2018
DOI: 10.1108/ijlm-12-2016-0302
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An innovation diffusion perspective of e-consumers’ initial adoption of self-collection service via automated parcel station

Abstract: Purpose As an application of self-service technology, automated parcel station (APS) is emerging as a logistics innovation to address the inefficiency and delivery failure in conventional home delivery. However, the long-term viability of APS depends on the consumers’ acceptance of such concept. In response, the purpose of this paper is to conduct a behavioural study on consumers’ adoption of self-collection service via APS. Design/methodology/approach By synthesising theoretical insights from the innovation… Show more

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Cited by 128 publications
(82 citation statements)
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References 51 publications
(73 reference statements)
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“…Microeconomic theory is the largest group, including game theory [16,107], agency theory [76], and fuzzy set theory [6]. The theory of diffusion of innovation is used in two studies [56,57]. Competitive theory includes contingency theory, used in two articles [45,151].…”
Section: Theoretical Lensesmentioning
confidence: 99%
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“…Microeconomic theory is the largest group, including game theory [16,107], agency theory [76], and fuzzy set theory [6]. The theory of diffusion of innovation is used in two studies [56,57]. Competitive theory includes contingency theory, used in two articles [45,151].…”
Section: Theoretical Lensesmentioning
confidence: 99%
“…The largest share focuses on emerging technologies and innovations, particularly goods reception solutions. Some examples of goods reception literature include studies of customer value in self-service technologies (i.e., parcel lockers) [30], consumers' intention to use such technology [4], location of lockers [63], and diffusion of innovation [56]. Other goods reception solutions include collection and delivery points; this literature addresses acceptability from consumers' perspectives [54], greenhouse gas emissions [32], individual travel patterns [31], and the strategy of network operators [61].…”
Section: Last Mile Deliverymentioning
confidence: 99%
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“…For customers, their choice of all these alternatives comes from personalized demand on delivery service based on their consideration of various situational factors, such as location, security, reliability, time flexibility, speed, price, and function [41][42][43][44][45], which may differ with individual characteristics, such as shopping frequency, living conditions, working status, optimism, and innovation, according to previous research [46][47][48][49]. Some studies found that customers with regular work tend to receive parcels at the workplace or use CDPs near home, while the unemployed, freelancers, and retired individuals have more free time for pick-up or home delivery [50].…”
Section: Introductionmentioning
confidence: 99%
“…As the security issue was noted as an incentive for pick-up's popularity among females in China [52], different views were held by Swedish customers concerning risk of robbery [53]. Customers' choice between manned and unmanned CDPs may stem from their adaption to innovations and their need for social interaction and personal service [48,53].…”
Section: Introductionmentioning
confidence: 99%