The article deals with the problem of determining market boundaries for antitrust law enforcement in the field of telecommunications. An empirical approach has been proposed for determining the product boundaries of the market in the area of mass distribution of messages, taking into account the comparative characteristics of the types and methods of notification (informing) of end users; the possibilities of switching from one way of informing to another, including the evolution of such opportunities under the influence of technological changes; switching between different notification methods. Based on the use of surveys of customers of sending SMS messages, it is shown that the product boundaries should include not only sending messages via SMS, but also e-mail, instant messengers, Push notifications and voice information. The paper illustrates the possibilities of applying the method of critical loss analysis to determining the boundaries of markets based on a mixture of surveys and economic modeling.
The agricultural sector has an important role in supporting the Indonesian economy. But on the other hand, sometimes many community groups do not benefit due to problems that arise because the distribution chain of agricultural products are long enough, especially for farmers and consumers (end users). Of course the situation must be improved, so that the agricultural products of Indonesia can be enjoyed by consumers or farmers with proper. One of its efforts is by establishing an e-commerce based e-commerce system in agriculture. E-commerce based ecommerce system can be used as an alternative for farmers, used as a media campaign, communication and information and can cut the distribution chain of agricultural products marketing. The benefits felt by farmers and consumers directly and indirectly give a positive influence, especially from the broader marketing channels of agricultural products can increase production demand and spur the procurement of production among farmers and also the price offered to consumers will be cheaper so that sales in agricultural products can be more increased and profitable for farmers
Pengaruh Personal Selling dan Event Marketing menjadi salah satu strategi yang cukup efektif guna menarik minat siswa SMA/SMK untuk kemudian memutuskan melanjutkan studi lanjut. Tujuan penelitian ini adalah, (1) Untuk mengetahui pengaruh personal selling terhadap minat studi lanjut SMA/SMK pada Insitut Bisnis dan Informatika Kesatuan, (2) Untuk mengetahui pengaruh event marketting terhadap minat studi lanjut SMA/SMK pada Insitut Bisnis dan Informatika Kesatuan, (3) Untuk mengetahui pengaruh Personal Selling dan Event Marketing secara bersama-sama terhadap minat studi lanjut SMA/SMK pada Insitut Bisnis dan Informatika Kesatuan. Jumlah responden penelitian ini berjumlah 100 orang sebagai sampel penelitian yang terdiri dari end users yang merupakan siswa/i yang berada di daerah Kota Bogor dan Kabupaten Bogor, data penelitian diolah menggunakan software SPSS for Windows 21. Berdasarkan hasil analisis dan pembahasan dapat disimpulkan bahwa: (1) Personal Selling berpengaruh terhadap Minat Studi Lanjut, (2) Event Marketing tidak Berpengaruh Terhadap Minat Studi Lanjut, (3) Personal Selling dan Event Marketing berpengaruh secara bersama-sama terhadap minat studi lanjut. Berdasarkan hasil analisis data diperoleh persamaan regresi linier berganda sebagai berikut: Y=14,859 + 0,289 X1 + 0,87 X2 + error, ini berarti bahwa variabel Personal Selling (X1), Event Marketing (X2) memiliki efek yang positif pada variabel Minat Studi Lanjut SMA/SMK.
Key Words : Personal Selling, Event Marketing, Minat Studi Lanjut
Numerous E – Migrants databases assist the migrants to locate their peers in various countries; hence contributing largely in communication of migrants, staying overseas. Presently, these traditional E – Migrants databases face the issues of non – scalability, difficult search mechanisms and burdensome information update routines. Furthermore, analysis of migrants’ profiles in these databases has remained unhandled till date and hence do not generate any knowledge.
To design and develop an efficient and multidimensional knowledge discovery framework for E - Migrants databases.
In the proposed technique, results of complex calculations related to most probable On-Line Analytical Processing operations required by end users, are stored in the form of Decision Trees, at the pre- processing stage of data analysis. While browsing the Cube, these pre-computed results are called; thus offering Dynamic Cubing feature to end users at runtime. This data-tuning step reduces the query processing time and increases efficiency of required data warehouse operations.
Experiments conducted with Data Warehouse of around 1000 migrants’ profiles confirm the knowledge discovery power of this proposal. Using the proposed methodology, authors have designed a framework efficient enough to incorporate the amendments made in the E – Migrants Data Warehouse systems on regular intervals, which was totally missing in the traditional E – Migrants databases.
The proposed methodology facilitate migrants to generate dynamic knowledge and visualize it in the form of dynamic cubes. Applying Business Intelligence mechanisms, blending it with tuned OLAP operations, the authors have managed to transform traditional datasets into intelligent migrants Data Warehouse.
PurposeThe purpose of this paper is to analyze cloud reviews according to the end-user context and requirements.Design/methodology/approachpropose a comprehensive knowledge base composed of interconnected Web Ontology Language, namely, modular ontology for cloud service opinion analysis (SOPA). The SOPA knowledge base will be the basis of context-aware cloud service analysis using consumers' reviews. Moreover, the authors provide a framework to evaluate cloud services based on consumers' reviews opinions.FindingsThe findings show that there is a positive impact of personalizing the cloud service analysis by considering the reviewers' contexts in the performance of the framework. The authors also proved that the SOPA-based framework outperforms the available cloud review sites in term of precision, recall and F-measure.Research limitations/implicationsLimited information has been provided in the semantic web literature about the relationships between the different domains and the details on how that can be used to evaluate cloud service through consumer reviews and latent opinions. Furthermore, existing approaches are lacking lightweight and modular mechanisms which can be utilized to effectively exploit information existing in social media.Practical implicationsThe SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.Originality/valueThe SOPA ontology is capable of representing the content of a product/service as well as its related opinions, which are extracted from the customer's reviews written in a specific context. Furthermore, the SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.
Abstract. We describe a Web-GIS wildfire prevention and management platform (AEGIS) developed as an integrated and easy-to-use decision support tool to manage wildland fire hazards in Greece (http://aegis.aegean.gr). The AEGIS platform assists with early fire warning, fire planning, fire control and coordination of firefighting forces by providing online access to information that is essential for wildfire management. The system uses a number of spatial and non-spatial data sources to support key system functionalities. Land use/land cover maps were produced by combining field inventory data with high-resolution multispectral satellite images (RapidEye). These data support wildfire simulation tools that allow the users to examine potential fire behavior and hazard with the Minimum Travel Time fire spread algorithm. End-users provide a minimum number of inputs such as fire duration, ignition point and weather information to conduct a fire simulation. AEGIS offers three types of simulations, i.e., single-fire propagation, point-scale calculation of potential fire behavior, and burn probability analysis, similar to the FlamMap fire behavior modeling software. Artificial neural networks (ANNs) were utilized for wildfire ignition risk assessment based on various parameters, training methods, activation functions, pre-processing methods and network structures. The combination of ANNs and expected burned area maps are used to generate integrated output map of fire hazard prediction. The system also incorporates weather information obtained from remote automatic weather stations and weather forecast maps. The system and associated computation algorithms leverage parallel processing techniques (i.e., High Performance Computing and Cloud Computing) that ensure computational power required for real-time application. All AEGIS functionalities are accessible to authorized end-users through a web-based graphical user interface. An innovative smartphone application, AEGIS App, also provides mobile access to the web-based version of the system.
Chemical pollution of water bodies is a complex problem around the globe. When described by the extremes of the range of problem definitions, water bodies can be chemically polluted by a single compound that is emitted from a point source or an incidental spill, or by chronic diffuse emissions from local and upstream land uses. The resulting mixture exposures can vary in space and time, e.g. due to the use of pesticides in the crop growing season. The environmental management objectives are commonly to protect and restore surface waters against human influences. Currently, chemical pollution is globally judged for a selected set of compounds, by judging each of these individually in comparison with protective environmental quality standards. Research has provided a novel assessment paradigm (solution-focused risk assessment) and novel data, measurement methods and models to improve on current practices. Their adoption and application require establishing novel linkages between the diverse problem definitions and the novel approaches. That would assist water quality professionals to select the most effective option or options to protect and restore water quality. The present paper introduces the RiBaTox (River Basin Specific Toxicants assessment and management) web tool. It consists of short descriptions of the novel approaches (made available as Additional file 1) and a decision tree for end-users to select those. The overview of novel approaches collated in RiBaTox is relevant for end-users ranging from local water quality experts up till strategic policy developers. Although RiBaTox was developed in the context of European water quality problems, the methods provided by RiBaTox are relevant for users from (inter)national to local scales. This paper is part of a series of Policy Briefs from the EU-FP7 project SOLUTIONS (http://www.solutions-project.eu), which provide backgrounds on chemical pollution of surface waters and policy practices and proposed improvements.