Showing posts with label public sector. Show all posts
Showing posts with label public sector. Show all posts

Sunday, 7 June 2015

Trialability is key to adopting the right innovations

Trialability is the possibility that a client or a user, in general, is given to test a particular product for a finite amount of time in order to test its characteristics and, ultimately, its suitability for a set purpose. Trialability has long been recognised as one of the 5 factors influencing the adoption rate of innovation.
'Mannequin in Venice Shop Window'
by Michael Summers under a CC license

Indeed, trialability is normally available for a wide range of products and services and is not restricted solely to the innovative ones. Depending on the country, common goods, such as clothes, video games, household equipment, electronics, etc. can be tried for a short time and then returned for a refund if they are unsatisfactory. Rules do apply for this process, e.g., goods need to be returned in good condition. I've also heard of gallery owners that give their potential customers the possibility to "try" paintings or other art objects in their premises for a while before finalising their purchase. Such practice is also becoming increasingly common in high-tech, high-price equipment, such as digital cameras, camera lenses, etc.

Manufacturers of industrial equipment typically offer trial leases of their equipment to potential clients, possibly offering a pilot scale piece of equipment or provide access to actual scale equipment within their premises.

Software products also follow that trend with developers offering feature-limited trial versions, full-featured but limited time trial versions or online trial versions.

The benefits of trialability come at a cost, which corresponds to the cost of making and providing a trial version of the real thing together with a reasonable level of support.

But what happens with products that normally require considerable customisation before becoming fit for the client? And since trialability is a sought feature for innovative (and regular) products that, however, comes at a cost, does it actually hinder new small players entering the innovation game?

Sunday, 5 April 2015

Intrapreneurship: should organisations embrace the on-the-clock pet-project approach?

In a business, pet-projects are small-scale projects of individual employees, under their full personal control, carried out within the organisation, often using resources of the organisation.

'Luminous idea' by Tiago Daniel
under a CC license
Pet-projects have gained visibility through the successful practices of companies such as Google, HP, 3M, Genetech, IBM and others. There, employees have been given the flexibility - and have even been encouraged - to allocate a percentage of their normal working time between 15 and 20% to a personal project of theirs that may be (and usually is) different to and independent from their ongoing work tasks.

But is the policy of allowing employee pet-projects worth it or is it just a (persistent but limited) hype?

Sunday, 1 March 2015

Optimising services in the public sector

Improving the public sector for the benefit of the citizens is, maybe, the (quiet but constant) wish of citizens and the (occasional but loud) promise of politicians. Quite rightfully so, especially in countries where considerable sums of public money are channelled to support the various social state functions, such as education, healthcare, welfare services, etc.
'Winner' by Alessandro Capurso
under a CC license

So, why not try to optimise the public sector as would any business do with its core processes?

Interesting idea, probably not-that-new, certainly always tempting, but with its pitfalls. So, not so fast!

Optimisation, in the mathematical sense, is the selection of the best element(s) against a pre-determined set of criteria. This implies that, in order to optimise something, one needs data to for performance and cost parameters. In the typical scenario, one would have a large set of variables, with the corresponding datasets, and would need to select the target for the optimisation process, providing any constrains that may apply to the variables. It sounds easy but it's not.