Online decision aids: the role of decision-making styles and decision-making stages

2020 ◽  
Vol 48 (6) ◽  
pp. 555-574
Author(s):  
Preeti Virdi ◽  
Arti D. Kalro ◽  
Dinesh Sharma
Keyword(s):  
Decision Making ◽  
Decision Aids ◽  
Online Retail ◽  
Consideration Set ◽  
Choice Process ◽  
Content Type ◽  
Choice Making ◽  
Search Tool ◽  
Consideration Set Formation ◽  
Two Stages

PurposeDecision aids (DAs) in online retail stores ease consumers' information processing. However, online consumers do not use all decision aids in purchase decision-making. While the literature has documented the effects of individual decision aids or two decision aids at a time, no study has compared the efficacy of multiple decision aids simultaneously. Also, very few studies have looked at the use of decision aids for consumers with maximizing and satisficing tendencies. Hence, this study aims to understand the preferences of maximizers and satisficers towards online decision aids during the choice-making process.Design/methodology/approachThis is an observational study with 60 individuals who were asked to purchase either a search-based or an experience-based product online. Participants' browsing actions and verbalizations during online shopping, were recorded and analysed using NVivo, and later the use of decision aids was mapped along their choice process.FindingsConsumer's preference of decision aids varies across the two stages of the choice process (that is, consideration set formation and evaluation & choice). In their choice formation, maximizers use different decision aids in both stages, that is, filter tool and in-website search tool for search products, and collaborative filtering-based recommender systems and eWOM for experience products. Satisficers used more decision aids as compared to maximizers across the two stages for both product types.Originality/valueThis study is an exploratory attempt to understand how consumers use multiple decision aids present on e-commerce websites.

An integrated approach to evaluate the risk of adverse events in hospital sector

2018 ◽  
Vol 56 (10) ◽  
pp. 2187-2224 ◽  
Author(s):  
Miguel Angel Ortiz-Barrios ◽  
Zulmeira Herrera-Fontalvo ◽  
Javier Rúa-Muñoz ◽  
Saimon Ojeda-Gutiérrez ◽  
Fabio De Felice ◽  
...  
Keyword(s):  
Decision Making ◽  
Adverse Events ◽  
High Performance ◽  
Decision Aids ◽  
Integrated Approach ◽  
Healthcare Management ◽  
Vikor Method ◽  
Hospital Sector ◽  
Content Type ◽  
Novel Approach

PurposeThe risk of adverse events in a hospital evaluation is an important process in healthcare management. It involves several technical, social, and economical aspects. The purpose of this paper is to propose an integrated approach to evaluate the risk of adverse events in the hospital sector.Design/methodology/approachThis paper aims to provide a decision-making framework to evaluate hospital service. Three well-known methods are applied. More specifically are proposed the following methods: analytic hierarchy process (AHP), a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology developed by Thomas L. Saaty in the 1970s; decision-making trial and evaluation laboratory (DEMATEL) to construct interrelations between criteria/factors and VIKOR method, a commonly used multiple-criteria decision analysis technique for determining a compromise solution and improving the quality of decision making.FindingsThe example provided has demonstrated that the proposed approach is an effective and useful tool to assess the risk of adverse events in the hospital sector. The results could help the hospital identify its high performance level and take appropriate measures in advance to prevent adverse events. The authors can conclude that the promising results obtained in applying the AHP–DEMATEL–VIKOR method suggest that the hybrid method can be used to create decision aids that it simplifies the shared decision-making process.Originality/valueThis paper presents a novel approach based on the integration of AHP, DEMATEL and VIKOR methods. The final aim is to propose a robust methodology to overcome disadvantages associated with each method.

Stressed decision makers and use of decision aids: a literature review and conceptual model

2019 ◽  
Vol 33 (2) ◽  
pp. 710-754 ◽  
Author(s):  
Monica Adya ◽  
Gloria Phillips-Wren
Keyword(s):  
Decision Making ◽  
Conceptual Model ◽  
Perceived Stress ◽  
Decision Aids ◽  
Decision Makers ◽  
Decision Quality ◽  
Negative Effects ◽  
Managerial Decision ◽  
Content Type ◽  
The Impact

Purpose Decision making is inherently stressful since the decision maker must choose between potentially conflicting alternatives with unique hazards and uncertain outcomes. Whereas decision aids such as decision support systems (DSS) can be beneficial in stressful scenarios, decision makers sometimes misuse them during decision making, leading to suboptimal outcomes. The purpose of this paper is to investigate the relationship between stress, decision making and decision aid use. Design/methodology/approach The authors conduct an extensive multi-disciplinary review of decision making and DSS use through the lens of stress and examine how stress, as perceived by decision makers, impacts their use or misuse of DSS even when such aids can improve decision quality. Research questions examine underlying sources of stress in managerial decision making that influence decision quality, relationships between a decision maker’s perception of stress, DSS use/misuse, and decision quality, and implications for research and practice on DSS design and capabilities. Findings The study presents a conceptual model that provides an integrative behavioral view of the impact of a decision maker’s perceived stress on their use of a DSS and the quality of their decisions. The authors identify critical knowledge gaps and propose a research agenda to improve decision quality and use of DSS by considering a decision maker’s perceived stress. Originality/value This study provides a previously unexplored view of DSS use and misuse as shaped by the decision and job stress experienced by decision makers. Through the application of four theories, the review and its findings highlight key design principles that can mitigate the negative effects of stressors on DSS use.

scholarly journals Enhancing classroom instruction with online news

2020 ◽  
Vol 72 (5) ◽  
pp. 725-744
Author(s):  
Michael D. Ekstrand ◽  
Katherine Landau Wright ◽  
Maria Soledad Pera
Keyword(s):  
Information Seeking ◽  
Critical Incident ◽  
Online News ◽  
Future Research ◽  
Informational Texts ◽  
Information Need ◽  
Content Type ◽  
Search Tool ◽  
K 12 ◽  
Two Stages

PurposeThis paper investigates how school teachers look for informational texts for their classrooms. Access to current, varied and authentic informational texts improves learning outcomes for K-12 students, but many teachers lack resources to expand and update readings. The Web offers freely available resources, but finding suitable ones is time-consuming. This research lays the groundwork for building tools to ease that burden.Design/methodology/approachThis paper reports qualitative findings from a study in two stages: (1) a set of semistructured interviews, based on the critical incident technique, eliciting teachers' information-seeking practices and challenges; and (2) observations of teachers using a prototype teaching-oriented news search tool under a think-aloud protocol.FindingsTeachers articulated different objectives and ways of using readings in their classrooms, goals and self-reported practices varied by experience level. Teachers struggled to formulate queries that are likely to return readings on specific course topics, instead searching directly for abstract topics. Experience differences did not translate into observable differences in search skill or success in the lab study.Originality/valueThere is limited work on teachers' information-seeking practices, particularly on how teachers look for texts for classroom use. This paper describes how teachers look for information in this context, setting the stage for future development and research on how to support this use case. Understanding and supporting teachers looking for information is a rich area for future research, due to the complexity of the information need and the fact that teachers are not looking for information for themselves.

scholarly journals Toward a holistic understanding of performance in Lean Manufacturing: a discussion on the relevance of its indicators

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Diana Cardenas-Cristancho ◽  
Laurent Muller ◽  
Davy Monticolo ◽  
Mauricio Camargo
Keyword(s):  
Decision Making ◽  
Performance Indicators ◽  
Lean Manufacturing ◽  
Human Factor ◽  
Content Type ◽  
Novel Approach ◽  
Holistic Understanding ◽  
Overall Performance ◽  
Two Stages ◽  
Practical Implications

Purpose This study aims to propose a novel approach to select and prioritize performance indicators in Lean Manufacturing depending on whether they are influencing or being influenced by others, thereby assisting in the decision-making process for improving overall performance. Design/methodology/approach The methodology comprises two stages. First, a literature review was conducted to identify the performance indicators, and then their interrelationships were analyzed by means of the decision-making trial and evaluation laboratory (DEMATEL) multi-criteria decision-making (MCDM) method. Findings The results provide a comprehensive visualization of the performance indicators in Lean Manufacturing, with a total of 50 identified indicators. Among these, 29 were categorized as causal, meaning that their results mainly influence the others, and 21 as influenced, with their results mostly being influenced by others. Among the causal indicators, those related to the human factor (eight indicators) were the most predominant. However, the most-cited performance families in the literature do not stand out as being causal, but rather as mostly influenced. Practical implications This study can help managers improve and analyze performance more effectively, while focusing on the importance of choosing causal over influenced indicators. Originality/value Performance measurement plays a crucial role for organizations, but because of the increasing number of metrics, there lacks an established framework. This exploratory study thus opens the discussion on relevance to determine a group of coherent and connected indicators that could help measure performance in a more comprehensive manner, rather than in several isolated parts.

Decision aids for alternative techniques in urban storm management

1995 ◽  
Vol 32 (1) ◽  
pp. 41-48 ◽  
Author(s):  
Y. Azzout ◽  
S. Barraud ◽  
F. N. Cres ◽  
E. Alfakih
Keyword(s):  
Decision Making ◽  
Decision Aids ◽  
Decision Making Process ◽  
Urban Stormwater ◽  
Elimination Phase ◽  
Poor Understanding ◽  
Preliminary Study ◽  
Alternative Techniques ◽  
Urban Storm ◽  
Decision Making Tool

The choice of alternative techniques in urban stormwater drainage (infiltration and detention systems), in the course of a project, is most often made with a poor understanding of site constraints, and the possibilities afforded by these techniques. This gives rise to extra costs and also subsequent malfunctioning. To arrive at feasible choices, we have formalised the decision-making process, taking account of the multiple criteria and the large number of partners involved. At present, we are developing a decision-making tool for alternative techniques in urban stormwater management at the preliminary study stage. The first phase makes it possible to eliminate solutions which are unworkable (elimination phase). It is aimed at the designer. Work on the next phase (the decision-making phase), which is more complex, is in progress. It will make it possible, in collaboration with all the partners involved, to choose a stormwater drainage strategy which will best suit the objectives and the wishes of the partners. It uses multi-criteria methods.

Impact of relatedness, uncertainty and slack on corporate entrepreneurship decisions

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Robert Garrett ◽  
Shaunn Mattingly ◽  
Jeff Hornsby ◽  
Alireza Aghaey
Keyword(s):  
Decision Making ◽  
Hierarchical Linear Modeling ◽  
Cognitive Strategies ◽  
Corporate Entrepreneurship ◽  
New Venture ◽  
Organizational Level ◽  
Linear Modeling ◽  
Slack Resources ◽  
Content Type ◽  
Positive Effect

PurposeThe purpose of this study is to evaluate the effect of opportunity relatedness and uncertainty on the decision of a corporate entrepreneur to pursue a venturing opportunity.Design/methodology/approachThe study uses a conjoint experimental design to reveal the structure of respondents' decision policies. Data were gathered from 47 useable replies from corporate entrepreneurs and were analyzed with hierarchical linear modeling (HLM).FindingsResults show that product relatedness, market relatedness, perceived certainty about expected outcomes and slack resources all have a positive effect on the willingness of a corporate entrepreneur to pursue a new venture idea. Moreover, slack was found to diminish the positive effect of product relatedness on the likelihood to pursue a venturing opportunity.Practical implicationsBy providing a better understanding of decision-making schemas of corporate entrepreneurs, the findings of this study help improve the practice of entrepreneurship at the organizational level. In order to make more accurate opportunity assessments, corporate entrepreneurs need to be aware of their cognitive strategies and need to factor in the salient criteria affecting such assessments.Originality/valueThis paper adds to the limited understanding of corporate-level decision-making with regard to pursuing venturing opportunities. More specifically, the paper adds new insights regarding how relatedness and uncertainty affect new venture opportunity assessments in the presence (or lack thereof) of slack resources.

Making investment decisions in stock markets using a forecasting-Markowitz based decision-making approaches

2019 ◽  
Vol 15 (2) ◽  
pp. 647-659 ◽  
Author(s):  
Zahra Moeini Najafabadi ◽  
Mehdi Bijari ◽  
Mehdi Khashei
Keyword(s):  
Decision Making ◽  
Time Series ◽  
Stock Markets ◽  
Time Series Prediction ◽  
Investment Decisions ◽  
Rate Of Return ◽  
Expected Returns ◽  
Prediction Methods ◽  
Content Type ◽  
Markowitz Model

Purpose This study aims to make investment decisions in stock markets using forecasting-Markowitz based decision-making approaches. Design/methodology/approach The authors’ approach offers the use of time series prediction methods including autoregressive, autoregressive moving average and artificial neural network, rather than calculating the expected rate of return based on distribution. Findings The results show that using time series prediction methods has a significant effect on improving investment decisions and the performance of the investments. Originality/value In this study, in contrast to previous studies, the alteration in the Markowitz model started with the investment expected rate of return. For this purpose, instead of considering the distribution of returns and determining the expected returns, time series prediction methods were used to calculate the future return of each asset. Then, the results of different time series methods replaced the expected returns in the Markowitz model. Finally, the overall performance of the method, as well as the performance of each of the prediction methods used, was examined in relation to nine stock market indices.

Sign in / Sign up

Export Citation Format

Share Document