Family holiday decision making : the knowledge and influence of adolescent children and parents

This paper investigates the influence adolescent children have over their parents with regards to holiday decisions. A dyadic method of analysis was used to determine the level of influence young people have on the decision making oftheir parents. Our research shows that the families in general do not see their adolescent children as more knowledgeable than the parents when it comes to holidays. However, the level of knowledge the family perceives the child to have is strongly related to how much influence the child then has over the parent. Also, the level of 'expertness' the family attribute to the child is strongly related to the family's attitude towards the child as a socialisation agent for the parent. Parents knowledge on the other hand, is not related to how influenced they are by their children. Finally, daughters have a larger impact on their parents' holiday decisions than sons.

Paddling the canoe on one side : women in decision-making in Vanuatu and the Solomon Islands

Heather Wallace examines changes in attitudes to women in the Solomon Islands and Vanuatu. She discusses policy changes and the slow process of these filtering into practice leading to shifting attitudes towards women's decision-making role in the Solomon Islands and Vanuatu. Her focus is on the complex processes by which policy changes are translated into practice, and she looks at both non-governmental organizations and the government in addressing gender policy and in the implementation of programmes in Vanuatu and the Solomon Islands.

On extending generalized Bonferroni means to Atanassov orthopairs in decision making contexts

Extensions of aggregation functions to Atanassov orthopairs (often referred to as intuitionistic fuzzy sets or AIFS) usually involve replacing the standard arithmetic operations with those defined for the membership and non-membership orthopairs. One problem with such constructions is that the usual choice of operations has led to formulas which do not generalize the aggregation of ordinary fuzzy sets (where the membership and non-membership values add to 1). Previous extensions of the weighted arithmetic mean and ordered weighted averaging operator also have the absorbent element 〈1,0〉, which becomes particularly problematic in the case of the Bonferroni mean, whose generalizations are useful for modeling mandatory requirements. As well as considering the consistency and interpretability of the operations used for their construction, we hold that it is also important for aggregation functions over higher order fuzzy sets to exhibit analogous behavior to their standard definitions. After highlighting the main drawbacks of existing Bonferroni means defined for Atanassov orthopairs and interval data, we present two alternative methods for extending the generalized Bonferroni mean. Both lead to functions with properties more consistent with the original Bonferroni mean, and which coincide in the case of ordinary fuzzy values.

Mental health-related risk factors for violence : using the evidence to guide mental health triage decision making

Mental health clinicians working in emergency crisis assessment teams or mental health triage roles are required to make rapid and accurate risk assessments. The assessment of violence risk at triage is particularly pertinent to the early identification and prevention of patient violence, and to enhancing the safety of clinical staff and the general public. To date, the evidence base for mental health triage violence risk assessment has been minimal. This study aimed to address this evidence gap by identifying best available evidence for mental health-related risk factors for patientinitiated violence.We conducted a systematic review based on the National Health and Medical Research Council of Australia’s methodology for systematic reviews. A total of 6847 studies were retrieved, of which 326 studies met the study inclusion criteria. Of these studies, 277 met inclusion criteria but failed the quality appraisal process, thus a total of 49 studies were included in the final review. The risk factors that achieved the highest evidence grading were predominantly related to dynamic clinical factors immediately observable in the patient’s general appearance, behaviour and speech. These factors included hostility/anger, agitation, thought disturbance, positive symptoms of schizophrenia, suspiciousness and irritability.

Cows, cockies and atlases : use and abuse of biodiversity monitoring in environmental decision making

Lesson #I. Good long-term monitoring makes for informed and confident decisions on land management.
Lesson #2. Monitoring showing species and habitat decline can directly lead to better protection mechanisms.
Lesson #3. Results of monitoring can be ignored, misused and misquoted to achieve political ends.
Lesson #4. Are we seeing a decline in systematic species surveys by government?
Lesson #5. We don't know enough about what monitoring is happening and why monitoring isn't happening.
Lesson #6. Disparate data sets and cumbersome collection methods are hindering species status monitoring.
Lesson #7. Make better use of existing resomces and expertise.
Lesson #8. Make monitoring data more accessible and enable it to be more repeatable.
Lesson #9. Embed the requirement for monitoring in biodiversity and threatened species legislation.
Lesson #10. Understand better the social elements of ecological monitoring

The traditional decision-making process of Berkaul in Tanjung Emas, West Sumatra : its nature and significance

Berkaul is a traditional practice associated with the rice cultivation cycle in West Sumatra, Indonesia, intended to seek consensus within the local community about agricultural practices and management of water for irrigation. Berkaul is deeply rooted in the adat and worldview of the region but is much less commonly practiced today than in the past and has disappeared in many parts of the region. This article describes the process of berkaul in Tanjung Emas, West Sumatra, places it within the context of Minangkabau adat and tradition, and considers its value in fostering participation, empowerment, and social inclusion in the context of rural development.

Knowledge mobilization on decision making for school improvement : Canadian principals learning network.

Principals duties have expanded beyond instructional leadership. Roles now include being curriculum leader, supervisor, manager, head of finance, administration, compliance, and legal matters, and so on. These additional responsibilities impact their decision-making in relation to teaching, learning and school improvement in general. How, and on what basis, they make these decisions is crucial both to their development as instructional leaders and to educational reform processes. To contribute to knowledge on principals’ decision making skills, we have created a strategic knowledge mobilization initiative called 'Canadian Principals Learning Network (CPLN)'. Through a variety of face-to-face and online activities, it collaboratively links together an international group of practicing principals and university-based researchers with related expertise. This paper describes the initiative and outcomes.

Promotional competitions: management decision-making in the Australian consumer marketplace

This research focused on a specific form of sales promotion: promotional competitions. The work identified the processes that organizations applied when defining their marketing strategy and promotional mix, and investigated the decision influences and design considerations which shaped the profile of competitions, offering innovative decision-making models for academics and practitioners.

Innovations in knowledge processing and decision making in agent-based systems

This chapter introduces knowledge processing and decision making using agent-based technologies. The importance of creating effective and efficient computerized systems for extracting information and processing knowledge as well as for supporting decision making activities is highlighted. Then, an overview covering agent-based software tools and development methodologies, and usability and challenges of agent-based systems in industrial applications is presented. The contribution of each chapter included in this book is also described.