Risk, privacy and security concerns in digital retail

Marriott, Hannah R.; Williams, Michael D.; Dwivedi, Yogesh K.

doi:10.1362/146934717x14909733966254

Cited by 15 publications

(8 citation statements)

References 143 publications

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“…Inman and Nikolova ( 2017 ), for example, have shown that customers often evaluate the privacy implications of new retailing technologies when considering whether to adopt them. Marriott et al ( 2017 ) came to the same conclusions with respect to m-commerce in particular.…”

Section: Speculative Connections Between Walking In Retailing and Wal...mentioning

confidence: 62%

Data science for pedestrian and high street retailing as a framework for advancing urban informatics to individual scales

Torrens

2022

Urban Info

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Background In this paper, we consider the applicability of the customer journey framework from retailing as a driver for urban informatics at individual scales within urban science. The customer journey considers shopper experiences in the context of shopping paths, retail service spaces, and touch-points that draw them into contact. Around this framework, retailers have developed sophisticated data science for observation, identification, and measurement of customers in the context of their shopping behavior. This knowledge supports broad data-driven understanding of customer experiences in physical spaces, economic spaces of decision and choice, persuasive spaces of advertising and branding, and inter-personal spaces of customer-staff interaction. Method We review the literature on pedestrian and high street retailing, and on urban informatics. We investigate whether the customer journey could be usefully repurposed for urban applications. Specifically, we explore the potential use of the customer journey framework for producing new insight into pedestrian behavior, where a sort of empirical hyperopia has long abounded because data are always in short supply. Results Our review addresses how the customer journey might be used as a structure for examining how urban walkers come into contact with the built environment, how people actively and passively sense and perceive ambient city life as they move, how pedestrians make sense of urban context, and how they use this knowledge to build cognition of city streetscapes. Each of these topics has relevance to walking studies specifically, but also to urban science more generally. We consider how retailing might reciprocally benefit from urban science perspectives, especially in extending the reach of retailers' insight beyond store walls, into the retail high streets from which they draw custom. Conclusion We conclude that a broad set of theoretical frameworks, data collection schemes, and analytical methodologies that have advanced retail data science closer and closer to individual-level acumen might be usefully applied to accomplish the same in urban informatics. However, we caution that differences between retailers’ and urban scientists’ viewpoints on privacy presents potential controversy.

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Section: Speculative Connections Between Walking In Retailing and Wal...mentioning

confidence: 62%

Data science for pedestrian and high street retailing as a framework for advancing urban informatics to individual scales

Torrens

2022

Urban Info

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“…Perhaps, then, the most steadfast approach to privacy concerns is to raise awareness among high street shoppers of the existence of surveillance systems and their capabilities, and the potential that those systems create for function creep beyond the most immediately obvious terms of service. Consider, for example, that retailers have been shown already to be highly sensitive to customer opinions and perceptions of their data privacy [325,[340][341][342].…”

Section: New Landscapes For Public Privacymentioning

confidence: 99%

Smart and Sentient Retail High Streets

Torrens

2022

Smart Cities

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Here, we examine the extension of smart retailing from the indoor confines of stores, outward to high streets. We explore how several technologies at the union of retail intelligence and smart city monitoring could coalesce into retail high streets that are both smart and sentient. We examine the new vantages that smart and sentient retail high streets provide on the customer journey, and how they could transform retailers’ sway over customer experience with new reach to the public spaces around shops. In doing so, we pursue a three-way consideration of these issues, examining the technology that underpins smart retailing, new advances in artificial intelligence and machine learning that beget a level of street-side sentience, and opportunities for retailers to map the knowledge that those technologies provide to individual customer journeys in outdoor settings. Our exploration of these issues takes form as a review of the literature and the introduction of our own research to prototype smart and sentient retail systems for high streets. The topic of enhancing retailers’ acuity on high streets has significant currency, as many high street stores have recently been struggling to sustain custom. However, the production and application of smart and sentient technologies at hyper-local resolution of the streetscape conjures some sobering considerations about shoppers’ and pedestrians’ rights to privacy in public.

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“…Frino et al (2007) indicate that market behaviors could be used to predict financial distress or difficulties, which includes data breaches. A more holistic approach to information security is needed to enable managers to play an effective role in information security (Soomro et al, 2016;Marriott et al, 2017). SEC requires that publicly held corporations annually submit their number of outstanding shares and closing market price (using firms' fiscal years as the valuation date).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

The effect of data breaches on company performance

Juma’h

Alnsour

2020

IJAIM

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Purpose This paper aims to analyze the effect of data breaches – whose concerns and implications can be legal, social and economic – on companies’ overall performance. Design/methodology/approach Information on data breaches was collected from online compilations, and financial data on breached companies was collected from the Mergent Online database. The financial variables used were related to profitability, liquidity, solvency and company size to analyze the financial performance of the breached companies before and after the data breach event. Nonfinancial data, such as the type and the size of the breaches, was also collected. The data was analyzed using multiple regression. Findings The results confirm that nonmandatory information related to announcements of data breaches is a signal of companies’ overall performance, as measured by profitability ratios, return on assets and return on equity. The study does not confirm a relationship between data breaches and stock market reaction when measuring quarterly changes in share prices. Research limitations/implications The main limitation of the study relates to ratio and trend analyses. Such analyses are commonly used when researching accounting information. However, they do not directly reflect the companies’ conditions and realities, and they rely on companies’ released financial reports. Another limitation concerns the confounding factors. The major confounding factors around the data breaches’ dates were identified; however, this was not enough to assure that other factors were not affecting the companies’ financial performance. Because of the nature of such events, this study needs to be replicated to include specific information about the companies using case studies. Therefore, the authors recommend replicating the research to validate the article’s findings when each industry makes more announcements available. Practical implications To remediate the risks and losses associated with data breaches, companies may use their reserved funds. Social implications Company data breach announcements signal internal deficiencies. Therefore, the affected companies become liable to their employees, customers and investors. Originality/value The paper contributes to both theory and practice in the areas of accounting finance, and information management.

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Risk, privacy and security concerns in digital retail

Cited by 15 publications

References 143 publications

Data science for pedestrian and high street retailing as a framework for advancing urban informatics to individual scales

Data science for pedestrian and high street retailing as a framework for advancing urban informatics to individual scales

Smart and Sentient Retail High Streets

The effect of data breaches on company performance

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