No description available.

No description available.

No description available.

The purpose of this study was to answer the question: how do children influence attraction choice while on vacation? A cross-sectional, self-administered, web-based survey of 99 adult facilitators visiting one of three tourist attractions in Winnipeg, Canada with at least one child between the ages of six and 17 was used to: 1) gain insight on how groups with a child/children prefer to travel; 2) understand the reasons why groups with a child/children choose to visit a select type of attraction; 3) examine the views of adult facilitators who travel with a child/children on the child/children’s participation with regards to the selection of tourist attractions; and 4) investigate which attraction characteristics adult facilitators believe provide their entire group with the most satisfying experience. Results indicate that children have relatively little direct influence within the family or group unit on attraction choice.

Traditionally, feasibility analysis in the construction sector is limited to financial considerations. As the concept of sustainability becomes increasingly important, the methods used in a feasibility analysis have to be reconfigured in a way that incorporates elements of sustainability. This research uses water recycling systems (within the built environment) as an example to demonstrate how sustainability factors can be integrated quantitatively in feasibility studies. The model is structured in a triple-bottom-line framework, which consists of economic, environmental, and social aspects. Each aspect is measured by a spectrum of parameters, which evaluate three project outcomes of water recycling systems—water savings, project requirements, and positive image. Based on the quantified parameters, Green Factor, a decision making method, is formulated to assist in sustainability oriented feasibility analysis for construction projects.

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No description available.

The aim of this study was to examine age-related differences in decision-making competence. The study is a part of the ongoing Betula project (Nilsson et al., 1997; 2004), and the data included test results from (N, 364) corresponding to the questionnaires with complete responses (>80%) to the items addressed. The Swedish version of the Adult Decision-Making Competence (A-DMC) battery was used. An exploratory factor analysis of the A-DMC data yielded a two-component solution: The A-DMC tasks were divided into Factor 1 (Applying Decision Rules, Resistance to Framing and Consistency in Risk Perception tasks), and Factor 2 (Under/Overconfidence, Resistance to Sunk Costs and Recognizing Social Norms). These two factors showed opposite age effects, where Factor 1 (analytic decision making) declined with age, whereas Factor 2 (heuristic decision competence) was not negatively affected by old age. / Betula Project

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The question regarding whether to produce in-house or to purchase from an external supplier is nowadays commonly highlighted as a central and strategic decision for manufacturing firms. Furthermore, the importance of creating a competitive and consistent make-or-buy strategy that is adapted to the context of the firm as well as to today´s dynamic business environment cannot be underestimated. Today, the division Surface and Exploration Drilling (SED) within Atlas Copco Rock Drills AB in Örebro lack a standardized and holistic process to support this decision making, why this is requested. Consequently, this master thesis aims to, in line with Atlas Copco´s business strategy, develop a decision model in order to facilitate the make-or-buy decision at the SED. In order to be able to fulfill the purpose, a thorough examination of the contemporary academic findings was executed. Furthermore, as the requested make-or-buy decision model should be adapted to the firm’s contextual circumstances, SED´s corporate strategy was analyzed and interviews with concerned employees from different functions were conducted. As a result of this, an initial list of parameters that affect the make-or-buy decision was generated. Thereafter, how to decompose, measure and prioritize this selected parameters were determined. Additionally, if any parameter should be considered as a knockout criterion was established as well. Based on this, the first draft of the decision model was developed and presented. An in depth analysis regarding areas of improvements was thereafter executed, and the first draft of the decision model was updated accordingly. Inputs to this analysis were gained from an empirical investigation. In more detail, interviews at both SED and at external suppliers, a calculative case study where the first draft of the model was tested as well as a workshop at SED were all sources of additional inputs. Based on the outcome of the in depth analysis, modifications of the first draft of the model was made which resulted in the final version of the make-or-buy decision model. The result of this investigation can consequently be described as a corporate adapted make-or-buy decision model. The model is divided into seven steps, namely: Core competence analysis Determination of module characteristics Configuration of the make-or-buy setup Request of quotations to potential supplier Volume flexibility, lead time and total cost analysis Risk evaluation Synthesis of above stated parameters, including the parameters: time flexibility impact on R&D operations acquiring competitive knowledge product flexibility the opportunity to share risks long-term capacity Furthermore, the end-user needs to have an idea of what module and what assembly level that could be of interest and use the decision model in order to investigate whether to reject or proceed with this suggested make-or-buy setup. The model also illustrates the need of a regular re-evaluation of the decision made, in order to cope with the dynamic internal and external business environment. One additional advantage with the decision model is that it takes both quantitative and more qualitative aspects into consideration after which a holistic analysis of these can be made.