Destination image in travel magazines: A textual and pictorial analysis of Hong Kong and Macau

Based on the analyses of texts and pictures in the top six outbound travel magazines in Mainland China, this article presents an evaluation of the destination images of Hong Kong and Macau as portrayed in 88 travel articles over a three-year period. The results showed that the projected destination images of Hong Kong and Macau were dominated by attributes related to culture, history, and art and leisure and recreation. Hong Kong was often described by image attributes such as places and attractions, shopping, cuisine and food, hotels, and the creative industries. For Macau, history and heritage, places and attractions, gambling, cuisine and food, and hotels were the most often reported. During the study period, Hong Kong and Macau witnessed several significant changes in the image attributes featured in both texts and pictures. These changes were partly influenced by news and events over the period. In this article, implications for destination marketing organizations and directions for future research were suggested

M-commerce perceptual quality of service

Copyright @ 2003 CAiS

A Broad Evaluation of the Tor English Content Ecosystem

Tor is among most well-known dark net in the world. It has noble uses, including as a platform for free speech and information dissemination under the guise of true anonymity, but may be culturally better known as a conduit for criminal activity and as a platform to market illicit goods and data. Past studies on the content of Tor support this notion, but were carried out by targeting popular domains likely to contain illicit content. A survey of past studies may thus not yield a complete evaluation of the content and use of Tor. This work addresses this gap by presenting a broad evaluation of the content of the English Tor ecosystem. We perform a comprehensive crawl of the Tor dark web and, through topic and network analysis, characterize the types of information and services hosted across a broad swath of Tor domains and their hyperlink relational structure. We recover nine domain types defined by the information or service they host and, among other findings, unveil how some types of domains intentionally silo themselves from the rest of Tor. We also present measurements that (regrettably) suggest how marketplaces of illegal drugs and services do emerge as the dominant type of Tor domain. Our study is the product of crawling over 1 million pages from 20,000 Tor seed addresses, yielding a collection of over 150,000 Tor pages. We make a dataset of the intend to make the domain structure publicly available as a dataset at https://github.com/wsu-wacs/TorEnglishContent.Comment: 11 page

Destination image analytics through traveller-generated content

The explosion of content generated by users, in parallel with the spectacular growth of social media and the proliferation of mobile devices, is causing a paradigm shift in research. Surveys or interviews are no longer necessary to obtain users' opinions, because researchers can get this information freely on social media. In the field of tourism, online travel reviews (OTRs) hosted on travel-related websites stand out. The objective of this article is to demonstrate the usefulness of OTRs to analyse the image of a tourist destination. For this, a theoretical and methodological framework is defined, as well as metrics that allow for measuring different aspects (designative, appraisive and prescriptive) of the tourist image. The model is applied to the region of Attica (Greece) through a random sample of 300,000 TripAdvisor OTRs about attractions, activities, restaurants and hotels written in English between 2013 and 2018. The results show trends, preferences, assessments, and opinions from the demand side, which can be useful for destination managers in optimising the distribution of available resources and promoting sustainability

UNDERSTANDING CONSUMERS' ONLINE INFORMATION RETRIEVAL AND SEARCH: IMPLICATIONS FOR FIRM STRATEGIES

The growth of the Internet and other digitization technologies has enabled the unbundling of the physical and information components of the value chain and has led to an explosion of information made available to consumers. Understanding the implications of this new informational landscape for theory and practice is one of the key objectives of my research. My dissertation seeks to understand how firms can use their knowledge of online consumer search and information seeking behaviors to design optimal information provision strategies. The main premise is that consumers' online search behaviors are key to understanding consumers' underlying information needs and preferences. In my first essay I specifically focus on big-ticket, high-involvement goods for which firms essentially have sparse information on their potential buyers - making information reflected in consumers' online search very valuable to online retailers. I use a new and rich source of clickstream data obtained from a leading clicks-and-mortar retailer to model consumers' purchase outcomes as a function of the product and price information provided by the retailer, and find interesting differences for sessions belonging to customers classified as browsers, directed shoppers and deliberating researchers. Since consumers typically straddle online as well as traditional channels, the second essay in my dissertation examines how online information acquired by consumers affects their choices in offline used-good markets. Secondary markets characterized by information asymmetries have typically resorted to quality-signaling mechanisms such as certification to help reduce the associated frictions. However, the value of traditional quality signals to consumers depends crucially on the extent of the asymmetries in these markets. The online information available to consumers today may help bridge such asymmetries. Drawing upon a unique and extensive dataset of over 12,000 consumers who purchased used vehicles, I examine the impact of their information acquisition from online intermediaries on their choice of (reliance on) one such quality signal - certification, as well as the price paid. These findings will help firms to better understand how the provision of different types of online information impacts consumers' choices and outcomes, and therefore help them in designing better and targeted strategies to interact with consumers

User Experience in Personalized E-Commerce: A Configurational Approach

The present work aims to identify the interrelations among trust, privacy, emotions and experience in order to predict high purchase intentions, when using personalized services in the area of e-commerce. Building on complexity theory we present a conceptual model followed by research propositions. Our propositions are empirically validated through a fuzzy-set qualitative comparative analysis (fsQCA) on 182 customers with experience in personalized online shopping. The results indicate five configurations of trust, privacy, emotions, and experience that explain high purchase intentions. The importance of trust and happiness should be noted since they are both present most frequently as core factors. The study has both theoretical and practical implications towards the development of new emotion-centric theories and the design and provision of personalized services

A user perspective of quality of service in m-commerce

This is the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2004 Springer VerlagIn an m-commerce setting, the underlying communication system will have to provide a Quality of Service (QoS) in the presence of two competing factors—network bandwidth and, as the pressure to add value to the business-to-consumer (B2C) shopping experience by integrating multimedia applications grows, increasing data sizes. In this paper, developments in the area of QoS-dependent multimedia perceptual quality are reviewed and are integrated with recent work focusing on QoS for e-commerce. Based on previously identified user perceptual tolerance to varying multimedia QoS, we show that enhancing the m-commerce B2C user experience with multimedia, far from being an idealised scenario, is in fact feasible if perceptual considerations are employed

Geosimulation and Multicriteria Modelling of Residential Land Development in the City of Tehran: A Comparative Analysis of Global and Local Models

Conventional models for simulating land-use patterns are insufficient in addressing complex dynamics of urban systems. A new generation of urban models, inspired by research on cellular automata and multi-agent systems, has been proposed to address the drawbacks of conventional modelling. This new generation of urban models is called geosimulation. Geosimulation attempts to model macro-scale patterns using micro-scale urban entities such as vehicles, homeowners, and households. The urban entities are represented by agents in the geosimulation modelling. Each type of agents has different preferences and priorities and shows different behaviours. In the land-use modelling context, the behaviour of agents is their ability to evaluate the suitability of parcels of land using a number of factors (criteria and constraints), and choose the best land(s) for a specific purpose. Multicriteria analysis provides a set of methods and procedures that can be used in the geosimulation modelling to describe the behaviours of agents. There are three main objectives of this research. First, a framework for integrating multicriteria models into geosimulation procedures is developed to simulate residential development in the City of Tehran. Specifically, the local form of multicriteria models is used as a method for modelling agents’ behaviours. Second, the framework is tested in the context of residential land development in Tehran between 1996 and 2006. The empirical research is focused on identifying the spatial patterns of land suitability for residential development taking into account the preferences of three groups of actors (agents): households, developers, and local authorities. Third, a comparative analysis of the results of the geosimulation-multicriteria models is performed. A number of global and local geosimulation-multicriteria models (scenarios) of residential development in Tehran are defined and then the results obtained by the scenarios are evaluated and examined. The output of each geosimulation-multicriteria model is compared to the results of other models and to the actual pattern of land-use in Tehran. The analysis is focused on comparing the results of the local and global geosimulation-multicriteria models. Accuracy measures and spatial metrics are used in the comparative analysis. The results suggest that, in general, the local geosimulation-multicriteria models perform better than the global methods

The 2007 Summer Workshop on Money, Banking and Payments: an overview

The 2007 Summer Workshop on Money, Banking, Payments and Finance met at the Federal Reserve Bank of Cleveland this summer, as we have over the past several years. The following document summarizes and ties together the contributions presented at the workshop this year.Monetary policy ; Monetary theory ; Money ; Banks and banking