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Food delivery apps (FDAs) have altered people's eating behaviour. The convenience of FDAs may cause consumers to order more food than people's level of hunger warrants, leading to food waste. Food waste is a grave societal problem, which, the authors argue, represents the dark side of FDAs. However, the tendency of consumers to order more food than required, or to engage in food over-ordering behaviour, has remained under-explored in the context of FDAs.

This study addresses the gap by examining the antecedents of over-ordering behaviour on FDAs through the theoretical lens of the theory of planned behaviour (TPB), which past studies on food waste have also used.

The authors' results confirm the positive association of attitude, subjective norms and leftover reuse intentions with over-ordering behaviour. The moderation effect of age and gender on the relationship between subjective norms with over-ordering is also confirmed.

The study extends classic TPB propositions by incorporating trust and leftover reuse intentions as antecedents and age and gender as moderation variables. The study thus offers useful inferences for theory and practice.

Food waste in the hospitality sector has emerged as a global concern. Various technology-driven online food services such as the food delivery apps (FDA) contribute to hospitality food waste. FDA users might behave irresponsibly by ordering more foods than required which may lead to food waste generation. To date, limited studies have been attempted to understand how consumers’ over-ordering behavior through FDA result in hospitality food waste.

The authors used partial least squares structural equation modeling (PLS-SEM) to analyze survey data from 248 FDA users.

The results indicated that perceived convenience and trust positively influence consumers' attitude toward FDA, which in turn promotes over-ordering behavior. Interestingly, the anticipated positive relationship between price advantage and attitude toward FDA was not supported by the data. Furthermore, the authors confirmed that over-ordering behavior contributes to food waste, an outcome that has crucial implications for both the hospitality sector and sustainability efforts.

The current study employs the stimulus-organism-behavior-consequence (SOBC) theory to investigate the catalysts and consequences of over-ordering behavior via FDA. This study thus highlights the importance of the SOBC model in understanding consumer behavior.

The purpose of the present research is to examine the underlying motivations of food and beverage (F&B) hotel managers towards their intentions to implement food wastage initiatives in the Indonesian hotel sector.

Using in-depth personal interviews with 26 F&B managers, this study employed the theory of planned behaviour (TPB) to explain F&B managers' intentions towards implementing food wastage initiatives.

The study findings revealed prevailing constraints (such as lack of resources and rigid menu design) preventing them from carrying out their food wastage plan. There was evidence of disparity between who the F&B managers perceive about as important (injunctive norms) and supportive about their food wastage initiatives as compared to the perceived actual behaviour (descriptive norms) of these important reference groups. One such discrepancy is where respondents believe that senior management is important and would support their food wastage initiatives, but the senior management themselves do not allocate resources to combat food wastage.

The findings have important implications for hoteliers to rethink and motivate hotel employees to carry out food wastage initiatives effectively with a more synchronized approach between different management levels.

This is the first paper to examine the discrepancy between injunctive and descriptive norms between middle and senior management in hotels. A key theoretical contribution to the body of knowledge is the fractionation of injunctive and descriptive norms to understand subjective norms in TPB elicitation research.

With the launch of mobile applications to reduce food waste, this study reviews scholarly articles to answer the questions: (1) What research topics are extensively discussed in relation to food waste mobile applications (FWMA)? (2) How do these applications impact food waste and food poverty? (3) At which stage of the supply chain are digital applications employed?

This paper conducts a systematic literature review of scholarly articles on the topic of mobile applications and food waste to answer three research questions.

The article provides a definition of mobile applications to reduce food waste. Most published studies on mobile applications are from developed countries. Over half of the applications address procurement and consumption along the supply chain. The applications are categorized by food saving method and used in studies on innovation management, platform relations and performance, the supply chain activities impacted and platform acceptance.

The articles and applications analyzed suggest more quantitative studies. A wider range of cases in diverse cultural settings is needed, as well as analyses of the factors influencing the development, performance and market acceptance of platforms.

This study is the first study to systematically review the relevant scholarly contributions related to mobile applications, an innovative practice that helps reduce food waste. It allows making an initial progress report on the research carried out.

Optimal ordering decision for a retailer in a dual-sourcing procurement is an important research area. The main purpose of this paper is to explore a loss-averse retailer’s ordering decision in a dual-sourcing problem.

For a loss-averse retailer, the study obtains the optimal ordering decision to maximize expected utility. Based on sensitivity analysis, the properties of the optimal ordering decision are well discussed.

Under the optimal ordering quantity that maximizes expected loss aversion utility, the relevant expected profit of a retailer turns to be smaller under a bigger loss aversion coefficient. For this point, a retailer needs to balance between expected loss aversion utility maximization and expected profit maximization in deciding the optimal ordering policy in a dual-sourcing problem.

This paper reveals the influence of loss aversion on a retailer’s ordering decision in a dual-sourcing problem. Managerial insights are suggested to devise the optimal ordering policy for retailers in practice.

This study aims to (1) examine the effects of restaurant customer self-efficacy and perceived collective efficacy toward food waste reduction on their food waste reduction intention (FWRI), and (2) explore the mediating role of customer ethical judgment toward restaurant food waste reduction behavior in the relationship between efficacy and food waste reduction intention.

Data were collected through an online survey. The responses from 428 US restaurant customers were used for data analysis. Partial least squares structural equation modeling (PLS-SEM) was employed to examine the path effects.

The study found that restaurant customer self-efficacy and perceived collective efficacy toward food waste reduction positively influenced their FWRI. These relationships were mediated by customers’ ethical judgment.

Restaurant practitioners are recommended to allocate resources to food waste reduction programs and make customers aware of the efforts they have dedicated. Customer FWRI can be increased if they judge such initiatives as highly ethical. The restaurant practitioners should also be aware of the distinct associations between customer self-efficacy and perceived collective efficacy and their ethical judgment.

This is the first study to discuss the roles of customer self-efficacy, perceived collective efficacy and ethical judgment toward food waste reduction in determining FWRI. The proposed framework enriches social cognitive theory and self-regulation theory. The results especially underscore the mediating role of customers’ ethical judgment.

This study aims to integrate the theory of planned behavior (TPB), norm activation model (NAM) and stimulus–organism–behavior–consequences theory (SOBC) with the moderators to investigate the main determinants of energy-saving behaviors as well as how group-level factors and media publicity significantly facilitate the energy-saving intention-behavior linkage among dormitory students in higher education institutions (HEIs).

A valid sample of 325 dormitory students resided in universities of Vietnam and a three-step analysis approach via SPSS 28.0 and AMOS 25.0 were used to test the hypothesized model.

This study yields that external stimuluses (subjective norms and perceived behavioral control) positively and strongly stimulate energy–energy attitude, while internal stimuluses (ascription of responsibility, awareness of consequences) arouse personal norms. Both internal and external stimuluses were found to have serially mediation effects on energy-saving behaviors via attitude toward energy saving, personal norms and energy-saving intention. Remarkably, group interaction and media publicity exert prominent positive moderation effects on the energy-saving intention–behavior relationship.

The findings of this research can be valuable for HEIs and policymakers to inspire university students’ energy conservation behavior for sustainable development goals.

This study contributed to the proenvironmental literature by adopting the SOBC paradigm that strengthens the integration of TPB and NAM models to explore the main determinants of dormitory students’ energy-saving behaviors, explain the underlying mediation mechanisms of organisms and behavioral responses and illustrate the moderation role of group-level factors and media publicity.

Food waste is increasingly becoming a major issue for retail companies. However, there is still limited knowledge of how new forms of collaborative consumption (CC) may impact firms' behavior. This paper identifies and examines how the enablers of food waste and firms' tendency to cooperate with their customers may affect the adoption of measures oriented to diminish waste reduction, as well as the use of mobile technologies.

A empirical study has been conducted on a sample of international firms operating in the food sector as retailers (i.e. restaurants, bar and catering services) or in similar activities (i.e. hotels and accommodations). The authors tested an empirical model aimed at revealing the possible mediating role of customer cooperation in affecting the impact of food waste enablers on (1) waste recovery measures and (2) the adoption of mobile technologies for food recovery.

The results of this study showed how customer cooperation mediates the impact of food waste enablers on the intention to use mobile applications for food recovery but not on the adoption of food recovery measures that, instead, mainly depends on waste causes internal to the firm.

This is one of the first studies that tries to identify and evaluate the impact of the different enablers of food waste on firms' pro-environmental behaviors. Interestingly, the authors show how customer cooperation is a decisive factor to promote new forms of CC in the food industry. Importantly, customer cooperation acts as a bridge between the drivers of food waste and a firm's intention to adopt measures against it. By actively involving customers, firms can gain insights, develop effective strategies and foster a culture of waste reduction that benefits both the business and the environment.

Design and build (D/B) construction methods have gained more importance in recent years for their potential advantages in improving project performance. There are, however, a number of problems that are commonplace in D/B procurement, which, when they interact with each other, can lead to project time and cost overrun problems. The most important among them are design changes, together with communication and coordination lapses among concerned parties. Past research has focused only on the characteristics of the traditional construction, or separate sub‐systems such as different phases or human resource input to projects. An attempt is made in this paper to improve D/B project time and cost performance. A generic system dynamics model is developed that incorporates major sub‐systems and their relationships inherent in D/B constructions projects. It is validated and calibrated for a typical large D/B infrastructure project using time and cost overrun problems experienced in Thailand. Extensive simulations with many policies, individually or in various combinations, show that improvement in time or cost can be made with proper policy combinations that reflect strong interactions between the whole design and build system and can be derived only if these interactions are accounted for. To achieve overall improvement in both time and cost, the combination of full overtime schedule, average material ordering, and fast track construction with moderate crashing of design is most appropriate. If cost is the focus, extending the construction schedule, combined with material ordering based on actual need, and design and build with traditional construction method is the best solution.

With the rapid development of e-commerce, multi-sourcing with supply contracts and spot buying has become more and more popular in reality. The main purpose of the paper is to explore a loss-averse buyer's optimal procurement policy in a multi-sourcing under e-commerce surroundings.

The study introduces the loss aversion utility function to characterize the loss aversion effect and derives a loss-averse buyer's optimal procurement policy in a multi-sourcing with a wholesale price contract and spot market.

A loss-averse buyer could order no items in a wholesale price contract and only needs to replenish commodities from spot market under certain conditions. In addition, the study shows that spot capacity has important influences on a loss-averse buyer's optimal ordering decision in the wholesale price contract.

This is the first paper to study the loss aversion effect on a buyer's procurement decision in a multi-sourcing. The results present important managerial insights for a loss-averse buyer to devise optimal ordering policies in a multi-sourcing under e-commerce surroundings.