{"id":962,"date":"2023-08-21T23:54:40","date_gmt":"2023-08-21T20:54:40","guid":{"rendered":"http:\/\/www.etimm.ase.ro\/?p=962"},"modified":"2023-08-21T23:57:14","modified_gmt":"2023-08-21T20:57:14","slug":"a-bundle-pricing-approach-for-mobile-telecommunication-services-method-and-data-analysis","status":"publish","type":"post","link":"https:\/\/www.etimm.ase.ro\/?p=962","title":{"rendered":"A Bundle Pricing Approach for Mobile Telecommunication Services: Method and Data Analysis"},"content":{"rendered":"<h4>\n<span style=\"font-size:12px;\"><span style=\"font-family: georgia,serif;\"><strong>Title<\/strong><\/span><\/span><\/h4>\n<p style=\"text-align: justify;\">\n<span style=\"font-size:12px;\"><span style=\"font-family: georgia,serif;\"><meta name=\"citation_title\" content=\"A Bundle Pricing Approach for Mobile Telecommunication Services: Method and Data Analysis\">A Bundle Pricing Approach for Mobile Telecommunication Services: Method and Data Analysis<\/span><\/span><\/p>\n<h4>\n<span style=\"font-size:12px;\"><span style=\"font-family: georgia,serif;\"><strong>Author<\/strong><\/span><\/span><\/h4>\n<p style=\"text-align: justify;\">\n<span style=\"font-size:12px;\"><span style=\"font-family: georgia,serif;\"><meta name=\"citation_author\" content=\"Marjan Izadpanah\">Marjan Izadpanah, <meta name=\"citation_author\" content=\"Ali Vaezi\">Ali Vaezi<\/span><\/span><\/p>\n<p><span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><meta name=\"citation_publication_date\" content=\"2023\/08\/21\"><meta name=\"citation_journal_title\" content=\"Journal of Emerging Trends in Marketing and Management\"><meta name=\"citation_volume\" content=\"I\"><meta name=\"citation_issue\" content=\"3\"><meta name=\"citation_firstpage\" content=\"7\"><meta name=\"citation_lastpage\" content=\"25\"><meta name=\"citation_place_published\" content=\"Bucharest, Romania\"><meta name=\"citation_publisher\" content=\"The Bucharest University of Economic Studies Publishing House\"><meta name=\"citation_issn\" content=\"2537-5865\"><\/span><\/span><\/p>\n<h4>\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><strong>Classification JEL <\/strong><\/span><\/span><\/h4>\n<p style=\"text-align: justify;\">\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><meta name=\"citation_classification_jel\" content=\"M10, M21, M30.\">M10, M21, M30.<\/span><\/span><\/p>\n<h4>\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><strong>Abstract<\/strong><\/span><\/span><\/h4>\n<p style=\"text-align: justify;\">\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><meta name=\"citation_abstract\" content=\"The bundling of goods\/services is a technique many firms use to influence product demand, generate higher revenues, and enhance consumer surplus. In the telecommunications industry, offering incentive bundles of different mobile phone services is an effective technique to reach such goals in a competitive market. This paper presents a bundle pricing approach for mobile services, which determines the optimal content of service bundles in terms of the type and number of services offered to different customer segments. The proposed model aims to maximize the total firm's revenue and total consumer surplus, as the main mobile service operator's objectives. The model recognizes differential pricing as a useful tool in revenue management. First, an efficient segmentation of customers in terms of their taste and willingness to pay for different mobile services is conducted using the k-means clustering technique. Next, to handle customer buying behavior, the customer reservation price is considered based on the customers' arrival rates and their statistical distribution. Finally, the bundles' content and prices are optimized considering the type and number of services offered to different segments. Our computational experiments using sample data show the effectiveness of the proposed model toward the improvement of revenue as well as consumer surplus.\">The bundling of goods\/services is a technique many firms use to influence product demand, generate higher revenues, and enhance consumer surplus. In the telecommunications industry, offering incentive bundles of different mobile phone services is an effective technique to reach such goals in a competitive market. This paper presents a bundle pricing approach for mobile services, which determines the optimal content of service bundles in terms of the type and number of services offered to different customer segments. The proposed model aims to maximize the total firm&#8217;s revenue and total consumer surplus, as the main mobile service operator&#8217;s objectives. The model recognizes differential pricing as a useful tool in revenue management. First, an efficient segmentation of customers in terms of their taste and willingness to pay for different mobile services is conducted using the k-means clustering technique. Next, to handle customer buying behavior, the customer reservation price is considered based on the customers&#8217; arrival rates and their statistical distribution. Finally, the bundles&#8217; content and prices are optimized considering the type and number of services offered to different segments. Our computational experiments using sample data show the effectiveness of the proposed model toward the improvement of revenue as well as consumer surplus.<\/span><\/span><\/p>\n<h4>\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><strong>Keywords<\/strong><\/span><\/span><\/h4>\n<p style=\"text-align: justify;\">\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><meta name=\"citation_Keywords\" content=\"Bundling, Telecommunication industry, Differential pricing, Consumer surplus, k\u2013means clustering.\">Bundling, Telecommunication industry, Differential pricing, Consumer surplus, k\u2013means clustering.<\/span><\/span><\/p>\n<h4>\n<span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><strong>Full Text: <meta name=\"citation_pdf_url\" content=\"http:\/\/www.etimm.ase.ro\/RePEc\/aes\/jetimm\/2023\/JETIMM_V03_2023_74.pdf\"><a href=\"http:\/\/www.etimm.ase.ro\/RePEc\/aes\/jetimm\/2023\/JETIMM_V03_2023_74.pdf\" target=\"_blank\" rel=\"noopener\"><span style=\"color: rgb(0, 0, 205);\">download pdf<\/span><\/a><\/strong><\/span><\/span><\/h4>\n<p><span style=\"font-family:georgia,serif;\"><span style=\"font-size:12px;\"><strong>Cite: <a href=\"http:\/\/www.etimm.ase.ro\/RePEc\/aes\/jetimm\/2023\/JETIMM_V03_2023_74.ris\" target=\"_blank\" rel=\"noopener\"><span style=\"color: rgb(255, 0, 0);\">download citation<\/span><\/a> (for EndNote, Reference Manager, ProCite)<\/strong><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Title A Bundle Pricing Approach for Mobile Telecommunication Services: Method and Data Analysis Author Marjan Izadpanah, Ali Vaezi Classification JEL M10, M21, M30. Abstract The bundling of goods\/services is a technique many firms use to influence product demand, generate higher revenues, and enhance consumer surplus. In the telecommunications industry, offering &hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_ef_editorial_meta_date_first-draft-date":"","_ef_editorial_meta_paragraph_assignment":"","_ef_editorial_meta_checkbox_needs-photo":"","_ef_editorial_meta_number_word-count":"","footnotes":""},"categories":[30],"tags":[],"coauthors":[18],"class_list":["post-962","post","type-post","status-publish","format-standard","hentry","category-jetimm_2023"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=\/wp\/v2\/posts\/962","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=962"}],"version-history":[{"count":1,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=\/wp\/v2\/posts\/962\/revisions"}],"predecessor-version":[{"id":964,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=\/wp\/v2\/posts\/962\/revisions\/964"}],"wp:attachment":[{"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=962"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=962"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=962"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.etimm.ase.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fcoauthors&post=962"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}