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This study aims to apply the value-belief-norm (VBN) model in the context of environmentally friendly drone food delivery services to understand ways to influence consumers’ behavior toward the services. The current study also attempted to deepen the VBN model using the moderating role of product involvement.

Data were collected from 428 respondents through an online survey in South Korea.

The results of the data analysis indicated that all proposed hypotheses have been statistically supported in the VBN model. Furthermore, product involvement played a moderating role in the relationship between the sense of obligation to take pro-environmental actions and intentions to use and a sense of obligation to take pro-environmental actions and willingness to pay more.

Although drone food delivery services have not yet been fully commercialized, many foodservice companies have conducted pilot tests and the services are likely to be commonly used in the near future. Thus, the findings of this study are expected to have important implications for companies preparing to roll out drone food delivery services.

This paper aims to explore the types of perceived risks involved with using drone food delivery services. Furthermore, this study investigates the relationship between perceived risk and image of drone food delivery services. Lastly, this study examines the effect of image of drone food delivery services on desire, intentions to use and willingness to pay more.

This study collected data from 331 respondents in Korea. Before the start of the survey, the respondents were given a video, which made it easier for them to understand drone food delivery services.

The three types of perceived risks (i.e. time risk, performance risk and psychological risk) have a negative influence on image of drone food delivery services and, thus, aids in increasing desire, intentions to use and willingness to pay more.

The concept of perceived risk was applied to the context of drone food delivery services in this study in combination with other understudied concepts, image, desire, intentions to use and willingness to pay more. This study is one of the first studies that applied those significant concepts to the context of drone food delivery services, even though there are a large number of papers in the technology field. Thus, the findings of this study will be important to foodservice companies when building successful drone food delivery services.

The present study intends to discover and analyze the determinants of users' intention to use (ITU) drone-based online food delivery (OFD) services. The study mainly focuses on the drone-based food delivery system in India and its implications.

This study has used the purposive sampling method. With the support of the technology acceptance model (TAM) and the theory of planned behavior (TPB), a theoretical model was developed conceptually. Later, the model was validated using the partial least square-structure equation modeling (PLS-SEM) technique with consideration of 324 responses mainly from university students in Delhi- National Capital Region (NCR).

The findings reveal that all the determinants are positively and significantly related to ITU, except for perceived behavioral control that does not influence the consumer’s ITU drone-based OFD services. The study also shows that how food delivery system through drone can revolutionize the entire food delivery system in India.

The present study has developed a unique model that can be used by practitioners, future researchers in this field and policymakers in government departments. The present study is limited to Delhi-NCR in India, and thus, there is an issue of generalizability in the present study.

This study has examined the future of food delivery system through drone-based system. Thus, the leaders in the food industry will be better positioned to understand consumers' intentions to use OFD services using drones and be able to make more informed decisions about investment in drone technology in their respective organizations.

The present study has combined both the technology adoption model and the TPB and developed a theoretical model. The study enriches the literature on drone-based OFD services. Since users' acceptance of OFD services using drones is an under-researched area, the present study will make a meaningful contribution to bring the body of literature in this domain.

The purpose of this study is to examine the factors influencing consumers' intentions to use drone food delivery services from the perspective of the theory of consumption values (TCV).

Data collection involves the utilisation of self-administered questionnaires. Subsequently, 305 data were gathered from Malaysian consumers and subjected to analysis through partial least squares structural equation modelling (PLS-SEM).

This study demonstrated that functional, social, emotional and epistemic values, as well as personal innovativeness, can strongly predict intentions. However, neither the conditional value nor environmental concerns were significant predictors of intentions.

The study is the first of its kind to use the TCV from the perspective of a developing country to understand consumers' intentions to use drone food delivery services.

The purpose of this study was to explore if five subdimensions of perceived risk (financial, time, privacy, performance and psychological risks) negatively affects image. In addition, this study aims to investigate if image has a positive effect on intentions to use. Lastly, the purpose of this study was to examine the moderating effect of Coronavirus disease-2019 (COVID-19), before and after the outbreak, in the relationship between perceived risk and image.

Data were collected from 331 people before the COVID-19 outbreak and 343 people after the COVID-19 outbreak. To test hypotheses, this study used structural equation modeling.

Time, performance and psychological risks negatively affected image before the outbreak of COVID-19. Meanwhile, performance risks and psychological risks had a negative influence on image only after the outbreak of COVID-19. In addition, there was demonstrated to be a positive relationship between image and intentions to use, both before and after the COVID-19 outbreak. Finally, the outbreak of COVID-19 positively moderates the relationship between performance risk and image.

The current study provides the following practical implications. First, industry practitioners need to develop a performance guarantee system which enhances the quality assurance of drone food delivery services (DFDS). Second, live streaming or creative activities would help to visualize DFDS in a way that stresses the stable operation of these services.

The importance of contactless services has been emphasized ever since the beginning of the COVID-19 outbreak. However, there has been very little research on the future of contactless services after COVID-19. This study investigated the perceived risk from DFDS as a form of contactless service which has not been conducted before. The findings of this study will improve the understanding of the changes that have occurred in consumers’ perception of risk from DFDS during the COVID-19 pandemic.

The purpose of this research is to reveal consumer preferences towards innovative last-mile parcel delivery and more specifically unmanned aerial delivery drones, in comparison to traditional postal delivery (postie) and the recent rise of parcel lockers in Australia. The authors investigate competitive priorities and willingness to pay for key attributes of parcel delivery (mode, speed, method and time window), the role of contextual moderators such as parcel value and security and opportunities for logistics service providers in the growing e-commerce market.

A survey involving stated choice experiments has been conducted among 709 respondents in urban Australia. The authors estimated panel error component logit models, derived consumer priorities and deployed 576 Monte Carlo simulations to forecast potential delivery mode market shares.

The study results suggest that people prefer postie over drone delivery, all else equal, but that drone deliveries become competitive with large market shares if they live up to the premise that they can deliver faster and cheaper. Both drone and postie become less attractive relative to parcel lockers when there is no safe place to leave a parcel at a residence, highlighting the importance of situational context and infrastructure at the receiving end of last-mile delivery. The authors identified opportunities for chargeable add-on services, such as signature for postie and 2-h parcel deliveries for drones.

The authors offer timely and novel insights into consumers preferences towards aerial drone parcel deliveries compared to postie and lockers. Going beyond the extant engineering/operations research literature, the authors provide a starting point and add new dimensions/moderators for last-mile parcel delivery choice analysis and empirical evidence of market potential and competitive attributes of innovative versus traditional parcel delivery alternatives.

This study aims to propose the effect of five sub-dimensions of the expected benefits, which include compatibility, social influence, convenience, function and emotion on attitude and behavioral intentions.

A research model including eight hypotheses was tested using 413 samples collected in South Korea.

The data analysis results indicated that the five sub-dimensions of expected benefits aid to enhance attitude, which plays an important role in the formation of behavioral intentions.

This study was designed to empirically identify the important role of expected benefits in the context of drone food delivery services for the first time.

无人机送餐服务的预期效益：对态度和行为意向影响的研究

本研究提出无人机送餐的预期效益, 及其五大维度（兼容性, 社交影响力, 方便, 实用, 以及情感）对消费者态度和行为意向的影响。

本研究样本包括413韩国消费者来检测提出的理论模型以及八项研究假设。

数据分析显示预期效益包括的五大维度可以提高消费者态度。消费者态度在促进行为意向产生了关键性影响。

本论文是有关预期效益在无人机送餐的关键性作用的首次实证研究

The objective of this chapter is to identify the key characteristics of Global Services businesses that will thrive and achieve success in the future. These factors are integrated into three main pillars, which we refer to as the Triple-Win. The first and most obvious pillar is technology as a tool. The second pillar is the design and sustainability of the business model, without which the previous factor would be merely a cost and not an investment. And last but not the least, there is the purpose which gives meaning to the proposal, focusing on the human being and their environment. The DIDPAGA business model sits at the intersection of these three elements.

Although healthcare and healthy living are integral to the Sustainable Development Goals (SDGs) for 2030, the coronavirus epidemic has dealt a devastating blow to these efforts. As governments and policymakers were compelled to shift their focus to lockdowns, sustenance, procurement, and distribution of vaccines, the momentum for health initiatives slowed, and the already fragile health systems of emerging markets were subjected to additional shocks. However, in many underserved regions of the globe, the introduction of technology has greatly facilitated the distribution and adoption of healthcare services.

This chapter highlights mini-cases from four emerging nations: Bangladesh, Nigeria, Vietnam, and the Philippines. Although the countries are emerging, each one of them are in a distinct stage of development and face a unique set of healthcare-related challenges. The chapter showcases how four different organizations based in these countries leveraged the use of technology to take healthcare services to underserved populations. In doing so, they addressed the key challenges of imparting healthcare: geographic accessibility, availability, financial accessibility, and acceptability.

This chapter concludes with a discussion of the implications of expanding healthcare industries leading to increased healthcare waste. To prevent mass population exposure to hazardous substances, the emergence of intelligent healthcare waste collection and disposal systems will be an absolute necessity. Hence, with the development of healthcare services, governments and policymakers need to mechanize smart waste management systems to safeguard humans, animals, and the environment.

This study aims to apply legitimacy theory and self-identity theory to the online food delivery (OFD) app service and then to investigate the impact of green brand legitimacy and biospheric value orientation perceived by customers on eco-friendly behavior.

This study focuses on the mediating role of trust in green brands and its perceived benefits (including psychological and environmental benefits). This study involved an online survey of 445 customers who had experienced using OFD services in the past six months.

The platform's green brand legitimacy and consumer perceived biospheric value orientation positively impact trust in green brands. Trust in green products and services significantly affects customers' perceived benefits and has a positive impact on eco-friendly service using behavior. Mediating effect analysis indicated that brand legitimacy and biospheric value have a positive indirect influence on the psychological benefits of supporting green activities and utilitarian environmental benefits.

The convenience sampling method is used, and its purely quantitative nature may limit the generalization of the research results.

The OFD platform should encourage online catering retailers to use more eco-friendly packages for packaging food and minimize the provision of disposable tableware. The platform manager can provide consumers with knowledge and information on lowering related environmental pollution sources when ordering food.

This study innovatively introduces brand legitimacy into the green consumption literature. This is an essential expansion of the content of brand legitimacy and a supplement for the research field of eco-friendly behavior.