Tatoğlu, Ekrem

Profil fotoğrafı
 E-posta Adresi
ekrem.tatoglu@ihu.edu.tr
ORCID Profili
0000-0002-9119-3252
WoS Profili
S-2369-2017
Scopus Profili
57226223582
YÖK Araştırmacı Profili
FDB457570531181F
Google Akademik Profili
tr&user=nWcUDEcAAAAJ
TR-Dizin Profili
762620
SOBİAD Profili
2523
Web Sitesi
akademik.ihu.edu.tr/tr/ekrem-tatoglu

Araştırma projeleri

Organizasyon Birimleri

Organizasyon Birimi Logosu
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.

Adı Soyadı

Ekrem Tatoğlu

İlgi Alanları

International Business, Strategic Management, Emerging Markets, FDI

Kurumdaki Durumu

Aktif Personel

Filtreler

2019 - 201912020 - 20242
Filtreleri Sıfırla

Ayarlar

Konu: Business Analytics ×

Arama Sonuçları

Listeleniyor 1 - 3 / 3
  • Küçük Resim
    Yayın
    Business analytics adoption and technological intensity: An efficiency analysis
    (Springer, 2023) Tatoğlu, Ekrem; Delen, Dursun; Bayraktar, Erkan; Aydıner, Arafat Salih; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    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.
  • Küçük Resim
    Yayın
    Business analytics and firm performance: The mediating role of business process performance
    (Elsevier, 2019) Aydıner, Arafat Salih; Tatoğlu, Ekrem; Bayraktar, Erkan; Zaim, Selim; Delen, Dursun; Tatoğlu, Ekrem; Zaim, Selim; Delen, Dursun; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    Due to the rapidly increasing popularity of business analytics (BA), investigation of the antecedents/determinants of the adoption of BA and the subsequent impact of the same to the firm performance has become an important research topic. Drawing on the fundamentals of the resource-based view (RBV), this study proposes a model that examines the effects of the BA adoption on business process performance (BPER) and the mediating role that BPER plays in the relationship between the adoption of BA and firm performance (FP). Based on the data collected from 204 medium- to high-level business executives in various industries, the results of this empirical study indicate that the adoption of BA positively influences BPER. There is also positive relationship between BPER and FP. Finally, the results show that BPER fully mediates the relationship between BA adoption and FP.
  • Küçük Resim
    Yayın
    Decoding technological frames: A qualitative inquiry into business analytics perspectives
    (Taylor and Francis, 2024) Keskin, Halit; Akgün, Ali Ekber; Tatoğlu, Ekrem; Etlioğlu Başaran, Hatice Tuba; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    Technological frames, examined through the lenses of social construction of technology (SCOT) and social cognition, are pivotal in organisational research. This study presents a comprehensive literature review from SCOT and social cognition perspectives, offering nuanced insights into how individuals perceive and interpret technology. Employing an exploratory qualitative approach, we conducted semi-structured interviews with professionals from diverse industries, chosen for their varied expertise. Through content analysis, we identified eight technological frame domains: affective and cognitive dimensions, application value, personal attitude, job-related factors, managerial and organisational influence, and colleagues’ impact. Our inquiry delves into the intricate factors shaping these frames, highlighting influences at both individual and organisational levels. Crucially, this study underscores the relevance of its findings for business analytics and technology management, illuminating cognitive and affective dimensions that significantly impact technology adoption and organisational outcomes.