PMID- 31888203
OWN - NLM
STAT- MEDLINE
DCOM- 20200409
LR  - 20200409
IS  - 1660-4601 (Electronic)
IS  - 1661-7827 (Print)
IS  - 1660-4601 (Linking)
VI  - 16
IP  - 24
DP  - 2019 Dec 16
TI  - Analysis of Factors Influencing Hospitals' Implementation of a Green 
      E-Procurement System Using a Cloud Model.
LID - 10.3390/ijerph16245137 [doi]
LID - 5137
AB  - Currently, the green procurement activities of private hospitals in Taiwan follow 
      the self-built green electronic-procurement (e-procurement) system. This requires 
      professional personnel to take the time to regularly update the green 
      specification and software and hardware of the e-procurement system, and the 
      information system maintenance cost is high. In the case of a green e-procurement 
      system crash, the efficiency of green procurement activities for hospitals is 
      affected. If the green e-procurement can be moved to a convenient and trusty 
      cloud computing model, this will enhance the efficiency of procurement activities 
      and reduce the information maintenance cost for private hospitals. However, 
      implementing a cloud model is an issue of technology innovation application and 
      the technology-organization-environment (TOE) framework has been widely applied 
      as the theoretical framework in technology innovation application. In addition, 
      finding the weight of factors is a multi-criteria decision-making (MCDM) issue. 
      Therefore, the present study first collected factors influencing implementation 
      of the cloud mode together with the TOE as the theoretical framework, by 
      reviewing the literature. Therefore, an expert questionnaire was designed and 
      distributed to top managers of 20 private hospitals in southern Taiwan. The fuzzy 
      analysis hierarchical process (FAHP), which is a MCDM tool, finds the weights of 
      the factors influencing private hospitals in southern Taiwan when they implement 
      a cloud green e-procurement system. The research results can enable private 
      hospitals to successfully implement a green e-procurement system through a cloud 
      model by optimizing resource allocation according to the weight of each factor. 
      In addition, the results of this research can help cloud service providers of 
      green e-procurement understand users' needs and develop relevant cloud solutions 
      and marketing strategies.
FAU - Fu, Hsin-Pin
AU  - Fu HP
AUID- ORCID: 0000-0002-7185-6557
AD  - Department of Marketing and Distribution, National Kaohsiung University of 
      Science and Technology, Kaohsiung 824, Taiwan.
FAU - Chang, Tsung-Sheng
AU  - Chang TS
AD  - Department of Information Management, Da-Yeh University, Changhua 515, Taiwan.
FAU - Yeh, Hsiao-Ping
AU  - Yeh HP
AD  - Department of Marketing and Distribution, National Kaohsiung University of 
      Science and Technology, Kaohsiung 824, Taiwan.
FAU - Chen, Yu-Xuan
AU  - Chen YX
AD  - Department of Marketing and Distribution, National Kaohsiung University of 
      Science and Technology, Kaohsiung 824, Taiwan.
LA  - eng
PT  - Journal Article
DEP - 20191216
PL  - Switzerland
TA  - Int J Environ Res Public Health
JT  - International journal of environmental research and public health
JID - 101238455
SB  - IM
MH  - Cloud Computing/*economics/*statistics & numerical data
MH  - Financial Management, Hospital/*organization & administration/*statistics & 
      numerical data
MH  - Humans
MH  - Materials Management, Hospital/*organization & administration/*statistics & 
      numerical data
MH  - Surveys and Questionnaires
MH  - Taiwan
PMC - PMC6950739
OTO - NOTNLM
OT  - FAHP
OT  - Influencing factors
OT  - TOE
OT  - cloud model
OT  - green e-procurement
OT  - hospitals
COIS- The authors declare no conflict of interest.
EDAT- 2020/01/01 06:00
MHDA- 2020/04/10 06:00
PMCR- 2019/12/01
CRDT- 2020/01/01 06:00
PHST- 2019/11/15 00:00 [received]
PHST- 2019/12/13 00:00 [revised]
PHST- 2019/12/15 00:00 [accepted]
PHST- 2020/01/01 06:00 [entrez]
PHST- 2020/01/01 06:00 [pubmed]
PHST- 2020/04/10 06:00 [medline]
PHST- 2019/12/01 00:00 [pmc-release]
AID - ijerph16245137 [pii]
AID - ijerph-16-05137 [pii]
AID - 10.3390/ijerph16245137 [doi]
PST - epublish
SO  - Int J Environ Res Public Health. 2019 Dec 16;16(24):5137. doi: 
      10.3390/ijerph16245137.