Peter O’Connor
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View article: Online Travel Agency Participation: An Empirical Investigation of Its Financial Contribution to U.S. Hotel Profitability
Online Travel Agency Participation: An Empirical Investigation of Its Financial Contribution to U.S. Hotel Profitability Open
Online travel agencies (OTAs) have become an important driver of business, although their utility remains controversial. While hotels appreciate the resulting bookings, many resent the resulting commissions. While extensively debated in th…
View article: Examining the Role of Reputation as a Moderator of E-Service Quality, Trust, and E-Loyalty in Online Travel Services
Examining the Role of Reputation as a Moderator of E-Service Quality, Trust, and E-Loyalty in Online Travel Services Open
This study presents and examines a more rigorous theoretical model for the relationships among e-service quality (e-SQ), trust, reputation, and e-loyalty in the online travel context, with the latter variables considered simultaneously and…
View article: Business models of multisided platforms for in-destination tours and activities: a morphological analysis approach
Business models of multisided platforms for in-destination tours and activities: a morphological analysis approach Open
In-destination tours and activities multisided platforms (T&A MSP) are growing ventures at the forefront of digitalizing tour and activity sector. While these platforms are transforming this sector, understanding of their business models a…
View article: Immersive virtual reality experiences: boosting potential visitor engagement and attractiveness of natural world heritage sites
Immersive virtual reality experiences: boosting potential visitor engagement and attractiveness of natural world heritage sites Open
Natural world heritage sites as destinations can have multiple orientations, namely cognitive (learning), affective (hedonism), and sustainability (nature). This study investigates how potential visitors can be attracted to such destinatio…
View article: Review Ratings, Sentiment in Review Comments, and Restaurant Profitability: Firm-Level Evidence
Review Ratings, Sentiment in Review Comments, and Restaurant Profitability: Firm-Level Evidence Open
This article examines the effect of user review ratings and sentiment in review comments on restaurant profitability. In addition, the effects of sentiment in review comments in a local versus a foreign language are compared. User sentimen…
View article: The Importance of Green Certification Labels/Badges in Online Hotel Booking Choice: A Conjoint Investigation of Consumers’ Preferences Pre- and Post-COVID-19
The Importance of Green Certification Labels/Badges in Online Hotel Booking Choice: A Conjoint Investigation of Consumers’ Preferences Pre- and Post-COVID-19 Open
In light of travelers’ growing preference for sustainable hotel accommodation, this study investigated the relative importance of green certification labels/badges in online hotel selection/booking choice. A conjoint analysis was performed…
View article: Artificial intelligence’s impact on hospitality and tourism marketing: exploring key themes and addressing challenges
Artificial intelligence’s impact on hospitality and tourism marketing: exploring key themes and addressing challenges Open
Understanding how Artificial Intelligence (AI) impacts organizational functions supports stakeholders to prepare accordingly and profit from these developments. Adopting a grounded theory approach, this study uses three interlinked stages …
View article: The indirect distribution dilemma: assessing the financial impact of participation in Booking.com for hotels
The indirect distribution dilemma: assessing the financial impact of participation in Booking.com for hotels Open
Purpose This study aims to assess if the benefits outweigh the costs of participation in online travel agencies (OTAs) such as Booking.com. Design/methodology/approach A two-step system generalised method of moments estimation of a regress…
View article: Loyalty Programs and Direct Website Performance: An Empirical Analysis of Global Hotel Brands
Loyalty Programs and Direct Website Performance: An Empirical Analysis of Global Hotel Brands Open
With loyalty programs increasingly used as a competitive method by hotel brands, this study investigates the relationship between program size/satisfaction and brand direct website performance. Analyzing a unique database of loyalty progra…
View article: Biologically plausible deep learning: Should airplanes flap their wings?
Biologically plausible deep learning: Should airplanes flap their wings? Open
Deep neural networks follow a pattern of connectivity that was loosely inspired by neurobiology. The existence of a layered architecture, with deeper neurons representing increasingly abstract features, was known from neuroscience long bef…
View article: Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning.
Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning. Open
We propose a novel deep learning method for local self-supervised representation learning that does not require labels nor end-to-end backpropagation but exploits the natural order in data instead. Inspired by the observation that biologic…
View article: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Open
We propose a novel deep learning method for local self-supervised representation learning that does not require labels nor end-to-end backpropagation but exploits the natural order in data instead. Inspired by the observation that biologic…
View article: Initialized Equilibrium Propagation for Backprop-Free Training
Initialized Equilibrium Propagation for Backprop-Free Training Open
Deep neural networks are almost universally trained with reverse-mode automatic differentiation (a.k.a. backpropagation). Biological networks, on the other hand, appear to lack any mechanism for sending gradients back to their input neuron…
View article: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Open
We propose a novel deep learning method for local self-supervised representation learning that does not require labels nor end-to-end backpropagation but exploits the natural order in data instead. Inspired by the observation that biologic…
View article: Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder
Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder Open
The aim of this work is to use Variational Autoencoder (VAE) to learn a representation of an indoor environment that can be used for robot navigation. We use images extracted from a video, in which a camera takes a tour around a house, for…
View article: Temporally Efficient Deep Learning with Spikes
Temporally Efficient Deep Learning with Spikes Open
The vast majority of natural sensory data is temporally redundant. Video frames or audio samples which are sampled at nearby points in time tend to have similar values. Typically, deep learning algorithms take no advantage of this redundan…
View article: Sigma Delta Quantized Networks
Sigma Delta Quantized Networks Open
Deep neural networks can be obscenely wasteful. When processing video, a convolutional network expends a fixed amount of computation for each frame with no regard to the similarity between neighbouring frames. As a result, it ends up repea…
View article: Is Investing in Social Media Really Worth It? How Brand Actions and User Actions on Social Media Influence Brand Value
Is Investing in Social Media Really Worth It? How Brand Actions and User Actions on Social Media Influence Brand Value Open
Although previous studies have documented a positive link between traditional media and brand performance, how social media is related to brand value has not yet been comprehensively explored. We propose a conceptual model to address this …