ASAYİŞ HİZMETLERİNDE TEKNOLOJİ KABUL MODELİ: GEÇERLİK VE GÜVENİRLİK ÇALIŞMASI

Abstract

Bu çalışmada, asayiş hizmetlerinde görev yapan personelin BİT kabul düzeylerini betimleyen bir teknoloji kabul modeli önerilmiştir. Bu amaç doğrultusunda 371 katılımcının yer aldığı çalışmanın verileri, t-testi, ANOVA ve yapısal eşitlik modellemesinden yararlanılarak analiz edilmiştir. Analiz sonucunda, sekiz faktörlü bir teknoloji kabul yapısı ortaya konmuştur. Geçerlik ve güvenirlik ölçütleri sağlanan modelin faktörleri arasında anlamlı ilişkiler bulunmuştur. Faktörler arası ilişkileri tespit etmek için yapısal eşitlik modellemesi analizi yapılmıştır. Modelin endojen değişkenleri (algılanan kullanım kolaylığı, algılanan fayda ve davranışsal niyet) hem kendi aralarında hem de modelin eksojen bağımsız değişkenleri ile (teknoloji öz-yeterliği, algılanan zevk, öznel norm ve kaygı) anlamlı ilişkilere sahiptir. Ayrıca, bazı demografik özellik ve kişi bilgileri ile model faktörleri arasında anlamlı ilişkiler tespit edilmiştir. Çalışmanın, asayiş hizmetlerinde teknolojinin kabulü ve benimsenmesi konularındaki yapılacak çalışmalara fayda sağlayacağı değerlendirilmektedir.

Keywords

• Asayiş Hizmetleri
• Teknoloji Kabul Modeli
• Yapısal Eşitlik Modeli
• TKM

TECHNOLOGY ACCEPTANCE MODEL IN PUBLIC ORDER: A STUDY OF VALIDITY AND RELIABILITY

Abstract

In this study, a technology acceptance model that describes the ICT acceptance levels of personnel working in public order was proposed. For this purpose, the data of the study, which included 371 participants, were analyzed using t-test, ANOVA and structural equality modeling. According to the results, an eight-factor technology acceptance structure was revealed. There were found significant relationships between the factors of the model, whose validity and reliability criteria are proved. Structural equation modeling analysis was conducted to determine the relationships between factors. Endogenous variables of the model (perceived ease of use, perceived usefulness and behavioral intention) have significant relationships both among themselves and with the exogenous independent variables (technology self-efficacy, perceived pleasure, subjective norm and anxiety). Also, significant relationships were found between some demographic characteristics, personal information and model factors. It is considered that this study will contribute to future studies on the acceptance and adoption of technology in public order.

Keywords

• Public Order
• Technology Acceptance Model
• Structural Equation Model
• TAM

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