The disruptive potential of drones.

Mark Lett

Odette School of Business, University of Windsor, 401 Sunset Ave, Windsor, Ontario N9B 3P4 Canada.

Published: October 2020

Drones are increasingly being used in marketing. Yet, despite rapidly growing adoption and incredible versatility, drones hardly feature in marketing research. This oversight is striking as their unique characteristics and the plethora of applications have major consequences for marketing. In particular, we outline how drones have implications for theory and practice in relation to business models, consumers, and society and public policy. We highlight these far-reaching consequences and provide a rich future research trajectory aimed to further theory development on the emerging phenomenon of drones.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530183PMC
http://dx.doi.org/10.1007/s11002-020-09542-8DOI Listing

Publication Analysis

Top Keywords

drones
5
disruptive potential
4
potential drones
4
drones drones
4
drones increasingly
4
increasingly marketing
4
marketing despite
4
despite rapidly
4
rapidly growing
4
growing adoption
4

Similar Publications

Environmental influence and species occurrence of yellowjacket drones in an invaded area.

Sci Rep

January 2025

Grupo de Ecología de Poblaciones de Insectos, Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB) (CONICET - INTA), Modesta Victoria N°4450, San Carlos de Bariloche, Río Negro, 8400, Argentina.

During the mating season, reproductive individuals of numerous insect species gather in rendezvous areas, which increases mating opportunities. Male hymenopterans often have to move considerable distances during a particular season, searching or waiting for receptive females. Such behavior is likely driven by a complex combination of individual and species-specific traits, environmental influence, and landscape cues.

View Article and Find Full Text PDF

A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications.

PLoS One

January 2025

Division of Biological Sciences, US Fish and Wildlife Southwest Regional Office, Albuquerque, New Mexico, United States of America.

There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. However, even skilled observers may diverge in interpreting aerial imagery of complex environments, which may result in downstream instability of models. In this study, we present a framework for assessing annotation reliability by calculating agreement metrics for individual observers against an aggregated set of annotations generated by clustering multiple observers' observations and selecting the mode classification.

View Article and Find Full Text PDF

Unlabelled: Out-of-hospital cardiac arrest (OHCA) remains a critical health concern, where prompt access to automated external defibrillators (AEDs) significantly improves survival. This scoping review broadly investigates the feasibility and impact of dronedelivered AEDs for OHCA response.

Methods: PubMed, Cochrane, and Web of Science were searched from inception to August 6, 2024, with eligibility broadly including empirical data.

View Article and Find Full Text PDF

Identifying weed species at early-growth stages is critical for precision agriculture. Accurate classification at the species-level enables targeted control measures, significantly reducing pesticide use. This paper presents a dataset of RGB images captured with a Sony ILCE-6300L camera mounted on an unmanned aerial vehicle (UAV) flying at an altitude of 11 m above ground level.

View Article and Find Full Text PDF

Recent developments on aerial lab-on-a-drone platforms for remote environmental monitoring: A review.

Anal Chim Acta

February 2025

Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil; Instituto Nacional de Ciência e Tecnologia de Bioanalítica, Campinas, 13084-971, SP, Brazil. Electronic address:

Background: Distinct classes of environmental contaminants - such as microplastics, volatile organic compounds, inorganic gases, hormones, pesticides/herbicides, and heavy metals - have been continuously released into the environment from different sources. Anthropogenic activities with unprecedented consequences have impacted soil, surface waters, and the atmosphere. In this scenario, developing sensing materials and analytical platforms for monitoring water and air quality is essential to supporting worldwide environmental control agencies.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!