nach oben

Global Journal of Flexible Systems Management

Erschienen in:

03.11.2021 | Original Research

Identifying Cloud Computing Risks based on Firm’s Ambidexterity Performance using Fuzzy VIKOR Technique

verfasst von: Mohammad Taghi Taghavifard, Setareh Majidian

Erschienen in: Global Journal of Flexible Systems Management | Ausgabe 1/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Cloud computing has become a disruptive technology in recent years which brings numerous benefits to enterprises; however, as any other technology it is accompanied with some risks. Firms can achieve competitive advantage if they simultaneously explore new opportunity and exploit their existing knowledge and capabilities through investing on cloud computing. However, cloud computing risks can hamper these abilities. Applying the ambidexterity theoretical lens, we have provided evidence that potential cloud computing risks play a significant role on firms’ performance in two integral aspects of explorative and exploitative innovation. To address this objectives, fuzzy VIKOR technique has been deployed in which the fuzzy approach helps experts to express their opinion using linguistic variables and VIKOR technique ranks cloud computing risks considering ambidexterity criteria. The results show that how each cloud computing risk can disable firms from achieving innovative performance.

Vorheriger Artikel Machine Learning-Based Predictive Modeling and Control of Lean Manufacturing in Automotive Parts Manufacturing Industry

Nächster Artikel Assessment Framework for Agile HRM Practices

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Abba Ari, A. A., Ngangmo, O. K., Titouna, C., Thiare, O., Mohamadou, K. A., & Gueroui, A. M. (2019). Enabling privacy and security in Cloud of Things: Architecture, applications, security & privacy challenges. Applied Computing and Informatics. https://doi.org/10.1016/j.aci.2019.11.005CrossRef

Akbar, M. A., Shameem, M., Mahmood, S., Alsanad, A., & Gumaei, A. (2020). Prioritization based taxonomy of cloud-based outsource software development challenges: Fuzzy AHP analysis. Applied Soft Compuing, 95, 106557. https://doi.org/10.1016/j.asoc.2020.106557CrossRef

Akinrolabu, O., Nurse, J., Martin, A., & New, S. (2019). Cyber risk assessment in cloud provider environments: Current models and future needs. Computers & Security, 87, 101600. https://doi.org/10.1016/j.cose.2019.101600CrossRef

Albanese, A., Benedictis, A., Macedo, D., & Messina, F. (2020). Security and trust in cloud application life-cycle management. Future Generation Computer Systems, 111, 934–936. https://doi.org/10.1016/j.future.2020.01.025CrossRef

Al-Sharafi, M. A., Arshah, R. A., & Abu-Shanab, E. A. (2017). Factors affecting the continuous use of cloud computing services from expert's perspective. In TENCON 2017—2017 IEEE region 10 conference (pp. 986–991). https://doi.org/10.1109/TENCON.2017.8228001

Ali, A., Warren, D., & Mathiassen, L. (2017). Cloud-based business services innovation: A risk management model. International Journal of Information Management, 37(6), 639–649. https://doi.org/10.1016/j.ijinfomgt.2017.05.008CrossRef

Ali, M., Khan, S., & Vasilakos, A. (2015). Security in cloud computing: Opportunities and challenges. Information Sciences, 305, 357–383. https://doi.org/10.1016/j.ins.2015.01.025CrossRef

Ali, M., Wood-Harper, T., & Ramlogan, R. (2020). A framework strategy to overcome trust issues on cloud computing adoption in higher education. In Modern principles, practices, and algorithms for cloud security. https://doi.org/10.4018/978-1-7998-1082-7.ch008).

Ali, O., & Osmana, V. (2020). The role of government regulations in the adoption of cloud computing: A case study of local government. Computer Law & Security Review. https://doi.org/10.1016/j.clsr.2020.105396CrossRef

Ali, O., Shrestha, A., Chatfield, A., & Murray, P. (2020b). Assessing information security risks in the cloud: A case study of Australian local government authorities. Government Information Quarterly, 37(1), 101419. https://doi.org/10.1016/j.giq.2019.101419CrossRef

Amin, R., Vadlamudi, S., Rahaman, M., et al. (2021). Opportunities and challenges of data migration. Engineering International, 9(1), 41–50. https://doi.org/10.18034/ei.v9i1.529CrossRef

Amini, A., Jamil, N., Ahmad, A.R., Sulaiman, H. (2018) A fuzzy logic based risk assessment approach for evaluating and prioritizing risks in cloud computing environment. In: Saeed, F., Gazem, N., Patnaik, S., Saed Balaid, A., Mohammed, F. (Eds.). Recent Trends in Information and Communication Technology. IRICT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-59427-9_67

Andersson, M., Moen, O., & Brett, P. (2020). The organizational climate for psychological safety: Associations with SMEs’ innovation capabilities and innovation performance. Journal of Engineering and Technology Management, 55, 101554. https://doi.org/10.1016/j.jengtecman.2020.101554CrossRef

Andriopoulos, C., & Lewis, M. (2010). Managing innovation paradoxes: Ambidexterity lessons from leading product design companies. Long Range Planning, 43(1), 104–122. https://doi.org/10.1016/j.lrp.2009.08.003CrossRef

Badi, S., & Pryke, S. (2016). Assessing the impact of risk allocation on sustainable energy innovation (SEI): The case of private finance initiative (PFI) school projects. International Journal of Managing Projects in Business. https://doi.org/10.1108/IJMPB-10-2015-0103CrossRef

Barona, R., & Anita, E. A. M. (2017). A survey on data breach challenges in cloud computing security: Issues and threats. In 2017 International conference on circuit, power and computing technologies (ICCPCT) (pp. 1–8). https://doi.org/10.1109/ICCPCT.2017.8074287

Battleson, D., West, B., Kim, J., et al. (2016). Achieving dynamic capabilities with cloud computing: An empirical investigation. European Journal of Information Systems, 25, 209–230. https://doi.org/10.1057/ejis.2015.12CrossRef

Baucas, M., & Spachos, P. (2019). Using cloud and fog computing for large scale IoT-based urban sound classification. Simulation Modelling Practice and Theory. https://doi.org/10.1016/j.simpat.2019.102013CrossRef

Bautista-Villalpando, L., & Abran, L. (2021). A data security framework for cloud computing services. Computer Systems Science & Engineering. https://doi.org/10.32604/csse.2021.015437CrossRef

Bendovschi, A. (2015). Cyber-Attacks—trends, patterns and security countermeasures. Procedia Economics and Finance, 28, 24–31. https://doi.org/10.1016/S2212-5671(15)01077-1CrossRef

Benitez, J., Castillo, A., Llorens, J., & Braojos, J. (2018). IT-enabled knowledge ambidexterity and innovation performance in small U.S. firms: The moderator role of social media capability. Information & Management, 55(1), 131–143.CrossRef

Berman, S., Kesterson-Townes, L., Marshall, A., & Srivathsa, R. (2012). How cloud computing enables process and business model innovation. Strategy & Leadership, 40(4), 27–35. https://doi.org/10.1108/10878571211242920CrossRef

Bhardwaj, A., & Goundar, S. (2019). A framework to define the relationship between cyber security and cloud performance. Computer Fraud & Security, 2019(2), 12–19.CrossRef

Birkinshaw, J., & Gibson, C. (2004). Building ambidexterity into an organization. MIT Sloan Management Review, 45(4), 47–55.

Bisong, A., & Rahman, M. (2011). An overview of the security concerns in enterprise cloud computing. International Journal of Network Security & Its Applications (IJNSA). https://doi.org/10.5121/ijnsa.2011.3103CrossRef

Boutkhoum, O., Hanine, M., Agouti, T., & Tikniouine, A. (2016). Selection problem of cloud solution for big data accessing: fuzzy AHPPROMETHEE as a proposed methodology. Journal of Digital Information Management, 14(6).

Boutkhoum, O., Hanine, M., Agouti, T., et al. (2017). A decision-making approach based on fuzzy AHP-TOPSIS methodology for selecting the appropriate cloud solution to manage big data projects. International Journal of Systems Assurance Engineering and Management, 8, 1237–1253. https://doi.org/10.1007/s13198-017-0592-xCrossRef

Brender, N., & Markov, R. (2013). Risk perception and risk management in cloud computing: Results from a case study of Swiss companies. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2013.05.004CrossRef

Brown, L. (2010). Balancing risk and innovation to improve social work practice. British Journal of Social Work, 40, 1211–1228.CrossRef

Burda, D., & Teuteberg, F. (2014). The role of trust and risk perceptions in cloud archiving—Results from an empirical study. The Journal of High Technology Management Research, 25(2), 172–187.CrossRef

Caldarelli, A., Ferri, L., & Maffei, M. (2017). Expected benefits and perceived risks of cloud computing: an investigation within an Italian setting. Technology Analysis & Strategic Management, 29(2), 167–180. https://doi.org/10.1080/09537325.2016.1210786CrossRef

Carroll, M., van der Merwe, A., & Kotzé, P. (2011). Secure cloud computing: Benefits, risks and controls. In 2011 Information security for South Africa (pp. 1–9). https://doi.org/10.1109/ISSA.2011.6027519.

Chang, T. (2014). Fuzzy VIKOR method: A case study of the hospital service evaluation in Taiwan. Information Sciences, 271, 196–212. https://doi.org/10.1016/j.ins.2014.02.118CrossRef

Chang, Y., Wong, S., Eze, U., & Lee, H. (2018). The effect of IT ambidexterity and cloud computing absorptive capacity on competitive advantage. Industrial Management & Data Systems, 119(3), 613–638. https://doi.org/10.1108/IMDS-05-2018-0196CrossRef

Chen, L., & Wang, T. (2009). Optimizing partners’ choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR. International Journal of Production Economics, 120(1), 233–242. https://doi.org/10.1016/j.ijpe.2008.07.022CrossRef

Cheng, Ch. (1998). A new approach for ranking fuzzy numbers by distance method. Fuzzy Sets and Systems, 95(3), 307–317. https://doi.org/10.1016/S0165-0114(96)00272-2CrossRef

Chou, D. C. (2015). Cloud computing risk and audit issues. Computer Standards & Interfaces, 42, 137–142. https://doi.org/10.1016/j.csi.2015.06.005CrossRef

Djemame, K., Armstrong, D., Guitart, J., & Macias, M. (2016). A risk assessment framework for cloud computing. IEEE Transactions on Cloud Computing, 4(3), 265–278. https://doi.org/10.1109/TCC.2014.2344653CrossRef

Dubois, D., & Prade, H. (1993). Fuzzy number: An overview. Readings in Fuzzy Sets for Intelligent Systems. https://doi.org/10.1016/B978-1-4832-1450-4.50015-8CrossRef

Duncan, R. B. (1976). The ambidextrous organization: Designing dual structures for innovation. The Management of Organization.

Dutta, A., Peng, G., & Choudhary, A. (2013). Risks in enterprise cloud computing: The perspective of it experts. Journal of Computer Information Systems. https://doi.org/10.1080/08874417.2013.11645649CrossRef

Dzissis, D., & Lekkas, D. (2012). Addressing cloud computing security issues. Future Generation Computer Systems, 28(3), 583–592. https://doi.org/10.1016/j.future.2010.12.006CrossRef

El-Gazzar, R., Hustad, E., & Olsen, D. (2016). Understanding cloud computing adoption issues: A Delphi study approach. Journal of Systems and Software, 118, 64–84. https://doi.org/10.1016/j.jss.2016.04.061CrossRef

Elzamly, A., Hussin, B., & Basari, A. (2016). Classification of critical cloud computing security issues for banking organizations: A cloud Delphi study. International Journal of Grid and Distributed Computing, 9(8), 137–158. ISSN 2005-4262.

Evans, S., & Bahrami, H. (2020). Super-Flexibility in Practice: Insights from a Crisis. Global Journal of Flexible Systems Management, 21(3), 207–214.CrossRef

Furuncu, E., & Sogukpinar, I. (2015). Scalable risk assessment method for cloud computing using game theory (CCRAM). Computer Standards & Interfaces. https://doi.org/10.1016/j.csi.2014.08.007CrossRef

García, M., Claver-Cortés, E., Marco-Lajara, B., & Zaragoza-Sáez, P. (2019). Toward a dynamic construction of organizational ambidexterity: Exploring the synergies between structural differentiation, organizational context, and interorganizational relations. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2019.10.051CrossRef

Garrison, G., Wakefield, R., & Kim, S. (2015). The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations. International Journal of Information Management, 377–393.

Ghallab, A., Saif, M. H., & Mohsen, A. (2021). Data integrity and security in distributed cloud computing—a review. In V. K. Gunjan, & Zurada, J. M. (Eds.), Proceedings of international conference on recent trends in machine learning, IoT, smart cities and applications. Advances in intelligent systems and computing (Vol. 1245). Springer. https://doi.org/10.1007/978-981-15-7234-0_73

Ghasemaghaei, M., & Calic, G. (2019). Does big data enhance firm innovation competency? The mediating role of data-driven insights. Journal of Business Research, 104, 69–84. https://doi.org/10.1016/j.jbusres.2019.07.006CrossRef

Girubha, R. J., & Vinodh, S. (2012). Application of fuzzy VIKOR and environmental impact analysis for material selection of an automotive component. Materials & Design, 37, 478–486. https://doi.org/10.1016/j.matdes.2012.01.022CrossRef

González-Martínez, J., Bote-Lorenzo, M., Gómez-Sánchez, E., & Cano-Parra, R. (2015). Cloud computing and education: A state-of-the-art survey. Computers & Education, 80, 132–151. https://doi.org/10.1016/j.compedu.2014.08.017CrossRef

Gozman, D., & Willcocks, L. (2019). The emerging Cloud Dilemma: Balancing innovation with cross-border privacy and outsourcing regulations. Journal of Business Research, 97, 235–256. https://doi.org/10.1016/j.jbusres.2018.06.006CrossRef

Gupta, A., Siddiqui, S., Alam, S., Shuaib, M. (2019). Cloud computing security using blockchain. Journal of Emerging Technologies and Innovative Research, 6(6).

Hall, J., Bachor, V., & Matos, S. (2014). The impact of stakeholder heterogeneity on risk perceptions in technological innovation. Technovation. https://doi.org/10.1016/j.technovation.2013.12.002CrossRef

Hashem, I., Yaqoob, I., Anuar, N., Mokhtar, S., Gani, A., & Khan, S. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98–115. https://doi.org/10.1016/j.is.2014.07.006CrossRef

Heiser, J., & Nicolett, M. (2012). Assessing the security risks of cloud computing. Gartner Research. Retrieved from http://cloud.ctrls.in/files/assessing-the-security.

Henriques de Gusmão, A., Silva, M., Poleto, T., Silva, L., Seixas Costa, A., et al. (2018). Cybersecurity risk analysis model using fault tree analysis and fuzzy decision theory. International Journal of Information Management, 43, 248–260. https://doi.org/10.1016/j.ijinfomgt.2018.08.008CrossRef

Ho, H., Osiyevskyy, O., Agarwal, J., & Reza, S. (2020). Does ambidexterity in marketing pay off? The role of absorptive capacity. Journal of Business Research, 110, 65–79. https://doi.org/10.1016/j.jbusres.2019.12.050CrossRef

Hu, K. H., Jianguo, W., & Tzeng, G. (2017). Risk factor assessment improvement for China’s cloud computing auditing using a new hybrid MADM model. International Journal of Information Technology & Decision Making, 16(03), 737–777. https://doi.org/10.1142/S021962201750016XCrossRef

Jafari-Sadeghi, V., Garcia-Perez, A., Candelo, E., & Couturier, J. (2021). Exploring the impact of digital transformation on technology entrepreneurship and technological market expansion: The role of technology readiness, exploration and exploitation. Journal of Business Research, 95, 106557. https://doi.org/10.1016/j.asoc.2020.106557CrossRef

Jansen, J. J. P., Van den Bosch, F. A. J., & Volberda, H. W. (2005). Exploratory innovation, exploitative innovation, and ambidexterity: The impact of environmental and organizational antecedents. Schmalenbach Business Review, 57, 351–363. https://doi.org/10.1007/BF03396721CrossRef

Jouini, A., & Rabai, L. B. A. (2019). A security framework for secure cloud computing environments. Cloud Security: Concepts, Methodologies, Tools, and Applications. https://doi.org/10.4018/978-1-5225-8176-5.ch011CrossRef

Jouini, et al. (2021). A quantitative assessment of security risks based on a multifaceted classification approach. International Journal of Information Security 20, 493–510. https://doi.org/10.1007/s10207-020-00515-6CrossRef

Junni, P., Sarala, R., Taras, V., & Tarba, S. (2013). Organizational ambidexterity and performance: A meta-analysis. Academy of Management Perspectives. https://doi.org/10.5465/amp.2012.0015CrossRef

Kalloniatis, C., Mouratidis, H., Vassilis, M., Islam, S., Gritzalis, S., & Kavakli, E. (2014). Towards the design of secure and privacy-oriented information systems in the cloud: Identifying the major concepts. Computer Standards & Interfaces, 36(4), 759–775.CrossRef

Kavitha, S., Bora, A., Naved, M., Bhavana Raj, K., Bhaludra, R., & Singh, N. (2021). An internet of things for data security in cloud using artificial intelligence. International Journal of Grid and Distributed Computing, 14(1), 1257–1275.

Kazemargi, N., & Spagnoletti, P. (2020). IT investment decisions in industry 4.0: evidences from SMEs. In E. A. Agrifoglio (Ed.), Digital business transformation. Lecture notes in information systems and organisation (Vol. 38). Springer. https://doi.org/10.1007/978-3-030-47355-6_6

Khan, N., & Al-Yasiri, A. (2016). Identifying cloud security threats to strengthen cloud computing adoption framework. In The 2nd international workshop on internet of thing: Networking applications and technologies (IoTNAT’ 2016). Procedia Computer Science (pp. 485–490).

Khanmohammadi, E., Zandieh, M., & Tayebi, T. (2019). Drawing a Strategy Canvas Using the Fuzzy Best–Worst Method. Global Journal of Flexible Systems Management, 20(1), 57–75.CrossRef

Khansa, L., & Zobel, C. W. (2014). Assessing innovations in cloud security. Journal of Computer Information Systems, 54(3), 45–56. https://doi.org/10.1080/08874417.2014.11645703CrossRef

Kloch, C., Petersen, E. B., & Madsen, O. B. (2011). Cloud based infrastructure, the new business—Possibilities and barriers. Wireless Personal Communications, 58(1), 17–30. https://doi.org/10.1007/s11277-011-0286-7CrossRef

Koppiahraj, K., Bathrinath, S., & Saravanasankar, S. (2020). A fuzzy VIKOR approach for selection of ergonomic assessment method. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2020.02.725CrossRef

Krishankumar, R., Ravichandran, K. S., & Tyagi, S. K. (2020). Solving cloud vendor selection problem using intuitionistic fuzzy decision framework. Neural Computing and Applications, 32, 589–602. https://doi.org/10.1007/s00521-018-3648-1CrossRef

Krishnaveni, S., & Prabakaran, S. (2019). Ensemble approach for network threat detection and classification on cloud computing. Concurrency and Computation: Practice and Experience. https://doi.org/10.1002/cpe.5272CrossRef

Kar, A. K., & Rakshit, A. (2015). Flexible pricing models for cloud computing based on group. Global Journal of Flexible Systems Management, 16(2), 191–204. https://doi.org/10.1007/s40171-015-0093-1CrossRef

Lee, B., Dewi, E. K., & Wajdi, M. F. (2018). Data security in cloud computing using AES under HEROKU cloud. In 2018 27th Wireless and optical communication conference (WOCC) (pp. 1–5). https://doi.org/10.1109/WOCC.2018.8372705.

Lee, S. U., Park, G., & Kang, J. (2018b). The double-edged effects of the corporate venture capital unit’s structural autonomy on corporate investors’ explorative and exploitative innovation. Journal of Business Research, 88, 141–149. https://doi.org/10.1016/j.jbusres.2018.01.049CrossRef

Lin, A., & Chen, N. C. (2012). Cloud computing as an innovation: Percepetion, attitude, and adoption. International Journal of Information Management, 32(6), 533–540. https://doi.org/10.1016/j.ijinfomgt.2012.04.001CrossRef

Liu, H., You, J., You, X., & Shan, M. (2015). A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method. Applied Soft Computing, 28, 579–588. https://doi.org/10.1016/j.asoc.2014.11.036CrossRef

Liu, S., Chan, F., & Ran, W. (2016). Decision making for the selection of cloud vendor: An improved approach under group decision-making with integrated weights and objective/subjective attributes. Expert Systems with Applications, 55(15), 37–47. https://doi.org/10.1016/j.eswa.2016.01.059CrossRef

Loukis, E., Kyriakou, N., Pazalos, K., et al. (2017). Inter-organizational innovation and cloud computing. Electronic Commerce Research, 17, 379–401. https://doi.org/10.1007/s10660-016-9239-2CrossRef

Luo, F., Zhao, J., Dong, Z., Chen, Y., Xu, Y., Zhang, X., & Wong, K. (2016). Cloud-based information infrastructure for next-generation power grid: Conception, architecture, and applications. IEEE Transactions on Smart Grid. https://doi.org/10.1109/TSG.2015.2452293CrossRef

Maniah, E., Abdurachman, E., Gaol, F., & Soewito, B. (2019). Survey on threats and risks in the cloud computing environment. Procedia Computer Science, 161, 1325–1332. https://doi.org/10.1016/j.procs.2019.11.248CrossRef

Manzurul Islam, M., Morshed, S., & Goswami, P. (2013). Cloud computing: A survey on its limitations and potential solutions. International Journal of Computer Science, 10(4): 2

Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing—The business perspective. Decision Support Systems, 51, 176–189. https://doi.org/10.1016/j.dss.2010.12.006CrossRef

Masky, S. S., Young, S., & Choe, T. (2015). A novel risk identification framework for cloud computing security. In 2015 2nd International conference on information science and security (ICISS) (pp. 1–4). https://doi.org/10.1109/ICISSEC.2015.7370967.

Mishra, S., Sharma, S. K., & Alowaidi, M. A. (2021). Analysis of security issues of cloud-based web applications. Journal of Ambient Intelligence and Humanized Computing, 12, 7051–7062. https://doi.org/10.1007/s12652-020-02370-8CrossRef

Montealegre, R., Iyengar, K., & Sweeney, J. (2019). Understanding ambidexterity: Managing contradictory tensions between exploration and exploitation in the evolution of digital infrastructure. Journal of the Association for Information Systems. https://doi.org/10.17705/1jais.00547CrossRef

Mthunzi, S. N., Benkhelifa, E., Bosakowski, T., Guegan, C., & Barhamgi, B. (2019). Cloud computing security taxonomy: From an atomistic to a holistic view. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2019.11.013CrossRef

Munodawafa, F., & Awad, A. I. (2018). Security risk assessment within hybrid data centers: A case study of delay sensitive applications. Journal of Information Security and Applications, 43, 61–72. https://doi.org/10.1016/j.jisa.2018.10.008CrossRef

Navarro, J. G., & Dewhurst, F. (2007). Linking organizational learning and customer capital through an ambidexterity context: An empirical investigation in SMEs1. The International Journal of Human Resource Management, 18(10), 1720–1735. https://doi.org/10.1080/09585190701570882CrossRef

Opara-Martins, J., Sahandi, R., & Tian, F. (2016). Critical analysis of vendor lock-in and its impact on cloud computing migration: A business perspective. Journal of Cloud Computing, 5, 4. https://doi.org/10.1186/s13677-016-0054-zCrossRef

O’Reilly, C. A., & Tushman, M. L. (2008). Ambidexterity as a dynamic capability: Resolving the innovator’s dilemma. Research in Organizational Behavior, 28, 185–206. https://doi.org/10.1016/j.riob.2008.06.002CrossRef

O’Reilly, C. A., & Tushman, M. L. (2013). Organizational ambidexterity: Past, present and future. The Academy of Management Perspectives, 27(4), 324–338. https://doi.org/10.5465/amp.2013.0025CrossRef

Oluwafemi, T., Mitchelmore, S., & Nikolopoulos, K. (2020). Leading innovation: Empirical evidence for ambidextrous leadership from. Journal of Business Research, 119, 195–208. https://doi.org/10.1016/j.jbusres.2019.10.035CrossRef

Opricovic, S. (2011). Fuzzy VIKOR with an application to water resources planning. Expert Systems with Applications, 38(10), 12983–12990. https://doi.org/10.1016/j.eswa.2011.04.097CrossRef

Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational, 156(2), 445–455. https://doi.org/10.1016/S0377-2217(03)00020-1CrossRef

Osório, A.L. (2016). Towards vendor-agnostic IT-system of IT-systems with the CEDE platform. In H. Afsarmanesh, & Camarinha-Matos, L. S. (Eds.), Collaboration in a hyperconnected world, advances in information and communication technology (Vol. 480). Springer. https://doi.org/10.1007/978-3-319-45390-3_42.

Paquette, S., Jaeger, P. T., & Wilson, S. C. (2010). Identifying the security risks associated with governmental use of cloud computing. Government Information Quarterly, 27(3), 245–253. https://doi.org/10.1016/j.giq.2010.01.002CrossRef

Patel, K., & Alabisi, A. (2019). Cloud computing security risks: Identification and assessment. Journal of New Business Ideas & Trends, 17(2), 11–19.

Peiyu, L., & Dong, L. (2011). The new risk assessment model for information system in cloud computing environment. Procedia Engineering, 15, 3200–3204.CrossRef

Priyadarshinee, P., Kumar Jha, M., Raut, R., & Kharat, M. (2016). Risk analysis in adoption of cloud computing in SMEs—A literature review. International Journal of Business Information Systems, 23(1).

Radulescu, C. Z., & Radulescu, I. Z. (2017). An extended TOPSIS approach for ranking cloud service providers. Studies in Informatics and Control, 26(2), 183–192. https://doi.org/10.24846/v26i2y201706CrossRef

Raisch, S., Birkinshaw, J., Probst, G., & Tushman, M. (2009). Organizational ambidexterity: Balancing exploitation and exploration for sustained performance. Organization Science, 20(4), 685–695. https://doi.org/10.1287/orsc.1090.0426CrossRef

Ratten, V. (2016). Continuance use intention of cloud computing: Innovativeness and creativity perspectives. Journal of Business Research, 69(5), 1737–1740. https://doi.org/10.1016/j.jbusres.2015.10.047CrossRef

Rialti, R., Zollo, L., Ferraris, A., & Alon, I. (2019). Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2019.119781CrossRef

Rostamzadeh, R., Govindan, K., Esmaeili, A., & Sabaghi, M. (2015). Application of fuzzy VIKOR for evaluation of green supply chain management practices. Ecological Indicators, 49, 188–203. https://doi.org/10.1016/j.ecolind.2014.09.045CrossRef

Rubab, K., Azhar, T., Anwar, M., & Majeed, S. (2020). Security threats in cloud computing: Trend and challenges. International Journal of Computing and Communications Networks, 2(1).

Ruo-xin, Z., Cui, X., Gong, S., Ren, H. K., & Chen, K. (2014). Model for cloud computing security assessment based on AHP and FCE. In 9th International conference on computer science & education (pp. 197–204). https://doi.org/10.1109/ICCSE.2014.6926454.

Ryabchikov, M. Y., & Ryabchikova, E. S. (2021). Big data-driven assessment of proposals to improve enterprise flexibility through control options untested in practice. Global Journal of Flexible Systems Management, https://doi.org/10.1007/s40171-021-00287-5.

Safari, H., Faraji, Z., & Majidian, S. (2016). Identifying and evaluating enterprise architecture risks using FMEA and fuzzy VIKOR. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-014-0880-0CrossRef

Satzger, B., Hummer, W., Inzinger, C. H., Leitner, P., & Dustdar, S. (2013). Winds of change: From vendor lock-in to the meta cloud. IEEE Internet Computing, 17(1), 69–73. https://doi.org/10.1109/MIC.2013.19CrossRef

Sepczuk, M., & Kotulski, Z. (2018). A new risk-based authentication management model oriented on user’s experience. Computers & Security, 73, 17–33. https://doi.org/10.1016/j.cose.2017.10.002CrossRef

Séraphin, H., Smith, S. M., Scott, P., & Stokes, O. (2018). Destination management through organisational ambidexterity: Conceptualising Haitian enclaves. Journal of Destination Marketing & Management, 9, 389–392. https://doi.org/10.1016/j.jdmm.2018.03.005CrossRef

Severgnini, E., Takahashi, A. R. W., & Abib, G. (2019). Risk and organizational ambidexterity: A meta-synthesis of a case study and a framework. BBR Brazilian Business Review. https://doi.org/10.15728/bbr.2019.16.5.4CrossRef

Shahzadi, S., Khaliq, B., Rizwan, M., & Ahmad, F. (2020). Security of cloud computing using adaptive neural fuzzy inference system. Security and Communication Networks, 2020, Article ID 5352108, 15 pages. https://doi.org/10.1155/2020/5352108.

Sheehan, B., Murphy, F., Kia, A. N., & Kiely, R. (2021). A quantitative bow-tie cyber risk classification and assessment framework. Journal of Risk Research. https://doi.org/10.1080/13669877.2021.1900337CrossRef

Shemshadi, A., Shirazi, H., Toreihi, M., & Tarokh, M. (2011). A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38(10), 12160–12167. https://doi.org/10.1016/j.eswa.2011.03.027CrossRef

Singh, K. P., Rishiwal, V., & Kumar, P. (2018). Classification of data to enhance data security in cloud computing. In 2018 3rd International conference on internet of things: Smart innovation and usages (IoT-SIU) (pp 1–5). https://doi.org/10.1109/IoT-SIU.2018.8519934

Singh, S., Dhir, S., Evans, S., & Sushil (2021). The trajectory of two decades of global journal of flexible systems management and flexibility research: A bibliometric analysis. Global Journal of Flexible Systems Management, 22(4), 377–401.CrossRef

Smith, R. (2009). Computing in the cloud. Research Technology Management, 5, 65–68.CrossRef

Son, I., Lee, D., Lee, J. N., & Chang, Y. B. (2014). Market perception on cloud computing initiatives in organizations: An extended resource-based view. Information & Management, 51(6), 653–669. https://doi.org/10.1016/j.im.2014.05.006CrossRef

Soto-Acosta, P., Popa, S., & Martinez-Conesa, I. (2018). Information technology, knowledge management and environmental dynamism as drivers of innovation ambidexterity: A study in SMEs. Journal of Knowledge Management, 22(4), 824–849. https://doi.org/10.1108/JKM-10-2017-0448CrossRef

Stamford, Conn. (2020). Proportion of enterprise IT spending on public cloud computing continues to increase. Gartner.

Stieninger, M., & Nedbal, D. (2014). Characteristics of cloud computing in the business context: A systematic literature review. Global Journal of Flexible Systems Management, 15(1), 59–68. https://doi.org/10.1007/s40171-013-0055-4CrossRef

Subramanian, N., & Jeyaraj, A. (2018). Recent security challenges in cloud computing. Computers and Electrical Engineering. https://doi.org/10.1016/j.compeleceng.2018.06.006CrossRef

Svantesson, D., & Clarke, R. (2010). Privacy and consumer risks in cloud computing. Computer Law & Security Review, 26(4), 391–397. https://doi.org/10.1016/j.clsr.2010.05.005CrossRef

Swathy Akshaya, M., & Padmavathi, G. (2020). Taxonomy of security attacks and risk assessment of cloud computing. In J. Peter, Alavi, A., & Javadi, B. (Eds.), Advances in big data and cloud computing. Advances in Intelligent Systems and Computing (Vol. 750). Springer, Singapore. https://doi.org/10.1007/978-981-13-1882-5_4.

Tadić, S., Zečević, S., & Krstić, M. (2014). A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection. Expert Systems with Applications, 41(18), 8112–8128. https://doi.org/10.1016/j.eswa.2014.07.021CrossRef

Talmizie Amron, M. T., Ibrahim, R., Bakar, N. R. R., & Chuprat, S. (2019). Determining factors influencing the acceptance of cloud computing implementation. Procedia Computer Science, 161, 1055–1063. https://doi.org/10.1016/j.procs.2019.11.216CrossRef

Tamayo-Torres, I., Gutiérrez-Gutiérrez, L., Llorens-Montes, F., & Martínez-López, F. (2016). Organizational learning and innovation as sources of strategic fit. Industrial Management & Data Systems, 116(8), 1445–1467. https://doi.org/10.1108/IMDS-12-2015-0518CrossRef

Tank, D. M., Aggarwal, A., & Chaubey, N. K. (2021). Cyber security aspects of virtualization in cloud computing environments: Analyzing virtualizationspecific cyber security risks. In Research anthology on privatizing and securing data. https://doi.org/10.4018/978-1-7998-8954-0.ch080.

Tariq, M. I. (2019). Agent based information security framework for hybrid cloud computing. KSII Transactions on Internet and Information Systems. https://doi.org/10.3837/tiis.2019.01.023CrossRef

Tchernykh, A., Schwiegelsohn, U., Talbi, E., & Babenko, M. (2019). Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability. Journal of Computational Science, 36, 100581. https://doi.org/10.1016/j.jocs.2016.11.011CrossRef

Thompson, R. (2013). Cloud adoption exceeding expectations, new global study finds. http://cloud-computing.tmcnet.com/features/articles/351722-cloud-adoption-exceeding-expectations-new-global-study-finds.htm. Accessed 14 April 2015.

Tissir, N., El Kafhali, S., & Aboutabit, N. (2021). Cybersecurity management in cloud computing: Semantic literature review and conceptual framework proposal. Journal of Reliable Intelligent Environments, 7, 69–84. https://doi.org/10.1007/s40860-020-00115-0CrossRef

Tushman, M. L., & O’Reilly, C. A. (2006). The ambidextrous organizations: Managing evolutionary and revolutionary change. California Management Review, 38(4), 8–30.CrossRef

Vaishnavi, V., & Suresh, M. (2020). Assessing the readiness level of healthcare for implementing agility using fuzzy logic approach. Global Journal of Flexible Systems Management, 21(2), 163–189.CrossRef

Vasiljeva, T., Shaikhulina, S., & Kreslins, K. (2017). Cloud computing: Business perspectives, benefits and challenges for small and medium enterprises (case of Latvia). In 16th Conference on reliability and statistics in transportation and communication (pp. 443–451). https://doi.org/10.1016/j.proeng.2017.01.087.

Venters, W., & Whitley, E. A. (2012). A critical review of cloud computing: Researching desires and realities. Journal of Information Technology, 27(3), 179–197.CrossRef

Wang, T., & Chang, T. (2005). Fuzzy VIKOR as an aid for multiple criteria decision making. Institute of Information Management I-Shou University.

Wang, Y., Chen, Y., Wang, N., Nevo, S., Kou, G., & Alsaadi, F. (2019). Impact of the strategic role of IT on explorative and exploitative innovation activities. Decision Sciences, 51(3), 542–574. https://doi.org/10.1111/deci.12377CrossRef

Wang, Z., Wang, Z., Su, X., & Ge, S. (2020). An empirical study on business analytics affordances enhancing the management of cloud computing data security. International Journal of Information Management, 50, 387–394. https://doi.org/10.1016/j.ijinfomgt.2019.09.002CrossRef

Whaiduzzaman, M. D., Gani, A., Anuar, N., Shiraz, M., Haque, M., & Haque, I. (2014). Cloud service selection using multicriteria decision analysis. The Scientific World Journal. https://doi.org/10.1155/2014/459375CrossRef

Xian, S., Yang, Z., & Guo, H. (2019). Double parameters TOPSIS for multi-attribute linguistic group decision making based on the intuitionistic Z-linguistic variables. Applied Soft Computing, 85, 105835. https://doi.org/10.1016/j.asoc.2019.105835CrossRef

Yang, C., Huang, Q., Li, Z., Liy, K., & Hu, F. (2017). Big data and cloud computing: Innovation opportunities and challenges. International Journal of Digital Earth, 10(1), 13–53. https://doi.org/10.1080/17538947.2016.1239771CrossRef

Zadeh, L. A. (1996). Fuzzy sets. Advances in Fuzzy Systems: Applications and Theory. https://doi.org/10.1142/9789814261302_0001CrossRef

Zheng, Q., Gu, D., Liang, C., & Fang, Y. (2019). Impact of a firm’s physical and knowledge capital intensities on its selection of a cloud computing deployment model. Information & Management. https://doi.org/10.1016/j.im.2019.103259CrossRef

Zimmermann, A., Raisch, S., & Birkinshaw, J. (2015). How is ambidexterity initiated? Organization Science. https://doi.org/10.1287/orsc.2015.0971CrossRef

Titel: Identifying Cloud Computing Risks based on Firm’s Ambidexterity Performance using Fuzzy VIKOR Technique
verfasst von: Mohammad Taghi Taghavifard
Setareh Majidian
Publikationsdatum: 03.11.2021
Verlag: Springer India
Erschienen in: Global Journal of Flexible Systems Management / Ausgabe 1/2022
Print ISSN: 0972-2696
Elektronische ISSN: 0974-0198
DOI: https://doi.org/10.1007/s40171-021-00292-8

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 1/2022

The Mechanisms of Collective Resilience in a Crisis Context: The Case of The ‘COVID-19’ Crisis

Comparing Competitive Priorities of Slow Fashion and Fast Fashion Operations of Large Retailers in an Emerging Economy

Economic Efficiency of Outsourcing Business Models: A Comparative Assessment

The Relationship Between “Job Satisfaction” and “Job Performance”: A Meta-analysis

Assessment Framework for Agile HRM Practices

Machine Learning-Based Predictive Modeling and Control of Lean Manufacturing in Automotive Parts Manufacturing Industry

Premium Partner