Subjects: Management Science >> Management Engineering submitted time 2023-09-28
Abstract： The big data analysis and application, covers five challenges including the computing infrastructure, the data management practices, the researcher preferences, the various collaboration opportunities and the cost obscured by technology. This article proposes some feasible practical suggestions to address these issues as (1) establishing open scientific platforms and data warehouses to facilitate data sharing and communication; (2) strengthening cross-disciplinary collaboration mechanisms and encouraging experts from different fields to participate in data analysis and research; (3) developing clear codes of conduct and specifications to ensure data quality and privacy protection; (4) utilizing cloud computing technologies and automation tools to improve the efficiency of data processing and analysis; (5) investing in education in the field of big data, cultivating more talents, and improving the technical level of the entire industry.
Peer Review Status:
Awaiting Review
Subjects: Management Science >> Management Engineering submitted time 2023-08-10
Abstract： Abstract:[Objective] To comprehensively construct a new pattern for the root-out of migrant workers' wage arrears and multiply the capacity and effectiveness of smart governance for wage arrears. [Methods] The current situation of wage arrears governance and the "regulatory dilemma" in smart governance for wage arrears are analyzed. Under the framework of social co-governance, domain knowledge engineering model is used as the top-level design method. [Conclusions] An overall layout for the top-level design of smart governance for wage arrears for migrant workers is proposed, including two systems, one goal, two capabilities, three foundations, and one platform.
Peer Review Status:Awaiting Review
Subjects: Management Science >> Management Engineering submitted time 2022-07-03
Abstract：
[Purpose/significance]The development of Internet communication has brought more fierce competition for the promotion and marketing of mobile app products, and the induced advertising marketing model has gradually been respected by app manufacturers. Exploring the impact of the design of APP induced advertising elements on users' willingness to use app will help app manufacturers choose an appropriate product marketing model and expand downloads and usage. [Method/process]Based on the technology acceptance model and perceived risk theory, a prototype of simulated app induced advertising web page was developed by experimental method to reproduce the whole process from Click to download, embedded in the questionnaire to collect data, and analyzed the data by structural equation model method. [Results/Conclusion]Four design factors of APP induced advertising are defined through coding and clustering: necessary reminder, clarity of reminder, installation options and consistency between advertising and app. The study found that users' perceived risk of APP induced advertising will reduce app use intention, and users' satisfaction with app induced advertising will improve users' app use intention; Four app induced advertising design factors will improve users' willingness to use app to varying degrees.
Peer Review Status:Awaiting Review
Subjects: Management Science >> Regional Economic Management Subjects: Management Science >> Management Engineering submitted time 2021-10-11
Abstract： Building a world-class city cluster in the Guangdong-Hong Kong-Macao Greater Bay Area is not only the primary strategy of the development plan for the Guangdong-Hong Kong-Macao Greater Bay Area, but also a clear task set forth in the National 14th Five-Year Plan. The urban agglomerations in the Guangdong-Hong Kong-Macao Greater Bay Area should give full play to the agglomeration effect, build a higher-level value creation community in the global value chain, and become an important space carrier for my country to participate in global economic competition and co-operation. From the historical logic point of view, the construction of the urban agglomeration in the Guangdong-Hong Kong-Macao Greater Bay Area takes the construction of a new pattern of comprehensive opening as the fundamental direction. "An evolutionary footnote. From the perspective of theoretical logic, economic agglomeration and coordinated development are important propositions for urban agglomerations in the Guangdong-Hong Kong-Macao Greater Bay Area. We should focus on leveraging scale effects, eliminating agglomeration shadows, and enhancing knowledge spillovers to improve agglomeration economic performance. From the perspective of practical logic, centering on the theme of building urban ag-glomeration value co-creation, the three main lines of differentiated coordinated development, innovation-driven development and market integrated development can be used to promote the effect of urban agglomeration and achieve the goal of world-class urban agglomeration construction.
Peer Review Status:Awaiting Review
Subjects: Management Science >> Management Engineering submitted time 2021-07-16
Abstract： "
Peer Review Status:Awaiting Review
Subjects: Geosciences >> Geography Subjects: Management Science >> Management Engineering submitted time 2021-06-09
Abstract： This article proposes a matheuristic algorithm for the single-source facility location problem (SSCFLP) and its variants: SSCFLP with K facilities (SSCKFLP), SSCFLP with connective service areas (CFLSAP), and SSCFLP with K facilities and connective service areas (CKFLSAP). The algorithm starts from an initial solution, and then iteratively improves the solution by searching large-scale neighborhood of current solution. The neighborhood is defined by determining a subset of candidate facilities and a subset of customers: (1) randomly select a customer; (2) select Q nearest facilities and their customers from the current solution; (3) select nearest candidate facilities of all the customers; and (4) randomly drop some candidate facilities if too many facilities are selected in previous step. The size of neighborhood is critical to the performance of the algorithm: it is hard to solve an extra-large neighborhood and it is difficult to find a better solution in a small neighborhood. The value of Q is suggested according to the number of facilities in current solution. The current solution might be improved by finishing the following steps: (1) formulate a sub-problem model using the selecting facilities and customers; (2) solve the model and update the current solution using sub-problem solution; and (3) for CFLSAP or CKFLSAP, repair the non-connective service areas, and improve solution with local search operators. Two set of instances were generated to test the algorithm. Experimentation shows that the instances of SSCFLP and its variant problems can be solved by the proposed matheuristic algorithm effectively and efficiently. The solutions found by the proposed algorithm approximate optimal solutions or the lower bounds with average gaps of 0.01% for SSCFLP, 0.22% for CFLSAP, 0.00% for SSCKFLP, and 0.08% for CKFLSAP. Solution results show that the solution objective would be slightly increased by adding the contiguity constraints on SSCFLP or SSCKFLP. The optimal facility locations of SSCFLP/SSCKFLP might be different from those of CFLSAP/CKFLSAP. " "
Peer Review Status:Awaiting Review
Subjects: Management Science >> Management Engineering submitted time 2021-03-03
Abstract： " "
Peer Review Status:Awaiting Review
Subjects: Management Science >> Management Engineering submitted time 2021-01-21
Abstract： The application of Unmanned aerial vehicles (UAVs) in both civilian and military domains is drawing increasing attention recently. This paper investigates a new routing problem of small UAVs for information collection, where UAVs can be recharged at platforms (ground vehicles or stations) distributed in the area. Different from the previous works on UAV routing, the UAVs are allowed to partially recharge their batteries according to the requirement in the following route. A mixed integer nonlinear programming model is developed to formulate the problem, where both the overall time for completing all targets’ observation and the number of UAVs are minimized. An improved adaptive large neighborhood search (ALNS) algorithm with simulated annealing criterion is designed, and a recharging platform insertion heuristic is developed to determine the recharging strategy and construct feasible solutions. To verify the effectiveness of the proposed ALNS algorithm, a set of new benchmark instances are designed based on the well-known Solomon dataset and solved. The computational results are compared with those obtained by the ant colony optimization and variable neighborhood search, which shows that ALNS performs significantly better and stable. Furthermore, analysis of the experimental results indicates that many advantages can be obtained through introducing the recharging strategy for small UAVs. "
Peer Review Status:Awaiting Review
Subjects: Mathematics >> Applied Mathematics Subjects: Management Science >> Management Engineering Subjects: Information Science and Systems Science >> Other Disciplines of Information Science and Systems Science submitted time 2020-03-31
Abstract： The goal of this paper is to establish the general framework of consensus equilibria for Mining-Pool Games in Blockchain Ecosystems, and in particular to explain the stable in the sense for the existence of consensus equilibria related to mining gap game’s behaviors by using one new concept called “consensus games (CG)” in Blockchain Ecosystems, here, the Blockchain ecosystem mainly means the economic activities by taking into the account of three types of different factors which are expenses, reward mechanism and mining power for the work on blockschain by applying the key consensus called “Proof of Work” due to Nakamoto in 2008. In order to do so, we first give an outline how the general existence of consensus equilibria for Mining-Pool Games is formulated, and then used to explain the stable for Gap Games for Bitcoin in the sense by the existence of consensus equilibria under the framework of Blockchain consensus, we then establish a general existence result for consensus equilibria of general mining gap games by using the profit functions for miners as the payoffs in game theory.As applications, the general existence results for consensus equilibria of Gap games are established, which not only help us to claim the existence for the general stability for Gap games under the general framework of Blockchain ecosystems, but also allow us to illustrate a number of different phenomenons on the study of mining-pool games with possible impacts due to miners’ gap behaviors with scenarios embedded in Bitcoin economics. Our study on the explanation for the stability of mining gap game for Blockchain ecosystems shows that the concept of consensus equilibria may play a important role for the development of fundamental theory for consensus economics.
Peer Review Status:Awaiting Review
Hits
Hits
Downloads
Comment