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185. Jessica Fialkovich On The Business Of Selling Businesses

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Every business should have an exit plan in mind from Day 1. Why? Because it’s impossible to control the timing of an exit or the changes in circumstances that might precipitate it. Venture capitalists know this, and build in their exit formulas at the time of their initial funding. Entrepreneurs should think the same way. And, like any business process, selling a business is a knowledge-based process that repays an investment in learning its techniques and critical success factors. Economics For Business talked to Jessica Fialkovich, a successful business builder in her own right, who founded Exit Factor, an advisory firm that helps entrepreneurs get the most from selling their businesses.

Key Takeaways and Actionable Insights

Entrepreneurship provides better career control and security than corporate life.

Jessica climbed the corporate ladder, investing effort and skill into being a great employee. But she was just a name on a list when the GFC came along – a list of those to be let go when Lehman Brothers (her employer’s funder) collapsed.

She realized that entrepreneurship provided her with great security. There’s uncertainty, but the entrepreneur decides what their future is, takes responsibility for those decisions, and accepts the accountability.

She built a successful business through hard work and the discovery process of identifying target customers and finding new and better ways to bring them value. Her chosen business was in wine sales to wine-loving customers, many of whom were connoisseurs. She developed many specialized services including finding rare wines for collectors, and her clientele spanned the globe. She incorporated the latest technologies and innovated in marketing techniques. She worked long hours, talking to customers across 16 time zones from Japan to California.

Then she decided to sell.

Entrepreneurs experience a lot less support when selling a business than when building it.

When you’re successfully growing a business, everyone wants to help, providing you with business services and supplies, and advice and ideas. What Jessica found when she came to sell was that she was on her own. It was hard to find expert help, or the requisite resources, or pretty much any kind of support infrastructure for a transaction of the size she was planning. For big business, there’s investment banking. For the 99.9% of businesses outside the Fortune 500, there was nothing similar. There were some so-called business brokers, but they were not dedicated specialists, not professionals in the specific process of selling, unreliable and poor at client service.

As an alert entrepreneur, Jessica understood that this finding signaled a market need.

The first step to design for an under-served market is to draw on relevant experience from parallel markets.

Business development always starts with first principles: is there a market to be served, in that some potential customers feel an unmet need or have a meaningful problem to be solved? Jessica had first-hand knowledge of the problem, and talking to entrepreneurs in similar situations reinforced her confidence in the market’s potential.

The comparison market Jessica chose was investment banking, which can be thought of as selling businesses of a larger scale. There’s an established investment banking process and a timeline of steps and milestones from preparing an evaluation, to developing the pitch deck, to the identification of the best buyers and the tailoring of a marketing plan for them. Jessica’s husband had some relevant investment banking experience which enhanced the knowledge transfer from one field to another, and provided a reality check for the process design.

Business-to-business services development and execution has its own set of rules; the most important one is the nurturing of relationships.

A business brokerage is a high-intensity B2B service bundle requiring a lot of in-person customized relationship management. There’s pitching the potential customers in the first place, customizing the service tom their particular business and to meet their specific needs, with a big need for staff training to deliver these specialized services. B2B service providers must be both sales experts and process experts. That requires a lot of human capital.

Jessica’s answer was to design and build a system-based model that, once in place, could be repeated and reproduced via well-trained staff with the right IT support.

She has found B2B services to be even more demanding than sourcing rare wines for connoisseurs. Selling a business is somehow more personal and individual. A client’s perception of what their business is worth may be quite different than the market’s perception. It’s the nurturing of relationships that smooths out the potential jagged edges in these transactions.

Some insights for entrepreneurs selling their business.

  • Identify your exit options from Day 1 of your business. Since it’s impossible to control exit timing – which may be due to unforeseen changes in circumstances – it’s best to lay the runway from the start. Plan to run a salable business, as well as one that’s profitable and growing. Don’t have a fire sale or panic sale or be unprepared.
  • Tailoring your selling process to the size and type of your business is important. There are different influences on what moves valuations up or down depending on business size, but, in all cases, it’s a process with a beginning, a middle and an end to be planned for in advance. You’ve got to know how to find buyers, how to source offers, and how to keep your business in good shape for due diligence.
  • Conduct regular health checks for evaluation. Always know what your business is worth. Find out how businesses are valued in your industry or sector. Make sure your business shows well on the criteria that are applied in your field.
  • EBITDA multiples are the dominant valuation metric. You may read in the Wall Street Journal about businesses being acquired for brand value, or for technology integration, or for other reasons of corporate M&A strategy. For small and medium size businesses, EBITDA multiples remain the dominant metric. There’s some art regarding what the precise multiple may turn out to be, but it’d within a range and is not going to vary wildly.
  • There is some room for qualitative factors and subjective valuation. Jessica listed subjective factors ranging from the degree of business involvement of the owner (and the worry that their future absence might be detrimental) to the perceived quality of the brand and its imagery and reputation.
  • The ultimate asset is a proven and scalable business model. If you can demonstrate that your business model returns increases in revenue and profit growth for additional investments in capital or people or marketing, then you are most likely to find an eager buyer. Make sure you can model your business in this way and that the data are clean and credible.

Additional Resources

Getting The Most For Selling Your Business by Jessica Fialkovich: Mises.org/E4B_185_Book

ExitFactor.com

Jessica on LinkedIn: Mises.org/E4B_185_LinkedIn

184. Rick West: When B2B Goes Click-To-Cart

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Do the principles of customer value generation that we espouse in our Economics For Business program apply equally for both B2C and B2B businesses? The answer is emphatically yes. B2B customers are seeking subjective value and a value experience just as B2C customers are. They have a clear sense of the things that matter to them, and those include emotional and personal values as well as price and functionality and performance.

In fact, trends that begin in the B2C domain often quickly begin to influence the B2B domain, and the alert entrepreneur can track those trends in B2C and establish an early advantage by exploring them for their business customers. Rick West has done exactly that with his business services company, Field Agent.

Key Takeaways and Actionable Insights

In addition to identifying a meaningful problem, and providing an effective innovative solution, entrepreneurs in today’s B2B market must offer the right service delivery platform.

Rick West created a company called Field Agent to provide B2B customers with a meaningful service: monitoring their retail stores and shopper behavior and collecting in-store data about the interactions of shoppers, stores, shelves, displays and products. This kind of information is high value for both the retail operators (like Walmart) and the companies that sell products through retail stores (such as Procter and Gamble or The Coca-Cola Company). The set of services often goes by the terminology of “shopper marketing”.

Typically, such business service offerings have a long and cumbersome sales cycle. The service provider and the service client get in contact, there are meetings, prices are negotiated, and contracts are prepared and signed. Then, once the service is executed, there are more steps in analytics and preparation of presentations of findings, and another big meeting to discuss the findings and recommendations. Lots of meetings, lots of travel, lots of time, lots of lawyers.

Is this the right service delivery platform? It’s been virtually institutionalized over time. But it’s not a good fit with modern business models and the modern technology-shaped environment.

The Amazon effect.

Think about purchasing on a shopping platform like amazon.com. The customer first self-educates. If there’s a complex product to buy – such as an expensive flat screen HDTV with internet connectivity and interaction with all the latest entertainment ecosystem devices like Roku and streaming services like Apple TV – the customer might search for information via google, might visit some ratings sites, do some comparison shopping, and generally collect information to get to the point where they are confident of making a purchase. They don’t need to speak to an HDTV salesperson or a “customer success manager” or to sign a paper contract.

Or think of a slightly more complex transaction such as buying a car on Vroom. There are some contracts to be signed via DocuSign, but confident shoppers are comfortable with self-educating, making their decision, committing, and experiencing the delivery of the car to their home, perhaps with the added service of taking away their old one.

This is the world of services and service delivery we live in today. Your B2B customer also has a life as a consumer and an internet shopper, and is fully aware of the efficiency, convenience, and safety of these kinds of transactions. Call it the amazon effect: customers becoming comfortable with the “click-to-cart” experience, without interpersonal interaction with a salesperson or other service personnel.

Why not in B2B services?

Click-to-cart has arrived in B2B services.

Rick West’s customers for Field Agent services can purchase them on plumshop.com. A full array of shopper marketing services is offered via pull-down menus in categories such as Audits, Marketing, and Insights. Under these headings are Display Photography, Price Check, Shelf Management, Price Sensitivity Study, and dozens more, all in the language of shopper marketing that’s well understood by the knowledgeable B2B service buyer.

Clicking on any one of these takes the client to a price list and a detailed description of the service and its output, all in the colorful and engaging presentation style of an e-commerce site (like amazon.com!) The client can create an account online and make a transaction just as easily as buying a TV on amazon (and probably easier than buying a car on Vroom).

Self-educated buyers know exactly what they want, and the description and designation of the services are crisp and clear. Clients can check out testimonials, comparison shop, and take all the steps any smart B2B service purchaser would take to get themselves to the point of confidence and trust.

Some customized services will always be a client requirement, but there will be a rapid shift to more and more self-service.

Some clients and some projects will always require a custom, tailored response, and Rick’s company has both custom service and automated service capabilities. One point he makes is that a first project might be customized and accompanied by in-person client service, while for the second or repeat purchase, the client will be comfortable with the click-to-cart process.

Rick’s guessing a 70:30 split for automated versus customer services over time in his field, especially as the interface software learns and becomes better and better at responding to client needs and preferences.

B2B entrepreneurs are trend-spotters in the B2C domain.

People are people. Economic behaviors that we can observe in consumer shopping and buying are bound eventually to show up in business-to-business markets. They’re the same people – your B2B client is a consumer when not at work. Smart B2B entrepreneurs keep an eye open for B2C trends that can be expected to transfer to B2B and jump on them early.

Additional Resources

Field Agent: FieldAgent.net

Plum: PlumShop.com/fa/shop

Rick West on LinkedIn: Mises.org/E4B_184_LinkedIn

183. Ahmed Elsamadisi: The Stories Data Can Tell Us If We Ask The Right Questions

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How do companies make decisions? Data certainly don’t make decisions, nor do analytics, nor do the computers they run on. Human begins make decisions — the human factor is crucial. Subjectivism is paramount, even in the age of big data and A.I. The key still lies with the people who are interacting with the data to generate human insights.

Ahmed Elsamadisi is one of the leading data scientists in the world. He’s worked on self-driving cars and nuclear defense and some of the biggest business challenges on earth. He believes that it is the stories we tell from data that drive business success. We are privileged to interview him at Economics For Business podcast, and he gave us a lot of useful advice we can all use every day in managing our businesses.

Key Takeaways and Actionable Insights

The data community has made data and algorithmic analysis far too complex, to the point where it’s no longer useful for business.

The path-dependent route to today’s complex data tables was paved with lots and lots of columns and lots and lots of rows. These data tables are leftovers from the early days of computing SQL language was designed to manipulate these rows and columns. A.I. comes along and can analyze all the possible combinations of data cells. Business executives ask their data departments to generate a lot of these combinations to search for patterns. It often takes a long time, a lot of revisions, and generates no clear answers.

Another aspect of history is the use of dashboards. We tend to design dashboards rather than formulate good business questions. The metrics on dashboards are sometimes useful for operations but they’re often not at all useful for understanding the causal connections between data points. Consequently, different people can interpret them in different ways and there is no consensus as to what they mean and what to do about it.

The purpose of data analytics is to generate good decisions that lead to action.

The entrepreneurial method drives towards D and A: decisions and actions. Analytics should help to formulate the hypotheses on which to base decisions. The problem with complex dashboards and algorithmic pattern recognition is that they often don’t give clear direction on recommended action, especially when the interpretation varies depending on who is doing the interpreting.

Ahmed’s experience is that sharing a numerical dashboard with 10 executives is very likely to result in 10 different interpretations, and the resultant confusion and disagreement freezes action rather than accelerating it.

We need data to tell us stories that we can all rally around.

The most powerful tool for developing consensus around action is narrative — often called storytelling. While 10 dashboard interpretations might lead to 10 different action plans, a single well-told story can align everyone who hears it, understands it, and internalizes it. We heard about the power of narrative in episode #181 (Mises.org/E4B_181) in which Brian Rivera explained the role of storytelling and sensemaking in The Flow System of management, and in episode #152 (Mises.org/E4B_152) where Derek and Laura Cabrera explained the power of aligned mental models for driving business. Stories achieve alignment.

Ahmed Elsamadisi built his service, narrator.ai, to output data analytics in the form of a story. The complexity riddle is removed and replaced with a narrative that all executives, not just data scientists, can understand. Narrator.ai re-integrates data science with the all-important human element of understanding stories.

The way to get data to tell stories is with a conversation.

Ahmed says that the way we ask questions (data queries) is flawed. It’s quite a normal practice to set the A.I. to search the data tables to look for patterns to see if anything interesting emerges. This is what Ahmed calls “lazy hypothesis generation”, which is never going to yield useful actionable insights (yet many big analytics companies are taking in huge customer revenues for just this service). Clients may claim to be making data-driven decisions but that’s mis-characterizing this business behavior, typical though it may be.

Ahmed advises us to think more in terms of a conversation with data. To facilitate this, he has developed a universal data model with just three variables: an entity (such as a customer), an action, and time. Every business question is about a customer taking some action in some time period. The universal data model enables the conversation: what action did the customer take in what period of time, e.g., when did they open the email and what action did they take after opening it. This is not a database query, it’s a more thoughtful question about the customer experience and how to understand it.

Ahmed told us that training customers in this conversational mode of interaction with the universal data model results in a cultural shift in thinking. The conversation can go back and forth in several iterations until the understanding is fully honed. Clients hear the data talking to them through the stories that narrator.ai generates. The have deeper insights and a story to share to form a consensus around the action that the story suggests. Narrator.ai clients have used stories for everything from describing new product specs to updating board decks.

Great conversations with data are based on empathy and thinking about the customer experience.

At Economics For Business, we elevate customer empathy a the most important business skill, in the context of an understanding of customer value as subjective, a good feeling from an enjoyable or satisfying experience.

Ahmed advises us to think in this same way when formulating conversations with data to generate insights. If we think about the customer’s experience, desired and actual, and the actions they take before and after that experience, and the time context of the experience, we’ll do well in formulating good questions. The action component of the universal data model is central to the Austrian deductive method: knowing what people do can help us deduce motivation and expectation. Knowing what they did next can shed light on the ends they had in mind. Actions like opening e-mails or repeat buying are also revealing of intent and expectations. The more we converse with the data, the more insight we can gain.

Storytelling with data is another implementation of subjective quantification — with the benefit of enhanced intuition over time.

In episode #176 (Mises.org/E4B_176), Peter Lewin introduced us to the Austrian concept of subjective quantification — turning customers subjective valuations into numbers such as capital value on a balance sheet. We tested the subjective quantification term with Ahmed, and he endorsed it — with a major addition. It’s important to include the dimension of time. If, over time, we have better and better conversations with data and formulate better questions and hypotheses, we’ll get better and better at generating insights. Our intuition will improve. We’ll get a better “feel” for the data. Even our empathy can become more accurate.

Additional Resources

Narrator.ai and its excellent blog, Narrator.ai/blog

“Top Ten Signs You Have A Data Modeling Problem”: Mises.org/E4B_183_Blog

Ahmed Elsamadisi on LinkedIn: Mises.org/E4B_183_LinkedIn

182. Gordon Miller: What’s Your Absorptive Capacity for User-Generated Innovation?

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It’s often the case that lead users — the most sophisticated, committed, and energetic users — are an excellent source of innovation ideas. Those customers who are most engaged are thinking the most intensely and the most creatively about what they want from the usage experience. We came across a particularly instructive example: video game modders. Who are modders, what do they do, and what can we learn from them? Professor Gordon Miller has studied this important entrepreneurial phenomenon, and he joins Economics for Business to share his knowledge.

Key Takeaways and Actionable Insights.

Modding is user-generated value innovation.

Modding, from modifying, is the act of a changing a game, usually through computer programming, with software tools that are not part of the game. This can mean fixing bugs, modifying content to improve it, or adding content. But modding is not an activity taken on by those at game companies—developers release patches and downloadable content, not mods. Modding is instead done by players and fans of the game… Modding is more than adjusting the preferences or game settings, it is making changes that cannot be made through the game as it is.

Game producers and designers enable and encourage this user innovation.

Game producers have come to recognize that the creative ideas and initiatives of the modding community can contribute new value to their businesses and franchises. Games like Minecraft enable users to explore, within a predesigned GUI, a practically endless 3-dimensional world to build innovative structures and other things like functional computers and console emulators. Minecraft also makes available code and tools for modders to create mods that are essentially new games, or major innovations within the original game. The famous DOTA (“Defense Of The Agents”) game is entirely the product of the modding community, encouraged and enabled by the developer, Valve Software.

Modding is a practical application of the theory of absorptive capacity.

Absorptive capacity refers to the capability of a firm to recognize, collect, assimilate, process, transform and use external knowledge for competitive advantage in innovation, flexibility, and overall business performance. The external sources of knowledge are knowledge networks, either formal or informal or a combination of both. Formal networks might include suppliers and partners, university research departments and labs, and even industry share groups. It’s sometimes called open innovation — actively looking at and tapping into what other firms are doing.

Informal networks are those like the modder community — lead users, user groups, tinkerers, and so on. This is sometimes referred to as distributed innovation or user innovation — it’s not the producer originating the innovation, but an external informal source.

The challenge is to be able to generate awareness of these sources of knowledge, evaluate them, bring them inside to the company for evaluation and processing, and turn them into useful innovations or internal changes.

In highly dynamic industries, it is productive to tap into these knowledge networks.

Professor Miller refers to the external networks of knowledge, both formal and informal, as the wisdom of the crowd. If you are operating in an environment characterized by high dynamism and rapid change, the wisdom the of crowd is an important and often decisive resource.

  1. The wisdom of the crowd can contribute to innovation and business performance, especially in the form of idea diversity.
  2. Innovation performance improves through better firm capitalization of knowledge resources.
  3. The wisdom of the crowd offsets firm rigidity — making it more receptive to new ideas,
  4. Entrepreneurial judgment can increase innovation performance by increasing absorptive capacity.
  5. Innovation performance feeds back into absorptive capacity, creating an iterative self-improvement loop.

Professor Miller proposes three areas of business development by capitalizing on external user groups.

First, firms struggling to innovate due to internal rigidities may well benefit from developing communities — similar in concept to modding communities – connected to their own industries. By absorbing and incorporating the learning that occurs in such groups, they can take advantage of readily available innovative ideas for change.

Second, these communities may also provide a wellspring of talent for enhancing the firm’s absorptive capacity in useful ways. This is a pool of unique and entrepreneurial individuals with the potential to enhance the firm’s human capital and make the firm more explorative.

Third, even if the firm does not fully tap in to all the knowledge coming from the community, there is still the potential for new solutions to emerge that are stimulated by external ideas. There are always hobbyists and fans, and technology easily facilitates their interactions. Crowdsourced knowledge provides a uniquely useful tool for enhancing organizational innovation.

The wisdom of the crowd is a path to profit.

Modding as an art form allows players to express what they most want games to be. This becomes a useful indicator for determining the most profitable paths to pursue. Firms seeking to enhance their innovative capabilities and remain profitable must pay attention to external sources of learning, however informal.

Additional Resources

Download our free E4B PDF: “Assessing Your Firm’s Absorptive Capacity”: Mises.org/E4B_182_PDF

The Invisible Hand In Virtual Worlds: The Economic Order of Video Games by Matthew McCaffrey: Mises.org/E4B_182_Book

181. Brian Rivera on the Flow System

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The traditional approaches to the structure and management of firms are becoming barriers to customer value. The Austrian capital theory approach recognizes that all value in the corporation flows to it from the value experiences of customers. Therefore traditional organizational design — centralization, hierarchies, divisions, bureaucracy, command-and-control — insofar as they are poorly aligned with customer value actually detract from the value of the firm.

There are alternative approaches to business organization, several of which we have highlighted in Economics For Business. One well-articulated alternative is The Flow System (Mises.org/E4B_181_Book). We talk to one of the authors of the concept, Brian Rivera.

Key Takeaways and Actionable Insights

The first principle of all business organization is the delivery of customer value.

The superiority and broad applicability of the Austrian business model emanates from its value-dominant logic. The purpose of business is to facilitate a value experience on the part of the customer. Only value matters, and all else (resources employed, raw materials used, production costs, organization, supplier partnerships, etc.) follows. Austrian capital theory enables managers to identify value drivers (i.e. what resources, raw materials, production costs, organization, partnerships result in the most value for customers).

The focus of the Flow System is to deliver the best value to the customer through FLOW: the interconnection of complexity thinking, distributed leadership, and team science.

Flow is another term for entrepreneurial judgment.

In Brian Rivera’s book, The Flow System, flow is described as “a narrative of in-the-moment decision making of judgments”. It is entrepreneurial action and interaction with the environment, irrespective of structure. It’s goal-oriented adaptive and collaborative behavior of teams and firms.

The Austrian perceptions of the market as a flow, value as a flow and capital as a flow mean that the Austrian business model is perfectly consistent with The Flow System.

Mastering complexity thinking is fundamental to implementing the flow system.

Many business environments exhibit high variability and uncertainty. We’ve used the term VUCA to characterize them: volatile, uncertain, complex and ambiguous. All business managers and entrepreneurs can benefit from adopting a complexity world-view, and understanding business as a complex system.

Complex adaptive systems are open, continuously dynamic, evolving, learning, and responsive to external changes. They can oscillate between order and disorder, they’re non-linear and can’t be predicted or controlled.

Brian Rivera highlights a number of techniques to manage in such an environment, including:

Sensemaking: the development of narratives or storytelling to conceptualize the complex environment and develop an appropriate set of mental models. The question to ask is, “What’s the story?” — the story that can unite the firm and its partners around a shared understanding and shared purpose.

Weak signal detection: in complexity, signals are never clear; uncertainty is the norm and errors are always a possibility. Weak signal detection is simply intensifying the scnning of the environment for insights and noticing more, so that both threats and opportunities can be detected earlier to avoid surprise.

Action: the only source of real knowledge about the world is experience, and experience results from action. Therefore, The Flow System emphasizes action — the D and the A in the OODA loop.

The Flow System employs a new definition of leadership: distributed leadership.

Distributed leadership is described as leadership that extends horizontally, vertically and every place between. The tools of leadership are not structures (such as hierarchy and top-down management) but methods:

  • Psychological safety
  • Active listening
  • Intent
  • Shared mental models
  • Bias towards action
  • Collaboration
  • Mentoring.

Perhaps the most essential factor is psychological safety among team members. It’s a group property — a shared belief in which the team is safe from interpersonal risk taking. Individuals can speak up, take risks, and experiment without fear of criticism or reprisal so long as every action fits within the shared belief framework. There is no command structure, and teams are the building blocks of the organization.

There’s a new field of team science for collaborative functioning in the workplace.

Team science is multi-disciplinary. Teams are necessary for the development of solutions in many problem areas, and the research behind team science has been conducted in many fields (ecology, healthcare, organizational science, psychology and more).

A team is a collection of individuals with a shared goal, who interact and are interdependent in their tasks, who have different roles while sharing responsibility for outcomes, and constitute a social entity embedded in a larger system (a business unit or corporation) requiring them to manage relationships across organizational boundaries.

A major section of the book The Flow System is devoted to an overview of the current state of team science as it relates to business organizations, covering team size and composition, teamwork, team processes and team transitions, team culture, team effectiveness, and combining teams for multi-team scaling.

Here’s a sample concerning the functions of shared leadership in a team:

  • Compelling team purpose — exceeding individual goals.
  • Members work jointly to integrate their complementary talent and skills.
  • Outcomes are collective, joint efforts.
  • Members adapt their working approach to each other.
  • Mutual accountability plus individual accountability.

Core principles and attributes of The Flow System.

  1. Customer first
  2. Value is a flow
  3. Complexity thinking, distributed leadership and team science can facilitate the flow when they are interconnected and synchronized.

Additional Resources

E4B Knowledge Graphic — “The Flow System Guide” (PDF): Mises.org/E4B_181_PDF

theflowsystem.com

flowguides.org

The Flow System by by John Turner, Nigel Thurlow, and Brian Rivera: Mises.org/E4B_181_Book

Teams That Work: The Seven Drivers Of Tea Effectiveness by Scott Tannenbaum and Eduardo Salas: Mises.org/E4B_181_Book2

180. Raushan Gross On the Newly Emerging And Newly Enabling Institutions Of Entrepreneurship

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Entrepreneurship today is a movement, a welling-up of new economic creativity, combined with a great desire for economic freedom and the joys of self-reliance and discovery. The movement is newly empowered by enabling institutions that simply weren’t around a few years ago, including the internet and its digital economic platforms. Professor Raushan Gross is a great observer and great documenter of this entrepreneurial surge, and he joins the Economics For Business podcast to share some of his original and distinctive observations about the very human aspects of his new entrepreneurial studies.

Key Takeaways and Actionable Insights

Let’s not over-theorize and over-professionalize entrepreneurship: it’s people finding new ways to thrive by creatively serving other people.

There’s an explosion of university entrepreneurship programs, entrepreneurship research and entrepreneurship methodologies. There’s an attempt to professionalize entrepreneurship, to make it a product of business schools.

Raushan Gross sees things differently, through a humanist, subjective and ethical lens. He looks at the culture of entrepreneurship, the social movement of individuals making their way in life in a new manner, seeing new opportunities to make their lives better for themselves and their families by making life better for others.

There’s a newly emerging set of institutions and a new class of entrepreneur: the digitalpreneur.

Economists take an interest in how institutions shape behavior and economic activity. They see institutions as constraints. They sometimes call them “the rules of the game”. Professor Gross has a different take. The new institutions of entrepreneurship — the internet, digital platforms, e-commerce, digitization in general — are not constraining; rather, they are openings to a new space with new possibilities. This digital space is welcoming. There’s abundant knowledge to be shared. There are new ways to think about access to resources, about production and marketing and organization. There’s a new world of price signals, much more flexible and fast-changing, and the route to cash flow and profit is faster.

Professor Gross identifies digitalpreneurs as a new economic class: not higher or lower, not defined by their origins or background, free to move at any speed and to access any place in their relentless, unbounded pursuit of entrepreneurship.

Today’s entrepreneurs are rewriting economic history: from the invisible hand to the visible hand to the digital hand.

Adam Smith introduced the metaphor of the invisible hand — the concept that individual economic actors and firms entrepreneurially pursuing their own profit goals generate the economic system we call free market capitalism, with benefits for all of society. Friedrich Hayek expressed a similar idea as “spontaneous order”. The invisible hand guided the rapid growth in real standards of living of the industrial revolution.

Then the visible hand imposed itself: the concepts of management control, and of planning and centralization. Creativity, innovation, and rapid growth were suppressed, while bureaucracies expanded. We got “Bullshit Jobs”, in David Graeber’s locution, from which creativity and caring were expunged.

Professor Gross takes us beyond both the invisible hand and the visible hand to the digital hand, which gently guides digitalpreneurs to participate in or even create new markets. The digital hand is generative. It enables digitalpreneurs to operate their own digital platforms, to construct their own digital economy, to assemble their own economic knowledge and to find their own unique place in the knowledge economy. The digital hand opens up new pathways to economic freedom.

Digital entrepreneurship can be conducted at any scale, but watch out for the dead hand.

Where are the corporations in their embrace of digitalpreneurs? Certainly, there are the new digital corporations like Amazon and Google who seem willing to hire members of the new class and turn them loose in creative experimentation. But what about the old economy corporations who need to make the transition to the new world? Are they hiring entrepreneurs? Are they enabling entrepreneurs, freeing them from bureaucracy and from the command-and-control hierarchy? The evidence so far is that they are not.

How to integrate the entrepreneurial orientation into a corporate organization remains an unsolved mystery. How can the corporate advantages of reach and scale be leveraged to further realize the senses of purpose and meaning that drive entrepreneurship? How can corporations shift to the entrepreneurial culture?

They need to find ways to eliminate what Professor Gross calls the Dead Hand — bureaucracy, regulation, control, risk-aversion, centralization, procedures, and rules.

But corporate culture is not the only barrier to the realization of the entrepreneurial society. There are other cultural barriers to overcome.

Professor Deirdre McCloskey is famous for her analysis that the catalyst for what she calls The Great Enrichment — the 3000% increase in real standards of living in certain Western countries from 1800 to the present — was a change in how we talked about entrepreneurship. The perceptions and descriptions of the bourgeois life of commerce transitioned from scorn to admiration. Entrepreneurs came to be seen as bold and innovative, a force for good, providers of desirable services enhancing the quality of life.

Professor Gross sees a fresh need for such a change in language and cultural support for the new age of digital entrepreneurship. One example he gives is the language of venture failure. Initiatives that are concluded early or don’t hit some target or don’t attract sufficient buyers or don’t generate enough profit to be sustainable are deemed “failures”. This characterization tends to lead to erroneous conclusions about risk (as in risk of failure) and about the people who engaged in the initiatives (“failures” or, worse, “losers”).

There’s a much different and better way to frame the same data as learning, and augmenting the pool of knowledge. When we think of entrepreneurship as a flow, we can visualize how information flows from the past to the present, elevating the intelligence of every entrepreneur and every firm that’s operating today. Not only does knowledge flow, it compounds, so today’s entrepreneurs can be exponentially more informed than their predecessors.

The more we adopt this win-win cultural approach to cumulative entrepreneurial knowledge-building, as opposed to the win-lose language of failure and success, the closer we’ll come to the beneficent entrepreneurial society that Adam Smith imagined, before he was so rudely interrupted.

Additional Resources

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