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Lean construction (LC) consists of very effective techniques; however, its implementation varies considerably from one industry to another. Although numerous lean initiatives do exist in the construction industry, the research topic related to LC implementation is still unexplored due to the scarcity of validated assessment frameworks. This study aims to provide the first attempt in developing a structural model for successful LC implementation.

This study developed a Lean construction model (LCM) by critically reviewing seven previous LC frameworks from different countries, defining 18 subprinciples grouped into 6 major principles and formulating testable hypotheses. The questionnaire was pre-tested with 12 construction management experts and revised by 4 specialized academics. A pilot study with 20 construction units enhanced content reliability. Data from 307 Moroccan construction companies were collected to develop a measurement model. SPSS V. 26 was used for Exploratory Factor Analysis, followed by confirmatory factor analysis using AMOS version 23. Finally, a structural equation model statistically assessed each construct's contribution to the success of LC implementation.

This work led to the development of an original LCM based on valid and reliable LC constructs, consisting of 18 measurement items grouped into 6 LC principles: Process Transparency, People involvement, Waste elimination, Planning and Continuous improvement, Client Focus and Material/information flow and pull. According to the structural model, LC implementation success is positively influenced by Planning and Scheduling/continuous improvement (β = 0.930), followed by Elimination of waste (β = 0.896). Process transparency ranks third (β = 0.858). The study demonstrates that all these factors are mutually complementary, highlighting a positive relationship between LC implementation success and the holistic application of all LC principles.

To the best of the authors’ knowledge, this study is the first attempt to develop a statistically proven model of LC based on structural equation modelling analysis, which is promising for stimulating construction practitioners and researchers for more empirical studies in different countries to obtain a more accurate reflection of LC implementation. Moreover, the paper proposes recommendations to help policymakers, academics and practitioners anticipate the key success drivers for more successful LC implementation.

This paper investigates the impact of individualistic (health) and collectivistic considerations (environmental) on the purchasing intention of organic foods.

The study collected 391 responses from service holders of diversified tiers from Bangladesh. It considers two-step structural equation model (SEM), as well as the Ordinal Logistic regression to analyze the fact.

SEM analysis explores that, both the individualistic and collectivistic considerations affect purchasing intention of organic foods. The regression result finds that income, the number of earning members, occupation, age and BMI are influential determinants of weekly purchasing frequency of organic foods. This research suggests, along with consumer's economic solvency an organized market with dissemination of health and environmental benefits of organic foods acts as a catalyst for purchasing intention of those products.

However, there is still scope of investigating intention-behavior gap between the actual purchasing behavior and purchasing intention, which is not addressed in this study.

To understand the perception of comparatively educated and solvent people toward purchasing intention of organic foods, this research is one of the pioneering attempts in the context of an unorganized organic food market.