Massey Documents by Type

Permanent URI for this communityhttps://mro.massey.ac.nz/handle/10179/294

Browse

Has files: YesSubject: search.filters.subject.Expertise

Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Experts are back in fashion – now more than ever we need to question them
    (The Conversation Media Group Ltd, 2020-05-18) Shaw R
  • Thumbnail Image
    Item
    Examining the roles of proximity in craft brewery knowledge-sharing and collaboration in Aotearoa New Zealand : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Management at Massey University, Albany, New Zealand
    (Massey University, 2022) O'Hare, Jamie
    The research presented in this thesis examines the roles of proximity dimensions in inter-firm knowledge-sharing and collaboration between craft breweries in Aotearoa New Zealand. I sought to develop a deep understanding of proximity dimensions by responding to the following research questions: (1) What are the roles of proximity in knowledge-sharing between New Zealand’s craft breweries? (1a) How do other dimensions of proximity relate to geographic proximity in the New Zealand Craft Brewing Industry? (2) How are craft brewery collaboration modalities influenced by proximity dimensions in the New Zealand Craft Brewing Industry? Extant literature in this domain focuses on understanding the role of geography and contends that geographic proximity is neither necessary nor sufficient for inter-firm learning or collaboration. Such literature is constrained by static methodological approaches, grounded in positivism. Static positivistic approaches limit understanding as to how the roles of proximity dimensions inter-relate and change over time. Addressing this limitation with an exploratory qualitative approach deepens understanding of proximity in knowledge-sharing and collaboration. Towards this approach, I conduct this research following an interpretive research paradigm. Empirical material has been collected via semi-structured interviews with 24 participants, from 21 craft breweries, across six geographic regions of Aotearoa New Zealand. These interviews were conducted and subsequently analysed using a method devised from productive hermeneutic thinking. Findings show that the role of geographic proximity in craft brewery knowledge-sharing and collaboration is complex. It is a direct enabler of inter-firm knowledge-sharing, but it is foremost an enabler of other proximity dimensions that facilitate subsequent knowledge exchange and collaboration. By re-examining established proximity dimensions through a hermeneutic lens, this research presents alternate perspectives of institutional, cognitive, and organisational proximity. Contributions to knowledge are also made through the identification of three novel proximity dimensions: triadic proximity; adversarial proximity; and capacity proximity. The roles of each of these new proximities in craft brewery knowledge-sharing and collaboration are demonstrated in this research. The findings of this thesis may be used to inform New Zealand governmental policy, which has historically sought, and failed, to capitalise on proximity as a mechanism for enhancing national innovation performance. Findings may also be of value to industry practitioners, such as craft brewery managers seeking to learn from and collaborate with their industry counterparts.
  • Thumbnail Image
    Item
    The role of experience in the susceptibility to confirmation bias in pilots : a thesis presented in partial fulfilment of the requirements for the degree of Master of Arts in Psychology at Massey University, Albany, New Zealand
    (Massey University, 2012) Rowntree, Jaime
    Confirmation bias refers to the tendency of an individual to prioritise and seek out evidence that confirms their theory or hypothesis and avoid or place little importance on disconfirming information. In the field of aviation, confirmation bias can have disastrous consequences and has been implicated in several aviation disasters. Despite the potentially fatal consequences, little research has systematically explored the underlying causes of confirmation bias in pilots. The following research examined the role of experience in the susceptibility to confirmation bias in pilots utilising an aviation themed location discovery task. To assess the relationship between flying experience and susceptibility to confirmation bias, 53 participants (23 non-pilots with no prior flying experience, 13 novice pilots with between 0-200 hours of logged flight time, and 17 experienced pilots with between 220-15000 hours of logged flight time) were asked to complete an online map-based location discovery task, which required participants to imagine that they were unsure of their location in four aviation themed scenarios. They then had to select, out of three features given, which feature would be the most useful for helping them to decide on their current location. Two out of the three features provided incorrect confirming (positive) tests of the pilot’s hypothesised location and one feature provided the correct disconfirming (negative) test of their hypothesised location. Results indicated that overall, participants primarily utilised a hypothesis-confirming strategy on the task. No relationship between experience and a participant’s susceptibility to confirmation bias was identified. A thematic analysis of the comments provided by participants was completed, which illustrated that participants were fairly consistent in the decision-making strategy that they used when reasoning about their location across each of the four scenarios. Interestingly, non-pilots and novice pilots primarily utilised a hypothesis-confirming approach most regularly in their feature selection. By contrast, it appears that the experienced pilot group primarily utilised a strategy that favoured the selection of manufactured objects and large objects. Future research should focus on discovering the mechanisms underlying confirmation bias and the identification of groups of people who are less susceptible to it. This information can then be used to create a model of confirmation bias outlining interventions that can be used to reduce or eliminate its effects.