Group items tagged

The original pointer to this report summary is from Jim Spohrer at http://forums.thesrii.org/srii/blog/article?blog.id=main_blog&message.id=191#M191 .

Key messages * There are three primary stakeholder groups that can guide the development of services science: academia, government and industry. Only by investing and working together in a coordinated manner can the maximum promise of services science be realised. * The global recession should sharpen government and industry's focus on services science as they seek solutions to invigorate the western economy, to make business more competitive and to learn from this latest setback. * Services science has the potential to establish a new industry of professionals (compare engineers, lawyers and computer scientists) whose expertise can be drawn upon to benefit the broader services-led economy. * The degree of human intervention required during the lifetime of an IT services contract is too high and is consequently both too expensive to be efficient and too error-prone to be effective. These shortcomings are directly related to the absence of scientific rigour in the design and delivery of these services. * IT is integral to services science, since modern service systems often have IT enablement heavily involved in service delivery. * IT service providers have the potential to benefit from services science by making their offerings more meaningful and resilient in a market that will increasingly demand more efficient service delivery. * Innovation in services delivery is at the heart of the vision for services science. The end goal should be a virtuous circle of innovation that can encourage new business opportunities and, in turn, create further innovation in the delivery of services. * Collaboration, investment and sharing of knowledge are vital to progressing services science research and development. * Significant challenges still need to be overcome to drive adoption of services science, not least of which is the complexity of aligning academic, business and governmental interests at a given moment in time. * Gove

The Royal Society has recently published the findings of a major study on the role of science in services sector innovation. Entitled Hidden Wealth: the contribution of science to service sector innovation , the report highlights the wider significance of science, technology, engineering, and mathematics (STEM) to the services sector, which makes up around three quarters of the UK economy. Hidden Wealth concludes that STEM is deeply embedded within the UK service sectors and has an extensive impact on service innovation processes, which is often hidden. Although STEM is important in services sector innovation now, it is also likely to play an important part in the future of services, as many services are on the cusp of a transition to more personalised and interconnected systems, which will require significant advances in STEM.

This report from the Royal Society was cited by Irving Wladawsky-Berger at http://blog.irvingwb.com/blog/2009/08/hidden-wealth-science-technology-and-services-innovation-in-the-21st-century.html .

Excerpt: 6.6.6 A systems-based approach to understanding services. One solution may lie in the wider adoption of systems-based approaches to understanding services. A more systematic approach to studying services should result in better design, management and understanding of services and, at the same time, provide a suitable context in which to integrate disciplines such as social sciences, management science, economics and STEM. These sorts of educational programmes may particularly benefit firms who do not require graduates with deep knowledge in one of the existing disciplines. [p. 61] However, we note that when this has been attempted in the past, as with systems science and complexity theory -- both of which have existed for several decades and have been widely applied in scientific, engineering and social science contexts -- the tendency has been for people to organise themselves into disciplinary silos, with the result that the desired new interdisciplinary approaches have struggled to impose themselves. [pp. 61-62] The emerging Service Science, Manufacturing and Engineering (SSME) or 'Service Science' concept is also intended to join up a broad range of disciplines, but is specifically concerned with ensuring that graduates are better equipped for the workplace. Service Science may ultimately help the development of multi-disciplinary capabilities but in this regard SSME programmes seem to have been slow to emerge and only partially successful to date. A more profitable approach to redesigning academic curricula and delivery (at least as far as services are concerned) may be to focus in on service design, which seeks to understand the delivery of services from a user perspective and to develop better solutions (see Box 4.3 on page 40). Developments such as the Masters course in Service Design, Management and Innovation offered by the University of Manchester Centre for Service Research might provide good models for new courses, and should be closely mon

COURSE DESCRIPTION Networked Life looks at how our world is connected -- socially, economically, strategically and technologically -- and why it matters. The answers to the questions at the top of this page are related. They have been the subject of a fascinating intersection of disciplines including computer science, physics, psychology, sociology, mathematics, economics and finance. Researchers from these areas all strive to quantify and explain the growing complexity and connectivity of the world around us, and they have begun to develop a rich new science along the way. Networked Life will explore recent scientific efforts to explain social, economic and technological structures -- and the way these structures interact -- on many different scales, from the behavior of individuals or small groups to that of complex networks such as the Internet and the global economy. This course covers computer science topics and other material that is mathematical, but all material will be presented in a way that is accessible to an educated audience with or without a strong technical background. The course is open to all majors and all levels, and is taught accordingly. There will be ample opportunities for those of a quantitative bent to dig deeper into the topics we examine. The majority of the course is grounded in scientific and mathematical findings of the past two decades or less (often much less). Spring 2010 is the seventh offering of Networked Life. You can get a detailed sense for the course by visiting the extensive course web pages from Spring 2009, Spring 2008, Spring 2007, Spring 2006, Spring 2005, and Spring 2004. This year the course will cover many of the same topics, updated in light of new research since the 2007 offering. As has become standard in the course, we plan to include communal experiments in distributed human decision-making on networks.

daviding says: A course on networks in the Arts and Sciences program at the University of Pennsylvania. The recency of references is striking.

The research presented in this volume, developed in the EC-funded Project ISCOM (Information Society as a Complex System), takes off from two fundamental premises: -- to guide innovation policies, taking account of the social, economic and geographic dimensions of innovation processes are at least as critical as the science and technology; and -- complex systems science is essential for understanding these dimensions. Online version (possibly available at http://www.springerlink.com/content/978-1-4020-9662-4 -- Table of contents -- 18 Chapters Front Matter I-IX Part 1 Introduction David Lane, Robert Maxfield, Dwight Read and Sander van der Leeuw 1-7 Part I From Biology to Society Front Matter 9-9 From Population to Organization Thinking David Lane, Robert Maxfield, Dwight Read and Sander van der Leeuw 11-42 The Innovation Innovation Dwight Read, David Lane and Sander van der Leeuw 43-84 The Long-Term Evolution of Social Organization Sander van der Leeuw, David Lane and Dwight Read 85-116 Biological Metaphors in Economics: Natural Selection and Competition Andrea Ginzburg 117-152 Innovation in the Context of Networks, Hierarchies, and Cohesion Douglas R. White 153-194 Part II Innovation and Urban Systems Front Matter 195-195 The Organization of Urban Systems Anne Bretagnolle, Denise Pumain and Cline Vacchiani-Marcuzzo 197-220 The Self Similarity of Human Social Organization and Dynamics in Cities Luis M.A. Bettencourt, Jose Lobo and Geoffrey B. West 221-236 Innovation Cycles and Urban Dynamics Denise Pumain, Fabien Paulus and Cline Vacchiani-Marcuzzo 237-260 Part III Innovation and Market Systems Front Matter 261-261 Building a New Market System: Effective Action, Redirection and Generative Relationships David Lane and Robert Maxfield 263-288 Incorporating a New Technology into Agent-Artifact Space: The Case of Control Syst

I watched the first video, and it made the U.S. social security system (mismanagement) easy to understand. Note the references: Odum, Basteson, Jantsch.

Ecolanguage introduces a few new things: (1) the use of regular motion as a part of standard grammar, and (2) the use of a visual symmetry -- the hexagonal snowflake -- to stand for an organization of any kind, at any level of nature and society. In the center, we put the ruler. Everything else is based on things which came before. By using old and new things, Ecolanguage comprises: (A) an international systems language, (B) an accelerated learning strategy, (C) an integration of important and crucial topics, and (D) a scientific philosophy, emerging from many thinkers and writers over the last century, that brings the life, social, and cognitive sciences into the same picture as the physical sciences. We put the new basics of INFORMATION and ORGANIZATION alongside the established basics of MATTER and ENERGY. Now we can represent purposiveness, intention, relationship, agreement, and belief. We can locate the position of mathematical and physical deduction within a larger picture of communication and exchange. We can indicate both analysis and synthesis, including the redundancy of parts and their transcendence into wholes. It is a picture of our perceptual framework, no matter where we look. For a fun primer on this philosophy, please watch: New Chart, for Descartes. (For the old pointers, see the following bibliography.)

SERVICE SCIENCE: RESEARCH AND INNOVATIONS IN THE SERVICE ECONOMY 2011, DOI: 10.1007/978-1-4419-8270-4

SERVICE SCIENCE: RESEARCH AND INNOVATIONS IN THE SERVICE ECONOMY 2010, DOI: 10.1007/978-1-4419-1628-0

daviding says: If software engineering is engineering, then we should also think about service engineering as engineering. This article also helps to draw some lines between engineering as applied science, and more theoretical forms of science, both in the domain of services systems and human systems.

Gerald Weinberg once wrote, "If software engineering truly is engineering, then it ought to be able to learn from the evolution of other engineering disciplines." Robert Glass and his colleagues provocatively evaluated how often software engineering literature does this.4 They concluded that the literature relies heavily on software anecdotes and draws very lightly from other engineering fields. Walter Tichy found that fewer than 50% of the published software engineering papers tested their hypotheses, compared to 90% in most other fields. So software engineering may suffer from our habit of paying too little attention to how other engineers do engineering. In a recent extensive study of practices engineers expect explicitly or tacitly, Riehle found six we do not do well. Predictable outcomes (principle of least surprise). [....] Design metrics, including design to tolerances. [....] Failure tolerance. [....] Separation of design from implementation. [....] Reconciliation of conflicting forces and constraints. [....] Adapting to changing environments. [....]

OMG™ and the International Council on Systems Engineering (INCOSE) today announced that they have agreed to work together on the development of OMG's new program to certify Systems Engineers and other practitioners on the OMG Systems Modeling Language (OMG SysML™) standard. SysML is a graphical modeling language used to perform Model-Based Systems Engineering (MBSE) - that is, to specify and design complex systems that may include hardware, information, personnel, and facilities in addition to software. The program, to be called OCSMP™ (OMG-Certified Systems Modeling Professional), will be OMG's fourth certification. OMG, an international, open membership, not-for-profit industry consortium, maintains standards for interoperability, modeling, and process maturity including the Model Driven Architecture® (MDA®) and Unified Modeling Language™ (UML®); in addition, OMG certifies practitioners in many of these standards. INCOSE is a not-for-profit membership organization dedicated to advancing the state of the art and practice of systems engineering, in part through its Certified Systems Engineering Professional (CSEP) certification program.

The hard (in the sense of difficult) part of service science is the social system side. INCOSE and OMG don't really address that. They address the hard (as opposed to soft) systems aspects, with people merely as more parts of an intrinsically engineered system (weapons system, transportation system, etc.). I applaud your diligence with respect to SysML and all that, but I hope your vision of the science of service systems is big enough to include the social side as well.

daviding says: I was thinking about (output) coproduction and (value) cocreation, and came across these proceedings, which includes a short article by Rafael Ramirez and Ulf Mannervick on "Designing value-creating systems".

Essay Archive Edited by Lucy Kimbell and Victor P. Seidel, collected in this innovative and highly illustrated volume are findings from the designing for services project. Particular focus is on the practices of an emerging discipline of service design grounded in the arts and humanities. Three case studies in which service design companies worked with science and technology-based enterprises are discussed, from a range of academic perspectives.

SERVICE SCIENCE: RESEARCH AND INNOVATIONS IN THE SERVICE ECONOMY 2011, DOI: 10.1007/978-1-4419-7904-9

At one time, the belief was that services-ranging from healthcare to retail, from banking to education-were the exclusive domain of local providers and were therefore impervious to foreign competition. Because they required direct interaction with customers, service providers needed to be located where their customers were (Bryson et al. 2004). This belief-along with many others associated with service activities requiring direct customer interactions-is no longer true because information technology has fundamentally changed the way many services are now designed and delivered (Karmarkar 2004). In this editorial, we introduce a framework for service managers that shows how advances in technology are continuing to change the way service providers and their customers interact; how both providers and customers access resources and unlock their capabilities in the co-creation of value. We also identify some major challenges confronting today's service managers who are competing in a rapidly changing global knowledge economy. Their success in addressing these challenges requires increasingly sophisticated management techniques that continue to focus on creating value for both direct and indirect customer-provider interactions.

daviding says: If the foundation of the system is in entropy rather than equilibrium, we'll need to figure out how exchange-based societies work, and the function of money (as information, in a general theory of systems).

The specific purpose of this paper is to trace the development of entropy-related thought from its thermodynamic origins through its organizational and economic applications to its relationship to money information. That trace reveals that existing entropy measures are of states or changes in states that are caused by energy processes. We propose that entropy may as well be conceived as entropic process. The social emergent specific exchange value provides a metric by which entropic process may be quantified. The analysis connects the traditional state-oriented entropy measures to measures of entropic process in social systems. In doing so, the character of exchange-based societies and the function of money information within them are elaborated.

11. How is ontology different from object-oriented modeling? An ontology is different from object-oriented modeling (represented in UML) in several ways. First, the most profound difference is that the ontology technology is theoretically found on logic. While ontology allows automated reasoning or infer ence, object-oriented modeling does not. Another difference is the treatment of properties; while the ontology technology treats properties as the first-class citizen, the object-oriented modeling does not. That is, while the ontology technology allows inheritance of properties, the object-oriented modeling does not. While the ontology technology allows arbitrary user-defined relationships among classes (a type property), the object-oriented modeling limits the relationship types to the subclass-superclass hierarchical relationship. While the ontology technology allows adding properties to relationships such as symmetry, transitivity, and inversion so that they are used in reasoning, the object-oriented modeling does not. While the ontology technology allows multiple inheritances among classes and also among properties, the object-oriented modeling allows only single inheritances. Despite theses differences, object-oriented modeling and UML are accepted as a practical ontology specification, mostly because of their wide-spread use in industry and the multitude of existing models in UML. There is an on-going effort to add logic capability to object-oriented modeling, represented by OCL (Object Constraint Language).

daviding says: To improve our understanding of the science of service systems, I think that we need to get to the level of ontology vocabulary ... and probably no higher. SysML has features that UML doesn't ... which doesn't mean good or bad, just different.

We introduce the concept of structural analysis of a business enterprise. The practice of enterprise structural analysis amounts to the construction of an enterprise model using business entities defined in an enterprise ontology or enterprise architecture and creating specific views of the enterprise based on relationships among the entities. As we demonstrate through a simple yet illustrative example of a hypothetical coffee shop business, these views can provide many insights and points of analysis. Structural analysis provides an interactive, analytical environment for a user to view an enterprise from multiple perspectives, an approach not unlike On-Line Analytical Processing (OLAP) but for analyzing the qualitative or structural aspects of the enterprise.

daviding says: This article describes business entities, and works concretely through an example with activities, resources and organization in a coffee shop.