Multi-source data fusion for economic data analysis

PSE and ISE Based E-Commerce Model Design of Sharing Enterprises

“…He et al used a structural equation model to empirically test the impact of sharing economy regulation on perceived privacy risk, consumer trust, and continuous sharing willingness. e results showed that (1) government regulation has a significant negative impact on perceived privacy risk, while industry self-regulation has no significant negative impact; (2) perceived privacy risk has a significant negative impact on consumer trust and continuous sharing willingness; and (3) consumer trust has a significant impact on continuous sharing willingness [6]. Gao et al took 10 core elements of business models as explanatory variables and empirically investigated 15 enterprises in 9 different fields of the sharing economy.…”

“…He and Murphy believe that there is no universality in the supervision of the sharing economy and that local governments at all levels should formulate policy, based on the principles of subsidiarity and flexibility [6,7]. Das Acevedo said that some academics advocate supervision and some advocate a wait-and-see strategy [8].…”

“…In fact, since 2018, the number of shared bicycles in Shanghai, Guangzhou, Xi'an, Changsha, and other cities has been significantly reduced, and citizens have encountered "difficulties in finding shared bicycles" when traveling [1]. He et al identified and documented problems such as excessive expansion, neglect of management, and lack of innovation in bicycle sharing [6]. 1 shows that Uber is the only company in our study that has experienced the simultaneous influence of the PSE and ISE.…”

Information Quality Assessment for Data Fusion Systems

“…Additionally, such model sets out some recommendations such as to offer a justification when an IQ criterion is excluded and to describe their categorizations. Intelligent quality-based approach [130] fusing multi-source possibilistic information 0 0 3 2020 Dynamic weight allocation method [12] multisource information fusion 0 0 0 2021…”

“…In this regard, data fusion has gained much attention and been used in many applications in different fields such as sensor networks [8], fault diagnosis in maintenance [9], internet of things [10], eye movement recognition [11], economic data analysis [12], environmental hazard events [13], acoustic sensor networks [14], target tracking [15], robotics [16], image processing [17], intelligent systems designing, health applications [18], biometrics [19], surveillance [20], and human capital [21] approaches. In this study, the terms "information fusion" and "data fusion" are employed indistinctly for simplicity purposes.…”