Applying the integrated model to understanding online buyers’ intention to adopt delivery drones in Iran

Ganjipour, Houmaan; Edrisi, Ali

doi:10.1080/19427867.2022.2035130

Cited by 14 publications

(8 citation statements)

References 82 publications

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“…Meyer-Waaeden and Cloarec [29]; Zhang et al [30] UAVs: Kim and Chung [31]; Ganjipour and Edrisi [32] ADVs: Kapser and Abdelrahman [16]; Kapser et al [33] Cognitive appraisal theory (CAT) CAT holds that emotions are aroused due to the individual's evaluation of the stimulus, which further determines the behavioral response [34] AVs: Ribeiro et al [34] Motivated consumer innovativeness (MCI) MCI emphasizes the efect of motivation on customers' behaviors. Motivation is classifed into four main types, namely, functional motivation, hedonical motivation, cognitive motivation, and social motivation [1] AVs: Hewitt et al [28] UAVs: Mathew et al [1] Teory of planned behavior (TPB) TPB is designed to predict customers' behavioral intentions according to three main components, namely, attitude, subjective norms, and perceived behavioral control [35] UAVs: Ramadan et al [35] Difusion of innovation theory (DOI) DOI is used to explain why customers adopt new technologies and includes fve constructs (i.e., relative advantage, complexity, compatibility, observability, and trialability) [14] UAVs: Yoo et al [14] to accept the technology because respondent confdence levels often increase with such direct experience.…”

Section: Referencesmentioning

confidence: 99%

“…However, the results showed that UAVs were not generally accepted except for in the arenas of public safety and scientifc research. Need for human interaction was added into the UTAUT2 model in Ganjipour and Edrisi's study and was found to have a negative efect on adoption intentions toward delivery drones [32]. Other studies used the Knowledge, Attitude, and Practice Model or other methods to explore customer acceptance [45][46][47].…”

Section: Autonomous Delivery Autonomous Delivery Includes Not Only Ad...mentioning

confidence: 99%

“…Similar to autonomous taxis [22], ADVs circumvent the person-to-person contact that comes with using couriers. One study has found that the greater the need for human interaction, the less intention there is to try drone delivery [32]. Drawing upon this fnding, customers who are socially awkward, meaning that they are less adept at or inclined to communicate with other people, may fnd ADVs to be an attractive option.…”

Section: Constructs In the Conceptualmentioning

confidence: 99%

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Customer’s Adoption Intentions toward Autonomous Delivery Vehicle Services: Extending DOI Theory with Social Awkwardness and Use Experience

Huang

Wang

et al. 2023

Journal of Advanced Transportation

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The high demand and acute timeliness that characterizes instant delivery entail the challenges of high labor costs and an increase in courier traffic accidents. Autonomous delivery vehicles (ADVs) may serve as a key solution, with their attendant reduced labor input and higher efficiency. Customers play a key role in the successful implementation of ADVs on a large scale. However, understanding the factors that affect customers’ intentions to use ADVs is still limited. Compared to autonomous driving, ADV customers are ultimately not the real users, who only are served by ADVs during the last leg of a trip. On account of this, the Technology Acceptance Model (TAM) may not be well-fitted for explaining the dynamics involved in ADV adoption. Within the context of ADVs, our study identified influencing factors that have not been captured by prior studies. This study incorporates infection risk, use experience, and social awkwardness into the Diffusion of Innovation (DOI) theory to explore customers’ intentions to use ADVs. Data from 691 survey respondents were collected to validate the research design. The results demonstrate that compatibility, social influence, infection risk, green image, social awkwardness, and use experience all have a significantly positive impact on customers’ intentions to adopt ADV services, while complexity and perceived risk both exhibited a negative impact. But no effect could be found for relative advantage, which may be because of the fact that customers only need ADVs to meet their delivery demand. This study contributes to understanding customers’ adoption intentions toward ADVs, informing policymakers in formulating ADV regulations and standards, and promoting the large-scale application of ADVs in instant delivery services.

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Section: Referencesmentioning

confidence: 99%

Section: Autonomous Delivery Autonomous Delivery Includes Not Only Ad...mentioning

confidence: 99%

Section: Constructs In the Conceptualmentioning

confidence: 99%

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Customer’s Adoption Intentions toward Autonomous Delivery Vehicle Services: Extending DOI Theory with Social Awkwardness and Use Experience

Huang

Wang

et al. 2023

Journal of Advanced Transportation

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“…By 2027, 330.8 million consumers are projected to be using the online food delivery service far exceeding most countries except China. Most studies so far employ underpinning theories of the Norm Activation Model [17,18], Theory of Planned Behavior [19], Value Belief Norm [20], Technology Acceptance Model (TAM) [21,22], Unified Theory of Acceptance and Use of Technology (UTAUT) [23,24], and extended UTAUT [25,26]. Studies on drones as food delivery options are few in the Indian context.…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing Technology Acceptance of Drones for Last-Mile Food Deliveries: An Adaptation of the UTAUT2 Model

Mathew,

Chowdhury,

Devpura

et al. 2023

Human Behavior and Emerging Technologies

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As the food delivery sector grows in importance, new delivery modes to address service issues, such as costs, swift delivery, and environmental concerns, are being researched. However, research on drone-based food delivery services is still lacking, especially in the Indian context, which the current study aims to address. The study furthered the UTAUT2 model with additional perceived risk and price sensitivity constructs. Quantitative, cross-sectional data was collected nationwide using convenience sampling through online survey questionnaires. The 323 responses were analyzed using the partial least square-structural equation modeling method. The results identified effort expectancy, social influence, and hedonic motivation as significant predictors of attitude and behavioral intention. In an emerging economy with a vast consumer base, this study may offer a preliminary standpoint for understanding the consumer perspective on drone food deliveries. The findings of this study might be necessary for businesses that deal with food delivery logistics as a point of view to formulate successful strategies.

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“…Aydin (2022),Chen et al (2022),Choe et al (2021a),Choe et al (2021b),Çelik and Aydın (2021),Frazier (2021),Ganjipour and Edrisi (2022),Hwang and Choe (2019),Hwang and Kim (2019),Hwang and Kim (2020), Hwang et al (2019a), Hwang et al (2019b), Hwang et al (2020a), Hwang et al (2020b), Hwang et al (2021a), Jasim et al (2022), Khan et al (2019), Kim and Hwang (2020), Kim et al (2021), Leon et al (2021), Liu et al (2020), Mathew et al (2021), Michels et al (2021), Mittendorf et al (2017), Napaporn (2020), Osakwe et al (2022), Sham et al (2022), Waris et al (2022), Yaprak et al (2021) and Yoo et al (2018) are the thirty studies selected for this current study. Accordingly, there are empirical studies conducted on drone delivery from 2017 to the present (i.e.…”

mentioning

confidence: 99%

A Biblyometric Analysis of Empirical Studies on Drone Delivery

Cesur

Yiğenoğlu

Aydın

et al. 2022

Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi

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Product delivery by drone has become a topic of increasing interest in the academic community. The aim of this study is to provide information about the authors who conducted the studies, the countries where the studies were conducted, the years of the studies, the methodology of the studies, the theoretical background of the studies, and the variables used in the studies by making a bibliometric analysis of 30 studies, which were selected based on certain criteria, including the subject of product delivery by drone. For this purpose, a bibliometric analysis of 30 selected studies was carried out using VOSviewer software. According to the results obtained, Jinsoo Hwang is the one who has done the most work on product delivery by drone. Most studies were conducted in South Korea. Looking at the years in which the studies were carried out, it was seen that the subject of delivery by drone was studied more and more each year. Accordingly, interest in drone delivery is increasing day by day. The questionnaire method was used in all of the studies. The most technology acceptance model was used in the studies. The most used variables are intention, attitude, risk, and innovativeness, respectively. It is expected that these results will provide researchers with foresight.

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Applying the integrated model to understanding online buyers’ intention to adopt delivery drones in Iran

Cited by 14 publications

References 82 publications

Customer’s Adoption Intentions toward Autonomous Delivery Vehicle Services: Extending DOI Theory with Social Awkwardness and Use Experience

Customer’s Adoption Intentions toward Autonomous Delivery Vehicle Services: Extending DOI Theory with Social Awkwardness and Use Experience

Factors Influencing Technology Acceptance of Drones for Last-Mile Food Deliveries: An Adaptation of the UTAUT2 Model

A Biblyometric Analysis of Empirical Studies on Drone Delivery

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