Open AccessFog computing-based logistic supply chain management and organizational agility: The mediating role of user satisfaction
Author(s) -
Nader Mohammad Aljawarneh,
Mohamad M. Taamneh,
Nouh Alhndawi,
Khaled Abed Alqader Alomari,
Fawzieh Masa'd
Publication year - 2021
Publication title -
uncertain supply chain management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.395
H-Index - 16
eISSN - 2291-6830
pISSN - 2291-6822
DOI - 10.5267/j.uscm.2021.4.001
Subject(s) - supply chain , customer satisfaction , knowledge management , user satisfaction , cronbach's alpha , computer science , supply chain management , process management , sample (material) , business , marketing , service (business) , human–computer interaction , chemistry , chromatography
Although fog computing-based logistic supply chain management (Fog computing-based LSCM) is an emerging technology that proved a high impact on services and products, little research has focused on fog computing-based LSCM. Drawing on the Kano model and organization's theory this paper investigates the effect of fog computing-based LSCM on organizational agility. And the role of user satisfaction as mediator between fog computing-based LSCM and organizational agility. A quantitative approach was used, a questionnaire was designed for data collection, Cronbach's Alpha test was performed on a pilot study to examine the internal consistency of questionnaire items. Fog computing-based LSCM was studied based on Supply chain awareness, Connectivity and Logistics, Integration Process, Seamless Supply Chain, Integration of Processes. Data was collected from a random sample of 550 employees of Al-Hassan industrial city in Jordan. Building on the proposed model, Researchers show that fog computing-based LSCM has a positive impact on organizational agility, fog computing-based LSCM has a positive impact on user satisfaction and finally user satisfaction mediates the relationship between fog computing-based LSCM and organizational agility. Implications for the model are discussed.