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End‐of‐life (EOL) products have become a major environmental issue among countries and manufacturers. This is due to the growing number of EOL products and their hazardous contents. Many collection strategies and pilot projects have been conducted to manage EOL products, especially Waste Electrical and Electronics equipments (WEEEs). However, as characteristics of a population are different to one another, a customized collection strategy is required. The purpose of this paper is to find an effective collection strategy which considers cost and environmental impact simultaneously.

This paper presents an integrated collection strategy which combines a Fuzzy Colored Petri Net forecasting method and collection network model to collect EOL products. Colored Petri Net is used in modeling the integrated collection strategy. To test the collection strategy, a case study on mobile phone collection in Australia is presented.

The integrated collection strategy developed in this paper finds that by providing demographic data and historical sales of a relevant product in a certain location, the best strategy to collect EOL products in that location can be determined. This paper finds that the best strategy that suits one location might be different to other locations.

This paper presents a model which provides a customized collection strategy that follows the characteristics of a population. This strategy allows government organizations or manufacturers to simulate the strategies to collect EOL products in different locations.

This study examines the relationship between investor cognitive bias, investor intuitive attributes and investment decision quality in commercial real estate in Uganda.

A cross-sectional research survey was used in this study, and data were collected from 200 investors of commercial real estate in Uganda using a structured questionnaire. Hierarchical regression analysis was used to test the hypotheses derived under this study.

The results indicate that investor cognitive bias and investor intuitive attributes are positive and significant determinants of investment decision quality in commercial real estate. In addition, the two components of Investor cognitive bias (framing variation and cognitive heuristics) are positive and significant determinants of investment decision quality, whereas mental accounting is a negative and significant determinant of investment decision quality. For investor intuitive attributes, confidence degree and loss aversion are positive and significant determinants of investment decision quality, whereas herding behavior is a negative and significant determinant of investment decision quality in commercial real estate in Uganda.

For practitioners in commercial real estate sector should emphasize independent evaluation of investment opportunities (framing variation), simplify information regarding investments (Cognitive heuristics), believe in own abilities (Confidence degree), be risk averse (loss aversion) and avoid making decisions based on subjective visual mind (mental accounting) and group think/herding in order to make quality investment decisions. For policymakers, the study has illuminated factors such as provision of reliable information that ought to be taken into account when promulgating policies for regulation of the commercial real estate sector. This will help investors to come up with investment decisions which are plausible.

Few studies have focused on investor cognitive bias and investor intuitive attributes on investment decision quality in commercial real estate. This study is the first to examine the relationship, especially in the commercial real estate sector in a developing country like Uganda.

Safe food-handling media campaigns have been successful at improving some safe food-handling behaviours among consumers. However, little is known about whether specific mechanisms of change, such as habit and perceived risk, can improve the effectiveness of safe food-handling campaign materials. Consequently, this study aims to determine if habit and risk-based behaviour change techniques can improve the effectiveness of safe food-handling media campaign materials.

A prospective experimental design was used. Participants completed baseline measures of habit, perceived risk and behaviour before watching two short safe food-handling video advertisements. Participants were then randomly assigned to complete either a habit or a perceived risk-based behaviour change technique task. Two weeks later, participants completed the baseline measures again. A series of multivariate analyses of variance were conducted to determine differences over time between the two groups in relation to habit, perceived risk and behaviour.

Significant increases in habit (p < 0.001), perceived risk (p < 0.001) and behaviour (p < 0.001) among all participants were found over the study period. However, there were no significant differences in these changes between participants who completed either task for the majority of the target behaviours and related constructs. This suggested that both habit and risk-based behaviour change techniques may help improve campaign materials; however, future research is needed to determine these effects in comparison to a non-active control group.

To the best of the authors’ knowledge, this is the first study to compare the use of two behaviour change techniques for improving safe food-handling health messaging materials. Future safe food-handling media campaigns would benefit from including habit and risk-based behaviour change techniques.