Black December 2018 for equities
It is too early to say whether “Black December 2018” represents the end of the longest equity market bull-run in recent history, but it is worth noting that on Friday 21st December the Nasdaq composite index closed at 6,332.99, which was a drop of 21.9% from an all-time high of 8,109.69 on August 29th. The generally accepted definition of a bear market is a drop of at least 20% from a recent peak. World markets followed Wall Street. Japan’s Topix Index fell to its lowest level for 18 months and the pan European Stoxx 600 Index hit a two-year low. However, seasoned market observers suggest that although the average bull market tends to last for about 10 years, it does not simply die of old age, and the December 2018 market behaviour is consistent with a “maturing cycle” in which there is still room for stocks to grow. This note of optimism could encourage a continuation of a “business-as-usual” mindset in MedTech C-suites and boards of directors.
Anaemic economic growth forecasted
The outlook for the global economy in 2019 does not bring any comfort. In October 2018 the International Monetary Fund lowered its forecast for global economic growth for 2019, from 3.9% to 3.7%; citing rising trade protectionism and instability in emerging markets. In September 2018 the Organisation for Economic Cooperation and Development (OEDC) suggested that economic expansion may have peaked and projected global growth in 2019 to settle at 3.7%, “marginally below pre-crisis norms with downside risks intensifying.” The OECD also warned that the recovery since the 2008 recession had been slow and only possible with an exceptional degree of stimulus from central banks. And such support is ceasing.
Tightening of monetary policy
Global monetary policy is tightening as central banks retreat from their long-standing market support. After four years of quantitative easing (QE) the European Central Bank (ECB) has ended both its money printing program and its €2.6trn bond purchasing program. The Bank has done this just as the Eurozone growth is cooling and Europe seems to be destined for a slow relative decline, which raises concerns about the sustainability of the single currency area. Notwithstanding, some observers suggests that for the next few years capital can be reasonably safely deployed in the beer-drinking nations of northern Europe, but not in the wine-drinking countries of southern Europe; especially France and Italy, two countries at the centre of the Eurozone’s current challenges. France’s budget deficit exceeds that permitted by the EU and in the latter part of 2018 the nation’s anti-government gilets jaunes demonstrators led to President Macron promising more welfare spending than the nation can afford. This could suggest that France is on the cusp of an Italian-style debt crisis. Although these economic trends have been telegraphed for some time, after nearly a decade of a bull market and low interest rates, there seems to be some complacency in the equity markets about the risks from higher rates and elevated corporate debt. But this sentiment is expected to change in 2019.
Transformation is no longer a choice
This more uncertain global economic outlook, heightened US-China tensions, tighter monetary policy and a maturing global business cycle together with significantly changed and evolving healthcare ecosystems suggest that transformation of MedTech strategies and business models is no longer a choice but a necessity if they are to maintain and increase their market positions over the next decade.
A challenge for many MedTech companies is that they still work on dated and inappropriate systems or hierarchical processes, and too few leaders and board members fully comprehend the speed and potential impact of advanced digital technologies. Those organization with some appreciation of this are already looking to adjacent sectors for talent and knowhow that could help them evolve their strategies and business models. But such partnerships might not be as efficacious as expected. We explain why below.
Let us turn now to consider digital transformations. Data scientists and machine learning engineers are critical to any digital transformation. One significant challenge for companies contemplating such change is talent shortage, which disproportionately affects companies not use to dealing with such talent. Data scientists are aware of their scarcity value and they tend not to work in IT silos of traditional hierarchical organizations but prefer working for giant tech companies in devolved networked teams, focusing on projects that interest them.
Companies that fail to engage talented data scientists will be at a disadvantage in any digital transformation. Mindful of such challenges some MedTech companies are beginning to partner with start-ups and smaller digitally orientated companies. But this is not necessarily an answer because talent shortage also affects start-ups. The answer lies in understanding how giant tech companies recruit talented individuals. Companies like Google and Facebook are more interested in “tech savvy” individuals and less interested in formal qualifications. They tend to catch such talent with attractive internships when they are seniors in high school and juniors at university. These companies understand digital technology and have seen enough interns that they can correlate their performance on coding tests and technical interviews with their raw ability and potential rather than relying on formal qualifications as a proxy for skill.
A new and more dynamic leadership mindsets
Future MedTech leaders will not only need to have a deep knowledge of disruptive digital technologies and AI systems, but will need to have the mindset of an “inclusive networked architect” with an ability to create and develop learning organizations around diverse technologies with dispersed talent. Traditional hierarchical production mindsets, which have benefitted from business-as-usual for the past decade are unlikely to be as effective in an environment which is experiencing the impact of a significant and rapid shift in technological innovation. Sensors, big data analytics, AI, real-world evidence (RWE), robotic and cognitive automation are converging with MedTech and encouraging companies to pivot from being product developers to solution providers. This requires leaders with mindsets that reward value instead of volume and are agile enough to meet increasing customer expectations, whether those customers are payers, providers or patients.
Without leaders with informed, forward-thinking mindsets, enthused about new models of organizational structures, culture and rewards that provide greater autonomy to talented teams and individuals, MedTech companies could remain at a disadvantage in competing with other technology companies for similar talent and expertise. Future MedTech leaders must understand how work is being redefined and the implications of this for talented individuals and devolved networked teams. It seems reasonable to assume that future MedTech leaders will be generalists: executives with more than one specialism with an ability to breakdown silos and bridge knowledge gaps across organizations and develop new models of organizational structure, culture, and rewards.
Successes and failures of digital transformations
We have focused on digital transformation of traditional companies as a means for them to prosper in radically changing market conditions. Although there has been a number of successful corporate digital transformations there has also been a significant number of failures. Understanding why some succeed and some fail is important.
Successful digital transformations
One notable successful digital transformation is Honeywell, a Fortune 100 diversified technology and manufacturing company, which overcame threats from market changes and disruptive digital technologies by transforming its strategies and business models. In 2016, Honeywell’s Process Solutions Division, a pioneer in automated control systems and services for the oil, gas, chemical and mining industries, set up a new digital transformation unit to assist its customers to harness advantages from the Internet of Things (IoT) by increasing their connectivity to an ever-growing number of devices, sensors and people in order to improve the safety, reliability and efficiency of their operations. The Unit’s primary focus is on outcomes, such as reducing costs and enabling faster and smarter business decisions. Honeywell’s IoT platform called Sentience, is considered a toolkit to collect, store and process data from connected assets, offering services to analyse these data and generate insights from them to enable data-based, value-added services. Unlike similar platforms developed by Siemens and General Electric (GE), Honeywell does not sell their platform as an app, but markets data-based services predicated on its platform, which enable its customers to optimize the performance of their connected assets and improve overall production efficiency. Other corporations that have set up similar transformation units to harness the benefits of disruptive technologies include Hitachi, Hewlett-Packard, SAP and UPS.
Failed digital transformations
Perhaps the biggest digital transformational failure is General Electric (GE). In 2011, the then CEO Jeff Immelt became an advocate for the company’s digital transformation. GE created and developed a significant portfolio of digital capabilities including a new platform for the IoTs, which collected and processed data used to enhance sales processes and supplier relationships. Immelt suggested that GE had become a “digital industrial company”. The company’s new digital technology reported outcomes of a number of indices, which over time improved and attracted a significant amount of positive press. Notwithstanding, activist investors were not so enamoured, GE’s stock price languished, Immelt was replaced and the company’s digital ambitions came to a grinding halt. Other notable corporates, which tried and failed to harness the commercial benefits from disruptive technologies include Lego, Nike, Procter & Gamble and Burberry.
Digitally transformed companies outperform those that resist change
Notwithstanding, research findings published in the January 2017 edition of the Harvard Business Review suggest that digitally transformed companies outperform those that lag behind. Findings were derived from 344 US public companies drawn from manufacturing, consumer packaging, financial services and retail industries with median revenues of some US$3.4bn. Conclusions suggest that digitally transformed companies reported better gross margins, enhanced earnings and increased net income compared to similar companies, which lagged behind in digital change. “Digital technology changes the way an organization can create value: digital value creation stems from new, network-centric ways your business connects with partners and customers offering new business combinations,” say the authors of the study. Critically, the mindset of leaders is significantly linked to successful digital transitions. According to the study’s authors, “Our research indicates that these leaders approach the digital opportunity with a different strategic mindset and execute on the opportunity with a different operating model.”
Reasons for failing to transform
According to a paper published in the March 2018 edition of the Harvard Business Review there are four reasons why digital transformations fail.
- Leaders’ narrow understanding of “digital”, which is not just technology but a blend of talented people, organizational culture, appropriate machines and effective business processes
- Poor economic conditions and depressed demand for product offerings
- Bad timing. It is important that your market sector is prepared for the changes your company is proposing
- Paying insufficient attention to legacy business. “The allure of digital can become all-consuming, causing executives to pay too much attention to the new and not enough to the old”.
Business history has shown that large and established companies, which fail to respond to disruptive technologies in a timely and appropriate fashion can fail and disappear. Notable examples include America Online, Barnes & Noble, Borders, Compaq, HMV, Kodak, Netscape, Nokia, Pan Am, Polaroid, Radio Shack, Tower Records, Toys R Us and Xerox. MedTech leaders might be mindful of Charles Darwin’s hypothesis, which he describes in his book, On the Origin of Species published in 1859. Darwin suggests that “in the struggle for survival, the fittest win out at the expense of their rivals because they succeed in adapting themselves best to their environment”. Such a statement would not be out of place in a modern boardroom. It suggests that all industrial sectors need to develop to keep abreast of innovations and evolving trends. The main difference is that Darwin’s natural selection processes take millions of years, while significant changes that effect commercial businesses can take a matter of months.