Kamis, 06 September 2007

[psikologi_transformatif] The 5 Myths of Appreciative Inquiry

The 5 Myths of Appreciative Inquiry

Bernard J Mohr
In 2005 Appreciative Inquiry (AI) turned 25 years old. Since then AI has evolved into a comprehensive process and philosophy for Strategy/Vision Development and Deployment, Organization Design , Leadership Development, Evaluation, Post Merger Integration, Process/Value Chain Redesign, Diversity, Customer Satisfaction, Cost Reduction, etc. As with any radically different approach to management, multiple myths abound. What follows is an exploration and debunking of the five most widely spread misunderstandings about Appreciative Inquiry.
Myth #1 - AI only works in successful organizations, it doesn't work where there are real problems
Reality: AI works best where there is high complexity, short time frames and a clear need for innovation
Myth #2: AI is good for the soft stuff (e.g. culture) but not for the hard stuff (e.g. market share, profitability etc)
Reality: It depends what you focus on. If you work on the soft stuff you get soft results. If you work on the hard stuff you get hard results. The choice is yours!
Myth#3: AI is not sustainable
Reality: When leaders focus on applying AI to real organizational issues as they emerge - over time, and when they involve people in innovating central aspects of the business (such as mission, strategy and production processes) the organization integrates the AI philosophy into the way it conducts all of its core processes on a daily basis
Myth #4: An AI Summit will solve all our problems
Reality = While "one-off" Summits achieve significant positive results, our experience suggests sustainable change and lasting results happen as the organization learns to fully integrate the summit process (and/or other AI methods) for emerging issues over time.
Myth #5: Some organizations are not ready for AI
Reality = Nonsense! Every organization, every team, every human system is where it is - AND every organization is full of growth capacity. Used creatively, AI can help any organization, team or division move to the next level of performance.
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