Author: kiranjohny007@gmail.com

  • Self-Organization: Paul Cilliers and Saraswathy

    According to Paul Cilliers(1998), “the capacity for self-organisation is a property of complex systems which enables them to develop or change internal structure spontaneously and adoptively in order to cope with, or manipulate, their environment”. To him, different systems that share the property of self-organisation will not necessarily exhibit the same range of characteristics. A living cell can certainly be classified as self-organizing, but its internal structure will be more stable than that of an economic system of a country. An economic system is self-organizing in the sense that it changes its internal structure in response to a large number of factors (money supply, growth rate, political stability, natural disasters, etc.).

    According to him, despite these important differences between various self-organizing systems with different functions, there are shared attributes that conform to the framework of the general model for complex systems (Paul Cilliers, 1998, p. 91). 

    In the following part, I will attempt to demonstrate the self-organization attributives of Saraswathy’s(2009) effectual entrepreneurship which are parallel to that of the 8 attributes listed by Cilliers. 

    General attributes of self-organizing systems include the following:

    (i) The structure of the system is not the result of an a priori design, nor is it determined directly by external conditions. It is a result of interaction between the system and its environment.

    What about effectuation? 

    Effectuation is not about top-down design, control, or delegation for an external agent. It is not based on pre-decided design or internal planning. Effectuation is the inverse of causation. Causal models begin with an effect to be created. They seek either to select between means to achieve those effects or to create new means to achieve preselected ends.

    (ii) The internal structure of the system can adapt dynamically to changes in the environment, even if these changes are not regular.

    What about effectuation? 

    The crazy-quilt and lemonade principles of effectuation correspond to this aspect. The crazy-quilt principle suggests co-evolving and co-adapting with other agents while negotiating with any and all stakeholders who are willing to make actual commitments to the project, without worrying about opportunity costs, or carrying out elaborate competitive analyses. Here, the important stress of Saraswathy is that “Who comes on board determines the goals of the enterprise. Not vice versa”. Secondly, the lemonade principle suggests acknowledging and appropriating contingency by leveraging surprises rather than trying to avoid them, overcome them, or adapt to them.

    (iii) Self-organisation is not merely the result of processes like feedback or regulation that can be described linearly. It involves higher-order, nonlinear processes that cannot be modelled by sets of linear differential equations.

    What about effectuation? 

    I argue that the entire effectuation logic is based on adapting to the potentialities of the environment by using it. This cannot be modeled by linear equations. More specifically the lemonade principle suggests acknowledging and appropriating contingency by leveraging surprises rather than trying to avoid them, overcome them, or adapt to them.

    (iv) Self-organisation is an emergent property of a system as a whole (or of large enough sub-systems). The system’s individual components only operate on local information and general principles. The macroscopic behaviour emerges from microscopic interactions that by themselves have a very meagre information content (only traces).

    What about effectuation? 

    The logic of effectuation acknowledges emergent property(not by explicitly naming it emergent property, but by implication) and its adaptive nature is part of this acknowledgment. Here also the lemonade principle needs stress because it is really the application of how to deal with surprises generated by such emergent property. Further, even though all of the five core principles( bird-in-hand, affordable-loss, crazy-quilt, lemonade, pilot-in-the-plane)are based on adaptive logic, in real dynamics we must also take into account two concurrent cycles: expanding means and converging goals. The expanding-means cycle looks for increases in resources, and the Converging goals cycle adapts the goals. “It accretes constraints on the venture that converge into specific goals that get embodied in an effectual artifact over time”(Sarasvathy et al, 2014; Sarasvathy & Dew, 2005, pp. 543–544). According to Saraswathy, “The history of new market creation is full of unusual partnerships leading to the emergence of new networks. Instead of arising naturally as a consequence of existing social networks, several of these seminal relationships began through unplanned encounters or serendipitous events”(Saraswathy, 2008, p.118)

    (v) Self-organizing systems increase in complexity…..(trimmed). The increase in complexity may also form part of the explanation why self-organizing systems tend to age. Since these systems are bound by the finite constraints of the physical world, they inevitably become saturated at some point.

    What about effectuation? 

    Effectuation acknowledges this increase in complexity. The effectual process begins in the effectual adjacent zone. It initiates the process from the means available and by doing the things the entrepreneur can do. The means will expand, goals will change, many stakeholders will join in bringing their insights to the table, etc. The effectual cycle is a continuous process that scans for changes in core dispositional realities. Further, there is no explicit mentioning of saturation and destruction in effectuation, but since the human agency is capable of awareness, solutions can be designed to an extend. As the pilot-in-the-plane principle suggest, “we can work with human agency as the prime driver”.

    (vi) Self-organisation is impossible without some form of memory, a point closely related to the previous one. Without memory, the system can do no better than merely mirror the environment. A self-organizing system therefore always has a history…(Trimmed)

    What about effectuation? 

    According to De Wolf and Holvoet(2004), in a self-organizing system,”…‘the arrangement of selected parts’ implies that the arrangement is a kind of historic memory of the process that becomes bigger when more and more parts are arranged”. In effectuation the entrepreneur start by acting in the adjacent possible. Gradually, more and more parts(agents, institutions, artifacts, etc) will be added to form part of the memory of the system. The effectual process involves a continuous cycle of going back to the dispositional factors like means, goals, and direction. This, I argue, is because the memory of a complex system is embedded in its disposition(position & propensity) itself through the ‘the arrangement of selected parts’. It is also distributed across the system. This can also be viewed as a system that augments its behavior with an associative memory of various attractors (Watson, 2011). In entrepreneurship, attractors can be many things like intentions, money, product, customers, stakeholders, vision statement, etc. This is also why Complex systems like entrepreneurship are path-dependent (Liebovitz and Margolis, 1995) and subject to Imprinting (Levinthal, 2003; Johnson, 2007) and lock-ins(Arthur, 1989).

    Further, the importance of a persons history and context was stressed by Saraswathy in a recent presentation where she talked about the case of Elon Musk, and the importance of knowing his past; Watch the clip “Elon Musk himself as an artifact”  Or watch directly from Twitter

    (vii) Since the self-organizing process is not guided or determined by specific goals, it is often difficult to talk about the function of such a system. Self-organisation in complex systems cannot be driven by the attempt to perform a function; it is rather the result of an evolutive process whereby a system will simply not survive if it cannot adapt to more complex circumstances.

    What about effectuation? 

    Effectuation absolutely embraces this philosophy. In effectuation, goals are driven by means and other interacting agents. This points to the coevolutionary potential of the entrepreneur and stakeholders both. According to the bird-in-hand principle, effectuation is means-driven (as opposed to goal-driven) action. The emphasis here is on creating something new with existing means rather than discovering new ways to achieve given goals. Further, Each stakeholder commitment results in new means and new goals for the venture.

    (viii) Similarly, it is not possible to give crudely reductionistic descriptions of self-organising systems. Since microscopic units do not ‘know’ about large-scale effects, while at the same time these effects manifest themselves in collections that do not involve anything besides these microscopic units, the various ‘levels’ of the system cannot be given independent descriptions. The levels are in principle intertwined.

    What about effectuation? 

    Effectuation is in a way a detour from reductionism that existed in entrepreneurship research that focused on a few isolated aspects of personality, attitude, or other personal or situational observables. This is evident from her comparison of effectuation with her doctoral advisor Herbert Simon’s concept of near-decomposable systems(Simon and Ando,1961) where she argues that “both effectuation and near-decomposability exploit locality and contingency in the evolution of the artifact. Just as effectuation creates rapidly evolving artifacts that leverage the interdependence of parts to exploit locality and contingency, so near-decomposability in the structure of such systems leverages the independence of parts to exploit the same locality and contingency. While effectuation stitches together pieces of entrepreneurial fabric into economic quilts that continue to make sense in an interactive and dynamically changing environment, ND identifies lines of ‘tearing’ so that entrepreneurship as a science of the artificial pieces can be reworked in synchrony with the overall pattern as the needs imposed by the environment change”(Saraswathy, 2008,p.165-166).

    Conclusion

    I conclude by proposing the need for a theory of effectual self-organization, suggesting that effectuation is an ideal praxis for every human and social complex system. It not only obeys laws of self-organization but also provides for flexible heuristics that can be intelligently applied according to the co-evolutionary potential around us.  

    It is high time to unshackle effectuation from entrepreneurial expertise and take it to general social science, particularly to domains like education. 

    This content is part of my EsoLoop Framework


    REF:

    Arthur, W. Brian. “Competing technologies, increasing returns, and lock-in by historical events.” The economic journal 99, no. 394 (1989): 116-131.
    Cilliers, Paul. Complexity and postmodernism: Understanding complex systems.

    De Wolf, Tom, and Tom Holvoet. “Emergence versus self-organisation: Different concepts but promising when combined.” In International workshop on engineering self-organising applications, pp. 1-15. Springer, Berlin, Heidelberg, 2004.
    Johnson, Victoria. “What is organizational imprinting? Cultural entrepreneurship in the founding of the Paris Opera.” American Journal of Sociology 113, no. 1 (2007): 97-127.
    Levinthal, Daniel A. “Imprinting and the evolution of firm capabilities.” The SMS Blackwell handbook of organizational capabilities: Emergence, development, and change (2003): 100-103.
    Liebowitz, Stan J., and Stephen E. Margolis. “Path dependence, lock-in, and history.” Journal of Law, Economics, & Organization (1995): 205-226.
    Llewellyn, David J., and Kerry M. Wilson. “The controversial role of personality traits in entrepreneurial psychology.” Education+ Training (2003).
    routledge, 2002.
    Sarasvathy, Saras, K. Kumar, Jeffrey G. York, and Suresh Bhagavatula. “An effectual approach to international entrepreneurship: Overlaps, challenges, and provocative possibilities.” Entrepreneurship Theory and Practice 38, no. 1 (2014): 71-93.
    Sarasvathy, Saras D., and Herbert A. Simon. “Effectuation, near-decomposability, and the creation and growth of entrepreneurial firms.” In First Annual Research Policy Technology Entrepreneurship Conference. 2000
    Sarasvathy, Saras D., and Nicholas Dew. “New market creation through transformation.” Journal of evolutionary economics 15, no. 5 (2005): 533-565.
    Sarasvathy, Saras D. Effectuation: Elements of entrepreneurial expertise. Edward Elgar Publishing, 2009.
    Simon, Herbert A., and Albert Ando. “Aggregation of variables in dynamic systems.” Econometrica: journal of the Econometric Society (1961): 111-138.
    Thornton, Patricia H. “The sociology of entrepreneurship.” Annual review of sociology 25, no. 1 (1999): 19-46.
    Watson, Richard A., Christopher L. Buckley, and Rob Mills. “Optimization in “self‐modeling” complex adaptive systems.” Complexity 16, no. 5 (2011): 17-26.

  • Neuro-reductionism?But What about cognitive reductionism?

    It is very interesting to watch twitter debates between various academic communities. The problem is that if you are already part of a cult, you will never get to enjoy the big picture birds eye view of the show.

    When it comes to education and learning, two of the prominent communities use the science tag, often to trash constructivism and progressive models. They are Neuroscience and Cognitive science or fusion; Cognitive Neuroscience. Recently I have been watching both Cognitive Neuroscience people and Cognitive science people exposing the neuro-reductionism and the uselessness so called Neuro speak. There is a lot of valuable insights in this critic.

    I have already tweeted about it and blogged about it last year. But still, here is the original link to the tweet : Neuroscience of education

    1. The first tweet is by Daniel Ansari, Cognitive Neuroscientist. He made the observation that Neuroscience can’t suggest what is and what isn’t effective pedagogy. Adds that, neural data cannot directly speak to the effectiveness of the instructional approach but can be an informative correlate of the behavioural outcomes (e.g intervention specific gains in reading)

    2. The second one is by Daniel Willingham and David Daniel. They talks about this issue in their YouTube vlog; discusses the application of neuroscience in education

    3. Third one is an article/ blogpost: In this, Mirjam Neelen & Paul A. Kirschner observes that “In general, brain imaging techniques in and of themselves don’t have any real practical implications. At best, for learning, it can be used in combination with behavioural research to try to understand processes underlying learning” Link to blog post: “STOP ABUSING NEUROSCIENCE FOR LEARNING!”

    4. The recent one(order in which I found) is from “The Blank Slate: The Modern Denial of Human Nature (Penguin Press Science S.)” by Steven Pinker. He observed: “Neural plasticity is just another name for learning and development, described at a different level of analysis. All this should be obvious, but nowadays any banality about learning can be dressed up in neurospeak and treated like a great revelation of science.


    What about Cognitive reductionism


    All of these observations are agreeable. Absolutely significant. But a persistent question in my mind is about the reductionism of cognitive science and the blindness of people who are committed to the cult. And can we call it a science when most of complexity and interactive dynamics are ignored. Isn’t it based on streetlight effect, that occurs when people only search for something where it is easiest to look.

    What is the validity of’—for example, standardized tests, when it is absolutely clear that the tests are not measuring any skills of life success, but the socially constructed metric. An example of Pisa: Paper

    Isn’t educational cognitive science mostly about social construction than about real science? I argue that most of the cognitive science driven assessments and assumptions are in a way shaping the society, constructing its values, engineering the social systems to make it easier for some people to climb the ladder, and difficult for others .

    To Conclude

    I like cognitive science and Neuroscience. I acknowledge the value of the tools and insights generated from neuroscience and cognitive science. I am huge fan of genuine works like that from expertise researchers and people like Herbert Simon(with his bounded rationality) who transformed the way I think. But borrowing from Dave Snowden, I am also a believer of bounded applicability of ideas, tools, theories, methods, etc. I have a tendency to question the one size fits all. E.g. , I believe Cognitive load theory is useful and good, but I also think it shouldn’t be used to dictate or sanction the validity of Direct( rote) instruction perspective. Or worst it shouldn’t be used to trash all other methods because all of them doesn’t fit a certain criteria( computer analogy).

    Blog post link

    Thus, I must say, I am hugely skeptical of many dimensions of educational cognitive science, particularly those works that has a tendency to influence policy and that part which is directly connected to money making industry, testing, assessments, etc.

    Read about possible side effects of various cognitive science informed metrics : Goodhart’s law, Campbell’s law, Metric fixation

  • Effectuation as an action theory for complex domains

    I think, approaching effectuation as a self-organization theory/logic for complex domains is more appropriate than viewing it as the possession of a so-called expert entrepreneur. ( I have tweeted about this topic earlier)

    Following are some reasons; 

    Firstly, Most of the effectuation principles are universal and have corresponding concepts from complexity science(Click Link). This means it should not be limited to entrepreneurs. Herbert Simon also hinted at this aspect and suggested that there might be a connection between effectuation and Near Decomposibility (Sarasvathy and Simon, 2000). According to him (Saraswathy, 2009), Near Decomposibility is an astonishingly ubiquitous principle in the architecture of rapidly evolving complex systems, and effectuation appears to be a preferred decision model with entrepreneurs who have created high-growth firms, we should be able to link Near Decomposibility to the processes these entrepreneurs use to create and grow enduring firms–whether in an experimental situation or in the real world (Saraswathy, 2009, p.163). The beauty of effectuation is that Saraswathy in her scientific study brilliantly identified and encapsulated all of these complexity principles and made them accessible to potential entrepreneurs with simple everyday language. Thus, I believe, using it as a complexity-based concept may improve the potential and scalability of the concept.

    Secondly, many scholars may argue that entrepreneurship is a low validity domain (Kahneman and Klein, 2009). To have genuine expertise to develop, the domains must be of high validity. i.e. “Skilled intuitions will only develop in an environment of sufficient regularity, which provides valid cues to the situation” (Kahneman and Klein, 2009). This was also previously spotted in a review by Shanteau(1992), in which he confirmed the importance of predictable environments and opportunities to learn them, in order to develop real expertise. To Kahneman and Klein(2009) prolonged practice and feedback that is both rapid and unequivocal are necessary conditions for expertise, provided by predictable environments. I argue that, while studying the expertise of experienced entrepreneurs, she inadvertently discovered the universal laws for operating in low validity, complex uncertain domain.

    Thirdly, complex domains like entrepreneurship are subjected to various complexity laws like power laws, Mathew effects, reputation effects, ecosystem-embedded-preferential-attachment, etc. This may prevent us from establishing any valid causal relationship between expertise and performance in a domain like entrepreneurship. Thus in complexity, high performance may not guarantee success, in that, the success of an individual does not depend uniquely on the quality of performance(Barabási, 2018). 

    Fourthly, deliberate practice may not work in complex domains like entrepreneurship. Saraswathy(2008) defines an expert is as someone who has attained a high level of performance in the domain as a result of years of experience and deliberate practice (Ericsson et al, 1993). But in recent scholarly works, it has been observed that deliberate practice may not guarantee better performance in extremely complex domains. A 2014 meta-analysis (Macnamara et al, 2014) has shown that deliberate practice only explained 26% of the variance in performance for games, 21% for music, 18% for sports, 4% for education, and less than 1% for professions. This further demonstrates a low connection between deliberate practice and performance in complex unstructured domains.

    Fifthly, I believe that, like the personality view of entrepreneurial achievement(McClelland,1951, 1961; Llewellyn and Wilson, 2003), the expertise view may also have some unintended counter-productive effects. It can legitimize the hubris among successful entrepreneurs, and at the same time make the aspiring entrepreneur think that he may require deliberate practice to become a successful entrepreneur, while in-fact success could be the result of complexity-effects like power laws, Mathew effects, reputation effects, preferential attachment, etc. In fact, complexity can make Big-head(meme silicon-valley Tv show) the king.

    Finally, I believe that effectuation is widely applicable in other domains. It has application in complex domains like education, learning, economics, politics, etc. Framing effectuation as a science of action in social complexity will open up a lot of possibilities. This also will make the theory more robust and useful, building upon theories and methods from the natural sciences and complex systems.

    This is part of my ESOLoop Framework For Entrepreneurship self-organization


    Citations

    Sarasvathy, Saras D., and Herbert A. Simon. “Effectuation, near-decomposability, and the
    creation and growth of entrepreneurial firms.” In First Annual Research Policy Technology
    Entrepreneurship Conference. 2000.

    Sarasvathy, Saras D. Effectuation: Elements of entrepreneurial expertise. Edward Elgar 
    Publishing, 2009.

    Kahneman, Daniel, and Gary Klein. “Conditions for intuitive expertise: a failure to disagree.”
    American psychologist 64, no. 6 (2009): 515. 

    Shanteau, James. “Competence in experts: The role of task characteristics.” Organizational
    behavior and human decision processes 53, no. 2 (1992): 252-266.

    Barabási, Albert-László. The Formula: The science behind why people succeed or fail. Macmillan,
    2018

    Ericsson, K. Anders, Ralf T. Krampe, and Clemens Tesch-Römer. “The role of deliberate
    practice in the acquisition of expert performance.” Psychological review 100, no. 3 (1993): 363

    Macnamara, Brooke N., David Z. Hambrick, and Frederick L. Oswald. “Deliberate practice
    and performance in music, games, sports, education, and professions: A meta-analysis.”
    Psychological science 25, no. 8 (2014): 1608-1618.

    McClelland, David C. “N achievement and entrepreneurship: A longitudinal study.” Journal of
    personality and Social Psychology 1, no. 4 (1965): 389.

    Llewellyn, David J., and Kerry M. Wilson. “The controversial role of personality traits in
    entrepreneurial psychology.” Education+ Training (2003).

  • Social effects on performance: Mathew, Pygmalion, Galatea, and Relative Age effect

    Elaborating on his co-authored( with David J Hancock and Ashley L Adler) paper, “A proposed theoretical model to explain relative age effects in sport”, Jean Côté argues that social agents have the largest influence on relative age effects.

    According to the paper, primary agents like parents influence relative age effects through Matthew effects. Coaches influence relative age effects through Pygmalion effects and athletes influence relative age effects through Galatea effects.

    Integrating these three theories(Mathew, Pygmalion, Galatea), the authors propose a model that explains RAEs through these various social agents.

    Attached are two videos;

    1. From Jean Côté explaining the paper on RAE
    2. Short video in which Professor Anders Ericsson independently confirms Mathew effects showing example from Mozart.

    Video 1

    Uk coaching interview link

    https://www.youtube.com/watch?v=xtigClg8RAU&feature=emb_title

    Video 2

    Mozart’s father was a famous music teacher and had written one of the first books on violin instruction. He tested many pioneering training methods on Mozart and his sister, according to Professor Anders Ericsson. (HBR Article)

  • Entrepreneurship models: Excluding others by omission or prescription. 


    In complexity and evolution, heterogeneity is an asset. The more the relevant elements of variation present(requisite variety ) in a system, the more resilient and evolvable a system will become.

    Despite that, most entrepreneurship models are proposed as solutions for the problems of the existing one. It is often pitched as better that the previous one, Eg. Plan Vs Lean startup, effectuation Vs causation, Theory based view vs Lean.

    Using the antecedent as a frame to marginally improve the existing approach is also the standard practice. 

    While this is the reality, studies have shown that real entrepreneurs don’t behave according to the dictums of any prescriptive models. Fisher (2012) for example investigated behavior underlying the venture founding process using effectuation, bricolage, and causation has found that entrepreneurs often use elements of all the 3 theoretical models, and that there were no cases in which only the behaviors associated with causation were responsible for the development of the venture.  

    Mansoori and Lackéus(2019) in their analysis stressed the possibility of using multiple methods complimenting each other, which is a standard practice in weather prediction(ensemble models).

    Sarasvathy’s(2001) also asserted the point that both causation and effectuation are integral parts of human reasoning that can occur simultaneously, overlapping and intertwining over different contexts of decisions and actions” (p. 245).  

    I contend that real world decision in a complex adaptive system cannot be understood with linear thinking or binaries. Since it is impossible to know various emergent decision contexts before hand, it is always ideal to design solutions for such variables and contingencies. That means not excluding ideas, models and theories, etc., by prescription or omission.

    This content is part of Esoloop Framework

  • Playlist: Nonlinear and Complex Physics Group

    This is an amazing list of videos that covers a lot of foundational thinkers and their ideas about complexity.

    Speakers include; Peter Allen – Embracing Complexity David Byrne – Complexity and the Social Sciences Chris Mowles in the legacy of Ralph Stacey – Complex Responsive Processes Rika Preiser talking about the legacy of Paul Cilliers – Complexity and Postmodernism

  • 14+ Major Entrepreneurship models

    Following models are suggested methods to use for starting a venture or develop a product/service.

    In this,– Business plan, Lean startup, Design thinking are the most popular among startup community. On the other hand effectuation leads as the most respected model among researchers.

    Following are the three ways I would classify them

    • Models 1 to 9 as Model Centric or Model driven
    • Model 10 to 13 as Context driven(effectuation, bricolage, User-entrepreneurship, Copycat)
    • Model 14 as structure driven

    Here we go;

    1. Business Planning (Sahlman, 1997, Delmar and Shane, 2003 )

    A business plan is a written document that describes in detail how a startup defines its objectives and how it is going about achieving its goals. Most of the latest authors like Sahlman were business plan reformists(include next two models).

    1. Contingency planning (Honig, 2004, Marc Gruber 2017)

    Honig suggests that planning processes need to be governed by different planning regimes depending on the type of founding environment ie highly dynamic environments, less dynamic environments, etc. Thus planning must be adative. Gruber suggest that planning processes need to be governed by different planning regimes depending on the type of founding environment.

    1. Discovery-driven planning (McGrath and MacMillan, 1995)

    Discovery-driven planning is an approach that combines business planning with learning through a series of steps that reveal key discoveries (McGrath and MacMillan 2000). The core premise of the method is that when there isn’t enough information to develop a conventional business plan, the thrust of planning must instead be on learning, while at the same time reducing cost and risk. Conventional planning tends to lock an organization in, too early, to a specific operational trajectory.

    1. Probe-and-Learn approach (Lynn et al., 1996).

    Gary Lynn proposed the Probe-and-Learn approach in which companies develop products by probing potential markets with early versions, learning from the probes, and probing again. The initial product will not be the culmination of the development process but rather the first step.

    1. Lean start-up approach (Blank, 2013; Ries, 2011)

    Lean startup is one of the most successful prescritive models in the technology startup ecosystem. This is promoted as a hypothesis-driven approach that focuses on experimenting rather than planning. It proposes engaging with customers through a minimum viable product, which is built iteratively and incrementally according to customer feedback.

    1. Theory Based View(felin et al, 2020)

    The Theory based view stress on the importance of a theory to truly create new value. According to the authors, theory helps entrepreneurs see what others can’t see. Contrarian or unique beliefs provide the underlying raw material of a firm’s theory of value. Added to that theory allows entrepreneurs to be more scientific about value creation and to perform the right type of experiments.

    1. Disciplined Entrepreneurship. Sull (2004)

    Donald Sull notes that instead of ignoring, avoiding or getting affected by uncertainty while trying to fight it, entrepreneurs should manage it by taking a disciplined approach. Bill Aulet (Aulet, 2013) also suggests the deciplinary approch but also offers a step-by-step( 24 steps) approach to creating products.

    1. Design thinking

    Design and design science are broad terms with many different cannotations. In contract, design thinking means– the process approach developed for creating design solutions(products, services, etc.). Standford Design school proposed a process model of design thinking that includes 5 stages/steps ; empathize, define, ideate, prototype, and test. Even though it seems like a linier step by step process it’s proposed as a nonlinear and continues process.

    1. Design Cognition (Garbuio et al., 2017)

    Design cognition is not a prescriptive model. It is just a design science based pedagogical approach proposed for entrepreneurship education. I added it here because of the diversity value. It is developed as a critical counter to other prescriptive models including design thinking. This perspective involves four cognitive acts from the design cognition research to opportunity creation. Following are the four; Framing, Analogical reasoning, Abductive reasoning, and Mental simulation.

    1. Effectual entrepreneurship (Sarasvathy, 2001)

    This is one of the most popular and recognized models among entrepreneurship researchers. Effectuation suggest that entrepreneurs do not start with concrete goals as in the case of business plan, but constantly develop them on the fly through personal strengths and available resources. Effectual thinkers believe that “If I can control the future, I do not need to predict it.”

    1. Entrepreneurial bricolage: Baker, T., & Nelson, R. E. (2005).

    This is not essentially a prescriptive model. It is included because of its prescriptive value. Bricolage is an action-oriented or hands-on approach (Fisher, 2012) that mitigates the limitations of the resource environment by using available resources in ways that were not originally intended and therefore reduces resource uncertainty. According to Baker and Nelson (2005:334) bricolage includes ”making do by applying combinations of resources at hand to new problems and opportunities”.

    1. User Entrepreneurship( and User Innovation) User entrepreneurship: Shah, S. K. (2007)

    This is also not essentially a prescriptive model. It is included because of its prescriptive value. User entrepreneurship is the process by which lead users become entrepreneurs. When users experience a need in their own lives, they develop an innovative solution to address their need, and sometimes even openly share their solution with others before commercializing a product. This phenomenon has been labeled as user entrepreneurship (Shah and Tripsas 2007). This idea is grounded mostly on the early work of Von Hippel (Von Hippel 1988). His work has shown that users are an important and frequent source of innovation and user innovations may be qualitatively different than those of manufacturers.

    13. Copy Cat Model(Check Scholar hits)

    Copycat model, even though least appreciated, is one of the(or the) most successful way civilizations run business and trade. It is also a biologically consistent model. Even Steve Jobs once said a quote from Pablo Picasso. “Good artists copy. Great artists steal. ”essentially, appreciating copying.(not stealing)

    14. Government or Authority Sanctioned, Structure driven

    Traditionally business rights were often sanctioned by authorities. In India there were specialized caste groups who were doing business and nothing else. Even today there are many successful businesses that works under the government patronage.

    For comprehensive review and understanding on entrepreneurship models/methods check following papers:

    If you want to have a peek at few models from popular authors checkout the following video by Stanford’s Chuck Eesly.

  • Professor Yong Zhao: Comparing the US and Chinese education system(video playlist)

    Professor Yong Zhao who authored the book “What Works May Hurt: Side Effects in Education”, makes compelling arguments against comparing the US and Chinese education. He suggests that, while the Chinese system stressed more on homogeneity and standardization, the US system was always providing heterogeneous outcomes, which is really an asset.

  • Brenda Zimmerman Playlist

    Embracing Complexity, Connectivity, and Change

    “Engaging with Complexity”