Improving consumer awareness for reducing food waste using partial least squares structural equation modelling (PLS-SEM) approach
Bibliographic Data
| ID | 22355490 |
|---|---|
| Authors | Ismat Jahan (0000-0002-0384-1628, Ahsanullah University of Science and Technology), Kazi Tamzid Kamal (Ahsanullah University of Science and Technology), Prattusha Bhattacharjee (0000-0003-0306-0343, Bangladesh University of Engineering and Technology), Hasin Md Muhtasim Taqi (0000-0002-5110-0330, Australian Defence Force Academy), Syed Mithun Ali (0000-0002-4302-5991, Bangladesh University of Engineering and Technology, corresponding author) |
| Year | 2025 |
| Volume | 17 |
| Pages | 100282 |
| Publication date | 2025-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cleaner and Responsible Consumption (JOURNAL) |
| Journal identifiers | ISSN: 2666-7843 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.clrc.2025.100282 |
| OpenAlex | W4410278377 |
| Language | EN |
| Citations received | 1 |
| References cited | 57 |
Food waste (FW) has become a major concern in the global era, which is affecting the societal environment and economy consistently. Rising population and urbanization have increased food production and consumption, especially in developing countries like Bangladesh. Due to limited recycling and disposal choices, FW is composted, landfilled, and fed to animals, creating a dirty and smelly environment. Such a situation needs elevated awareness and attention among consumers. Following the necessity, this study investigates the impact of consumer awareness on reducing FW in households and restaurants. Here, the partial least square structural equation modelling (PLS-SEM) was utilized to predict the factors that affect consumers behaviors relative to FW at household and restaurant levels. Two PLS-SEM were estimated, a normative and an explicative model. In the normative model, three multidimensional attitude components (affective, cognitive, and conative) were classified among the factors that influence food waste behaviour. The conative component was found to be the most influential. In the explicative model, improper meal storage emerged as the factor with the highest correlation with the generation of FW. The implication of this research encourages stakeholders to share research findings to work toward a sustainable and food-secure future
Econometrics · Food waste · Partial least squares regression · Statistics · Structural equation modeling · Waste management · Chemistry · Computer Science · Engineering · Environmental Science · Food Waste Reduction and Sustainability · Healthcare and Environmental Waste Management · Mathematics · Municipal Solid Waste Management · Food Science
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |