Big Data, Drone Data: Privacy and Ethical Impacts of the Intersection Between Big Data and Civil Drone Deployments

Finn, Rachel; Donovan, Anna

doi:10.1007/978-94-6265-132-6_3

Cited by 22 publications

(19 citation statements)

References 13 publications

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“…Similarly, trust issues in organisations, such as inefficient transactions, frauds and pilferage, are highlighted in many studies (Hsiao, 2003). Similarly, the lack of trust leads to safety issues that may threaten the commercial use of DTs (Finn and Donovan, 2016).…”

Section: Literature Review and Theoretical Foundationmentioning

confidence: 99%

Identification and analysis of adoption barriers of disruptive technologies in the logistics industry

Rathore

Gupta²,

Biswas³

et al. 2022

IJLM

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PurposeRecently, disruptive technologies (DTs) have proposed several innovative applications in managing logistics and promise to transform the entire logistics sector drastically. Often, this transformation is not successful due to the existence of adoption barriers to DTs. This study aims to identify the significant barriers that impede the successful adoption of DTs in the logistics sector and examine the interrelationships amongst them.Design/methodology/approachInitially, 12 critical barriers were identified through an extensive literature review on disruptive logistics management, and the barriers were screened to ten relevant barriers with the help of Fuzzy Delphi Method (FDM). Further, an Interpretive Structural Modelling (ISM) approach was built with the inputs from logistics experts working in the various departments of warehouses, inventory control, transportation, freight management and customer service management. ISM approach was then used to generate and examine the interrelationships amongst the critical barriers. Matrics d’Impacts Croises-Multiplication Applique a Classement (MICMAC) analysed the barriers based on the barriers' driving and dependence power.FindingsResults from the ISM-based technique reveal that the lack of top management support (B6) was a critical barrier that can influence the adoption of DTs. Other significant barriers, such as legal and regulatory frameworks (B1), infrastructure (B3) and resistance to change (B2), were identified as the driving barriers, and industries need to pay more attention to them for the successful adoption of DTs in logistics. The MICMAC analysis shows that the legal and regulatory framework and lack of top management support have the highest driving powers. In contrast, lack of trust, reliability and privacy/security emerge as barriers with high dependence powers.Research limitations/implicationsThe authors' study has several implications in the light of DT substitution. First, this study successfully analyses the seven DTs using Adner and Kapoor's framework (2016a, b) and the Theory of Disruptive Innovation (Christensen, 1997; Christensen et al., 2011) based on the two parameters as follows: emergence challenge of new technology and extension opportunity of old technology. Second, this study categorises these seven DTs into four quadrants from the framework. Third, this study proposes the recommended paths that DTs might want to follow to be adopted quickly.Practical implications The authors' study has several managerial implications in light of the adoption of DTs. First, the authors' study identified no autonomous barriers to adopting DTs. Second, other barriers belonging to any lower level of the ISM model can influence the dependent barriers. Third, the linkage barriers are unstable, and any preventive action involving linkage barriers would subsequently affect linkage barriers and other barriers. Fourth, the independent barriers have high influencing powers over other barriers.Originality/valueThe contributions of this study are four-fold. First, the study identifies the different DTs in the logistics sector. Second, the study applies the theory of disruptive innovations and the ecosystems framework to rationalise the choice of these seven DTs. Third, the study identifies and critically assesses the barriers to the successful adoption of these DTs through a strategic evaluation procedure with the help of a framework built with inputs from logistics experts. Fourth, the study recognises DTs adoption barriers in logistics management and provides a foundation for future research to eliminate those barriers.

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Section: Literature Review and Theoretical Foundationmentioning

confidence: 99%

Identification and analysis of adoption barriers of disruptive technologies in the logistics industry

Rathore

Gupta²,

Biswas³

et al. 2022

IJLM

View full text Add to dashboard Cite

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“…Other works have suggested that anonymization techniques such as blurring of images can be applied to the collected image data to remove identifiable information from the images, thus minimizing the risk of privacy violation [89,95]. However, as noted in [96], anonymization is often insufficient if the drones also collect information that extends beyond visual data, such as geolocation and landmarks, which could still point to an identifiable details when combined with visual data. Drone detection and deterrence techniques have also been suggested to counter illegal and obtrusive use of drones, especially in sensitive public spheres such as airports, medical facilities and crowded areas.…”

Section: Privacy and Ethical Implicationsmentioning

confidence: 99%

Unmanned Aerial Vehicles for Crowd Monitoring and Analysis

et al. 2021

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Crowd monitoring and analysis has become increasingly used for unmanned aerial vehicle applications. From preventing stampede in high concentration crowds to estimating crowd density and to surveilling crowd movements, crowd monitoring and analysis have long been employed in the past by authorities and regulatory bodies to tackle challenges posed by large crowds. Conventional methods of crowd analysis using static cameras are limited due to their low coverage area and non-flexible perspectives and features. Unmanned aerial vehicles have tremendously increased the quality of images obtained for crowd analysis reasons, relieving the relevant authorities of the venues’ inadequacies and of concerns of inaccessible locations and situation. This paper reviews existing literature sources regarding the use of aerial vehicles for crowd monitoring and analysis purposes. Vehicle specifications, onboard sensors, power management, and an analysis algorithm are critically reviewed and discussed. In addition, ethical and privacy issues surrounding the use of this technology are presented.

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“…In addition, the legal picture should be completed with the different sectors affected by the use of this technology, such as telecommunication law, rules on product liability, criminal and insurance law, and so forth. These sectors cover problems of accountability and voyeurism, transparency and visibility, surveillance and monitoring, which have been widely debated over the past years (Finn and Donovan 2016).…”

Section: The Governance Of Uas Within the European Skylinementioning

confidence: 99%

“…The application of drones in civil contexts can have the following effects: a chilling effect; dehumanisation of the surveyed; transparency and visibility, accountability and voyeurism; function creep; bodily privacy; privacy of location and space; and privacy of association. (Finn and Donovan 2016) In addition, we should examine how UAS operations can interfere with third parties' devices and communications, how e-privacy and cybersecurity rules are to be applied in this context, what role telecommunication companies should play in the governance of UAS operations, and whether the latter require band and frequencies of their own.…”

Section: Gardens a Series Of Other Applications And Payloads Can Also Be Installed On Drones Allowing The Gathering And Processing Of Permentioning

confidence: 99%

Urban Unmanned Aerial Systems Operations

Bassi

2020

LiC

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The drone sector offers a wide range of affordances, opportunities, and economic benefits for society. Delivery services, agriculture monitoring, wildfire control, public infrastructure inspections, humanitarian aid, or drone journalism, are among the activities enhanced by unmanned aerial systems (UAS). No surprise the civilian UAS market is growing fast throughout the world. Yet, on a daily basis, newspapers report serious concerns for people infringing other people’s rights through the use of drones. Cybersecurity attacks, data theft, criminal offences brought about the use of this technology frame the picture. Nowadays, several countries are changing their legal rules to properly address such challenges. In 2018, the European Union (EU) started its five year-long regulative process that should establish the common rules and standards for UAS operations within the EU Single Sky by 2023. A similar timeline has been adopted in the United States, so as to provide the jurisdictional boundaries for the civilian use of drones. The United Kingdom (UK) and Japan are adopting new rules too. From a legal point of view, the overall framework is thus rapidly evolving. The aim of this paper is to give attention to (i) privacy and data protection concerns raised by UAS operations; (ii) their monitoring functions and corresponding surveillance issues; and, (iii) how a privacy preserving approach – such as with privacy by design technologies, organizational measures, audit procedures, civic involvement, to name a few – makes a lawful and ethical use of this powerful technology possible.

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Big Data, Drone Data: Privacy and Ethical Impacts of the Intersection Between Big Data and Civil Drone Deployments

Cited by 22 publications

References 13 publications

Identification and analysis of adoption barriers of disruptive technologies in the logistics industry

Identification and analysis of adoption barriers of disruptive technologies in the logistics industry

Unmanned Aerial Vehicles for Crowd Monitoring and Analysis

Urban Unmanned Aerial Systems Operations

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