E-satisfaction as a construct has gained increasing importance in the marketing literature in recent times. The examination of consumer satisfaction in an e-commerce context follows the growing consensus that in Internet retailing, as in traditional retailing, consumer satisfaction is not only a critical performance outcome, but also a primary predictor of customer online purchase intention. Th...

BACKGROUND Receiving information about their disease and treatment is very important to patients with cancer. There is an association between feeling appropriately informed and better quality of life. This audit aimed to estimate patient satisfaction with perioperative information in those undergoing surgery for lung cancer and any change in satisfaction over time. METHODS A questionnaire (EO...

A crucial problem for many results and tools about bigraphs and bigraphical reactive systems is bigraph embedding. An embedding is more informative than a bigraph matching, since it keeps track of the correspondence between the various components of the redex (guest) within the agent (host). In this paper, we present an algorithm for computing embeddings based on a reduction to a constraint sat...

Agents are goal-driven entities, and the goal achievement is affected by the robustness of information supply required to achieve the goal. This research addresses fault tolerance in information sharing networks, and shows that the construction of information sharing networks, in the way that an agent can tolerate k concurrent information source failures, can be expressed as a constraint satisf...

Consider a population consisting of n individuals, each of whom has one of d types (e.g. their blood type, in which case d = 4). We are allowed to query this database by specifying a subset of the population, and in response we observe a noiseless histogram (a d-dimensional vector of counts) of types of the pooled individuals. This measurement model arises in practical situations such as poolin...

Data sets that have been collected from multiple sources or extracted from the web or often highly incomplete and heterogeneous, which makes them hard to process and query. One way to address this challenge is to use ontologies, which provide a way to assign a semantics to the data, to enrich it with domain knowledge, and to provide an enriched and uniform vocabulary for querying. The combinati...

In this paper we study the complexity of the maximum constraint satisfaction problem (Max CSP) over an arbitrary finite domain. An instance of Max CSP consists of a set of variables and a collection of constraints which are applied to certain specified subsets of these variables; the goal is to find values for the variables which maximize the number of simultaneously satisfied constraints. Usin...

A number of recent marketing studies examine the stock market's response to the release of American Customer Satisfaction Index (ACSI) scores. The broad purpose of these studies is to investigate the stock market's valuation of customer satisfaction. However, a key focus is on whether customer satisfaction information predicts long-run returns. We provide evidence on the market's pricing of ACS...

Constructive methods obtain solutions to constraint satisfaction problem instances by iteratively extending consistent partial assignments. In this research, we study the solution paths in the search space of constructive methods and examine their distribution among the assignments of the search space. By properly employing the entropy of this distribution, we derive measures of the average amo...