scholarly journals Analysis of Factors Influencing Hospitals’ Implementation of a Green E-Procurement System Using a Cloud Model

2019 ◽  
Vol 16 (24) ◽  
pp. 5137 ◽  
Author(s):  
Hsin-Pin Fu ◽  
Tsung-Sheng Chang ◽  
Hsiao-Ping Yeh ◽  
Yu-Xuan Chen
Keyword(s):  
Technology Innovation ◽  
Service Providers ◽  
Cloud Model ◽  
Theoretical Framework ◽  
Maintenance Cost ◽  
Private Hospitals ◽  
Green Procurement ◽  
Factors Influencing ◽  
Southern Taiwan ◽  
Procurement System

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.

To investigate the determinants of cloud computing adoption in the manufacturing micro, small and medium enterprises

2019 ◽  
Vol 26 (3) ◽  
pp. 990-1019 ◽  
Author(s):  
Rakesh D. Raut ◽  
Bhaskar B. Gardas ◽  
Balkrishna E. Narkhede ◽  
Vaibhav S. Narwane
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Small And Medium Enterprises ◽  
Maintenance Cost ◽  
Critical Factors ◽  
Content Type ◽  
Factors Influencing ◽  
Cloud Computing Adoption ◽  
Medium Enterprises ◽  
Significant Factors

PurposeThe purpose of this paper is to identify the critical factors influencing the cloud computing adoption (CCA) in the manufacturing micro, small and medium enterprises (MSMEs) by employing a decision-making trial and evaluation laboratory (DEMATEL) methodology.Design/methodology/approachThrough literature review and expert opinions, 30 significant factors were identified, and then a DEMATEL approach was applied for exploring the cause–effect relationship between the factors.FindingsThe results of study highlighted that five factors, namely, “hardware scalability and standardisation”, “cost (subscription fees, maintenance cost and implementation cost (CS1)”, “innovation”, “installation and up gradation (CS28)”, and “quality of service” were the most significant factors influencing the CCA in the case sector.Research limitations/implicationsThe DEMATEL model was developed by considering expert inputs, and these inputs could be biased which can influence the reliability of the model. This study guides the organisational managers, cloud service providers and governmental organisations in formulating the new policies/strategies or modifying the existing ones for the effective CCA in the case sector.Originality/valueFor the first time. interdependency between the critical factors influencing CCA was discussed by employing the DEMATEL approach in the Indian manufacturing MSMEs context.

Open Innovation in the Shared Mobility Market

2021 ◽  
Vol 7 (4) ◽  
pp. 212
Author(s):  
Katarzyna Turoń ◽  
Andrzej Kubik
Keyword(s):  
Quality Of Service ◽  
Open Innovation ◽  
Service Providers ◽  
Mutual Benefit ◽  
It Service ◽  
Mobility Service ◽  
Factors Influencing ◽  
Shared Mobility ◽  
Practical Recommendations

The market for shared mobility services is growing very quickly. New types of vehicles have been introduced, and the offer of available services and functionalities has expanded, the purpose of which is to improve the quality of service. Despite all the improvements, it is still not possible to speak of achieving full availability of systems that meet the needs of users. This is due to the reluctant involvement of operators of shared mobility systems in joining Mobility as a Service platforms based on the idea of open innovation. The aim of the article is to analyze the factors influencing the limitations in the development of open innovations in the form of Mobility as a Service (MaaS) services. The authors focus on identifying the challenges and concerns faced by shared mobility service providers. The article supports the development of the concept of open innovation in shared mobility services. It also contains practical recommendations for the development of MaaS systems. The results of the developed research can be used by operators of shared mobility services, transport authorities, or IT service providers providing MaaS services to strengthen cooperation and integration using the language of mutual benefit.

scholarly journals Privacy Preserving Healthcare Data using Cloud Computing

2019 ◽  
Vol 8 (10S) ◽  
pp. 118-124
Keyword(s):  
Cloud Computing ◽  
Rural Areas ◽  
Service Providers ◽  
Cloud Model ◽  
Healthcare Systems ◽  
Healthcare Sector ◽  
Public Healthcare ◽  
It Adoption ◽  
Network Access ◽  
Effective Manner

Cloud Computing is a new way of delivering computing resources and services. It is a model for on-demand network access to a shared pool of configurable computing resources like, networks, servers, storage, applications, and services that can be provided with minimal management effort or service provider interaction. The cloud model is composed of five essential characteristics, four service models, and four deployment models. Healthcare is faster growing way to adopt cloud computing. It is very important for every individual and essential for every country in the Globe. Electronic healthcare systems in the world are moving towards a more accessible, collaborative and more proactive way in reaching out to the public. The delivering of public health solutions can lead to increased efficiencies in health related data. Many nations across the globe have launched aggressive stimulus programs aimed at solving public healthcare problems in efficient way. This review article mainly focus on different ICT based infrastructure facilities available in various hospitals in India, abroad with cost effective manner using cloud computing technologies, services and this will be a best solutions for healthcare systems in rural areas. In this paper analyzed and presented about various cloud service providers, investment in healthcare, IT adoption in Indian Healthcare sector, Major benefits of Cloud-based Patient Management System [PMS], about SADA systems, Top ten cloud storage companies in healthcare and Pros and Cons of EHR systems, comparison of Indian healthcare systems with US system, and various Cloud Simulators.

The Environmental Impact of 5G Technology on Humans and Animals

2021 ◽  
pp. 48-68
Author(s):  
Rakesh Kumar Chandan ◽  
Prem Nath Suman ◽  
Keshav Sinha
Keyword(s):  
Adverse Effect ◽  
Environmental Impact ◽  
Human Exposure ◽  
Service Providers ◽  
Health Impact ◽  
Theoretical Framework ◽  
Advanced Technology ◽  
Wave Frequency ◽  
Small Cells ◽  
Low Latency

5G has the potential to become the future communication technology as it has the capability to provide faster download speeds, extremely low latency, and higher capacity. The deployment of 5G will be as a wi-fi that will cover the entire globe. It will serve an elevated number of devices than the previous technology; therefore, the distribution of radiofrequency electromagnetic fields (RF-EMF) will grow rapidly. Although no direct adverse effect has been reported by the service providers, the real health impact of this advanced technology is still under investigation. It is expected that the mm-wave frequency range (30-300 GHz) is ideal for 5G technology, and the devices, in this operating range, will work at very low power due to which small penetration is supposed to occur, but it will require a high density of small cells. It will increase the chances of human exposure to RF-EMF. In this chapter, a theoretical framework is used to describe the effect of 5G technology on humans and animals and also the rumors related to the adaptation of 5G technology.

Factors influencing inbound medical travel to India

2019 ◽  
Vol 33 (2) ◽  
pp. 155-172 ◽  
Author(s):  
Anita Medhekar ◽  
Ho Yin Wong ◽  
John Edward Hall
Keyword(s):  
Patient Safety ◽  
Medical Treatment ◽  
Waiting Time ◽  
Policy Implications ◽  
Private Hospitals ◽  
Content Type ◽  
Post Surgery ◽  
Factors Influencing ◽  
Travel Abroad ◽  
Treatment Surgery

PurposeThe purpose of this paper is to explore the demand-side factors that influence the inbound medical tourists’ (MTs) decision to travel abroad for medical treatment/surgery.Design/methodology/approachThe researchers conducted thematic analysis of in-depth interviews in India with 24 foreign MTs’ to generate the themes, identify factors and propose a model with hypothesis for future quantitative survey.FindingsThe findings conclude that patients ranked in ascending order less waiting time for surgery, healthcare quality and accreditation, staff/surgeons expertise, healthcare information, hospital facilities and services, patient safety, travel risk, surgical costs and holiday opportunity as important factors that influence the decision to travel abroad for medical treatment/surgery.Research limitations/implicationsForeign patients from six private hospitals were willing to be interviewed with the permission of the hospital. Due to confidentiality and privacy policy, many hospitals declined interviews with foreign patients.Practical implicationsThe findings are generalised in case of foreign patients as MTs and all private hospitals treating foreign patients in India and other global healthcare destinations. Policy implications suggest that private hospitals in developing countries need to provide first-class quality of healthcare as foreign patients look for internationally accredited quality, no waiting time, patient safety, qualified and experienced surgeons, healthcare workers education and experience hospital facilities and post-surgery care with positive healthcare outcomes.Originality/valueThere is little empirical research on the views of inbound MTs, about factors influencing their decision to travel abroad for surgery to India.

scholarly journals The Factors Influencing Technical University Students’ Hospitality and Tourism English Vocabulary Learning

2017 ◽  
Vol 7 (2) ◽  
pp. 18 ◽  
Author(s):  
Chiung-Li Li ◽  
Yi-Chieh Lin ◽  
Chienyan Hsieh
Keyword(s):  
University Students ◽  
Vocabulary Learning ◽  
Descriptive Statistics ◽  
Learning Motivation ◽  
Factors Influencing ◽  
Southern Taiwan ◽  
Hospitality And Tourism ◽  
Technical University ◽  
Tourism And Hospitality ◽  
Male Subjects

The purposes of the study were to examine technical university students’ tourism and hospitality English vocabulary learning achievement and the factors influencing their hospitality and tourism English vocabulary learning. The subjects were 62 students from a technical university in southern Taiwan. The instruments included one questionnaire called TARGETT questionnaire consisting of seven factors about learning motivation on hospitality and tourism English vocabulary and one English test called Professional Vocabulary Quotient Credential (PVQC) on hospitality and tourism. The subjects accepted a 40-hour vocabulary learning training course. Then, the subjects took a 50-minute PVQC test and 10-minute TARGETT questionnaire on December 22, 2015; the researchers collected the data from the questionnaire and PVQC test and analyzed the data by descriptive statistics and inferential statistics. The results revealed that most of the subjects liked to learn hospitality and tourism English vocabulary, and found that learning hospitality and tourism English vocabulary was important for the subjects. The results also showed that male subjects had significantly different opinions from female ones in some factors of learning motivation. Moreover, female and male subjects significantly showed that teaching tasks, grouping activities, and evaluation had more effects on their hospitality and tourism English vocabulary learning. Finally, the researchers drew a conclusion based on the results and provided some teaching and research implications for the future.

scholarly journals Agricultural credit provision: what really determines farmers’ participation and credit rationing?

2017 ◽  
Vol 77 (2) ◽  
pp. 239-256 ◽  
Author(s):  
Collins Asante-Addo ◽  
Jonathan Mockshell ◽  
Manfred Zeller ◽  
Khalid Siddig ◽  
Irene S. Egyir
Keyword(s):  
Service Providers ◽  
Rural Poverty ◽  
Credit Rationing ◽  
Farm Households ◽  
Unique Contribution ◽  
Loan Default ◽  
Content Type ◽  
Factors Influencing ◽  
Entry Points ◽  
Credit Programs

Purpose The purpose of this paper is to analyze determinants of farmers’ participation and credit rationing in microcredit programs using survey data from Ghana. Design/methodology/approach The authors use the Garrett Ranking Technique to analyze farmers’ reasons for participation or non-participation in credit programs, a probit regression model to estimate factors influencing farm households’ participation, and the Heckman’s sample selection model to identify factors influencing farm households’ probability of being credit rationed by microcredit programs. Findings The results reveal that farm households participate in credit programs because of improved access to savings services and agricultural loans. Fear of loan default and lack of savings are reasons for non-participation in credit programs. Furthermore, membership in farmer-based organizations (FBOs) and the household head’s formal education are positively associated with farmers’ participation in credit programs. The likelihood of farmers being credit rationed (i.e. their loan applications were either rejected or the amount of credit they applied for was reduced) is less likely among higher income farmers and members of FBOs such as farmer cooperatives and savings clubs. Practical implications The findings suggest that policy strategies aiming to improve access to savings and credit services should educate farmers and strengthen FBOs that could serve as entry points for financial service providers. Such market smart strategies have the potential to improve farmers’ access to financial services and reduce rural poverty. Originality/value Although existing studies have examined farmers’ participation in credit markets and credit rationing separately, the unique contribution of this paper is the analysis of participation in microcredit programs as well as the likelihood of farmers being credit rationed in Ghana.

Sign in / Sign up

Export Citation Format

Share Document