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Confirmatory factor analysis for testing the validity and reliability of an internal capability and logistics outsourcing measurement scale

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study aims to develop and validate a measurement scale for internal capability and logistics outsourcing. Regarding the goal of this study, data were obtained from 180 respondents who are currently performing logistics outsourcing in different fields in Sudan (oil industry, telecommunications, logistics services and manufacturing). Depending on the questioner technique, a total of 36 items and 5 subscales were generated based on the literature. The study uses a five-point Likert-style response scale (ranging from strongly agree to strongly disagree). The scale was subjected to confirmatory factor analysis (CFA) for determining the validity and reliability of the study dataset. Cronbach’s alpha reliability coefficient (α) of the scale was reported to be 0.88. Findings of the study indicate that the resulting internal capability and Logistics outsourcing measurement scale can serve as a valuable tool for measuring the Logistics outsourcing drivers, namely time-related drivers, cost-related drivers, flexibility-related drivers, and quality-related drivers.
Słowa kluczowe
EN
PL
Czasopismo
Rocznik
Strony
141--154
Opis fizyczny
Bibliogr. 39 poz.
Twórcy
  • Petro-energy E & P Company, Khartoum, Sudan
  • Qassim University Mlida quarter and, it is near of Saudi Aramco and Prince Nayef bin Abdulaziz Regional Airport, 51452, Qassim, Saudi Arabia
autor
  • Qassim University Mlida quarter and, it is near of Saudi Aramco and Prince Nayef bin Abdulaziz Regional Airport, 51452, Qassim, Saudi Arabia
  • Qassim University Mlida quarter and, it is near of Saudi Aramco and Prince Nayef bin Abdulaziz Regional Airport, 51452, Qassim, Saudi Arabia
Bibliografia
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Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9e96fc8a-21e2-42c7-82c5-6834143b42fd
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