Decision Making in Tree Selection – Contemplating Conflicting Goals via Marteloscope Exercises

Some of life’s most important and difficult decisions are made on behalf of others. However, little is known about how goal conflict influences high-stakes decisions made on behalf of others. A nationally representative sample of U.S. healthcare providers (n = 502) read a statement presenting curative and palliative care goals as conflicting or complementary. We predicted and found that providers who received a goal conflict (vs. complementary) message perceived greater conflict, and rated palliative goals as less important. Providers who received a goal conflict (vs. complementarity) message also rated curative goals as less important. Moreover, there was an indirect link from goal conflict condition to willingness to provide palliative care, mediated by perceived goal conflict. A self-affirmation manipulation reduced providers’ willingness to provide palliative care, but did not influence the effect of goal conflict on decision-making. Findings suggest that goal conflict is consequential for high-stakes decisions made for others, and that goal conflict (vs. complementarity) lowers importance of, and increases disengagement from, conflicting goals.

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Statistical adjustment of the parameters of multi-objective optimization problems with design expert method

Journal of Advanced Computer Science & Technology ◽

10.14419/jacst.v9i1.30656 ◽

2020 ◽

Vol 9 (1) ◽

pp. 6

Author(s):

Atefeh Hasan-Zadeh

Keyword(s):

Decision Making ◽

Experimental Design ◽

Optimization Problems ◽

Optimization Methods ◽

Multi Objective Optimization ◽

Design Expert ◽

Multi Objective ◽

Statistical Adjustment ◽

Engineering And Technology ◽

Conflicting Goals

Optimization methods in which one single criterion is considered cannot provide a comprehensive solution to various decision- making algorithms because they cannot consider the interchange of conflicting goals that sometimes conflict with one another. Multi-objective opti-mization is a suitable solution to this obstacle. Given the importance of multi-objective optimization problems in engineering and technology, adjusting the parameters of these types of problems will, in addition to the decision-making accuracy, facilitate the analysis of the results and makes it more applicable. For this purpose, multi-objective optimization using experimental design methods has been developed which can solve these problems by considering different objectives simultaneously. Mathematical modelling for the setting of the parameters of the considered problem with all the statistical details related to their prediction and optimization have been studied.

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Open Business Intelligence for Better Decision-Making

International Journal of Information Communication Technologies and Human Development ◽

10.4018/jicthd.2013040102 ◽

2013 ◽

Vol 5 (2) ◽

pp. 20-36 ◽

Cited By ~ 5

Author(s):

Jorge Bernardino

Keyword(s):

Decision Making ◽

Business Intelligence ◽

Open Innovation ◽

Knowledge Workers ◽

Specific Area ◽

Global Scale ◽

Innovation Strategy ◽

Enterprise Management ◽

Business Sustainability ◽

Conflicting Goals

Decision-making is a crucial, yet challenging task in enterprise management. In many organizations, decisions are still made based on experience and intuition rather than on facts and rigorous approaches. This is often due to lack of data, unknown relationships between data and goals, conflicting goals and poorly understood risks. The success of organizations depends on fast and well-founded decisions taken by relevant people in their specific area of responsibility. Business Intelligence (BI) is a collection of decision support technologies for enterprises aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. In this paper, the authors review the concept of BI as an open innovation strategy and address the importance of BI in revolutionizing knowledge towards economics and business sustainability. The main objective is to discuss why the concept of BI has become increasingly important and presents some of the top key applications and technologies to implement open BI in organizations, which would like to enter into the new market and operate on a global scale.

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How Digital Strategy and Management Games Can Facilitate the Practice of Dynamic Decision-Making

Education Sciences ◽

10.3390/educsci10040099 ◽

2020 ◽

Vol 10 (4) ◽

pp. 99 ◽

Cited By ~ 3

Author(s):

André Czauderna ◽

Alexandra Budke

Keyword(s):

Decision Making ◽

Critical Reflection ◽

Educational Practice ◽

Dynamic Decision Making ◽

Continuous Series ◽

Management Games ◽

Educational Perspective ◽

Digital Strategy ◽

Conflicting Goals

This paper examines how digital strategy and management games that have been initially designed for entertainment can facilitate the practice of dynamic decision-making. Based on a comparative qualitative analysis of 17 games—organized into categories derived from a conceptual model of decision-making design—this article illustrates two ways in which these games may be useful in supporting the learning of dynamic decision-making in educational practice: (1) Players must take over the role of a decider and solve situations in which players must pursue different conflicting goals by making a continuous series of decisions on a variety of actions and measures; (2) three of the features of the games are considered to structure players’ practice of decision-making and foster processes of learning through the curation of possible decisions, the offering of lucid feedback and the modification of time. This article also highlights the games’ shortcomings, from an educational perspective, as players’ decisions are restricted by the numbers of choices they can make within the game, and certain choices are rewarded more than others. An educational application of the games must, therefore, entail a critical reflection of players’ limited choices inside a necessarily biased system.

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Conflicting goals and their impact on games where payoffs are more or less ambiguous

Behavioral and Brain Sciences ◽

10.1017/s0140525x13001751 ◽

2014 ◽

Vol 37 (1) ◽

pp. 85-87

Author(s):

Astrid Hopfensitz ◽

Emiliano Lorini ◽

Frederic Moisan

Keyword(s):

Decision Making ◽

Social Ties ◽

Two Dimensional ◽

The South ◽

The North ◽

East West ◽

Conflicting Goals

AbstractThe two-dimensional map by Bentley et al. concerns decision-making and not games. The east–west dimension is interpreted as the level at which individuals identify with some larger group. We think that this should be linked to the concept of social ties. We argue that social ties will lead to different outcomes in the “north” compared to the “south.”

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Interdependencies Within the System of Objectives of a Product Generation in Industrial Practice

Proceedings of the Design Society: International Conference on Engineering Design ◽

10.1017/dsi.2019.124 ◽

2019 ◽

Vol 1 (1) ◽

pp. 1185-1194

Author(s):

Albert Albers ◽

Natalie Peglow ◽

Markus Spadinger

Keyword(s):

Decision Making ◽

Product Development ◽

Development Process ◽

Early Stage ◽

Evaluation Criteria ◽

Industrial Practice ◽

Automotive Supplier ◽

Product Generation ◽

Scenario Technique ◽

Conflicting Goals

AbstractOne challenge in product development is the megatrend of product individualization in the automotive supplier industry. Requirements for a variant by the customer may differ from those by the provider wherefore conflicting goals can arise. To cope with variant requests in the quotation phase systematically, a method to evaluate variants is necessary. Based on evaluation criteria the requirements from the stakeholders are valued. While evaluating, an already criterion can have an impact on assessing the remaining criteria. For this reason, the present investigation emphases the interdependencies between the evaluation criteria in industrial practice representing interdependencies within goals, requirements and boundary conditions in an early stage of product development. Analysing decisive factors supports to identify subsequent activities in the development process of a variant. Experts of an international automotive supplier developed impact matrices and a scenario technique tool is used to interpret the matrices. In context of the model of PGE - Product Generation Engineering, findings derive to ensure a comprehensive basis for decision-making concerning a variant-request.

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Goal Conflict Encourages Work and Discourages Leisure

Journal of Consumer Research ◽

10.1093/jcr/ucaa019 ◽

2020 ◽

Author(s):

Jordan Etkin ◽

Sarah A Memmi

Keyword(s):

Decision Making ◽

Consumer Choice ◽

Leisure Activities ◽

Goal Conflict ◽

Specific Work ◽

Time Saving ◽

Use Of Time ◽

Conflicting Goals

Abstract Leisure is desirable and beneficial, yet consumers frequently forgo leisure in favor of other activities—namely, work. Why? We propose that goal conflict plays an important role. Seven experiments demonstrate that perceiving greater goal conflict shapes how consumers allocate time to work and leisure—even when those activities are unrelated to the conflicting goals. This occurs because goal conflict increases reliance on salient justifications, influencing how much time people spend on subsequent, unrelated activities. Because work tends to be easier to justify and leisure harder to justify, goal conflict increases time spent on work and decreases time spent on leisure. Thus, despite the conflicting goals being independent of the specific work and leisure activities considered (i.e., despite goal conflict being “incidental”), perceiving greater goal conflict encourages work and discourages leisure. The findings further understanding of how consumers allocate time to work and leisure, incidental effects of goal conflict on decision-making, and the role of justification in consumer choice. They also have implications for the use of “time-saving” technologies and the marketing of leisure activities.

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Open Business Intelligence for Better Decision-Making

Economics ◽

10.4018/978-1-4666-8468-3.ch033 ◽

2015 ◽

pp. 611-628

Author(s):

Jorge Bernardino

Keyword(s):

Decision Making ◽

Decision Support ◽

Business Intelligence ◽

Open Innovation ◽

Specific Area ◽

Global Scale ◽

Innovation Strategy ◽

Enterprise Management ◽

Business Sustainability ◽

Conflicting Goals

Decision-making is a crucial, yet challenging task in enterprise management. In many organizations, decisions are still made based on experience and intuition rather than on facts and rigorous approaches. This is often due to lack of data, unknown relationships between data and goals, conflicting goals and poorly understood risks. The success of organizations depends on fast and well-founded decisions taken by relevant people in their specific area of responsibility. Business Intelligence (BI) is a collection of decision support technologies for enterprises aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. In this paper, the authors review the concept of BI as an open innovation strategy and address the importance of BI in revolutionizing knowledge towards economics and business sustainability. The main objective is to discuss why the concept of BI has become increasingly important and presents some of the top key applications and technologies to implement open BI in organizations, which would like to enter into the new market and operate on a global scale.

Download Full-text