10 types of Innovation

Innovation is defined by Oxford English Dictionary as “make a change in something established“ or “introduction of something new”, such as a method, idea or device. A similar but a more sophisticated definition is presented by Abernathy and Clark (1985), who illustrate it as:

”an innovation is the initial market introduction of a new product or process whose design departs radically from past practice. It is derived from advances in science, and its introduction makes existing knowledge in that application obsolete. It creates new markets, supports freshly articulated user needs in the new functions it offers, and in practice demands new channels of distribution and aftermarket support. In its wake it leaves obsolete firms, practices, and factors of production, while creating a new industry”.

Thus, this view clearly focuses on entering new unexplored domains and markets.

The Periodical system for Innovation

Keeley et al. (2013, here is the link to the book. I highly recommend if for anybody that is working with innovation) introduces an innovation framework, which is inspired by the periodical system from chemistry, that consists of three different main segments: configuration, offering, and experience. The first segment, the configuration aspect, focuses on the innermost workings of an enterprise and its business system. The second segment, the “offering category”, concerns with the core products and services of an enterprise, or a collection of these. Finally, the experience category focuses on the elements that the customers face in the regards to the enterprise and its business system.

 

All these three segments are also horizontally ordered as from left to right, according to its internal to its external impact and influences of the enterprise. In addition, the whole framework constitutes of further ten category types, which is grouped into the aforementioned three main segments (Figure 1).
The first type in the configuration segment is the “profit model”, which essentially involves how to convert “firm’s offerings and other sources of value into cash”. Hence fore, the focus in on having a deep understanding of what the customers cherish and aspire, in order to discover new revenue and pricing opportunities. It should be noted and clarified that a profit model differs significantly from a business model, mainly because a profit model only concerns with catching value and is not involved in the value creation process.

 
The second innovation type is “network”, which represents the opportunities that lies in both leveraging on one’s core competences and harnessing other firm’s strengths and assets to one’s advantage. This innovation type is thus closely associated with various co-creation and business ecology concepts, which will increase in an ever more connected global environment.

 
The third innovation type is “structure”, which focuses on how the company’s assets are organised in order to generate value. In other words, these innovations encompass the alignment and nature of company capabilities and assets, so that the configuration and management of these are structured and leveraged in the best possible manner.
The process unit refers to the primary activities and operations that are associated with producing the offerings of a company. Innovating in this division requires fundamental changes from “business as usual”, although the outcome, that is the offering, remains the same and unchanged.

 
The first innovation type in the offering segment is “product performance” which addresses the “value, features and quality of a company’s offering”. Often the traditional understanding of innovation is associated with this type, a goods-dominant logic perspective on innovation. The thumb of rule states that these innovations most often are easily copied by industry competitors, or reverse engineered, and therefore provide with only a temporary advantage.

 
The “product system” division refers to the bundling and connecting effects between products and services. The foundation for fostering these effects lies in interoperability, modularity and integration between otherwise distinct and separate offerings. Therefore, product systems are the blueprints for building valuable and protected and differentiated product offering entities, that strives for establishing ecosystem-like synergies within the company’s reach and boundary.

 
The first innovation type in the experience category is “service”. This division refers to the innovations that “ensure and enhance the utility, performance, and apparent value of an offering”. Thus, services function as a supporting element that improves the customer journey and reveals new overlooked value capabilities for the users.

 

innovationtype1
Figure 1. Illustration of the innovation type framework with the three segments distinguished in different colours. The innovation types are ordered from left to right, according to its internal to its external impact and influences of the enterprise (from Keeley et al., 2013).

The channel division involves all the conceptual innovations associated with connecting the value offerings with the customers and users of a company. In short, channel innovations are various new infrastructure solution concepts that conveys the final products or services to the end users.

 
The “brand” innovations helps the customers to remember, recognize and prefer the offerings of a company over other similar substitutes. The goal is to seduce and attract the customer with a conveyed promise that will make the offerings distinctive and unique. By doing this the offerings gain an immaterial advantage over its competitors that gives rise to new exploitable value dimensions.

 
The “customer engagement” is the final innovation type, and strives for designing and implementing a deep relationship between the enterprise and its users that symbolises meaningfulness and endeavours aspirations beyond the original commercial incitements. This means that the paradigm encompasses and stimulates an emotional dimension to the offerings of a firm, which give rise to a symbiosis effect between the company and its users.

 

Periodical tables might change…

It is clear that the 10 types of innovation is a pragmatic model for classifying different innovations. However, innovations are obviously not as straightforward as the model suggests. The chategories may develop over time or new ones might be introduced etc., just like new elements are found and added into the periodical table, when new scientific breakthroughs are made . But the great value in this model is that it will help you seeing things from a different perspective. That in itself is a innovation! 

/Drill

Seven Laws of Information – A Foundation for “Digital Wisdom”

186721518Information is increasingly being perceived as a valuable asset in today’s modern society, de facto that in some occurrences information is by far the most valuable asset of a business and its activities. This tendency is refered often with the quote: “data is the new oil”.

What is problematic about Information is that it has an intangible character embedded to it, which makes it very hard to evaluate its real actual nominal value. Moody and Walsh (1999) recognizes this issue and introduces seven laws or postulates associated with the natures of information in order to understand its underlying value and how information differs from regular assets. I believe that by understanding the very nature of information (combined with the DIKW – hierarchy, which was my second blog post), one is able to become more wise, but also able to obtain a new form and dimension of  wisdom, which I would like to call it “digital-wisdom”.

1. Infinitely shareable

The first law states that information is infinitely shareable. Essentially this means that information has the unique ability of being shared among numerous parties, “without consequent loss of value to each party” (Moody & Walsh, 1999). The fact that information can be unlimitedly replicated and shared, with no real additional costs, makes it possible for many parties to use it at the same time. However, the duplication of information does not mean an increase of financial value of the information set (Uckelmann et. al., 2011). In contrast, information is very different from regular assets because assets are appropriable, i.e. you either have it or you do not (Moody & Walsh).

2. The value increases with use

The second law is that the value of information increases with use. This is intriguing because usually resources deprecate with use. In spite of this statement, it is important to point out that information does not provide any value if it is not used at all (Uckelmann et. al., 2011). Thus Moody and Walsh (1999) concludes that information in itself “has no real value on its own” and is in it unused form seen rather as a liability.

3. Perishability

The third law indicates that information is perishable. In practice this means that information depreciates over time and can thus be compared to any other asset (Moody & Walsh, 1999). The useful lifetime of information is therefore often relatively short, though it can be extended to a certain point when used for decision-making (Moody & Walsh, 1999).

4. Accuracy

The fourth law postulates that the value of information increases with accuracy. It is apparent that the more accurate information, the more valuable it beholds. However, 100 percent accuracy is rarely required in a business context, while a 100 percent accuracy is a must in some cases, such as maintenance or data banking records (Uckelmann et.al., 2011). In regards of decision-making, the level of “accuracy of information is as important as having accurate information”, because the margins for errors can be incorporated into the context (Haebich, 1997). For this reason, the view extends itself to the fifth law.

5. Synergies of combined pieces of information

The fifth law establishes that the value of information increases when combined with other information. Practically this states that integration or comparison of information generates new additional value. Therefore, it is evident that even a slight standardization of this information integration process will accumulate with high benefits. The inclusion of both identifiers and coding schemes are facilitating computing tools for achieving these benefits (Uckelmann et.al., 2011). Often the integration process is a great hurdle for many organisations, thus it is suggested that the focus ought to be aligned with the pareto principle, or the 80/20 rule, where the idea is that most of output is generated from the 20 percent effort or input (Moody & Walsh, 1999).

6. The more, ain’t better

The sixth law states that more information is not necessary better. Nevertheless, increasing amounts of information do result in more value to a certain extent, however crossing the information overload point causes significant problems and issues (Uckelmann et.al, 2011). Moody and Walsh (1999) points out an interesting empirical paradox related to information and decision-making, which is that the perceived value of information continue to increase even after the information overload point has been reached. The reason for this delusion is most likely related to the misconception that more information helps to avoid mistakes and reduces the uncertainty involved (Moody & Walsh, 1999).

7. Not depletable

The seventh and last law appoints that information is not depletable. At heart this refers to the fact that information is self-generating – the more one use it, the more one obtains of it (Uckelmann et.al, 2011). This differs greatly from traditional assets and resources, who cease to exist the more it is used (Moody & Walsh, 1999).

Summary

By understanding the very nature of information, it is evident that it is a very misunderstood and poorly managed asset, especially in terms of duplication; lack of standardisation; and lack of attention to its quality (Moody & Walsh, 1999). If other assets were managed in a similar manner as information (e.g. financials or people) then firms would most likely go out of business. Therefore, in order to manage information properly, one needs to understand its many unique features and facets (Alberts et.al, 2001).

The “digital wisdom”, as a concept, is in its very early stages and needs to be futher clarified. For now it will answer to the simple question: “know-why?“, when associated with digital and other heavily data oriented technologies. And evidently, the seven laws of information helps to clarify this matter to some extent, though there is still a long way to go. Finally, my future belief is that new regulations, such as GDPR, will empahsize the importance of “digital wisdoms” for both consumers and firms. This because “digital wisdom” also comprises both ethics and foresight within the context of digital data, which clearly is needed in the future.

/Drill

References:

Alberts, D.S., Garstka, J.J., Hayes, R.E. and Signori, D.A., 2001. Understanding infor mation age warfare. ASSISTANT SECRETARY OF DEFENSE C3I/COMMAND CONTROL RESEARCH PROGRAM  WASHINGTON DC, pp. 9-17.

Moody, D.L. and Walsh, P., 1999. Measuring the Value of Information – An Asset Valuation Approach. ECIS (pp. 496-512).

Uckelmann, D., Harrison, M. and Michahelles, F., 2011. An architectural approach towards the future internet of things (pp. 260-263). Springer Berlin Heidelberg.