Search results for "conjoint analysi"
showing 10 items of 20 documents
Meet–Test–Treat for HCV management: patients’ and clinicians’ preferences in hospital and drug addiction services in Italy
2022
Abstract Background It has been estimated that the incidence of chronic hepatitis C virus (HCV) will not decline over the next 10 years despite the improved efficacy of antiviral therapy because most patients remain undiagnosed and/or untreated. This study aimed to investigate the opinion of relevant target populations on the practicability, effectiveness and best modalities of the test-and-treat approach in the fight against HCV in Italy. Methods A survey was delivered to patients with HCV from the general population, patients from drug addiction services, hospital physicians and healthcare providers for drug addiction services. Results For both hospital clinicians and SerD HCPs, tolerabil…
Mining customer requirements from online reviews: A product improvement perspective
2016
We propose a filtering model to predict helpfulness of reviews for product design.We provide a way to use the KANO model based on online reviews.We explore how to obtain insights from Big Data through knowledge-based view. Big data commerce has become an e-commerce trend. Learning how to extract valuable and real time insights from big data to drive smarter and more profitable business decisions is a main task of big data commerce. Using online reviews as an example, manufacturers have come to value how to select helpful online reviews and what can be learned from online reviews for new product development. In this research, we first proposed an automatic filtering model to predict the help…
Project Management Information Systems (PMISs): A Statistical-Based Analysis for the Evaluation of Software Packages Features
2021
Project Managers (PMs) working in competitive markets are finding Project Management Information Systems (PMISs) useful for planning, organizing and controlling projects of varying complexity. A wide variety of PMIS software is available, suitable for projects differing in scope and user needs. This paper identifies the most useful features found in PMISs. An extensive literature review and analysis of commercial software is made to identify the main features of PMISs. Afterwards, the list is reduced by a panel of project management experts, and a statistical analysis is performed on data acquired by means of two different surveys. The relative importance of listed features is properly comp…
Preference Oriented Measurement of Advertising Response
2015
As the information overload and an extension of the mass media reduces the possibility to get the message to the target group, the firms have to increase their advertising budget to reach the same amount of ad contacts. To be sure, that they don’t waste the money, the companies more often use the instrument of pretesting the commercial campaign. The aim of this paper is to document the advantages of the conjoint-analysis (CA) as a technique for pretesting ads. To evaluate the possibility of using the CA we try in to measure in an empirical study, if informative and emotional ads have an influence on the preferences of the respondent.
Analysis of User Needs for the Redesign of a Postural Seat System
2009
The identification and translation of customer needs early in the design process is a major challenge for product design researchers. Some needs are explicit and customers can state them very clearly. Other needs are implicit, so customers cannot express them, e.g., those pertaining to the affective and emotional sphere. In this work, we describe the methods most commonly used to capture explicit and emotional customer needs, and the traditional ways in which they are used. Moreover, an integration of QFD and Kansei engineering, a simplification of Kano methodology, and a new attribute weighing methodology based on the “choice time” are discussed for the design of an innovative postural sea…
Conjoint Analysis as an Instrument of Market Research Practice
2007
The essay by the psychologist, Luce, and the statistician, Tukey (1964) can be viewed as the origin of conjoint analysis (Green and Srinivasan 1978; Carroll and Green 1995). Since its introduction into marketing literature by Green and Rao (1971) as well as by Johnson (1974) in the beginning of the 1970s, conjoint analysis has developed into a method of preference studies that receives much attention from both theoreticians and those who carry out field studies. For example, Cattin and Wittink (1982) report 698 conjoint projects that were carried out by 17 companies included in their survey in the period from 1971 to 1980. For the period from 1981 to 1985, Wittink and Cattin (1989) found 66…
A conjoint analysis of customers' preferences for e-banking channels
2021
Internet has transformed the manner in which banks interact with the customers. The purpose of the paper is to measure customers' preferences towards different channel attributes namely: internet banking, mobile banking and payment portals at a composite level that reflect the relative importance of usage attributes, i.e., payment type, transaction size, motivation to use and rate of urgency. Conjoint analysis was applied to estimate utilities for these attributes and to determine the existence of consumer groups with similar preference profiles. Furthermore, our study shows that the most preferred combination of utilities are customers preference to use payment portal, for 'paying bills' o…
Constrained Clusterwise Linear Regression
2005
In market segmentation, Conjoint Analysis is often used to estimate the importance of a product attributes at the level of each single customer, clustering, successively, the customers whose behavior can be considered similar. The preference model parameter estimation is made considering data (usually opinions) of a single customer at a time, but these data are usually very few as each customer is called to express his opinion about a small number of different products (in order to simplify his/her work). In the present paper a Constrained Clusterwise Linear Regression algorithm is presented, that allows simultaneously to estimate parameters and to cluster customers, using, for the estimati…
The Influence of Context-Based Complexity on Decision Processes
2011
In this chapter, we present an empirical study which investigates the influence of context-based complexity on decision processes.1 To determine context-based complexity accurately, we measure each subject’s preferences individually with two advanced techniques from marketing research: choice-based conjoint analysis (CBC, Haaijer and Wedel 2007) and pairwise-comparison-based preference measurement (PCPM, Scholz et al. 2010), rather than relying on less precise estimates of preferences. Furthermore, we use eye tracking to trace the process of information acquisition precisely. Our results show that low context-based complexity leads to less information acquisition and more alternative-wise s…
Dealing with Product Similarity in Conjoint Simulations
2001
One of the reasons conjoint analysis has been so popular as a management decision tool has been the availability of a choice simulator. These simulators often arrive in the form of a software or spreadsheet program accompanying the output of a conjoint study. These simulators enable managers to perform ‘what if’ questions about their market—estimating market shares under various assumptions about competition and their own offerings. As examples, simulators can predict the market share of a new offering; they can estimate the direct and cross elasticity of price changes within a market, or they can form the logical guide to strategic simulations that anticipate short- and long-term competiti…