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BIG DATA ANALYTICS SOFTWARE SELECTION WITH MULTI-CRITERIA DECISION-MAKING METHODS FOR DIGITAL TRANSFORMATION

Yıl 2024, , 297 - 317, 22.07.2024

Tayfun Öztaş

https://doi.org/10.30794/pausbed.1398830

Öz

In the process of transitioning to digital businesses, managers are faced with numerous decision-making challenges across various domains. This complexity poses a significant hurdle for traditional businesses seeking to embrace digital transformation. To address this challenge, the Preference Selection Index (PSI) and Additive Ratio Assessment (ARAS) methods are utilized for selecting Big Data Analytics (BDA) software, employing multi-criteria decision-making (MCDM) approaches. With a scenario involving 8 alternatives and 7 criteria, the PSI method is employed to establish the weights of the criteria. Subsequently, the ARAS method is utilized to rank the alternatives. The analysis identifies "Ease of Use" as the criterion with the highest importance weight (0.1464), while "Data Workflow" emerges as the least significant criterion (0.1378). Based on the highest utility degree (0.9548), the fifth alternative was identified as the most suitable big data analytics software for this scenario. Furthermore, the proposed method's applicability is validated through comparative analysis with five different MCDM methods, reinforcing the reliability of the obtained results.

Anahtar Kelimeler

Digital Business Digital Transformation Big Data Analytics Multi-Criteria Decision-Making

Kaynakça

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DİJİTAL DÖNÜŞÜM İÇİN ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ İLE BÜYÜK VERİ ANALİTİĞİ YAZILIM SEÇİMİ

Yıl 2024, , 297 - 317, 22.07.2024

Tayfun Öztaş

https://doi.org/10.30794/pausbed.1398830

Öz

Dijital işletmelere geçiş sürecinde, yöneticiler çeşitli alanlarda çok sayıda karar verme zorluğuyla karşı karşıya kalmaktadır. Bu karmaşıklık, dijital dönüşümü benimsemek isteyen geleneksel işletmeler için önemli bir engel teşkil etmektedir. Bu zorluğun üstesinden gelmek için, çalışmada Çok Kriterli Karar Verme (ÇKKV) yaklaşımlarından faydalanılarak Büyük Veri Analitiği (BVA) yazılımı seçmek için Tercih Seçim Endeksi (PSI) ve Eklemeli Oran Değerlendirme (ARAS) yöntemleri kullanılmıştır. Sekiz alternatif ve yedi kriter içeren bir senaryoda, kriterlerin ağırlıklarını belirlemek için PSI yöntemi kullanılmıştır. Daha sonra, alternatifleri sıralamak için ARAS yöntemi kullanılmıştır. Analiz sonucunda "Kullanım Kolaylığı" en yüksek önem ağırlığına (0.1464) sahip kriter olarak belirlenirken, "Veri İş Akışı" en az öneme sahip kriter (0.1378) olarak ortaya çıkmıştır. En yüksek fayda derecesine (0.9548) göre, beşinci alternatif bu senaryo için en uygun büyük veri analitiği yazılımı olarak belirlenmiştir. Ayrıca, önerilen yöntemin uygulanabilirliği beş farklı ÇKKV yöntemi ile karşılaştırmalı analiz yoluyla doğrulanarak elde edilen sonuçların güvenilirliği desteklenmiştir.

Anahtar Kelimeler

Dijital İşletme Dijital Dönüşüm Büyük Veri Analitiği Çok Kriterli Karar Verme

Kaynakça

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Toplam 84 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İş Analitiği, İşletme
Bölüm Araştırma Makalesi
Yazarlar

Tayfun Öztaş 0000-0001-8224-5092

Erken Görünüm Tarihi 22 Temmuz 2024
Yayımlanma Tarihi 22 Temmuz 2024
Gönderilme Tarihi 1 Aralık 2023
Kabul Tarihi 24 Haziran 2024
Yayımlandığı Sayı Yıl 2024

Kaynak Göster

APA Öztaş, T. (2024). BIG DATA ANALYTICS SOFTWARE SELECTION WITH MULTI-CRITERIA DECISION-MAKING METHODS FOR DIGITAL TRANSFORMATION. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi(63), 297-317. https://doi.org/10.30794/pausbed.1398830
AMA Öztaş T. BIG DATA ANALYTICS SOFTWARE SELECTION WITH MULTI-CRITERIA DECISION-MAKING METHODS FOR DIGITAL TRANSFORMATION. PAUSBED. Temmuz 2024;(63):297-317. doi:10.30794/pausbed.1398830
Chicago Öztaş, Tayfun. “BIG DATA ANALYTICS SOFTWARE SELECTION WITH MULTI-CRITERIA DECISION-MAKING METHODS FOR DIGITAL TRANSFORMATION”. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, sy. 63 (Temmuz 2024): 297-317. https://doi.org/10.30794/pausbed.1398830.
EndNote Öztaş T (01 Temmuz 2024) BIG DATA ANALYTICS SOFTWARE SELECTION WITH MULTI-CRITERIA DECISION-MAKING METHODS FOR DIGITAL TRANSFORMATION. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 63 297–317.
IEEE T. Öztaş, “BIG DATA ANALYTICS SOFTWARE SELECTION WITH MULTI-CRITERIA DECISION-MAKING METHODS FOR DIGITAL TRANSFORMATION”, PAUSBED, sy. 63, ss. 297–317, Temmuz 2024, doi: 10.30794/pausbed.1398830.
ISNAD Öztaş, Tayfun. “BIG DATA ANALYTICS SOFTWARE SELECTION WITH MULTI-CRITERIA DECISION-MAKING METHODS FOR DIGITAL TRANSFORMATION”. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 63 (Temmuz 2024), 297-317. https://doi.org/10.30794/pausbed.1398830.
JAMA Öztaş T. BIG DATA ANALYTICS SOFTWARE SELECTION WITH MULTI-CRITERIA DECISION-MAKING METHODS FOR DIGITAL TRANSFORMATION. PAUSBED. 2024;:297–317.
MLA Öztaş, Tayfun. “BIG DATA ANALYTICS SOFTWARE SELECTION WITH MULTI-CRITERIA DECISION-MAKING METHODS FOR DIGITAL TRANSFORMATION”. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, sy. 63, 2024, ss. 297-1, doi:10.30794/pausbed.1398830.
Vancouver Öztaş T. BIG DATA ANALYTICS SOFTWARE SELECTION WITH MULTI-CRITERIA DECISION-MAKING METHODS FOR DIGITAL TRANSFORMATION. PAUSBED. 2024(63):297-31.