Signaling Game in CI Activity

2014 ◽  
Vol 926-930 ◽  
pp. 4081-4084
Author(s):  
Hai Dong Yu

CI activity coordination can be probably achieved by adjusting the spending ratio scale, which will economize payoff and regulate information service providers decision. The paper revealed that heterogeneity between the two information service providers through a signaling game model in which signal set was the combine of CI quality standard term. The result shows that a quality standard about CI should be designed in contract which provides a signal for information service provider to self-certify its own true type and is in favor of screening for enterprise. It also gave a simulation example to illustrate the implementation mechanism.

2010 ◽  
Vol 121-122 ◽  
pp. 360-363
Author(s):  
Hai Dong Yu ◽  
Fang Liu ◽  
Yun Feng Luo

The paper researched the screening model in enterprise competitive intelligence activity based on game theory. It studied the service provider’s decision in competitive intelligence(CI) project and proved it could be satisfied with Bayesian Nash equilibrium. It also revealed the heterogeneity between the service providers through a signaling game model in which signal set was the combine of CI quality standard term. The result shows that a quality standard about CI should be designed in contract which provides a signal for service provider to self-certify its own true type and is in favor of screening for enterprise.


Author(s):  
Yu Lei ◽  
Duan Yucong

Data, information, knowledge, and wisdom forms a progressive relationship. Information is formed by data collation. Knowledge is filtered, refined, and processed from relevant information. Wisdom is based on knowledge and is accumulated through experience. This paper uses the progressive relationship of service data, information, knowledge, and wisdom to explain the expression of service knowledge graph. It is an increasingly challenging demand to discover trusted Cloud service providers with service data, information, and knowledge. We propose an efficient method of trusted service provider discovery based on service knowledge graphs, called PDG (Provider Discovery based on Graphs), to ensure that each service instance of composite services in Cloud systems is trustworthy. PDG evaluates the outputs of service providers in service classes with the help of additional service information. According to the additional service information, service knowledge is generated and trusted service providers can be found easily. PDG improves the accuracy of processing results by automatically replacing data provided by untrusted service providers with results provided by trusted service providers.


2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Swati Ganeti ◽  
Rajat Agarwal ◽  
Murali Krishna Medudula ◽  
Mahim Sagar

Telecom industry is one of those industries which has changed dramatically during the past decade. With more and more players entering in this industry, competition is ever increasing. The war between these players is slowly shifting from the price to the augmentation. This paper aims at exploring such factors which influence a customers preference of one telecom service provider (TSP) over the other. It is a descriptive research where study has been conducted among the consumers of different telecom service providers (TSPs). By reviewing the existing literature in this domain, we explored different factors which affect the consumers decision to prefer one telecom service provider over the other. A consumer targeted questionnaire was designed where consumers were asked about the factors they consider (with their relative importance quantified using Likert scale), before buying a new network connection to know the relative importance of the various factors. Factor Analysis was performed to club various variables into distinct factors. Statistical techniques then helped in identifying the relative importance. From the Factor Loading matrix the following five factors were generated:- Overall service quality, Point of Purchase Differentiator, Promotion Measures, Tariff Plans and Size of the Network. Further study in the behavioural perceptions of consumer shows that the most important factor in influencing the customer buying behavior is Service Quality. The second most important factor is cost and various plans offered by the telecom service provider. Network connectivity was considered by almost all the respondents and consumers prefer the largest network player. The study also found that promotional measures dont influence the customers as expected.


2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Claire Chabut ◽  
Jean-François Bussières

Abstract Objectives Several societies have published guidelines to limit the occupational exposure of workers. Several of these guidelines recommend periodic (once or twice a year) environmental monitoring of specific sites where antineoplastic drugs are prepared and administered. However, most of the guidelines provide no guidance concerning which antineoplastic drugs should be monitored, the preferred sampling sites, appropriate test methods or limits of detection. The aim of this study was to characterize providers that quantify antineoplastic drug measured on surfaces. Methods This was a cross-sectional descriptive study. To identify service providers offering environmental monitoring tests, we searched the PubMed database and used the Google search engine. We contacted each service provider by email between June 3rd and June 15th, 2020. We specified the objective of our study and described the information needed and the variables of interest with standardized questions. Additional questions were sent by emails or via teleconferences. No statistical analyses were performed. Results We identified six providers offering services to Canadian hospitals, either based in Canada or in the United States. Five of these providers were private companies and one was a public organization. Each service provider was able to measure trace contamination of 3–17 antineoplastic drugs. Five of the providers quantified drugs using ultra performance liquid chromatography coupled with tandem mass spectrometry (UPLC-MSMS), which allowed for lower LODs. The sixth provider offered quantification by immunoassay, which has higher LODs, but offers near real-time results; the surface area to be sampled with this method was also smaller than with UPLC-MSMS. The services offered varied among the service providers. The information about LODs supplied by each provider was often insufficient and the units were not standardized. A cost per drug quantified could not be obtained, because of variability in the scenarios involved (e.g. drug selection to be quantified, number of samples, nondisclosure of ancillary costs). Four of the six service providers were unable to report LOQ values. Conclusions Few data are available from Canadian service providers concerning the characteristics of wipe sampling methods for antineoplastics. This study identified six north-American providers. Their characteristics were very heterogeneous. Criteria to consider when choosing a provider include the validation of their analytical method, a low limit of detection, the choice of drugs to be quantified and the sites to be sampled, obtaining details about the method and understanding its limits, and price. This should be part of a structured multidisciplinary approach in each center.


2020 ◽  
Vol 11 (1) ◽  
pp. 91
Author(s):  
Xiaoyu Ma ◽  
Jihong Zhang ◽  
Yuan Cao ◽  
Zhou He ◽  
Jonas Nebel

Rapidly increasing mobile data traffic have placed a significant burden on mobile Internet networks. Due to limited network capacity, a mobile network is congested when it handles too much data traffic simultaneously. In turn, some customers leave the network, which induces a revenue loss for the mobile service provider. To manage demand and maximize revenue, we propose a dynamic plan control method for the mobile service providers under connection-speed-restriction pricing. This method allows the mobile service provider to dynamically set the data plans’ availability for potential customers’ new subscriptions. With dynamic plan control, the service provider can adjust data network utilization and achieve high customer satisfaction and a low churn rate, which reflect high service supply chain performance. To find the optimal control policy, we transform the high-dimensional dynamic programming problem into an equivalent mixed integer linear programming problem. We find that dynamic plan control is an effective tool for managing demand and increasing revenue in the long term. Numerical evaluation with a large European mobile service provider further supports our conclusion. Furthermore, when network capacity or potential customers’ willingness to join the network changes, the dynamic plan control method generates robust revenue for the service provider.


2013 ◽  
Vol 47 (6) ◽  
pp. 524-535 ◽  
Author(s):  
Antonio Miguel Cruz ◽  
Adriana Maria Rios Rincon ◽  
Gregory L. Haugan

The aims of this paper are (1) to identify the characteristics of maintenance service providers that directly impact maintenance service quality, using 18 independent covariables; (2) to quantify the change in risk these covariables present to service quality, measured in terms of equipment turnaround time (TAT). A survey was applied to every maintenance service provider (n = 19) for characterization purposes. The equipment inventory was characterized, and the TAT variable recorded and monitored for every work order of each service provider (N = 1,025). Finally, the research team conducted a statistical analysis to accomplish the research objectives. The results of this study offer strong empirical evidence that the most influential variables affecting the quality of maintenance service performance are the following: type of maintenance, availability of spare parts in the country, user training, technological complexity of the equipment, distance between the company and the hospital, and the number of maintenance visits performed by the company. The strength of the results obtained by the Cox model built are supported by the measure of the Rp,e2 = 0.57 with a value of Rp,e= 0.75. Thus, the model explained 57% of the variation in equipment TAT, with moderate high positive correlation between the dependent variable (TAT) and independent variables.


2016 ◽  
Vol 4 (18) ◽  
pp. 9
Author(s):  
Roman Matyáš ◽  
Andrej Novák

Modern technologies and portable devices are part of our everyday lives almost two decades. This article describes how Aeronautical Information Service providers in Central Europe utilize modern technologies in the communication interface with general aviation pilots.


2019 ◽  
Vol 12 (2) ◽  
pp. 111
Author(s):  
Elizabeth Anastasia ◽  
Dwi Sekar Ningrum ◽  
William Marthianus ◽  
Willis Patrick Onggo

Negative Option Method is a bidding method that requires confirmation from consumers in accepting or rejecting an offer. If the customer doesn’t provide confirmation, the business actor assumes that the consumer agrees and will be charged a fee for the offer given. The Negative Option method originating from the United States has actually developed in Indonesia, especially in the provision of telecommunications services. It is not uncommon for Telecommunications Service Providers in Indonesia to offer a particular feature that requires confirmation of rejection or cancellation from consumers via message, such as "unreg". If the consumer does not provide confirmation, the business actor will unilaterally assume that the Customer has accepted the offer, thus often resulting in the consumer experiencing financial losses due to the imposition of costs for goods and / or services without the consent of the consumer. This encourages the author to conduct legal research on consumer legal protection of the Negative Option bidding method using the normative juridical method. This legal research concludes that the Negative Option bidding method is contrary to the Minister of Communications Regulation Article 2 paragraph (3) and Article 4 paragraph (1) letter a which specifies that each Telecommunications Service Provider must obtain written and/or message approval from the Customer to activate a paid feature. If the Telecommunications Service Provider has not received approval from the Customer, then the paid feature must be stopped.


2021 ◽  
pp. 016555152110551
Author(s):  
Fang Wang

Insufficient examination of social factors obscures the reason why non-human information sources are under-utilised by social groups with lower information literacy. This study explores the mechanism of information source selection (ISS) of Chinese migrant farmer workers (MFWs) in different industries by conducting a cross-context analysis. After iterative analyses of multiple cases, a theoretical model of information source selection within an individual’s information world is constructed. It explains why MFWs make more use of social capitals than non-human information sources in information seeking. Besides, the information needs are examined form both the needed information and the need itself. A classification of social capital as human information source is created and the roles that social capitals and non-human information sources play in ISS are identified. This study provides novel theoretical insights into the ‘old’ issue of ISS, and thus has practical implications for public information service providers and MFW-related policy makers.


2021 ◽  
Author(s):  
Omkar Palsule-Desai ◽  
Vikrant Vaze ◽  
Gang Li ◽  
Srinagesh Gavirneni

The postpandemic world requires a renewed focus from service providers on ensuring that all customer segments receive the essential services (food, healthcare, housing, education, etc.) that they need. Philanthropic service providers are unable to cope with the increased demand caused by the social, economic, and operational challenges induced by the pandemic. For-profit service providers offering no-pay services to customers, allowing them to self-select a service option, is becoming a popular strategy in various settings. Obtaining insights into how to efficiently balance societal and financial goals is critical for a for-profit service provider. We develop and analyze a quantitative model of customer utilities, vertically differentiated product assortment, pricing, and market size to understand how service providers can effectively use customer segmentation and serve the poor in the lowest economic strata. We identify conditions under which designing the service delivery to be accessible to the poor can simultaneously benefit the for-profit service provider, customers, and the entire society. Interestingly, we observe that the increasing customer valuation of the no-pay option because of a superior quality service offered by a service provider need not benefit customers. Our work provides a framework to obtain operational, economic, and strategic insights into socially responsible service delivery strategies.


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