The Digital Economy of Crowdsourcing: Crowd Shipping Model as E-Business

被引:0
作者
Hassaan, Sarah [1 ]
Yaqot, Mohammed [1 ]
Menezes, Brenno C. [1 ]
机构
[1] Hamad Bin Khalifa Univ, Coll Sci & Engn, Div Engn Management & Decis Sci, Qatar Fdn, Doha, Qatar
来源
2021 1ST INTERNATIONAL CONFERENCE ON EMERGING SMART TECHNOLOGIES AND APPLICATIONS, ESMARTA 2021 | 2021年
关键词
Crowdsourcing; crowd shipping; digital economy; matching; platform; peer-to-peer;
D O I
10.1109/ESMARTA52612.2021.9515750
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Today's business worldwide is navigating in the digital economy that utilizes services of the crowds for the completion of tasks. Traditional models dependent on internal human resources (in-source) are now being outsourced to the public, expanding faster into new market sectors. With evolving information and communication technologies (ICT) and the internet of things (IoT), novel and customized business models emerged, moving toward decentralized network systems where individuals (peer-to-peer) may participate in the so-called crowdsourcing. This paper focuses particularly on the delivery of products in crowd shipping, creating a delivery service through crowd usage. A generic business model for applications in crowd shipping is addressed, whereby we proposed a crowd shipping delivery model, that utilizes commercial airplanes for low weight packages (below 1 Kg). The responsiveness is advantageous for the continuous flight schedules, while the lightweight involves more travelers for facilitating the delivery of products. It has been shown how large this brand-new transportation mode (based on the crowd) will grow if the appropriate infrastructure is implemented to evolve with the digital economy.
引用
收藏
页码:35 / 40
页数:6
相关论文
共 20 条
[1]  
[Anonymous], OECD Digital Economy Outlook 2020, DOI DOI 10.1787/BB167041-EN
[2]  
[Anonymous], 2021, Netflix Recomendado Para Si
[3]  
[Anonymous], 2021, About Us
[4]  
Bei XH, 2018, AAAI CONF ARTIF INTE, P3
[5]  
Chohan U.W., 2020, Critical Blockchain Research Initiative (CBRI) Working Papers, DOI [10.2139/ssrn.3512353, DOI 10.2139/SSRN.3512353]
[6]  
Ershova T. V., 2018, P 2018 11 INT C QUOT, V2, P1
[7]   Ride-matching and routing optimisation: Models and a large neighbourhood search heuristic [J].
Hou, Liwen ;
Li, Dong ;
Zhang, Dali .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2018, 118 :143-162
[8]   Crowdsourcing: A revised definition and introduction to new research [J].
Kietzmann, Jan H. .
BUSINESS HORIZONS, 2017, 60 (02) :151-153
[9]   Crowd-shipping services for last mile delivery: Analysis from American survey data [J].
Le, Tho V. ;
Ukkusuri, Satish V. .
TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, 2019, 1
[10]   First and Last Mile Delivery - Problems and Issues [J].
Macioszek, Elzbieta .
ADVANCED SOLUTIONS OF TRANSPORT SYSTEMS FOR GROWING MOBILITY, 2018, 631 :147-154