iM-AI on organic food restaurants by Kai Neumann

Climate-related supply shocks Collaboration among regional tourism stakeholders Cross-training of restaurant staff Complex food safety or licensing laws Economic stimulus packages and subsidies Diversification of sourcing regions Empowered staff decision-making Engaging and consistent social media content Energy cost spikes in colder months Exceptional customer service experiences Fragmentation among small producers Flexible staffing models and gig platforms Global recovery in tourism sector Government subsidies for organic farming Government support for winter operations Government support centers for certification High staff turnover High tourist footfall during peak season High-pressure atmospheric systems Increased frequency of Atlantic storms Lack of startup financing options Lack of staff during low-demand periods Limited availability of skilled hospitality workers Low barriers to entry in food service Local sourcing campaigns in urban areas Low-pressure weather systems Low social media engagement rates National policy shifts toward sustainability Negative customer interactions on social media Northern latitude seasonal shifts Pandemic resurgence or health scares Positive online reviews and social media visibility Price sensitivity among middle-income consumers Reduced winter staffing availability Regular posting schedule and content planning Seasonal event hosting and off-season promotions Service delays during peak hours Seasonal price inflation from hotels and B&Bs Stable climate patterns in Northern Europe Simplified business registration processes Strict zoning and licensing regulations Staff hygiene and sanitation training Stricter land-use zoning laws Stricter food licensing policies Strong local supplier network for organic ingredients Strong farmer networks and collaboration Supportive local economic development policies Successful organic food restaurant at the Baltic Sea (Germany) Urban sprawl reducing agricultural land Use of reservation or queuing systems Warm and sunny summer weather Use of targeted marketing for low season Well-trained and motivated staff Year-round staffing and operations model Advocacy by business coalitions for policy simplification Affordable rental spaces Automation of service processes
Well, less from a business than a general stakeholder perspective. Probably a better prompt would result in a more consulting suited model.

Bundestagswahl 2017: Wahlprogramme im Vergleich v1 by Kai Neumann

Es gibt bereits ein Modell zum Vergleich der Wahlprogramme der großen Parteien zur Bundestagswahl 2013: http://www.imodeler.info/ro?key=A64xAzcY703Et8VLv3tTe0w  Hier nun die Möglichkeit, kollaborativ die aktuellen Wahlprogramme in den qualitativen Wirkungszusammenhang mit dem Wohl der Bürger zu stellen. Bei Fragen diese gern auf know-why.net posten. Den Anfang macht eine noch gar nicht existente Partei mit dem Arbeitstitel Partei Vernunftbegabter Menschen (http://www.ilsa.de/Blog/Entries/2017/1/30_Partei...

Bringing an E-Car to market (ToC example model) by Kai Neumann

This is just a small example model for part 3 of a series of guidances called "Quantitative Optimization and Risk Analysis of Projects and Processes". It describes a fictitious case of a start up enterprise that develops and produces a new electric vehicle. Here is the link to the guidance: http://www.consideo.de/downloads/Culture_of_Reflection_p3.pdf Here is the Operations Research version using the iM Optimizer: http://www.imodeler.info/ro?key=Cv-vW-0iM4jA9XyEX5IUQcw Here is the Monte Carlo version sim...