BIG DATA AND AMOEBA ORGANIZATIONS: INNOVATIVE MANAGEMENT IN DECISION MAKING PROCESSES

Ayşe Meriç Yazıcı; Mesut Öztırak

doi:10.33723/rs.1551290

TR EN

BIG DATA AND AMOEBA ORGANIZATIONS: INNOVATIVE MANAGEMENT IN DECISION MAKING PROCESSES

Öz

This study examines the interaction between big data and amoeba organisations and addresses innovative management in decision-making processes. In the study, the impact of big data on business processes and the structural characteristics of amoeba organisations are discussed in detail. Furthermore, the integration of big data into decision-making processes in amoeba organisations and how this integration interacts with innovation and technological developments are examined. How innovative management strategies can be applied in this context and the impact of these strategies in organisations are analysed in detail. The study aims to make the interaction of big data and amoeba in the decision-making processes of organisations more understandable. Challenges and solutions are also discussed and suggestions are made for future work in this area.

Anahtar Kelimeler

Big Data, Amoeba Organisations, İnnovative Management, Decision-Making Processes

Destekleyen Kurum

Yoktur

Etik Beyan

Herhangi bir canlı üzerinden veri toplanmadığı için etik kurul raporu alınmamıştır.

Kaynakça

Abbas, J., Balsalobre-Lorente, D., Amjid, M. A., Al-Sulaiti, K., Al-Sulaiti, I., & Aldereai, O. (2024). Financial innovation and digitalization promote business growth: The interplay of green technology innovation, product market competition and firm performance. Innovation and Green Development, 3(1), 100111.
Adler, R. W., & Hiromoto, T. (2012). Amoeba management: lessons from Japan’s Kyocera. MIT Sloan Management Review.
Adler, R., Hiromoto, T., & Suzuki, H. (2020). Amoeba management and organizational ambidexterity: Similarities, differences, and implications for organizational fit and success. International Journal of Productivity and Performance Management, 69(2), 405-427.
Ahmed, R. R., Akbar, W., Aijaz, M., Channar, Z. A., Ahmed, F., & Parmar, V. (2023). The role of green innovation on environmental and organizational performance: Moderation of human resource practices and management commitment. Heliyon, 9(1).
Ahmed, R., Shaheen, S., & Philbin, S. P. (2022). The role of big data analytics and decision-making in achieving project success. Journal of Engineering and Technology Management, 65, 101697.
Akin, M. S. (2024). Enhancing e-commerce competitiveness: A comprehensive analysis of customer experiences and strategies in the Turkish market. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100222.
Alaskar, T. H., Alsadi, A. K., Aloulou, W. J., & Ayadi, F. M. (2024). Big Data Analytics, Strategic Capabilities, and Innovation Performance: Mediation Approach of Organizational Ambidexterity. Sustainability, 16(12), 5111.
Arowoogun, J. O., Babawarun, O., Chidi, R., Adeniyi, A. O., & Okolo, C. A. (2024). A comprehensive review of data analytics in healthcare management: Leveraging big data for decision-making. World Journal of Advanced Research and Reviews, 21(2), 1810-1821.
Audretsch, B. D., & Belitski, M. (2023). The limits to open innovation and its impact on innovation performance. Technovation, 119, 102519.
Ayokanmbi, F. M. (2021). The impact of big data analytics on decision-making. International Journal of Management IT and Engineering, 11(4), 1-5.

Bag, S., Rahman, M. S., Srivastava, G., Shore, A., & Ram, P. (2023). Examining the role of virtue ethics and big data in enhancing viable, sustainable, and digital supply chain performance. Technological Forecasting and Social Change, 186, 122154.
Bataineh, M. J., Sánchez-Sellero, P., & Ayad, F. (2024). The role of organizational innovation in the development of green innovations in Spanish firms. European Management Journal, 42(4), 527-538.
Batko, K., & Ślęzak, A. (2022). The use of Big Data Analytics in healthcare. Journal of big Data, 9(1), 3.
Benjamin, L. B., Amajuoyi, P., & Adeusi, K. B. (2024). Leveraging data analytics for informed product development from conception to launch. GSC Advanced Research and Reviews, 19(2), 230-248.
Bhatore, S., Mohan, L., & Reddy, Y. R. (2020). Machine learning techniques for credit risk evaluation: a systematic literature review. Journal of Banking and Financial Technology, 4(1), 111-138.
Bose, S., Dey, S. K., & Bhattacharjee, S. (2023). Big data, data analytics and artificial intelligence in accounting: An overview. Handbook of big data research methods, 32-51.
Carrasco-Carvajal, O., García-Pérez-de-Lema, D., & Castillo-Vergara, M. (2023). Impact of innovation strategy, absorptive capacity, and open innovation on SME performance: A Chilean case study. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100065.
Chatterjee, S., Chaudhuri, R., & Vrontis, D. (2024). Does data-driven culture impact innovation and performance of a firm? An empirical examination. Annals of Operations Research, 333(2), 601-626.
Chen, P., & Kim, S. (2023). The impact of digital transformation on innovation performance-The mediating role of innovation factors. Heliyon, 9(3).
Chima, P., & Nwinyokpugi, P. (2023). Business Sustainability: Leveraging on Information Ethics. Journal of Office and Information Management (JOIM), 7(1).
Demircioglu, M. A. (2023). The effects of innovation climate on employee job satisfaction and affective commitment: Findings from public organizations. Review of Public Personnel Administration, 43(1), 130-158.
Desai, N., Chopra, A. K., & Singh, M. P. (2008). Amoeba: A Methodology for Requirements Modeling and Evolution of Cross-Organizational Business Processes. Transactions on Software Engineering and Methodology (submitted, 2008).
Ekambaram, A., Sørensen, A. Ø., Bull-Berg, H., & Olsson, N. O. (2018). The role of big data and knowledge management in improving projects and project-based organizations. Procedia computer science, 138, 851-858.
Ekechukwu, D. E. (2021). Overview of sustainable sourcing strategies in global value chains: a pathway to responsible business practices. International Journal of Multidisciplinary Research in Science, Technology and Innovation, 3(1), 1-12.
Fosso Wamba, P. S. (2017). Big data analytics and business process innovation. Business Process Management Journal, 23(3), 470-476.
Frimousse, S. (2019). Innovation and Agility in the Digital Age: Africa, the World's Laboratories of Tomorrow. John Wiley & Sons.
Gillborn, D., Warmington, P., & Demack, S. (2023). QuantCrit: Education, policy,‘Big Data’and principles for a critical race theory of statistics. In QuantCrit (pp. 10-31). Routledge.
Haier. (2023). Haier Smart Home publishes financial figures for HY 2023: continued revenue and profit growth – Overseas business outperforms industry. Retriewed from https://www.eqs-news.com/news/corporate/haier-smart-home-publishes-financial-figures-for-hy-2023-continued-revenue-and-profit-growth-overseas-business-outperforms-industry/1889825 Accessed date: 01.09.2024. Hausladen, I., & Schosser, M. (2020). Towards a maturity model for big data analytics in airline network planning. Journal of Air Transport Management, 82, 101721.
Helmond, A., Nieborg, D. B., & van der Vlist, F. N. (2019). Facebook’s evolution: Development of a platform-as-infrastructure. Internet Histories, 3(2), 123-146.
Inamori, K. (2013). Amoeba management. Gestion dynamique pour une adaptation rapide au marché.
Jung, S. U., & Shegai, V. (2023). The impact of digital marketing innovation on firm performance: Mediation by marketing capability and moderation by firm size. Sustainability, 15(7), 5711.
Kar, A. K., Angelopoulos, S., & Rao, H. R. (2023). Guest Editorial: Big data-driven theory building: Philosophies, guiding principles, and common traps. International Journal of Information Management, 71, 102661.
Khandelwal, K., Patel, S., Patel, J., & Pnachal, M. (2023). A study to know—use of AI for personalized recommendation, streaming optimization, and original content production at Netflix. Int. J. Sci. Res. Eng. Trends, 9, 1738-1743.
Khang, A., Gupta, S. K., Rani, S., & Karras, D. A. (Eds.). (2023). Smart Cities: IoT Technologies, big data solutions, cloud platforms, and cybersecurity techniques. CRC Press.
Kirkos, E. (2022). Airbnb listings’ performance: determinants and predictive models. European Journal of Tourism Research, 30, 3012-3012.
Kusrini, E., & Arifsa, F. S. (2019). Design of amoeba management system in training and consulting services companies: a case study in a training & consulting company in Indonesia. In 2019 8th International Conference on Industrial Technology and Management (ICITM) (pp. 41-44). IEEE.
Mahmudi, B. (2024). Exploring the Landscape of Big Data Analytics in Financial Decision Making. Accounting Studies and Tax Journal (COUNT), 1(2), 167-177.
Makhloufi, L., Vasa, L., Rosak-Szyrocka, J., & Djermani, F. (2023). Understanding the impact of big data analytics and knowledge management on green innovation practices and organizational performance: the moderating effect of government support. Sustainability, 15(11), 8456.
McAfee, A., & Brynjolfsson, E. (2012). Big data: The management revolution. Harvard business review, 90(10), 60-68.
Mortaheb, R., & Jankowski, P. (2023). Smart city re-imagined: City planning and GeoAI in the age of big data. Journal of Urban Management, 12(1), 4-15.
Nnaji, U. O., Benjamin, L. B., Eyo-Udo, N. L., & Etukudoh, E. A. (2024). A review of strategic decision-making in marketing through big data and analytics. Magna Scientia Advanced Research and Reviews, 11(1), 084-091.
Nwaimo, C. S., Adegbola, A. E., & Adegbola, M. D. (2024). Data-driven strategies for enhancing user engagement in digital platforms. International Journal of Management & Entrepreneurship Research, 6(6), 1854-1868.
Ochuba, N. A., Amoo, O. O., Okafor, E. S., Akinrinola, O., & Usman, F. O. (2024). Strategies for leveraging big data and analytics for business development: a comprehensive review across sectors. Computer Science & IT Research Journal, 5(3), 562-575.
Öztırak, M. (2023). A study on the impact of artificial intelligence anxiety on the innovation-oriented behaviours of employees. Optimum Ekonomi ve Yönetim Bilimleri Dergisi, 10(2), 267-286.
Öztırak, M., & Güney, S. (2022). The mediator role of proactive personality in the effect of psychological empowerment on self-leadership: a study for the aviation industry. Journal of Aviation, 6(3), 318-324.
Öztırak, M., & Orak, B. (2022). Uzaktan çalışma süreçlerinde dijital zorbalığın örgütsel dışlanmaya etkisi üzerine bir çalışma. Business & Management Studies: An International Journal, 10(2), 605-630.
Patwary, A. K., Alwi, M. K., Rehman, S. U., Rabiul, M. K., Babatunde, A. Y., & Alam, M. M. D. (2024). Knowledge management practices on innovation performance in the hotel industry: mediated by organizational learning and organizational creativity. Global Knowledge, Memory and Communication, 73(4/5), 662-681
Pedraza-Rodríguez, J. A., Ruiz-Vélez, A., Sánchez-Rodríguez, M. I., & Fernández-Esquinas, M. (2023). Management skills and organizational culture as sources of innovation for firms in peripheral regions. Technological Forecasting and Social Change, 191, 122518.
Prakash, D. (2024). Data-Driven Management: The Impact of Big Data Analytics on Organizational Performance. International Journal for Global Academic & Scientific Research, 3(2), 12-23.
Purwanto, A., Fahmi, K., & Sulaiman, A. (2023). Linking of transformational leadership, learning culture, organizational structure and school innovation capacity: CB SEM AMOS analysis. Journal of Information Systems and Management (JISMA), 2(3), 1-8.
Quvvatov, B. (2024). SQL Databases And Bıg Data Analytıcs: Navıgatıng The Data Management Landscape. Development Of Pedagogical Technologies İn Modern Sciences, 3(1), 117-124.
Robertsone, G., & Lapiņa, I. (2023). Digital transformation as a catalyst for sustainability and open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 9(1), 100017.
Rumanti, A. A., Rizana, A. F., & Achmad, F. (2023). Exploring the role of organizational creativity and open innovation in enhancing SMEs performance. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100045.
Somwethee, P., Aujirapongpan, S., & Ru-Zhue, J. (2023). The influence of entrepreneurial capability and innovation capability on sustainable organization performance: Evidence of community enterprise in Thailand. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100082.
Soto Setzke, D., Riasanow, T., Böhm, M., & Krcmar, H. (2023). Pathways to digital service innovation: The role of digital transformation strategies in established organizations. Information Systems Frontiers, 25(3), 1017-1037.
Sudjatmoko, A., Ichsan, M., Astriani, M., Mariani, & Clairine, A. (2023). The impact of COVID-19 pandemic on the performance of Indonesian MSME with innovation as mediation. Cogent Business & Management, 10(1), 2179962.
Udeh, C. A., Orieno, O. H., Daraojimba, O. D., Ndubuisi, N. L., & Oriekhoe, O. I. (2024). Big data analytics: a review of its transformative role in modern business intelligence. Computer Science & IT Research Journal, 5(1), 219-236.
Urban, W. (2017). Amoeba management system transformation in the light of organisational change literature. Management and Production Engineering Review. 8(1), 16-23. DOI: 10.1515/mper-2017-0002
Valero-Gil, J., Surroca, J. A., Tribo, J. A., Gutierrez, L., & Montiel, I. (2023). Innovation vs. standardization: The conjoint effects of eco-innovation and environmental management systems on environmental performance. Research Policy, 52(4), 104737.
Vasilopoulos, C., Theodorakopoulos, L., & Giotopoulos, K. (2023). Big Data and Consumer Behavior: The Power and Pitfalls of Analytics in the Digital Age. Technium Soc. Sci. J., 45, 469.
West, E. (2019). Amazon: Surveillance as a service. Surveillance & Society, 17(1/2), 27-33.
Yanamala, K. K. R. (2024). Strategic implications of AI integration in workforce planning and talent forecasting. Journal of Advanced Computing Systems, 4(1), 1-9.
Yang, F. (2018). The operation mechanism of amoeba’s organizational model. Open Journal of Business and Management, 6(2), 462-469.
Yazıcı, A. M. (2020). Biomimicry and Agile Leadership in Industry 4.0. In Agile Business Leadership Methods for Industry 4.0 (pp. 155-170). Emerald Publishing Limited.
Zhai, X. (2024). Visualizing walmart’s supply chain management: A case study on detailed warehouse management practices. Transactions on Economics, Business and Management Research, 10, 37-41.
Zhang, X., Chu, Z., Ren, L., & Xing, J. (2023). Open innovation and sustainable competitive advantage: The role of organizational learning. Technological Forecasting and Social Change, 186, 122114.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Örgütsel Davranış

Bölüm

Derleme

Yazarlar

Ayşe Meriç Yazıcı
0000-0001-6769-2599
Türkiye

Mesut Öztırak ^*
0000-0003-4828-7293
Türkiye

Erken Görünüm Tarihi

31 Ekim 2024

Yayımlanma Tarihi

31 Ekim 2024

Gönderilme Tarihi

16 Eylül 2024

Kabul Tarihi

18 Ekim 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 7 Sayı: 4

DOI

https://doi.org/10.33723/rs.1551290

IZ

https://izlik.org/JA57WL89BA

APA

Yazıcı, A. M., & Öztırak, M. (2024). BIG DATA AND AMOEBA ORGANIZATIONS: INNOVATIVE MANAGEMENT IN DECISION MAKING PROCESSES. R&S - Research Studies Anatolia Journal, 7(4), 519-551. https://doi.org/10.33723/rs.1551290

AMA

1.Yazıcı AM, Öztırak M. BIG DATA AND AMOEBA ORGANIZATIONS: INNOVATIVE MANAGEMENT IN DECISION MAKING PROCESSES. R&S - Research Studies Anatolia Journal. 2024;7(4):519-551. doi:10.33723/rs.1551290

Chicago

Yazıcı, Ayşe Meriç, ve Mesut Öztırak. 2024. “BIG DATA AND AMOEBA ORGANIZATIONS: INNOVATIVE MANAGEMENT IN DECISION MAKING PROCESSES”. R&S - Research Studies Anatolia Journal 7 (4): 519-51. https://doi.org/10.33723/rs.1551290.

EndNote

Yazıcı AM, Öztırak M (01 Ekim 2024) BIG DATA AND AMOEBA ORGANIZATIONS: INNOVATIVE MANAGEMENT IN DECISION MAKING PROCESSES. R&S - Research Studies Anatolia Journal 7 4 519–551.

IEEE

[1]A. M. Yazıcı ve M. Öztırak, “BIG DATA AND AMOEBA ORGANIZATIONS: INNOVATIVE MANAGEMENT IN DECISION MAKING PROCESSES”, R&S - Research Studies Anatolia Journal, c. 7, sy 4, ss. 519–551, Eki. 2024, doi: 10.33723/rs.1551290.

ISNAD

Yazıcı, Ayşe Meriç - Öztırak, Mesut. “BIG DATA AND AMOEBA ORGANIZATIONS: INNOVATIVE MANAGEMENT IN DECISION MAKING PROCESSES”. R&S - Research Studies Anatolia Journal 7/4 (01 Ekim 2024): 519-551. https://doi.org/10.33723/rs.1551290.

JAMA

1.Yazıcı AM, Öztırak M. BIG DATA AND AMOEBA ORGANIZATIONS: INNOVATIVE MANAGEMENT IN DECISION MAKING PROCESSES. R&S - Research Studies Anatolia Journal. 2024;7:519–551.

MLA

Yazıcı, Ayşe Meriç, ve Mesut Öztırak. “BIG DATA AND AMOEBA ORGANIZATIONS: INNOVATIVE MANAGEMENT IN DECISION MAKING PROCESSES”. R&S - Research Studies Anatolia Journal, c. 7, sy 4, Ekim 2024, ss. 519-51, doi:10.33723/rs.1551290.

Vancouver

1.Ayşe Meriç Yazıcı, Mesut Öztırak. BIG DATA AND AMOEBA ORGANIZATIONS: INNOVATIVE MANAGEMENT IN DECISION MAKING PROCESSES. R&S - Research Studies Anatolia Journal. 01 Ekim 2024;7(4):519-51. doi:10.33723/rs.1551290

R&S - Research Studies Anatolia Journal

https://dergipark.org.tr/rs

rsanatolia@gmail.com

BIG DATA AND AMOEBA ORGANIZATIONS: INNOVATIVE MANAGEMENT IN DECISION MAKING PROCESSES

BÜYÜK VERİ VE AMİP ORGANİZASYONLAR: KARAR ALMA SÜREÇLERİNDEKİ YENİLİKÇİ YÖNETİM

Öz

Anahtar Kelimeler

BIG DATA AND AMOEBA ORGANIZATIONS: INNOVATIVE MANAGEMENT IN DECISION MAKING PROCESSES

Öz

Anahtar Kelimeler

Destekleyen Kurum

Etik Beyan

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Erken Görünüm Tarihi

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster