Optimal pricing and capacity sizing for online service systems with free trials

OR Spectrum ◽  
2021 ◽  
Author(s):  
Jinting Wang ◽  
Ke Sun
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lei Li ◽  
Shaojun Ma ◽  
Xu Han ◽  
Chundong Zheng ◽  
Di Wang

PurposeBig data analytics (BDA) and machine learning (ML) can be used to identify the influencing factors of online service supply chains (OSSCs) and can help in the formulation of optimal pricing strategies. This paper analyzes the influencing factors of customer online shopping from the demand-side perspective and formulates optimal pricing strategies from the supply-side perspective.Design/methodology/approachThis paper uses ML and the Stackelberg game approach to discuss OSSC management. ML's feature selection algorithm is used to identify the important influencing factors of 12,330 customers' online shopping intention data using four different classifiers. The Stackelberg game approach is used to analyze the pricing strategies of integrators and suppliers in OSSCs.FindingsFirst, the feature selection algorithm can improve the efficiency of optimization in big data samples of OSSCs. Second, the level of visualization and the quality of information (page value) will affect the purchase behavior of customers. Finally, the relationship between the optimal pricing and the level of visualization is obtained through the Stackelberg game approach.Practical implicationsThis paper reveals the phenomenon of “mystery customers,” and the results of this paper can provide insights and suggestions regarding the decision-making behavior of integrators and suppliers in OSSC management.Originality/valueConsidering customer behavior intention, this paper uses a data-driven method to explore the influencing factors and pricing strategies of OSSCs. The empirical results enrich the existing OSSC management research, proposing that the level of product visualization and information quality plays an important role in OSSCs.


2020 ◽  
Vol 11 (1) ◽  
pp. 88
Author(s):  
Khaerun Nadhor ◽  
Nur Fatoni ◽  
Nurudin Nurudin ◽  
Faris Shalahuddin Zakiy

<p><em>Taxes are the largest source of state revenue, which is around 70%, so the government tries to increase tax revenues as much as possible by making policies that can later attract people to pay taxes. One of the government's policies is to reduce the final tax rate for public entrepreneurs, which is expected to make public entrepreneurs obedient to pay taxes. And take advantage of technological developments by conducting online tax services both in registration, reporting and tax payment. This study aims to determine the effect of decreasing MSME tax rates and online service systems on taxpayers 'perceptions of MSME taxpayers' compliance that are registered at the West Semarang KPP either partially or simultaneously. This research is quantitative research. The study population is a UMKM taxpayer registered at the West Semarang KPP. The sample was selected using the probability sampling method, which determines a random sample by taking 98 respondents as samples in this study. Data collection method is by field study. Test the feasibility of data on data taken using the validity and reliability test. Hypothesis testing uses multiple linear regression models, so it needs to be held a classic assumption test on the research data obtained. The results of the multiple linear regression test for the variable reduction in MSME tax rates and online service systems have a significant effect on taxpayers' perceptions of MSME taxpayer compliance, both simultaneously and partially.</em><em></em></p><p class="IsiAbstractBahasaInggris"><em> </em><em></em></p>


2021 ◽  
Author(s):  
Nengwen Zhao ◽  
Honglin Wang ◽  
Zeyan Li ◽  
Xiao Peng ◽  
Gang Wang ◽  
...  

2019 ◽  
Vol 2 (2) ◽  
pp. 144-151
Author(s):  
Ailani Almira Hartono Putri ◽  
Indrawati Yuhertiana ◽  
Devy Sylvia Puspitasari

This study aims to explore in depth the application of the online system of payment of land and building tax (PBB). The research location is in a government office, the Surabaya City Financial and Tax Management Board (BPKPD). This study uses a qualitative method. Interviews were conducted with the intended informants, namely the Surabaya City BPKPD as the tax authorities, and also the citizen as Taxpayers (WP). Miles Huberman's approach is used to analyze data. Stages of research include data collection, then reduced, presented and verified, so as to obtain valid conclusions. Informants are chosen based on the information needs needed by researchers. It can be concluded that the web display of online tax payment services is considered attractive and able to optimize public services. Online service brainware factor namely Human Resources (HR) plays an important role in realizing online services. The hardware factor in the online system is quite good using a good computer, but the internet connection is complained about being slow. Online tax payments that can be done through ATMs and m-banking at three banks in collaboration with the Surabaya City BPKPD are still complained of being convoluted by taxpayers. Fear of making payments online makes taxpayers still pay cash at the teller. The changing of service systems from offline to online requires time for the community to adapt.


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