Search results for "Commerce"
showing 10 items of 469 documents
Exploring Online Customer Experience Formation:How do Customers Explain Negative Emotions during Online Shopping Encounters?
2019
How Are Negative Customer Experiences Formed? A Qualitative Study of Customers’ Online Shopping Journeys
2019
This study investigates how negative customer experiences are formed during customers’ online shopping journeys. A qualitative, in-depth dataset collected from 34 participants was employed to identify negatively perceived touchpoints that contribute to the customer experience in a negative way. The findings reveal that negative touchpoints are experienced during customers’ entire journeys, particularly after a purchase is completed. We identified 152 negative touchpoints from the data, of which 53 were experienced during search and consideration, 35 when finalizing a purchase, 33 during delivery, and 31 during after-sales interactions with the company. Within these four main categories, 20 …
Hierarchically nested factor model from multivariate data
2005
We show how to achieve a statistical description of the hierarchical structure of a multivariate data set. Specifically we show that the similarity matrix resulting from a hierarchical clustering procedure is the correlation matrix of a factor model, the hierarchically nested factor model. In this model, factors are mutually independent and hierarchically organized. Finally, we use a bootstrap based procedure to reduce the number of factors in the model with the aim of retaining only those factors significantly robust with respect to the statistical uncertainty due to the finite length of data records.
Cost-Oriented Recommendation Model for E-Commerce
2012
Contemporary Web stores offer a wide range of products to e-customers. However, online sales are strongly dominated by a limited number of bestsellers whereas other, less popular or niche products are stored in inventory for a long time. Thus, they contribute to the problem of frozen capital and high inventory costs. To cope with this problem, we propose using information on product cost in a recommender system for a Web store. We discuss the proposed recommendation model, in which two criteria have been included: a predicted degree of meeting customer’s needs by a product and the product cost.
The interaction between social media, knowledge management and service quality: A decision tree analysis
2020
The existing literature fails to identify to which extent the utilization of social media could be relevant for increasing the effectiveness of knowledge management, in respect to overall business operations. In order to shed some light on this area we define three goals. Firstly, we investigate to what extent the different activities of clients on social media (SM), are important to the processes of knowledge management (KM) in companies. Secondly, we examine to what extent KM functions can be relevant in attaining the quality of IT services. Thirdly, we analyze to what extent KM mediates between SM and the quality of IT services, that is, which client activities on SM should be formalised…
Pricing method as a tool for improved price perception
2006
In the present paper, we have explored pricing methods applied to charging mobile service customers, and the influences of the charging methods on the customers’ price perceptions. The analyses are based on the empirical data collected from Finnish mobile service markets through a quantitative postal survey in 2003. Four hypotheses were tested separately in two customer segments for examining relationship of pricing methods and price perceptions, and the factors affecting to the customers’ pricing method choices. The statistical analyses provided results suggesting that charging methods have a significant effect on customers’ price perceptions. The customers’ price perceptions were found to…
Key Drivers of Mobile Commerce Adoption. An Exploratory Study of Spanish Mobile Users
2007
Despite dramatic differences between non-store shoppers were discovered, very limited research has been conducted to examine them. This paper analyses the background of M-commerce and key drivers of future Mcommerce decision among Spanish mobile users. Our objective is two-fold: (1) to determine the influence of relations with the Mobile (frequency of Mobile use, length of Mobile use and Mobile affinity), demographics, non-store shopping previous experience (mail, catalogue, Television and Internet) and attitude to M-commerce and its influence on the M-commerce decision and (2) to identify key drivers of future M-commerce intention. We examined data from 606 personal interviews given to Spa…
Fine slicing of the value chain and offshoring of essential activities: empirical evidence from European multinationals
2014
The offshoring of more advanced activities is increasing and a debate about the limits of offshoring has emerged. Companies are fine-slicing their value chains, and moving beyond the offshoring of peripheral and non-core activities to the offshoring of advanced and essential activities that are closer to their core (e.g. research, design and product development). The challenge is to understand the limits of offshoring and the most appropriate modes of offshoring. The purpose of this paper is to analyze what activities are offshorable and how best to govern offshored activities. We argue that companies are redefining their core activities and in this process, some essential activities previo…
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…
Les termes du commerce dans les dictionnaires bilingues et plurilingues
2021
In this article, we analyze a corpus made up of two general French-Italian and Italian-French bilingual dictionaries and two multilingual dictionaries. We take into account, in particular, the macrostructure, the microstructure, the technical terminology and the phraseology of these dictionaries. Using a magnifying glass metaphorically, we focus on the treatment of the specialty language of commerce within the articles of the general bilingual dictionaries. With regard to plurilingual dictionaries, we try to show the lexicographical choices dictated by a requirement of extreme synthesis; the size of a dictionary, especially for schools, influences not only the convenience of consultation bu…