Search results for " marketing"
showing 10 items of 1527 documents
The impact of social media and offline influences on consumer behaviour. An analysis of the low-cost airline industry
2016
This study analyses the impact of social media as well as offline environments upon tourist online purchase and recommendation behaviour of low-cost airline services. Drawing on the Theory of Reasoned Action (TRA), this research considers the effect of offline social influences (interpersonal and external influences) and analyses online Consumer-to-Consumer (C2C) information exchanges as a driver of customer attitude towards online purchases. We propose that these factors improve online repurchase intentions and positive word-of-mouth communication (WOM and e-WOM) in low-cost settings. Using structural equation modelling, the conceptual model is tested with a sample of 441 Spanish Internet …
Running faster and jumping higher? Survival and growth in international manufacturing new ventures
2018
Going international early is increasingly the choice of new ventures in manufacturing industries. However, does earliness provide a positive outcome for internationalisation? To answer this, we have longitudinally analysed 3181 manufacturing new ventures established between 2002 and 2012. Using Cox regressions, we found that the 124 late internationals had the lowest risk of failure, while the 229 early internationals could not compensate for their mortality risk with significantly higher levels of growth in the post-internationalisation period. We discuss why an early internationalisation is more perilous than beneficial and provide some suggestions for the internationalisation of new ven…
Social media overload, exhaustion, and use discontinuance : Examining the effects of information overload, system feature overload, and social overlo…
2020
While users’ discontinuance of use has posed a challenge for social media in recent years, there is a paucity of knowledge on the relationships between different dimensions of overload and how overload adversely affects users’ social media discontinuance behaviors. To address this knowledge gap, this study employed the stressor–strain–outcome (SSO) framework to explain social media discontinuance behaviors from an overload perspective. It also conceptualized social media overload as a multidimensional construct consisting of system feature overload, information overload, and social overload. The proposed research model was empirically validated via 412 valid questionnaire responses collecte…
Sport Spectators’ Segmentation
2015
International audience
Export Barriers and Competitiveness of Developing Economies: The Case of the Ethiopian Leather Footwear Industry
2017
Export competitiveness is an important success factor for developing economies. However, several barriers can prevent firms from exporting. This study empirically investigates export barriers in the Ethiopian leather footwear industry. We identify 10 conceptually linked barriers that are prevalent in the industry. Whereas some of the export barriers are in line with previous research, we find several new barriers such as logistics and export marketing. On the firm level, we identify different clusters of firms that are facing specific sub-sets of barriers. Depending on cluster membership, management must focus on certain export barriers for increasing competitiveness.
Web‐based national tourism promotion in the Mediterranean area
2005
The purpose of this study is to analyze the promotion of the Mediterranean areas over the Internet. To meet this objective, the tourism board of each country is identified and Website indicators based on the assessment of seven “best practices” (WTO 1999) and e‐business for tourism strategies (WTO 2001) are analyzed. Content analysis reveals differences among countries. Managerial implications are developed.
Customer-based brand equity building
2016
The marketing literature suggested that customers are adding incremental value to a product by its brand, conceptualizing this phenomenon in terms of brand equity. This article is a contribution to this area of study as it provides a new understanding of the process of brand equity building, when approached from the customer point of view. The empirical research is centred on the hospitality industry, more specifically, upscale (i.e. four- and five-star) hotels in Croatia. The data were collected from 475 guests in 24 upscale hotels. The results reveal that image and loyalty exert a direct impact on the overall brand equity, while the influence of trust and affective commitment is mediated…
Infantile Hemangioma Detection using Deep Learning
2020
Infantile hemangiomas are the most common type of benign tumor which appear in the first weeks of life. As currently there is no robust protocol to monitor and assess the hemangioma status, this study proposes a preliminary method to detect the lesion. Therefore, in this paper we describe a hemangiomas classifier based on a linear convolutional neural network architecture. The challenge was to achieve a good classification using a relatively small internal database of 240 images from 40 different patients. The results are promising as the CNN performance evaluation showed a level of accuracy on the test set of 93.84%. Five metrics were calculated to assess the proposed model performances: a…
Web Information Systems and Technologies
2016
This book constitutes revised selected papers from the 11th International Conference on Web Information Systems and Technologies, WEBIST 2015, held in Lisbon, Portugal, May 20-22, 2015, organized by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC), and technically sponsored by the European Research Center for Information Systems (ERCIS). The purpose of the WEBIST series of conferences is to bring together researches, engineers and practitioners interested in technological advances and business applications of web-based information systems. The 17 full papers presented in this volume were carefully reviewed and selected originally 115 paper submi…
How Quickly Can We Predict Users’ Ratings on Aesthetic Evaluations of Websites? Employing Machine Learning on Eye-Tracking Data
2020
This study examines how quickly we can predict users’ ratings on visual aesthetics in terms of simplicity, diversity, colorfulness, craftsmanship. To predict users’ ratings, first we capture gaze behavior while looking at high, neutral, and low visually appealing websites, followed by a survey regarding user perceptions on visual aesthetics towards the same websites. We conduct an experiment with 23 experienced users in online shopping, capture gaze behavior and through employing machine learning we examine how fast we can accurately predict their ratings. The findings show that after 25 s we can predict ratings with an error rate ranging from 9% to 11% depending on which facet of visual ae…