Tapio Savunen, Pekka Kekolahti, Petri Mähönen, Heikki Hämmäinen, Kalevi Kilkki
{"title":"移动网络运营商在下一代公共安全服务中的业务风险","authors":"Tapio Savunen, Pekka Kekolahti, Petri Mähönen, Heikki Hämmäinen, Kalevi Kilkki","doi":"10.1016/j.telpol.2024.102733","DOIUrl":null,"url":null,"abstract":"<div><h3>Field of research</h3><p>This research falls under the field of mobile broadband 4G/5G networks for public safety communications and focuses specifically on the public safety services business of mobile network operators (MNOs).</p></div><div><h3>Purpose</h3><p>This research contributes a qualitative model of MNOs’ business risks in providing public safety services. The risk assessment covers the business model used in European public safety mobile broadband projects.</p></div><div><h3>Methods and data</h3><p>A qualitative method was chosen for the research. The risk model used was an influence diagram with the causal taxonomy of risk, which is commonly used for qualitative and quantitative causal models based on Bayesian networks. The Delphi method was employed through the use of an expert panel to create the risk model. The expert panel's risk assessment was conducted using a case study that followed the model of European public safety projects.</p></div><div><h3>Findings</h3><p>The risk model shows that business risks are, in many ways, a threat to the financial goals of MNOs' public safety business. These risks could result in additional costs, contractual penalties, and lost service revenue. Additionally, there is potential for negative impacts on MNOs’ regular business, which can lead to a loss of market share and revenue.</p></div><div><h3>Value</h3><p>This research provides new insights into MNOs’ business risks in next-generation public safety services. Procurement authorities are advised to use the results in the business model and contract planning for public safety procurements. MNOs can gain advantages from these results by enhancing their understanding of the potential business risks, their consequences, and how to control and mitigate them in public safety projects.</p></div>","PeriodicalId":22290,"journal":{"name":"Telecommunications Policy","volume":"48 4","pages":"Article 102733"},"PeriodicalIF":5.9000,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0308596124000302/pdfft?md5=8875401cbc52c1c4348a3bfc828e81f6&pid=1-s2.0-S0308596124000302-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Mobile network operators’ business risks in next-generation public safety services\",\"authors\":\"Tapio Savunen, Pekka Kekolahti, Petri Mähönen, Heikki Hämmäinen, Kalevi Kilkki\",\"doi\":\"10.1016/j.telpol.2024.102733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Field of research</h3><p>This research falls under the field of mobile broadband 4G/5G networks for public safety communications and focuses specifically on the public safety services business of mobile network operators (MNOs).</p></div><div><h3>Purpose</h3><p>This research contributes a qualitative model of MNOs’ business risks in providing public safety services. The risk assessment covers the business model used in European public safety mobile broadband projects.</p></div><div><h3>Methods and data</h3><p>A qualitative method was chosen for the research. The risk model used was an influence diagram with the causal taxonomy of risk, which is commonly used for qualitative and quantitative causal models based on Bayesian networks. The Delphi method was employed through the use of an expert panel to create the risk model. The expert panel's risk assessment was conducted using a case study that followed the model of European public safety projects.</p></div><div><h3>Findings</h3><p>The risk model shows that business risks are, in many ways, a threat to the financial goals of MNOs' public safety business. These risks could result in additional costs, contractual penalties, and lost service revenue. Additionally, there is potential for negative impacts on MNOs’ regular business, which can lead to a loss of market share and revenue.</p></div><div><h3>Value</h3><p>This research provides new insights into MNOs’ business risks in next-generation public safety services. Procurement authorities are advised to use the results in the business model and contract planning for public safety procurements. 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Mobile network operators’ business risks in next-generation public safety services
Field of research
This research falls under the field of mobile broadband 4G/5G networks for public safety communications and focuses specifically on the public safety services business of mobile network operators (MNOs).
Purpose
This research contributes a qualitative model of MNOs’ business risks in providing public safety services. The risk assessment covers the business model used in European public safety mobile broadband projects.
Methods and data
A qualitative method was chosen for the research. The risk model used was an influence diagram with the causal taxonomy of risk, which is commonly used for qualitative and quantitative causal models based on Bayesian networks. The Delphi method was employed through the use of an expert panel to create the risk model. The expert panel's risk assessment was conducted using a case study that followed the model of European public safety projects.
Findings
The risk model shows that business risks are, in many ways, a threat to the financial goals of MNOs' public safety business. These risks could result in additional costs, contractual penalties, and lost service revenue. Additionally, there is potential for negative impacts on MNOs’ regular business, which can lead to a loss of market share and revenue.
Value
This research provides new insights into MNOs’ business risks in next-generation public safety services. Procurement authorities are advised to use the results in the business model and contract planning for public safety procurements. MNOs can gain advantages from these results by enhancing their understanding of the potential business risks, their consequences, and how to control and mitigate them in public safety projects.
期刊介绍:
Telecommunications Policy is concerned with the impact of digitalization in the economy and society. The journal is multidisciplinary, encompassing conceptual, theoretical and empirical studies, quantitative as well as qualitative. The scope includes policy, regulation, and governance; big data, artificial intelligence and data science; new and traditional sectors encompassing new media and the platform economy; management, entrepreneurship, innovation and use. Contributions may explore these topics at national, regional and international levels, including issues confronting both developed and developing countries. The papers accepted by the journal meet high standards of analytical rigor and policy relevance.