General Introduction

The construction industry is one of the most important sectors in the economy of each country. However, it has been noted with a multiplicity of problems that have negative impacts on efficiency, productivity and quality. While these problems are being tackled in the developed countries using advanced decision support systems, knowledge of such systems applied to construction projects in developing countries is sketchy. Being a general introductory chapter, this chapter will sign-post everything covered in this book.

1989 ◽  
Vol 89 (7) ◽  
pp. 21-26 ◽  
Author(s):  
Ming‐te Lu ◽  
Ching‐cha Hsieh ◽  
Chien‐chun Pan

Author(s):  
L. Lomovskykh ◽  
M. Ponomarova ◽  
L. Chip ◽  
E. Krivosheya ◽  
O. Lisova

Abstract. The analysis of the activity of agricultural enterprises indicated its inherent high degree of risk. Unlike other industries, a significant share of integrated risk for agriculture is weather risk. It is this risk that necessitates the diversification of agricultural marketing into three forms: with a deficit of the main commodity product of the agricultural enterprise in the market; with the balance of sales and supply and with the market surplus of marketable products. It is pointed out that in order to reduce the risk, a significant number of medium-sized producers rely on multi-product production and management has to simultaneously make use of all the intended forms of marketing. It has been established that the marketing activities of agricultural enterprises for a number of reasons: established tradition, lack of financial resources, etc. are often sporadic, fragmented, not a systematic, purposeful activity with defined goals, well considered tools, adequate funding and resources. Therefore, a number of specific steps have been proposed for the implementation of effective agribusiness: changing the traditional way of thinking; formation of a holistic systematic approach to marketing policy as a single coordinated complex of management and marketing; thorough study of the market of products manufactured by the agricultural enterprise, and the formation of the forecast for the next season. To strengthen marketing activities and conduct effective agribusiness, algorithms have been developed to gain a competitive advantage. It is shown that agricultural marketing today is becoming a broader field of activity than providing pure production and marketing using the main levers — price, product, sales and communication. It must best meet the needs and requirements of consumers, in particular, by shifting the main emphasis from price and sales aspects to communication. This is one of the main ways to ensure the function of agribusiness efficiency. It is proposed to use the experience of developed countries and more widely employ modern information technologies of management and marketing, in particular, decision support systems and analysis of risks and forecasts for the next period. The following ways are proposed for the use of modern decision support systems, risk analysis and forecasts in Ukrainian agricultural management and marketing: cooperation, use of these information systems on the basis of lease or, less relevant, expert risk assessment. A mathematical method of taking into account the degree of risk in the business processes of agricultural enterprises is proposed. Keywords: marketing, management, management, manager, agricultural management, agribusiness, information technology marketing. JEL Classification M11, M31, Q13 Formulas: 1; fig.: 3; tabl.: 0; bibl.: 22.


2020 ◽  
pp. 264-303
Author(s):  
Chrispin Pettang ◽  
Marcelline Blanche Manjia ◽  
F. Henry Abanda

It is now well-established that the industry faced enormous challenges. To overcome these challenges and hence improve efficiency and productivity requires a deeper understanding of the challenges. In this chapter, the main challenges related to construction material and equipment, man-power and management will be examined. The consequences of these challenges which often lead cost overruns and delays will be discussed. The aim of this chapter is to provide a deeper understanding of these challenges so as to inform the choice of the decision support systems to be used in the subsequent chapters.


2020 ◽  
Vol 10 (2) ◽  
pp. 678 ◽  
Author(s):  
Shuai Zhang ◽  
Dajian Zhu ◽  
Jiaping Zhang ◽  
Lilian Li

In the “full world” and Anthropocene, global ecological consumption is beyond natural capital’s regenerative and absorptive abilities, and ecological consumption of humanity has to be reduced to have an ecologically sustainable future. To achieve the goal of ecological sustainability, influencing factors that could reduce ecological consumption need to be explored. Based on three panel datasets for the time period 1996–2015, this paper estimates the impacts of urbanization, renewable energy consumption, service industries, and internet usage on ecological consumption for all 90 sample countries, the 42 developed countries, and the 48 developing countries. Education and income are taken as control variables in the panel regressions. As a consumption-side indicator, the ecological footprint is selected to measure ecological consumption. The estimations find that (1) urbanization has negative impacts for all sample countries and the developed countries, and it is insignificant for the developing countries, (2) renewable energy consumption and service industries have negative impacts for all of the three samples, and (3) internet usage has lagged negative impacts for all sample countries, and it is an independent and significant force of reducing ecological consumption in the developing countries rather than the developed countries. It is found that there is a positive linear relationship, an inversed U-shaped relationship, and a U-shaped relationship between ecological consumption and income in all sample countries, the developed countries, and the developing countries, respectively. The estimated results provide guidance for evidence-based policymaking on reducing ecological consumption.


Buildings ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 108 ◽  
Author(s):  
Muhammad Rashid Minhas ◽  
Vidyasagar Potdar

In recent years, the use of decision support systems for selecting sustainable construction materials in the building and commercial construction projects has received a great deal of attention. This paper reports an in-depth and systematic bibliometric analysis of the literature using Decision Support Systems (DSSs) for its construction, based on the papers published during the period from 2000 to 2016. The data were collected from two major databases, Web of Science (WoS) and Scopus, which included 2185 and 3233 peer reviewed articles, respectively. The analysis includes a general bibliometric analysis (publications output, country-wise research output, authorship, and collaboration patterns of these published articles). It also includes a citation analysis (keywords, most cited keywords, organizations, most cited articles, and average citations per article) and a network analysis (authors and countries). Overall, this study provides bibliometric insights and future research directions for researchers and practitioners who use DSSs.


In Chapter 2, an overview of construction practices in developing countries was presented. It is now well-established that the industry faced enormous challenges. To overcome these challenges and hence improve efficiency and productivity requires a deeper understanding of the challenges. In this chapter, the main challenges related to construction material and equipment, man-power and management will be examined. The consequences of these challenges which often lead cost overruns and delays will be discussed. The aim of this chapter is to provide a deeper understanding of these challenges so as to inform the choice of the decision support systems to be used in the subsequent chapters.


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