Eliciting User Requirements Using Appreciative Inquiry

Gonzales, Carol K.

doi:10.5642/cguetd/1

Cited by 8 publications

(11 citation statements)

References 13 publications

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“…For example, it became evident during consumer and carer interviews that they did not know what they did not know when considering what could be offered by community pharmacy. An appreciative inquiry approach was taken as this adopts a positive approach to problem solving [38]. Therefore, the question was formulated in a way to promote greater participant engagement and generate creative solutions.…”

Section: Methodsmentioning

confidence: 99%

“…To adequately prepare participants, the research team used a pre-elicitation technique [38]. An information sheet outlining the current pharmacy services available in Australia (see supplementary material, online resource 1) and an overview of the nominal group process, including the question, was provided to participants prior to conducting their group session.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Consumers and Carers Versus Pharmacy Staff: Do Their Priorities for Australian Pharmacy Services Align?

McMillan

Kelly

Sav

et al. 2014

Patient

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Consumers and Carers Versus Pharmacy Staff: Do Their Priorities for Australian Pharmacy Services Align?

McMillan

Kelly

Sav

et al. 2014

Patient

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“…The needs of users can be functional or non-functional with the latter commonly overlooked in traditional user requirements studies. Using AI, Gonzales and Leroy (2011) were able to collect valuable information about the needs of users that were not functional and identify what users expected the system to look like in the future. Bergvall-Kareborn et al (2008) also found AI to be a useful tool in designing new systems.…”

Section: Towards Appreciative Gismentioning

confidence: 99%

Appreciative GIS and Strength‐Based Community Change

Hodza

2013

Transactions in GIS

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Problem‐solving is embedded deeply in the digital DNA of GIS. Most projects involving GIS 1.0 and 2.0 raise community weaknesses, failures and other problems and use them to motivate change. The projects often create a future that does not differ greatly from the past or last long. Although looking into community problems is important and sometimes necessary, the steps of problem‐solving do not always leave people feeling happy. To inspire communities to create change based on their strengths and achievements, and to provide better participant experience, this article develops the concept of a new form of GIS called Appreciative GIS (AGIS). AGIS are grounded in the affirmative premise that every community, however challenged, is gifted with certain assets, potentials and strengths which, when effectively exploited, can take that community to a better and sustainable future. Based on Earth's internal structure, the article develops a useful layered community model where crust, mantle and core strata represent the community's body, life‐draining and life‐giving elements in that order. The model helps explain the different views of the community from current GIS and AGIS perspectives. A Total GIS (TGIS) cube is also developed and used to indicate that current GIS commonly focus on elements of the mantle or what we do not have, what we cannot do and what makes us weak. AGIS, on the other hand, dig up the core and cultivate what we have, what we can possibly do and what makes us strong. In a significant departure from the linear approach of problem‐solving, the article suggests implementing AGIS through a 7G cyclical method. The article contends that although AGIS may not be the whole enchilada, they can serve as a beacon of hope and a powerful source of inspiration especially for individuals and groups who are perceived or made to perceive themselves as dysfunctional, weak or poor.

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“…AI has been applied in diverse contexts (Gonzales, 2010) and can easily be employed in qualitative academic-advising research.…”

Section: Appreciative Inquirymentioning

confidence: 99%