scholarly journals Importance of Labour Efficiencyin Dry Dock Construction

2019 ◽  
Vol 8 (4) ◽  
pp. 5737-5741 ◽  
Keyword(s):  
Labor Productivity ◽  
Questionnaire Survey ◽  
Labour Productivity ◽  
Research Paper ◽  
Relative Importance ◽  
Construction Site ◽  
Factors Affecting ◽  
Survey Results ◽  
Dry Dock ◽  
Index Of Relative Importance

This research paper aims to define and evaluate factors affecting labor productivity in the construction site.A formal questionnaire survey was used as the tool for collecting data from the workforce from dry dock construction. The data collected were analyzed using the index of relative importance (RII) to rank the variables based on their relative importance. Suitable recommendations were made to working pattern considering the survey results and this showed an increment in the labour productivity. In this study the responses was collected from the thirty professionals working on the dry dock construction site. Based on the RII value the responses were analyzed and top ten factors were selected that influences the labor productivity the most. After implementing suggestive measures in four teams, productivity was improved and as a result baseline productivity for all four teams was almost around 350 kg/man. Improving productivity can help to reduce time and cost at the construction field.

scholarly journals Identification and analysis of factors affecting labour productivity in Iraq

2018 ◽  
Vol 162 ◽  
pp. 02032 ◽  
Author(s):  
Tareq Khaleel ◽  
Yasser Nassar
Keyword(s):  
Labor Productivity ◽  
Construction Projects ◽  
Arab World ◽  
Labour Productivity ◽  
Relative Importance ◽  
Construction Sites ◽  
Factors Affecting ◽  
Importance Index ◽  
Leadership Motivation ◽  
Major Factors

Productivity is a very important element in the estimation process in construction management. The objective of this research is to identify and analyze the factors which affect labor productivity in construction projects. In this research, 42 effective factors were collected from site survey, interview with engineers and experts, and previous research in the Arab world. These factors are grouped into Nine categories “Workforce, Leadership, Motivation, Supervisors, Safety, Project, Time, Material, and External”. A survey questionnaire of 70 respondents was distributed among different experts. A statistical analysis was done using SPSS and EXCEL packages. The Relative Importance Index was used to find out the most significant factors affecting the labor productivity in construction sites. The results accomplished from the survey revealed that the major factors negatively affect the labor productivity (ranked from the worst factor with Relative Importance Index values, respectively) namely, Availability Material (88.571%), Climate status “Weather” (88%), Religious occasions (86.29%), Number of working groups (86%), Ganger experience (85.714%), Workforce surveillance (84.857%), Ganger Age (84%), working at height (82%), Drawings and specifications alteration during execution (81.69%), and Sequence of floor (80.571%). Based upon these findings, this can help the construction professionals to improve the productivity and project performance in Iraq.

scholarly journals Factors affecting labour productivity of construction worker on construction site: A case of Hanoi

2018 ◽  
Vol 12 (5) ◽  
pp. 127-138 ◽  
Author(s):  
Nguyen Van Tam ◽  
Nguyen Lien Huong ◽  
Nguyen Bao Ngoc
Keyword(s):  
Construction Industry ◽  
National Economy ◽  
Labour Productivity ◽  
Construction Workers ◽  
Construction Site ◽  
Construction Worker ◽  
Factors Affecting ◽  
Construction Firms ◽  
To Come ◽  
Productivity Factors

Labour productivity of Vietnamese economy in general and of Vietnamese construction industry in particular is low in comparison with other countries. Boosting labour productivity is becoming an urgency and is attracting much attention from both domestic and foreign researchers. This paper focuses on a series of factors affecting labour productivity on construction site in Hanoi. The research aims to evaluate and rate the extent of impact of each factor to labour productivity. By referring to the outcomes of this study, Vietnamese construction contractors will be able to come up with workable solutions which will contribute towards a better performance of construction workers. On that basis, the productivity of construction firms and national economy will be improved correspondingly. Keywords: productivity; labour productivity; factors affecting; construction worker. 

scholarly journals Applying total interpretive structural modeling to study factors affecting construction labour productivity

2014 ◽  
Vol 14 (1) ◽  
pp. 20-31 ◽  
Author(s):  
Sayali Shrikrishna Sandbhor ◽  
Rohan P. Botre
Keyword(s):  
Factor Analysis ◽  
Labour Productivity ◽  
Structural Modeling ◽  
Construction Site ◽  
Construction Sector ◽  
Interpretive Structural Modeling ◽  
Factors Affecting ◽  
Major Attention ◽  
Negative Factors

Construction sector has always been dependent on manpower. Most of the activities carried out on any construction site are labour intensive. Since productivity of any project depends directly on productivity of labour, it is a prime responsibility of the employer to enhance labour productivity. Measures to improve the same depend on analysis of positive and negative factors affecting productivity. Major attention should be given to factors that decrease the productivity of labour. Factor analysis thus is an integral part of any study aiming to improve productivity.  Interpretive structural modeling is a methodology for identifying and summarizing relationships among factors which define an issue or problem. It provides a means to arrange the factors in an order as per their complexity. This study attempts to use the latest version of interpretive structural modeling i.e. total interpretive structural modeling to analyze factors negatively affecting construction labour productivity. It establishes interpretive relationship among these factors facilitating improvement in the overall productivity of construction site.

EVALUATION OF FACTORS AFFECTING LABOUR PRODUCTIVITY IN CONSTRUCTION INDUSTRY: A CASE STUDY

2015 ◽  
Vol 77 (12) ◽  
Author(s):  
Nasiru Zakari Muhammad ◽  
Ashiru Sani ◽  
Ahmad Muhammad ◽  
Saeed Balubaid ◽  
Egba Ernest Ituma ◽  
...  
Keyword(s):  
Labor Productivity ◽  
Labour Productivity ◽  
Factors Affecting ◽  
Management Level ◽  
Local Staff ◽  
Construction Firms ◽  
Communication Problems ◽  
The Mean ◽  
Traditional Construction ◽  
Significant Factors

Construction labor productivity is critical to the success of the industry. It is thus, important for the estimation and scheduling of construction project. However, most of the traditional construction firms have no accurate data on labor productivity. Therefore, this paper aims to identify through literature review those factors that affect labor production rate and evaluate their effects on the performance of the industry. The research made use of the 44 returned questionnaires from the contractors firms. Statistical package for social sciences (SPSS) to compute the mean score for each factor. These factors were subsequently ranked based on the mean score value.The results of the analysis has shown that, based on the management level factors “lack of motivation and incentive, lack of equipment, disruption of power and water supply and inspection delay” are the most significant factors affecting labour productivity each with mean score values of  0.79, 0.44, 0.38 and 0.35 respectively. Also based on the site level factors “lack of adequate skillful worker with specific scope of work” at site, delay in material supply, weather, access to the site, crew size and communication problems between foreign and local staff are the top six most significant factors affecting labour productivity each with the mean score values of 0.77, 0.75, 0.75, 0.66, 0.61 and 0.53 respectively. Similarly, all the respondents seem to have agreed in their perception on the severity of factors affecting labour productivity.

scholarly journals Comparative Analysis of Various Approaches to Calculating Labour Productivity

2020 ◽  
pp. 117-131
Author(s):  
Nataliia N. Volkova ◽  
Evelyna I. Romanyuk ◽  
Alexander A. Frenkel
Keyword(s):  
Labor Productivity ◽  
Labour Productivity ◽  
Productivity Index ◽  
Factors Affecting ◽  
Institutional Conditions ◽  
Managerial Decisions ◽  
Regional Labor ◽  
National Organizations ◽  
Effective Assessment ◽  
Regions Of Russia

The article is devoted to the problem of analyzing the methodological foundations for assessing the dynamics of labour productivity in the regions of Russia in the context of the digital transformation of the economy. The identification of differences in the level of labour productivity and employment and the influencing factors is a necessary requirement for building a competent regional socio-economic policy in the new institutional conditions. Calculations of labour productivity are carried out by various international and national organizations that use a variety of methods for measuring this indicator. The presence of a sufficiently large number of methods for measuring productivity leads to the fact that each one gives its own result and different dynamics. The authors set the task to consider the existing methodological approaches to calculating labor productivity and to analyze how much they affect the results. The authors statistically tested the hypothesis of heterogeneity of ratings obtained by various methods. The calculations were made on the basis of data from Rosstat for the regions of Russia for the period from 2013 to 2018. To study the uniformity of the series, various statistical criteria were used. The analysis showed that in all years of the period under review the samples are heterogeneous. Consequently, the development of managerial decisions substantially depends on the methodology used to calculate the labour productivity index. The authors concluded that it is necessary to build an index of labour productivity based on regression dependencies on indicators reflecting the main factors affecting regional labor productivity. It helps to get a more effective assessment of regional differences in its level and dynamics. This index should be built for each region taking into account its industry specifics and the level of development of new digital technologies.

Customer’s satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank – An Giang Branch

2020 ◽  
Vol 4 (3) ◽  
pp. First
Author(s):  
Tran Minh Hieu ◽  
Nguyen Duong Ngoc Mai Chi
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Test Method ◽  
Quality Of Services ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Alpha Reliability ◽  
Survey Results ◽  
Development Orientation

This study applied SERVQUAL scale of Parasuraman et al to measure factors affecting customer satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank - An Giang Branch (Techcombank An Giang). The study was conducted to survey 207 customers who have been using the service at Techcombank An Giang. The survey results were analyzed by the Cronbach's Alpha reliability test method, then used Exploratory factor analysis (EFA) to verify and evaluate the scale of service quality. The results of the regression analysis show that customer's satisfaction about service quality at Techcombank An Giang includes four factors: The factor with the highest level is the Empathy with Beta = 0.253, the second of factor is the Responsibility with Beta = 0.248, ranked third in the influence level is the Tangible with Beta = 0.235, and the lowest impact level is the Reliability with Beta = 0.144. The research also uses statistical methods to describe and test the differences of demographic factors with customer's satisfactionon service quality.The analysis results show that there is no difference between customer's satisfaction on service quality and factors such as gender, age, income, number of transaction banks, regular transaction banks, and time to use the service at Techcombank An Giang. Through the research results, the author would like to propose some ideas to improve the quality of services, thereby attracting new customers and importantly, keeping traditional customers because the development orientation of Techcombank is to take care of old customers to cross sell other products of the bank. The Stud results offer a basis for the branch to identify the factors influencing customer satisfaction on their service quality, thereby having an appropriate strategy to improve customer satisfaction.

Implementasi Manajemen Pengetahuan pada Perguruan Tinggi Swasta di Kabupaten Garut

2019 ◽  
Vol 22 (2) ◽  
Author(s):  
Hendarsita Amartiwi
Keyword(s):  
Knowledge Management ◽  
Private Higher Education ◽  
Survey Method ◽  
Unit Of Analysis ◽  
Factors Affecting ◽  
Confirmatory Factor ◽  
Research Findings ◽  
Survey Results ◽  
Use Of Knowledge ◽  
Descriptive Statistical Analysis

This study scrutinize the factors affecting knowledge management, consisting of acquisition of knowledge, storage of knowledge, distribution of knowledge and use of knowledge, at Private Higher Education Institutions in Garut Regency.  The purpose of this study is to analyze the factors shaping the knowledge management.  By using a survey method with a quantitative approach, the unit of analysis of this study is lecturer at 14 Private Universities in Garut Regency, with 229 lecturers as respondents. Data is obtained from survey results through questionnaires distributed directly to lecturers. Data is processed using descriptive statistical analysis and Confirmatory Factor Analysis (CFA). The research findings showed that the use of knowledge and the storage of knowledge are the most powerful factors in knowledge management, followed by the acquisition of knowledge, and distribution of knowledge.

Consumer Online Buying Decisions: A Critical Appraisal of Literature

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Amit Kishore Sinha ◽  
Gyanendra B. S. Johri ◽  
Shanti Rai
Keyword(s):  
Research Paper ◽  
Business Environment ◽  
Buying Behavior ◽  
Related Factors ◽  
Factors Affecting ◽  
Goods And Services ◽  
Online Stores ◽  
Online Buying ◽  
Indian Cities ◽  
Buying Decisions

Since last two decades buying of goods and services from online stores using Internet started off. But players of this industry could reach to the general public residing in second and third category Indian cities in recent past only. Now companies are eagerly interested in understanding the factors affecting Indian consumers so that their needs and wants can be understood and served profitably. This research paper is an attempt to critically evaluate those factors which affect consumer buying behavior in Indian Internet based business environment. For the purpose of coverage of topic researcher has classified the literature under three categories which are Literature related to vendor related factors, Literature related to consumer related factors and Literature related to other factors. Vendor related factors include those factors which are primarily controlled by the companies that are engaged in selling their goods and services on internet along with their intermediaries through which such sales take place. Consumer related factors have been bifurcated under two heading that are consumer demographic factors and consumer psychographic factors. Besides this there are several other factors which may affect consumer’s buying decisions and they are classified as other factors. This research paper also tries to identify the gaps (if any) in the available literature of the factors affecting consumer online buying decisions.

scholarly journals Feedback of patient survey on medication improves the management of polypharmacy: a pilot trial

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yuta Hirose ◽  
Kiyoshi Shikino ◽  
Yoshiyuki Ohira ◽  
Sumihide Matsuoka ◽  
Chihiro Mikami ◽  
...  
Keyword(s):  
Health Professionals ◽  
Questionnaire Survey ◽  
Pilot Trial ◽  
Patient Survey ◽  
Contributing Factors ◽  
Chi Square ◽  
Oral Medications ◽  
Medical Institutions ◽  
Chi Square Test ◽  
Survey Results

Abstract Background Patient awareness surveys on polypharmacy have been reported previously, but no previous study has examined the effects of sending feedback to health professionals on reducing medication use. Our study aimed to conduct a patient survey to examine factors contributing to polypharmacy, feedback the results to health professionals, and analyze the resulting changes in the number of polypharmacy patients and prescribed medications. Methods After conducting a questionnaire survey of patients in Study 1, we provided its results to the healthcare professionals, and then surveyed the number of polypharmacy patients and oral medications using a before-after comparative study design in Study 2. In Study 1, we examined polypharmacy and its contributing factors by performing logistic regression analysis. In Study 2, we performed a t-test and a chi-square test. Results In the questionnaire survey, significant differences were found in the following 3 items: age (odds ratio (OR) = 3.14; 95% confidence interval (CI) = 2.01–4.91), number of medical institutions (OR = 2.34; 95%CI = 1.50–3.64), and patients’ difficulty with asking their doctors to deprescribe their medications (OR = 2.21; 95%CI = 1.25–3.90). After the feedback, the number of polypharmacy patients decreased from 175 to 159 individuals and the mean number of prescribed medications per patient decreased from 8.2 to 7.7 (p < 0.001, respectively). Conclusions Providing feedback to health professionals on polypharmacy survey results may lead to a decrease in the number of polypharmacy patients. Factors contributing to polypharmacy included age (75 years or older), the number of medical institutions (2 or more institutions), and patients’ difficulty with asking their physicians to deprescribe their medications. Feedback to health professionals reduced the percentage of polypharmacy patients and the number of prescribed medications. Trial registration UMIN. Registered 21 June 2020 - Retrospectively registered, https://www.umin.ac.jp/ctr/index-j.htm

scholarly journals Socioeconomic Risks and Their Impacts on Ecological River Health in South Korea: An Application of the Analytic Hierarchy Process

2021 ◽  
Vol 13 (11) ◽  
pp. 6287
Author(s):  
Suyeon Kim ◽  
Sang-Woo Lee ◽  
Se-Rin Park ◽  
Yeeun Shin ◽  
Kyungjin An
Keyword(s):  
South Korea ◽  
Socioeconomic Factors ◽  
Ecosystem Health ◽  
Relative Importance ◽  
River Ecosystem ◽  
River Health ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Hierarchy Process

It is imperative to develop a methodology to identify river impairment sources, particularly the relative impact of socioeconomic sources, to enhance the efficiency of various river restoration schemes and policies and to have an internal diagnosis system in place. This study, therefore, aims to identify and analyze the relative importance of the socioeconomic factors affecting river ecosystem impairment in South Korea. To achieve this goal, we applied the Analytical Hierarchy Process (AHP) to evaluate expert judgement of the relative importance of different socioeconomic factors influencing river ecosystem impairment. Based on a list of socioeconomic factors influencing stream health, an AHP questionnaire was prepared and administered to experts in aquatic ecology. Our analysis reveals that secondary industries form the most significant source of stream ecosystem impairment. Moreover, the most critical socioeconomic factors affecting stream impairment are direct inflow pollution, policy implementation, and industrial wastewater. The results also suggest that the AHP is a rapid and robust approach to assessing the relative importance of different socioeconomic factors that affect river ecosystem health. The results can be used to assist decision makers in focusing on actions to improve river ecosystem health.

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