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New Technology Adoption’This Time Its Personal

We know the statistics an estimated 70 percent of change efforts fail (Kotter) and an estimated 80 to 95 percent of new product launches dont create significant traction in the market, with early stage companies fairing the worst.

Unsurprisingly it is hard to convince organizations to adopt new technology, particularly for companies who are still building market presence and dont yet have an established and trusted brand.  New equals risk and even with a superior solution organizations fear that the adoption process will be costly, time consuming and will not deliver the promised benefits case. At the heart is a concern that a critical mass of individuals will not embrace new technology beyond the innovators and early adopters, they may try it and revert back to old ways of working or resist it completely. As such organizations often remain with legacy systems and products, which don’t fully meet the business requirement.

The technology adoption curve is shifting much more towards the individual personal adoption now leads the way.  Psychologically we know individuals naturally resist change and many factors effect rate of adoption: economic, social, organizational, political and psychological.  The challenge today is there is a lot more change to embrace constant change is the norm and the volume of information to process and action is growing significantly, along with the number of devices and platforms accelerated all the time by increasing social media and mobile adaptability.  To meet an organizations needs a number of individuals need to adopt quickly to form a critical mass to outsmart the competition.

Certain fast growth markets have demonstrated that they will accelerate technology adoption if it optimizes their lives. For example, Africa’s adoption of cell phones.  Penetration of cell phone usage in some African cities exceeds 100 percent (International Journalists Network) driven by the need for information, coupled with Africas rapid urbanization which is driving dramatic changes in the way people share and consume information and use it to improve their standard of living.

My own experience of introducing new technology is whilst it is undertaken with the very best intentions it can often be expensive as the results fail to stick post the initial engagement.   There are lots of change management models, tools, books and templates – many of which involve aspects such as communication and engagement, training, behavior and culture change and benefits realization.  This effort still fails to equip an organization over the long term to increase adoption of new technology.  Reliability, lack of time and confidence to learn, uncertainty that using it will make a difference and lack of support tend to be the reasons cited for why new technologies are not adopted in the long term.  However, the main issue is perhaps that change management effort still predominantly focuses at the organizational and not the individual level.

In addition, in line with technology becoming more modular, plug and play and easier to consume, change management to support end user adoption needs to reflect the new ways technology is consumed.   Change needs to be constant, modular and evolutionary with fewer big-bang transformations.

So what can be done to accelerate end user adoption of new technology and make the change sticky, so it has a long-term impact?  From my experience the following implementation phases need to be considered.

Market Conditioning test and prepare the market

Enablement Engage the Market

 

Product Launch  – Validate the Business Model

 

Rolling Launch a Continuous Interactive Drumbeat

Enable the Organization to Support Long-term Adoption

 

To remain competitive individuals, organizations and economies, must learn quickly how to leverage new technologies that offer benefits over traditional products. Large-scale, organization led change management models no longer offer the rapid scale-up and stickiness required. Rapid technology adoption now needs to start at the individual not the organizational level and change management approaches and models need to reflect this.  Individuals need to be able to immerse themselves in new technology on their own devices and influence the design so it really works for them.  New technology adoption programs critically need to be able to answer:

  1. What level of individual adoption do I need to build a critical mass to influence change?
  2. What messages do I need to use to capture individual interest and awareness?
  3. How will I engage both technical and business users?
  4. What support mechanisms do I need to put in place to enable adoption?
  5. How should I sustain the change over the long-term?
Image: RGBStock

 

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