Business analytics adoption and technological intensity: An efficiency analysis

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Tarih

2023

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Springer

Erişim Hakkı

info:eu-repo/semantics/openAccess

Araştırma projeleri

Organizasyon Birimleri

Organizasyon Birimi
Yönetim Bilimleri Fakültesi, İşletme Bölümü
Küresel rekabete ayak uydurmak ve sürdürülebilir olmak isteyen tüm şirketler ve kurumlar, değişimi doğru bir şekilde yönetmek, teknolojinin gerekli kıldığı zihinsel ve operasyonel dönüşümü kurumlarına hızlı bir şekilde adapte etmek zorundadırlar.

Dergi sayısı

Özet

Despite the overwhelming popularity of business analytics (BA) as an evidence-based decision support mechanism, the impact of its adoption on organizational performance has received scant attention from the research community. This study aims to unfold the adoption efficiencies of BA and its applications by proposing a data envelopment analysis (DEA) methodology to holistically assess the underlying factors with respect to the level of achievement regarding organizational performance, operational performance, and financial performance. Furthermore, the study unveils the firm-level and sectoral-level discrepancies in BA adoption efficiency in different industry settings. Relying on survey data obtained from 204 executives in various industries, this study provides empirical support for the cross-industry differences in BA adoption efficiencies. The results show that the firms in low-tech industries seem to achieve the highest efficiency from adopting BA regarding its influence on firm performance.

Açıklama

[ArticleInPress]

Anahtar Kelimeler

Business Analytics, Data Envelopment Analysis (DEA), Decision-Making Performance, Emerging Countries, Operational Performance, Organizational Performance, Resource-Based View, Turkey

Kaynak

Information Systems Frontiers

WoS Q Değeri

Q1

Scopus Q Değeri

Q1

Cilt

Sayı

Künye

Bayraktar, E., Tatoğlu, E., Aydıner, A. S. ve Delen, D. (2023). Business analytics adoption and technological intensity: An efficiency analysis. Information Systems Frontiers. https://dx.doi.org/10.1007/s10796-023-10424-3