Journals / Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi / 2019 / Cilt: 0 - Sayı: 54

BUSINESS ANALYTICS and VALUE CHAIN: A COMPREHENSIVE and SYSTEMATIC LITERATURE REVIEW

İŞ ANALİTİĞİ ve DEĞER ZİNCİRİ: DETAYLI ve SİSTEMATİK BİR LİTERATÜR TARAMASI

Pages
1–24
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

By this means, what sort of values are created by the firms those use Business Analytics will be demonstrated from the Value Chain perspective.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The rapid developments in information and communication technologies have triggered radical changes in the business world.
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Key Findings & Data:Firms that use Business Analytics obtain beneficial insights from the data and use these data to support their decision-making processes which eventually create competitive advantage and strategic value for firms.
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Conclusion & Impact:By this means, what sort of values are created by the firms those use Business Analytics will be demonstrated from the Value Chain perspective.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The rapid developments in information and communication technologies have triggered radical changes in the business world. In order to remain competitive, current firms must pursue the transforming and developing data sources; update the data collection and storage technologies; manage the data effectively and acquire useful knowledge from databases to transform it into the value. Firms that use Business Analytics obtain beneficial insights from the data and use these data to support their decision-making processes which eventually create competitive advantage and strategic value for firms. In this review, the concept of Business Analytics will be examined thoroughly, and it will be linked with the Value Chain Model. By this means, what sort of values are created by the firms those use Business Analytics will be demonstrated from the Value Chain perspective.

Özet

Bilgi ve iletişim teknolojilerindeki yaşanan hızlı gelişmeler iş dünyasında da köklü değişimlere yol açmaktadır. Günümüz firmaları rekabet edebilmek amacıyla hızlı bir biçimde değişen ve gelişen veri kaynaklarını takip etmek, veri toplama ve depolama teknolojilerini güncellemek, veriyi her geçen gün daha etkin yönetmek ve veriden faydalı bilgiler elde edip bu bilgileri değere dönüştürmek zorundadır. Firmalar, İş Analitiği sayesinde sahip oldukları verilerden yararlı bilgiler elde edip bu bilgilerle karar verme süreçlerini destekleyip rekabet avantajı sağlamakta ve stratejik değer elde etmektedir. Bu derleme çalışmasında İş Analitiği konusu sistematik bir biçimde ayrıntılı olarak incelenecek ayrıca Değer Zinciri Analizi ile bağlantısı kurulacaktır. Bu sayede İş Analitiğinden faydalanan firmaların ne tür değerler geliştirdikleri Değer Zinciri Analizi perspektifinden ortaya konacaktır.

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Cite This Article

BİLGİÇ, E., TÜRKMENOĞLU, M. A., BATI, G. B. (2022). BUSINESS ANALYTICS and VALUE CHAIN: A COMPREHENSIVE and SYSTEMATIC LITERATURE REVIEW. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 0 - Sayı: 54, 1–24. https://ajindex.com/articles/503449

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References (15)

  1. Anand, A., Sharma, R. ve Kohli, R. (2013, Aralık). Routines, Reconfiguration and the Contribution of Business Analytics to Organisational Performance. Paper presented at 24th Australasian Conference on Information Systems, RMIT University,Australia. Ando, T. (2018). Merchant Selection and Pricing Strategy for A Platform Firm In the Online Group Buying Market. Annals of Operations Research, 263(1-2), 209-230.
  2. Aydıner, A.S., Tatoğlu, E., Bayraktar, E., Zaim, S. ve Delen, D. (2019). Business Analytics and Firm Performance: the Mediating Role of Business Process Performance. Journal of Business Research, 96, 228-237.
  3. Banerjee, A., Bandyopadhyay, T. ve Acharya, P. (2013). Data Analytics: Hyped Up Aspirations or True Potential? Vikalpa, 38(4), 1-12.
  4. Bedeley, R.T., Ghoshal, T., Iyer, L.S. ve Bhadury, J. (2018). Business Analytics and Organizational Value Chains: A Relational Mapping. Journal of computer information systems, 58(2), 151-161.
  5. Bose, R. (2009). Advanced Analytics: Opportunities and Challenges. Industrial Management & Data Systems, 109(2), 155-172.
  6. Bronzo, M., De Resende, P.T.V., De Oliveira, M.P.V., Mccormack, K.P., De Sousa, P.R. ve Ferreira, R.L. (2013). Improving Performance Aligning Business Analytics with Process Orientation. International Journal of information management, 33(2), 300-307.
  7. Cao, G., Duan, Y. ve Li, G. (2015). Linking Business Analytics to Decision Making Effectiveness: A Path Model Analysis. IEEE Transactions on Engineering Management, 62(3), 384-395.
  8. Chae, B.K. (2014). A Complexity Theory Approach to It-Enabled Services (Iess) and Service Innovation: Business Analytics as an Illustration of Ies. Decision Support Systems, 57, 1-10.
  9. Chae, B. ve Olson, D.L. (2013). Business Analytics for Supply Chain: A Dynamic-Capabilities Framework. International Journal of Information Technology & Decision Making, 12(01), 9-26.
  10. Chen, H., Chiang, R.HL. ve Storey, V.C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS quarterly, 1165-1188.
  11. Davenport, T.H. (2006). Competing On Analytics. Harvard Business Review, 84(1), 98. Davenport, T.H. ve Harris, J.G. (2007). Competing On Analytics: The New Science of Winning. Boston:Harvard Business Press.
  12. Davenport, T.H. ve Harris, J.G. ve Morison, R. (2010). Analytics at Work: Smarter Decisions, Better Results. Boston, Harvard Business Press.
  13. Delen, D. ve Demirkan, H. (2013).
  14. Data, Information and Analytics as Services.Decision Support Systems, 55(1), 359-363.
  15. Delen, D. ve Ram, S. (