Archive for the ‘Analysis’ Category

Chinese investments in African tech will transform the fintech landscape

A recent article brought to my attention this report on the pattern of funding experienced by fintech startups in East Africa and India with rather damning results. 90 percent of the capital invested by “Silicon Valley-style” investors went to startups, technically in East Africa, with one or more North American or European founders.

These results put an entirely different spin on more recent articles on the rise of African fintech and the millions of dollars raised by startups in Africa. Village Capital, too, has been making an effort to promote their recommendations for structural change in the ecosystem in order to enable the emergence of hundreds more fintech and DFS (digital financial services) startups deemed necessary to transform the economic landscape in Africa.

But the challenge, as framed by this snippet from the report, will remain, as it “reflects deep cultural trends in American life”, of bias, stereotyping, and inbred prejudice. So called “first world” technology such as artificial intelligence is already dealing with the problem.

China’s interest in African tech, particularly trade related such as in commerce and payments, is being noticed

Simultaneously, and recently, I came across this op-ed for the WEF making the case for why the tech sector is China’s next big investment target in Africa.

Given China’s position as a leading and rapidly accelerating technological superpower in the world, making strides especially in the fields of logistics (smart cars, drones, e-commerce) and energy (solar panels, smart metering, etc), it makes sense that the most logical industry for the next stage of Sino-Africa collaboration is technology.

But that’s not fintechs and DFS startups, you say, comparing these apples to the Village Capital’s report on oranges?

Perhaps this is why Alibaba Group, the unparalleled pioneer of e-commerce and payments in China, has started to show an interest in Africa. Not only did they collaborate with UNCTAD on the eFounders programme to train over 100 African entrepreneurs in the next couple of years, they recently announced a fund of $10 million to invest on the continent over the next 10 years. Furthermore, Alibaba’s subsidiary Ant Financial has signed a partnership with the United Nations Economic Commission for Africa and the IFC to promote digital financial inclusion. While these are preliminary steps, we are hopeful for more serious commercial involvement in Africa from a company with a $500 billion market cap.

DFS, DFI, what’s the difference between digital financial services for financial inclusion and digital financial inclusion? The target is clear. And been noticed from the other side, as this rival opinion piece in the Financial Times shows, albeit with a greater sense of urgency and panic in the tone and style. It may also explain why Village Capital woke up this week to trumpet the results of their analysis on funding patterns from over a year ago. From the FT:

The Trump administration has made a perceived global rivalry with China the centre of US foreign policy. This competitive stance has coloured the view of African countries in Washington and a tale of Chinese mercantilism in the region has come to dominate the narrative, under which China greedily demands privileged access to Africa’s natural resources in exchange for no-strings-attached infrastructure financing.

But that story is outdated and fails to capture an emergent area of true competition — that among US and Chinese tech giants.

Given what we’ve seen in the Village Capital report linked in the first paragraph, will Chinese funding patterns be any different? Two key factors are being highlighted by both sides:

Read On…

Financial Patterns at the Last Mile of the Farm to Fork Value Chain

Source: http://library.wur.nl/WebQuery/wurpubs/454661

This value web illustrates the last mile of the farm to fork agricultural value chain in the state of Maharashtra, India. We’d mapped it during our project/s for the Dutch government back in mid 2013, where we’d introduced human centered design thinking for sustainable agricultural value chain development. Subsequently, I led a multidisciplinary team conducting fieldwork in rural Kenya, in order to compare and contrast the last mile in the African context.

As mentioned previously, while the details of seasonality and crops may change due to geography, the essential foundation and framework of the farm’s financial management behaviour remained the same. And, while the actors and roles in the value web may shift and change between rural India and rural Kenya, the essence, here, too, remains the same. There are intermediaries and brokers, transporters and aggregators, and wholesalers and retailers, along with agrovets and extension agents. Everyone has a part to play in the interdependent web of value exchange, based on trusted relationships for the most part.

Therefore, their cash flows and income streams too, are closely linked to the harvest seasons and the crops, just like the farmers‘. In fact, Indian business magazines go as far as to assess the health of each year’s monsoon season in order to attempt forecasts on the annual peak of consumer activity – the post harvest festival season in the October-November period. They recognize the linkages and networks that connect the rural and urban markets, and the ripple effects of the quality of the year’s harvest. It would not be inaccurate to say that the degree of impact and influence is proportional to two related factors – the proportion of GDP from agriculture and related activities; and, the percentage of the country’s population dependent on agriculture and related activities.

Market town finances

In addition to the linkage, we have observed financial management behaviours among traders, and not just those dealing in agricultural commodities or fresh produce, that resemble those on the farm.

The factors that impact the management of working capital and income streams – uncertainty of amount and the timing of its arrival – remain the same, as do the majority of the characteristics of the operating environment, such as infrastructure and systems. A trader dealing in new clothes also sees seasonal differences in her sales, and, unlike a trader in foodstuffs, is also more likely to see greater impact of a low season as people go without the discretionary purchase of a new shirt. Thus, traders must also manage the volatility, uncertainty, and seasonality of their addressable market, and their customer base, and their cash flows and income streams accordingly. We see the impact of this in their business development strategies, and that will be the subject of the next post.

Furthermore, in market towns and border markets, unlike urban metros with a myriad of occupations, the health of the agricultural season will impact everyone in the ecosystem not just the traders themselves. The internetworked last mile of the farm to fork value web closely links the health of the harvests with that of the rural and peri-urban economies.

 

Collected Works
Work in Progress: An Introduction to the Informal Economy’s Commercial Environment – Links to organized series of articles on the topic

Rural Household Financial Management on Irregular Incomes

While all farms are not alike, and scale and variety and geography differs, the pattern of household financial management holds its fundamental logic across continents.

click to expand image

As we saw previously, an experienced farmer tends to fall somewhere in between a salaried employee and an odd job labourer in their ability to predict with any reasonable degree of accuracy when they might expect cash income to arrive and approximately how much. They are able to estimate the quantum of the crop, and when it will be ready to harvest. They may already have buyers or a market.

However, in practice, farmers rarely rely solely on these infrequent lump sums for managing their household finances – a big harvest once or twice a year, maybe three times depending on the crops and the local geography. Instead, they manage on sophisticated portfolio of investments, each maturing over different periods of time, as a way to mitigate risk, as well as smoothen out cash flows over the course of the natural year, and minimize the impact of uncertainty or shock. The drivers for these goals are the foundation for the variety of business practices observed across sectors in the informal economies of the developing world.

You will find even the humblest farmer, as long as he owns the patch of land on which his homestead is built, even if his fields may be further away, doing some or all of a combination of these activities to manage his income stream over the course of the natural year. I will explain the basics, and then give examples from different regions.

Managing A Portfolio of Investments based on “Time and Money”

The illustration above captures our attempt to map the various cash flow patterns from the farmer’s portfolio of investments. Consider each cluster of elements as a “deposit” with varying times of maturity for cashing out, as the need may be. For example, cows give milk which can be sold for almost daily cash returns, as can the eggs from chickens. The fresh produce from the kitchen garden matures far more quickly than staples such as maize or beans. And, if there is a cash crop such as tea or coffee, this may taken an entire year for the harvest to be monetized. At the same time, various farmyard animals are invested into when young, maturing over time for sale, as an emergency cushion or for earmarked expenses such as annual school fees.

Thus, over the course of the year, cash arrives in hand with varying degrees of frequency, and periodicity, thus ensuring the farm’s ability to manage regular household expenditure on a more or less regular basis, even though there are no predictable wages. Nor, is the farmer burdened with credit and debt over the time whilst waiting for her 2 or 3 major harvest seasons.

Variance in regional seasonality influences coping mechanisms

While the foundational framework of the farmstead’s domestic financial managment remains the same, regional differences due to geography, and thus seasonality, influence crop choices, number of harvests, and the details of the coping mechanisms selected by the farmer to manage her financial portfolio.

For instance, in rural Philippines, in the rice growing Visayas islands, only well situated farms benefit from three rain fed rice harvests a year whilst the majority must manage on two. Thus, farmers invest in piglets, calves, or even cull chicks for nurturing into fighting cockerels which sell for more than 10 times the price of a regular chicken. They stock firewood, coconut husk, and supplement their cash money needs through petty retail during the low season.

In rural Malawi, outside of Blantyre, the farmwife who is a member of beekeeper’s cooperative, distills traditional wine for sales 2 to 3 times a week, boosting her cash flow frequency instead of waiting for the annual honey harvest.

Minimizing volatility to enable financial planning

Thus, we can see that even under conditions of uncertainty, farmers have established the means to manage their household expenses, including periodic ones such as school fees or loan repayments, on irregular and unpredictable cash flows from a variety of sources. Their sophisticated portfolio of investments contain “deposits” that mature over varying times, for different amounts, and their planning, thus, goes into ensuring that the volatility between income and outgoing expenses is kept to a minimum.

Next, we will see how less agriculturally dependent sectors of the informal economy base their financial management patterns on the rural economy’s foundation of portfolio management.

 

Collected Works
Work in Progress: An Introduction to the Informal Economy’s Commercial Environment – Links to organized series of articles on the topic

The Mobile as a Post Industrial Platform for Social and Economic Development: Top 3 Trends in Africa

Source: CHI2007 “Reach Beyond” http://www.chi2007.org/attend/plenaries.php

Just over a decade ago, in San Jose, California, I was invited to speak as the Closing Plenary for the CHI 2007 25th Anniversary Conference. The theme was “Reach Beyond”, as this was the 25th Anniversary conference of the Computer Human Interaction society, and as the closing plenary, I was tasked with articulating the vision for the next 25 years of man machine interfaces. This was in May 2007, mere weeks before the launch of the iPhone. That’s important to note, because Apple’s little phone transformed the world of humans interfacing with computers in its own way. You must remember that back then we didn’t really send texts in the United States, and the mobile and it’s role in society had nowhere near the transformational impact it was having in the developing world. mPesa had just begun to catch attention in Kenya – particularly the Central Bank’s – and there were no such thing as apps or smartphones. This is the background and context in which I gave my talk, which sank without a trace in the history of impactful communication ;p

It was in April 2006, that I first wrote about the mobile phone as a post industrial platform, and as a driver for innovation, in its own right. Two snippets:

One of the recurring patterns I’ve been seeing of late is how mobile phones – not just the handset, but the system as a whole, have become drivers of innovation in emerging economies.
[…]
Not just in India or China; this phenomena of the handphone – freed from the shackles of state sponsored infrastructure required for landlines in the majority of these developing nations – has demonstrated its effect in improving the micro economy and providing opportunities for the entrepreneurially minded in hitherto backward regions around the world.

Today, 11 years and 4 months later, I would like to highlight the undeniable impact of the mobile platform in Africa’s development story by introducing the top 3 trends that are sweeping across the continent (and capturing global imagination) very briefly in 3 paragraphs below:

  1. Fintech solutions – Whether its mobile money transfers, instant mobile loans, or cross border payments and more complex back-end solutions; the financial services industry is being disrupted by the mobile platform, on smartphones and on feature phones. Mobile technology is rapidly becoming the default solution delivery system for the last mile of money in sub Saharan Africa.
  2. Solar power – This in turn is accelerating the rapid adoption of small solar systems for domestic energy needs in offgrid locations; a new pay as you use or “prepaid” solution for acquiring solar powered products and for charging can be seen to be launched in a yet another African country every month it seems. My favourite example is the solar powered cold room lockers that one can rent via micro mobile payments. In another year, I expect that one could replace the word “solar” with utilities, with the visible increase in solutions for potable water, and a plethora of government services shift online to the platform.
  3. Agritech – From the very basic “farmer information systems”, agritech is rapidly evolving to more nuanced and complex solution delivery via the ubiquitous phone. Whether its using the smartphone capabilities to identify the army worm pest infesting the fields, or decision support systems that let you choose the ideal species of tree to plant, given soil and drought conditions, agritech is a newly emergent megatrend on the mobile for African agriculture.

And the future, the next ten years? What will 2027 or 28 bring about? And, will we still be using the handheld device we have in our pockets right now? I can’t see it yet, but my gut tells me that easy access to powerful computing within reach of each and every one of us is something that will only be transformed but not replaced.

One (last) word: Plastics

A UN report issued on World Environment day  showed dozens of nations acting to cut plastic, including a ban on plastic bags in Kenya, on styrofoam in Sri Lanka and the use of biodegradable bags in China. via

There’s a backlash against plastics that is ongoing in many not so noticed parts of the world today. So called ‘weak’ signals from three major economies stand out for the impact in the near and emerging future of their policy shifts towards the material use of plastics.

The first is India, where a recent waste audit in Bengaluru showed that over 60% of the waste littering the streets was from non recyclable consumer product packaging by both international and domestic brands. By 2020, India will abolish all single-use plastics, and introduce a campaign against marine litter, among other things.

The EU has also moved to ban the same, and the proposal also requires EU countries to collect 90 percent of single-use plastic drink bottles by 2025 and producers to help cover costs of waste management and clean-up.

China, on the other hand, has caused consternation among nations who relied on shipping their plastics off for recycling. They’ve banned imports of contaminated waste plastic, leaving questions hanging such as “And how do you get manufacturers to design a product that is more easily recyclable.” Though I find this conversation interesting for its consistent and tone deaf externalization of the problem – waste management is certainly a developing country problem, but materials technology and consumer packaging innovation is a developed country design challenge.

With more than 50 countries waking up to the plastics problem, there’s a deeper shift occurring in the air, beyond our critical need to protect wildlife and the oceans. That of dependency on oil – in case you didn’t know, the bulk of plastic is made from oil.

Here’s a quick round up of something of things happening in these major economies with significant chunks of the world’s population.

India has just approved a massive new 5000 megawatt solar farm, and as the map shows, there’s many more out there in the desert wastes. The Chinese and Indian solar farms are 10x the size of those in North America.

The number of electric cars on the road has more than doubled over the last three years, and of the global sales of electric vehicles (EVs) last year, China contributed more than half. And there’s a shift now from blind growth towards more strategic product development, with greater impact. Numerous European marques are opening factories and R&D centers in China. And India’s doing its best to keep up.

What is going to be the impact of these moves, combined, from these three major economies on the planet? The head of Shell’s Scenarios* team has already developed a scenario called Sky “which shows that changing the ways we transport people and goods is one of the crucial steps toward the world meeting the goals of the Paris Agreement — keeping the increase in global average temperature to well below 2⁰C above pre-industrial levels.”

On a planetary scale, these trends are the future, and products and business models that do not adapt to them are going to be increasingly obsolete, or suitable only for walled gardens. The use of Fahrenheit is but one example. Conserving humanity’s collective home is far more important for all our emerging futures.

 

*Shell originally developed the concept and tools for scenario planning

How do we make a business case for an innovative concept given the data scarcity for the African mass market?

Anzetse Were writes some thoughtful points on the challenges facing private sector innovation in Kenya, and Africa. Two of her points caught my attention, in particular:

With regards to the private sector, an interesting point raised is that innovation targeting it must have a business case for adoption otherwise the innovation won’t be absorbed. Innovation must demonstrate that the short-term inconvenience of adoption will pay off in the long term.
[…]
We have a real problem with information asymmetry and data bias. [… ] strategies for market penetration and sharing cannot be rolled out since the lack of data means the private sector doesn’t know where the market sits.

While Anzetse has specifically focused on the interface between the private and the public sector with regards to innovation, the points she brings up are nevertheless a challenge for either or both parties.

Size and value of the market opportunity for an innovation when data is scarce

Investors in innovation for new and untapped markets need the numbers to make sense of the opportunity. A dollar value and estimated size of the market are among the conventional metrics used to provide evidence of a return on their investment. How substantial is it?

In the African context, the mass market where the volumes can be found tends to be heavily biased towards the informal sectors, and still for the most part based on cash transactions. Textbook approaches to sizing and valuing the market space fall short without accessible and relevant data.

A few years ago, we were faced with a similar challenge for Village Telco, a social enterprise launching an innovative ICT device for low cost voice and data communication. They had developed the Mesh Potato,  a device for providing low-cost telephony and Internet in areas where alternative access either doesn’t exist or is too expensive. It is a marriage of a low-cost wireless access point capable of running a mesh networking protocol with an Analog Telephony Adapter.

They were looking to enter the Kenyan market, with the notion that the cyber cafe industry would make the best target audience for their device. Their investors wanted to know the size and value of the market opportunity prior to launching the product in Kenya. Although this happened just over 6 years ago, Kenya had already made a name for itself as a forward looking mobile phone market unafraid of experimentation.

Our challenge was two-fold: We were to look at 2nd and 3rd tier towns, not just Nairobi and Mombasa. Village Telco was looking to connect the unconnected. And we had to estimate the size and value of the market opportunity for a sector – internet cafes – that was primarily cash based and informal, particularly given the rural and small town geography we were considering. There was little or no data available to even get a handle on the number of cyber cafes operating in Kenya.

Secondly, we had to get an idea of the price point at which the product would be acceptable to this target audience. Keep in mind that the device was wholly unknown – an innovation – and there was nothing comparable on the market.

A qualitative approach to quantitative estimation

Given that this was not a conventional research project, and time and resources were constrained to a market analysis, we designed a minimal viable market discovery phase that would permit us to gather enough insights directly from the cyber cafe operators in order to estimate the size and value, as well as recommendations for pricing and market entry.

In late 2011, Kenya’s administrative divisions were still the original provinces.

Based on population density and relative income demographics, as well as an ICT gap analysis of voice and data services – reports available through Kenyan government institutions – we planned an optimal route that maximized exposure to the types of locations Village Telco had specified whilst sampling cyber cafes across a range of infrastructure access and regional income. This coverage was completed in less than 3 weeks.

Surfacing trends through indepth open ended interviews

Where we invested our time and effort was in identifying entrepreneurial and innovative cyber cafe operators in the smaller towns and villages we visited. The vast majority of internet cafes are run as side businesses by the owners who might be white collar employees or civil servants, and often managed by employees. It was the cyber cafe owner operator who saw their business as a growth opportunity that we were seeking.They not only knew their market but had seen the opportunities to grow and expand their services.

They were able to give us an idea of the future of the cyber cafe business in their region, a rough estimate (few businesspeople are willing to openly share revenue data) of the scale of their business, and the trends in decline or growth of the types of services they offered.

Through the data gathered, we were able to estimate the high growth regions for internet cafe services – Nakuru town for instance had seen the number of cybers grow from 10 or 15 in 2007 to upwards of 50, primarily due the increase in tertiary education institutions. Kilifi, on the Coast, had seen a doubling when a local university campus opened.

At the same time, we were able to gauge the value of the opportunity space by using the proxy of the proportion of owner/operators to manager/employees – the former were more likely to be interested in the Mesh Potato than the latter.

Our route planning also provided evidence of the pathways for innovation diffusion, outwards in a hub and spoke model from the central hub of Nairobi’s business district where new electronic products landed from the manufacturing centers of Asia.

Sitting down face to face with the cafe owners and showing them the product and what it could do gave us the insight on pricing and market entry strategy. By the end of 5 weeks from start to finish, we were able to make a business case for innovation meant for a data scarce environment.

Innovation means breaking new ground

While the effort on the ground was very different from a conventional market analysis exercise due to the need to elicit information directly on the market and the product, the time and resources invested by the client were no different from an analysis based on secondary sources and accessible data flows.

The nature of the African mass market is such that pioneers entering the market will have to break new ground, not only with their products and services, but also their approach to analyzing and evaluating the business case for investment. It is not an impossible task and should not be considered a barrier to entry.

How informal financial services can lower the barriers to formal financial inclusion

Around 2 and a half years ago, I was on a short visit to Abidjan, the capital of Cote D’Ivoire as a guest of the African Development Bank. They were holding an innovation weekend for young women and men in the Francophone West African region who were interested in becoming entrepreneurs.

David O. Capo Chichi, who used to work back then for MTN, a major telco very kindly took me around the informal markets on his day off and we got to talking to market women about their financial management habits. One interesting behaviour linking the informal with the formal came to light.

An established spice seller told us she had a savings account at the bank, but accessing the bank’s services were a huge barrier – the opening times ate into her business hours and the long wait times meant loss of income from potential customers. At the same time, because she was dependent on cash income from daily sales, it was more convenient for her to put a portion of money aside on a daily basis. So what she was doing was paying a tontine collector for the service of showing up at her shop everyday and collecting her small amount of cash set aside for savings. He would hold it safely for her for a month and then she would take the total saved up amount back from him, take the day off work and go deposit it in her bank account. That was the only way she could have the flexibility and negotiability that budgeting on her irregular cash flow required and still access the benefits of a secure safe interest earning savings account at the bank.

Now today I came across this article describing a pilot program in Benin where the private susu (small small) or tontinier, such as that used by the lady in Cote D’Ivoire, have been formalized into a more secure and insured service for the same demographic of informal market women and traders. There’s even a digital component that updates the accounts via the mobile phone.

“The reality is that we can’t be everywhere, and the Susu collectors are near the population. We have to work with them and find the best business model to get them into the formal system.”

Now, this exact same model being piloted by the MFI in Benin may not apply in exactly the same way elsewhere, depending on the conditions prevalent in the operating environment, but its clear that the structures and systems in place at the formal institution can be made more flexible and negotiable – given a “human face” – by working together with the pre-existing informal financial services already in operation.

This behaviour also resembles that seen among the informal cross border traders at the Uganda/Kenya borderland. Teresia who sells clothes under a tree has established a trusted relationship with her mobile money agent. He shows up at closing time to help her transfer her cash into mPesa, thus securing it for her and saving her both time and effort through this personalized service. Though she said she had an account at the bank, it lies dormant, for the same reasons given by the spice seller in Abidjan – “Who can afford to close shop during the day to spend hours at the bank?”

Innovations aimed at increasing inclusion for financial services need not always contain a digital component for them to make a difference for the customer, and lower the barriers to adoption and usage. All it takes is a deeper understanding of the challenges and constraints of the end user in the context of their day to day life.

Why does the prepaid model work so well and what are the lessons for business model innovation?

Increasingly, employment is becoming ad hoc and flexible. The gig economy and the informal sector share a common characteristic of incomes which are irregular and unpredictable, unlike the timely wages characteristic of formal employment. Both budgeting and planning thus become a challenge when there’s no predictable paycheck to rely on. Expenses are managed against cash flows to minimize volatility, and payments with calender deadlines become a challenge in planning.

It is in this scenario that the prepaid or pay as you go model works so well for the customer, one of the reasons why its ubiquity across the developing world drives the growth of mobile phones. It puts control over timing and amount of money spent in the hands of the user, allowing them juggle voice and data purchases against available cash in hand.

Here are the lessons for business model innovation applicable for a plethora of products and services, drawn from our decade of research into the financial frameworks underlying the operating environment characterized by unpredictability and volatility, and the success of the prepaid model.

Flexibility

The prepaid model is flexible. There is no rigid requirement on the amount that can be spent, beyond the voucher values of each telcom operator, nor are there periodic calender based deadlines such as those in a monthly bill. In Nigeria, traders have been found to top up their phones multiple times a week or even the same day, yet purchasing the smallest denomination of vouchers. High frequency of small amounts is a purchasing pattern that resembles their own cash flow while trading in the informal market. They don’t want to tie up their liquidity in airtime in case cash on hand is required for business, yet their trade is clearly dependent on mobile communication hence the frequent recharges.

This flexibility built into the business model clearly puts control over timing and amounts spent in the hands of the end-user who must manage a volatile cash flow situation.

Seasonality

In addition to the daily or weekly fluctuations in cash flow experienced by gig economy workers or those active in the developing country informal sectors, there are larger variations in income level over the course of the natural year. Unlike the regularity of a monthly salary, irregular incomes rise during peak seasons, such as festivals and holidays, and plunge during low seasons. Developing country economies are more closely linked to the seasonality of agriculture, given the greater proportion of the population’s dependence on farming. Incomes can vary as much as 300% for instance, for tea farmers in western Kenya’s Kisii region. Climatic effects also have greater impact on cash flows, and the current drought in East Africa is expected to depress livestock prices in the coming half year. On the upside, seasonal peaks in consumer durable sales are predictable as the regional harvest timings are a known factor. North India’s post harvest season in late October/November kickstarts an orgy of consumer spending during the festivals and the weddings which take place during this period.

Business models designed to take expected seasonal changes into account can minimize the dropout rate of customers when their income changes.

Liquidity

One of the biggest challenges we have wrapping our heads around when considering more rural or cash intensive economies is that liquidity is not equivalent to wealth, or even purchasing power. While this factor can apply to anyone relying on multiple income streams from a variety of sources, I’ll use the example of a small farmer to explain its importance to the design of business models.

The homestead is managed like an investment portfolio, with different sources of income maturing over different durations of time over the course of the natural year. This is also why control over Timing – frequency, periodicity – of payments, such as possible in the prepaid model, is so critical for the success of payment plans. A smartphone might be purchased after the major harvest of the annual cash crop, but its the daily cash from the sale of milk that would be used for recharges (and other basic necessities). Similarly, a calf may be purchased to fatten against the following year’s school fees.

Negotiability

This leads directly to a factor more relevant to heavily informal economies where variance in systems and structures means transactions are more human centered, depending on face to face communication, trusted references, and mutual compacts rather than legal contracts to enforce agreements. Negotiability of your business model, and its close relation, reciprocity – “the give and take” – is an element missing from faceless institutions that seek to serve this demographic.

This is one reason many prefer to seek solutions outside of formal banking institutions, for example, as their opening hours might not suit the trader’s business hours. In Busia, Uganda, most women traders had established trusted relationships with a mobile money agent, many of whom would show up at the end of the work day to assist the trader in transferring the cash earning safely onto the digital wallet. And, unlike the bank, the telco’s prepaid model allows customers to “negotiate” when and how much they’ll pay within the constraints of far more flexible terms and conditions than most other models.

A farmer has “purchased” this solar panel after coming to an agreement with the shopkeeper. He will pay off the total, over time, as and when he has spare cash, and collect the panel when payment is complete. There is no interest charge. The shopkeeper has put the farmer’s name on the panel but will keep hold of the item.

The greater the span of control over timing and amounts, the greater the success of the payment plan

The prepaid model bridges the critical gap between the predictable formal structures of the large institution and the dynamic challenges of the informal. The bottomline is that the flexibility, negotiability, and reciprocity of the model are more important factors for its success than the conventional understanding of permitting micropayments in advance. Numerous consumer product marketers entering emerging markets experienced this challenge when their micropayment hire purchase models failed customers who might have to miss one or two week’s payments due to illness or other emergencies – their products were repossessed without any recourse to adjustment. Its the rigid calender schedule embedded in a payment plan that is often the barrier to a high ticket purchase than the actual price itself.

None of these factors are insurmountable with today’s technology, and the field for business model innovation for irregular income streams such as those in the gig economy or the informal sector is still wide open for disruption.

Disrupting Predictions: How Stereotypes Distort Expectations

This chart embodies some stereotypical thinking regarding the high growth opportunities now available in low income and lower middle income countries. Its from the just released World Development Report 2019’s concept note on the theme “The Changing Nature of Work”.

Where the cognitive dissonance lies is in the accompanying text which highlights the transformational capacity of digitization and its impact on the nature of work in developing countries. As this snippet shows, Kenya has been showcased as an example of such technology enabled change:Based on this, the chart’s positioning of jobs such as “mobile application developer”, “data technologist”, and even “cyber security consultant” should actually be further to the left, given that its the lower income nations where the majority of the future need will emerge from.

Even fashion designers are not spared, placed as they are in middle income countries. Lagos Fashion & Design Week has become the byword for up and coming fashion brands, sponsored heavily by the likes of Heineken. Kigali is another hotspot for fashion’s rapid growth, and the local brand “House of Tayo” reached the pinnacle of global visibility with their bespoke suit for Lupita Nyongo’s brother, worn for the Black Panther premiere.

The irony is that if this chart is used as is, without correlation to the transformations mentioned in the text, it will end up being the one thing that readers will notice when glancing through the final report. Diagrams and visuals catch our attention faster among reams of text.

Further, if these are the predictions being made, how much of the unquestioned assumptions relegate lower income nations to tourism hubs and farming? Drones are being deployed for healthcare in East Africa, and being tested for parcel delivery where transportation is scarce. Won’t drone operators and robotics engineers find jobs if these initiatives scale as planned? Its the developing countries that face greater logistics challenges, lacking the infrastructure of the developed.

There’s a strong case to be made for the redesign of this chart. It places an unfair burden on lower income and lower middle income countries, and implicitly relegates their future of work opportunities to the less skilled quadrant. Given the current and existing changes already underway, there’s a disruption waiting to happen if this is the chart that’s used for policy planning and analysis.

Connectivity, Communication, and Commerce: The 3 Cs of Africa’s Smartphone Led Future

Recent headlines touted the decline in marketshare being seen by smartphones on the African continent, and the concurrent increase in sales of basic devices. Yet a closer look shows that this shift might only be numerical due to the opening of new markets in heavily populated DR Congo and Ethiopia – first time buyers are likely to start with entry level phones.

In fact, role of smartphones in Africa is not only likely to grow and evolve over the coming 3 to 5 years but its very likely that it will be connectivity apps driving their adoption. We Are Social’s latest report shows Africa’s internet user numbers have been growing by over 20% year-on-year.

The 4th C – the Challenge of Unquestioned Assumptions and Great Expectations

With connectivity and communication, commerce was expected to take off but anyone tracking the headlines would notice the challenges faced by African e-commerce platforms. Some point fingers to connectivity as the issue, expecting to reap benefits from scale of penetration. Others point to high costs of data and devices, or challenges with completing the transaction online.

Looking at the patterns exposed by all the reports and the articles makes one wonder whether it’s the underlying assumptions and expectations that are the real problem. The untapped market is hyped out of proportion by each new entrant who rush in with their disruption to revolutionize the African consumer, only to rush back out again when the traction fails to succeed. This has been muddying the waters of what could have been a considered thoughtful opportunity to transform the social and economic landscape.

Yet its not all negative. If someone was to ask me about how connectivity and communication are driving commerce in the African context, I’d point to the plethora of informal trade in goods and services being conducted daily across social media platforms. Everyday there’s a new product or service launched with a tweet. Groups on Facebook encourage and support the entrepreneurial journey. Cryptocurrency trading is making Kenya famous as a first mover.

The difference in traction seems to be that which is self organized and organic vs that which is institutionalized and/or introduced from elsewhere. The external pressure to succeed in the same terms as that visible in the Silicon Valleys might actually be a greater barrier to the sustainable development of the African online community led commerce, increasing pressure on founders and startups with every negative headline. Maybe the lesson from the informal organic growth online is that might actually be a matter of throw the technology at them and see what emerges without lifting the lid every other second to check progress?

Maybe all that is needed is more locally relevant content, such as already being seen emerging from Nigerian and Kenyan tech blogs, rather than the imposition of metrics and heuristics from developed nation contexts.