Digital Economy: Model for Optimizing the Industry Profit of the Cross-Platform Mobile Applications Market

Tregub, I. V.; Drobysheva, Nataliya; Tregub, Andrey

doi:10.1007/978-3-030-02351-5_3

Cited by 6 publications

(5 citation statements)

References 7 publications

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“…Currently, the market has more than three hundred organizations that develop services to provide subscribers with. The value of the Herfindahl-Hirschman index, calculated for the first fifty largest companies, does not http://journals.uob.edu.bh exceed one-tenth (HHI = 0.049 <0.100) [14], which indicates a high intensity of competition and a low concentration of the market for producers of additional mobile services.…”

Section: A Pricing Model For Cross-platform Applications For Mobile Devicesmentioning

confidence: 96%

“…They showed the optimal pricing strategy under the assumption of a monopolistic market model and in the case of a duopoly in a two-sided market with two platforms. This work is the development of approaches to the study of pricing processes in two-sided markets [11][12][13][14][15][16] concerning cross-platform applications developed for http://journals.uob.edu.bh mobile devices under the assumption of the oligopolistic market of mobile communication operators.…”

Section: Literature Reviewmentioning

confidence: 99%

“…At the same time, the mobile operators' market, represented by the three largest companies, the total share of which in the sector of additional mobile services exceeds 90.0 percent, is oligopolistic (HHI = 0.317> .200) [14].…”

Section: A Pricing Model For Cross-platform Applications For Mobile Devicesmentioning

confidence: 99%

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Pricing of Application in Two-Sided Markets

V.¹

2020

IJCDS

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The paper considers a two-sided market of mobile cross-platform applications. The most important elements of the market are identified.They comprise consumers of the first category who are simultaneously subscribers of a certain mobile communication operator; consumers of the second category that enter into agreements with platform manufacturers to obtain application development tools and mobile operators to ensure the operability of developed applications in the mobile operator networks; and platform-software or a mobile device in which applications can be used. The main distinction of the market under study is the interaction between the application producer and the consumer, which is always conducted not only using a certain platform but also through a certain mobile operator. The optimizing problem for the market equilibrium on the cross-platform applications market is formulated. The parametric pricing model on the two-sided mobile applications market is constructed. The pricing model takes into account the following factors: average analog price; functionality indicators; the convenience of use; the ratio between supply and demand for the product is based on the number of existing analogs; fame and prestige of the manufacturer; the number of operating systems on which the use of applications is possible.

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Section: A Pricing Model For Cross-platform Applications For Mobile Devicesmentioning

confidence: 96%

Section: Literature Reviewmentioning

confidence: 99%

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Pricing of Application in Two-Sided Markets

V.¹

2020

IJCDS

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“…E-metrics refers to customer behavior that is tracked electronically (e-customer behavior) [17]. As evidenced by the ability to present everything electronically, provide the technological era has brought about significant changes in society by providing convenience about how a customer behaves electronically and providing information that can be applied [18]. The number and frequency of merchants with Variants vary according to the type of business actor, especially in the digital space [19].…”

Section: E-metricsmentioning

confidence: 99%

A novel approach to optimizing customer profiles in relation to business metrics

Elveny,

Nasution,

Zarlis

et al. 2024

IJ-AI

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<span lang="EN-US">Business is very closely related to customers. Each user owns the data, and the data is used to identify cross-selling opportunities for each customer. For example, the type of product or service purchased, the frequency of purchases, geographic location, and so on. By doing so, you can gain the ability to manage and analyze customer data, allowing you to create new opportunities in industries that were previously difficult to enter. The purpose of optimizing user profiles is to determine minimum or maximum business value and improve efficiency by determining user needs. In this study, multivariate adaptive regression spline (MARS) is a statistical model used to explain the relationship between the response variable and the predictor variable. Robust is used to find variable relationships to make predictions. To improve classification performance, the model is validated using a confusion matrix. The results show an accuracy value of 84.5%, with better time management (period management) reflected in the number of hours spent by merchants as well as discounts during that time period, which has a significant impact on any business. In addition, the distance between customers and merchants is also important, as customers prefer merchants who are closer to them to save time and transportation costs.</span>

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“…The effect of soaking in various solutions on the thermal and mechanical properties of the pads was studied using DMA and MDSC [19]. Diffusion coefficients were then calculated [38,39]. The average weight gain of the pad specimens exposed to four different aqueous media followed the Fickian behavior [28], as shown in Fig.…”

Section: Slurry-pad Interactionsmentioning

confidence: 99%

Current and Future Challenges in CMP Materials

Moinpour

2007

Microelectronic Applications of Chemical Mechanical Planarization

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Chemical-mechanical polishing (CMP) has emerged as the premier technique for achieving both local and global planarizations in silicon integrated circuit (Si IC) manufacturing. With the transition of Si IC fabrication industry to using sub-half-micron devices in the late 1990s, the CMP market size has grown rapidly, from about $300-400 millions in 1997 to over $2 billions in 2002 and is predicted to be over $3 billions by 2008 [1]. Among the $3 billions, roughly half belongs to equipment related to CMP, such as polishers and metrology tools. The other half is associated with materials such as slurries and pads ( Fig. 2.1). Another recent market research study predicts the CMP slurry/ pad market size to be around $1.8 billions by 2009 presenting a CAGR of 16% and 17% for slurries and pads, respectively, driven primarily by the rise of copper CMP and transition to 300 mm wafer size (Fig. 2.2) [2]. Similar to other semiconductor sectors, the CMP community faces constant challenges in the identification, selection, characterization, and qualification of materials. They are vital to the success of implementing and sustaining the CMP processes in the ever-competitive global semiconductor manufacturing environment.To put the topic in perspective, the market size of the materials related to semiconductor manufacturing is now over 10 billions USD [3]. Among these key materials, the sum of CMP slurry and pad is over 11%, which is approaching the combination of photoresist and stripping chemicals (Fig. 2.3). On the one hand, this is a strong indication that CMP technology has become a Microelectronic Applications of Chemical Mechanical Planarization, Edited by Yuzhuo Li

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Digital Economy: Model for Optimizing the Industry Profit of the Cross-Platform Mobile Applications Market

Cited by 6 publications

References 7 publications

Pricing of Application in Two-Sided Markets

Pricing of Application in Two-Sided Markets

A novel approach to optimizing customer profiles in relation to business metrics

Current and Future Challenges in CMP Materials

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