Hard to Know Long-Term Impact of Remote Processes

Nobody knows yet the mix of positive and negative long-term impact of remote working and learning outcomes. In the short term the impact is likely deemed to be far better than expected. Many employees and employers report their belief that productivity, for example, is as good as was expected in the pre-Covid-19 setting.

The unknown issue is long-term effect on employee skill development, enculturation of new employees, innovation, applied creativity and team building. In the near term, all firms are running off of accumulated social capital: already-formed relationships, business culture understanding (“how we do things”) and social and professional networks. That is as true in the connectivity and data center business as in any other industry.

Every entity can, in the short term, sacrifice the intangibles provided by face-to-face interactions, both internally and in terms of relationships with customers and prospects. What remains untested is the long-term impact, as social capital decays. 

Consider opinions on remote learning. A recent survey by McKinsey found that, on average, teachers in all eight countries ranked online instruction at a score of five out of ten. In Japan and the United States, nearly 60 percent of respondents rated the effectiveness of remote learning at between one and three out of ten. 

source: McKinsey 

As always, “averages” can obscure big differences. In Japan, only two percent of teachers felt that online classes were comparable to learning in person; most felt it was much worse. So did most U.S. teachers. 

Just five percent of U.S. teachers agreed that online and remote instruction was as good as in-person teaching.

source: McKinsey 

Conversely, 32 percent of Australian and German teachers deemed remote learning to be as effective as in-person learning. Some 33 percent of Canadian teachers and 30 percent of Chinese teachers thought online instruction was as good as in-person teaching. 

The larger point is that the long-term impact of virtual or remote processes--ranging from education to sales--cannot yet be assessed. Results may well vary by industry, job roles and functions, worker age and experience, cultures and nations. 

Equally challenging will be an assessment of widespread hybrid or flexible work patterns. Knowledge worker or office worker productivity is notoriously hard to measure and the range of hybrid work scenarios might be quite disparate. 

Why No Telco is Likely to Become a "Platform"

Enron’s failed effort to create a bandwidth trading market similar to energy trading operations provides an insight into why it is so hard to create telco services platforms. For starters, Enron did not actually operate as a neutral third party supporting transactions. Enron actually purchased capacity from various service providers and then made that available for purchase by customers. 

It operated not so much as a bandwidth exchange but as a wholesaler. Of course, the intention was to outgrow the wholesaler function and eventually function as any other commodities market. Service providers hated the idea. 

The last thing in the world they wanted was to certify their core products as “commodities,” in the sense of “low value, low profit margin” products with little in the way of differentiation. The fear was more akin to telecom products being viewed as “lower value” sugar or flour, rather than “high value” gold or rare earth elements. 

Many would argue that the effort also failed for other reasons, apart from telco resistance. The information and network operating systems actually were not robust enough, and liquid enough, to support the hoped-for ease of transactions. Think of the value of a bandwidth exchange as “bandwidth on demand” and you get some sense of the issues. 

“Bandwidth on demand” is not ubiquitous on any single telecom network, for consumer, retail business customers or enterprises. Though a few locations, well supplied with optical fiber and virtualized network operations capabilities, might theoretically support near real time  bandwidth on demand, that is not possible at most locations. 

Something possibly closer might be feasible for the few global wide area core networks and key landing stations, internet points of presence, hyperscale data centers and key colocation centers. But even there the capabilities required to support full bandwidth on demand arguably do not exist. 

Much the same problem exists for connectivity products other than IP bandwidth, including voice, messaging and enterprise private network services. 

The issue is whether communication networks can become actual platforms, in the sense Enron envisioned it. Among the practical problems is that Enron--not the service providers themselves--would own and operate the exchange. 

It all boils down to “who makes the money” and “how” the money is made. Even when understood as a business-to-business marketplace, a bandwidth exchange, for example, a key principle is that buyer and seller transactions volume is how the platform makes money. 

Some might argue that ubiquitous communication networks are two-sided markets, as users connect to user, and telcos make more money, in some cases, based on usage volume.

But that is not the definition of a two-sided market, much less a platform. A platform does not own the resources its users buy and sell. Telcos do own their facilities and do create the products they sell directly to buyers. 

A communications service uses a traditional “pipeline” model, where a product is created by an entity and then sold to customers. So telcos are not platforms simply because the product allows entities to connect. 

The connectivity service provider revenue model consists of creating a capability and then selling that to customers. That makes a telco a user of the “pipeline” model, not the “platform” model. 

Nor is that a two-sided revenue model. All revenue comes from sales of access, subscriptions or rights of use. That is a classic one-sided pipeline model. 

As an automobile must have tires, so a communications service must offer the value a buyer seeks, which is connectivity, using one or more essential protocols and features, to the relevant locations, persons or devices. Still, the revenue model is a traditional pipeline approach: the connectivity provider owns and creates the product sold to customers.

A true platform does not own the actual products purchased using the platform, and makes money by a commission or fee for using the platform to complete a transaction. A ridesharing platform does not own the vehicles used by drivers. A short-term lodging platform does not own the rooms and properties available for rental. An e-commerce site does not own the products bought and sold using the platform. 

As always in real-world commerce, there are some hybrid models, where a platform might also sometimes act as a pipeline, when using the platform. House brands sometimes are created and sold by the operators of a platform. In such cases, the platform owner also acts as a pipeline product supplier on the platform. 

Whether a firm can act as the organizer of an ecosystem, a platform or not creates or limits business model opportunities, especially around “how” a firm earns its money. Keep in mind that most businesses, most of the time, have a “pipeline” or pipes  revenue model. 

It is not an easy analogy. Some might say the issue of who pays matters, in that regard. Some might point to new services as an area where telcos actually do operate in a two-sided market, as do media companies. 

Sales volumes and product relevance matter for any revenue model, for any firm. Additional issues, such as scale and value creation, are important for platforms. For a platform, scale leads to more value creation. For a pipeline model, scale leads to lower unit costs. 

A real platform creates value that is directly supplied by its users, rather than created by a product supplier. Recommendations, for example, add value to platform buyers and are directly created by users, not the platform or the sellers using the platform. 

Consumers and producers can swap roles on a platform. Users can ride with Uber today and drive for it tomorrow; travelers can stay with AirBNB one night and serve as hosts for other customers the next. Customers of pipe businesses--an airline, router or phone suppliers, grocery stores-- cannot do so.

Some day, efforts might again be made to create platforms for the parts of the connectivity business. It will remain a difficult challenge. Any telco hoping to become "the" platform for trading would have to be a carrier-neutral broker, and not be an owner and operator of network services in a direct sense.

By definition, that calls for a neutral third party. So it will remain difficult for any single telco to emerge as a universal platform.

Remember Enron Bandwidth Trading? That was a Proposed Platform

With the emergence of platform business models, the issue is whether telecommunications firms can act as platforms or two-sided markets. Enron tried to create such a platform in 1999.

A platform acts as a marketplace or exchange, and makes its money facilitating transactions between buyers and sellers. A platform typically does now own the actual products being purchased. 

A two-sided market facilitates transactions between buyers and sellers. In some cases, a two-sided market earns revenue from at least two parties to a transaction. A newspaper or magazine can be thought of as using a two-sided market model, earning recurring fees from subscribers and advertising from firms who want to put messages in front of those customers.

Complicating matters, some argue any two-sided market is a platform; or that any platform is a two-sided market. Others would disagree with one or both propositions. 

Some argue a two-sided market is a functional definition of a platform, bringing buyers and sellers together. Others might argue that a platform and a two-sided marketplace are not synonymous. 

Operating systems sometimes are said to be examples of platforms and two-sided markets. The OS might be a platform, but it is not a two-sided market, only a tool used to create a two-sided market. Apple’s IoS supports the AppStore, which brings together developers and users. But the OS is not itself a market. It is better considered a platform. But the point is that two-sided markets and platforms are, in fact, not synonymous. 

source: ExcellentWebWorld 

Videogame consoles, on the other hand, might be viewed both as enablers of a two-sided business model and an ecosystem, the creation of which is one common function of a platform. In an ecosystem, participants might create buyer-seller connections on either side of the platform (buyers with buyers; sellers with sellers), not just buyers and sellers. EBay or any similar marketplace provides an example of an ecosystem.

So do many other app-based platforms including ridesharing, short-term accommodations or other forms of asset sharing or rental. 

Sometimes buyers become sellers; sometimes sellers become buyers. 

True, two-sided businesses bring buyers and sellers together. The credit card market provides an example, where the cardholders and merchants are brought together in payment transactions by the third party acting as the clearinghouse. In that scenario, Visa or MasterCard act as the clearinghouse, while the two sides of the buyer-seller transaction are retailers and customers. 

Health maintenance organizations mediate transactions between patients and doctors. Many ad-supported content or media businesses are two-sided marketplaces, if not platforms. Magazines, newspapers, TV and radio stations and most programming networks or video production studies operate as two-sided markets, if not always as platforms. 

Social networks and search engines are classic two-sided markets, with advertisers and consumers being the two parties brought together by the platform, operating as a two-sided marketplace. To return to the question: can connectivity services suppliers create two-sided markets, or become platforms?

Yes and no. “Yes” as owners of media and content properties earning different types of revenue from different sets of users: earning money from consumers who buy subscriptions to content and also earning money from sellers who want access to the consumer or customer base using advertising. 

“Yes” when a connectivity provider owns a marketplace in e-commerce, ridesharing, lodging or any other product, making its money as a fee or commission on marketplace transactions. 

But “no” when referring to any connectivity service sold to either consumers or business customers. Platform operation is conceptually possible. 

The platform model was unsuccessfully promoted by Enron in 1999 when it proposed bandwidth trading exchanges, for example, Enron proposed creating a trading exchange for bandwidth purchases on the model of trading exchanges for other commodities such as corn, sugar, gold or copper. 

Were such an exchange feasible, it would allow some third party to facilitate bandwidth purchases by buyers and sellers in roughly the same manner as accomplished by any consumer e-commerce site. The platform would makes its money as a fee for facilitating such transactions, without owning any of the actual network assets. 

So far, it has proven impossible to create true platforms for connectivity services, though media operations sometimes can use two-sided market revenue models.

Telecom Revenue Recovery in Asia Pacific: How Soon?

Retail connectivity service provider revenues tend to track gross domestic product growth or contraction, so it would not be surprising to learn that the economic recession caused by Covid-19 public health measures have caused retail service provider revenue to contract, in Asia and the Pacific region. 

Always, telecom service spending tracks household income. So when income falls, telecom services spending tends to dip as well. During the Covid-19 economic lockdowns, when people were working from home, lower travel also meant lower roaming revenues, for example, though counterbalanced to some extent by higher spending on broadband access services.  

Virtually everyone expects a rebound as economic activity accelerates. So how fast will the Asia-Pacific recovery occur? It depends. Global tourism is expected to remain below pre-pandemic levels till 2023 and delay economic recovery in tourism-dependent economies, so that also is an issue. 

 source: World Bank

Among major economies of the Asia region, only China and Vietnam have followed a V-shape recovery path with output surpassing pre-COVID-19 levels in 2020, a World Bank report says.

Most of the other countries have not seen a full-fledged recovery in terms of either output or growth momentum, the World Bank says. 

By the end of 2020, output in the four other major economies had rebounded but remained on average around five percent below pre-pandemic levels, with the smallest gap in Indonesia (2.2 percent) and the largest gap in the Philippines (8.4 percent). 

 source: World Bank

As you might expect, economic contraction has been particularly severe and persistent in some of the small island economies with output in 2020, remaining more than 10 percent below pre-pandemic levels in Fiji, Palau, and Vanuatu. 

Longer term, it is possible that growth over the next decade could be as much as 1.8 percentage points lower than pre-Covid-19 projections for the region excluding China. 

Still, China and Vietnam already are on pre-Covid growth paths. Indonesia and Malaysia will be back to 2019 later levels this year. Thailand and the Philippines will do so by late 2022, the World Bank estimates. 

Connectivity service provider revenues should track those developments quite closely, with the caveat that tourism-heavy economies will take longer to recover than export-oriented economies.

40% of Pilot Industrial IoT Projects Move to Full Deployment

Few industrial internet of things projects--about 40 percent--move from proof of concept into full production, and those that do often struggle to achieve a positive ROI or business outcome while running into significant technology scaling and data integration challenges, a 451 Research report sponsored by Hewlett-Packard finds. 

That should not come as a surprise, given the high failure rates of most other large information technology projects. 

Of the $1.3 trillion that was spent on digital transformation--using digital technologies to create new or modify existing business processes--in 2018, it is estimated that $900 billion went to waste, say Ed Lam, Li & Fung CFO, Kirk Girard is former Director of Planning and Development in Santa Clara County and Vernon Irvin Lumen Technologies president of Government, Education, and Mid & Small Business. 

That should not come as a surprise, as historically, most big information technology projects fail. BCG research suggests that 70 percent of digital transformations fall short of their objectives. 

From 2003 to 2012, only 6.4 percent of federal IT projects with $10 million or more in labor costs were successful, according to a study by Standish, noted by Brookings.

source: BCG 

IT project success rates range between 28 percent and 30 percent, Standish also notes. The World Bank has estimated that large-scale information and communication projects (each worth over U.S. $6 million) fail or partially fail at a rate of 71 percent. 

McKinsey says that big IT projects also often run over budget. Roughly half of all large IT projects—defined as those with initial price tags exceeding $15 million—run over budget. On average, large IT projects run 45 percent over budget and seven percent over time, while delivering 56 percent less value than predicted, McKinsey says. 

Significantly, 17 percent of IT projects go so bad that they can threaten the very existence of the company, according to McKinsey . 

Beyond IT, virtually all efforts at organizational change arguably also fail. The rule of thumb is that 70 percent of organizational change programs fail, in part or completely.

Rational Asset Use Does Not Drive Sharing

Subscriptions are a major business theme. So are various forms of asset sharing sharing. (short-term rentals, ride sharing, bicycle rental) that monetize little-used assets. 

It often is said the car ownership paradigm is challenged by ride sharing or car sharing “since cars sit idle 95 percent of the time.” All that might be true, but also irrelevant to many consumers, whose other “owned” goods also sit idle most of the time. 

Think of showers, toilets, most of your kitchen utensils, seasonal recreational equipment, much of your clothing, most of your content (books, music, videos) or gardening equipment in areas where there is a winter. 

The point is that consumer behavior does not necessarily change because an alternative becomes available. Convenience and overall cost of ownership make ownership a favored choice even if usage statistics suggest it is more efficient to rent capabilities. 

source: Ericsson

Some 10 percent to 20 percent of urban users expect to be using ride sharing for regular commutes to work in 10 years, Ericsson surveys have found. Higher percentages expect “other people” to do so. 

In other words, respondents say they will not be ride sharing, but expect others to do so. Of course, automobiles and other vehicles are deemed useful for purposes other than getting to work. Many consumers would still want to own their vehicles for other life pursuits. 

“Renting rather than owning” as a trend will likely continue to grow. But change will not happen because higher utilization of assets is rational.

How Much 5G Revenue Lift?

A new report issued by the by BCG for the European Telecommunications Network Operators’ Association suggests new use cases enabled by 5G will generate nearly 66 percent of total “telco” revenues by 2025.

source: ETNO 

It is not entirely clear what that claim means. In the context of an argument for government financial support, it seems to suggest that “new 5G use cases” will drive overall telecommunications revenue. 

That seems unrealistic in the extreme. For starters, mobility services in Europe account for about half of total revenues. Were 5G to displace 100 percent of telecom revenues, 5G would account for about half of total revenues, best case.

Even the more-focused argument that 5G might drive 66 percent of “mobile revenues” by 2025 is plausible only if one assumes that 5G replaces most existing mobile revenue and adds substantial new fixed wireless, internet of things revenue, despite the existence of competing networks and use of premises wireless that does not necessarily create substantially higher connectivity revenues. 

Do you really believe IoT drives 35 percent of total mobile revenue by 2025? Were that the case, do you not believe revenue forecasts would incorporate that expectation? Of course, there is a rational explanation. 

Legacy telecom revenues could drop so much that new IoT revenues simply allow the industry to tread water. The larger problem is that the typical firm in the telecom industry has to expect to lose about half its current revenue about every 10 years. 

That means the mobile industry has to expect to replace about $500 billion in recurring revenue, while fixed network operators have to expect to replace $400 billion in recurring revenues, within 10 years, assuming global revenues in the $1.8 trillion range by perhaps 2025. 

Those are daunting numbers. 

source: Statista 

In Asia and much of the Pacific, mobile revenues account for something closer to 70 percent of total revenue. In the Middle East, mobile revenues account for as much as 80 percent of total revenue. In such regions, one might argue that the impact of incremental new IoT revenues could be substantial. 

source: IDATE 

But that remains a tall order. GSMA has estimated service provider IoT connectivity revenue at less than $45 billion globally by 2025. In a global business of $1.6 billion, IoT at that level would represent less than three percent of total industry revenues, but possibly six percent of mobile revenues. 

That the report is issued at all reflects the importance communications regulators have in creating and shaping the business model. It is deemed necessary, from time to time, to “remind” regulators and politicians of the economic contributions an industry makes.

In that regard, the ETNO report argues that 5G and gigabit fixed networks can provide enormous economic benefits. No surprise there. What would be surprising is an argument that no financial help is required and that 5G is such a lucrative thing that service providers cannot wait to deploy it.