proximity service
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Author(s):  
Xiaoou Liu ◽  
Jingwen Li ◽  
Xiaoyi Chen ◽  
Mingchuan Yang ◽  
Wei Liang


2020 ◽  
Vol 34 (4) ◽  
pp. 459-472 ◽  
Author(s):  
Jiyoung Kim ◽  
Sunmee Choi ◽  
Drew Martin

Purpose Applying social capital and the social exchange theories to customer-to-customer (C2C) interactions, this study aims to propose that interaction quality perceptions affect the customer-to-service provider’s interaction quality perceptions in a prolonged, close-proximity service setting. Examining this exogenous dimension, the study also tests socio-emotional support perception’s mediating effect and customer proactiveness’ moderating effect. Design/methodology/approach This study adopts and modifies existing general services of C2C interaction dimensions to fit the health-care context. An in-person survey of 192 neurosurgery inpatients and their care-giving companions (both considered health-care customers) provides data to validate the dimensions and test the model. Structural equation modeling and moderated regression test the hypotheses. Findings Results show that affirmative C2C interactions positively affect the customer’s perceived socio-emotional support, whereas negative C2C interactions show no significant impact. Greater socio-emotional support acuity improves customers’ assurance and empathy quality perceptions about the provider’s service. Customer proactiveness moderates C2C interaction dimensions. Research limitations/implications This study extends the research of the C2C interaction to include their effect on service quality perceptions in a prolonged close-proximity service setting. Study results validate C2C interaction’s dimensions specific to an inpatient setting. Finally, this study extends the application of social capital theory and social exchange theory to C2C settings. Practical implications Findings emphasize the importance of managing C2C interactions during prolonged, close-proximity service delivery processes to improve customer perceptions of service quality. Results suggest that managers should monitor customer proactiveness to maximize positive C2C interactions’ positive effects while minimizing negative C2C interactions. Originality/value Prior service quality studies tend to focus on managing internal resources (staff, processes or physical environment); however, this study examines how the interactions among external resources create a halo effect and impact customers’ service quality perceptions. Results inform methods to improve their quality perceptions by better managing exogenous factors. The study also responds to calls for research on how C2C interactions affect functional service contexts (vs hedonic service contexts).



IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 169106-169109
Author(s):  
Yufeng Wang ◽  
Qun Jin ◽  
Jianhua Ma ◽  
Klimis Ntalianis ◽  
MD. Zakirul Alam Bhuiyan ◽  
...  


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 43795-43805 ◽  
Author(s):  
S. Nandakumar ◽  
T. Velmurugan ◽  
Utthara Thiagarajan ◽  
Marimuthu Karuppiah ◽  
Mohammad Mehedi Hassan ◽  
...  


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 16991-17000 ◽  
Author(s):  
Xiaohui Wang ◽  
Haoran Gu ◽  
Hao Zhang ◽  
Haoyue Chen


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 28826-28834 ◽  
Author(s):  
Xingzhen Bai ◽  
Zhijing Zhang ◽  
Lu Liu ◽  
Xiaojun Zhai ◽  
John Panneerselvam ◽  
...  


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 3948-3957 ◽  
Author(s):  
Fei Pan ◽  
Zhibo Pang ◽  
Ming Xiao ◽  
Hong Wen ◽  
Run-Fa Liao


2017 ◽  
Vol 1 (2) ◽  
pp. 127-149 ◽  
Author(s):  
Jose Ignacio Tamayo Segarra ◽  
Bilal Al Jammal ◽  
Hakima Chaouchi

Purpose Internet of Things’ (IoT’s) first wave started with tracking services for better inventory management mainly using radio frequency identification (RFID) technology. Later on, monitoring services became one of the major interests, including sensing technologies, and then more actuation for remote control-type of IoT applications such as smart homes, smart cities and Industry 4.0. In this paper, the authors focus on the RFID technology impairment. They propose to take advantage of the mature IoT technologies that offer native service discovery such as blutooth or LTE D2D ProSe or Wifi Direct. Using the automatic service discovery in the new framework will make heterogeneous readers aware of the presence of other readers and this will be used by the proposed distributed algorithm to better control the multiple RFID reader interference problem. The author clearly considers emerging Industry 4.0 use case, where RFID technology is of major interest for both identification and tracking. To enhance the RFID tag reading performance, collisions in the RFID frequency should be minimized with reader-to-reader coordination protocols. In this paper, the author proposes a simple distributed reader anti-collision protocol named DiSim that makes use of proximity services of IoT network and is compliant with the current RFID standards. The author evaluates the efficiency of the proposal via simulation. Design/methodology/approach In this paper, the author proposes a simple distributed reader anti-collision protocol named DiSim that makes use of proximity services of IoT network and is compliant with the current RFID standards. The author evaluates the efficiency of the proposal via simulation to study its behavior in very dense and heterogeneous RFID environments. Specifically, the author explores the coexistence of powerful static readers and small mobile readers, comparing the proposal with a standard ETSI CSMA method. The proposal reduces significantly the number of access attempts, which are resource-expensive for the readers. The results show that the objectives of DiSim are met, producing low reader collision probability and, however, having lower average readings per reader per time. Findings DiSim is evaluated with the ETSI standard LBT protocol for multi-reader environments in several environments with varied levels of reader and tag densities, having both static powerful RFID readers and heterogeneous randomly moving mobile RFID readers. It effectively reduces the number of backoffs or contentions for the RFID channel. This has high reading success rate due to the avoided collisions; however, the readers are put to wait, and DiSim has less average readings per reader per time. As an additional side evaluation, the ETSI standard LBT mechanism was found to present a good performance for low-density mid-coverage scenarios, however, with high variability on the evaluation results. Research limitations/implications To show more results, the author needs to do real experimentation in a warehouse, such as Amazon warehouse, where he expects to have more and more robots, start shelves, automatic item finding on the shelve, etc. Practical implications Future work considers experimentation in a real warehouse equipped with heterogeneous RFID readers and real-time analysis of RFID reading efficiency also combined with indoor localization and navigation for warehouse mobile robots. Social implications More automatization is expected in the future; this work makes the use of RFID technology more efficient and opens more possibilities for services deployment in different domains such as the industry which was considered not only in this paper but also in smart cites and smart homes. Originality/value Compared to the literature, the proposal offers the advantage to not be dependent on a centralized server controlling the RFID readers. It also offers the possibility for an existing RFID architecture to add new readers from a different manufacturer, as the readers using the approach will have the possibility to discover the capabilities of the new interaction other RFID readers. This solution takes advantage of the available proximity service that will be more and more offered by the IoT technologies.





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