воскресенье, 16 февраля 2025 г.

Slicing pie - частка в бізнесі динамічно зростає пропорційно внеску

 


𝗦𝗹𝗶𝗰𝗶𝗻𝗴 𝗣𝗶𝗲 - це динамічна модель розподілу часток в бізнесі, розроблена венчурним інвестором Mike Moyer.
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🔴 Для кого?

Для стартапів і бізнесу на ранніх етапах, коли партнери роблять нерівномірний внесок (грошима, часом, ресурсами).
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🔴 Суть методу:

Замість того щоб фіксувати частки до початку роботи, Slicing Pie пропонує динамічне нарахування часток залежно від реального внеску кожного партнера.
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🔴 Як працює:

1️⃣ Кожному виду вкладу за домовленістю присвоюється свій коефіцієнт.

2️⃣  Кожен внесок (гроші, праця, обладнання, зв'язки тощо) фіксується і отримує очки помножені на коефіцієнт.

3️⃣ Внесок кожного партнера регулярно (щомісяця, щокварталу), оновлюється і його частка розраховується як % від загальної суми очок.
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🔴 Приклад розрахунку:

Нехай у бізнесі два партнери:

♦️ 𝗔𝗹𝗲𝘅 (инвестор) → вкладає гроші

♦️ 𝗕𝗼𝗿𝗶𝘀 (спеціаліст) →  організовує бізнес.

⬇️ Вклади партнерів за 6 місяців:

𝗔𝗹𝗲𝘅:
Внесок - $𝟯𝟬'𝟬𝟬𝟬
Оцінка внеску - $𝟯𝟬'𝟬𝟬𝟬
Коефіцієнт - 𝟰х
Кількість очок - 𝟭𝟮𝟬ʼ𝟬𝟬𝟬


𝗕𝗼𝗿𝗶𝘀:
Внесок - 𝟲𝟬𝟬 годин розробки
Оцінка внеску - $𝟯𝟬,𝟬𝟬𝟬
Коефіцієнт - 𝟮х
Кількість очок 𝟲𝟬,𝟬𝟬𝟬

Внесок - привів клієнтів, $𝟭𝟬,𝟬𝟬𝟬 виручки
Оцінка внеску $𝟭𝟬,𝟬𝟬𝟬
Коефіцієнт 𝟮х
Кількість очок 𝟮𝟬,𝟬𝟬𝟬


Внесок - Досяг згадки в ЗМІ
Оцінка внеску - еквівалент $𝟱,𝟬𝟬𝟬
Коефіцієнт - 𝟮х
Кількість очок - 𝟭𝟬,𝟬𝟬𝟬

📌 Загальний пиріг: 𝟮𝟭𝟬,𝟬𝟬𝟬 очок

📌 Розподіл часток:

- 𝗔𝗹𝗲𝘅 = 120,000 / 210,000 = 𝟱𝟳%

- 𝗕𝗼𝗿𝗶𝘀 = 90,000 / 210,000 = 𝟰𝟯%

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𝗦𝗹𝗶𝗰𝗶𝗻𝗴 𝗣𝗶𝗲 пропонує круту систему, але успіх залежить від того  наскільки партнери готові

🔺 чесно враховувати вклади
🔺 домовитися на старті
🔺 вести облік вкладів
🔺 періодично переглядати коефіцієнти.


Dave Ulrich: The Market Oriented Ecosystem

 


This is my second post reviewing and providing my insights on Arthur Yeung and Dave Ulrich’s new book, Reinventing the Organization.

My last post on this suggested that Dave’s new organisational logic means that we need to think about what happens outside of an organisation before we look at its internal arrangements.

However, for me, my logic from The Social Organization (TSO) still applies, ie we need to understand the capabilities an ecosystem will provide and the principles it uses in doing this in order to identify the most optimal organisational solution for a particular environmental context.

For Dave and Arthur, the key thing about the external environment is that it is uncertain and fast changing - or superdynamic. This means organisations need to be more market oriented, and they suggest the key ecosystem capabilities an ecosystem needs to provide are information, customer, innovation and agility.


Josh Bersin - network of teams

They also suggests some ecosystem principles (which provide a basis for an ecosystem’s common shared values / style) to respond to the new environment:

  • Establish a consistent set of priorities
  • Create the future by anticipating what the market will be
  • Win through a focus on growth
  • Stay a step ahead of the market by anticipating targeted and future customers
  • Effectively use different options to execute a growth pathway: buy, build or borrow
  • Seek and inspire agile employees
  • Use scorecards and data to drive a growth mindset
  • Always reinvent strategy because strategy is never finished.

In this environment, and with these capabilities and principles, they suggests the best organisational solution for any company is a Market Oriented Ecosystem (MOE).


The book reviews seven main case studies of this organisational form - Amazon, Facebook and Google in Silicon Valley and their digital cousins - Alibaba, DiDi, Huawei and Tencent  in China (as well as Supercell in Finland, which is a bit of an outlier, organisationally as well as geographically, as explained below).

The MOE is first of all, an ecosystem (generally defined to mean a network which extends beyond an individual firm). Given the logic reviewed above, a MOE is deliberately designed to involve external allies - partners providing staff, skills, structures and systems and stakes in the ecosystem.

Niels Pflaeging - value creation structure

But the MOE resembles an ecosystem within the orchestrating organisation too, with autonomous teams (cells) working alongside each other through a network rather than as a result of hierarchical coordination. Amazon’s single threaded teams is a great example. And I think this logic works - if an organisation is cellular internally, it also makes it easy to work with cells which are outside. It also provides the customer focus required by the MOE (see TSO on horizontal teams).

The other distinguishing feature of the MOE is that this uses a digital platform to support the operating network. As I noted in TSO, it’s quite hard to scale a network without a common platform, so this makes good sense too. It also provides most of the required information and agility, and together with the cells, innovation. The use of a platform makes the MOE a highly centralised ecosystem though. (Work is done autonomously within the cells, but the leadership of the ecosystem is centralised under the platform owning part of the MOE.)

Note, however, that I don’t think Dave and Arthur are referring to what I would call a platform based organisation where a digital platform enables autonomous groups to work together without hierarchical management or other forms of co-ordination. (I think the best example of a platform based organisation is Haier who also presented at the Drucker Forum last year. If you’ve not seen it, then Gary Hamel has provided a great case study of this company / platform / ecosystem in HBR recently. I particularly like this example because Haier’s platform treats internal and external micro enterprises in just about the same way, so it’s much more similar to a biological ecosystem than a MOE.)


Dave Gray - podular organisation

Instead of this, MOEs just use platforms to support the network (rather than the network being constructed on the platform). For example, Facebook’s internal use of Workplace is included as an example. Workplace as a product is a digital platform as it provides apps through the system, and it’s also an organisational platform as it enables cell based and multi-company networking, but it’s not a platform based organisation platform (!).


My favourite case study is Tencent as I think this makes Dave and Arthur’s ideas about platforms very clear. “Tencent shares its expertise and resources in technology, legal affairs, government affairs, and talent and organisation management with its strategic partners. For instance, Tencent offers technological and service infrastucture through Tencent Cloud…” In addition, Arthur's in-house consulting team “offers consulting, training, and coaching support to help key strategic partners upgrade their leadership, key talent, and organisational capabilities”.

Therefore, although the platform fits mainly within the structure element of an organisational systems model, there can also be an aspect which is more about the style that people work in, within and across their organisations, too.

Of course, none of this that new. That's not a criticism of the idea or the book, in fact it reinforces the suggestion that this is happening, and it is important.


Michael Arena - adaptive space

However, if you've not come across some of these examples of platform enabled organisation, then firstly, it already exists in Dave and Arthur’s case study organisations, even if this is largely limited to two main geographies.

But it’s also not that new in terms of the ideas being articulated as an organisation form. Eg the book's platform enabled organisations are similar to the following models which I have illustrated throughout this post:

  • Josh Bersin's network of teams (though this doesn't demand a platform)
    • Niels Pflaeging's value creation structure (with the informal network formalised through the platform)
    • Dave Gray's podular organisation (with a more formalised version of the technological part of his backbone making up for a less significant cultural aspect) 
    • Michael Arena's entrepreneurial teams and communities (once again, with the adaptive space network formalised through the platform)
    • McKinsey's agile organisation
    • BCG's dynamic platform structure
    • My own melded network organisation, from TSO.

    In TSO, I focus internally within organisations so I only touch on external ecosystems. (I also don’t put much focus on internal platforms as I wanted to write about organisational management rather than the use of market mechanisms. In fact, for me, this is the best thing about Dave’s book - it’s packed full of case study evidence about platform enabled organisations and closely linked organisation forms.)


    McKinsey - agile organisation

    I agree, and do state, that internal and external are becoming more blurred. But for me, the best thing for most organisations to do is sort out their internal organisation - before they grapple with the additional complexity outside. These organisations can still create internal networks of teams, and use internal platforms.
     

    In fact, although Dave’s organisational logic suggests we need to look externally, beyond a single organisation, before we look internally, most of the book’s examples focus on their internal networks of teams, not the way their ecosystem involve allies from outside the organisation.

    In particular, the book’s other main case study, Supercell in Helsinki, is a great example of a network of teams approach. However, this company doesn’t really do much externally. Yes, it has partners with shared resources, as most organisations do these days, but I don’t see any evidence of an external ecosystem. And the company’s website provides interesting points about its team focus but says nothing to suggest it followed Dave’s new organisational logic in developing this.

    Dave also suggests Amazon first created its capabilities within the organisation and only later magnified this throughout its ecosystem.

    BCG - dynamic platform structure

    Dave’s case studies also demonstrate that the model is fairly flexible in the way it is applied and suggests that it can be extended to other, non digital sectors, including retail, manufacturing, healthcare, finance, consulting and other professional services. For example, Walgreens / WBA’s stores and organisational management systems are seen as MOE cells and platform too. Now I’ve worked with Boots here, which is a great company, but not what I would understand as an ecosystem or even less so, a platform enabled organisation. But then if the model is going to potentially extend to any organisation I think you do need to interpret it quite loosely.

    My insights from this are:

    • I do think it will be useful to look externally at potential parters and the opportunities for creating an ecosystem before focusing on internal organisation design (see TSO for how to do this internal piece). I’m fully persuaded of this evolution in organisational thinking.
    • This won’t always result in creating a MOE or even an external ecosystem and that is fine.
    • Regardless of this, creating an internal network of teams is an increasingly good idea. It provides many of the benefits of an MOE with less bother, and provides a great basis to extend externally later on as well (and one again, see TSO for how to create this internal network of teams, or other melded network options).



    Jon Ingham - melded network organisation


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    The Yin and Yang of High-Performance Marketing

     


    Marketing success in 2025 and beyond will depend on marketers' ability to leverage the capabilities of technology and data science and to effectively apply the principles of behavioral science that describe how people make decisions. These two distinct, but complementary, abilities now constitute the yin and yang of high-performance marketing. 

    Yin and yang are the terms used in Chinese philosophy to describe a pair of forces or attributes that appear to be opposites, but in fact are complementary and interdependent. The basic idea is that both yin and yang are necessary to create wholeness.

    Management thought leaders have applied the yin-yang concept to a variety of situations where business leaders need to pursue objectives that, at first glance, seem to be contradictory.

    For example, should business leaders try to develop game-changing business strategies, or should they strive for operational excellence? Should they focus on maximizing short-term profits, or invest in capabilities that promise to create long-term value? In both cases, the greatest success can be achieved by refusing to choose between the alternatives and instead pursue both objectives simultaneously.

    In their 1994 best-seller, Built to Last, Jim Collins and Jerry Porras argued that the most successful companies refuse to be constrained by the "Tyranny of the OR" and instead embrace the "Genius of the AND." Instead of choosing between A or B, these companies find a way to have both A and B.

    The yin-yang concept can also be applied to several issues in marketing. For example, a yin-yang approach would have B2B marketers focus on building a strong brand and on running effective demand generation marketing programs. On both customer retention and new customer acquisition.

    Today, the most compelling case for yin-yang in marketing is the need for marketers to be adept at using the capabilities of technology and data science and to excel at applying the principles of behavioral science that relate to human decision making.

    The Yin - Technology and Data Science

    It's been crystal clear for several years that marketing and technology have become deeply entwined and that the role of technology in marketing has been growing at an exponential rate. 

    The inaugural (2011) version of Scott Brinker's marketing technology landscape graphic contained about 150 solution providers. The 2022 version of the graphic included nearly 10,000 technology solutions. So, the marketing technology universe has grown by an astounding 6,521% since 2011.

    Data science has also become an integral aspect of marketing at many companies. In the September 2022 edition of The CMO Survey, respondents reported spending 8.9% (mean) of their marketing budget on analytics, a decade-long  all-time high. And respondents predicted that spending on marketing analytics will grow by 63% in three years.

    The growing use of artificial intelligence will only deepen the connection between marketing and technology/data science. In surveys conducted last year by McKinsey, 50% of the respondents said their organizations have adopted AI in at least one business function, up from 20% in 2017. And of the ten most commonly adopted AI use cases identified by survey respondents, three were marketing and sales use cases.

    There's no doubt that technology and data science have greatly enhanced the practice of marketing. In fact, some marketing thought leaders envision a not-too-distant future where computer algorithms direct many aspects of marketing without human intervention.

    But it's important for marketers to remember that technology and data science alone aren't sufficient to consistently produce superior marketing results. To achieve consistent success, marketers must also leverage the psychological aspects of human decision making. Technology and data science are the yin of high-performance marketing, but the yang is grounded in the principles of behavioral science.

    The Yang - Behavioral Science

    For decades, economists assumed that humans make economic and business decisions rationally. According to standard economic theory, they weigh the economic costs and benefits of their decisions, and they usually act to maximize their economic self interest.

    It's now clear that human decision making is actually a mix of rational and non-rational components. The recognition of this fact began to emerge in the 1950's when behavioral scientists started challenging the concept of human rationality. In the late 1970's, psychologists Daniel Kahneman (who later won the Nobel Prize for economics) and Amos Tversky published several scientific papers that contradicted the rational view of human nature.

    The work of Kahneman and Tversky pioneered a new behavioral science discipline that later came to be called behavioral economics. In 2008, two books - Predictably Irrational by Dan Ariely and Nudge by Richard Thaler and Cass Sunstein - raised popular awareness of behavioral economics and put it on the radar screens of business and marketing leaders.

    In reality, marketers have been using principles of behavioral economics for years, albeit largely unwittingly. A 2010 article in McKinsey Quarterly put it this way:  "Long before behavioral economics had a name, marketers were using it. 'Three for the price of two' offers and extended-payment layaway plans became widespread because they worked - not because marketers had run scientific studies . . ."

    The key point here is that the influence of psychological factors on buying decisions is now widely recognized, so principles of the behavioral sciences play a vital role in effective marketing. Behavioral science principles are also a necessary component of high-performance marketing because, for all of the power and sophistication of technology and data science, they have some important "blind spots."

    One significant limitation is that technology and data science rely almost exclusively on behavioral data - the digital footprints we leave behind as we use digital devices and channels to consume and exchange information. 

    The issue with behavioral data is they they tell us what someone has done (and often when and where he or she did it), but they don't tell us why someone took a particular action or behaved in a particular way. In most cases, behavioral data reveal little about customer attitudes and motivations, and these factors exert a huge influence on buying decisions.

    The Bottom Line

    Technology/data science and behavioral science are the essential yin and yang of high-performance marketing, and leveraging both will be critical to marketing success in 2023 and beyond. Therefore, I'll be devoting several posts this year to specific aspects of these important topics.

    Illustration courtesy of DonkeyHotey via Flickr (CC)


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