Zoekresultaten

Identifying competence characteristics for excellent communication professionals

Purpose The purpose of this paper is to clarify which knowledge, skills and behaviors are used to describe excellent performance in professional communication. As the demand for talented communication professionals increases, organizations and educators need an empirically defined set of performance criteria to guide the development of (potentially) excellent communication professionals (ECPs). This research aimed to render a competence profile which could assist in the development of recruitment, training and development to develop relevant programs for high-potential communication practitioners. Design/methodology/approach This mixed-method research was approached in two phases: first, a series of focus groups (n=16) were held to explore work field perspectives resulting in a concept profile, and second, a series of expert panels (n=30) following the Delphi method were conducted to determine the extent of agreement with the findings. Findings Participants clarified that excellent performance is characterized by competences which transcend normative technical skills or practical communication knowledge. The five domains, 16 item ?SEEDS? competence profile describes that ECPs are distinguished by their compounded ability to be strategic, empathic, expressive, and decisive and to see patterns and interrelationships. Research limitations/implications Although a broad range of relevant professionals were involved in both phases, the study could be considered limited in size and scope. Research was conducted in one national setting therefore further research would be necessary to confirm generalizability of the results to other cultural contexts. Originality/value Although many competence frameworks exist which describe normative performance in this profession, specific criteria which illustrate excellent performance have not yet been identified. This competence profile clarifies characteristics which typify excellent performance in professional communication and can be helpful to educators and employers who wish to identify and create suitable training programs for ECPs.

Sensing Streetscapes: 2-year research on the physical-behavioral interrelationship aimed at informing the design of human-scaled densification in Amsterdam

Amsterdam faces the challenge of accommodating 50,000 to 90,000 new homes in the next five to ten years. That is equivalent to 10% of the city’s current total housing stock. The new homes have to be built within the existing urban fabric. This will entail high densities and the construction of new ‘un-Dutch’ typologies with high-rise residential buildings. Densification is currently accelerating in many Western cities and high-rise living environments are gaining ground as today’s typology. Yet these new typologies come with potentially serious risks to the liveability of cities in general and those new environments in particular (Asgarzadeh et al. 2012; Lindal and Hartig 2013; Gifford 2007). Urban designers and (landscape) architects are challenged to prevent and soften the negative impact that is often associated with extremely densified environments. This entails mitigating contradictive demands: to create high-density capacity andshape streetscapes that relate to a human scale. Designers might resort to the large body of applied design solutions and theories, yet these tend to be derived from more traditional urban fabrics of low-density developments (for example: e.g. Sennett 2018; Haas 2008; Jacobs 1993; Banerjee and Southworth 1990; Alexander et.al. 1977; Jacobs 1961).Therefore, the question of the research project Sensing Streetscape is if the classical design solutions are without any alterations, applicable in these new high density settings and able to create streetscapes with a human scale. A combination of emerging technologies and principles from both worlds; neuroscience and architecture offer the opportunity to investigate this question in-depth as a relation between the designed and the visually perceived streetscape.

Living environment, heating-cooling behaviours and well-being

At a time when the population is ageing and most people choose to live in their own home for as long as possible, it is important to consider various aspects of supportive and comfortable environments for housing. This study, conducted in South Australia, aims to provide information about the links between the type of housing in which older people live, the weather and occupants’ heating and cooling behaviours as well as their health and well-being. The study used a Computer-Assisted Telephone Interviewing (CATI) system to survey 250 people aged 65 years and over who lived in their own home. The respondents were recruited from three regions representing the three climate zones in South Australia: semi-arid, warm temperate and temperate. The results show that while the majority of respondents reported being in good health, many lived in dwellings with minimal shading and no wall insulation and appeared to rely on the use of heaters and coolers to achieve thermally comfortable conditions. Concerns over the cost of heating and cooling were shared among the majority of respondents and particularly among people with low incomes. Findings from this study highlight the importance of providing information to older people, carers, designers and policy makers about the interrelationships between weather, housing design, heating and cooling behaviours, thermal comfort, energy use and health and well-being, in order to support older people to age in place independently and healthily. https://doi.org/10.1016/j.buildenv.2019.03.023 LinkedIn: https://www.linkedin.com/in/jvhoof1980/

Managing food security through food waste and loss: Small data to big data.

This paper provides a management perspective of organisational factors that contributes to the reduction of food waste through the application of design science principles to explore causal relationships between food distribution (organisational) and consumption (societal) factors. Qualitative data were collected with an organisational perspective from commercial food consumers along with large-scale food importers, distributors, and retailers. Cause-effect models are built and “what-if” simulations are conducted through the development and application of a Fuzzy Cognitive Map (FCM) approaches to elucidate dynamic interrelationships. The simulation models developed provide a practical insight into existing and emergent food losses scenarios, suggesting the need for big data sets to allow for generalizable findings to be extrapolated from a more detailed quantitative exercise. This research offers itself as evidence to support policy makers in the development of policies that facilitate interventions to reduce food losses. It also contributes to the literature through sustaining, impacting and potentially improving levels of food security, underpinned by empirically constructed policy models that identify potential behavioural changes. It is the extension of these simulation models set against a backdrop of a proposed big data framework for food security, where this study sets avenues for future research for others to design and construct big data research in food supply chains. This research has therefore sought to provide policymakers with a means to evaluate new and existing policies, whilst also offering a practical basis through which food chains can be made more resilient through the consideration of management practices and policy decisions.

Professionals uit de praktijk over de excellente professional

A Tale of Two Cities: Understanding Children's Cycling Behavior From the Socio-Ecological Perspective

The childhood obesity epidemic has persisted for over three decades, which has presented serious social, economic and health consequences worldwide. For researchers and policy makers alike, cycling has been a promising focus over recent years for developing long-term physically active lifestyles in urban environments, in addition to contributing to the global quest to combat climate change. Promoting cycling thus presents a win-win situation not just for individuals' well-being, but for multiple involved sectors such as public health, transport ministry and environmental agencies. For children, cycling promotes exercise engagement, active transport opportunities, motor skill development and social interaction. However, across European cities, there are considerable discrepancies in the uptake of cycling amongst children. To understand and subsequently promote children's cycling behavior, it is crucial that the complex social, physical and policy environment, and their interrelationships, are considered. Therefore, in this perspective article, we adopt the socio-ecological model to gain insight into how children's cycling behavior is shaped at the interpersonal, organizational and community level embedded within city policies, relevant to increase future cycling participation in children. Our perspective is based on a review of cycling policies of two European cities, Amsterdam (Netherlands) and Newcastle (UK), where stark contrasts in children's cycling participation can be observed. Our findings show that cycling policies in Amsterdam have mainly contributed to comprehensive organizational level changes, for example, cycling infrastructure development within the city, whereby these initiatives have made significant progress at the community level where cycling has become part of the “Dutch culture”. Hence, cycling is a more common transportation mode among children in Amsterdam than in Newcastle. In Newcastle, policies primarily focus on organizational or community level changes, and progress has recently been accelerated in response to COVID-19. In addition to differences, we have also identified similar challenges in the two cities, such as the urgency to support uptake of cycling for children with low socio-economic background or challenges related to cultural differences. We also propose a “shared (cycle-)path” for policy makers and researchers as working together is crucial in producing multi-component interventions at a policy level that recognize individual, as well as interpersonal, community and organizational factors.