUZZY PIPRECIA AND FUZZY MARCOS: A CASE STUDY OF THE TURKISH AIRLINE INDUSTRY , 2021, Facta Universitatis, Series: Mechanical Engineering.

[86]  Amin Mahmoudi,et al.  Ordinal Priority Approach (OPA) in Multiple Attribute Decision-Making , 2020, Appl. Soft Comput..

[87]  William Ratjeana Malatji,et al.  Understanding the usage, Modifications, Limitations and Criticisms of Technology Acceptance Model (TAM) , 2020 .

[88]  Sohail Iqbal Malik,et al.  A Survey of Internet of Things (IoT) in Education: Opportunities and Challenges , 2019, Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications.

[89]  Xinyang Deng,et al.  D-AHP method with different credibility of information , 2017, Soft Computing.

[90]  Muhammad Yasir,et al.  A Survey on Role of Internet of Things in Education , 2017 .

[91]  Mehdi Keshavarz Ghorabaee,et al.  A NEW COMBINATIVE DISTANCE-BASED ASSESSMENT(CODAS) METHOD FOR MULTI-CRITERIA DECISION-MAKING , 2016 .

[92]  K. Dangwal,et al.  Digital Pedagogy in Teacher Education , 2016 .

[93]  Jimisiah Jaafar,et al.  Supplier Performance Management at Higher Education Institutes , 2015 .

[94]  Simin Ghavifekr,et al.  Factors affecting use of e-learning platform (SPeCTRUM) among University students in Malaysia , 2015, Education and Information Technologies.

[95]  Sankaran Mahadevan,et al.  A new decision-making method by incomplete preferences based on evidence distance , 2014, Knowl. Based Syst..

[96]  Ferrari Anusca DIGCOMP: A Framework for Developing and Understanding Digital Competence in Europe. , 2013 .

[97]  Yong Deng D Numbers: Theory and Applications ? , 2012 .

[98]  L. A. ZADEH,et al.  The concept of a linguistic variable and its application to approximate reasoning - I , 1975, Inf. Sci..