Assessing the success of floodwater spreading projects using a fuzzy approach

2016 ◽  
Vol 74 (8) ◽  
pp. 1980-1991 ◽  
Author(s):  
Abazar Mostafaei ◽  
Nasrollah Kalantari ◽  
Mirmasoud Kheirkhah Zarkesh
Keyword(s):  
Success Factors ◽  
Project Success ◽  
Key Factors ◽  
Resources Management ◽  
Key Success Factors ◽  
Success Evaluation ◽  
Single Number ◽  
Fuzzy Index ◽  
Soil Water Resources ◽  
Better Than

Floodwater spreading (FWS) is an important multi-objective technology in soil–water resources management, particularly to utilize excess runoff. More than 37 such schemes have been implemented in Iran. To measure the success of FWS projects, the factors influencing their performance is a prerequisite. Experienced professionals were asked to participate in a poll to identify the key factors that govern project success; a total of 50 researchers ultimately participated in the study. Seven factors were identified as key success factors governing the effectiveness of FWS in Iran. Fuzzy logic formalism was used to determine the success of FWS projects by integrating the factors into a single number that demonstrates the overall degree of success. Evaluation of the developed fuzzy index showed that the Tasuj FWS performed better than the other FWS projects investigated in 2009.

scholarly journals Model for assessing the success of SMEs in the internacionali­zation process

2010 ◽  
Vol 58 (6) ◽  
pp. 245-252
Author(s):  
Lea Kubíčková ◽  
Aleš Peprný ◽  
Šárka Nováková
Keyword(s):  
Risk Management ◽  
Success Factors ◽  
Small And Medium Enterprises ◽  
Evaluation Model ◽  
Internationalization Process ◽  
Key Factors ◽  
Simple Method ◽  
Key Success Factors ◽  
Simple Evaluation ◽  
Medium Enterprises

The paper deals with evaluating the success of small and medium-sized companies in in­ter­na­tio­na­li­za­tion process. The process of internationalization is defined in the literature in a many ways; there is a countless variety of different approaches and models of internationalization process of firms. Like all processes in the firm also the internationalization process is accompanied by risks. For risk management it is important to know what the key factors of success are in the international arena. In this article is presented a simple evaluation model that could be used by SMEs to determine not only how strong are they compared to competitors, but also at what level are their key success factors in the process of internationalization. The aim was to find a simple method to help small and medium enterprises to assess their situation in the field of internationalization and to help them identify their strengths and weaknesses in this area. Proposed simple evaluation model has the graphic output from which it can be seen in which areas the company is doing well in internationalization process and in what areas is doing badly – then there is room for further improvement. Creating the model it was essential to divide the various factors into several groups and further evaluation to determine the range by which SMEs can quantify the level of success in internationalization process. Before the model was constructed it was necessary to collect data among small and mid-sized firms, and to process the outputs of the survey. After confirmation or to rejection of the certain hypotheses key success factors of SMEs in the internationalization process were selected and these factors were then aggregated into 4 groups. The model was then applied to data obtained from a survey of 40 SMEs and in the paper there are presented specific examples of graphical output of the model for the best and worst rated company. Authors are aware that the model is simple and has its limits, there is the need of much more work and the authors foresee further modifications of this model.

The Success of the Link Model Programme in Rural Bangladesh: An Empirical Analysis

2018 ◽  
Vol 3 (2) ◽  
pp. 191-214
Author(s):  
Shutaro Takeda ◽  
Go Okui ◽  
Nanao Fujimura ◽  
Hisae Abe ◽  
Yuka Ohashi ◽  
...  
Keyword(s):  
Success Factors ◽  
Strongly Correlated ◽  
Key Factors ◽  
Or Education ◽  
Key Success Factors ◽  
Development Officers ◽  
Model Project ◽  
Degree Of Satisfaction ◽  
Link Model ◽  
Rural Appraisal

Link Model, a participatory rural appraisal (PRA) programme for micro-infrastructure construction funding aid, has received much attention in Bangladesh over the last few decades. This study aims to contribute to the latest phase of the Link Model project, launched in July 2016 by the Bangladeshi government. To this end, the authors conducted a field survey in Kalihati Upazila, which involved 102 villagers and 153 local representatives. The authors used the survey to examine the efficacy of the programme and to identify the key factors that contribute to its success. Results obtained from the questionnaire survey showed that the programme had high degrees of satisfaction and penetration in the surveyed villages. Moreover, the degree of satisfaction was unaffected by gender, religion, income or education background, which is notably consistent with the ideals of PRA. Villagers who understood the policy better were more satisfied with the micro-infrastructures developed through the Link Model programme. The ratings of union development officers (UDO) strongly correlated with the number of micro-infrastructures. Therefore, this study concludes that the key success factors of Link Model are (a) the understanding of villagers on the programme for quality and (b) the capability of UDO for quantity.

scholarly journals Key success factors for the management of a shared services business unit (Article 3 of 3)

2006 ◽  
Vol 6 (1) ◽  
Author(s):  
T. N. Van der Linde ◽  
A. L. Boessenkool ◽  
C. J. Jooste
Keyword(s):  
Business Model ◽  
Success Factors ◽  
Shared Services ◽  
Business Unit ◽  
Key Factors ◽  
Literature Study ◽  
Key Success Factors ◽  
Business Units ◽  
Virtual Organisation ◽  
Brick And Mortar

Purpose: The first and second articles in the trilogy introduced shared services as a business model and the various models through which a shared services business can and must evolve to create value. The purpose of this third and final article in the trilogy of articles is to identify the key success factors required to successfully manage a shared services business unit. Methodology: A comprehensive literature study was conducted in order to identify the key success factors required to successfully manage a shared services business unit. This was followed up with an empirical study to determine if organisations that have implemented shared services as a business model are using any of these identified factors to successfully manage their respective shared services business units. Findings: In the article, a framework is generated to help organisations understand the key success factors required to successfully manage a shared services business unit. This work has further potential in that the key factors required can also be used not only in the normal brick and mortar organisations, but also in virtual organisations. Implications: This article presents a comprehensive approach to understand the key success factors required to manage a shared services business unit. These findings are important as they can be applied to a conventional organisation as well as a virtual organisation. Value: This article provides an understanding of the key success factors required to manage a shared services business model. When these key success factors are used as a basis for the management of a shared services business unit, it will continuously create value for the organisation.

scholarly journals KEY SUCCESS FACTORS FOR STATISTICAL LITERACY POSTER COMPETITIONS

2017 ◽  
Vol 16 (1) ◽  
pp. 202-216
Author(s):  
STEVE MACFEELY ◽  
PEDRO CAMPOS ◽  
REIJA HELENIUS
Keyword(s):  
Success Factors ◽  
Statistics Education ◽  
Key Factors ◽  
Statistical Literacy ◽  
Key Success Factors ◽  
Local Schools ◽  
Research Journal ◽  
Societal Norms ◽  
Use Of Technology ◽  
Culture History

Statistical literacy is complex and multifaceted. In every country, education and numeracy are a function of a multitude of factors including culture, history, and societal norms. Nevertheless, since the launch of the International Statistical Poster Competition (ISLP) in 1994, a number of patterns have emerged to suggest there are some common or universal success factors in running statistical literacy competitions involving schools, universities, statistical offices, and many other institutions. This paper outlines some of those factors, such as institutional cooperation, celebrating participation and success, improvement of statistical literacy in the local schools, support for teachers, the involvement of national statistics institutes, and use of technology. These factors have been identified from our own experience running the competition and from articles submitted to the ISLP newsletters. Statistical literacy is a complex phenomenon, and so this is neither an exhaustive list of key factors nor a formula for success, but rather an overview of recurring themes across countries participating in the competition around the world. First published May 2017 at Statistics Education Research Journal Archives

Business Process Reengineering (BPR) Key Success Factors

2014 ◽  
Vol 1 (1) ◽  
pp. 58-66 ◽  
Author(s):  
Bassam Hussein ◽  
Ayman Dayekh
Keyword(s):  
Continuous Improvement ◽  
Business Process ◽  
Success Factors ◽  
Business Process Reengineering ◽  
Process Reengineering ◽  
It Infrastructure ◽  
Key Factors ◽  
Key Success Factors ◽  
Effective Change ◽  
The World

Several authors and researchers have questioned the effectiveness of business process reengineering (BPR) as a holistic organizational approach especially after the demise of giant organizations all over the world. However, at a time of economic turbulence and uncertainty, BPR becomes instrumental in helping organizations reengineer existing processes and optimize them to better stay competitive and accelerate business. This paper addresses this criticism and proposes a framework that encompasses key factors that must be considered in any BPR initiative in order to ensure its success. As well as providing executives with a practical guide to consult when starting, planning, implementing and controlling the different activities needed to complete a reengineering project. The paper also identifies and elaborates on the key success BPR factors: 1) Organization wide commitment, 2) BPR team composition, 3) Business needs analysis, 4) Adequate IT infrastructure, 5) Effective change management, and 6) Ongoing continuous improvement. These key factors are presented in light of supporting literature.

scholarly journals Study for the Key Success Factors of Female Direct Selling Business

2020 ◽  
Author(s):  
Fang Shin Lin
Keyword(s):  
Gender Roles ◽  
Personality Traits ◽  
Success Factors ◽  
World Federation ◽  
Key Factors ◽  
Direct Selling ◽  
Female Entrepreneurs ◽  
Key Success Factors ◽  
Percentage Points ◽  
Erotic Capital

The purpose of this study is to understand the key factors which result in the success of female direct selling businesses. Investigate the reasons why women support most of their performance in the direct selling industry. According to the Taiwan Fair Trade Commission's 2018 direct selling industry survey report, the total direct selling of Taiwan in 2018 was 83.027 billion NTD, with a total of 3.0838 million distributors. There were 2.158 million female distributors, accounting for 3.083 million total distributors. It is a proportion of 69.99 percentage points, an increase of 1.67 percentage points compared with 2017. This proportion is also comparable to 74% of global distributors is female, calculated by the World Federation of Direct Selling Associations(WDSFA)! The number of female distributors is more than twice that of men. The proportion is getting higher and higher! In the literature review, issues such as “female enterpriser” related literature and “gender roles” and “personality traits," “erotic capital” in the “direct selling industry” have been used as the main resource axis for collecting relevant domestic and foreign literature. Based on the literature summary and the expression of the expert's intention, the expert questionnaire will be based on the professors and the female distributors who have been in the top direct selling companies in Taiwan for more than two years in 2018 to find indicators of success factors, and then use the Analytic Hierarchy Process Method (AHP) Design a general questionnaire. The general questionnaire is for the distributors in Taiwan. Expected to recover 100 copies in the web questionnaire, After obtaining the resources, it will be processed and analyzed. The research results show that the influence facets and factors may have: Female Entrepreneur, Gender roles, Personality Traits, and direct selling business. In particular, the female gender role play and erotic capital may have a greater impact on the results of operating the direct selling business. The study includes the following topics are understanding the background of the female direct selling entrepreneurs, explain the challenges and difficulties of female direct selling entrepreneurs, relevant resources related to female direct selling entrepreneurs and research on the key success factors of female direct selling business.Today, female entrepreneurs are very hard and required to play multiple roles. Between family and business, how do female entrepreneurs make a good performance? I hoped that through this study, key factors could be identified in order to minimize entrepreneurial risks and allocate resources effectively.

scholarly journals Achieving Success Key Factors of Complex Product Systems Projects at Different Life Cycle Stages

2016 ◽  
Vol 5 (3) ◽  
pp. 3-18
Author(s):  
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Dmitry Artemev ◽  
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Elena Grebenshchikova
Keyword(s):  
Life Cycle ◽  
Project Management ◽  
Success Factors ◽  
Key Factors ◽  
Complex Product ◽  
Key Success Factors ◽  
Foreign Companies ◽  
Product Systems ◽  
Life Cycle Stages ◽  
Complex Product Systems

The article contains results of research about key success factors in Complex Product Systemsprojects (CoPS-projects). Results based on survey of major foreign companies� projects managers such as Micron Optics (US), HBM FiberSesning (Portugal), Sylex (Slovakia), OzOptics (USA) and others. The study revealed defining characteristics of successful CoPSprojects, key factors and criteria for determining the success across all life cycle stages. As a result, the article proposes a mechanism of CoPS-project management based on monitoring the success factors at each project stage.

scholarly journals Key success factors of human resources management of the Office of Justice Fund as a result of a study on evaluating enforcement of the Justice Fund Act B.E. 2558 (2015)

2021 ◽  
Vol 58 (1) ◽  
pp. 3900-3904
Author(s):  
Yutthapong Leelakitpaisarn Et al.
Keyword(s):  
Law Enforcement ◽  
Human Resources ◽  
Success Factors ◽  
Human Resources Management ◽  
Group Discussion ◽  
Research Result ◽  
Resources Management ◽  
Key Success Factors ◽  
Multi Stage ◽  
The Law

This research aims to apply result of evaluating enforcement of the Justice Fund Act B.E. 2558 (2015) in the 2nd element, law enforcement into an analysis of key success factors of the Office of Justice Fund (JFO) ’s human resource management for finding way of enhancing efficiency of the law enforcement by revision of the law in line with necessity of making a law and social context and for increasing efficiency of the office management which is a part of the Justice Fund’s operation.  Means of multi-stage sampling and purposive sampling were exercised to select 238 informants. The qualitative research including documentary research, in-depth interview, focus group discussion, and seminar to brainstorm and criticize a preliminary research result were carried out to collect the data.  The research eventually resulted the following key success factors of the Office of Justice Fund’s human resources management: (1) Selecting competent law enforcement personnel pursuant to nature of work; (2) Determining manpower fitting to quantity of work; (3) Assessing performance efficiently; (4) Developing personnel incessantly; (5) Generating morale and mental support to those personnel and (6) Creating surroundings fitting to work.

scholarly journals An assessment of Key Success Factors for Construction Projects in the Democratic Republic of Congo

2021 ◽  
Vol 13 (2(I)) ◽  
pp. 16-34
Author(s):  
Adrien Fariala ◽  
Olawumi Dele Awolusi
Keyword(s):  
Risk Management ◽  
Construction Projects ◽  
Success Factors ◽  
Democratic Republic ◽  
Project Success ◽  
Democratic Republic Of Congo ◽  
Construction Project ◽  
Republic Of Congo ◽  
Key Success Factors ◽  
The Impact

The success of the Government's construction projects in the Democratic Republic of Congo (DRC) since 2011 has been anchored on the potential of construction firms in completing these projects based on the planned timeframe as well as the budget. Consequently, from a project management viewpoint, the main objective of the present study was to assess the critical success factors in developing countries' construction projects and to examine the impact of risk management, leadership, experience and expertise, and project size on construction projects in DRC. Data was gathered from respondents in the construction projects in DRC using quantitative methods. A statistical software program, SPSS version 25, was subsequently used to analyze the collected quantitative data. The findings emanating from this study contribute to the body of knowledge on key success factors in construction projects in DRC as a developing country. It was revealed from the study that the success of construction projects in DRC could be boosted through effective and efficient risk management. In addition, effective and efficient leadership mainly transactional leadership would affect construction project success. Further, the more the experience and expertise of construction project staff, the more likely the project success criteria would be met, and the more likely the project would be successful. And lastly, smaller-sized and medium-sized construction projects may be more successful, whereas mega projects may not be very successful due to insufficient and limited experience and expertise.

scholarly journals An empirical study on the key success factors of ppp-based PCA in the big data environment -- a case study of China

2020 ◽  
Vol 214 ◽  
pp. 01010
Author(s):  
Bowen Su ◽  
Qiliang Hu
Keyword(s):  
Big Data ◽  
Success Factors ◽  
Financial Analysis ◽  
Relevant Literature ◽  
Principal Component ◽  
Government Support ◽  
Key Factors ◽  
Key Success Factors ◽  
Data Environment ◽  
The Government

Public-private partnerships (PPPS) are increasingly being used in the construction of public services such as infrastructure in China. In the process of PPP project implementation, there are successes and failures, and the key factors of success are not completely clear. In order to identify the key factors for the success of PPP projects in the big data environment, PCA analysis is used to solve the problem of how to identify the key factors for the success of PPP projects in the big data environment. By studying the big data of PPP project and relevant literature at home and abroad, 32 potential key factors for success were constructed. The key success factors of PPP project were analyzed by questionnaire survey and principal component analysis. The results show that the 32 key factors for success can be summarized into five categories: political and economic environment, project development and operation management, government support and participation, government credit and commitment, strength of stakeholders, and factors of project bidding and procurement. Among the five factors, the key factors for the success of PPP projects are the continuous optimization of PPP policies, the rational project risk sharing mechanism, the guarantee and commitment of the government, the integrity and stability of government personnel, the satisfaction of public interests, and the complete financial analysis. This PCA method effectively solves the key factors for the success of PPP projects in the big data environment, ensures the smooth implementation of PPP projects, and promotes the long-term development of PPP projects.

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