workshop 3

26

Click here to load reader

Upload: victorioussecret

Post on 08-May-2015

553 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Workshop 3

1. Much of the diffusion literature directly references or can be traced back to general principles articulated, originated and developed, by Everett M. Rogers. Begin by looking at the background synthesis for an overview Rogers’ diffusion of innovations and then read the following:

1.1 What forces determine how quickly and when innovations / technologies diffuse?

The key to distinguishing some of the forces determining the diffusion of innovations/technologies lies in the definition of the term diffusion. In his complex behemoth of a book ‘Diffusion of Innovations’, Rogers offers this definition: “Diffusion is the process by which an innovation is communicated through certain channels over time among the members of a social system” (Rogers, 1962). From here spring the four main elements that, together, lead to diffusion: an innovation, communication channels, time and social systems.

Image 1: Overview of the four main elements of diffusion

Innovation can be anything from and idea to a practice to an object and its rate of adoption is determined by five attributes:

1. Relative advantages which deal mostly with financial payback;2. Compatibility which is determined by how much in alignment the innovation and

the individual’s existing values;3. Complexity concerns the level of difficulty the innovation poses to the user;4. Trialability means that an innovation is tested and represents less uncertainty to

potential adopters, allowing them to learn by doing;5. Observation, which means the result of an innovation is visible to others;

Diffusion

Innovation

Social systems Communication channels

Time

Page 2: Workshop 3

“In general, innovations that are perceived by receivers as having greater relative advantages, compatibility, trialability, observations and less complexity will be adopted more rapidly than other innovations” (Rogers, 1962)

Communication channels involve an informed party connecting with an unknowledgeable one and, through creating a connection, there is a transfer of knowledge.

These channels are divided into two parts, the mass media channel, which is most useful in the beginning stage, and the individual channel, which more persuasive for it involves word of mouth as a key factor in accelerating the adoption of innovation through persuasion. More so, word of mouth is seen as more important than media coverage as it involves the building of trust.

The time element encompasses the innovation-decision process, the term “innovativeness” and the adopter categories.

Image 2: Visualization of Rogers’ (1962) innovation-decision process.

Innovativeness, or someone’s propensity to adopt an innovation, is found, in varying degrees, throughout the 5 “adopter categories” identified by Rogers (1962). It is high in innovators and early adopters and declines steadily from early majority to late majority to laggards.

Lastly, the social systems which embody the norms and structures that govern us and which, to some degree, assist or impede the diffusion of innovation.

1. KnowledgeIndividual gains first

knowledge of the innovation.

2. PersuasionIndividual begins to form an

opinion towards it.

3. DecisionTwo posibilities: adopt or reject

innovation.

4. Implementation of the new idea.

5. Confirmation of the decision.

Page 3: Workshop 3

On a more general level, we must state that diffusion comes about at different rates in different countries, marking geographic proximity to the innovation as an important factor in its possible diffusion because innovations are not appear everywhere at the same time. As Brown (1981) states “Some groups of people and some places have immediate access to the innovation, some gain access later and some never do.” This can also be linked to economic and cultural (compatibility) factors, which also vary greatly from country to country and may favor diffusion in wealthy, progressive ones.

Lastly, and most importantly, the diffusion of innovation has human behavior and trust at its core. Though a large group of people can be influenced by their economic, social, locational or demographic characteristics, humans are by nature sociable creatures who value trust and human interaction above most things. Trust can be seen as an incredible catalyzer to the diffusion of innovation because consumers “[…] buy products not only for what they can do, but also for what they mean” (Levy, 1959) both to them as well as to the person recommending it.

More so, building trust with their current and possible customers is also an option for companies/innovators, which will greatly help in the diffusion of their offering as good press means a good reputation, which leads to appreciation and word of mouth.

1.2 Rogers says that the existence or knowledge of a technology does not guarantee its absorption. What barriers prevent the diffusion of innovation?

In his ‘Diffusion of Innovation Theory’ Rogers (1995) identifies five characteristics of an innovation that must be considered when examining its absorption. We looked at the potential barriers to diffusion within these five stages.

Relative Advantage - If the innovation is perceived as having superior attributes than its competitors it said to have strong or high relative advantage (Bessant & Tidd, 2011). The lower the perceived advantage of the product, the slower the rate of adoption (if it ever adopts). When talking about the attributes of an innovation it is useful to distinguish between primary and secondary attributes. The primary attribute is the cost and size, which remains for the most part constant. The secondary attribute is the relative advantage and compatibility, which will vary from person to person, culture to culture (Karahana et al, 2000). In most cases an “attribute gap” exists, this gap is the discrepancy between a user’s perception of the attributes and what they would like that attribute to be. The greater the gaps are, the bigger the barriers to adoption. For example, if it is cheaper to make/buy, does the job better, or has new, desirable functions, is easier to use, or is safe and reliable, the more likely it Is to be absorbed and vice -versa.

Compatibility - People are at the heart of whether an innovation is absorbed or not. If an innovation is perceived to be inconsistent with existing social norms, cultural (religious)

Page 4: Workshop 3

values, and experiences, it is much less likely to diffuse (Barton, Sinha, 1993). Suggesting that an innovation, which isn’t adaptable, isn’t very likely to be absorbed. Rogers (2003) says this is when a company is too innovation orientated rather than client orientated (e.g. trying to sell packaged Ice to an eskimo). The extent to which an innovation fits the existing skills, equipment, procedures, and performance of the adopter is also critical. If the innovation is misaligned in those early stages to an organization’s existing practices, it could be fatal to the diffusion of that innovation, as the early adopters will not make contact with early majority (Rogers, 1995). On an individual level, the main barrier to diffusion is resistance, more so, “resistance levels differ from one individual to another” (Brown, 1981). Resistance is the complete opposite of innovativeness, high in laggards and declining steadily up to the innovators, which show little to no trace of it.

Complexity - Other functional barriers include complexity, the more an innovation is seen as being too difficult to learn by the potential adopter, the less likely it will be adopted. However resistance from the adopter isn’t always a conscious process. Often we get into the habit of doing the same thing over and over, building routines over long periods of time, which leads to natural resistance to current innovations. Sheth (1981) terms this “the single most powerful determinant in generating resistance” and notes that “perceptual and cognitive mechanisms are likely to be tuned in to preserve the habit because the typical human tendency is to strive for consistency and status quo rather than to continuously search for, and embrace new behaviours”.

Trialability - This is to the degree, which an innovation can be tested before its permanent adoption. By giving people the option to trial the innovation, lowers the perceived risk and uncertainty in the potential adopters mind. Innovations that do not have this option generally take longer to diffuse than those that do (Bessant & Tidd, 2011).

Observability - This is concerned with how visible the benefits of the innovation are to the potential adopters. The less visible the benefits of an innovation are, the less likely it will be absorbed. The main premise behind the simple epidemic model of diffusion is that innovation spreads as potential adopters make contact with existing users of an innovation.

Page 5: Workshop 3

Image 3: The Model of Diffusion

Interestingly a study by Fattini (2008) suggested that this was the most powerful indicator of diffusion. If you can gain the positive acceptance of early adopters, then target the main market through their positive word of mouth and networks then your innovation is much more likely to be absorbed. If the innovation is misaligned in this early stage, its diffusion may stagnate as the early adopters are not coming into contact with the potential adopters.

Wolpert (2002) has conducted a lot of research into the adoption of innovation within organizations. He suggests that many organizations are internally focused and as such seek to source most of their ideas and innovations from their own employees.

Image 4: “A Cartoon” by Mr. Fish posted in Harper’s Magazine (August 2005)

Page 6: Workshop 3

The consequence of this method is usually small incremental innovations and dissatisfied Executives who were expecting radical new ideas and implementations of technology, which would vastly improve the company’s productivity and accounts. However always drawing from the same resource is going to give you stale results.

Wolpert goes on to say that when the economy is tough, these unimpressed executives tend to severely reduce or cut off funding for innovative research, and focus more on short-term defensive business strategies, putting their money into other departments. A claim which has found recent support from a study by Nesta that examined 1,200 UK businesses where:

- Innovation investment fell by 7 per cent, or £7.4bn, between 2008 and 2009. - A further fall of 14 per cent, or £17bn, from 2009 to 2011

Image 5: Effects of recession in innovation investment

Getting the funding for innovations will often mean taking money away from an established program. Since most companies work on annual funding cycles, they are unable to grasp an innovation when the opportunity arises. Therefore timing can also be a barrier, in fact a study by Hadjimanolis (1997) found that 500 companies rated time, as the biggest internal barrier to innovation.

Wolpert argues that in a lot of cases, in order for technological innovations to transfer or diffuse effectively between organizations they need to collaborate on ideas and look

Page 7: Workshop 3

beyond themselves to other sectors. The best example we could think of was Edward De Bono’s (1976) famous true story explaining lateral thinking. A group of physiologists were stumped on the purpose of the kidney tubules, years went by and they were still no wiser for determining their use. Eventually they discussed their problem with an engineer and allowed him to look at the tubules. He instantly recognized them as being a counter-current multiplier, a common engineering device for changing the concentration of solutions. It is this outside perspective that Wolpert believes to be of great importance for the adoption of new innovations within a firm. When communication between companies and different sectors breaks down, barriers to innovation start to build up. Rogers (2003) argues that is because no new information can be exchanged.

Mantel and Rosegger (1987) take this one step further. They identified that by looking to third parties to help package or tailor a technology to your firm, to locate suppliers to make components for your technology, inspire confidence through success stories, and to help secure deals between firms can be of massive consequence for the diffusion of technological innovation within organizations. Without it, tasks often seem too overwhelming, time consuming, and by not sharing information and sourcing third party help you may not have the necessary skills available to fully adopt the innovation into your company.

1.3 What does Gladwell mean by ‘the tipping point’ and can it be used to explain the diffusion of innovation?

In his introduction, Gladwell (2000) defines ‘the tipping point’ as “the name given to that one dramatic moment in an epidemic when everything can change all at once” (Gladwell, 2000). In his opinion, epidemics should be applied to all fields, not just the medical. Everything from ideas to products to behaviours can and have spread like viruses.In his introduction, the author emphasizes three main notions with which the reader must fully accept so as to understand the logic behind ‘the tipping point’; firstly, that, due to the nature of epidemics and viruses, people can infect others, which means their behavior is contagious. Secondly, like the butterfly effect, little, seemingly unimportant changes can have dramatic effects and, lastly, that this entire process happens incredibly fast. For this tipping point to be reached, the idea/object/etc… needs to be “widely disseminated, "sticky" enough to be retained by each new recipient [and] operating in a context that nurtures it” (Cattey, 2005). More so, the number of people needed to spread such an epidemic is quite low, however, there are three particular roles that must exist:

Page 8: Workshop 3

Image 6: The three relevant roles in creating epidemics as specified by Gladwell (2000)

Concerning the second part of the question, if the tipping point can explain the diffusion of innovation, we cannot readily acknowledge or deny the effect it would have on the process as it is not a stable recipe; in his own introduction, Gladwell used the example of Hush Puppies which showed the brand flourish after hitting rock-bottom but its rise back to popularity wasn’t due to strategy, it was due to a small number of kids who wore the shoes because nobody else was and it escalated and grew in proportion from there.

Should we choose to use the idea behind ‘The Tipping Point’ to speed up diffusion, then we must also take “the potential impact of technologies still under development [under consideration] as we develop strategies to speed the diffusion of beneficial innovations” (Coye, 2003). Both potentially beneficial and disruptive innovation should be prepared for before attempting to speed up the diffusion of any innovation. Gladwell’s (2000) idea offers great importance to the act of word of mouth, which can be helped along, but not staged as reaching every individual is nay impossible.

However, we feel that, if filled correctly, the three roles (connector, maven, salesman) could very well help the diffusion process along. This is not by far an exact science though, as epidemics are unstructured, almost chaotic and usually unpredictable, so we consider ‘the tipping point’ more of a last resort when all else fails rather than the integral missing part to Rogers’ theory.

A Connector

A Maven

A Salesman

an individual who knows a large number of people

an individual who manages to condense the innovation down to its simplest, most relevant version (giving it a new appeal)

an individual who can convince others to take in the new version

Page 9: Workshop 3

2. Within your groups, please do the following and prepare to present your findings to another group in workshop. This needs to be completed by the entire group so that you compare findings within the group;

2.1 Identify a product or service which is either being diffused or has been diffused and plot this across Roger’s adopter categories.

Smart Phones.Smartphones are mobile phones built on mobile operating systems; these systems have a much more advanced computing capability than a regular feature phone. The first smartphones combined the functions of a personal digital assistant (PDA) with a mobile phone. Later, functions such as the Internet, multimedia and various software applications were also added. In the UK, 27% of adults and 47% of teenagers are using smartphones, interestingly 59% of those have only begun using them in past year (Ofcom, 2011)

The Iphone is one of the most popular contemporary smartphones. One of it’s most interesting qualities when it entered the market was its touch screen capability, most notably how responsive it was compared to it’s competitors.Another feature which really helped propel it’s diffusion was it’s ability to both write and download software for reasonable prices. The user interface of the Iphone is a variant of the same system core used in Mac OS X, which is used in Macintosh comptuers. Below is the diffusion of the iPhone plotted along Roger’s model of diffusion.

Image 7. The iPhones diffusion along Rogers (1995) Diffusion Model.

1) The iPhone gets released on June 29, 2007 (Macworld 2007) and received a lot of publicity from the press, it was also named Invention of year in 2007 (Time, 2007). All helping (along with the companies brand strength) to propel the iPhone into the early adopters.

Page 10: Workshop 3

2) Apple had interesting strategy for speeding up diffusion. It made agreements of country levels with operators for iPhone to be sold only with tying deals, excluding the operators competition from selling iPhones.

3) Lowers the price and increases usability through fixing bugs and increasing the responsibility of the touchscreen.

4) After a couple of years, iPhone released to other operators, increasing their exposure.

5) Apple focuses on simplicity, applications (Siri, Whatsapp) available to assist the elderly, and those not familiar with smartphones with functions such as emailing and texting - pushing the iphone into the late adopters.

2.2 How have people (individuals or society as a whole) been important to this product or service along the diffusion process?

People are at the heart of the absorption and diffusion of innovation. The iPhone is now part of mainstream culture and society has played a significant role in getting it there. The iPhone is a highly conspicuous product and as such it is expected that consumers will influence their networks in the adoption of such a handset. A study back in 2007 on the iPhones early release showed that 42% of iPhone users communicated with another iPhone user, which echoes the social nature of technology (Choi, 2010)

The user friendly Operating system for the phone, keeping things simple , customer service and in-store experience were the key points for Apple from the customer's point of view for its success. It’s ease of use meant that the early adopters/majority could easily promote apple’s functions to those who were not “tech savvy”. Similarly some iPhone functions (iMesenger) only work iPhone to iPhone so in order to get the most out of the product the adopter has an invested interested in promoting the iPhone to their networks.

2.3. Think about some of the innovations that you have adopted – which category would you put yourself in and are you always in the same category?

Smart Phones.

Ivy - In terms of smart phone, I categorize myself as being laggard in this sort of innovation. The pace of smart phone technology is quite fast, and this kind of innovation gives us some very handy and convenient applications. However, there still have some barriers for me. The cost of smart phone is quite high and the operations are a bit complicated, which sometimes are hard to setup it for a normal person. Some function on smart phone overlap with another kind of 3C products, such as laptop and i-pad. Therefore, I tend to change my mobile phone when the product become the dominant trend in the society in case I become old-fashioned. With regards to technology I am almost always in the laggard stage, as adoption for me largely depends on price.

Page 11: Workshop 3

Simon – I was definitely an early majority as I’m far too much of a skeptic of new technology to be an early adopter. The main reason I picked it up sooner rather than later was because my girlfriend lived in America so it’s internet based applications (skype, whatsapp etc) really sold the device to me. Otherwise I might have been a late majority. For the most part I’m a late majority as I like a finished product rather than a work in progress, but if something really impresses, I’ll get it early.

Emma - I brought the iPhone soon after it’s initial release in China, mostly because I really like listening music. It’s design (including operation) is really simple, meanwhile it was an affordable price. But I do not always follow the trends. I would class myself as an early majority when it comes to technology, but for other things I might be a late majority.

Shannie - I think the smart phone is an excellent technological innovation, because I see the way it changes people’s life. Nowadays, people always rely on it to communicate others and search many things. For example, we could chat or send texts to friends as well as find the route of destination. In terms of the fast change in high-technology marketing, companies create smart phone frequently and separate different levels of price or function to consumers. It makes the phones so much more convenient, having many functions in one place. I will put myself in category of late majority, because I usually am afraid of trying the newest production unless other people have users it. However, sometimes I might become an early majority since I prefer to get opinions from other users, and I will curious about the popular and new one which discuss the most, then I might buy it, such as iPhone.

Jay – In India the Smartphone penetration and its users are significantly less as compared to Singapore, Canada, US, Denmark , China. This is because peoples adaption of technology is very slow though its improving. As far as Smartphones are concerned, I bought a smartphone (Sony Xperia SL) lately as I was coming to UK for MSc. Here the smartphone is very much useful to run application by using Wifi and helpful for the flexible accessibility of different software and make productive use of it. But in India the wireless connection and GPRS is very limited and slow due to poor Internet service in some remote areas though the numbers of services providers and their improving services are increasing.

I would categories myself in the "early majority" on Roger's Adaption Curve for adoption of this innovation as I was slow in adapting this product because of lack in services in India for the use of Smartphone.

Flavia - I am usually very interested in new developments in technology, however, the dawn of the smartphone left me cold. I was very attached to my Sony Ericsson phone

Page 12: Workshop 3

and found the iPhone useless and not worth the money as I'd heard, through word of mouth, that it wasn't very resistant.

My first choice after my phone had stopped working was the HTC desire, followed shortly by the iPhone 4. My choice however wasn't dictated by a wish to have it, but rather by the smaller selection of phones on the romanian market. Therefore, as far as smartphones are concerned, I could be considered a laggard as it took me quite some time and a lot of information to adopt smartphones. Curiously, I am usually within the early majority group for other innovation, for example gaming stations or laptops, however, the smartphone innovation didn't initially impress me in the least.

3. VIDEO - Frank Davidoff, M.D., "Innovation and Diffusion: The Informationist Program"This video is just over 35 minutes long and offers an excellent overview of Roger’s Diffusion of innovation applying it to medical innovations.

3.1 What is the role Davidoff’s “Informationists” in the diffusion process and how does he suggest they are implemented as an innovation?

Davidoff (2000) suggested that the best resources for medical knowledge are found within a medical library. The problem however, is that the medical information is not getting into the hands of those who need them within a clinical setting. Davidoff argues that this is a common perception with clinical practitioners; the resources are available but are unfortunately inaccessible.

This is where Davidoff’s informationists come into play, increasing information flow to those that need it. They can work with information within a particular business, analytic or scientific context to encourage decisions based on evidence, analysis, and prediction.

We examined the role of the “informationist” within Rogers model of diffusion (2003).

Page 13: Workshop 3

Image 8. source: Rogers’ (2003) Diffusion of Innovation Model

1. The informationist seeks to find relevant knowledge about an existing problem and tries to find innovative solutions for it. It is largely evidence-based on medical literature. Sometimes people who need the innovation are not even aware of them.

2. Persuasion and decision stages: At this stage the informationist presents their findings to the relevant audience (the early adopter), and makes a case for it’s adoption/diffusion based on their empirical findings.

3. Implementation stage: In this stage, the informationist can help remove problems that are occurring because of the implementation, and provide encouragement to the early adopters.

4. Confirmation stage: Here the informationist seeks to refine and improve the innovation based of feedback from the early adopters and tries to spread the innovation to the early majority.

Page 14: Workshop 3

3.2. What are the barriers to diffusing medical innovations? Can you draw upon Wilkins and Rogers barriers to draw on this?

The diffusion of medical innovations can be placed in the same context as other types of innovation, but only in a broad manner. The diffusion of medical innovations has both catalyzers as well as barriers which are specific in this field due to the medical, health-oriented nature.

One obstacle that emerges in the beginning stages is funding, or, lack thereof. The National Institute of Health (NIH) in America has been facing this problem throughout the past years and even though they understand that most medical innovations stem from the work of talented individuals who lack the funds, their budget makes them unable to support the number of projects they consider worthwhile. “NIH Director Francis Collins recently testified before a Senate subcommittee that in FY 2011 only 17 to 18% of grant applications would be funded, the lowest level on record”(Rosbash, 2011) and regardless of the, albeit small, number of NIH programs and awards which recognize outstanding, innovative projects there is still “the absence of stimulus funds and the building momentum for cutting federal discretionary spending.”(Rosbash, 2011).

Mesman (2008) argues that al new medical technologies work on the concept of promise and that all of them create new questions and dilemmas in the mind of the patients. Here we find one of the first barriers to diffusion, the perceived risk. This is by far not a barrier distinct to medical innovation; however, the perceived risk is higher and constant in that it is present for any new medical innovation. People are far more likely to overthink possible detriments to their health (medical innovation) than to waste sleepless nights wondering if the new iPhone 5 is going to delete all their contacts without notice.

“Technology diffusion in medicine is a complex, non-linear and dynamic process.”(World Health Organization, 2010). Obstacles are a dime a dozen in this particular case, some distinct to developing countries and others for developed ones. Common barriers are limited staff training, because of the costs such training incurs, hostility and reluctance toward new technology and, a barrier which has emerged gradually alongside the evolution of medical technology, maintenance, which hit poorer countries worse “due to lack of financial resources, but also other factors, such as a dearth of educational opportunities and emigration of trained professionals from developing to.”(World Health Organization, 2010)

There are also certain barriers to the diffusion of innovation that are exclusive to developing countries;

COST - a single MRI scanner can cost more than 1 million dollars to purchase and that does not take into account all the hidden costs that a single medical device embodies [service contracts, test equipment, downtime, space, licenses,

Page 15: Workshop 3

upgrades, supplies, installation, accessories, product management, utilities, training, etc…]

SPARE PARTS – the parts aren’t being produced anymore/ the cost is perceived as too high/ staff doesn’t act due to corruption or frustration

CONSUMABLES – or accessories (such as IV sets) are a necessity for some machines but might not even be available in a particular country

EXPERTISE AND TRAINING – complex machines need up-to-date training and the lack of it in developing countries constitutes a distinct barrier to diffusion

INFRASTRUCTURE – “The lack of reliable electricity and water supplies in many developing countries acts as a barrier to medical devices, particularly in view of the fact that most equipment comes from economically advanced nations with well-developed infrastructure and is designed to function in an environment provided with basic conditions.” (World Health Organization, 2010)

CULTURAL AND SOCIAL INCOMPATIBILITIES – medical devices exist in a context and cannot function unless said context is accepted by adopters; more so, some cultures prohibit use of medical technology because they do not believe in it

Further barriers are summarized in the following table.Lack of sufficient local research and research tradition

New ideas cannot be developed using solely local resources, also due to the lack of technical knowledge

Low investment in innovation

Most medical devices are imported => little to no incentive to carry out clinical trials before purchase

Inadequate post-marketing observation and feedback mechanisms

Lack of a direct link between clinical needs (locally) and design of devices (abroad)

Following Rogers (1962) definition of diffusion, we notice that medical innovations face mostly similar problems to other types of innovation, therefore please see the answer to question 1.2 for a more detailed analysis of barriers imposed on the diffusion of innovation found through Rogers’ definition.

Page 16: Workshop 3

A general overview of the previously listed barriers to the diffusion of medical innovations.

3.3 How does Davidoff use Rogers’ diffusion of innovation?

Davidoff uses Rogers’ model to demonstrate the diffusion of medical innovation and to demonstrate why published scientific evidence is not diffused faster and applied in medical practice. He labeled his ‘informationist’ concept to an innovation that has not caught on despite the fact that the clinical librarian and pharmacist concepts have been around since the 1970s. He used Rogers' framework to outline why this has come to pass.

Firstly, the supposed perceived benefit of the ‘informationist’ is not as obvious as it could be and so fails to fully convince medical practitioners and organizations of its worth. Next, compatibility is also vague; It’s an approach compatible with the values, the tradition, and the needs of the potential adopters (i.e.: medical community, the patient and the families). This is clear, but, in many ways, it doesn’t come across as Davidoff clearly thinks it should.

Page 17: Workshop 3

More so, its complexity is quite high, just by the sheer amount of training that will need to be undertaken before someone could possibly become certified. That aside, this ‘innovation’ is highly trialable as a small number of ‘informationists’ may be but in the preferred environment and their abilities and usefulness can be tested.The observability is modest, but could gain speed fast as the new position is integrated across medical institutions.

Davidoff names Gertrude Lamb as the primary innovator in this instance and larger libraries, library services, a small part of the academic service community and the pharmacy community as early adopters. There is currently no early majority as the innovation has not reached that stage yet.

The contextual factors remain the same; communication (between departments, branches of the health care service, individual practitioners), incentives (offered to supposed adopters in the form benefits arising from the use/implementation of said innovation), leadership (or opinion leaders, which may be the hospital higher-ups or high-ranking and respected doctors who show their support of this new profession) and management (of the different actions and routines that need to be changed and managed for this innovation to diffuse).

3.4 What is Davidoff’s criticism of Roger’s theory and what does he do to overcome this?

Whilst Davidoff praised Roger’s model for having clear and distinct stages of diffusion he also criticized it for being too complex, feeling that there is a lot of overlap between the 5 attributes. He states that for some innovations the model is not appropriate (Getrude Lamb – there was no early/late majority or laggard), so he instead suggests three stages which are applicable to all types of innovation regardless of which point in Rogers model they failed.

These factors were:

• Factors • Barriers • Time Course.

Page 18: Workshop 3

References:

Brown, L.A. (1981) Innovation Diffusion, Methuen & Co., pp. 1 – 20

De Bono, E. (1976). Teaching Thinking. London: Temple Smith.

Cattey, W.D. (2005) The Tipping Point – Book review, http://web.mit.edu/wdc/www/tipping-point.html, last accessed 22th October 2012

Coye, M.J., Aubry, W.M., Yu, W.(2003), The “Tipping Point” and Health Care Innovations: Advancing the Adoption of Beneficial Technologies, A conference held in Washington, D.C., The Health Technology Center

Davidoff, F. (2002), Innovations and Diffusion: The Informationist Program, [online], available at: <http://www.mlanet.org/research/informationist/pdf/davidoff.pdf >, [accessed 20th October].

Frattini, E. (2008) the commercialization of innovation in high-the markets, PhD thesis, Politecnico di Milano, Italy

Gladwell, M. (2000) The Tipping Point: How Little things can make a big difference, Little, Brown and Company, pp. 3 - 14.

Hadjimanolis, A., 1997. The management of technological innovation in small and medium size firms in Cyprus. Unpublished Ph.D. thesis, Brunel University, UK.

Hanool Choi, Sang-Hoon Kim, Jeho Lee, “Role of network structure and network effects in diffusion of innovations”, Industrial Marketing Management 39 (2010) 170-177

Hansen J et al. (2010), A stepwise approach to identify gaps in medical devices [Background Paper 1 of the Priority Medical Devices project], Geneva, World Health Organization

Karahanna, E., Ahuja, M., Srite, M., Galvin, J. (2002). Individual differences and relative advantage: the case of GSS. Decision Support Systems. 32 (1), 327-341.

Leonard-Barton, D. and D.K. Sinha (1993) Developer-user interaction and user satisfaction in internal technology transfer. Academy of Management Journal, 36 (5), 1125-39.

Levy, S.J. (1959) Symbols for Sale, Harvard Business Review, 37 (July-August), pp. 118

Page 19: Workshop 3

Macworld, Honan, Mathew, 2007. "Apple unveils iPhone". Available at: http://www.macworld.com/article/54769/2007/01/iphone.html. Retrieved 22.10.12

Mantel, S.J., Rosegger, G., 1987. The role of third-parties in the diffusion of innovations: a survey. In: Rothwell, R., Bessant, J. (Eds.), Innovation: Adaption and Growth, Elsevier, Amsterdam, pp. 123-134

Mesman, J. (2008) Uncertainty in medical innovation, Palgrave Macmillan

MLA (2000), The Medical Informationist and other roles for the librarian in the 21st Century, [online], available at: <http://www.mlaphil.org/wp/ce/2000/10/28/informationist/>, [accessed 20th October].

Rogers, E.M. (1962) Diffusion of Innovations (3rd ed.), New York: Free Press. (1983) pp.1 – 37

Rogers, E.M. (1995). Diffusion of Innovations (4th ed.), New York: Free Press.

Rogers, E. M. (2003). Diffusions of Innovations. (5th ed.), New York: Free Press.

Rosbash, M. (2011) “A Threat to Medical Innovation” in Science, Vol. 333, no. 6039, July issue

Sheth, J. N. (1981). “Psychology of Innovation Resistance: The Less Developed Concept (LDC) in Diffusion Research,” Research in Marketing, 4, 273-282

Tidd, J. and Bessant, J. (2007). Innovation and Entrepreneurship, Chichester : John Wiley & Sons

Tidd, J. and Bessant, J. (2009). Managing Innovation: Integrating Technological, Market and Organizational Change 4e - first ed. with Keith Pavitt. Chichester: Wiley.

Time, Grossman, Lev, 2007. “Invention Of The Year: The iPhone”. Available at: http://www.time.com/time/specials/2007/article/0,28804,1677329_1678542,00.html. Retrieved 22.10.12.

Wolpert, J. (2002). Breaking out of the innovation box. Boston, MA: Harvard Business Review.

World Health Organization (August 2010), Barriers to innovation in the field of medical devices, [Background Paper 6 of the Priority Medical Devices project], Geneva