Environmental Scanning Approach to Assess Innovation and Technology Transfer Performance of Construction Companies

Abstract

In construction industry, environmental scanning approach is crucial for companies in strategy development since it informs of the potentials and the barriers of which occurrence is out of control due to its dynamic nature. Nowadays, innovation and technology transfer strategies of construction companies are governed by the changing environmental facts and competitiveness caused by the innovation based demands. This study investigates the effects of environmental factors on the innovation and technology transfer performance of companies by categorizing the factors as either business or general. For this purpose, Structural Equation Modelling (SEM) was used as the analysis method that would enable companies to see those effects were developed. The analysis of the results indicated that general environmental factors and business environmental factors had sequential effects on innovation and technology transfer performance of construction companies highlighting new entrepreneurs in the market and macroeconomic fluctuations.

Exploring Pro-Environmental Behaviour in FMCG Supply Chain

“…Based on the analysed theoretical views on proenvironmental behaviour in the FMCG supply chains, a basic research objective has been defined to determine the existence of a statistically significant correlation between pro-environmental behaviour and green indicators [29][30][31][32][33][34][35][36][37][38] such as reverse logistics, packaging waste management, energy consumption, ecological awareness, acting in compliance with green moral codes, compliances with legal and statutory environmental standards, interior hygiene and ecological infrastructure. As different intensity of significance and correlation with proenvironmental behaviour can be expected for these indicators, the set research goal was operationalized through the first group of research hypotheses: H 1(a)reverse logistics gives statistically significant prediction on pro-environmental behaviour in the FMCG supply chain of the Western Balkans region, H 1(b) -packaging waste management gives statistically significant prediction on pro-environmental behaviour in the FMCG supply chain of the Western Balkans region, H 1(c) -energy consumption offers statistically significant prediction on proenvironmental behaviour in the FMCG supply chain of the Western Balkans region, H 1(d) -ecological awareness gives statistically significant prediction on pro-environmental behaviour in the FMCG supply chain of the Western Balkans region, H 1(e) -green moral codes offer statistically significant prediction on pro-environmental behaviour in the FMCG supply chain of the Western Balkans region, H 1(a) -legal and statutory ecological norms also provide statistically significant prediction on pro-environmental behaviour in the FMCG supply chain of the Western Balkans region, H 1(g) -hygiene provides statistically significant prediction on pro-environmental behaviour in the FMCG supply chain of the Western Balkans region, H 1(h) -ecological infrastructure gives statistically significant prediction on pro-environmental behaviour in the FMCG supply chain of the Western Balkans region.…”

“…Academic research [31,[38][39][40] indicates that there are differences among supply chain participants, especially regarding the acceptance of logistics concepts, modern technology, consumer relations, social responsibility, environmental relations, etc. In this regard, in line with the set research goal, as a separate research hypothesis, the existence of differences between the predictions of proenvironmental behaviour of employees based on green indicators in the manufacturing, transport, wholesale and retail sectors of fast-moving consumer goods will be tested.…”

“…Testing the hypotheses involved the inclusion of a large number of variables in the research. Based on related studies, the core of business such as manufacturing, transportation, wholesale and retail [31,[38][39][40] and employee demographics such as gender, income, education level, subjective sense of well-being, and country of origin [22], were selected as the predictor grouping variables. The dependent variable is the pro-environmental behaviour in the supply chains of the Western Balkans region, which was evaluated on the basis of the influence of independent variables of the interval type of measurement.…”