The business value of privacy-preserving technologies: the case of multiparty computation in the telecom industry

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Digital Policy Regulation and Governance Pub Date : 2022-10-14 DOI:10.1108/dprg-10-2021-0132
H. Ofe, Harm Minnema, M. de Reuver
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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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隐私保护技术的商业价值:以电信行业多方计算为例
本文旨在提出隐私保护技术(pet)如何为组织创造商业价值的框架。该框架是通过研究有关隐私和信息技术影响(象征和功能)的文献而开发的。作者以多方计算(MPC)为例,对该框架的适用性进行了评估,并对电信行业的专家进行了访谈。在四家电信公司的说明性案例中,作者对专家进行了半结构化访谈,并将MPC作为PET的一个实例。对该框架的评估表明,pet为组织创造了商业价值:增强了客户互动、销售、个性化服务、预测市场趋势和组织之间的协作。调查结果表明,pet的商业价值主要由愿意共享数据和协作的消费者和组织驱动。研究局限/启示本研究仅限于电信行业,并将MPC作为PET的一个实例。应该进行进一步的研究,以探索其他pet和MPC的益处。未来的研究可能会发现这个框架是否也有助于实施其他pet甚至其他类型的技术。作者的框架提供了未来研究可以用来量化pet影响的因素。作者希望该框架为考虑采用pet的组织提供一个总体参考。实际意义:作者的研究结果为管理者探索组织中pet的商业价值提供了信息。本研究还提供了在实施pet时需要考虑哪些成本和风险的见解。原创性/价值本研究是为数不多的提出pet如何为组织创造商业价值的框架的研究之一。未来的研究可以利用框架中的因素(如客户互动、销售、个性化服务和市场趋势预测)对pet的商业价值进行定量研究。采用pet的管理人员可以使用该框架来确定pet影响其组织的领域。
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来源期刊
Digital Policy Regulation and Governance
Digital Policy Regulation and Governance INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.90
自引率
0.00%
发文量
30
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