{"title":"The business value of privacy-preserving technologies: the case of multiparty computation in the telecom industry","authors":"H. Ofe, Harm Minnema, M. de Reuver","doi":"10.1108/dprg-10-2021-0132","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis paper aims to propose a framework for how privacy-preserving technologies (PETs) create business value for organizations. The framework was developed by examining the literature on privacy and information technology’s impact (symbolic and function). The authors evaluate the framework’s applicability using multiparty computation (MPC) as an instance of PETs, with expert interviews in the telecommunication industry.\n\n\nDesign/methodology/approach\nIn an illustrative case of four telecommunication companies, the authors conducted semi-structured interviews with experts and used MPC as an instance of PET.\n\n\nFindings\nThe evaluation of the framework indicates that PETs create business value for organizations: enhancing customer interactions, sales, personalized services, predicting market trends and collaboration among organizations. The findings show that business value of PETs is mainly driven by consumers and organizations willing to share data and collaborate.\n\n\nResearch limitations/implications\nThis study was limited to the telecom sector and focused on MPC as an instance of PET. Further studies should be conducted to explore the benefits of other PETs and MPC. Future research could find out if this framework is also helpful for implementing other PETs or even other types of technology. The authors’ framework provides factors that future studies can use to quantify the impact of PETs. The authors hope that this framework provides an overarching reference for organizations considering the adoption of PETs.\n\n\nPractical implications\nThe authors’ findings inform managers in exploring the business value of PETs for organizations. This study also provides insights into which costs and risks to consider when implementing PETs.\n\n\nOriginality/value\nThis study is one of the few to propose a framework on how PETs create business value for organizations. Future research can use factors in the framework (e.g. customer interactions, sales, personalized services and market trend prediction) to conduct a quantitative study on PETs’ business value. Managers adopting PETs can use the framework to identify areas where PETs impact their organization.\n","PeriodicalId":56357,"journal":{"name":"Digital Policy Regulation and Governance","volume":"176 1","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Policy Regulation and Governance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/dprg-10-2021-0132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
This paper aims to propose a framework for how privacy-preserving technologies (PETs) create business value for organizations. The framework was developed by examining the literature on privacy and information technology’s impact (symbolic and function). The authors evaluate the framework’s applicability using multiparty computation (MPC) as an instance of PETs, with expert interviews in the telecommunication industry.
Design/methodology/approach
In an illustrative case of four telecommunication companies, the authors conducted semi-structured interviews with experts and used MPC as an instance of PET.
Findings
The evaluation of the framework indicates that PETs create business value for organizations: enhancing customer interactions, sales, personalized services, predicting market trends and collaboration among organizations. The findings show that business value of PETs is mainly driven by consumers and organizations willing to share data and collaborate.
Research limitations/implications
This study was limited to the telecom sector and focused on MPC as an instance of PET. Further studies should be conducted to explore the benefits of other PETs and MPC. Future research could find out if this framework is also helpful for implementing other PETs or even other types of technology. The authors’ framework provides factors that future studies can use to quantify the impact of PETs. The authors hope that this framework provides an overarching reference for organizations considering the adoption of PETs.
Practical implications
The authors’ findings inform managers in exploring the business value of PETs for organizations. This study also provides insights into which costs and risks to consider when implementing PETs.
Originality/value
This study is one of the few to propose a framework on how PETs create business value for organizations. Future research can use factors in the framework (e.g. customer interactions, sales, personalized services and market trend prediction) to conduct a quantitative study on PETs’ business value. Managers adopting PETs can use the framework to identify areas where PETs impact their organization.
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