Social Economic Supply and Value Chains
Research and surveying for GISIT maps, databases, etc., in order to better analyze local and regional industries supply chains to highlight social economic flows, trends, and constraints at various nodes along the industry or cross industry maps to highlight the micro and macro economic environments for strategic business planning, development, investment, and policy recommendations.
Mutli-Industry Social Economic Supply and Value Chains Experience
I first became aware of the importance of the interlinkages that exist between multiple industries while living in Alaska – the evidence that the industries must co-exist for sustainability was evident everywhere. Alaska is no stranger to successes and failures of cross industry effects i.e. mining, tourism, fishing, wildlife, public and private sector development, etc. When taking into consideration the aforementioned with other supply and value chain nodes along the mapping works you can determine how both internal and external influences effect that and other parallel and overlapping industries (example: mining and tourism – both require nature’s assets, transportation, fuel and oil, food and drink, accommodations, etc., if both done responsibly then there is less impact on nature, environment and human beings – as we know the opposite hold true too). I take both a macro and micro approach to research, mapping and crunching data – but beyond this, I prefer employing ethnology, environmental perspectives, culture, history, etc., into my overall analysis as we are all human beings and animals that have behaviors beyond standard surveying questions; economic data crunching is easy, its the non-tangible social data, the “Open End Questions”, that provide the data linkages or situational analysis or “human factor” towards analyzing the data content via conditional lens: behavioral, environmental, social sciences, etc.
When working with human beings, especially those in rural areas, their lives are already complicated enough as it is and often do not have the time nor real interest to give a college student or bean-counter their fullest attention for hours for a long and intensive survey. Such situations could have negative influences on the overall outcome of the research works which in-turns influences policies, hence, I prefer to take a rather different approach which minimizes such influences while maintaining the “core” content which provides realistic data analysis on various nodes of interests along social economic supply and value chains. So well practiced that this approach has become, today, I can virtually walk through a community and do random spot checks and begin to understand the basics of a given communities social economic supply and value chain situation prior to any given intensive survey, research, mapping and analysis works.