Category Archives: Innovation Systems

Digital Economy Series: In a digital economy will the abundance of data fuel a golden age of wisdom?

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Knowledge in action. Sagacity. Percipience. Having experience, knowledge and good judgement. These words and phrases all describe and define wisdom. But will an abundance of data lead us to a golden age of wisdom? Will a richness of facts and figures, statistics and evidence lead us to a never-ending harvest of good judgement?

If we give credence to the DIKW (data, information, knowledge, wisdom) information science hierarchy, the answer leans to the affirmative. For with this framework, the following is the pattern: firstly, an abundance of data certainly leads to a wealth of information, or descriptions, about a plethora of matters. Which should, in turn, facilitate a breadth and depth of knowledge that is available for teaching and mentoring at a level unsurpassed in human history. Where the fruits of expertise, of mastery and of prowess are collectively this knowledge. And where this teaching and mentoring is an enabler to all people across the world regardless of the strata of society in which they sit. Where all of this flow upward from data, information and knowledge leads, finally, to a culmination in a golden age of wisdom. A time of good judgement and wise action.

But is the preceding flow true if we use a different time horizon? This piece you are reading is written for a time-frame of several decades into the future. What if you and I were to wind the clock back several decades to a time where “today was that tomorrow of several decades into the future”? Comparing this “back-in-time today” to the “current-time today”, is the latter enriched with an abundance of data? Do we, in the “current-time today” have a wealth of information about a plethora of matters compared with the times past. And thirdly, with respect to the current times, do we not have the ability, through information and communications technology, to teach and to share the fruits of expertise globally?

The argument can be made that we are better off today than yesterday. That we are wiser, that we have made sound judgements. While there is so much more to do, we can point to improvements in economic and physical health across the globe. We can make mention of the reduced rates of nation-state armed conflict and of improvements in education. But as we cast our eyes forward, will the teenage grandchildren of today’s teenagers be enveloped in, and benefit from, a milieu of experience, knowledge and good judgement? Consider the following two scenarios.

While matters of family are a common thread, that young woman in Asia, on the cusp of adulthood, may well have a personalised AI avatar to guide her through career and social choices. Offering her advice that could be heeded. And what-about that young man? A product of his Western heritage, looking to develop a career in the physical trades, finding his options don’t include the routine work he desires. Just like he was told throughout his schooling years.

In both cases, wisdom is offered but not infused. The prospects are that tomorrow will be just like today. Today we have that abundance of knowledge and the capacity for wise outcomes. And tomorrow? Our knowledge will have grown, we’ll have intelligence on hand and our capacity for delivering wise outcomes will be enhanced, but whether or not our results reflect these well-developed inputs is surely debatable.

These same arguments can be made regarding the generation of these teenager’s parents. Regardless of whether they live in Africa, the Sub-continent or in the Global North, one can imagine these parental pillars of society having responsibility in business or in policy making. Where the leaders in business are bound to a then long-established fiduciary duty to consult digital oracles. Where the policy makers can freely receive a finely curated harvest of good judgement.

Again it plays out in these two cases, decisions not quite fully imbued with the wisdom on offer. For across all four of these vignettes witness a surfeit of data, of information and of knowledge ripe with judicious potential. But where the consumption of this particular fruit is not universal. And the common denominator? What stands in front of this golden age of wisdom is surely our inherent human nature.

 


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“Preparing for the change that is on the horizon”

Abstract

Although we see change all around us, we aren’t yet fully aware of the coming impact that increasing computerisation and automation will have on the workforce. This paper looks at the research from leading academics and institutions and posits several implications for local businesses and economic development activities. Using a strategic foresight framework it outlines several courses of action that address the implications.

Current Research

Much discussion has been had with respect to the “40% of jobs will be lost between now and 2030” headline in recent times. But where has it come from, and what are the implications of this change.

Frey and Osborne, two researchers from the University of Oxford, released a paper in the latter part of 2013 entitled “The Future of Employment: How susceptible are jobs to computerisation”. They analysed the tasks of all of the standardised list of jobs (there are just over 700 different jobs – sales manager, hairdresser, CEO, etc). This analysis looked at the likelihood of computerisation of any of the tasks of any of the jobs.

Jobs and the probability of computerisation

 

Figure 1: The distribution of occupations and the probability of computerisation, along with the share in low, medium and high probability categories.

 

 

 

 

What they found was this. Firstly, that high-wage and high-skill jobs are the least susceptible. Secondly, that the more routine tasks that a job has the more susceptible that that job is to computerisation and automation.

Another of their findings was that employment in services, sales and construction is likely to be affected. Although this seems counter-intuitive, reflect upon recent technological advances. For example, robots are making their way into services, entry level sales jobs are being replaced by technology, and prefabrication, 3D printing and drone-based construction are forging paths into the construction sector.

Another major piece of research that you may not have heard about was that produced by David Autor and colleagues of the Massachusetts Institute of Technology (2013).

This research was focused on the types of tasks that a job is comprised of. Reflect upon the job that you do, even those of your colleagues or friends outside of work. Your jobs are made of manual tasks and cognitive tasks. Autor went one step further and divided these into routine manual, non-routine manual, routine cognitive and non-routine cognitive tasks.

Jobs and the demand for skill types

 

 

Figure 2: Trends in task input in the US Economy

 

 

 

As you can see from the graph (although it is of the USA job market, the trends nevertheless apply to Australia), the movement in skill demand is only good for non-routine cognitive tasks. That is, those that require non-routine interpersonal skills (social intelligence) or those that require non-routine cognitive skills (creative intelligence).

These historical findings make sense. For example, we have seen the replacement of a lot of manual manufacturing jobs with increasingly sophisticated machines over the years. Likewise with say routine cognitive tasks like account/book keeping where shoeboxes full of receipts have been replaced with automatically updated entries on some cloud-based software.

A third line of research related to employment is aimed at finding out how productive we are (Productivity Commission, 2016). That is, the better a firm is at turning its inputs into outputs the more productive it is. What flows from increased productivity is increasing profitability, higher wages, business growth, and so on.

Now, over the years, it used to be that the smartest and most productive firms (the frontier firms) were always a fixed percentage better than most. However, in recent times, these most smartest and most productive firms have been getting much more smarter and much more productive than the rest. The “fixed percentage better” is no longer fixed, the gap is increasing. So much so, that the majority of the economy seems to be stagnating.

Markey sector labour productivity

 

Figure 3: Productivity of the Australian economy

 

 

 

 

What this chart (fig 3) tells us is that the majority of Australian businesses either aren’t looking at making better use of their labour, or they are making sub-optimal investments in their business.

The final piece of research to mention is with respect to employment multipliers.

We know that one the tenets of economic development is that for every local job created, additional jobs are also created. This employment multiplier is dependent upon the industry and whether or not the job is in the tradable or nontradable sector. Moretti (2010) finds that for every local manufacturing job created, another 1.6 jobs are created in the local nontradable sector. Lee and Rodriguez-Pose (2016) report on research that found 4.9 additional jobs in the nontradable sector for every 1 job created in high-technology industries.

According to Kaplanis (2010a, 2010b) there are three factors that drive the formation of these additional jobs: increasing the density of high income workers drives an increase in the demand in the local nontradable sector, rising production complementarities as the density of local skilled workforce rises, and improvements in one firm’s productivity benefit other firms.

Implications

Based on this research, there are several implications for both businesses and economic development activities in your local area.

First. Jobs that involve thinking and/or people skills are the future-proof jobs. Think about the different industry sectors (ie, agriculture, construction, education, manufacturing, etc) and their impact upon your local economy both now and into the future.

Can you see a range of employment options developing that are rich in these two types of skills?

Second. Jobs happen in the context of a business. And with more and more jobs being computerised and automated, are the businesses in your local economy looking to improve how they operate their business and how they produce their goods and services.

Take, for example, a telemarketing business. Say there is such a local business (call is “Biz-A”) and it employs about 200 people. The staff are paid to call people and move them along the sales pipeline. Now, lets imagine a competitor. And this competitor (call it “Biz-B”) uses computerised voice services. There is significant potential for the Biz-B to compete profitably against Biz-A.

Have you heard of Amazon’s “Alexa”, Apple’s “Siri” or Microsoft’s “Cortana”. It is not beyond the bounds of possibility that Biz-B could simply be a computer with the right software and an internet connection to be just as effective as Biz-A. The potential is for those 200 staff to lose their jobs, and for Biz-A to close down.

So, for businesses to thrive, they must always be looking to both improve the efficiency of their operations (a total cost of ownership calculation) and to improve the effectiveness of how they generate profit (a return on investment calculation).

Is there a bias toward improvement and innovation across your local business sector?

Third. For businesses to succeed in the period ahead they need to be able to attract people that can think and that are good with others. That means that the owners of the business and the organisational culture must be biased toward new ideas and working with those outside the firm.

Is there a continual flow of good ideas and forward looking people into your local economy?

Fourth. There is a definite linkage between businesses that export product out of your area and growth of local lower-paid jobs. Although developing the manufacturing base will do it, greater local employment gains will be achieved with a focus on high-technology industries.

What steps can you take to develop local high-tech industry?

Actions through the lens of Strategic Foresight

Strategic foresight precedes strategic planning. Planning strategies is about decisions. It’s about asking two questions: “what will we do” and “when will we do it”. Whereas strategic foresight is about understanding the future and clarifying emerging situations. It answers the questions: “what seems to be happening” and “what might we need to do”.

One model that helps us understand the future is Dator’s matrix. This model holds that the future for any organisation, person, business, community group, family, etc will follow one of four paths:

  1. Business as usual
  2. Something transformational will happen
  3. Decay and degradation set in
  4. Restrictions and discipline are enforced

With so much change on the horizon, particularly in the world of work and business we can probably discount the “business as usual” future.

We can probably also make the case that the transformational path won’t happen (ie, hope is not a strategy) and that an increasing “nanny state” future is also not likely.

So that potentially leaves a retreat from the prosperity we currently enjoy.

Therefore, because we can see this change fast approaching and to forestall, mitigate and overcome this retreat, the recommendation is for local action.

Where the action includes a focus on either attracting, or developing, high wage high tech industries.

Where the action includes ensuring local businesses have a bias toward innovation.

Where the action includes community development that is attractive to the thinkers.

Where the action includes events and programs to facilitate business to business interaction.

References

Frey, C. Osborne, M (2013). “The future of employment: How susceptible are jobs to computerisation”, Oxford Martin School, Sep 2013

Autor, D. Price, B (2013). “The changing task composition of the US labor market: An update of Autor, Levy, and Murnane (2003)”. MIT Economics, June 2013

Kaplanis, J (2010a). “Local human capital and its impact on local employment chances in Britain”, SERC, London School of Economics, Jan 2010

Kaplanis, J (2010b). “Wage effects from changes in local human capital in Britain”, SERC, London School of Economics, Jan 2010

Moretti, E (2010). “Local Multipliers”, American Economic Review: Papers and proceedings 100, May 2010, pp373-377

Productivity Commission (2016). “Increasing Australia’s future prosperity: Productivity Commission working paper”, Nov 2016


 

This article was first published in the journal of Economic Development Australia, Autumn, 2017


For more of what I have to offer, visit Dellium Advisory, follow on Twitter, connect using LinkedIn, review my IT Strategy blog, subscribe to my YouTube channel, or buy my ‘Jobs. Future. You.’ workbook.


 

“Toward Future Peri-urban prosperity in the Knowledge Economy”

Abstract

The production, distribution and application of knowledge are the three components of the knowledge economy. The knowledge economy can also be described as an innovation system. Of which both terms can apply to the local economy. With the increasing importance that knowledge plays in the goods and services we produce, it is of critical importance that economic development strategies reflect this shift. This is of particular concern to those living peri-urban zones. A path to addressing these concerns and preparing the local knowledge economy (or local innovation system) for what lies ahead is found in the application of strategic foresight methods.

Background

While the prospective shifts in the job market, due to increasing computerisation, having been much commented upon in recent times, what has largely been missing from this narrative is this. Our economy is always in transition.

Image - CEDA Changing Australian EconomyThis was well illustrated in a recent CEDA “Australia’s Future Workforce” report from (2015), and in particular the chart (left) that Phil Ruthven used in his contribution. Where this chart, shown below, amply demonstrates the ongoing and dynamic nature of these workforce changes. Where in the 1960’s about 40% of our GDP came from primary and secondary industries (it is now around 30%), and where now about 60% of our GDP comes from the tertiary and quaternary sectors (it was about 50% in the 1960s’).

To further underline the changing nature of our economy there are two interesting charts (below) from the ABS. In 2011 they released a “50 Years of Labour Force: Then and Now” report (ABS, 2011). From this analysis of the data you can see that less of us are involved in producing physical things. In fact, most of us get paid to produce intangible goods and services rather than tangible products. We’re more likely to be employed using our brain than our brawn!

The question needs to be asked, will we always handle our economic transitions  well?

While the shift from a national economy primarily based on agriculture and mining, all those years ago, to one with a large manufacturing base was largely handled well. It seems as though we may not be as fortunate with the shift away from manufacturing to what lies ahead for our service-based (knowledge) economy.

For what is different with this transition is the advances concerning the technology that handles information. That is, there are many technological innovations that are improving the creation, flow and use of information within and between all sectors of the economy. With all manner of impacts.

For example, we see an impact in our daily interactions through social media. Where through this internet based communication technology we can share and receive information with more people more efficiently. We see an impact in education where with video and software technology we no longer have to be in a class-room to hear a lecture or participate in a tutorial. We see the impact at the supermarket checkout where we can complete our transaction with a machine and not a person. And we see it with call centres for large businesses offering instantaneous web-based chat services over interminably long wait times to talk with a customer service rep.

And more broadly, we can see these impacts in the types of successful companies that we are now witnessing. For example, Uber is the world’s largest taxi company yet it owns no taxis, Facebook is the world’s largest media owner yet it produces no content of its own, and Airbnb owns no real estate yet is the world’s largest accommodation provider.

It seems as though the “software is eating the world” proclamation in 2011 by the Netscape founder Marc Andreesen (2011) is coming true. It seems as though there are increasing impacts of information technology upon our economy and that our success in handling this transition will determine our future prosperity.

And for me, this transition to these industries of the future, particularly as it plays out in peri-urban regions, is of immense interest. For my PhD research is centred on finding appropriate development strategies for peri-urban regions with respect to the knowledge economy.

The Knowledge Economy

In a 1996 general distribution paper the OECD noted that “knowledge is now recognised as the driver of productivity and economic growth, leading to a new focus on the role of information, technology and learning in economic performance” (OECD, 1996).

Where, the OECD argued, economic outcomes were increasingly linked to the production, distribution and application of knowledge. And where these outcomes were tied to not only “traditional” investments such as research and development efforts and education institutions, but also to areas such as management practices.

Another perspective on the knowledge economy is from a paper that John Houghton and Peter Sheehan (2000) produced for the National Innovation Summit 16 years ago. They wrote about the knowledge intensity of economic activities. Where knowledge intensity involves both the increasing intensity of knowledge to produce goods and services as well as the growing importance of these particular goods and services to the economy.

And as we look around to our own local economies do we fully apprehend how vital the production, distribution and application of knowledge is to it’s success?

Now, one of the ways to apprehend how well our local knowledge economy is performing is to view these three components (ie. production, distribution and application) through an “innovation system” lens.

Soete (2010) defines what an innovation system is in his paper for the Netherland Bureau of Economic Policy Analysis. This definition states that the components of such a system are and how each of these components interact to produce outcomes.

Therefore, through the interactions between the people and organisations that play their part in one or more components of the innovation system, we can see how the knowledge economy is built. We can see how the production, distribution and application of knowledge occurs.

And we can start to understand how well our local economy is going to perform in the production of knowledge intensive goods and services.

Place-based economic development

In order to lay a foundation for the rest of this article I need to draw a couple of threads together.

The first is this. An innovation system is a system. And with reference to systems theory (Meadows, 2008), every system exhibits unique behaviours. This is because there are multiple components within a system and they all interact with each other to a greater or lesser extent.

For example, let us imagine an urban community that has a progressive teaching hospital as its main employer. Not only would you expect to see allied health services in the vicinity of that campus, but you could also see entrepreneurs building firms using health technologies.

Therefore, the particular behaviour of this unique urban community system can be linked to the existence of these components, their individual size and the influence they have on one another. Change any of these components or the nature of their interaction, and you will observe a change in outcomes.

The second thread is this. Place-based economic development theory is “de rigueur” and is the preferred approach. In essence, as many reading this article would know, it is a “long-term development strategy whose objective is to reduce persistent inefficiency and inequality in specific places through place-tailored public goods and services” (Barca, 2009). (Another approach, which has fallen out of favour, is the space-blind approach. This is where the same set of strategies and activities happen across all jurisdictions).

Now, to draw these two threads together.

Your local economy is a system and your place-based economic development strategy influences this system. Your strategy, as we have seen, is aimed at reducing inefficiency and inequality by using the goods and services you have at your disposal. Where these goods and services interact with the components of this system which you know as your local economy.

The question is this. Is your economic development strategy influencing the components of your local economy which together comprise of local innovation system? Can you define these innovation system components in your local community, and are they interacting with each other in order to bring about the benefits that flow from being a knowledge economy?

For if you are championing local inventions, supporting local research, fostering technical change in your area, and helping to stimulate learning and innovation in your community then you are developing your local innovation system. You are improving the production, distribution and application of knowledge. You are cultivating your local knowledge economy.

Application of Strategic Foresight

Even as a local knowledge economy is built, one must keep an eye on the future. There needs to be an awareness of the risks and opportunities that emerging trends may well present. For the downside of a lack of this type of awareness is that the public goods and services used to influence the local innovation system may well produce outcomes that are not conducive to exploiting prospective opportunities.

This is where strategic foresight, also called strategic thinking, comes into play. Now, invariably, when strategies are developed all the work that goes into their production answer just two questions: “what will we do?” and “when will we do it?” Where available knowledge is used to answer the first question, and matters of scheduling and impact answer the second.

However, in order to have better inputs into these two questions, the methods of strategic foresight are used to explore a range possible futures. They are a guide to exploring the risks and opportunities of emerging trends. For these methods are designed to answer the following questions:

  • What seems to be happening?
  • What might we need to do?

So, how can these two questions help in the preparation for place-based economic development strategies?

One way to answer these two “what is emerging” questions is through the use of the three horizon’s model (Curry, 2008) (below). Where the first horizon is the current time, Image - Three Horizons Modelthe third horizon is the mid to long term future, and the second or middle horizon is the period of time between the two.

That is, the first horizon is “now”, the third horizon is “to be”, and the second horizon describes the journey from “now” to “to be”. This middle horizon describes how we will get to the future.

This “now” horizon is what we currently experience. It’s how we “do things”, and, with respect to what has been talked about above, it’s how our current innovation systems operate. That is, this first horizon is made up of all of the components of the innovation system and how they currently interact.

In other words, this first horizon describes your current local knowledge economy. The third horizon describes how your local knowledge economy will look like in the future. And the middle horizon describes the transition between the two.

But what is important to note from this “three horizons graph”, is that the beginnings of how we will “do things” tomorrow are emerging today.

That is, the way your local innovation system will behave in 5 or more years is being established this year. The components of this system that you will have in the future, their interactions and the way they influence one another, are emerging now.

Implications

Where does all of this lead?

What is the relevance of the three horzions model to place-based economic development strategy? In particular, how does it relate to the local innovation system? How does all of this influence peri-urban prosperity in the knowledge economy?

The nub of this argument is what happens during the time of the middle horizon.

For it is during the transition from “now” to “what will be” that the legacy way of doing things gives way to the new way of doing things. It is in this messy middle horizon the various forces compete with each other to establish dominance in the third horizon. It’s in the short to medium term that current components of the local innovation system are replaced with new ones. Its during this transition period that the behaviour of the local innovation system changes.

And its where the tailoring of public goods and services, through place-based economic development thinking, can influence the future shape of the local knowledge economy. To paraphrase Barca (2009), the aim must be to improve the underutilisation of local knowledge economy resources by targeting strategic activities towards the production, distribution and application of knowledge.

Specifically regarding your local innovation system:

  • Either, what would you like it to look like, or what do you think it will look like, beyond 2020?
  • What inventions is your region capable of?
  • Can you shape the way research is undertaken?
  • What technical changes are either likely to happen, or that you would like to happen, in local firms over the next couple of years?
  • Is it possible for you to support new ways of learning?
  • And what emerging best practices in creating innovation can you attract to your region?

For the level of influence you have over these medium-term transitions will determine the level of prosperity that flows from the knowledge economy.

References

ABS (2011), “Australian Social Trends December 2011. Fifty years of Labour Force: Now and Then”. Australian Bureau of Statistics, Canberra
Andreesen M (2011), “Why software is eating the world”. The Wall Street Journal, August 20, 2011. Available from http://www.wsj.com/articles/SB10001424053111903480904576512250915629460
Barca F (2009). “An agenda for a reformed cohesion policy: a place-based approach to meeting European Union challenges and expectation”. Commissioner of Regional Policy, Italy
CEDA (2015), “Australia’s Future Workforce”. Committee for Economic Development of Australia, Melbourne.
Curry A, Hodgson A (2008), “Seeing in multiple horizons: Connecting Futures to Strategy”. Journal of Future Studies, Aug 2008, 13(1) pp1-20
Houghton J, Sheehan P (2000), “A Primer on the Knowledge Economy”. Working Paper #18, Centre for Strategic Economic Studies.
Meadows D (2008), “Thinking in systems: a primer”. Chelsea Green Publishing Company, White River Junction
OECD (1996), “The knowledge-based economy”. OCDE/GD(96)102, Organisation for economic cooperation and development, Paris
Soete L, Verspagen B, Ter Weel B (2010), “Systems of Innovation”. CPB Discussion Paper 138, CPB Netherland Bureau for Economic Policy Analysis, The Hague

 

This article was first published in the journal of Economic Development Australia, Spring, 2016