726 resultados para Marketing Research Methodology, Design Selection, Alternative Methodologies


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Design based research (DBR) is an appropriate method for small scale educational research projects involving collaboration between teachers, students and researchers. It is particularly useful in collaborative projects where an intervention is implemented and evaluated in a grounded context. The intervention can be technological, or a new program required by policy changes. It can be applied to educational contexts, such as when English teachers undertake higher degree research projects in their own or others’ sites; or for academics working collaboratively as researchers with teams of teachers. In the case described here the paper shows that DBR is designed to make a difference in the real world contexts in which occurs.

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Research methodology in the discipline of Art & Design has been a topic for much debate in the academic community. The result of such avid and ongoing discussion appears to be a disciplinary obsession with research methodologies and a culture of adopting and adapting existing methodologies from more established disciplines. This has eventuated as a means of coping with academic criticism and as an attempt to elevate Art & Design to a ‘real academic status’. Whilst this adoption has had some effect in tempering the opinion of Art & Design research from more ‘serious’ academics the practice may be concealing a deeper problem for this discipline. Namely, that knowledge transfer within creative practice, particularly in fashion textiles design practice, is largely tacit in nature and not best suited to dissemination through traditional means of academic writing and publication. ----- ----- There is an opportunity to shift the academic debate away from appropriate (or inappropriate) use of methodologies and theories to demonstrate the existence (or absence) of rigor in creative practice research. In particular, the changing paradigms for the definitions of research to support new models for research quality assessment (such as the RAE in the United Kingdom and ERA in Australia) require a re-examination of the traditions of academic writing and publication in relation to this form of research. It is now appropriate to test the limits of tacit knowledge. It has been almost half a century since Michael Polanyi wrote “we know more than we can tell” (Polanyi, 1967 p.4) at a time when the only means of ‘telling’ was through academic writing and publishing in hardcopy format. ----- ----- This paper examines the academic debate surrounding research methodologies for fashion textiles design through auto-ethnographic case study and object analysis. The author argues that, while this debate is interesting, the focus should be to ask: are there more effective ways for creative practitioner researchers to disseminate their research? The aim of this research is to examine the possibilities of developing different, more effective methods of ‘telling’ to support the transfer of tacit knowledge inherent in the discipline of Fashion Textiles Design.

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This paper proposes and synthesizes from previous design science(DS) methodological literature a structured and detailed DS Roadmap for the conduct of DS research. The Roadmap is a general guide for researchers to carry out DS research by suggesting reasonably detailed activities.Though highly tentative, it is believed the Roadmap usefully inter-relates many otherwise seemingly disparate, overlapping or conflicting concepts. It is hoped the DS Roadmap will aid in the planning, execution and communication of DS research,while also attracting constructive criticism, improvements and extensions. A key distinction of the Roadmap from other DS research methods is its breadth of coverage of DS research aspects and activities; its detail and scope. We demonstrate and evaluate the Roadmap by presenting two case studies in terms of the DS Roadmap.

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Design research informs and supports practice by developing knowledge to improve the chances of producing successful products.Training in design research has been poorly supported. Design research uses human and natural/technical sciences, embracing all facets of design; its methods and tools are adapted from both these traditions. However, design researchers are rarely trained in methods from both the traditions. Research in traditional sciences focuses primarily on understanding phenomena related to human, natural, or technical systems. Design research focuses on supporting improvement of such systems, using understanding as a necessary but not sufficient step, and it must embrace methods for both understanding reality and developing support for its improvement. A one-semester, postgraduate-level, credited course that has been offered since 2002, entitled Methodology for Design Research, is described that teaches a methodology for carrying out research into design. Its steps are to clarify research success; to understand relevant phenomena of design and how these influence success; to use this to envision design improvement and develop proposals for supporting improvement; to evaluate support for its influence on success; and, if unacceptable, to modify, support, or improve the understanding of success and its links to the phenomena of design. This paper highlights some major issues about the status of design research and describes how design research methodology addresses these. The teaching material, model of delivery, and evaluation of the course on methodology for design research are discussed.

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This research in progress paper addresses the IS issue in relation to conducting relevant research while keeping academic rigor. In particular, it contributes to the ongoing academic conversation around the investigation on how to incor-porate action in design science research. In this document the philosophical underpinnings of the recently proposed methodology called Action Design Re-search [1] are derived, outlined and integrated into Burrel and Morgan’s Par-adigmatic Framework (1979)[6]. The results so far show how Action Design Research can be considered as a particular case of Design Science Research (rather than a methodology closely related to Action Research) although they can assume two different epistemological positions. From these philosophical perspectives, future works will involve the inclusion of actual research projects using the three different methodologies. The final goal is to outline and structure the divergences and similarities of Action Design Research with Design Science Research and Canonical Action Research.

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Hybrid vehicles represent the future for automakers, since they allow to improve the fuel economy and to reduce the pollutant emissions. A key component of the hybrid powertrain is the Energy Storage System, that determines the ability of the vehicle to store and reuse energy. Though electrified Energy Storage Systems (ESS), based on batteries and ultracapacitors, are a proven technology, Alternative Energy Storage Systems (AESS), based on mechanical, hydraulic and pneumatic devices, are gaining interest because they give the possibility of realizing low-cost mild-hybrid vehicles. Currently, most literature of design methodologies focuses on electric ESS, which are not suitable for AESS design. In this contest, The Ohio State University has developed an Alternative Energy Storage System design methodology. This work focuses on the development of driving cycle analysis methodology that is a key component of Alternative Energy Storage System design procedure. The proposed methodology is based on a statistical approach to analyzing driving schedules that represent the vehicle typical use. Driving data are broken up into power events sequence, namely traction and braking events, and for each of them, energy-related and dynamic metrics are calculated. By means of a clustering process and statistical synthesis methods, statistically-relevant metrics are determined. These metrics define cycle representative braking events. By using these events as inputs for the Alternative Energy Storage System design methodology, different system designs are obtained. Each of them is characterized by attributes, namely system volume and weight. In the last part the work, the designs are evaluated in simulation by introducing and calculating a metric related to the energy conversion efficiency. Finally, the designs are compared accounting for attributes and efficiency values. In order to automate the driving data extraction and synthesis process, a specific script Matlab based has been developed. Results show that the driving cycle analysis methodology, based on the statistical approach, allows to extract and synthesize cycle representative data. The designs based on cycle statistically-relevant metrics are properly sized and have satisfying efficiency values with respect to the expectations. An exception is the design based on the cycle worst-case scenario, corresponding to same approach adopted by the conventional electric ESS design methodologies. In this case, a heavy system with poor efficiency is produced. The proposed new methodology seems to be a valid and consistent support for Alternative Energy Storage System design.

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For decades, marketing and marketing research have been based on a concept of consumer behaviour that is deeply embedded in a linear notion of marketing activities. With increasing regularity, key organising frameworks for marketing and marketing activities are being challenged by academics and practitioners alike. In turn, this has led to the search for new approaches and tools that will help marketers understand the interaction among attitudes, emotions and product/brand choice. More recently, the approach developed by Harvard Professor, Gerald Zaltman, referred to as the Zaltman Metaphor Elicitation Technique (ZMET) has gained considerable interest. This paper seeks to demonstrate the effectiveness of this alternative qualitative method, using a non-conventional approach, thus providing a useful contribution to the qualitative research area.