governance vs. management

From dictionary.com;

gov·ern·ance

  1. government; exercise of authority; control.
  2. a method or system of government or management.

man·age·ment

  1. the act or manner of managing; handling, direction, or control.
  2. skill in managing; executive ability: great management and tact.
  3. the person or persons controlling and directing the affairs of a business, institution, etc.: The store is under new management.
  4. executives collectively, considered as a class ( distinguished from labor).

From WikiPedia;

Governance. is the activity of governing. It relates to decisions that define expectations, grant power, or verify performance. It consists either of a separate process or of a specific part of management or leadership processes.

Management. in all business areas and organizational activities are the acts of getting people together to accomplish desired goals and objectives. Management comprises planning, organizing, staffing, leading or directing, and controlling an organization (a group of one or more people or entities) or effort for the purpose of accomplishing a goal. Resourcing encompasses the deployment and manipulation of human resources, financial resources, technological resources, and natural resources.

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Gartner’s Open Government Maturity Model

I see from Andrea Di Maio’s blog that Gartner have published their “Open Government Maturity Model”. A similar piece of work that Gartner did around eGovernment a decade ago was often seen as the gold standard for measuring progress that various governments were making in that space.

I’m struck by their choice of a title, especially considering the lessons I have learned over the last couple of weeks about the amount of confusion there is out there around the various pieces of work that are going on.

Reading the title and knowing the business that Gartner are in, I’m left feeling a little confused about what they’re trying to achieve.

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Semantics and gov20

Lessons of the last two weeks;

  • Open Government != gov20
  • gov20 != Open Government
  • Open Data != gov20
  • Open Data != Open Government
  • gov20 != open data
  • Open Government != Open Data
  • eGovernment != Open Data
  • gov20 != eGovernment
  • blah blah blah…
  • etc.

At the same time there is no debate that they all feed off each other.

For me the OpenGovt2010 event in Wellington on Monday was fascinating in this respect, many of the folks leading each of these independent (but dependant) conversations in New Zealand in one room finding their common ground and discovering places where work and opportunities overlapped.

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Understanding gov20 adoption, Citizens / Consumers

The final post in my series of none scientific reviews of gov20 adoption will focus on citizens and consumers.

It is worth asking friends and family what they think gov20 means to them, and how they think some of the ideas that gov20 puts forwards can help both democracy and individuals. My none scientific research in this area over the last couple of weeks has resulted in a lot of blank looks.

When I look around for examples of government using gov20 services to broad effect there only appears to be a limited set of examples, but a wide array of experimentation.

It is worthwhile highlighting a couple of examples that I thought were interesting.

gov20The first one is simple, I clipped it from my Facebook stream a few days ago. It is a statement put out by whoever manages Obama’s Facebook page. (click to enlarge)

For me the comments say it all. A little over an hour after the article was posted an engaged citizenry, participating in our gov20 utopia had two things to say. “first”, as in I managed to post before anybody else and “you suck” as in, well, whatever complex policy contribution that was intended to provide.

My second example is a post that Stephen Collin’s contributed to the ABC website earlier this week. Those that follow Stephen’s work know that he has spent a long time thinking about gov20 and all that it implies, he has written a lot on the topic, has been very active in making it a reality and is seen as an authority on the topic by many. As you would expect his article is well reasoned and reflects views that many of us who have been working in this area over the last few years would jump to agree with.

As with my first example, the comments on the ABC article tell a story and are worth a careful read. At first glance some of them left me feeling a little defensive, but there is always value is getting past that and instead looking for lessons that we can take away from the responses to the article.

Some examples of how we could interpret the comments on both of these examples (although there isn’t much to work on in #1);

  • We might decide that those guys simply don’t get it, they’re not thinking big enough and they lack understanding of the challenges and the opportunities involved. Anybody working with the gov20 ideas knows the value, we can articulate it and we have nothing to worry about. The neophytes making comments on that article are living in the stone age, they need to wake up and smell the coffee.
  • We might decide that our key marketing messages for the gov20 need more work. Obviously if the strategy is right it must be the case that we’re simply not articulating it in a form that outsiders can grasp and adopt.
  • We might decide that it is worth revisiting some of those early assumptions about organizational change, the role of social media and the need for open data. I’m not suggesting that any of the assumptions are necessarily wrong, but it is possible that we have an incorrect weighting on those topics when balanced against the needs of the wider community.
  • We might decide that we have a significant amount of testing to do with “users” (citizens) before we go too much further, it is always possible that a relatively small group of people (call them gov20 enthusiasts) have persuaded themselves that they understand the challenge, fully grasp the role that technology will play in our open and transparent governmental future, and have most if not all of the answers worked out.
  • …. and so on.

In many ways I see a reflection of a lesson we learned during some of the early eGovernment projects. We built a number of services in the UK that technologists were very excited about, consumer research that we did after those services had been live for a while told us that most of the electorate just didn’t care. The UK then undertook a combined program of research to help inform the government about what was expected from their online services, and marketing that helped citizens and businesses understand what was being delivered.

As I see it, we have a lot of work to do before citizens start to see some of the ideas put forwards in gov20 discussions as ones that are of substantial benefit to them.

For this post I didn’t bother trying to highlight where I felt citizen and consumer uptake sat on the technology adoption curve. Despite the success of a handful of services, in many ways I think we’re only just getting started.

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Understanding gov20 adoption, Politicians / Civil Servants

For the second of my none scientific posts about the adoption of gov20 I thought I would look at the progress that has been made by elected officials and government employees.

This is a little harder to take a single view on, I see dramatically different levels of adoption in different geographies. So, as this is an unscientific study I’ll take the liberty of generalizing.

As with the other segments I think there are a number of distinctly different tracks that we should think about;

  1. Politicians using social media to work with their constituents.
  2. Politicians and government officials who see the power of open data as a component of their policy making work.
  3. Departments and/or government officials who have embraced the idea open data as an important part of their ongoing projects.

pol and gov

My overall view is that it is early days on all three fronts, and some earlier than others.

There are a growing number of examples of politicians and senior officials using social media to engage directly with constituents, over the last couple years we have seen the technologies increasingly used as part of election campaigns, as well as a tool to carry on conversations after an election. Much of this activity has been between a political party (or a US president) and the electorate though, I still only see a handful of elected officials using these tools to perpetuate an ongoing and direct conversation.

Some of these innovators (I mentioned Senator Kate Lundy from Australia or Clare Curran, MP from New Zealand as examples yesterday) will set the stage for what comes next. Their success, or otherwise, with social media will help a broader bench of politicians calculate the risk of following in their footsteps.

I can only find a small handful of examples of my second point for this post, politicians who see the benefit of open data in their policy making activity. I have mentioned one of my favourite examples before on this blog. It comes from Bill English (NZ Deputy Prime Minister) when he talks about something he calls “inside out government”.

As an example, in a speech last year to The Institute of Public Administration in New Zealand, he said; (my highlighting).

A second concept for the future is “inside out government”.

Government holds a wealth of information.  Some of it – quite rightly – is sensitive and access should be strictly controlled – tax records for example.

But in other areas, I see no reason why we can’t turn government inside out, so to speak, and make the same data and information available to those outside of government.

Government can tap wider resources in the community to analyse and use government data to help solve problems and produce insights. A ministerial committee is exploring this concept.

Inside out government also requires government to be open to good ideas from business.

We want to see ideas generated in the private sector and NGO sector genuinely considered and appraised – not simply ruled out on the basis that these sectors might not understand all aspects of government.

To make this approach truly valuable it is important that we are able to analyse not only local data but also compare that data with other international sources. It would be powerful to be able to compare the costs of building a mile of road, managing a hospital bed, operating a prison cell etc. across jurisdictions and then to use the knowledge gained from that to optimize local policy in an informed way. Making this a reality will involve both an evolution in the way that policy makers think, and some solid work by the technology and standards communities to find common ways to evaluate published data.

Finally, while I know they must be out there, I’m struggling to find solid examples (from ANZ) of departments that have embraced the idea of open data as an essential component of their day to day projects. With the current public appetite for open data and the applications that we see spring up every time a new data set is published I am sure it is only a matter of time before we see the topic become an integral part of every departmental project planning process.

Overall, looking at governments use of gov20 technology I still see much of the activity as sitting in the “Innovator” segment of the curve. Lots of work to be done, and lots of opportunity waiting to be tapped.

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Understanding gov20 adoption, Developers / Technologists

So, for the first in my series of none scientific posts about the state of gov20 deployment I thought I would pick up the easiest of the three segments that I mentioned yesterday and look at how developers and technologists are getting on.

I say the “easiest” simply because I think it is the clearest of the three segments in terms of adoption,  and is pretty consistent globally.

Whichever way you slice this audience it is clear that the opportunities presented by gov20 and open government have been embraced by developers, as a result almost everyday brings new data, new applications and new ideas.

dev and tech

That said, I think about three distinct threads of gov20 that relate directly to developers and technologists.

  1. Open Government Data – this is obviously beyond the innovator and early adopter stages, governments around the world have published complex datasets to government owned sites, delivering both transparency and opportunity.
  2. Application Development – much like the data, there are endless examples of great applications that have come out of the gov20 work that has taken place around the world. Almost everyday there are examples in my inbox of a new application or idea that will shortly be turned into one.
  3. Social Media –  My feeling is that the adoption of social media in a gov20 context sits in a slightly earlier stage of the curve. While an increasing number of our politicians are seeing the value of social media and are finding ways to make it work for them, there are still many more who have yet to explore tools like Facebook or Twitter.

It is no secret that the availability of government data and the ability to write applications are linked, with government providing the data and a combination of developers (public and private) then going ahead and using that data to write new and innovative tools.

It will be interesting to see what happens as the data related work moves towards the peek of the technology adoption curve. My expectation is that governments will begin to find ways to harmonize their published data, either at a semantic level or by working more closely together on data modelling. This will provide a platform where governments can do an increasing amount of cross jurisdictional analysis as they develop policy, and at this point we will see the applications that are being developed for mobile and web platforms today start to be complemented by the use of government data in enterprise customer and management tools that span both the public sector and the commercial worlds.

Social media as a mechanism of communication, for me at least, sits on its own. My feeling is that there is more work to be done if social media is to make it into the main stream, with many government users of social media today being people that I would put in the Innovator or Early Adopter category.

Social Media will find its role once citizens see it as a credible way to debate and discuss issues with their elected representatives and other senior members of government. There are elected representatives in ANZ who are actively demonstrating that this model can work, Senator Kate Lundy from Australia or Clare Curran, MP from New Zealand spring to mind. I suspect many of their colleagues are watching their work closely and they will become a guide for what happens next in this space.

As with all of my posts this week (or at any time for that matter) you may see things differently.

Commentary welcome.

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Understanding gov20 adoption, finding a model

The day I started my first technology marketing job my hiring manager presented me with a book about the technology adoption lifecycle. It is a phenomenally useful way of looking at the market adoption of a new product or technology, offering plenty of clear pointers around how you should be managing both your marketing plans and the lifecycle of your product.

Over the years the technology adoption lifecycle has been used in many books and other studies, you could be familiar with Everett Roger’s Diffusion of Innovations, or Geoffrey Moore’s Crossing the Chasm.

I plucked the image below from Wikipedia, I’m not sure I entirely subscribe to the percentages on this particular graph, but you get the picture.

Earlier today I found myself wondering how this thinking could be applied to the current state of gov20 adoption and deployment, and what it might teach us as we try and work out where the conversation needs to go next.

The goal of any marketer working with this model is to work out what materials or other evidence you need to produce to attract Innovators who will come and play with your product, then successively how you will produce the next set of materials that you need to move your position in the market to the next segment of the curve, picking up an increasing customer base as you go. As you pass over the peek of the curve you might also start to think about what you need to do to start the cycle again with a new product or technology and what this might mean to existing customers of your product.

For the model to work you need to think about a combination of the overall market and how you would break it down into addressable segments that you can apply understanding and action to.

For gov20 I came up with the following segments, your mileage may vary;

  • Citizens / Consumers – consumers of services, people who vote, tourists visiting from overseas etc.
  • Politicians / Civil Servants –creators of services, people who define policy, people managing budgets in government etc.
  • Developers / Technologists  – developers inside and outside of government building online services, departments publishing opendata, consumers of published opendata etc.

As the date for NZ OpenGov 2010 gets closer I thought I might publish a series of posts, one on each of these segments. Each post will talk a little about my own perception of how I think we are getting on and some ideas around what we might be able to collectively do next.  I have no empirical evidence to present, but figured this might be a good way of opening the conversation.

More tomorrow…

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CSIRO Megatrends and Megashocks

One more that I missed when it was published earlier this year.

Australia’s Commonwealth Scientific & Industrial Research Organization (CSIRO) have published a report outlining what they call their megatrends and megashocks titled “Our Future World: An analysis of global trends, shocks and scenarios”.

The five megatrends they identify in the report are;

  1. More from less. This relates to the world’s depleting natural resources and increasing demand for those resources through economic and population growth. Coming decades will see a focus on resource use efficiency. 
  2. A personal touch. Growth of the services sector of western economies is being followed by a second wave of innovation aimed at tailoring and targeting services. 
  3. Divergent demographics. The populations of OECD countries are ageing and experiencing lifestyle and diet related health problems. At the same time there are high fertility rates and problems of not enough food for millions in poor countries.
  4. On the move. People are changing jobs and careers more often, moving house more often, commuting further to work and travelling around the world more often. 
  5. i World. Everything in the natural world will have a digital counterpart. Computing power and memory storage are improving rapidly. Many more devices are getting connected to the internet.

The trends themselves are not too much of a shock, however the data and supporting information that the document uses to support each one of them makes for a fascinating read. If you have some time to spare I would highly recommend taking a look.

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Information is currency

Coins and plant, isolated on white background For centuries economies have been based upon a well proven model of bartering, early trading involved individuals exchanging goods or services of similar value then over time we saw cash become the primary means of applying a value to a transaction. Over the last decade we have seen several companies and individuals work out the next step in the evolution of currency, applying value to information in ways that we never previously imagined.

As a society we have always understood the value of big pieces of information. Every day corporate moguls exchange it for power, spies have used it to bring down ancient kings, and criminals have occasionally been able to turn it into money by blackmailing a cheating spouse. However, at the lower end of the scale we’re probably just starting to understand the value of the information that we hold.

Over the last decade, as information based business models have evolved, we have seen a number of companies work out how they can translate information into revenue, in many cases turning that information into cash through the use of targeted advertising engines. These companies are able to take information from many sources, then process it to ensure that advertisers can target their adverts directly to the right individual or set of individuals.

Supported by advanced computing power, this new breed of company has been able to achieve two things. First of all the ability to process massive amounts of seemingly irrelevant information, enabling them to build complex demographic models that provide them with a deep understanding of societies behaviours and secondly manage and collect micropayments in exchange for the information that they have processed. In today’s environment information no longer needs to be big enough to bring down a king to be valuable, you can build a multi billion dollar business based upon information that sells many millions of times over for a single cent a time.

Who does this information really belong to though? Is information about what we eat and drink, where we visit, how healthy we are and what we like to do in our spare time something that should be public domain or should it be private information that belongs to each of us personally?

Today’s model is pretty straight forwards. Many of the companies that collect and process information about us provide us with valuable services in return. Instead of spending traditional cash for access to these services we are in essence (and sometimes unwittingly) investing our personal information in return for email, blogging tools and other similar services.

For those who choose not to use a particular companies services there is probably an unrealized loss, assuming that they own their information then they’re still investing the same information but as they are not using services their information is turned into cash through an advertising model which then goes straight to the companies bottom line profits.

In the future I would expect that we will see more evolution of this information to advertising model. Individuals are already beginning to recognize that their information has value, for the moment all you can do at that point is hide what information you can behind privacy permissions that are granted to you, in the future I think we will be able to do to more.

Assuming that the title of this post is fact then I expect we will eventually see mathematical models that help us understand the floating exchange rate between, for example, a home address and the New Zealand Dollar (which might be as low as a couple of cents), or the rate between the mapping of an individuals DNA and the British Pound (which would most likely be into the thousands of Pounds).

In essence information as a currency will be able to float in value alongside the rest of the existing currencies of the world. At that point individuals will be able make similar decisions with their information that they make with money today.

Should the DNA mapping of my next child be something that I can invest in such a way that it gathers interest and eventually pays for that child’s collage education, should I be able to spend the details of my family tree with a restaurant who in return throw us a lavish family party. I might be able to make an explicit decision to invest details of my online browsing behaviour with a company that in return pays me with free email and search services, rather than the implicit decision that I make today.

Going even further out I can see several good reasons why we could see information management be a product offered by banks alongside our existing checking and savings accounts, providing customers with “billpay” functionality that allows them to control where personal information goes, how it is used, and what they get back in return.

This post isn’t in any way a complaint about the information companies that exist today, merely an attempt to provoke a little thought around what comes next.

In 2010 information is currency, there are multi-billion dollar companies standing as evidence to that point. My question is about what new opportunities we can create as we gain a greater understanding of information based business models, and at the same time how likely are we as individuals to be able to recognize the value of the information assets that we hold?

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Ultra High Speed Standardization

Originally posted on TalkStandards.com, 18/3/2010

Since I first got involved with eGovernment projects in the mid-nineties I have been encouraging governments that I have been working with to look towards international standards as a route to solving system interconnect challenges, an important step on the path to providing more predictable and useful services to the citizens and businesses that they work with.

More recently, along with everybody else in my field, I have found myself increasingly involved in eGovernment projects that are using Web2.0 technologies (sometimes called Gov2.0) to improve the way that they work with their constituents.

Working with these projects I have become aware of two factors that have changed the way that I think about a subset of the communication standards that the projects rely upon.

1. Companies like Facebook and Twitter are still evolving, rapidly and in real time. To maintain their pace of innovation they need to be able to constantly update the APIs and protocols that clients use to interconnect with them.
2. As software development has become more agile it is increasingly easier for developers to keep up with these rapid changes. The myriad of twitter clients that change as the TwitterAPI changes is a good example of this agile software development in action.

This change has led me to think more about the evolution of innovation, and when it should and should not intersect with a standardization process.

The whole curve introduces more complexity than would be suitable for this blog post, however to drive the conversation of today’s topic I would suggest that at the start of the curve, while services are still evolving and users requirements are still being understood, it frequently not appropriate to standardize these emerging technologies.

At the same time as companies like Twitter and Facebook have adopted a policy of publishing the details of their interfaces in an open and transparent manner they have provided a platform that is suitable for governments to adopt, in the way that those same governments could only have adopted internationally peer review standards in the past.

The Gov2.0 projects have introduced us to an era where we do see governments adopting technology that we would have considered emerging and unstable in previous years, and they are adopting those technologies with  success and a great deal of support from their citizens.

We have a new form of standardization that happens in real time, and governments around the world are already embracing it.

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