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首页> 外文期刊>Advanced Science Letters >Developing an Information Privacy Concerns Model for Protecting Consumers’ Personal Data in Energy Sector
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Developing an Information Privacy Concerns Model for Protecting Consumers’ Personal Data in Energy Sector

机译:制定信息隐私问题涉及保护消费者个人数据的能源部门的模型

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Big data industry process massive amount of consumers’ personal data that are utilized by their employees in the workplace. The current problem is due to the privileged access to sensitive and valuable personal data, employees may cause privacy breaches. This situation may leadto detrimental consequences. Therefore, it is important to impose particular attention to employees’ concerns regarding privacy in the use of personal data. The objective of the study is to develop an information privacy concerns (IPC) model to enhance employees’ privacy concernsfor protecting consumers’ personal data. The study focus on employees who are managing consumers’ personal data within the organizations. In preliminary study, three theories and five models that have been applied in information privacy research have been used in order to identifythe determinants. The determinants are privacy control, privacy risk, privacy policy, awareness, personal experience, trust, self-efficacy and culture. As one of the sectors that vulnerable to privacy breaches and disclosure, energy sector is chosen as the scope of this study. A questionnairesurvey will be distributed to a total sample of 500 employees working in the energy sector. The data collected will be analyzed statistically using Structural Equation Modelling (SEM). The outcomes of this study will provide insights for employee to enhance their awareness on the responsibilityto protect consumers’ personal data in their organization. It also may assist the organizations to evaluate their employees’ IPC. This will contribute to better services served by the energy sector to the public, subsequently facilitated the organizations towards understandingthe IPC determinants from the employees’ perspective in ensuring compliance with the Personal Data Protection Act 2010 and align with requirement in Critical National Information Infrastructure (CNII).
机译:大数据产业流程员工在工作场所员工使用的大量消费者个人数据。当前问题是由于特权访问敏感和有价值的个人数据,员工可能会导致隐私违规行为。这种情况可能会导致不利的后果。因此,重要的是要特别注意员工对使用个人数据的隐私的担忧。该研究的目的是制定一个信息隐私问题(IPC)模型,以提高员工的隐私问题,以保护消费者的个人数据。该研究侧重于在组织内管理消费者个人数据的员工。在初步研究中,已经使用了在信息隐私研究中应用的三种理论和五种模型,以便识别决定因素。决定因素是隐私控制,隐私风险,隐私政策,意识,个人经验,信任,自我效力和文化。作为易受隐私违规和披露的部门之一,选择能源部门作为本研究的范围。调查问卷索维将分发给在能源部门工作的500名员工的总体样本。将使用结构方程建模(SEM)统计分析收集的数据。本研究的结果将为员工提供洞察,以提高他们对责任的认识,保护消费者在其组织中保护消费者的个人数据。它还可以帮助组织评估员工的IPC。这将有助于更好的服务于能源部门向公众服务,随后促进了在确保遵守2010年的个人数据保护法并对批判国家信息基础设施(CNII)的要求方面来了解雇员视角的IPC决定因素。 。

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