Search results for "Attribute level"

showing 6 items of 6 documents

Inferring Decision Strategies from Clickstreams in Decision Support Systems: A New Process-Tracing Approach using State Machines

2011

The importance of online shopping has grown remarkably over the last decade. In 2009, every West European spent on average € 483 online and this amount is expected to grow to € 601 in 2014. In Germany, the number of online shoppers has almost doubled since 2000: 44% of all adults regularly buy products onlinetoday. In Western Europe, online sales reached € 68 billion in 2009 and Forrester research forecasts it will reach € 114 billion by 2014 with an 11% compound annual growth rate.

Decision support systemFinite-state machineProcess tracingWestern europeBusinessCompound annual growth rateMarketingDecision makerAttribute level
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INTACMATO: An IIMT-Prototype

2011

In the previous chapter, we pointed out that although users evaluate IIMT very positively, only a limited number of IIMT are offered. We assume that the main reason for this is that online sellers do not know which IIMT they should offer and what they should exactly look like. We address these two aspects in this chapter. Firstly, we review literature on IDA in the field of human interaction. We discuss several drawbacks of current approaches as well as the resulting requirements for the design of IIMT. Secondly, we break down observed decision-making behavior into typical steps decision makers apply in their decision processes. These steps indicate which IIMT would offer appropriate decisi…

Decision support systembusiness.industryHuman interactionComputer scienceCollaborative filteringUsabilityAspiration levelDecision processbusinessData scienceField (computer science)Attribute level
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Quantitative Evaluation of INTACMATO

2011

The main purpose of the empirical study which we present in this chapter is to evaluate the IIMT-prototype (INTACMATO). INTACMATO is evaluated across the criteria: perceived ease of use (effort), perceived usefulness, shopping enjoyment, confidence, and satisfaction. The results show that – compared to a control group of more than 30 students who just saw a product-comparison matrix without any IIMTs – the web store with INTACMATO was evaluated more positively across all five evaluation criteria.

Matrix (mathematics)Empirical researchbusiness.industryComputer scienceGroup (mathematics)StatisticsUsabilitybusinessAttribute level
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An Effort-Accuracy Framework for IIMT

2011

In this chapter, we analyze to what extent INTACMATO meets the requirement of low effort. We take an existing effort-accuracy model, adapt and extend it to INTACMATO and show analytically the savings of effort achieved.

Operations researchComputer scienceDecision strategyDecision makerAttribute level
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Design and analysis of discrete choice experiments for models with response time

2013

Settore SECS-S/02 - Statistica Per La Ricerca Sperimentale E TecnologicaA sector of conjoint analysis (experimental design in marketing research) is made of the so called choice experiments. In choice experiments respondents undergo a questionnaire which is nowadays mostly submitted through the internet. The questionnaire proposes to the respondent a sequence of choice sets each one including two or more profiles being a profile a specific combination of attribute levels. The respondent selects the preferred profile for each choice set. Responses given by a sample of respondents are analysed through suitable methods aimed to eventually find the best combination of attribute levels. One method of analysis adopts the Multinomial Logit (MLN) model. In this article the authors show the results of the MLN analysis compared with another model of analysis which uses an additional response which can be easily recorded by electronically submitted questionnaires. In practice modern survey platforms like “Qualtrics” (the one used for this work) can record the so called “response latency” i.e. the time taken by the respondent to make the choice and select the most preferred profile in the choice set. Thanks to a response latency model further refined in this work it is possible to deduce the relative weight of importance of the profiles for each choice set and respondent. This type of response can be used in place of the dichotomous choice variable in the MLN model. The two models and methods of analysis are deeply compared and it is critically discussed when it is better to use one or the other method. As a result a more reliable estimate of the optimal profile comes up implying lower risks for new investments and marketing decisions.
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Fundamentals on Decision-Making Behavior

2011

This introductory chapter describes the fundamentals for later analysis, modeling and discussion of choice tasks and behavior. Figure 2.1 depicts the basic elements of the choice process which are relevant for the present work. On the left hand side, we see the general problem the decision makers are faced with: the choice task. Generally speaking, a choice task defines the problem of choosing the preferred out of a discrete and finite set of alternatives. The decision makers’ preferences determine what the preferred alternative is. Thus, in Sect. 2.1, we define both choice tasks and preferences.

Work (electrical)Operations researchComputer scienceProcess (engineering)General problemDecision makerFinite setTask (project management)Attribute level
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