Study on the factors of delay in construction works

The delay in civil construction works is observed globally and affects the economy of countries. Therefore, identifying the causes of delays is of paramount importance to minimize their consequences. This paper aims at identifying the causes of delay in construction works and their analysis and existing correlations through statistical factor analysis. The research methodology included a Systematic Literature Review (SLR), a Survey Research through questionnaires and interviews was conducted, as well as the identification of the main causes of delay through the Relative Importance Index (RIL) and the ABC Curve. Finally, factor analysis of the causes of delay was performed, not limiting only to their identification. The results showed that the 12 identified causes are correlated to 4 delay factors, which account for 69.18% of the sample variance: supply management (21.41%); workforce management (20,79%); project management (17.64%) and management of climatic conditions (9.34%). It is concluded hereby that the delay factors mentioned herein can be considered management deficiencies in the projects and that the research has expanded the knowledge on construction delays, thus contributing to the frontier of knowledge to mitigate this problem in several countries, especially developing ones.

AndroidTrack: An Investigation of Using Social Networks’ Applications in Android Platforms

In this paper, time spent and the repetition of using the Social Network Sites (SNS) in Android applications are investigated. In this approach, we seek to raise the awareness and limit, but not eliminate the repeated uses of SNS, by introducing AndroidTrack. This AndroidTrack is an android application that was designed to monitor and apply valid experimental studies in order to improve the impacts of social media on Iraqi users. Data generated from the app were aggregated and updated periodically at Google Firebase Real-time Database. The statistical factor analysis (FA) was presented as a result of the user’s interactions.

An analysis of building construction waste in Badung, Bali

Various activities in construction will produce waste, as a solid, liquid waste, or gas. Construction waste defines as a large number of an unused material from the construction process, such as overplus, broken, faulty materials, and can not be used, which disrupts the project’s activities, financial losses, and environmental pollution. Handling the construction waste must involve all parties’ commitment, good management, and a good understanding of the problem causing factors. As yet, waste management within the construction industry has been widely investigated by researchers. This research aims to identify and analysis the important causes of building construction waste, and the frequent activities, manage this waste in Badung, Bali, Indonesia. Data were collected through questionnaire survey and interviews with fifty contractors who has been handling building in 2014 to 2018. An analysis used is statistical factor analysis with SPSS 17, and scoring methods. The findings revealed that important causative factor of construction waste such as lack of skill and knowledge of the workforce, poor material handling, inferior material quality, and unappropriate work methods. The most frequent activity performed in existing projects are strict and regular monitoring of workers, material handling procedure and clear storage, an accurate estimate material to avoid overplus, good handling storage and reachable, well organized material delivery time.

CAR SALES: INVESTIGATION INTO FACTORS DETERMINING CONSUMER BEHAVIOR / PREKYBA LENGVAISIAIS AUTOMOBILIAIS: VARTOTOJŲ ELGSENĄ LEMIANČIŲ VEIKSNIŲ TYRIMAS

The article examines customer behaviour in general and discusses factors determining customer behaviour in car industry. The paper describes a concept of consumer behaviour and the importance of factors influencing the situation. Empirical study about factors determining car industry in consumer-made decisions is carried out. In addition, statistical factor analysis is performed. The key sets of factors helping the user with choosing a new car are iden­tified and analysed at the level of the groups of factors (factor). The conducted analysis shows that car price, ergonomics, image, dynamic and user-friendliness as well as environmental groups are the main points that assist in buying a new car. Santrauka Straipsnyje nagrinėjama vartotojų elgsenos ir veiksnių, lemiančių jų sprendimus lengvųjų automobilių sektoriuje, problema. Aprašyta vartotojų elgsenos samprata ir veiksnių reikšmė formuojant vartotojų elgesį. Atliktas veiksnių, lemian­čių lengvųjų automobilių sektoriaus vartotojų sprendimus, empirinis tyrimas. Atlikta faktorinė statistinių duomenų analizė. Remiantis empirinio tyrimo, skirto nustatyti svarbiausias veiksnių grupes, lemiančias vartotojo apsisprendimą pirkti naują automobilį, veiksnių grupių (faktorinės) analizės rezultatais, galima teigti, kad automobilio kaina, ergonomiškumas, įvaizdis, dinamika ir draugiškumas vartotojui bei aplinkai yra pagrindinės veiksnių grupės, lemiančios vartotojo apsisprendimą pirkti naują automobilį.