Modeling schedule overrun and cost escalation percentages of highway projects using fuzzy approach

2017 ◽  
Vol 24 (5) ◽  
pp. 809-827 ◽  
Author(s):  
Ahmed Ebrahim Abu El-Maaty ◽  
Amr M. El-Kholy ◽  
Ahmed Yousry Akal
Keyword(s):  
Linear Regression ◽  
Design Methodology ◽  
Fuzzy Theory ◽  
Linear Regression Analysis ◽  
Fuzzy Approach ◽  
Analysis Method ◽  
Highway Projects ◽  
Content Type ◽  
Theoretical And Numerical Analysis ◽  
Better Than

Purpose Modeling represents the art of translating problems from an application area into tractable mathematical formulations whose theoretical and numerical analysis provides insight, answers and guidance useful for the originating application. The purpose of this paper is to determine the causal causes of schedule overrun and cost escalation of highway projects in Egypt in order to be used as independents variables in mathematical models for predicting the percentages of schedule overrun and cost escalation of such projects in Egypt. Design/methodology/approach A survey of a randomly selected samples yielded responses from 40 owners, 15 consultants and 56 contractors. The survey includes 38 schedule overrun factors and 26 cost escalation factors. The effectiveness degree of the identified factors has been identified by the triangle fuzzy approach. Findings The results of the survey show that “contractor’s technical staff is insufficient and ineligible to accomplish the project” is the most important cause of schedule overrun, while the major cause of cost escalation is inadequate preparation of the project concerning planning and execution. Originality/value The main contribution of this study is predicting the percentages of schedule overrun and cost escalation of highway projects in Egypt. Through the application of the linear regression analysis method and statistical fuzzy theory, four predictive models have been developed and it has been noted that the linear regression-based model shows prediction accuracy better than statistical fuzzy-based model in predicting percentages of schedule overrun and cost escalation.

Comparing usage between a Dynamic and a Static e-monograph Collection

2015 ◽  
Vol 34 (1) ◽  
pp. 17-26 ◽  
Author(s):  
Alain R Lamothe
Keyword(s):  
Regression Analysis ◽  
Quantitative Analysis ◽  
Linear Regression ◽  
Linear Relationship ◽  
Design Methodology ◽  
Linear Regression Analysis ◽  
Content Type ◽  
Dynamic Content ◽  
Simple Count ◽  
Strong Linear Relationship

Purpose – The purpose of this paper is to present the results from a quantitative analysis comparing usage levels between an e-monograph collection that has experienced continual growth and an e-monograph collection that has not experienced any recent growth whatsoever. The aim of the study was to determine quantitatively if e-monograph collections with dynamic content experience greater levels of usage compared to e-monograph collections that are static in both size and content. Design/methodology/approach – E-monograph data were separated into a Dynamic and a Static Collection. Usage for e-monographs belonging to the Dynamic Collection was compared to usage of e-monographs belonging to the Static Collection. The number of e-monographs was obtained by simple count. Additional statistics tracked include the number of viewings. A linear regression analysis was used to determine the strength of the linear relationship between collection size and usage. Findings – Results indicate that e-monograph collections that continue to grow in both size and content also continue to experience year-to-year increases in usage, whereas e-monograph collections that remain static in size and content experience a decline in usage. A linear regression analysis indicates the existence of a very strong linear relationship that exists between Dynamic Collection size and usage. A weaker linear relationship was calculated for Static Collection size and usage. Originality/value – This research is one of very few studies systematically and quantitatively comparing usage levels between e-monographs from growing collections to collections that have not had any new titles added recently.

Can the correlation among Dow 30 stocks predict market declines?

2014 ◽  
Vol 40 (1) ◽  
pp. 33-50 ◽  
Author(s):  
Jeffrey S. Jones ◽  
Brian Kincaid
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Time Horizon ◽  
Design Methodology ◽  
Linear Regression Analysis ◽  
Trading Strategy ◽  
Content Type ◽  
Dow Jones Industrial Average ◽  
Portfolio Managers ◽  
The Relationship

Purpose – This paper aims to examine the relationship between the correlation among the 30 stocks in the Dow Jones Industrial Average and overall returns on the broader market from 1950 to 2008. Design/methodology/approach – The paper computes historical correlation of the 30 stocks in the Dow Jones Industrial Average and future returns on the S&P 500 index over various windows and examines the relationship between these two items using linear regression analysis. In addition, the paper develops a trading strategy based on the results. Findings – The paper finds that increased equity correlation serves as a leading indicator of overall market decline. Regression analysis shows that equity correlations are a statistically significant predictor of market decline, as measured by subsequent returns of the S&P 500 index. The significance of the results increases as the time horizon of the calculation is increased. With the exception of the 1990s, the findings are robust within decades. Originality/value – This is the first study that examines the relationship between the historical correlations among the Dow 30 stocks with future returns for the S&P 500 index. In addition, the paper develops an original trading strategy that achieves superior returns to a buy-and-hold strategy. The paper's findings are useful to portfolio managers, practitioners, and policymakers.

Proposed models to measure the quality of highway projects

2017 ◽  
Vol 24 (6) ◽  
pp. 988-1003 ◽  
Author(s):  
Saad Abdel-Karim El-Hamrawy ◽  
Ahmed Ebrahim Abu El-Maaty ◽  
Ahmed Yousry Akal
Keyword(s):  
Regression Analysis ◽  
Quality Improvement ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Quality Measurement ◽  
Quality Performance ◽  
Highway Projects ◽  
Content Type ◽  
Factors Influencing

Purpose Quality measurement is the trigger for quality improvement. Indeed, what gets measured gets done. The real scope of quality improvement in construction projects is the difficulty and-maybe-lack of quality measurement methods. The purpose of this paper is to identify the factors influencing the quality performance of highway projects in Egypt. Furthermore, this paper also contributes to develop models to measure the quality level of these projects. Design/methodology/approach A literature review is conducted to compile a list of factors influencing the quality of highway projects. The resulting list of factors is subjected to a questionnaire survey which was sent to owners, consultants and contractors of highway projects in Egypt. Furthermore, linear regression analysis and statistical fuzzy approaches are adopted for modeling process. Findings The survey results show that availability of experienced staff in the owner’s and contractor’s teams during the project execution, asphalt quality and type used in the construction process, pavement is not designed according to the regional conditions, and contractor’s labors and equipment capability are among the most important factors influencing quality performance. Originality/value The main contribution of this study is to develop models to measure the quality of highway projects in Egypt. The first model is based on the linear regression analysis, while the second one is based on a statistical fuzzy approach which is a hybrid approach from the fuzzy logic and regression analysis. Validation of the models reveals that the linear regression and the statistical fuzzy models can accurately assess expected quality of any future highway projects at confidence levels 68.97 and 87.44 percent, respectively.

The prediction of multiaxial fatigue probabilistic stress–life curve by using fuzzy theory

2017 ◽  
Vol 31 (2) ◽  
pp. 199-206
Author(s):  
Bochuan Li ◽  
Chao Jiang ◽  
Xu Han ◽  
Yuan Li
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Fuzzy Theory ◽  
Linear Regression Analysis ◽  
Small Sample ◽  
Multiaxial Fatigue ◽  
Analysis Method ◽  
Fatigue Reliability ◽  
Fuzzy Linear Regression ◽  
Confidence Levels

AbstractThe fuzziness of the traditional multiaxial fatigue prediction model is discussed and the fuzzy theory is applied into fatigue reliability analysis. The fuzzy linear regression analysis method is used to determine the fuzzy coefficients in the multiaxial stress–life equation under a small sample condition, and the corresponding multiaxial fatigue probabilistic stress–life curve is calculated with different confidence levels.

The “Halalification” of tourism

2017 ◽  
Vol 8 (4) ◽  
pp. 558-577 ◽  
Author(s):  
Faiza Khan ◽  
Michelle Callanan
Keyword(s):  
Design Methodology ◽  
Secondary Data ◽  
Market Segment ◽  
Analysis Method ◽  
Review Of Literature ◽  
Primary Research ◽  
Content Type ◽  
Starting Point ◽  
Practical Implications

Purpose The purpose of this paper is to address the confusing use of terminology associated with tourism undertaken by Muslims and to identify key concerns associated with this type of tourism. Design/methodology/approach This is an exploratory study and adopts a critical review of literature following the evolutionary concept analysis method. Content analysis of popular UK media, UK-based tour operators’ websites and tourism strategies of destinations popular with Muslim tourists were conducted to examine the use of terminology. Findings There is no clear difference between the various terms (halal, Muslim friendly, Islamic, etc.) used. Overall, academia uses the term Islamic tourism, while the industry and media use various terms. Among destinations, however, there is no clear and consistent use of terminology. A key concern of Islamic tourism is the role of certification in assuring travellers and the lack of standardisation of halal certification. Research limitations/implications The paper is based on literature review and secondary data analysis. It lacks primary research. Practical implications This study highlights the need for consistent use of terminology across industry. Another implication is the issue surrounding halal certification of food and the importance of trust in the seller/service provide. Another trend that industry providers need to consider is the growth of the Muslim millennial traveller and the needs of this market segment. Originality/value The paper highlights the importance of studying the Muslim tourist market and provides a starting point for further research. It highlights several issues such as the need to develop a typology of Muslim tourists. Of particular interest is the concern whether halal values in danger of being commodified in the absence of a universal agreed criterion for halal certification.

Current CITE-ings from the popular and trade computing press: telework and telecommuting

2016 ◽  
Vol 33 (1) ◽  
pp. 21-22 ◽  
Author(s):  
Martin Kesselman
Keyword(s):  
Literature Review ◽  
Design Methodology ◽  
Virtual Reference ◽  
Content Type ◽  
Advantages And Disadvantages ◽  
Better Than

Purpose – This article examines Current CITE-ings from the Popular and Trade Computing Press, Telework and Telecommuting Design/methodology/approach – The methodology adopted is a literature review. Findings – Readily available technologies now allow librarians to perform most of their work-offsite. Some traditional building-based services such as reference, have been taken over by virtual reference and now even instruction offers options on par with or even better than classroombased questions such as a webinar that can be viewed and reviewed at any time or by having librarians embedded into various courseware packages. Researchlimitations/implications – Librarians no longer need be limited to a single library; groups of subject librarians can work together in the cloud to provide services to multiple universities. Originality/value – This article collates some articles from the non-library literature that mayprovide some ideas and review advantages and disadvantages for both the library and employee

Social media as a platform for information and support for coronavirus: analysis ofCOVID-19 Facebook groups

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hossein Motahari-Nezhad ◽  
Maryam Shekofteh ◽  
Maryam Andalib-Kondori
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Design Methodology ◽  
Information Needs ◽  
Descriptive Statistics ◽  
Public Knowledge ◽  
Care Providers ◽  
Analysis Method ◽  
Content Type ◽  
Content Analysis Method

Purpose This study aims to investigate the characteristics, as well as the purpose and posts of the COVID-19 Facebook groups. Design/methodology/approach A systematic search for COVID-19 Facebook groups was conducted on June 1, 2020. Characteristics of the groups were examined using descriptive statistics. Mann-Whitney test was used to study the differences between groups. The study of the most popular groups’ posts was also carried out using the content analysis method. Findings The groups had a combined membership of 2,729,061 users. A total of 147,885 posts were received. There were about approximately 60% public groups. A high percentage of the groups (86.5%) had descriptions. The results showed a significant relationship between the groups’ description status and the number of members (p-value = 0.016). The majority of COVID-19 Facebook groups (56%) were created to meet their members’ information needs. The highest number of studied posts were related to vaccination (35.2%), followed by curfew rules (19.6%) and symptoms (10.6%). Originality/value Translating these insights into policies and practices will put policymakers and health-care providers in a stronger position to make better use of Facebook groups to support and enhance public knowledge about COVID-19.

Research on thermal property and temperature rating prediction of Mongolian robe ensembles

2018 ◽  
Vol 30 (6) ◽  
pp. 747-756 ◽  
Author(s):  
Xiaofang Guo ◽  
Hui Shi ◽  
Chenglong Wei ◽  
Xiao Dong Chen
Keyword(s):  
Prediction Model ◽  
Thermal Property ◽  
Thermal Insulation ◽  
Design Methodology ◽  
Environmental Adaptation ◽  
Photographic Method ◽  
Mongolian Plateau ◽  
Content Type ◽  
Research Findings ◽  
Better Than

Purpose The purpose of this paper is to reveal the unique thermal property of Mongolian clothing from the current western clothing and explain their environmental adaptation to the climate of Mongolian plateau in China. Design/methodology/approach Thermal insulation and the temperature rating (TR) of eight Mongolian robe ensembles and two western clothing ensembles were investigated by manikin testing and wearing trials, respectively. The clothing area factor (fcl) of these Mongolian clothing was measured by photographic method and estimated equation from ISO 15831. Finally, the TR prediction model for Mongolian clothing was built and compared with current models for western clothing in ISO 7730 and for Tibetan clothing in previous article. Findings The results demonstrated that the total thermal insulation of Mongolian robe ensembles was much bigger than that of western clothing ensembles and ranged from 1.81clo to 3.11clo during the whole year. The fcl of the Mongolian clothing should be determined by photographic method because the differences between these two methods were much bigger from 0.6 to 13.9 percent; the TR prediction model for Mongolian robe ensembles is TR=25.57−7.13Icl, which revealed that the environmental adaptation of Mongolian clothing was much better than that of western clothing and similar to that of Tibetan clothing. Originality/value The research findings give a detailed information about the thermal property of China Mongolian clothing, and explain the environmental adaptation of Mongolian clothing to the cold and changing climate.

scholarly journals Pengaruh Komitmen Dan Kompetensi Terhadap Kinerja Karyawan Pada Karyawan PT. BPR Duta Bali

2020 ◽  
Vol 2 (1) ◽  
pp. 89-98
Author(s):  
Bagus Nyoman Kusuma Putra ◽  
I Wayan Gede Antok Setiawan Jodi ◽  
I Ketut Merta
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Organizational Commitment ◽  
Linear Regression ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Analysis Method ◽  
Positive Effect

Organizational commitment is a level or awareness of a person to recognize the extent of an organization and is bound to its goals so as to accelerate the organization to achieve its objectives. Competence is knowledge, skills, and abilities that are mastered by someone who has become a part of him, so he can do cognitive, affective, and psychomotor behaviors as well as possible. Employee performance is the result of work in quality and quantity achieved by someone in carrying out their functions in accordance with the responsibilities given to him.The purpose of this study is to determine the effect of commitment and competence on employee performance at PT. BPR Duta Bali. The sampling technique used is a saturated sampling technique. The sample in this study was 40 employees. The data analysis method used is multiple linear regression analysis with the SPSS program. The results of the study state that the commitment variable has a positive effect on employee performance. Competency variables do not affect employee performance. Commitment and competency variables simultaneously have a positive and significant effect on employee performance

scholarly journals Pengaruh Sanksi Pajak, Sosialisasi, Sistem Pajak, Tax Avoidance Terhadap Hambatan Pemungutan Pajak Pada Wajib Pajak Orang Pribadi Yang Melakukan Pekerjaan Bebas Di Kabupaten Jember

2021 ◽  
Vol 1 (2) ◽  
pp. 80-99
Author(s):  
Salma Watun ◽  
Suwignyo Widagdo ◽  
Nanda Widaninggar
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Research Method ◽  
Linear Regression Analysis ◽  
Tax Avoidance ◽  
Multiple Linear Regression Analysis ◽  
Analysis Method ◽  
Tax Collection ◽  
Tax System

This study aims to analyze the effect of tax sanctions, tax socialization, tax system, and tax avoidance on the barriers to the tax collection. This research method was quantitative. The population in this study are all individual taxpayers who do free work in Jember Regency. By accidental sampling, the samples are fifty respondents of Individual Taxpayers who do free work. Data collection using a questionnaire, and the data analysis method uses multiple linear regression analysis. The results showed that tax sanctions, tax system, tax avoidance had a significant effect on the obstacles to tax collection, while tax socialization has no significant effect on barriers to tax collection. Since the tax socialization had no impact, fiscus should use the strategy to avoid the barriers of tax collection by using account representative assistance in active counseling to the taxpayer.

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