Scale without Mass: Business Process Replication and Industry Dynamics.
Written by;
Erik Brynjolfsson, MIT Sloan School
Andrew McAfee, Harvard Business School
Micheal Sorell, Harvard Business School
Feng Zhu, Harvard Business School
August 29, 2006
This is the first of two articles I noted earlier, that Professor Andrew McAfee co-authored. As I also indicated he writes a blog that provides some value to the entire Enterprise 2.0 term that he originally coined. I find the title they have chosen here resonates with the work we are doing here. However the title makes it is difficult to discern what they are talking about. The idea that software can be reused to replicate successful business processes across industries without the mass that would generally be involved in populating the industry with the new idea. Simply software Scales without Mass.
Application of Enterprise 2.0 principles indicates the use of Web Services. I tend to think that Web Services encompasses all the transaction processing and social network systems used within a commercial enterprise. The scope of the application that we are building is this, with the upstream energy industry as its focus the separation of the transaction processing from the content management components is not desired or functional. The two need to be available simultaneously, such that the users decisions, actions and directions are followed through on the transaction processing side of the system. I would hesitate to guess that I would be in disagreement with the authors in that I would suggest the scope of an Enterprise 2.0 application consists of more then their definition.
The authors start off with a number of case studies that they use in this research working paper. This is where I digress from their Enterprise 2.0 classification. My suggestion would be that there doesn't currently exist an Enterprise 2.0 platform operational today. The wiki's and blogs that are part of both of our definitions are possibly the limit of their case research. Nonetheless this has substantial value for review and comment in this blog. Starting off they indicate;
In a series of case studies, we find firms to more rapidly replicate improved business processes throughout an organization, thereby not only increasing productivity but also market share and market value. pp. 1I have asserted on many occasions that the upstream oil and gas industry has a high level of IT intensity. Since it is now competing on the basis of the earth sciences and engineering, this intensity will increase with the continuation of Moore's Law, and higher volumes of processors being manufactured. Denoting a golden era of abundance of processing at continually cheaper rates. Irrespective of the future processing capabilities the oil and gas firms. The industry has spent heavily in these science areas and will continue to do so. The golden era of processing power will also provide the commercial side of the energy business with new opportunities and activities that McAfee et al are discussing in this paper. If an industry's "IT intensity leads to turbulence and concentration growth" as the authors suggest then those that are able to acquire these resources and skills have secured new and expanding competitive advantages. These competitive advantages are the purpose of this development project discussed here. The faster the processes are developed, the quicker they can be rolled out to those that are able to use them. McAfee's point here is that software can scale quickly without the mass and inertia that many have grown accustomed too over the past twenty years.
We find that a positive relationship has existed since the mid - 1990's between an industry's IT intensity and its levels of turbulence and concentration growth. We hypothesis that this is the case because IT has become a means of embedding business innovation, then replicating them across an increasingly large intra-firm "footprint". Today, managers can scale up their process innovations rapidly via technology without the degree of inertia historically associated with larger firms. In other words, they can achieve scale without mass." pp. 2
When a software engineer improves a sorting algorithm in an database management program, a digital copy of that improved process can be instantly copied and included in thousands or even millions of copies of the next release of that program. pp. 4
"It is easy to see the power of replication in these purely digital domains. But economic impacts also derive from business process changes that involve technology, people and physical products. pp. 4
IT can also assist with the propagation of other types of innovation; technologies such as email, instant messaging, groupware, information portals, blogs and wikis let employees share information and ideas widely and, in many cases generate them collaboratively. Like Enterprise Information Technology (EIT), these technologies are also tools for replicating valuable business innovation, albeit ones that are less formal or structured than entire processes. pp. 6and
It is important to note that business process replication is perfectly consistent with decentralized decision rights, and with local innovation. In many cases, the myriad small innovations and improvements generated by line employees are collectively more important that any centrally conceived business process changes. pp. 7
Even with EIT, process replication can be difficult. Commercial EIT and the Internet have lowered many technical barriers, but other impediments exist. Business process design and deployment is organizationally challenging, as is the imposition of greater monitoring.and
Across these investigations, a consensus emerges that the observed failures have organizational root causes, not technical or budgetary ones. As one review of the literature concluded, "...extant empirical research supports the assertion that economic and technical considerations are unlikely to feature prominently when IT fails to deliver." (McDonagh 2001). pp. 7"Organizational root causes." Thankfully the energy industry has determined the Joint Operating Committee is their key organizational construct. This alleviates them from the onerous task that many industries will now conduct to determine what their optimal structures are. However, this does not relieve the energy industry from some serious pain nonetheless.
As difficult as intra-firm propagation of novel business processes can be, propagating them across firms is typically far more challenging. The process configuration that works well in one firm might not transfer well to one with a different culture, set of pre-existing routine, mix of incentive, asset base, and approach to human resources. Empirical research show that many beneficial managerial practices are not universally diffused across firms (Bloom and Van Reenen 2005) and highlights the importance of complementarities in explaining the difficulty of diffusion (Ichiowski et al. 1997)and
This work suggests that the boundary of the firm is a significant barrier to the diffusion of IT-enabled work changes. This conclusion is supported by research on the heterogeneity of workplace reorganizations in the presence of IT (Bresnahan et al. 2002) and by research that reveals large differences in firm - level outcomes such as productivity growth even after controlling for IT investment (Brynjolfsson and Hitt 2000). pp. 8
First, the theory asserts that while knowledge is non-rival, it is at least somewhat excludable (Romer 1990). That is, trade secrets, path dependence, intellectual property protection, and other mechanisms combine to give the generator of new knowledge the ability to at least partially exclude others from its benefits. Second, new growth theory maintains that knowledge based competition tends to become monopolistic over time (Romer 1992). Increasing returns to knowledge, a cornerstone of new growth theory, implies that leading firms will build up significant advantages over their rivals such that they become monopolies. This idea is consistent with the insight that information itself can create economies of scale because of its relative ease of replication (Wilson 1975). Monopolies are not eternal, however, because of a third stylized fact labeled "creative destruction" by Joseph Schumpeter. Competitive equilibria are repeatedly disturbed by innovation and new knowledge; consequently, new ways of working displace old ones. Outcomes and end states, as a result, become very difficult to predict (Romer 1994, Arthur 1996). One result that can be anticipated is that, as competition revolves increasingly around knowledge, Schumpeterian creative destruction becomes increasingly pronounced. pp. 9
We argue, however, that IT-based capabilities such as business process replication and standardization, monitoring, and remote collaboration are just as likely to be beneficial to larger firms.and
This hypothesis is consistent with White's speculation that "Improved technologies of managing and monitoring may have helped overcome the inherent difficulties of managing larger organizations (Williamson 1967) and thus encouraged larger enterprises" (White 2002).and
Our broad hypothesis is that because the capabilities IT delivers are valuable, difficult to acquire, and often transient, IT in recent years has become the opposite of a competitive leveler, or a "cost of business that must be paid by all but provides distinction to none" (Carr 2003). pp. 10This suggests that assets and people are all the same. Which of course is not the case. How a firm, a producer and an individual would approach the Genesys application in this context would be different in terms of their needs, skills and capabilities. I can assure you that they manner in which I use Goolge would be fundamentally different then what most people understand of the resource. I would further refute that a homogenization is progressively more difficult to carry out for sophisticated tasks. As the hardware and software concepts increase in complexity, and their speed of implementation provides those that are aware and can accommodate them, can and will accelerate their business position over those that are not as quick.
That is, the volatility of market shares increase as the total IT stock in the industry increases. pp. 12
As a result, firms are able to more rapidly and completely replicate their innovations in business processes, achieving scale without mass. Other types of IT, such as email, knowledge management systems, wikis, and instant messaging allow firms to propagate innovation that are less structured than entire business processes (McAfee 2006). IT makes it possible for better techniques and processes to become rapidly known and adopted throughout the organization. pp. 19
We show through a formal model how this process can lead to increased turbulence and concentration. In particular, competition becomes increasingly Schumpeterian as innovators are able to leverage their best practices to rapidly gain market share. At the same time, competitors and new entrants have the opportunity to more rapidly leap-frog and displace leading firms. Our model is consistent not only with the increase in productivity growth since the mid-1990's but also with the higher levels of turbulence. Furthermore, as predicted by our model, concentration levels have also increased in IT intensive industries, an outcome that is not consistent with other explanations for higher turbulence. pp.19and
Further research could also help determine the duration of IT's competitive impact. pp. 20Professor Sydney Winter had some additional comments that are in the vein of what these authors are discussing. The document is the Economics of Strategic Opportunity and these following quotations provide some guidance regarding the homogenization of an industry. (Italics for emphasis.)
The resource allocation decisions that shape the path of advancing knowledge are necessarily made, at each point of the path, on the basis of the limited knowledge then available. Surveying available knowledge from such a vantage point is like surveying a landscape on a hazy day. Some things are close enough to be seen clearly, other remote enough to be totally invisible. The intermediate conditions cover a broad range and are complex to describe. In that range, the verdict on the visibility of a particular feature depends crucially on what definition of "visible" is chosen from a range of plausible alternative. Similarly, whether something is to be regarded as "known" or not will often depend on what one chooses to mean by "known" and why one cares; ultimately it depends on the degree of indefiniteness concerning details that is regarded as consistent with the thing being "known".and
Visibility across the landscape of productive knowledge is arguably an even more complex phenomenon than ordinary visibility. A particularly complex type of haze arise from the fact that, in all sphere, practical knowledge consists in large measure of knowledge of how to try to find solutions to problems that have not previously been encountered. pp. 19
Thus, decisions near the knowledge frontier are made in the face of a lot of haziness about the details and significant uncertainty as to how the general picture will develop down the road. ... ...Thus, decisions are made in a haze that arises partly from exogenous constraints, but is partly a chosen response to a recognized trade off between thinking and doing, between analyzing prospects and making progress. pp. 20
There is a substantial theoretical literature on induced innovation, though the attention devoted to it falls far short of what it deserves. Most of it models the problem in a recognizably mainstream style, with a logic that parallels quite closely the standard analysis of choice of technique. This is unfortunate, since it means that the limitations of standard production theory are extended into a domain that could potentially afford an escape from them. Evolutionary modeling in the area has mostly been done incidental to other purposes, and has not been featured in its own right. pp. 22
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