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This Is Value Entrepreneurship – The Business Method Fueled By Entrepreneurial Economics.

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Entrepreneurship is the business driver – of revenue and growth, of the customer base and customer loyalty, of innovation, of cost reduction, of everything about business that constitutes success. It’s true of businesses of every scale – every firm must be entrepreneurial to succeed.

Value is the purpose of entrepreneurship. On the Mises Institute Economics For Business (E4B) website you’ll learn deep insights about value – that it’s not a thing but a feeling, that it’s the outcome of a learning process, that you can’t put a price on it, but people will pay for an expectation of value. There’s a lot to learn about value.

Combining the two in Value Entrepreneurship provides you with an understanding and a toolset to pursue new value for customers at every scale, in every firm, via every project, process and job. Value Entrepreneurship is the business system fueled by entrepreneurial economics.

Let’s first examine and prepare for entrepreneurship. Entrepreneurship is action. While MBA programs may focus on strategy and planning and finance, E4B’s alternative approach emphasizes action. Entrepreneurial action can be broken down into two components – the decision to act and the action itself.

The decision is a hypothesis. There is more uncertainty in business than can ever be resolved. You are never certain. The most you can expect is to narrow down your choices of possible actions to a small number. You develop a hypothesis of what could work based on two inputs. First, an analysis of whatever information or data is available to you that tells you something about prevailing market conditions and constraints. And second, the synthesis of your data-based conclusions with your instinct and intuition, your assessment of dynamics and what might change in the future, as well as your creativity and ideas. From analysis and synthesis, you generate hypotheses of all the things you could do that are aligned with your intent, and choose as many of those as you’re capable of implementing – that’s your capacity, which might be governed by available funding, staffing or capital goods such as your AWS service agreement.

With the decision made, you act. Decisions are hypotheses and actions are experiments. The purpose of an experiment is to generate learning. Find out what works and what doesn’t, so that you can do more of what works and abandon what doesn’t. If you run as many experiments as possible, the fittest business strategy will emerge. Complex systems theory refers to this process as explore and expand. That’s what entrepreneurship consists of: exploration followed by expansion.

We learn because action generates interaction – with customers, retailers, markets, competition, media, and the entire business ecosystem. Interaction, in turn, generates a feedback loop. Customers buy or don’t buy. They enjoy their experience, or they don’t. Or, most likely, they partially enjoy it but there are some drawbacks that the entrepreneurial business can respond to and rectify if they can properly gather the right knowledge.

That brings us to the second part of Value Entrepreneurship – the value part. We just referred to the customer’s experience. That’s what value is – an experience, subjectively felt and evaluated by customers. Value is formed and experienced entirely in the customer’s domain. As you’ll appreciate as you enter more deeply into this way of thinking, the customer is the driver of your business. Customers are the sole determinants of business success or failure. They determine what gets produced by buying or not buying – by not buying, they ensure that production stops and business resources are redeployed to new uses. 

Customers are always evaluating, and thereby producing value. They do this from the context of their own system. Let’s take an example of a consumer household and its systems (although we must emphasize that the value entrepreneurship model applies equally to the world of B2B, not just B2C). Let’s take one sub-system: food and nutrition for the family. There’s a system of deciding what to eat and drink, there’s a system of shopping, whether online or offline or both, there’s a system of storage, perhaps involving freezing, refrigeration, and room temperature. There’s a system of preparation and cooking, involving a lot of home appliances. There’s a system of cutlery and place settings, and another for washing these. Taken altogether, it’s a complex system. And it may be continuously changing. What if the family Is becoming more conscious about healthy eating? What if they start substituting lower-calorie foods for higher-calorie versions? What if they start reading ingredient labels? What if they buy more fresh food and less manufactured food? What if they discover new preparations like blenders? 

We can see the physical manifestations of these changing experiences in the market. The periphery of the supermarket where the fresh foods are sold becomes bigger and the center contracts. Healthy cookbooks appear on amazon and social media. Fresh fruit appears in more convenient packaging and new varieties flourish. New brands of healthier crackers and desserts abound.

The point about value is that it is formed in the customer’s system, that system is complex, and it’s always changing. The role of the value entrepreneur is to observe the system, understand the system, fit into this system and make a contribution. It’s possible to identify gaps, maybe gaps the customer is not even aware of. Most importantly, there’s the potential to identify the system the customer will prefer and move to in the future, ideally before they get there themselves. This is value innovation – imagining and inventing the future. Whether in the present or the future, the entrepreneur’s contribution is to help the customer to feel satisfied that they’re making the best choices within their own system. Their system is life, and entrepreneurs help make the system work for them.

Entrepreneurs and entrepreneurial businesses facilitate this feeling of value – make it possible, make it robust, make it repeatable. They are rewarded by customer purchases, and value flows back to the firm as cash flow, to be reinvested in more production and more innovation. The value entrepreneurship loop is continuous. 

Don’t Accept False Dichotomies. Entrepreneurs Exercise Integrated Systems Thinking.

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We talk about politicians trying to divide us, but personnel consultants, business advisors, HR executives, and some psychologists are often worse in wanting to divide us into dichotomies. They tell us we’re either creative or logical, but we can’t be both. We are either intuitive or analytical. We have hard skills or soft skills. Some follow the heart, others the mind. The yin is the critical thinking, executive function, intellectual and cognitive side of us, and the yang is the emotional, prosocial, interpersonal side. Those consultants who exhibit a philosophical bent might talk in terms of Apollonian and Dionysian types of thinker – logic, rationality, and analysis versus intuition, feeling, and synthesis.

Some personality tests utilize multiple variables and combine them in characterizing individuals who are subjected to their question banks. The output is said to represent our strengths (versus weaknesses) or typology (we’re this type, not that type). They’re still ultimately dichotomies, arrayed via X and Y axes or 2X2 charts or high-low graphs.

The dichotomy is false. Either/or thinking of any kind is an error, and the error is magnified when classifying human beings. People are complex systems, a dynamic integration of learning, preferences, genetics, family background, experiences, job history, health, and many, many more elements. They can’t be divided into two piles.

The alternative approach is systems thinking. According to Derek and Laura Cabrera in Systems Thinking Made Simple, we all have it in us to be:

  • critical thinkers who can analyze and solve problems;
  • creative thinkers who can see new and innovative solutions to problems;
  • scientific thinkers who can recognize biases;
  • prosocial thinkers who can work well with others and build strong communities;
  • emotionally intelligent individuals, posessing a sense of self and what we offer to the world.

How do we achieve this balance? It’s an emergent property of practicing systems thinking. We can think about how we think, and therefore how we act and how we collaborate with others. Awareness about how we think is essential for the kind of balance and integration the Cabreras advise is possible.

  • Awareness that everything we think about, perceive and experience is the product of our own mental model which is an approximation of the real world. Self-analysis regarding our own mental model – how good or poor an approximation of the real world is it? – is always a good basis for integrated thinking.
  • Awareness of the role of our own emotions, motivations and preferences in the distinctions we draw, the choices we make, and the decisions we take.
  • Awareness that both our own thoughts and those of others are influenced by unique individual perspectives rather than objective analysis.
  • Awareness that there are many ways to organize and interrelate ideas and things and your current way of doing so is just one of many possibilities.
  • Awareness that cognition, emotion and motivation all influence our mental models and our behavior, and the ability to distinguish among them.

Taken together, this integrated awareness constitutes what the Cabreras call metacognition: thinking about how we think. It’s often referred to as emotional intelligence. Insight into our own thoughts is key to high achievement in all domains.

In business, we refer to the individuals who exhibit integrated, balanced, and systems thinking at the highest level as entrepreneurial. Entrepreneurs, those who think about how to create new and higher levels of value for customers, are systems thinkers at their core:

  • They practice empathy, which is the building of mental models of others – i.e. customers – and the running of imagined value propositions through these models to understand their potential to generate a preferred experience that will result in a business success.
  • They translate the insights from these models into a deliverable service, an act of design that calls for the assembly and combination of multiple components, making choices from the customer’s perspective to decide on which elements to include and which to discard.
  • For service delivery to be accepted by customers, entrepreneurs identify all the possible perceived barriers to purchase from the customer’s point of view, and remove them by conceiving of the best-performing mechanisms.
  • They set up, monitor and resond to feedback lops, which is the essence of adaptive systems thinking.

There is no dichotomy in entrepreneurial thinking. It’s not mediated by strengths and weaknesses, and it’s dominated by neither emotion nor reason, but incorporates both. It’s creative and practical, objective and subjective, empathic and self-aware. Entrepreneurs consciously build their own mental models and continuously test them against the reality of the world of economics. The only dualism that’s relevant is what works and what doesn’t in the world of commerce, and these two possibilities are processed together as learning. The goal is durable success, and entrepreneurs exhibit no ambiguity in their assessment of results.

When the consultants and psychologists want to test you to ascertain whether you exhibit the entrepreneurial personality, it’s best to politely decline. There’s nothing of advantage to learn.

Better to focus on and sharpen your systems thinking:

  • Always thinking of the customer first, assessing their system and their place in it, all of the influences on their choices, and all their desires, preferences and dissatisfactions;
  • Working to translate your customer understanding into a deliverable service, which requires you to consider all the elements and components that make up that service, and how to combine them and integrate them in a single value proposition;
  • Identifying all the potential barriers to purchase – whether the barriers are feelings, insuffiicent knowledge, better alternatives, price or lock-in to existing choices. Removing all barriers requires identifying them – and how they work together – first.
  • Setting up feedback loops and adaptive mechanisms so that you can always respond to customer inputs. Develop an adaptive system.

By focusing on these rules, you’ll build an entrepreneurial system that gets stronger and stronger over time.

There’s no dichotomy. it’s not win-lose or strong-weak or logical-emotional. It’s an integration of components and elements into an entrepreneurial system that learns and consistently improves progress towards a goal.

31. Per Bylund on Big Data vs. Big Ideas

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Wouldn’t it be nice to predict the future? It’s tempting to reach for the analytical tools and big data sets that are newly available and for which big claims are made regarding their predictive capabilities. For entrepreneurs, small businesses and corporate innovation teams, rich qualitative data are far more relevant and collecting these data is far more productive. By this we mean talking to customers and potential customers, observing behaviors rather than collecting clickstream data, and immersing yourself in the unpredictable subjectivity of the consumer.

In this week’s Economics For Entrepreneurs podcast, Dr. Per Bylund analyzes what big data can and can’t do for entrepreneurs and the innovation process, and explains how qualitative data can generate big ideas for the future.

Key Takeaways and Actionable Insights

Predictive analytics can’t predict! That was Dr. Per Bylund’s provocative introduction to our discussion of the uses and drawbacks of big data in the context of the entrepreneurial mission.

The claims made on behalf of the analytical powers of big data may be exaggerated, and entrepreneurs should learn what they can and can not expect from the application of big data analytics to business. Otherwise there is the chance of both error and wasted spending on the tools of business intelligence. It’s important to distinguish between the different roles of multiple data types.

Big Data vs Big Ideas Chart

Click on the image to download the Big Data vs. Big Ideas PDF

Pattern recognition is not prediction. Dr Bylund contrasted what Big Data can and can’t do for entrepreneurs. He used an example of analytics predicting the outcomes of future NFL games. Here there are large sets of historical data on players, teams, plays and previous outcomes. There are limited potential outcomes (e.g. one team will win the game – there is no third team that will unexpectedly turn up to change the range of possible outcomes). The predictive analytics got the outcome right about 75% of the time. In a world of more open-ended results (e.g. predicting the outcome of a multi-team tournament), big data could be expected to be right fewer times. There is danger in over-reliance on the law of large numbers and tendencies like reversion to the mean. Pattern recognition from historical data sets (which is what big data does well) is not prediction.

In fact, in the world of economics and entrepreneurship, there is no prediction. Entrepreneurs deal with social phenomena that emerge from individuals’ actions and interactions, across billions and trillions of instances. Entrepreneurial outcomes depend on how people act, and how they act depends on their feelings, how they see the world (subjectivism) and what they feel like doing. We can’t know or predict that. There may be some general rules that apply in many cases (for example, raising prices rapidly and significantly in a competitive market will, all other things being equal, result in a reduced unit volume of sales). But those rules don’t predict the decisions of specific individuals in specific cases.

Mainstream economists and central planners long for a mechanistic world: turn a dial, get a result. But this approach is not valid. In the economy or any market, all variables are dependent on all other variables. Everything affects everything. The consequences of any action – like central bank interest rate tinkering – affect different people in different ways, and whoever is affected first or last will experience different consequences and react in different ways.

The core of the issue is that human behavior is unpredictable. Subjective choices can’t be predicted.

Prediction implies precision, and that’s not available.

Yet the entrepreneur must deal with the future. The entrepreneur seeks to produce a good or a service that consumers will consider valuable at some point in the future. Even if they tell you today that they will value your offering in the future, they may change their minds.

Is there any contribution that big data can make, any help that it can offer? We discussed these areas:

  • It’s hard to know what people might want in the future. But it might be possible to identify what specific people will not want, based on their past behaviors. Data can show you which purchases cluster together, and which don’t. Beef purchasers may also buy red wine. Vegans won’t buy beef. Facebook and other ad targeting tools (which use big data effectively) can help you avoid marketing beef to vegans or pasta to keto diet followers.
  • Data can sometimes detect dissatisfactions, which are the universal raw material for entrepreneurs.  Analysis of sentiments expressed in reviews can guide you in the right direction. Writing a negative review on Yelp or Trip Advisor is both a behavior and an expression of sentiment and data analytics can detect patterns here. But Dr.Bylund advises us that it can only provide a guide – there is no substitute for talking directly to consumers, human to human.
  • Data can help with segmentation. If you want to better understand a geographical market segment or a demographic segment or a behavioral segment, there are lots of data that can detect the differences between segments, and this can help you with targeting of communications (but not necessarily with the message).
  • Quantitative data can be combined with qualitative data to sharpen insights. Dr. Smita Bakshi, in our episode #24 described how analysis of student performance data (50% of computer science students don’t complete their first-year course) combined with personal discussions with students in class, delivered an empathic understanding of their struggles, from which her team developed a winning interactive learning tool for computer programming languages.

Sometimes an entrepreneur can skip the big data analytics, but never the empathic diagnosis. Entrepreneurship consists of understanding the mind of the consumer and understanding the economics of the marketplace. Where the market is heading and what will be in consumers’ minds in the future are more the realm of judgement than analytics.

Entrepreneurs behave differently than dig data-driven large corporates. They think harder about the customer, they study human motivation, they utilize the rich qualitative data that comes from talking to customers, and they concentrate their capital and resources on developing and extrapolating their customer understanding. They uncover subjective value – the value that only exists in the mind of the consumer. Imagination is the key to the future. Entrepreneurs try to succeed in bringing about that imagined future. Big data might help them avoid mistakes, but it’s impossible to rely on the past to produce the future.

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Value Innovation Pathways

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New entrepreneurial thinking can bring profitable differentiation to all markets.

In a recent podcast episode, Jeremy Vesta gave context to this notion by explaining how his business, Harmony Beef, brings innovation to a lightly differentiated industry like beef. Check out the results below or click here download the PDF version.

Value Innovation Pathways

15. Jeremy Vesta On How To Create Differentiated Value In Seemingly Undifferentiated Markets.

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Jeremy Vesta is a partner in Vesta Holdings, and a manager of Harmony Beef, a greenfield start-up in the fresh beef industry. Fresh beef might be thought of as a commoditized industry. But new entrepreneurial thinking can bring profitable differentiation to all markets. Here are some highlights from our conversation.

Show Notes

What’s the entrepreneurial response if you are operating in a commodity-like market?

A fresh beef processor stands in the middle of the production chain, downstream from the unprocessed inputs and upstream relative to the distributors, retailers and consumers. Some abundant products and services that are inputs to finished consumer goods are deemed to be commodities and subject to price competition – the lowest price gets the contract. Market conditions like these can be very challenging for entrepreneurs, apparently leaving little room for the kind of value creation or brand building that will generate higher prices and customer loyalty. What’s the right entrepreneurial response?

Operational excellence is a primary pillar of value provision in commodity markets.

Jeremy’s first foundational principle for value creation in his industry – fresh beef – is operational excellence. It is often overlooked as a source of value by theorists, but not by customers. When they can count on exactness in meeting specifications, when their preferred timing is respected, when the quantities they ordered are the quantities that are delivered, customers translate the reliability of promises kept into trustworthiness, and the integrity of contractual precision into relationship strength. Operational excellence is often underestimated as a source of customer value.

The same is true further up the production chain. When an operator exhibits excellence to upstream suppliers and vendors, they are reassured that they are selling into a waste-free and efficient partnership, without operating friction or relationship tension. Check out the rest of Jeremy’s fundamental principles for value creation in his industry in our PDF download: Value Innovation Pathways for Harmony Beef.

An operator in a lightly differentiated market can provide the valuable service of transmitting market signals up and down the chain.

Austrian economists say that the capital structure of an industry reflects the preferences of the end-consumer. Once customer and supplier relationships are established, the middle-of-the-production chain firm can provide a valuable market function as a curator, evaluator and transmitter of market signals. In Jeremy’s business, consumer signals pass through retailers as a request for “more products like that” or, conversely, as a non-purchase that shows up as “shrink” (a perishable product that is unsold before its expiration date). Jeremy’s firm can pass these signals to the upstream suppliers to adjust their production practices. Similarly, social conversations in the marketplace about grass-fed beef, or organic beef, or hormone free/antibiotic free beef can be passed up the chain to producers willing to respond, and the resulting new products can be marketed as innovations by the retailer.

Careful and responsive market signal management enables increasingly sophisticated consumer, customer and product segmentation.

True commodity markets, if there are such things, defy segmentation. The operator who senses the potential for market changes by curating market signals can create effective segmentation to increase differentiation and therefore profits. When the upstream producer provides more grass-fed beef in response to the market signals transmitted through Jeremy’s company, the supply side is newly segmented to Jeremy’s benefit. Then his company can supply the beef to selected retailers, restaurants and foodservice distributors who have expressed an interest in serving it to consumers, thus creating strong downstream segmentation and relationships. The capability to organize market signals, deduce evolutions in consumer preference, and to be a catalyst for innovation in the production chain is an important value-creation skill, even in (perhaps especially in) a lightly differentiated market.

The use of technology is another source of differentiation.

Jeremy identified vacuum-packaging as a consumer-value creating technological advance in his industry. The product arrives at the consumer in a fresher condition and better protected, and provides the consumer more convenience as well as greater confidence in storing and handling. Jeremy’s company is an early adopter of such operational technologies, procuring the most advanced machinery and the latest componentry (such as high-tech bag material) to ensure the best functional performance (better / more complete vacuum) and therefore the greatest level of consumer emotional benefit (trust). Beef is still beef, but packaging and presentation are open pathways to greater customer satisfaction.

Most importantly, a firm can bring its own distinguishing values to bear in any market.

Culture, values and integrity can’t be commoditized. Jeremy’s family chose the name Harmony for their beef company with great care and purposeful intent. Harmony up and down the production chain is built on trust and service. The company realizes more value when it exhibits core, true, genuine empathy. All market participants operate more efficiently when there is unquestioned trust. Each helps the other realize its goals. That doesn’t mean that there are never any problems or disputes, but integrity always defuses tensions, and trust always finds collaborative understanding. Setting high standards and adhering to a distinguished set of high values is beneficial for the whole production chain. Fairness pervades transactions. The market synchronizes when the counterparties in trades include care and trust in their dealings.

Find out more about Harmony Beef at harmonybeef.ca

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