Consumers' perceptions of item-level RFID Use in FMCG: A balanced perspective of benefits and risks

This research explores how perceived consumer benefits affect the perceived privacy risks from implementation of Radio Frequency Identification (RFID) tags at an item-level in the Fast Moving Consumer Goods (FMCG) industry. Two new categories measure the benefits and risks: in-store and after-sales. These specific categories allow the respondents' willingness to accept RFID to be evaluated using a quantitative survey focused on the primary household grocery purchasers within the USA. The results suggest differences in perceptions of the in-store and after-sales risks and benefits of RFID use. While consumers are aware of privacy risks while using RFID technology, they would be willing to use the technology if sufficient benefits are available. This research moves the discussion away from a focus on consumer privacy issues to a balanced privacy/benefits approach for consumers and how that might affect their technology acceptance, suggesting that careful management of consumer benefits might allow FMCG firms to introduce RFID technology to support their global supply chains

combining traditional interviews with delphi method

Ruivo, P., Santos, V., & Oliveira, T. (2019). Success factors for data protection in services and support roles: combining traditional interviews with delphi method. In Censorship, Surveillance, and Privacy: Concepts, Methodologies, Tools, and Applications (Vol. 2, pp. 814-829). IGI Global. DOI: 10.4018/978-1-5225-7113-1.ch042The transformation of today’s information and communications technology (ICT) firms requires the services and support organizations to think differently about customers data protection. Data protection represents one of the security and privacy areas considered to be the next “blue ocean” in leveraging the creation of business opportunities. Based in contemporary literature, the authors conducted a two phases’ qualitative methodology - the expert’s interviews and Delphi method to identify and rank 12 factors on which service and support professionals should follow in their daily tasks to ensure customer data protection: 1) Data classification, 2) Encryption, 3) Password protection, 4) Approved tools, 5) Access controls, 6) How many access data, 7) Testing data, 8) Geographic rules, 9) Data retention, 10) Data minimization, 11) Escalating issues, and 12) Readiness and training. This paper contribute to the growing body of knowledge of data protection filed. The authors provide directions for future work for practitioners and researchers.authorsversionpublishe