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Ecology and Economy: Systems Changes Ahead?

Following the workshop at 2019 CANSEE Conference, cohosted with David L. Hawk, we were invited to contribute an article to a special issue of WEI Magazine.  Here’s the abstract for the workshop in May:

Systems Changes, Environmental Deterioration

This dialogue-oriented workshop will be framed by two short position papers (< 30 minutes each) towards energizing a discussion on the prospects for systems thinking and ecological economics.

(1) Systems Changes research program

Shifting the emphasis from stable states to a fluid world, what patterns describe shifts due to (i) human will, and (ii) nature? The Systems Changes program aims to extend research from the 1970s (e.g. West Churchman systems approach; Horst Rittel wicked problems; Christopher Alexander pattern language; Eric Trist and Cal Pava action learning) with 21st century advances (e.g. holons and hierarchy theory; resilience science; ecological anthropology; open sourcing).

(2) Environmental Deterioration: What have we learned about systems change(s) over the past 50 years?

Since the 1960s, nations have enacted regulations towards environment issues, sustainability of resources and stewardship of the environment: USA EPA (1969); Canadian EPA (1988/1999); EU Treaty of Maastricht (1993). Yet in 2009, the Stockholm Resilience Centre declared that human activity has exceeded two thresholds of nine planetary boundaries. Is it too late for the human race to act, or even to try? The 1979 Ph.D. dissertation on “Regulation of Environmental Deterioration” from the University of Pennsylvania will be considered retrospectively.

(3) Dialectic: Group Discussion

In an open group discussion, in what ways might a shift from “systems thinking” towards “systems changes” make a difference (or not)?

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Following the workshop at 2019 CANSEE Conference, cohosted with David L. Hawk, we were invited to contribute an article to a special issue of WEI Magazine.  Here’s the abstract for the workshop in May:

Systems Changes, Environmental Deterioration

This dialogue-oriented workshop will be framed by two short position papers (< 30 minutes each) towards energizing a discussion on the prospects for systems thinking and ecological economics.

(1) Systems Changes research program

Shifting the emphasis from stable states to a fluid world, what patterns describe shifts due to (i) human will, and (ii) nature? The Systems Changes program aims to extend research from the 1970s (e.g. West Churchman systems approach; Horst Rittel wicked problems; Christopher Alexander pattern language; Eric Trist and Cal Pava action learning) with 21st century advances (e.g. holons and hierarchy theory; resilience science; ecological anthropology; open sourcing).

(2) Environmental Deterioration: What have we learned about systems change(s) over the past 50 years?

Since the 1960s, nations have enacted regulations towards environment issues, sustainability of resources and stewardship of the environment: USA EPA (1969); Canadian EPA (1988/1999); EU Treaty of Maastricht (1993). Yet in 2009, the Stockholm Resilience Centre declared that human activity has exceeded two thresholds of nine planetary boundaries. Is it too late for the human race to act, or even to try? The 1979 Ph.D. dissertation on “Regulation of Environmental Deterioration” from the University of Pennsylvania will be considered retrospectively.

(3) Dialectic: Group Discussion

In an open group discussion, in what ways might a shift from “systems thinking” towards “systems changes” make a difference (or not)?

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Artificial intelligence, natural stupidity

Psychologist Amos Tversky, with Daniel Kahneman, collaborated not on artificial intelligence, but on the study of natural stupidity.  Their research into cognitive biases eventually became recognized in an emerging field of behavioral economics.  In hindsight, I can claim to have received an “A” in a Ph.D. course taught by the winner of a Nobel Prize in economics.

In my first cycle of doctoral studies, I was guided at UBC by my supervisor Ken MacCrimmon into a PSYC546 “Seminar in Psychology Problems”, which was led by Danny Kahneman.  This course was offered shortly after the 1982 publication of the book Judgment under uncertainty: Heuristics and biases, edited by Daniel Kahneman, Paul Slovic, and Amos Tversky.  With Kahneman at UBC in Vancouver, and Tversky at Stanford University in the San Francisco Bay Area, the back-and-forth flights to visit each other was frequent.  I uncovered more about the relationship between the two psychology professors in reading The Undoing Project. That book describes a difficult history of university faculty offers, not only around the two collaborators, but also the accommodation of wives Barbara Gans Tversky and Anne Treisman.

In late 1977, after Danny had told him that he wasn’t returning to Israel, word spread through academia that Amos Tversky might leave, too.  […]  Harvard University quickly offered Amos tenure, though it took them a few weeks to throw in an assistant professorship for Barbara. The University of Michigan, which had the advantage of sheer size, scrambled to find four tenured professorships — and, by making places for Danny, Anne, and Barbara, also snag Amos.

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Psychologist Amos Tversky, with Daniel Kahneman, collaborated not on artificial intelligence, but on the study of natural stupidity.  Their research into cognitive biases eventually became recognized in an emerging field of behavioral economics.  In hindsight, I can claim to have received an “A” in a Ph.D. course taught by the winner of a Nobel Prize in economics.

In my first cycle of doctoral studies, I was guided at UBC by my supervisor Ken MacCrimmon into a PSYC546 “Seminar in Psychology Problems”, which was led by Danny Kahneman.  This course was offered shortly after the 1982 publication of the book Judgment under uncertainty: Heuristics and biases, edited by Daniel Kahneman, Paul Slovic, and Amos Tversky.  With Kahneman at UBC in Vancouver, and Tversky at Stanford University in the San Francisco Bay Area, the back-and-forth flights to visit each other was frequent.  I uncovered more about the relationship between the two psychology professors in reading The Undoing Project. That book describes a difficult history of university faculty offers, not only around the two collaborators, but also the accommodation of wives Barbara Gans Tversky and Anne Treisman.

In late 1977, after Danny had told him that he wasn’t returning to Israel, word spread through academia that Amos Tversky might leave, too.  […]  Harvard University quickly offered Amos tenure, though it took them a few weeks to throw in an assistant professorship for Barbara. The University of Michigan, which had the advantage of sheer size, scrambled to find four tenured professorships — and, by making places for Danny, Anne, and Barbara, also snag Amos.

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The impacts of platforms

Concerns in the larger research body of research on platforms often leads to a subset looking into the impacts of the platform economy.  Let’s try some more digests responding to questions.

  • A. Is a shift to platforms considered as disruptive innovation?
  • B. Do network effects lead to a platform economy of “winner take all”?
  • C. With digital platforms based in information systems, what are the opportunities for knowledge effects?
  • D. What is the logic of participation on a platform?
  • E. Should platform capitalism be seen as positive or negative?
  • F. As an alternative to platform capitalism, should platform cooperativism be considered?
  • G. In the larger context of the sharing economy, how might platform initiatives be categorized?

The rise of the platform economy may be described either by the metaphor of “We Don’t Know Who Discovered Water, But We Know It Wasn’t a Fish” or the fable of the “Boiling Frog“.

A. Is a shift to platforms considered as disruptive innovation?

In a clarification about definition of disruptive innovationClayton Christensen doesn’t see Uber as disrupting the taxi business, because (i) the innovation doesn’t original on a low-end or new-market foothold; and (ii) the innovation doesn’t catch up with mainstream customers until quality catches up to their standards.  With disruptive innovation seen as a process, Uber is categorized by Christensen as as an outlier to the taxi business, offering a better quality service in the regulated taxi industry.… Read more (in a new tab)

Concerns in the larger research body of research on platforms often leads to a subset looking into the impacts of the platform economy.  Let’s try some more digests responding to questions.

  • A. Is a shift to platforms considered as disruptive innovation?
  • B. Do network effects lead to a platform economy of “winner take all”?
  • C. With digital platforms based in information systems, what are the opportunities for knowledge effects?
  • D. What is the logic of participation on a platform?
  • E. Should platform capitalism be seen as positive or negative?
  • F. As an alternative to platform capitalism, should platform cooperativism be considered?
  • G. In the larger context of the sharing economy, how might platform initiatives be categorized?

The rise of the platform economy may be described either by the metaphor of “We Don’t Know Who Discovered Water, But We Know It Wasn’t a Fish” or the fable of the “Boiling Frog“.

A. Is a shift to platforms considered as disruptive innovation?

In a clarification about definition of disruptive innovationClayton Christensen doesn’t see Uber as disrupting the taxi business, because (i) the innovation doesn’t original on a low-end or new-market foothold; and (ii) the innovation doesn’t catch up with mainstream customers until quality catches up to their standards.  With disruptive innovation seen as a process, Uber is categorized by Christensen as as an outlier to the taxi business, offering a better quality service in the regulated taxi industry.… Read more (in a new tab)

Platforms, an emerging appreciation

The term “platform” is now popular in a variety of contexts.  What do “platforms” mean, and what research might guide our appreciation?

Let’s outline some questions:

  • A. What came before the rise of platforms?
  • B. What types of platforms are there?
  • C. Why take a platform approach?
  • D. How do platforms manifest?
  • E. Why might a platform not be viable?
  • F. How are digital and non-digital platforms different?
  • G. What don’t researchers know about digital platforms?
  • H. What are the economic consequences of the platform economy?

The articles cited below are not exhaustive, but they may give a sense of the ballpark.

A. What came before the rise of platforms?

The industrial age was typified by descriptions of “supply chains” and “value chains”, which otherwise may be called “pipelines”. Marshall Van Alstyne, Geoffrey G. Parker, and Sangeet Paul Choudary write:

… platforms differ from the conventional “pipeline” businesses that have dominated industry for decades. Pipeline businesses create value by controlling a linear series of activities — the classic value-chain model. Inputs at one end of the chain (say, materials from suppliers) undergo a series of steps that transform them into an output that’s worth more: the finished product. [….]

The move from pipeline to platform involves three key shifts:

1. From resource control to resource orchestration. The resource-based view of competition holds that firms gain advantage by controlling scarce and valuable — ideally, inimitable — assets.

Read more (in a new tab)

The term “platform” is now popular in a variety of contexts.  What do “platforms” mean, and what research might guide our appreciation?

Let’s outline some questions:

  • A. What came before the rise of platforms?
  • B. What types of platforms are there?
  • C. Why take a platform approach?
  • D. How do platforms manifest?
  • E. Why might a platform not be viable?
  • F. How are digital and non-digital platforms different?
  • G. What don’t researchers know about digital platforms?
  • H. What are the economic consequences of the platform economy?

The articles cited below are not exhaustive, but they may give a sense of the ballpark.

A. What came before the rise of platforms?

The industrial age was typified by descriptions of “supply chains” and “value chains”, which otherwise may be called “pipelines”. Marshall Van Alstyne, Geoffrey G. Parker, and Sangeet Paul Choudary write:

… platforms differ from the conventional “pipeline” businesses that have dominated industry for decades. Pipeline businesses create value by controlling a linear series of activities — the classic value-chain model. Inputs at one end of the chain (say, materials from suppliers) undergo a series of steps that transform them into an output that’s worth more: the finished product. [….]

The move from pipeline to platform involves three key shifts:

1. From resource control to resource orchestration. The resource-based view of competition holds that firms gain advantage by controlling scarce and valuable — ideally, inimitable — assets.

Read more (in a new tab)

Education of the average Canadian worker and the Fourth Industrial Revolution

The average Canadian worker has (at least) some college or university education.  This fact is counter to presumptions in a question on the first day at the World Economic Forum by Fareed Zacharia, in an interview with Canadian Prime Minister Pierre Trudeau.  Zacharia asked:

What do you say to the average worker in Canada, who may not have a fancy college degree — and I’m thinking about the average worker in America or in Europe, as well — who looks out at this world and says “I don’t see what globalization is doing for me.  The jobs are going to South Korea and China and Vietnam and India.  Technology is great, but I can’t afford the new iPad Pro, and more importantly, this technology means that it increasinly makes me less valuable.  Why shouldn’t I be angry and involved the politics of progress?”

The response by Trudeau spoke to the Fourth Industrial Revolution, the theme of the Davos conference.  He didn’t actually respond to the presumption on education.

In a national picture of educational attainment:

In 2012, about 53.6% of Canadians aged 15 and over had trade certificates, college diplomas and university degrees. This was an increase of 20.9 percentage points since 1990.

… says “The Indicators of Well-Being in Canada (2016)“, by Employment and Social Development Canada.

In the Economic Indicators for Canada,

Between 1999 and 2009, the proportion of adults aged 25 to 64 with tertiary education in Canada increased from 39% to 50%.

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The average Canadian worker has (at least) some college or university education.  This fact is counter to presumptions in a question on the first day at the World Economic Forum by Fareed Zacharia, in an interview with Canadian Prime Minister Pierre Trudeau.  Zacharia asked:

What do you say to the average worker in Canada, who may not have a fancy college degree — and I’m thinking about the average worker in America or in Europe, as well — who looks out at this world and says “I don’t see what globalization is doing for me.  The jobs are going to South Korea and China and Vietnam and India.  Technology is great, but I can’t afford the new iPad Pro, and more importantly, this technology means that it increasinly makes me less valuable.  Why shouldn’t I be angry and involved the politics of progress?”

The response by Trudeau spoke to the Fourth Industrial Revolution, the theme of the Davos conference.  He didn’t actually respond to the presumption on education.

In a national picture of educational attainment:

In 2012, about 53.6% of Canadians aged 15 and over had trade certificates, college diplomas and university degrees. This was an increase of 20.9 percentage points since 1990.

… says “The Indicators of Well-Being in Canada (2016)“, by Employment and Social Development Canada.

In the Economic Indicators for Canada,

Between 1999 and 2009, the proportion of adults aged 25 to 64 with tertiary education in Canada increased from 39% to 50%.

Read more (in a new tab)

Sustainable scale of an organization: A case study at IBM?

How many employees can IBM sustain?  At Dec. 31, 2013, IBM reported 431,212 employees for the company and wholly-owned subsidiaries.  In February 2014, there were projections that 13,000 to 15,000 employees would be released within the year.  The estimate for 2015 of 26% further reductions calculates to leave about 300,000 IBMers worldwide.  This leads to three questions about the current situation (and potential other cases with similar circumstances).

  • 1. How many employees, worldwide, can a company sustainably afford?
  • 2. Where should global resources be geographically deployed?
  • 3. Can science guide us on sustainable ranges of scale for organizations?

The domain of business is a social science, so corporate decisions lead to paths where alternatives (i.e. the path not taken) can never be tested in reality.  Thus, much of the thinking below is speculative.

1. How many employees, worldwide, can a company sustainably afford?

Let’s look at history, published in annual reports.  IBM reported 412,113 employees at Dec. 31, 1989.  Under John Akers as CEO, the organization was trimmed down to 301,542 employees by the end of 1992.  Lou Gerstner joined as CEO in April 1993, and job actions were announced by July.

The employees to be cut, mostly from overseas operations, will be given incentives to leave, but just what the financial package will be has not been determined. The $8.9 billion charge includes funds to pay for 25,000 additional job cuts under an early retirement program announced this year that has drawn 50,000 participants — twice as many as expected — and for 35,000 job cuts over the next 18 months.  

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How many employees can IBM sustain?  At Dec. 31, 2013, IBM reported 431,212 employees for the company and wholly-owned subsidiaries.  In February 2014, there were projections that 13,000 to 15,000 employees would be released within the year.  The estimate for 2015 of 26% further reductions calculates to leave about 300,000 IBMers worldwide.  This leads to three questions about the current situation (and potential other cases with similar circumstances).

  • 1. How many employees, worldwide, can a company sustainably afford?
  • 2. Where should global resources be geographically deployed?
  • 3. Can science guide us on sustainable ranges of scale for organizations?

The domain of business is a social science, so corporate decisions lead to paths where alternatives (i.e. the path not taken) can never be tested in reality.  Thus, much of the thinking below is speculative.

1. How many employees, worldwide, can a company sustainably afford?

Let’s look at history, published in annual reports.  IBM reported 412,113 employees at Dec. 31, 1989.  Under John Akers as CEO, the organization was trimmed down to 301,542 employees by the end of 1992.  Lou Gerstner joined as CEO in April 1993, and job actions were announced by July.

The employees to be cut, mostly from overseas operations, will be given incentives to leave, but just what the financial package will be has not been determined. The $8.9 billion charge includes funds to pay for 25,000 additional job cuts under an early retirement program announced this year that has drawn 50,000 participants — twice as many as expected — and for 35,000 job cuts over the next 18 months.  

Read more (in a new tab)
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    • daviding: A small wording shif July 27, 2020
      A small wording shift, yet I really like the idea on belonging rather than just including. https://www.theglobeandmail.com/business/commentary/article-want-a-more-diverse-work-force-move-beyond-inclusion-to-belonging/
    • daviding: On the post-pandemic July 18, 2020
      On the post-pandemic world, #MargaretAtwood says: > "this is like being in 1952, except with birth control and the internet".https://www.thestar.com/entertainment/books/opinion/2020/07/17/margaret-atwood-on-post-covid-hopes-plus-baking.html
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      Instead of using a text editor or Notepad on my computer for everyday work, I now use #Zettlr as a persistent scratchpad, a new page each day. The feature of creating #Markdown often helps in copy-and-paste to other applications. I haven&apos;t exercised #Zotero citations, yet, but probably will, shortly. > Roam let’s you manage knowledge, […]
    • daviding: The #GlobeAndMail ed June 29, 2020
      The #GlobeAndMail editorial declares that the brain drain of 15,000 Canadians to the United States between years 2000-2010 could be reversed, with corporations near-shoring northwards. > Canada already exerts a powerful pull on people from the rest of the world. A global Gallup survey, conducted from 2015 through 2017, shows Canada is one of the most […]
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    • 1969, 1981 Emery, System Thinking: Selected Readings
      Social Systems Science graduate students in 1970s-1980s with #RussellAckoff, #EricTrist + #HasanOzbehkhan at U. Pennsylvania Wharton School were assigned the Penguin paperback #SystemsThinking reader edited by #FredEEmery, with updated editions evolving contents.
    • 1968 Buckley, “Modern Systems Research for the Behavioral Scientist: A Sourcebook”
      Resurfacing 1968 Buckley, “Modern Systems Research for the Behavioral Scientist: A Sourcebook” for interests in #SystemsThinking #SocioCybernetics #GeneralSystemsTheory #OrganizationScience . Republication in 2017 hardcopy may be more complete.
    • Wholism, reductionism (Francois, 2004)
      Proponents of #SystemsThinking often espouse holism to counter over-emphasis on reductionism. Reading some definitions from an encyclopedia positions one in the context of the other (François 2004).
    • It matters (word use)
      Saying “it doesn’t matter” or “it matters” is a common expression in everyday English. For scholarly work, I want to “keep using that word“, while ensuring it means what I want it to mean. The Oxford English Dictionary (third edition, March 2001) has three entries for “matter”. The first two entries for a noun. The […]
    • Systemic Change, Systematic Change, Systems Change (Reynolds, 2011)
      It's been challenging to find sources that specifically define two-word phrases -- i.e. "systemic change", "systematic change", "systems change" -- as opposed to loosely inferring reductively from one-word definitions in recombination. MartinReynolds @OpenUniversity clarifies uses of the phrases, with a critical eye into motives for choosing a specific label, as well as associated risks and […]
    • Environmental c.f. ecological (Francois, 2004; Allen, Giampietro Little 2003)
      The term "environmental" can be mixed up with "ecological", when the meanings are different. We can look at the encyclopedia definitions (François 2004), and then compare the two in terms of applied science (i.e. engineering with (#TimothyFHAllen @MarioGiampietro and #AmandaMLittle, 2003).
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      Daytimes full of new work assignment and training, evenings and weekends bicycling around downtown Toronto as it slowly reopens from pandemic.
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      Most of month in Covid-19 shutdown Phase 1, so every photograph is an exterior shot. Bicycling around downtown Toronto, often exercising after sunset.
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