Service Science & Service Innovation

A wide range of service science related courses, undergraduate, and masters degree programs exist at universities around the world.

For example, Paul Maglio’s service science course at UC Merced [1].

Service science is integrated into service programs with many different names and was defined in US Congress America COMPETES Act in 2007 [2]

Service operations, service systems engineering, service design and service marketing programs also teach about service science [3].

IBM compiled a list of 500+ programs in 2009, and then stopped tracking them [4].

ISSIP could go after tracking and promoting the development of these programs again [5].

Both the growth of the service sector and online service (platform economy) are increasing demand for service science programs, courses, and degree programs. The demand for service science is driven by both economic growth and technological innovation.

Service innovation continues to be technology-driven, and truly aiming for enterprise transformation (digital transformation, every person with 100 digital workers to command), not simply enterprise automation [6].

Nevertheless, digital age service innovation is most transformative when institutions and business models change according to a Service-Dominant Logic world view or lens; thus allowing people to see the world differently, both its ecosystem opportunities and challenges [7].

Service system entities are responsible entities (such as people, families, businesses, universities, cities, regional governments). Being responsible means becoming more conscious and explicit about learning investments. All responsible entities are constantly learning (AKA “upskilling”) by tacitly investing in exploration (doing things in new ways) and exploitation (doing things in habitual, entrenched, routine ways) [8].

The practice of service science is the process of building a Service Innovation Roadmap (SIR) for each entity. A SIR summarizes a responsible entities’ learning investments, or plan for “upskilling” [9].

A SIR is a practical thing – a kind of Business Model Canvas for learning investments that responsible service system entities make. Furthermore, we divide the types of investment into three parts (1) Run (individual habits, enterprise routine operations), (2) Transform (copy best strategies from other entities, largely by finding high performing individual role models and/or enterprise competitors and following in their strategic footsteps or path), (3) Innovate (invent your own new best strategy or best practice) [10].

The tool of service science is complexity economics; modeling entities and their changing strategies. Complexity economics models and runs simulations to see what possible futures might exist, when strategic interactions are driving change. Policy can then be invented to make some possible futures more likely than others. However, because entities change their strategies as they are interacting, predicting the future is not possible [11].

References

[1] UC Merced – https://ssha.ucmerced.edu/academics/undergraduate-programs/minors/service-science

[2] America COMPETES ACT! https://www.congress.gov/110/plaws/publ69/PLAW-110publ69.pdf

SERVICE SCIENCE DEFINED.—In this section, the term ‘‘service science’’ means curricula, training, and research programs that are designed to teach individuals to apply scientific, engineering, and management disciplines that integrate elements of computer science, operations research, industrial engineering, business strategy, management sciences, and social and legal sciences, in order to encourage innovation in how organizations create value for customers and shareholders that could not be achieved through such disciplines working in isolation.

[3] NUS Service Marketing – https://bizfaculty.nus.edu.sg/faculty-details/?profId=103 – Service Marketing, Prof. Jochen Wirtz (NUS, Singapore) has one of the top textbooks -Services Marketing – People, Technology, Strategy (World Scientific, 8th edition, 2016)

[4] SSME Wikipedia article history section lists some tracked by IBM – https://en.wikipedia.org/wiki/Service_science,_management_and_engineering

[5] Proposed ISSIP initiative – https://service-science.info/archives/5197

[6] Schwarz S, Durst C, Bodendorf F (2012) Service Innovation-A Roadmap for Practitioners. Service Science and Management Research. 2012 Dec 1;1(1):8-16. URL: https://www.academia.edu/27930617/Service_Innovation_A_Roadmap_for_Practitioners?auto=download&email_work_card=download-paper

Roose K (2021) The robots are coming for Phil in accounting. New York Times March 6, 2021, 5:00 a.m. ET. URL: https://www.nytimes.com/2021/03/06/business/the-robots-are-coming-for-phil-in-accounting.html

New York Times “The robots coming for Phil in accounting” … “Workers with college degrees and specialized training once felt relatively safe from automation. They aren’t.” … “Jason Kingdon, the chief executive of the R.P.A. firm Blue Prism, speaks in the softened vernacular of displacement too. He refers to his company’s bots as “digital workers,” and he explained that the economic shock of the pandemic had “massively raised awareness” among executives about the variety of work that no longer requires human involvement.”… “A digital worker,” he said, “can be scaled in a vastly more flexible way.” 

Rouse WB, Spohrer JC(2018) Automating versus augmenting intelligence, Journal of Enterprise Transformation. URL: DOI: 10.1080/19488289.2018.1424059

[7] Peters C, Maglio P, Badinelli R, Harmon RR, Maull R, Spohrer JC, Tuunanen T, Vargo SL, Welser JJ, Demirkan H, Griffith TL, Moghaddam Y (2016) Emerging digital frontiers for service innovation. Communications of the Association for Information Systems: CAIS. 2016;1(39):online. URL: https://www.alexandria.unisg.ch/248801/1/JML_565.pdf

Barrett M, Davidson E, Prabhu J, Vargo SL (2015) Service innovation in the digital age. MIS quarterly. 2015 Mar 1;39(1):135-54. URL: https://aspace.repository.cam.ac.uk/bitstream/handle/1810/266997/MISQ-paper.pdf?sequence=1&isAllowed=y

Vargo SL, Lusch RF. Institutions and axioms: an extension and update of service-dominant logic. Journal of the Academy of marketing Science. 2016 Jan 1;44(1):5-23. URL: http://ww.w.sdlogic.net/uploads/3/4/0/3/34033484/vargo_lusch_2016_jams.pdf

Akaka MA, Koskela-Huotari K, Vargo SL (2019) Further advancing service science with service-dominant logic: Service ecosystems, institutions, and their implications for innovation. InHandbook of Service Science, Volume II 2019 (pp. 641-659). Springer, Cham.

[8] March JG (1991) Exploration and exploitation in organizational learning. Organization science. 1991 Feb;2(1):71-87. URL: http://www-management.wharton.upenn.edu/pennings/documents/March_1991_exploration_exploitation.pdf

[9] Service Innovation Roadmaps (SIR) initially described in the Cambridge report – IfM & IBM (2010)

IfM & IBM (2010) Succeeding through Service Innovation. IfM (Institute for Manufacturing, Cambridge University) URL: https://www.ifm.eng.cam.ac.uk/uploads/Resources/Reports/080428cambridge_ssme_whitepaper.pdf

Practically speaking, a Service Innovation Roadmap (SIR) is a business model canvas for upskilling, or more technically the Run-Transform-and-Innovate investments in learning made tacitly or explicitly by a responsible service system entity. URL: https://en.wikipedia.org/wiki/Business_Model_Canvas

World Economic Forum reports on Upskilling and Skills

WEF Upskilling for shared prosperity – https://www.weforum.org/reports/upskilling-for-shared-prosperity

WEF Standard Language for Skills – http://www3.weforum.org/docs/WEF_Skills_Taxonomy_2021.pdf

[10] Moore GA (2011) Escape Velocity: Free Your Companies Future From the Pull of the Past. Harper Business. URL: https://www.amazon.com/Escape-Velocity-Free-Companys-Future/dp/0062040898

IBM’s approach to Run-Transform-Innovate used from 2000-2010 is documented in Sanford and Taylor (2006)

Sanford LS, Taylor D (2006) Let go to grow: Escaping the commodity trap. Pearson Education. URL: https://www.amazon.com/Let-Go-Grow-Escaping-Commodity-ebook/dp/B004V9O7U0/

The way families and individuals can find a role model and succeed is documented well in the Hunter Hastings podcast with Maurico Miller – who also wrote a book on the topic.

Hastings H and Miller M (2021) Mauricio Miller: Entrepreneurship as the Path Upwards from Anywhere, for Anyon‪e‬. Economics for Business Apple Podcast Feb 22, 2021 URL: https://podcasts.apple.com/us/podcast/economics-for-business/id1453233518

Miller ML (2017) The Alternative: Most of what you believe about poverty is wrong. Lulu Publishing Service. URL: https://www.amazon.com/Alternative-Believe-About-Poverty-Wrong/dp/1483472256

[11] Arthur WB (2021) Foundations of complexity economics. Nat Rev Phys (2021). https://doi.org/10.1038/s42254-020-00273-3

CFP: ISM 2021

International Conference on Industry 4.0 and Smart Manufacturing
Upper Austria University of Applied Sciences – Hagenberg Campus – Linz, Austria
17-19 November 2021
Call for Papers

See note from the organizers to ISSIP-ers below too…

Over the past few years, the growing and intensive development of information technology in the manufacturing industry has led to a significant change in the methods and tools supporting the factories of the future. The hot topics around Industry 4.0 and smart manufacturing aim at the digital and organizational transformation of traditional factories and industrial systems as well as several other sectors. The International Conference on Industry 4.0 and Smart Manufacturing (ISM) provides the perfect setting and a unique opportunity for knowledge exchange, the review and discussion of theoretical advances, research results, and industrial experiences, among scientists, researchers, decision makers, practitioners and students.

The ISM 2020 Conference Proceedings will be published as a dedicated issue of the Elsevier Procedia Computer Science (CiteScore 2019: 1.48). Launched in 2009, Procedia Computer Science is an electronic product focusing entirely on publishing high quality conference proceedings. Procedia Computer Science is Open Access and indexed in Scopus, thus providing maximum exposure for your work. For authors publishing in Procedia Computer Science, accepted manuscript will be governed by CC BY-NC-ND license.

For more information – see conference website

IMPORTANT DATES

Special Session/Open Track Proposal Deadline 30 April 2021

Full Draft Paper Submission Deadline 31 May 2021

Notification of Acceptance & Review Reports 31 July 2021

Camera-ready Paper Submission Deadline 15 September 2021

Final Notification 30 September 2021

Note from the organizers

Dear ISSIP-ers and colleagues,

we are glad to invite you to the 2021 edition of the International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021 – http://www.msc-les.org/ism2021/) organized by the University of Calabria (Italy) in collaboration with the Upper Austria University of Applied Sciences next 17-19 November 2021.

Having ISSIP as Scientific Partner, in the past editions (the last one was virtually held due to the pandemics), the ISM conference was not only an opportunity to meet and network, but also to discuss and exchange knowledge on the comprehensive topics of Industry 4.0 and Smart Manufacturing. Thanks to B2B meetings open to academic people too, organized in collaboration with the European Enterprise Network, the conference was also an opportunity to meet and start new collaboration/partnerships with different companies around the globe.

From a scientific point of view, despite the pandemics, the conference has been growing rapidly. ISM 2021 proceedings are published on Elsevier Procedia Computer Science, while ISM 2020 proceedings are part of Elsevier Procedia Manufacturing. This publications give authors full exposure of their work, that is available on ScienceDirect, Open Access and indexed on SCOPUS. Also this year, we are renovating our partnership with Elsevier and organizing several Special Issues on top-ranked International Journals to give authors the possibility to extend the work. Therefore, we kindly invite you to submit an article to the ISM conference according to the guidelines available at http://www.msc-les.org/ism2021/call-for-papers/.

Among other initiatives, a Service Innovation Best Paper Award is assigned by ISSIP (Int. Society of Service Innovation Professionals) to the best paper presented at ISM dealing with promoting service innovation in industry and in our world by large. To this end, we thank Yassi Moghaddam and Jim Spohrer for serving in the Award Selection Committee and provide their valuable expertise to the conference.

Our team is strongly open to collaboration and teamwork, therefore we also invite you to join the International Program Committee, propose Open Tracks or Special Sessions on specific topics. Discover the benefits and opportunities at http://www.msc-les.org/ism2021/about/#topics or do not hesitate to contact us.

Here below next deadlines:
Special Session/Open Track Proposal Closure: April 30th, 2021
Full Paper Submission Deadline: May 31st, 2021

Feel free to forward and spread this invitation within your groups or among your colleagues that might be interested.

We remain at your disposal in case you need additional information.

Sincerely,

Francesco Longo
ISM General Co-Chair
f.longo@unical.it

Antonio Padovano
ISM Program Co-Chair
antonio.padovano@unical.it

SSME

Broken links

Definition of Service

“https://en.wikipedia.org/w/index.php?title=Business-to-consumer_electronic_commerce&action=edit&redlink=1” -> “https://en.wikipedia.org/wiki/Business-to-business#Comparison_with_B2C” -> (outsourcing in electronic commerce contexts (both b2b and b2c))

Toward a Science of Service

“https://www.research.ibm.com/university/” -> “https://web.archive.org/web/20100502114848/http://www.ibm.com/developerworks/spaces/ssme” or “https://researcher.watson.ibm.com/researcher/view_group.php?id=1230” -> (IBM relabeled its initiative in this area Service Science, Management, and Engineering to highlight the interdisciplinary nature of the effort.)

References

“http://gradworks.umi.com/33/37/3337048.html” -> “https://web.archive.org/web/20150212011052/http://gradworks.umi.com/33/37/3337048.html” -> (“Choudaha, Rahul “Competency-based curriculum for a master’s program in Service Science, Management and Engineering (SSME)“, “Doctoral dissertation, University of Denver (2008)”)

SSME

The SSME article on Wikipedia has fallen into disrepair, too many broken links, not concise and encyclopedic in style.

Below is an archive of the starting point.

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”’Service science, management, and engineering”’ (”’SSME”’) is a term introduced by [[IBM]] to describe service science, an interdisciplinary approach to the study, design, and implementation of [[service system]]s – complex systems in which specific arrangements of people and technologies take actions that provide [[Value (economics)|value]] for others. More precisely, SSME has been defined as the application of science, management, and engineering disciplines to tasks that one organization beneficially performs for and with another.

Today, SSME is a call for academia, industry, and governments to focus on becoming more systematic about innovation in the service sector, which is the largest sector of the economy in most [[industrialized nation]]s, and is fast becoming the largest sector in [[developing nation]]s as well. SSME is also a proposed academic discipline and research area that would complement – rather than replace – the many disciplines that contribute to knowledge about service. The interdisciplinary nature of the field calls for a curriculum and competencies to advance the development and contribution of the field of SSME.Choudaha, Rahul [http://gradworks.umi.com/33/37/3337048.html “Competency-based curriculum for a master’s program in Service Science, Management and Engineering (SSME)”], “Doctoral dissertation, University of Denver (2008)”

==Definition of service==
In national economic statistics, the service sector is often defined as whatever is not agriculture or manufacturing ([[service sector|service sector – tertiary sector of the economy]] ([[Colin Clark (economist)|Colin Clark]])). Intuitively, services are processes, performances, or experiences that one person or organization does for the benefit of another – such as custom tailoring a suit, cooking a dinner to order, driving a limousine, mounting a legal defense, setting a broken bone, teaching a class, or running a business’s information technology infrastructure and applications. In all cases, service involves deployment of knowledge, skills, and competences that one person or organization has for the benefit of another (Lusch & Vargo), often done as a single, customized job. And in all cases, service requires substantial input from the customer or client (Sampson) – how else could your steak be customized for you unless you tell you waiter how you want it prepared? In general there are so-called front-stage and back-stage activities in any business transaction – front stage being the part that comes in contact with the customer and back stage being the part that does not (Teboul). Service depends on having a high degree of front-stage activities to interact with the customer, whereas traditional manufacturing requires very little customer input to the production process and depends almost entirely on back-stage activities.

”’There are many definitions of service in the literature. Here are a few:”’

{|border=”1″ style=”background:#ccffff”
|-
|
* Services are economic activities offered by one party to another, most commonly employing time-based performances to bring about desired results in recipients themselves or in objects or other assets for which purchasers have responsibility. In exchange for their money, time, and effort, service customers expect to obtain value from access to goods, labor, professional skills, facilities, networks, and systems; but they do not normally take ownership of any of the physical elements involved. LOVELOCK & WIRTZ, “Services Marketing: People, Technology, Strategy,” 6/e; (Upper Saddle River NJ: Prentice Hall 2007).
* A service is a time-perishable, intangible experience performed for a customer acting in the role of a co-producer. FITZSIMMONS & FITZSIMMONS “Service management”. (New York, NY: McGraw-Hill 2003).
* Service [is] the application of specialized competences (knowledge and skills), through deeds, processes, and performances for the benefit of another entity or the entity itself. LUSCH & VARGO, “The Service-Dominant Logic of Marketing”. (Armonk, NY: ME Sharpe. 2006).
* Service is a process of transformation of service consumer’ needs by utilizing necessary resources, in which dimensions of consumer experience manifest themselves in the themes of a service encounter or service encounter chain. (Editorial: We Must Rethink Service Encounters, INFORMS Service Science, Vol. 5, No. 1, 2013)
|}

Historically, service scholars emphasized customization, but the world is changing. One of the contributions of SSME may be to help service managers to achieve standardization and its more sophisticated sibling, assembly of standardized modular service elements in several “customizable” but highly predictable permutations. Many customers seek and value standardization because it reduces variability and usually helps bring prices down. Services in the digital economy employ standardization and mass customization. A new service definition might focus on the technical nature of modern-day service, rather than on explaining away why service productivity is not doing as well as manufacturing, so that we can do something to advance the service economy.

Not all services require substantial input from the customer – one of the motivations for outsourcing in [[electronic commerce]] contexts (both [[business-to-business electronic commerce|b2b]] and [[business-to-consumer electronic commerce|b2c]]) is to hire another person or organization to do work that an individual or corporate entity doesn’t want to do (or lacks the skills, knowledge, physical capabilities or equipment to perform). Particularly in areas such as maintenance, cleaning, and repair, the customer’s goal may be to become involved as little as possible, preferring to leave it to the experts to determine what needs to be done. In such instances, the front-stage is pretty small. Yet when teaching service, there’s a risk of spending too much time on discussing the high-contact, customizable services that we enjoy using ourselves and not nearly enough in studying and researching the more “boring” but fast growing areas in b2b where much of the action is highly repetitive, often substantially automated, and takes place primarily behind the scenes.

==Service systems==

“[[Service system]]” is a term that frequently appears in the [[service management]], service operations, [[services marketing]], [[service design]], and service engineering literatures.

Service involves both a provider and a client working together to create value. A doctor interviews a patient, conducts some tests, and prescribes some medicine – the patient answers the questions, cooperates with the tests, and ingests the medicine faithfully. Perhaps technologies and other people are involved in the tests or in the assignment and filling of prescriptions. Together, doctor, patient, others, and technologies co-create value – in this case, patient health. These relationships and dependencies can be viewed as a system of interacting parts. In many cases, a service system is a complex kind of system – a system in which the parts interact with each other in a non-linear manner. As such, a service system is not only the sum of its parts; complex interactions between the different parts create a system which behaves in a difficult-to-predict set of patterns. In many cases, a main source of complexity in a service system is its people: the client, the provider, or other organizations.

Service systems are designed and constructed, are often very large, and, as complex systems, they have emergent properties. This makes them an engineering kind of system (in MIT’s terms).{{cite web|title=MIT Engineering Systems Division|url=http://esd.mit.edu}} For instance, large-scale service systems include major metropolitan hospitals, highway or high-rise construction projects, and large IT outsourcing operations in which one company takes over the daily operations of IT infrastructure for another. In all these cases, systems are designed and constructed to provide and sustain service, yet because of their complexity and size, operations do not always go as planned or expected, and not all interactions or results can be anticipated or accurately predicted.

As the world becomes more complex and uncertain socially and economically, a computational thinking approach has been proposed to model the dynamics and adaptiveness of a service system, aimed at fully leveraging today’s ubiquitous digitalized information, computing capability and computational power so that the service system can be studied qualitatively and quantitatively. {[https://pubsonline.informs.org/doi/10.1287/serv.1.1.42 Qiu, R., Computational Thinking of Service Systems: Dynamics and Adaptiveness Modeling]}

==Toward a science of service==
There is a long history of academic and industrial interest in the service sector – starting with [[Adam Smith]] and continuing right up to the present day. Yet most such interest in service has focused narrowly on marketing or management or economics. With the rise of [[Web Services|technology-enabled services]], many traditionally manufacturing-based companies have begun to see more and more revenue generated by service operations. So in industry, there was a growing recognition that service innovation is now as important – if not more important than – technology innovation. Yet, service innovation is generally unknown (save for a few economists studying the relationship between investment and innovation in service industries; e.g., GADREY & GALLOUJ).

The key to service science is interdisciplinarity, focusing not merely on one aspect of service but rather on service as a system of interacting parts that include people, technology, and business. As such, service science draws on ideas from a number of existing disciplines – including computer science, cognitive science, economics, organizational behavior, human resources management, marketing, operations research, and others – and aims to integrate them into a coherent whole. In fact, IBM relabeled its initiative in this area [http://www.ibm.com/university/ssme Service Science, Management, and Engineering] to highlight the interdisciplinary nature of the effort. HP has created the [http://www.services-sciences.org Centre for Systems and Services Sciences] for the same reason. Oracle Corp. working with IBM, joined in creating an industry consortium called the [http://www.thesrii.org Service Research and Innovation Initiative] focused on establishing what it calls “service science” as both a key area for investment by companies and governments and as a full-blown academic discipline.

The NESSI (Networked European Software and Services Initiative) group in the European Union has established a [https://web.archive.org/web/20070929042347/http://www.nessi-europe.com/Nessi/Workinggroups/HorizontalWorkingGroups/ServicesSciences/tabid/244/Default.aspx Services Sciences Working Group.]

Definitions of ‘service science’ can be misleading. An analogy can be made with Computer Science. The success of CS is not in the definition of a basic science (as in physics or chemistry for example) but more in its ability to bring together diverse disciplines, such as mathematics, electronics and psychology to solve problems that require they all be there and talk a language that demonstrates common purpose. Services Science may be the same thing – just bigger – as an interdisciplinary umbrella that enables economists, social scientists, mathematicians, computer scientists and legislators (to name a small subset of the necessary disciplines) to cooperate in order to achieve a larger goal – analysis, construction, management and evolution of the most complex systems we have ever attempted to construct.

Universities have begun to act on the need for service science or SSME as well. For instance, UC Berkeley created an [http://ssme.berkeley.edu SSME program]. And North Carolina State University created an [http://poole.ncsu.edu/mba/concentrations/services-management/ MBA track] for service and a computer engineering degree for services as well. In both cases, the schools recognize the interdisciplinary character of the field and incorporate content from a variety of disciplines. Other schools with interdisciplinary interests in SSME include [http://www.cbs.dk/uddannelse/kandidatuddannelser/candsoc-msc-in-social-science/msc-in-social-science-in-service-management Copenhagen Business School],[http://www.cmu.edu Carnegie Mellon University], [https://archive.today/20080725134720/http://ssme.rhsmith.umd.edu/ University of Maryland], [http://wpcarey.asu.edu/csl Arizona State University], [http://niu.edu Northern Illinois University], [http://ssme.soe.ucsc.edu UC Santa Cruz], [https://archive.today/20121212065551/http://www.cob.sjsu.edu/ssme San Jose State University], [https://web.archive.org/web/20070310052217/http://dsl.cs.usu.edu/cisc.html Utah State University], [http://www.dses.rpi.edu RPI], [[University of Manchester]], [[Helsinki University of Technology]] (now as [[Aalto University]]), [http://www.usyd.edu.au/news/84.html?newsstoryid=1651 The University of Sydney], [http://www.urjc.es/en/academics/624-ciencia-gestion-e-ingenieria-de-servicios Rey Juan Carlos University in Spain], [http://www.ksri.kit.edu/english/index.php Karlsruhe Institute of Technology], [https://web.archive.org/web/20090718121208/http://www.comp.nus.edu.sg/newsroom/article170308/index.shtml National University of Singapore], [http://www.sis.smu.edu.sg/programme/SSME/index.asp Singapore Management University], [http://ssme.fi.muni.cz/ Masaryk University], [http://www.mages.unimib.it/ University of Milano Bicocca], an MBA in Services Sciences, Management And Engineering at [https://archive.today/20091217192824/http://liss.ulusofona.pt/index.php/component/content/article/20 Lusofona University – Information Systems School (Portugal)], Design And Engineering Services at [http://www.ead.senac.br/graducao/tecnologia-em-gestao-de-tecnologia-da-informacao/#aba3 Senac University Center] (Brasil), [http://iss.unige.ch Geneva University] and an MBA at [https://web.archive.org/web/20140418203112/http://www.iss.nthu.edu.tw/bin/home.php?Lang=en Institute of Service Science National Tsing Hua University].

Academic publications in SSME are also starting to appear. For instance, see the special issue of the [http://portal.acm.org/toc.cfm?id=1139922&coll=ACM&dl=ACM&type=issue&idx=J79&part=magazine&WantType=Magazines Communications of the ACM focused entirely on service science] and IEEE Computer [http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/mags/co/&toc=comp/mags/co/2007/01/r1toc.xml&DOI=10.1109/MC.2007.33 Steps Toward a Science of Service Systems].
For a framework for service ontology evaluation see.{{cite journal |author=Deb, B. |title=Towards a Framework for Service Ontology Evaluation |journal=International Journal of Computer Applications |volume=48 |issue=5 |pages=12–15 |year=2012 |doi=10.5120/7343-9986|doi-access=free }}

==Service Science==
Service is people-centric, truly societal, cultural, and bilateral. The type and nature of a service dictates how service should be designed and delivered, which accordingly determine how a series of service encounters should occur throughout its lifecycle. The type, order, frequency, timing, time, efficiency, and effectiveness of the series of service encounters throughout the service lifecycle determine the quality of services perceived by customers who purchase and consume the services.

Service Science is truly an interdisciplinary field. With the foundation of systems theory, operations research, management science, marketing science, advanced computing and communication technology, network theory, social computing, and analytics, Service Science can be rigorously developed, involving descriptive, predictive, and prescriptive research of a service spanning its lifecycle (i.e., market analysis, design, engineering, delivery, and sustaining) in an integral and quantitative manner.{Qiu, R., [https://www.wiley.com/en-us/Service+Science%3A+The+Foundations+of+Service+Engineering+and+Management-p-9781118551851 Service Science: The Foundations of Service Engineering and Management], John Wiley & Sons, Jul 3, 2014}

The flagship journal [https://pubsonline.informs.org/journal/serv Service Science] is published by INFORMS. The journal publishes innovative and original papers on all topics related to service, including work that crosses traditional disciplinary boundaries. It is the primary forum for presenting new theories and new empirical results in the emerging, interdisciplinary science of service, incorporating research, education, and practice, documenting empirical, modeling, and theoretical studies of service and service systems.

INFORMS has an annual international conference on Service Science. You can find it from [https://www.informs.org/Meetings-Conferences INFORMS Meetings & Conferences] page.

==See also==
{{div col|colwidth=20em}}
* [[Customer service]]
* [[Enterprise architecture]]
* [[Managed services]]
* [[Service (economics)]]
* [[Service design]]
* [[Service dominant logic (marketing)]]
* [[Service economy]]
* [[Service management]]
* [[Services marketing]]
* [[Service provider]]
* [[Service system]]
* [[Service Value Network]]
* [[System]]
* [[Web service]]
* [[Secure Operations Language]]
* [[Viable systems approach]]
{{div col end}}

==References==
{{Reflist}}

==Further reading==
{{further cleanup|date=July 2015}}
* Iván S. Razo-Zapata, Pieter De Leenheer, Jaap Gordijn, Hans Akkermans: Fuzzy Verification of Service Value Networks. CAiSE 2012: 95-110
* Pieter De Leenheer, Jorge S. Cardoso, Carlos Pedrinaci: Ontological Representation and Governance of Business Semantics in Compliant Service Networks. IESS 2013: 155-169
* Jorge Cardoso, Konrad Voigt, and Matthias Winkler [http://eden.dei.uc.pt/~jcardoso/Research/Papers/BC-2009-027-LNBI-ICEIS-ServiceEngineering-for-the-IoS.pdf “Service Engineering for the Internet of Services.”] Enterprise Information Systems, Lecture Notes in Business Information Processing (LNBIP), Vol. 19, pp. 15–27, 2009.
* Jorge Cardoso; Barros, A.; May, N. and Kylau, U. [https://web.archive.org/web/20110615114256/http://eden.dei.uc.pt/~jcardoso/Research/Papers/IEEE-SCC-2010-USDL.pdf “Towards a Unified Service Description Language for the Internet of Services: Requirements and First Developments.”]. In IEEE International Conference on Services Computing, IEEE Computer Society Press, Florida, USA, 2010.
* [http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/mags/co/&toc=comp/mags/co/2007/01/r1toc.xml&DOI=10.1109/MC.2007.33 “Steps Toward a Science of Service Systems”], in ”IEEE Computer”, Jan 2007.
* Hefley, B. & Murphy, W. (eds.) [https://www.springer.com/978-0-387-76577-8 “Service Science, Management, and Engineering: Education for the 21st Century.”] ({{ISBN|0-387-76577-8}}, {{ISBN|978-0-387-76577-8}}). New York: Springer, 2008.
* [http://viu.eng.rpi.edu/publications/SEIBookHsuCh08.pdf “Models of Cyberinfrastructure-based Enterprises and their Engineering”] in C. Hsu ed., ”Service Enterprise Integration: an Enterprise Engineering Perspective”, Springer Science, 2007.
* Carroll, N. (2012). [https://www.researchgate.net/publication/259609171_Service_Science_An_Empirical_Study_on_the_Socio-Technical_Dynamics_of_Public_Sector_Service_Network_Innovation Service Science: An Empirical Study on the Socio-Technical Dynamics of Public Sector Service Network Innovation], PhD Thesis, University of Limerick
* Carroll, N., Whelan, E., and Richardson, I. (2012). Service Science – an Actor Network Theory Approach. International Journal of Actor-Network Theory and Technological Innovation (IJANTTI), Volume 4, Number 3, pp. 52–70.
* Carroll, N., Whelan, E. and Richardson, I. (2010). [http://pubsonline.informs.org/doi/pdf/10.1287/serv.2.4.225 Applying Social Network Analysis to Discover Service Innovation within Agile Service Networks], Service Science, Volume 2, Issue 4, pp. 225–244.
* [http://www.lionhrtpub.com/orms/orms-6-06/frservice.html “Serving the Services”], ”OR/MS Today” June 2006
* [https://web.archive.org/web/20110721125723/http://www.nistep.go.jp/achiev/ftx/eng/stfc/stt019e/qr19pdf/STTqr1903.pdf “Trends in Services Sciences in Japan and Abroad”] ”Science and Technology Trends Quarterly Review”, April 2006
* Sampson (2001) “Understanding service businesses”. John Wiley: New York, NY.
* Teboul, James (2006) “Service is Front Stage”. [[INSEAD]] Business Press.
* B Andersen et al. (eds) 2000 “Knowledge and Innovation in the New Service Economy” Cheltenham, Elgar ({{ISBN|1-84064-572-5}})
* S Metcalfe and I Miles (eds) 2000 “Innovation Systems in the Service Economy” Dordrecht: Kluwer
* Gadrey, J. and Gallouj, F., (2002) “Productivity, Innovation and Knowledge in Services, New Economic and Socio-Economic Approaches”. Cheltenham, UK: Edward Elgar.
* Qiu, Robin, Ed.(2006) “Enterprise Service Computing: From Concept to Deployment”. Idea Group Publishing: Hershey, PA.
* [http://www.hpl.hp.com/techreports/2007/HPL-2007-22.html “Public Services Innovation through Technology”] David Pym, Richard Taylor and Chris Tofts, Hewlett-Packard
* [http://www.sersci.com/ServiceScience/ Service Science], a fully refereed international journal, provides the primary and effective forum for both academic scholars and industry practitioners to propose and foster quick discussion on research and development and disseminate their latest findings in the service science and related research, education and practice areas.
* [https://books.google.com/books?hl=en&lr=&id=0gxwX4V7EAgC&oi=fnd&pg=PP1&ots=0veZ9T29Ov&sig=OEJ1L6xcBwTQtiGbIk6Ipj5Lrvs#v=onepage&q&f=false “Service Science, Management, and Engineering:: Theory and Applications”] Xiong, Gang, et al. in Academic Press, 2012.
* Qiu, Robin, [https://books.google.com/books/about/Service_Science.html?id=u9f1AwAAQBAJ Service Science: The Foundations of Service Engineering and Management], John Wiley & Sons, Jul 3, 2014

{{DEFAULTSORT:Service science, management and engineering}}
[[Category:Service industries]]

AHFE HSSE online is underway!

Please join in if you would like…
Track: The Human Side of Service Engineering – July 18-20, Sat, Sun, Mon
11th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences
16-20, July, 2020, Virtual Conference, United States of America
AHFE Opening Welcome and Keynote: https://video.ibm.com/recorded/127227638

AHFE 2020 Technical Sessions Day 1 (July 18, 2020) available now for viewing!

Link: https://video.ibm.com/channel/BtLmFKzpJps

AHFE 2020 Technical Sessions Day 2 (July 19, 2020) available now for viewing!

Link:  https://video.ibm.com/channel/YfHbEgeVVXH

AHFE 2020 Technical Sessions Day 3 (July 20, 2020) Available now +

Link:  https://video.ibm.com/channel/rvb3xkQcbEQ

AHFE 2020 Poster Sessions [All Days] Available now +

Link: https://video.ibm.com/channel/NMk5TV3xZhn

July 18, 2020

Technical Session: 08:00 – 10:00 Eastern Time USA
Session 3:
https://global.gotomeeting.com/join/401142925
HSSE Opening Session: Welcome, Opening Talk, Discussants
Co-Chairs: Christine Leitner and Jim Spohrer, UK/USA

Keynotes:
21st Century Design – from homepage recording
Don Norman, United States
Toward a Computable Scholarly Record
Victoria Stodden, United States

Technical Session: 10:30 – 12:30 Eastern Time USA
Session 18:
https://global.gotomeeting.com/join/981227613
Research Approaches to Service Innovation: Organizational Perspectives
Co-Chairs: Yuriko Sawatani, Kelly Lyons and Laura Anderson, Japan/Canada/USA

Effectuation model for large companies
Yuriko Sawatani, Japan
Innovation-as-a-Service: Emergent Lessons from an AI Innovation Management Project
Christine Wolf, Jeanette Blomberg, United States
Barriers to Service Innovation using Data Science
Rohan Alexander, Kelly Lyons, Canada
Service Design Approaches to Drive Employee Engagement
Laura C. Anderson, Cheryl a. Kieliszewski, United States
Methodological Reinforcements: Investigating Work through Trace Data and Text
Corey Jackson, Laura C. Anderson, Cheryl a. Kieliszewski, United States
Methods for Analyzing Service Innovation in Software Development
Kelly Lyons, Canada

Technical Session: 13:30 – 15:30 Eastern Time USA
Session 35:
https://global.gotomeeting.com/join/842711629
Applying Service Design Techniques to Healthcare
Co-Chairs: Markus Warg and Andreas Zolnowski, Germany


Architecture and its Multifaceted Roles in Enabling Value Co-Creation in the Context of Human-Centered Service Design
Markus Warg, Germany
Value Co-Creation as the Core of Service Innovation: Impacts of a Case Study of a Fully Digitized Health Insurance Company
Roman Rittweger, Peter Weiss, Anselm Kronibus, Germany
Improving the User Experience for Healthcare Professionals Using a Conversational Agent to Complete Business Intelligence Analysis
Dorian Miller, Becky Niehus, Robert Moore, United States
Design Principles for Health Service Innovations: Nudges from the IBM Health Records Service Platform
Ingo Bahrs, Ronald Fritz, Martin Semmann, Germany
A Conceptual Framework for Workforce Management: Impacts from Service Science and S-D Logic
Markus Frosch, Markus Warg, Germany
Microfoundations for Building Systems of Engagement: Enable Actor Engagement Using Service Dominant Architecture
Peter Weiss, Germany
Analyzing the Role of Artificial Intelligence in the Development of Human-Centered Service
Andreas Zolnowski, Dietmar Frey, Germany

Technical Session: 16:00 – 18:00 Eastern Time USA
Session 52:
https://global.gotomeeting.com/join/149652373
Emerging Research Innovations in AI, User Experience and Design: Education
Chair: Debra Satterfield, USA


Thoughts on Design Education’s Future
Sunghyun Kang, United States
Locked Out: Engaging Design Students in UX and Access Design Processes to Address Homelessness in Los Angeles
Tom Tredway, Jose Rivera-chang, Debra Satterfield, David Teubner, Wesley Woelfel, United States
A New Approach for Experience Design Education: Developing Conceptual Framework with Storytelling
Sang-Duck Seo, United States
Creating Socially Conscious Designers Through the Lens of Empathy
Kimberly Mitchell, United States

July 19, 2020

Technical Session: 08:00 – 10:00 Eastern Time USA
Session 69:
https://global.gotomeeting.com/join/392817973
Emerging Research Innovations in AI, User Experience and Design: Industry
Chair: Debra Satterfield, USA

AI is the New UX: Emerging Research Innovations in AI, User Experience, and Design as They Apply to Industry, Business, and Education, and Ethics
Debra Satterfield, Troy Abel, United States
Mitigating Misinformation: Using Simulations to Examine the Effectiveness of Potential Strategies
Ryan Kirk, United States
Picking Apart the Black Box: Sociotechnical Contours of Accessibility in AI/ML Software Engineering
Christine Wolf, United States
Validating and Improving the Smart Servicescape Wheel: A Qualitative Video Analysis
Hyo-Jin Kang, Jieun Han , Bokyung yun, Gyu Hyun Kwon , South Korea
Managing strategic participation through design principles: A model for value co-creation in service-based organizations.
Rocío Salvatierra, Spain

Technical Session: 10:30 – 12:30 Eastern Time USA
Session 86:
https://global.gotomeeting.com/join/756579661
Digital Services for Product Innovation
Co-Chairs: Christian Zagel and Freimut Bodendorf, Germany


Identifying Trendsetters in Online Social Networks – a Machine Learning Approach
Martina Fricke, Freimut Bodendorf, Germany
Consume Less, Create More – Digital Services in the Context of Sustainability
Rebecca Fischer, Lena Pieper, Germany
“Innovation? Yes, I can“–Individually Perceived Creative Self-Efficacy as an Effect of Vividness Targeting Ceativity Methods
Lena Pieper, Rebecca Fischer, Hauke Hasenknopf, Germany
Service Innovations for Cyborgs – Human Augmentation as a Self-Experiment
Christian Zagel, Germany
Influence of Survey Link Locational Placement on the User Rating
Adelka Niels, Germany
Why Do You Listen to this? Experiencing Black Metal
Hauke Hasenknopf, Nassrin Hajinejad, Lena Pieper, Rebecca Fischer, Germany

Technical Session: 13:30 – 15:30 Eastern Time USA
Session 103: https://global.gotomeeting.com/join/195863821
AI Designed to Support Healthy Aging
Acting Chair: Jim Spohrer
See proceeding for papers – most were not submitted recordings
.
Only one recording – and it also won the #1 best paper award – congratulations Yamada-san and co-authors!

Predicting Future Accident Risks of Older Drivers by Speech Data from a Voice-Based Dialogue System: A Preliminary Result
Yasunori Yamada, KAORU SHINKAWA, AKIHIRO KOSUGI, MASATOMO KOBAYASHI, HIRONOBU TAKAGI, Miyuki Nemoto, Kiyotaka Nemoto, Tetsuaki Arai, Japan

^^^ #1 Best paper of HSSE 2020 conference – please join session if you can – apologies for very bad time in Japan 2am – Japan time – so possibly no one can join. Apologies we are not meeting in San Diego as planned – many of the other papers are from San Diego researchers in this session.

Technical Session: 16:00 – 18:00 Eastern Time USA
Session 120:
https://global.gotomeeting.com/join/503154325
Knowledge Science in Practical Service Situations
Co-Chairs: Youji Kohda and Pavinee Rerkjirattikal, Japan

A Framework for a Practical Nurse Scheduling Approach: A Case of Operating Room of a Hospital in Thailand
Pavinee Rerkjirattikal, Van-Nam Huynh, Sun Olapiriyakul, Thepchai Supnithi, Japan
A New Interpretable System for Knowledge Exploration and Classification: ICU Sepsis Data Case Study
Thanh Phu Nguyen, Van-Nam Huynh, Japan
Barriers for service innovations in B2B context: Agile software development adoption and rejection in Japanese organizations
Nobuhiko Seki, Youji Kohda, Japan
Analysis and Feedback of Movement in Manual Assembly Process
Raveekiat Singhaphandu, Van-Nam Huynh, Warut Pannakkong, Japan
Towards an Application of Remote Sensing Technology for Decision Making During Natural Disaster
Hideomi Gokon, Japan
Revisiting Internal Mechanism of HRM Practices in Creating Values for Product Innovation: An Application of Fuzzy Set QCA
Kimseng Tieng, Youji Kohda, Chawalit Jeenanunta, Cambodia
Case Study on Applicability of Artificial Intelligence for IT Service Project Managers With Multi Value Systems in the Digital Transformation Era
Hiroyuki ENDO, Youji Kohda, Japan

July 20, 2020

Technical Session: 08:00 – 10:00 Eastern Time USA
Session 137:
https://global.gotomeeting.com/join/828628277
Service Ethics, Trusted AI, and Service Robotics
Co-Chairs: Jim Spohrer and Shrikant Parikh, USA/India

The Use of Digital Technologies and the Transformation of Work in a Hemodialysis Clinic
Saturnina Martins, Marcia Terra da Silva, Ivonaldo Vicente da Silva, Brazil
Evolution of Smart Service Architectures Through Cognitive Co-Creation
Alfred Zimmermann, Kurt Sandkuhl, Rainer Schmidt, Dieter Hertweck, Alexander Rossmann, Germany
AI, Ethics, and Service
Paul Maglio, Christoph Breidbach, United States
Design of an Ethical and Humane Rural Public Health System
Dr.Shrikant Parikh, India
Responsible Innovation
Alka Roy, United States

Technical Session: 10:30 – 12:30 Eastern Time USA
Session 154:
https://global.gotomeeting.com/join/771494045
Empowerment of Citizens, Public Sector Employees and Other Stakeholders in the Digital Age
Co-Chairs: Christine Leitner and Walter Ganz, UK/Germany

Open Banking and PSD 2: The Promise of Transforming Banking by ‘Empowering Customers’
Christian Stiefmueller, United Kingdom
Multi-contextual view to Smart City Architecture
Leonard Walletzký, Luca Carrubbo, Mouzhi Ge, Angeliki Maria Toli, Frantiska Romanovska, Czech Republic
The Impact of Fraternity and Sorority Participation on NAE’s Engineer of 2020 Outcomes for Civil Engineering Undergraduates
Denise Simmons, Anh Chau, United States
Empowering European Mobile Youth: Case Studies from Austria and Estonia
Christine Leitner, Mohammad Allagha, Jelizaveta Krenjova, Christian Stiefmueller, Kristina Reinsalu, United Kingdom
Typology-Based Analysis of Artificial Intelligence in Service Companies
Walter Ganz, Thomas Meiren, Germany
Artificial Intelligence as Driver for Business Model Innovation in Smart Service Systems
Jens Neuhüttler, Holger Kett, Sandra Frings, Jürgen Falkner, Walter Ganz, Florian Urmetzer, Germany

Technical Session: 13:30 – 15:30 Eastern Time USA
Session 171:
https://global.gotomeeting.com/join/761723493
Service Science and Knowledge Science in the AI Era
Co-Chairs: Jim Spohrer, Clara Bassano and Youji Kohda, USA/Italy/Japan

Solving AI and Service Science: Technology and Human-Side Perspectives
Jim Spohrer, United States
Value-Dominant Logic: An Evolving Quantum Theory Of Economics.
Hunter Hastings, United States
The Impact of Chatbots on Customer Service Performance
Alexander Rossmann, Alfred Zimmermann, Dieter Hertweck, Germany
From multidisciplinary to transdisciplinary perspectives on solving AI and Service Science
Francesco Polese, Debora Sarno, Sergio Barile, Italy
Can Humans Learn from AI? A Fundamental Question in Knowledge Science in the AI Era
Youji Kohda, Japan
Intelligence Augmentation (IA) in Complex Decision Making: A New View of the VSA Concept of Relevance
Sergio Barile, Clara Bassano, Mattia Lettieri, Paolo Piciocchi, Marialuisa Saviano, Italy

Technical Session: 16:00 – 18:00 Eastern Time USA
Session 188:
https://global.gotomeeting.com/join/811780909
HSSE Closing Session: Best Paper Awards, Thank-you’s, Planning Next HSSE
Co-Chairs: Christine Leitner and Jim Spohrer, UK/USA

Congratulations to the best paper award winners:

Predicting Future Accident Risks of Older Drivers by Speech Data from a Voice-Based   Dialogue System: A Preliminary Result  

  Yasunori Yamada, Kaoru Shinkawa, Akihiro Kosugi , Masatomo Kobayashi, Hironobu Takagi ,   Miyuki Nemoto, Kiyotaka Nemoto, and Tetsuaki Arai, Japan

2  Service Design Approaches to Drive Employee Engagement

  Laura C. Anderson and Cheryl A. Kieliszewski, USA

Typology-based Analysis of Artificial Intelligence in Service Companies

  Walter Ganz and Thomas Meiren, Germany

Methodological Reinforcements: Investigating Work through Trace Data and Text

  Corey Jackson, Laura C. Anderson, and Cheryl A. Kieliszewski, USA

5  Open Banking and PSD2: The Promise of Transforming Banking by ‘Empowering Customers‘

  Christian M. Stiefmueller, UK

6  Can Humans Learn from AI? A Fundamental Question in Knowledge Science in the AI Era

  Youji Kohda, Japan

Welcome everyone – good morning, good afternoon, and good evening

Please join ISSIP.org – the sponsor of the best paper award for HSSE. Individual membership is complementary.

Reminders: Other tips 
Tip: you can click on the “talk bubble” on upper right of screen to see chat. Right click (Cmd-Click on Mac) on chat area to see the “save” button – to save the chat as an html file for later use. 

Tip: you can click on the “people icon” on top right of screen to see a list of all people, and by right clicking on your name, then you can edit your name and add your affiliation if you’d like to do so. 

Tip: you can hover over the icon of a person, and the three dots that appears over the person in upper right of their icon square, can open up so you can see their name – as a reminder. 

Tip: you can also chat privately, one on one. To quickly get to them you can use the icon of their video feed at top of screen, or scroll down on the to: pop up at the bottom of the chat area.

Thanks, -Jim

Jim Spohrer, PhD
Director, Cognitive Opentech Group (COG)
IBM Research – Almaden, 650 Harry Road San Jose, CA 95120
(o) 408-927-1928spohrer@us.ibm.com
(m) 408-829-3112spohrer@gmail.com
Innovation Champion: https://service-science.info/archives/2233

CFP AI in Government and Public Sector – AAAI FSS November 13-14, 2020 Washington DC (Submit by August 5)

AI in Government and Public Sector Fall Symposium Call for Participation

Deadline August 5, 2020 – https://easychair.org/conferences/?conf=fss20

AI is becoming ubiquitous, being useful across societal, governmental, and public sector applications. However, AI in Government at the federal, state, and local levels, and related education and public heath institutions (hereafter referred to as Public Sector) faces its own unique challenges. AI systems in the public sector will be held to a high standard since they must operate in support of the public good. They will face increased scrutiny and stringent requirements for ethical operation, accountability, transparency, fairness, security, explainability, cost-effectiveness, policy & regulatory compliance, and operation without unintended consequences.

We will invite thoughtful contributions – papers, speakers, and panel proposals – that present novel technical approaches to meeting these requirements and lessons learned from current implementations. We hope to provide some coverage on the use of AI to respond to the COVID-19 and Fairness, either through paper presentations, panel discussions, or invited Keynotes.

Potential topic areas include (in no particular order):

1. Technical Papers that advance the state-of-the-art on applying AI in the Public Sector Innovative approaches to solving the problems of building applications that meet the challenges described above.

o Responsible, Safe, and Trustworthy – Responsible use of AI is one of the important drivers in the successful deployment of AI. How can systems be designed to avoid bias in data, algorithms, and/or use of the system? How to ensure transparency, comprehensibility, and trustworthiness? This topic includes areas such as Open Data and Accountability of AI systems, as well as Open Source Code and Open Models and Training Methods.

o Verification and Validation for Deep Learning– Validation of AI models (especially those based on deep learning and other statistical machine learning techniques) and keeping them validated as the domain or model evolves, is an active topic of research. However, the public sector has a unique challenge in that often the correctness of the classifications that a deep learning model implements is ultimately derived from regulation or some other complex text. How do we validate these models, when human interpretation is an essential part of the correctness criteria?

o Privacy – This topic encompasses privacy issues in AI-based models, as they relate to GDPR (General Data Protection Regulation) and other National and State regulations, compliance, enforcement, and penalty issues. How to balance privacy needs with the public safety in which data available can lead towards increased benefits for many?

o Robustness and Resiliency –AI systems for the public sector must be robust and resilient in the face of the type of external manipulation, deception, and systemic cyber threats that the public sector uniquely faces. While Open Code requirements allow the detection of back doors and other problems, how this will work with trained AI models? How can we harden AI- based models from model poisoning and other adversarial attacks that are designed to misdirect or bias results?

o Public Sector Interaction Paradigms – This topic encompasses insights about various paradigms for AI use in public sector operations, such as intelligence augmentation and human-machine collaborative approaches, levels of autonomy, methods for handling uncertainty / conflicting evidence and opinion, and the various types of public sector users (government employees, general public, elected officials).

o Leveraging AI Innovation in Open Source – There are hundreds of open source AI projects, focusing on AI sub-domains such as deep learning, machine learning, models, and many more. How can government entities leverage the abundance of open source AI projects and solutions in building their needed platforms and services so that trusted and robust open source projects can be deployed for public service?

o Operation and Adaptation to Multiple Domains – Many public sector agencies must operate across multiple domains. For example, FEMA responds to hurricanes, earthquakes, and now the Corona virus pandemic. How can AI systems be made to support or adapt to cross domain operations? What are the challenges and research directions?

AI in Government and Public Sector Fall Symposium Call for Participation

2.

Practice Papers that describe current uses of AI in the public sector applications which are early adopters of AI, role of public/private partnerships in accelerating development and adoption, timely response to societal challenges such as the COVID-19 Pandemic response (Public health, medical, social, economic), social justice, and demonstrations of beta and in-production applications.

o Early areas for adoption of AI – What public sector problems exist where AI is playing a large/important role without deep new experimentation or solving R&D problems? How can socially important challenges such as responding to COVID-19, fighting terrorism, better serving vulnerable populations, combatting racism, and so forth, be re-conceptualized to leverage AI’s strengths?

o Role of Public-Private Partnerships–What is the role of public-private partnerships in researching, creating, and operating AI systems for the public sector? How do AI R&D institutes being created with academia and industry provide a conduit for early adoption and transition of AI technologies in government?

o Using AI to encourage public service innovation – What public sector areas are not immediately approachable by AI, but still pose an urgent need, and hence offer a sufficient financial or social-good reward to justify investment and experimentation by public administrators?

o Translating from .com to .gov – What best practices and approaches can be transferred from the .com experience to benefit .gov?

o Systematic Approach for the Use of AI in the Public Sector–This topic encompasses policies, methodologies, guides and elements in support of public sector use of AI. In deploying AI technologies to improve public sector operations, tensions exist between effectiveness and protecting ownership and control rights to information. What are these tensions and trade-offs, and how can they be addressed?

o Cultivating AI Literacy – How do we facilitate understanding and acceptance of AI in the public sector? How do we start the conversation between government and citizens?
o AI Engineering Best Practices – The increasing prevalence of machine learning in

automation exposes AI to real-world data, and raises concerns about data drift, data poisoning, adversarial AI, and more. The complexity of modern probabilistic models and data pipelines raises the cost of understanding a system well enough to fix it when it breaks. These diverse concerns urgently call for AI engineering guides to help ensure robustness and transparency in AI solutions, with the cost effectiveness that is demanded of the public sector. What new best practices or standards are needed for engineering AI?

o Incentivizing AI Engineering Best Practices – The ability of the public sector to leverage AI depends in part on the availability of AI implementations that attain the highest levels of transparency, in terms of the documentation, the modularity of implementation, and adherence to potential standards. How should the public sector incent appropriate discourse and resolution of these issues? Who should do this?

Submissions

The symposium will include presentations of accepted papers in both oral and panel discussion formats, together with invited speakers and demonstrations. Potential symposium participants are invited to submit either a full-length technical paper or a short position paper for discussion. Full-length papers must be no longer than eight (8) pages, including references and figures and are required those submitting Technical Papers as described above. Short submissions can be up to four (4) pages in length and can be used for Practice Papers as described above, work in progress, system demonstrations, or panel discussions.

Please submit via the AAAI EasyChair.org site choosing the AAAI/FSS-20Artificial Intelligence in Government and Public Sector track at https://easychair.org/conferences/?conf=fss20 Please submit by August 5. Contact Frank Stein (fstein@us.ibm.com) with any questions.

Organizing Committee

Frank Stein, IBM (Chair); Erik Blasch, USAF; Mihai Boicu, GMU; Lashon Booker, Mitre; Michael Garris, NIST; Mark Greaves, PNNL; Eric Heim, CMU-SEI; David Martinez, MIT-LL;Tien Pham, CCDC ARL; AlunPreece, Cardiff University; Peter Santhanam, IBM; Jim Spohrer, IBM;

ICSSI 2020 – Taiwan, Oct. 15-17, 2020

Call for papers ICSSI 2020

“ Hybrid conference: Online presentation is available under COVID-19”

Theme: Service Science in the Era of Digital Transformation
Dates: October 15~17, 2020
Venue: National Tsing Hua University, Taiwan
Website: http://icssi.s3tw.org.tw/
Contact: icssi2020@gapp.nthu.edu.tw

Background
Service Science, an interdisciplinary study of service systems, has been tightly connected with the human-centered design and innovation for social wellbeing and sustainability. Following the trend of smart services by leveraging the advance of technologies, especially the artificial intelligence and availability of big data in various industries and application domains. Thus, the heavy involvement of service science with service innovation that integrates human-centered design and technology-enabled implementation leads service science research, education, and practice to face up-to-date social and industrial challenges. Meanwhile, the social lives and industrial performance have been heavily affected by the deployment of technologies and the business models triggered by digital transformation. It motivates service science professionals to pay attention to the trends of service system innovation in the era of transformation. Thus, the theme of ICSSI 2020 is set as “Service Science in the Era of Digital Transformation.”
The Service Science Society of Taiwan (s3tw) founded in 2011 serves as the professional community for scholars and practitioners interested in service science related research, education, and practice in Taiwan. This conference mainly sponsored by the s3tw has been served as an international platform for scholars and practitioners to share knowledge and engage potential collaborative relationship in past years. Via ICSSI conferences, we were able to cooperate with organizations and individuals from academics and industries to organize academic paper presentation, service design workshops, industrial forum and site visits. Following the established foundations, ICSSI 2020 is organizing the activities to attract scholars and practitioners to contribute to the success of this bi-annual congregation.

Programs
To explore the theme of “Service Science in the Era of Digital Transformation” in ICSSI 2020, we organize three types of activities for the conference. One is the academic paper presentation by calling for paper submission from researchers in related disciplines. Another activity is to organizes service design workshop for participants to practice service design methodologies and tools to solve issues related to digital transformation for achieving sustainability. The other activity is to hold industrial forums that bring practitioners in various industries to share their experiences and ideas in business transformation for better quality of life in the era of digital transformation. The followings are tracks for paper submission to the conference:
• Theories of service science
• Service management
• Service innovation
• Service design
• Technology-enabled services
• Smart services
• Digital transformation for service
• Service innovation for sustainability

Submissions Categories
The paper submission could be one of the following categories. Please visit ICSSI 2020 website for the submission information and the formats for these two types of submission.
• A full paper within 10 pages for completed research work.
• The extended abstract within 4 pages for work-in-progress.

Potential Publication on Journals
The accepted papers have the potential to be selected by various journals to go through their fast track of reviewing process to be published on their special or regular issues. The following journal is confirmed and we will edit in additional journals once they are confirmed.
• Pacific Asia Journal of the Association of Information Systems (PAJAIS)

Important dates for the conference (2020)
June 30: Paper submission deadline
July 31: Notification of the acceptance/rejection
August 30: Deadline for early bird registration
September 15: Deadline for Authors to Submit Final Manuscript for Publication
September 15: Deadline for at least one author of to register for ICSSI 2020
September 30: Deadline for regular registration
October 15~16: Conference dates

“ Hybrid conference: Online presentation is available under COVID-19”

Events 2020

Upcoming

Jun 17-19, Human-Centered Intelligence Systems, Split, Croatia

Jul 18-20 AHFE HSSE – San Diego, CA USA (online)

Aug 17-29 Frankfurt Summer School 2020 on Ethical Implications of AI , Goethe University, Frankfurt, Germany (already started online)

Oct 15-17, ICSSI 2020 Taiwan.

Past

Jan 6-10 HICSS – Maui, HI USA

Feb 5-7, IESS Porto, Portugal (in person)

Mar 13-14, ICSERV Osaka Seikei Univeristy, Osaka, Japan (canceled)

Mar 16, Skills for Service Growth and Job Creation, Brussels, Belgium (rescheduled online)

CFP: Journal of Creating Value

This just in from Gautam Mahajan gautam.mahajan@gmail.com

The Journal of Creating Value, a bi-annual, referred journal, invites submissions for its next issue 6.1 (May 2020) for creating value in all areas, including customers and businesses, society and government. Articles to be submitted by February 15, 2020.

The Journal of Creating Value, is a unique journal under the SAGE Journals India, which covers the widest possible spectrum for developing innovative perspectives related to the creation of value for any company and the stakeholders such as customers, employees, partners, society and owners. The journal does not restrict itself to any particular stream like Humanities or Science and thus aspires to acquire an interdisciplinary character. The relevance of science for understanding the logic and rationale of Customer Value Creation, the quantifying aspects of it and the relevance of the arts for tapping into the more humane factors are both taken into consideration. Finally, the journal necessarily seeks to supplant the restrictive notion of ‘Command and Control’ with a more accommodating notion of ‘Connect and Inspire’ in the context of customer-led management practices.

Five key reasons to publish with the Journal of Creating Value:

  1. A dynamic platform for expression, innovation, debate and discussion.
  2. The journal boasts of wide audience from diverse nooks and corners like academia, community and government agencies, business and industry.
  3. The publication of the journal by SAGE, the leading independent academic publisher in the world, will provide the authors with a well-deserved entry into the relevant fields.
  4. The golden opportunity to be reviewed by a conglomeration of eminent reviewers from across the globe.
  5. A perfect example of interdisciplinary and multidisciplinary research with global reach through SAGE’s principal offices in Los Angeles, London, New Delhi, Singapore.

Submission details

Prior to submission, the contributors are strongly recommended to go through the Manuscript Submission guidelines given on the journal website and then visit https://peer-review.sagepub.com/jcv to login and submit their articles online.

Submit your manuscript today!

The Context for: “High Tech Skills for Service Expert Group: Smart service good practice identification”

Request: Do you have a good practice to share? Please post URL to your “good practice” that service experts should know about to the LinkedIn Group below. Thanks for sharing your good practice(s).

Project Goal: Two year project, to develop a vision to (1) scale the creation of service science skills and high-technology jobs for Europe based on global exemplars and expert perspectives from public and private sectors, and (b) expand beyond previously published reports in light of recent technological advances, in areas such as AI, Blockchain, IoT, and more.

Project Deliverable: Final Report to the European Commission 

Project Stages: Collect Exemplars -> Write Draft Report – > Get Community Feedback -> Publish Final Report   

Acknowledgments: The final report will thank the experts who either shared exemplars, provided feedback on drafts, and/or attended community meetings – these are the three key ways that experts can help at different stages in this two-year project.   

Previous SSME Report before the rise of several key new technologies (see especially executive summary): https://www.ifm.eng.cam.ac.uk/uploads/Resources/Reports/080428cambridge_ssme_whitepaper.pdf

Invited Expert Discussion Forum: Please join this LinkedIn Group:  https://www.linkedin.com/groups/13761774/

From the above LinkedIn Group started by Tobias Hüsing :

“We’re here to exchange and learn about high-tech skills and T-shaped skills activities in the area of Service Science. Aim is to develop a forward vision and long-term agenda (year 2030) for high-tech skills development and the creation of new services and jobs enabled by new technologies which will be used to inform European policy making. This is a group of invited experts aiming to include most relevant key decision makers, practitioners, educators, researchers and other stakeholders in Europe, the US and globally on this subject to share their expertise. Basic facts about the initiative: High-Tech Skills for Industry – Fostering New Services and Jobs Creation – Service Contract for the European Commission New acronym: “eSkills2030” Consortium: empirica GmbH; subcontractors PwC and ISSIP Service contract goal: • Analyse public policies, educational and private sector efforts in the realm of high-tech skills and the creation of new services and jobs and develop a vision to scale the creation of service science skills and high-tech jobs in Europe Scope: • In-depth analysis of the state-of-play on high-tech skills and the creation of new services and jobs enabled by new technologies and service science • Identification, documentation and promotion of best practices • Forward vision and long-term agenda (2030) with supporting actions • Promotion of new services and jobs Deliverables and events: • Inception report (October 2019); interim report (September 2020); final report (September 2020) • Six workshops (March 2020, May 2020, September 2020, December 2020, May 2021, June 2021) • Two online surveys (March 2020, March 2021) • High level conference (October 2021) Service contract stages: • Data collection and analysis -> elaboration of common vision -> validation by experts -> interim report • Identification of best practices -> proposals for supportive actions and recommendations -> finalisation of vision -> validation by experts -> final report”