Do consumers know what they want?

2001 ◽  
Vol 18 (5) ◽  
pp. 437-448 ◽  
Author(s):  
Hernan Riquelme

Predicting one’s own decision‐making policies is evidently a useful skill. How good are consumers at it? In spite of its importance, the question has not been much studied directly, although hints can be found in several parts of the literature. This article describes an experiment that identifies how much knowledge consumers have about an important purchase: a mobile phone. A total of 94 consumers provided ratings of the importance of six attributes and preference for several choices of mobile phone plans that were advertised in the market. Consumers’ self‐knowledge was assessed by three methods: comparing the product attribute importance derived from the subject’s model with the attribute importance derived from a conjoint analysis model; comparison of predicted judgments generated by the subject’s model with their holistic judgments; and comparison of the actual purchase of a mobile phone with the prediction generated by the subject’s model. Results show that consumers have a relatively good predictive power of a product they have chosen. However, this knowledge is not perfect. The results have important implications for companies that collect information about preferences from consumers.

2018 ◽  
Vol 38 (6) ◽  
pp. 746-755 ◽  
Author(s):  
Marieke G.M. Weernink ◽  
Janine A. van Til ◽  
Holly O. Witteman ◽  
Liana Fraenkel ◽  
Maarten J. IJzerman

Background. There is an increased practice of using value clarification exercises in decision aids that aim to improve shared decision making. Our objective was to systematically review to which extent conjoint analysis (CA) is used to elicit individual preferences for clinical decision support. We aimed to identify the common practices in the selection of attributes and levels, the design of choice tasks, and the instrument used to clarify values. Methods. We searched Scopus, PubMed, PsycINFO, and Web of Science to identify studies that developed a CA exercise to elicit individual patients’ preferences related to medical decisions. We extracted data on the above-mentioned items. Results. Eight studies were identified. Studies included a fixed set of 4–8 attributes, which were predetermined by interviews, focus groups, or literature review. All studies used adaptive conjoint analysis (ACA) for their choice task design. Furthermore, all studies provided patients with their preference results in real time, although the type of outcome that was presented to patients differed (attribute importance or treatment scores). Among studies, patients were positive about the ACA exercise, whereas time and effort needed from clinicians to facilitate the ACA exercise were identified as the main barriers to implementation. Discussion. There is only limited published use of CA exercises in shared decision making. Most studies resembled each other in design choices made, but patients received different feedback among studies. Further research should focus on the feedback patients want to receive and how the CA results fit within the patient–physician dialogue.


2021 ◽  
Author(s):  
Jun Zheng ◽  
Jingming Wei ◽  
Ying Xie ◽  
Siyao Chen ◽  
Jun Li ◽  
...  

Abstract Background: Quality and cost of medical device maintenance are dominant factors influencing hospitals’ decision in choosing medical endoscope products. Effective and efficient medical device maintenance are also paramount for providing cost-effective and high quality of medical care. This research aims to facilitate decision-making at hospitals in choosing the suitable endoscope device and the associated maintenance service; it also aims to facilitate decision-making at suppliers to develop the right products and services to fulfill customer demands.Methods: A cross-sectional survey was undertaken in 50 Chinese hospitals, including primary and tertiary hospitals. Moreover, 65 medical staff and 56 medical engineers were recruited from 50 Chinese hospitals. A comprehensive set of attributes were defined and investigated. Conjoint analysis and orthogonal design were used for survey design and statistical analysis. Results: Attribute importance and utility values of decision-making factors were analyzed at the aggregate, occupation, and medical institution levels. (1) At the aggregate level, the most critical factor is "maintenance response" and the least important one is "maintenance efficiency". (2) At the occupation level, medical staff paid more attention to "maintenance response" and medical engineers paid more attention to "maintenance quality". (3) At the medical institution level, Primary hospitals paid more attention to "maintenance price", while tertiary hospitals paid more attention to "maintenance quality". Conclusions: In general, this study provides a more scientific decision-making tool to both hospitals in choosing maintenance service of medical equipment such as endoscopy, and it also helps manufacturers and suppliers improve the after-sales service.


2021 ◽  
Vol 13 (14) ◽  
pp. 7887
Author(s):  
Verónica Muñoz-Arroyave ◽  
Miguel Pic ◽  
Rafael Luchoro-Parrilla ◽  
Jorge Serna ◽  
Cristòfol Salas-Santandreu ◽  
...  

The aim of this research was to study from a multidimensional point of view (decisional, relational and energetic) the interpersonal relationships established by girls and boys in the traditional sport game of Elbow Tag. Scientific evidence has shown that Traditional Sport Games (TSG) trigger different effects on male and female genders in relation to emotional experiences, decision-making, conflicts and motor relationships. Despite the fact that these dimensions are intertwined, there are hardly any studies that interpret motor behaviors holistically, i.e., taking a multidimensional (360°) view of these dimensions. For this study, a quasi-experimental design was used and a type III design was applied, inspired by the observational methodology N/P/M. A total of 147 university students participated (M = 19.6, SD = 2.3): 47 girls (31.97%) and 100 boys (68.02%). A mixed ‘ad hoc’ registration system was designed with acceptable margins of data quality. Cross-tabulations, classification trees and T-patterns analysis were applied. The results indicated that social interactions between girls and boys in a mixed group were unequal. This difference was mainly due to decision-making (sub-role variable), which has much greater predictive power than the energetic variables (MV and steps).


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tobias Berger ◽  
Frank Daumann

PurposeThe NBA Draft policy pursues the goal to provide the weakest teams with the most talented young players to close the gap to the superior competition. But it hinges on appropriate talent evaluation skills of the respective organizations. Research suggests the policy might be valid but to date unable to produce its intended results due to the “human judgement-factor”. This paper investigates specific managerial selection-behavior-influencing information to examine why decision-makers seem to fail to constantly seize the opportunities the draft presents them with.Design/methodology/approachAthleticism data produced within the NBA Draft Combine setting is strongly considered in the player evaluations and consequently informs the draft decisions of NBA managers. Curiously, research has failed to find much predictive power within the players pre-draft combine results for their post-draft performance. This paper investigates this clear disconnect, by examining the pre- and post-draft data from 2000 to 2019 using principal component and regression analysis.FindingsEvidence for an athletic-induced decision-quality-lowering bias within the NBA Draft process was found. The analysis proves that players with better NBA Draft Combine results tend to get drafted earlier. Controlling for position, age and pre-draft performance there seems to be no proper justification based on post-draft performance for this managerial behavior. This produces systematic errors within the structure of the NBA Draft process and leads to problematic outcomes for the entire league-policy.Originality/valueThe paper delivers first evidence for an athleticism-induced decision-making bias regarding the NBA Draft process. Informing future selection-behavior of managers this research could improve NBA Draft decision-making quality.


2016 ◽  
Vol 25 (2) ◽  
Author(s):  
Flávia Paula Magalhães Monteiro ◽  
Thelma Leite de Araujo ◽  
Tahissa Frota Cavalcante ◽  
Telma Alteniza Leandro ◽  
Silvestre Péricles Cavalcante Sampaio Filho

ABSTRACT The aim of this study was to analyze the concept of child growth by identifying the attributes and consequences that make up the phenomenon. The concept analysis was supported by 41 studies and based on the evolutionary analysis model and integrative literature review. Five databases, Scopus, CINAHL, LILACS, PubMed, and the Cochrane Library were searched to select articles. The search found that growth has presented different connotations, including social and physiological aspects, which are part of the physical domain of child development. Attributes, antecedents, and consequences identified provide an overview of the phenomenon analyzed, because these point out several aspects previously related to other studies on child growth. The theoretical understanding about child growth can offer nurses in-depth knowledge about factors involved in this process, facilitating intervention-based decision-making.


Mobile phone business competition moves faster and more complex. This situation forces mobile phone manufacturers to be more creative and innovative in creating new products. Perfectionistic difference is one of the reasons consumers are willing to pay more for a brand of mobile phone products that are considered quality product. Marketing activities play a role in consumer purchasing decisions in addition to customer confidence in a product so that confidence arises in the purchasing actions taken. This research is quantitative research, a type of research with the characteristics of the problem in the form of influence relations. This study uses perfectionistic, and brand conscious as an independent variable and consumer decision-making style as a dependent variable. This study is aimed to look at the regression relationship between perfectionistic and brand conscious variable and the consumer decision making style of the young adults in Batam in purchasing mobile phone products. 393 private college students in Batam were taken as respondents by using proporsive sampling technique. The results of data analysis and hypothesis testing showed that Perfectionistic significantly influenced Consumer Decision-making Style, Brand Conscious had an influence on Consumer Decision-making Style and Perfectionistic and Brand Conscious simultaneously influenced Consumer Decision-making Style.


2021 ◽  
Vol 12 (2) ◽  
pp. 422-438
Author(s):  
Tugba Polat ◽  
Safak Kiris

In today's competitive environment, enterprises should use their resources correctly; they should continuously improve themselves and work efficiently. It is important to evaluate the performances of the units under the same conditions in enterprises according to each other, to see the current situations and to determine appropriate improvements in necessary points. One of the commonly used approaches to performance evaluation is Data Envelopment Analysis. Many approaches have been developed for the Data Envelopment Analysis model, and Goal programming using in multi-objective decision making solutions approaches is one of them. Goal Programming gives decision-makers the opportunity to evaluate many objectives together in the decision-making process. In this study, classical Data Envelopment Analysis and weighted goal programming approach for multi-criteria data envelopment analysis model was applied in the evaluation process of the projects worked in an automotive supplier industry. A knowledge system has also been proposed in order to evaluate the effectiveness of the projects periodically and to include new projects or conditions into the evaluation.


Author(s):  
Siham Abdulmalik Mohammed Almasani ◽  
Valery Ivanovich Finaev ◽  
Wadeea Ahmed Abdo Qaid ◽  
Alexander Vladimirovich Tychinsky

<p>The main purpose of this research is developing methods and models of decision-making to assess the stock market state, and predict the possible changes in the RTS index value. This article shows that the analytical models for assessing the stock market state do not give reliable results. The absence of the reliable estimates associated with the high degree of uncertainty, random, nonlinear and non-stationary process with a significant degree of aftereffect. In this paper, to formalize the securities market parameters it’s proposed the fuzzy sets method. To assess the stock market current state and make decisions the fuzzy situational analysis model (situational model) is applied. The analytical prediction results of the stock market and graph of the RTS index expected return changes in 2014-2016 are showed. The model of calculating the fuzzy inference rules truth degree to predict the RTS index is developed. The market parameters linguistic definition is given and the expert’s rules construction to predict the RTS index growth is shown. The program in Matlab environment is designed to perform research. The study result showed that the model allows for the RTS index prediction in the condition of incomplete initial data with a confidence level about 90%.</p>


2015 ◽  
Vol 7 (4) ◽  
pp. 57-72
Author(s):  
Jarmo Heinonen

Previous research has shown that neuromarketing and conjoint analysis have been used in many areas of consumer research, and to provide for further understanding of consumer behaviour. Together these two methods may reveal more information about hidden desires, expectations and restrains of consumers' brain. This paper attempts to examine these two research methods together as a companied analysis. More specifically this study utilizes fMRI and conjoint analysis as a tool for analysing consumer's preferences and decision making in e-health and ITC products. This paper provides theoretical background with short history of conjoint analysis and contributions for the audience of consumer research: 1. how conjoint evaluation models works; 2. different conjoint models; 3. counting attribute interactions in conjoint analysis; and 4. brain activation triggers in fMRI and connection to conjoint analysis. Researchers of consumer behaviour may learn a new method for understanding user´s preferences and decision making from e-services and mobile applications. E-services and mobile applications need to be successfully analysed for various marketing segments of new products. An application might appeal well to consumer, but what is known about the attributes that makes consumer act? The customer might orally request other than her brain will inform. Needs could be derived from product parts or attribute bundles of mobile applications. The knowledge will help the producer to target new applications to relevant marketing segments.


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