<?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/" xmlns:cc="http://web.resource.org/cc/"> <channel rdf:about="https://www.dpublication.com/conference-proceedings/index.php/CONFERENCEME"> <title>Proceedings of the International Academic Conference on Management and Economics</title> <link>https://www.dpublication.com/conference-proceedings/index.php/CONFERENCEME</link> <description>&lt;p&gt;ISSN 3030-069X (Online)&lt;/p&gt; &lt;p&gt;The Proceedings of the International Academic Conference on Management and Economics (CONFERENCEME) include peer-reviewed papers from the International Academic Conference on Management and Economics. Conference Proceedings is intended to share knowledge in the field of Management and Economics.&lt;/p&gt; &lt;p&gt;&lt;a href=&quot;https://www.conferenceme.org/&quot;&gt;Learn more about the International Academic Conference on Management and Economics&lt;/a&gt;&lt;/p&gt;</description> <dc:publisher>Mokslinės Leidybos Deimantas (Diamond Scientific publishing)</dc:publisher> <dc:language>en-US</dc:language> <prism:publicationName>Proceedings of the International Academic Conference on Management and Economics</prism:publicationName> <prism:issn>3030-069X</prism:issn> <items> <rdf:Seq> <rdf:li rdf:resource="https://www.dpublication.com/conference-proceedings/index.php/CONFERENCEME/article/view/662"/> <rdf:li rdf:resource="https://www.dpublication.com/conference-proceedings/index.php/CONFERENCEME/article/view/637"/> </rdf:Seq> </items> </channel> <item rdf:about="https://www.dpublication.com/conference-proceedings/index.php/CONFERENCEME/article/view/662"> <title>Customer Satisfaction in the Telecom Industry: A Survey Research Approach</title> <link>https://www.dpublication.com/conference-proceedings/index.php/CONFERENCEME/article/view/662</link> <description>&lt;p&gt;The telecom sector is rapidly expanding and has enormous implications for the technological, economic, and social development of emerging countries like Albania. Furthermore, being one of the industries with the highest churn rates, assessing the customer satisfaction aspects of their customer base is deemed critical for their retention. As a result, the study intends to provide insights into the Albanian telecom market by focusing on package preferences, switching behavior, and indicators contributing to customer satisfaction. 103 usable surveys were collected by One Albania telecommunications company’s poll of former and active users, following a convenience sampling approach. Descriptive and inferential statistics are used to analyze the data and shed light on the research questions raised. The results of the study signify that each of the examined aspects — billing &amp;amp; payment, call quality, customer support, internet speed, network coverage, and pricing — is significantly and strongly associated with overall customer satisfaction in the telecommunications service context. Additionally, the findings demonstrate that the main driver of telecom users&#039; decision to switch is their perception of rival carriers&#039; cheaper pricing plans, which are followed by stronger and more dependable network signals. In terms of package preferences, the ‘monthly plan’ is the most prevalent option, while among the key features that comprise the packages, ‘data allowance’ is the most important aspect. The findings contribute to the body of knowledge on customer satisfaction in the telecom sector while providing a practical guide regarding the drivers of users’ switching behavior.&lt;/p&gt;</description> <dc:creator>Irisi Kasapi</dc:creator> <dc:rights> Copyright (c) 2024 Irisi Kasapi https://creativecommons.org/licenses/by/4.0 </dc:rights> <cc:license rdf:resource="https://creativecommons.org/licenses/by/4.0" /> <dc:date>2024-11-23</dc:date> <prism:publicationDate>2024-11-23</prism:publicationDate> <prism:volume>2</prism:volume> <prism:number>1</prism:number> <prism:startingPage>1</prism:startingPage> <prism:endingPage>15</prism:endingPage> <prism:doi>10.33422/conferenceme.v2i1.662</prism:doi> </item> <item rdf:about="https://www.dpublication.com/conference-proceedings/index.php/CONFERENCEME/article/view/637"> <title>Building the Framework of the InsurTech Ecosystem Business Model Canvas (IEBMC)</title> <link>https://www.dpublication.com/conference-proceedings/index.php/CONFERENCEME/article/view/637</link> <description>&lt;p&gt;The InsurTech ecosystem transcends becoming a collaborative network of interconnected archetypes of startups that create, deliver, and capture value in this dynamic and evolving industry. This paper explores the InsurTech dynamics of InsurTech firms, focusing on how they contribute to forming an ecosystem within the insurance industry. As a result, a significant research gap has been addressed by examining the InsurTech business archetypes and developing the InsurTech Ecosystem Business Model Canvas (IEBMC). For this purpose, multiple qualitative case studies have been employed to analyze the world&#039;s 400 most innovative InsurTech firms from 2020 to 2023, ensuring a representative dataset based on a global InsurTech landscape. This methodology provides a comprehensive understanding of the diverse roles and strategies that InsurTech firms adopt encapsulating the multifaceted approaches these firms employ as part of their value propositions within the insurance industry. This research identifies seven fundamental InsurTech archetypes - Innovator, Disruptor, Enabler, Connector, Protector, Integrator, and Transformer - each uniquely building the InsurTech ecosystem. The novel IEBMC framework presents a comprehensive perspective on how value is created, delivered, and captured, representing a scientifically derived framework and offering a structured approach to understanding and navigating the complex business dynamics of the insurance ecosystem. This framework, based on the findings of Osterwalder&#039;s doctoral dissertation, employs a design science approach to systematically analyze business models. It concludes by discussing the future of the InsurTech ecosystem and the dynamics of collaboration between these archetypes, emphasizing the risks of interconnectedness in navigating this rapidly evolving industry.&lt;/p&gt;</description> <dc:creator>Iván Sosa</dc:creator> <dc:creator>Sergio Sosa</dc:creator> <dc:rights> Copyright (c) 2024 Iván Sosa, Sergio Sosa https://creativecommons.org/licenses/by/4.0 </dc:rights> <cc:license rdf:resource="https://creativecommons.org/licenses/by/4.0" /> <dc:date>2024-11-23</dc:date> <prism:publicationDate>2024-11-23</prism:publicationDate> <prism:volume>2</prism:volume> <prism:number>1</prism:number> <prism:startingPage>16</prism:startingPage> <prism:endingPage>52</prism:endingPage> <prism:doi>10.33422/conferenceme.v2i1.637</prism:doi> </item> </rdf:RDF>