Critical factors influencing the dynamic characteristics of fibre-reinforced plastic bridges — a parametric study

2013 ◽  
Vol 33 (3) ◽  
pp. 235-241
Author(s):  
Althaf Mohammed ◽  
Sushanta Chakraborty
Keyword(s):  
Dynamic Characteristics ◽  
Parametric Study ◽  
Critical Factors ◽  
Factors Influencing ◽  
Reinforced Plastic

scholarly journals Evaluating Critical Factors Influencing the Reliability of Emergency Logistics Systems Using Multiple-Attribute Decision Making

Symmetry ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1115 ◽  
Author(s):  
Peng Jiang ◽  
Yixin Wang ◽  
Chao Liu ◽  
Yi-Chung Hu ◽  
Jingci Xie
Keyword(s):  
Decision Making ◽  
Distribution System ◽  
Multiple Attribute Decision Making ◽  
Supply System ◽  
Critical Factors ◽  
Logistics System ◽  
Factors Influencing ◽  
Emergency Logistics ◽  
Multiple Attribute ◽  
Coordination System

The infectious disease COVID-19 has swept across the world in 2020, and it continues to cause massive losses of life and severe economic problems in all countries. Providing emergency supplies such as protective medical equipment and materials required to secure people’s livelihood is thus currently prioritized by governments. Establishing a reliable emergency logistics system is critical in this regard. This paper used the Delphi method to design a formal decision structure to assess emergency logistics system reliability (ELSR) by obtaining a consensus from a panel of experts. Assessing ELSR is a typical multiple-attribute decision making (MADM) problem, and the related MADM methods are usually on the basis of symmetry principles. A hybrid MADM model, called the Decision Making Trial and Evaluation Laboratory (DEMATEL)-based Analytical Network Process (D-ANP), was developed to identify the critical factors influencing ELSR. An analysis of empirical evidence showed that the emergency logistics command and coordination system and the emergency material supply system play important roles in ELSR, while the emergency logistics transportation and distribution system and the emergency information system are not so important. This conclusion is different from previous research about traditional disaster emergency logistics. Moreover, the cause–effect relationships among the key factors indicated that the system of command and coordination for emergency logistics and the supply system for emergency materials should be improved. Accordingly, effective suggestions for emergency logistics services for epidemic prevention are provided in this paper. The main contributions of this paper are (1) establishing a comprehensive and systematic evaluating index of ELSR for epidemic prevention; (2) employing a kind of structured, namely D-ANP, to identify the critical factors with non-commensurable and conflicting (competing) characteristics; and (3) comparing the differences of reliable criteria between the emergency logistics of epidemic prevention and the traditional disaster emergency logistics.

CRITICAL FACTORS INFLUENCING IMPLEMENTATION OF ROAD PROJECTS IN KENYA

2019 ◽  
Vol 4 (2) ◽  
pp. 1-22
Author(s):  
Nelly Jebitok ◽  
DR. Joyce Nzulwa
Keyword(s):  
Project Management ◽  
Survey Design ◽  
Target Population ◽  
Coefficient Of Determination ◽  
Critical Factors ◽  
Policy And Practice ◽  
Water Projects ◽  
Factors Influencing ◽  
The Government ◽  
Resource Support

Purpose: The Purpose of the study was to establish Critical factors influencing implementation of road projects.Methodology: The study adopted a descriptive survey design. The target population of the study was all the road engineers, middle managers in department of KRB. The sample size was 188 respondents. Data collected was cleaned, pretested, validated, and coded, summarized and analyzed using statistical package of SPSS V23.  The study findings were presented using graphs, histograms, bar charts and pie charts.  Conclusions were derived based on the P.value and the coefficient of determination.  Results: The study found that the key significant determinants of sustainability of water projects in Machakos County were capacity of the project management, government policies, monitoring and resource support. The study concluded that project management capacity had the greatest determinant ofsustainabilityofwater projects in Machakos County, followed by resource support, then monitoring while government policy had the least determinant of sustainability of water projects in Machakos County.Contribution to policy and practice: The study recommends that the government should advocate for proper planning with involvement of the benefiting community and timely implementation with the required results. This can be done through making of a policy by the ministry demanding for the practice of the same by the involved organizations. The project committee should set up financial structures considering both rising of funds and dissemination of the same in relation to operating and maintaining of the project. This can be done through learning and training on the same. The study also recommended that water beneficiaries and management should be sensitized to improve their knowledge on conservation and protection of water facilities.

scholarly journals Factors Influencing on E-Banking Practices: Evidence from Sri Lanka

2017 ◽  
Vol 9 (1) ◽  
pp. 1 ◽  
Author(s):  
Anusiga Gunaratnam ◽  
Konalingam Kajenthiran ◽  
Umanakenan Ratnam ◽  
Achchuthan Sivapalan
Keyword(s):  
Factor Analysis ◽  
Sri Lanka ◽  
Influencing Factors ◽  
Likert Scale ◽  
Total Variance ◽  
Critical Factors ◽  
Factors Influencing ◽  
Unique Model

The purpose of this paper is to explore the influencing factors of e-banking practices in Sri Lanka. A questionnaire with seven-point Likert scale is applied to 388 usable responses. The study was exploratory in nature and employed factor analysis to identify the important factors of e-banking practices. Results indicate that mainly four factors are significant with respect to the e-banking practices. Privacy & convenience, content & website layout, speed of delivery, and accessibility are the critical factors influencing the e-banking practices. In addition, factors extracted from the analysis accounted for 53.704% of the total variance. This study expected to provide a unique model in the realm of e-banking.

scholarly journals Critical Factors Influencing CO2 Capture Cost, a Case Study

2014 ◽  
Vol 63 ◽  
pp. 7298-7306 ◽  
Author(s):  
Ragnhild Skagestad ◽  
Agnieszka Lach ◽  
Nils Røkke ◽  
Nils Henrik Eldrup
Keyword(s):  
Co2 Capture ◽  
Critical Factors ◽  
Factors Influencing

A Study on Slag Composition inside Biomass Boiler System

2020 ◽  
Vol 901 ◽  
pp. 113-117
Author(s):  
Jirasak Tharajak ◽  
Noppakun Sanpo
Keyword(s):  
High Temperature ◽  
Chemical Composition ◽  
Slag Composition ◽  
Pulp And Paper ◽  
Critical Factors ◽  
Temperature Zone ◽  
Biomass Boiler ◽  
Factors Influencing ◽  
Steel Industries ◽  
Reliability And Availability

It was found that slagging in high temperature zone is one of the major problems in the refinery, petrochemical, pulp and paper, and steel industries; especially in biomass and coal pulverized power plant. Slagging conditions are critical factors influencing reliability and availability on a biomass utility boiler. In this study, several types of slagging were collected for chemical analysis. It was revealed that the chemical composition and other properties of received slagging showed unique results based on the type of feedstock fuel materials.

Quantifying SWOT analysis for cloud adoption using FAHP-DEMATEL approach: evidence from the manufacturing sector

2020 ◽  
Vol 33 (5) ◽  
pp. 1111-1152 ◽  
Author(s):  
Mahak Sharma ◽  
Rajat Sehrawat
Keyword(s):  
Technology Acceptance ◽  
Industrial Revolution ◽  
Swot Analysis ◽  
Manufacturing Sector ◽  
Critical Factors ◽  
Time To Market ◽  
Content Type ◽  
Organizational Issues ◽  
Factors Influencing ◽  
Indian Manufacturing Sector

PurposeThis study aims to identify the critical factors (barriers and drivers) influencing the adoption of cloud computing (ACC) in the manufacturing sector in India.Design/methodology/approachIn this study, a mixed methodology approach is used. Interviews are conducted to investigate factors (drivers and barriers) influencing the ACC, which are further categorized as controllable determinants (weaknesses and strengths) and uncontrollable determinants (threats and opportunities) using a SWOT analysis. Fuzzy analytic hierarchy process (FAHP) has been utilized to highlight the most critical drivers as well as barriers. Finally, decision-making trial and evaluation laboratory (DEMATEL) has been used to find the cause-effect relationships among factors and their influence on the decision of adoption.FindingsThe manufacturing sector is in the digital and value change transformation phase with Industry 4.0, that is, the next industrial revolution. The 24 critical factors influencing ACC are subdivided into strengths, weaknesses, opportunities and threats. The FAHP analysis ranked time to market, competitive advantage, business agility, data confidentiality and lack of government policy standards as the most critical factors. The cause-effect relationships highlight that time to market is the most significant causal factor, and resistance to technology is the least significant effect factor. The results of the study elucidate that the strengths of ACC are appreciably more than its weaknesses.Research limitations/implicationsThis study couples the technology acceptance model (TAM) with technology-organization-environment (TOE) framework and adds an economic perspective to examine the significant influences of ACC in the Indian manufacturing sector. Further, it contributes to the knowledge of ACC in general and provides valuable insights into interrelationships among factors influencing the decision and strategies of adoption in particular.Originality/valueThis is the first scholarly work in the Indian manufacturing sector that uses the analysis from SWOT and FAHP approach as a base for identifying cause-effect relationships between the critical factors influencing ACC. Further, based on the extant literature and analysis of this work, an adoption framework has been proposed that justifies that ACC is not just a technological challenge but is also an environmental, economic and organizational challenge that includes organizational issues, costs and need for adequate government policies.

A methodology for identifying critical factors influencing land value in urban areas: a case study of Kerala, India

2020 ◽  
Vol 38 (5) ◽  
pp. 665-681
Author(s):  
Binoy BV ◽  
Naseer MA ◽  
Anil Kumar PP
Keyword(s):  
Expert Opinion ◽  
Urban Areas ◽  
Environmental Planning ◽  
Delphi Survey ◽  
Land Value ◽  
Critical Factors ◽  
Content Type ◽  
Factors Influencing ◽  
Importance Index

PurposeLand value is a measure of the specific features of a property, excluding buildings and other developments. Land value varies depending on the economic, geographic and political aspects of a particular location. The primary purpose of the paper is to identify the general and location-specific attributes impacting property prices in urban Kerala.Design/methodology/approachThe objective of the current study was achieved through a three-cycle Delphi survey and relative importance index (RII) approach. The experts who aided in the survey had a mutual interest in the subject but came from different backgrounds like property valuation, real estate, urban and environmental planning. The initial group of variables identified from the literature was expanded and scrutinized in the first cycle of the Delphi survey. The variables were grouped into five major categories and 13 subcategories based on the literature and expert opinion. In the subsequent stages, the short-listed variables were rated on a seven-point Likert scale until a consensus was attained. The top-ranked variables were identified through the RII method as the critical factors influencing land value in urban Kerala.FindingsThe results indicate that road accessibility and proximity to nuisance sources are the most crucial parameters. The outcome of the study will provide a better understanding of the dynamics of land value and the influencing factors in urban areas.Originality/valuePrevious studies do not give much consideration for the location-specific variability on the influencing parameters. Property management research has not considered the usage of expert opinion and RII for variable selection.

Sign in / Sign up

Export Citation Format

Share Document