Systems Book: “The Premonition: A Pandemic Story”

Michael Lewis’s “The Premonition: A Pandemic Story” is an excellent read for those with an interest in systems, especially dysfunctional service systems and institutions that fail to adequately protect the people they are designed to serve. The book is also an excellent read from the perspective of understanding the human-side of service systems, as Lewis does his usual masterful job of bringing colorful people to life in these pages (e.g., Money Ball is also by Lewis, and well known among the general public, sports enthusiasts, and data scientists).

The book is important for systems thinkers, to understand system failure, especially of public trust in institutions like the CDC. The COVID-19 global pandemic has so far killed an estimated 4 million people world wide, and over 600K in the USA alone. The head of the CDC (as of January 2021 is Rochelle Wilensky, and previously Robert Redfield) transitioned from a career civil servant role (David Senser – “the enemy is the virus, and its ability to mutate rapidly and randomly”, William Foege – famous for eradication of small pox) to a presidential (political) appointed role during the Reagan era (James O. Mason), and a great deal of the book deals with the spiraling down of the CDC as an institution equipped to protect US citizens from a disease during a crisis. The first line of active engagement with a killer virus is the county health officer, of which there are about 3000 across the USA (see NAACHO).

A key hero of the book is Charity Dean, who has great experience as the head of Santa Barbara County Health System, later as assistant director of California Department of Health (helping to move California from last to first in COVID testing with the help of others in a three month period), and in the epilogue CEO of The Public Health Company. Some of the other key heroic people in the book are Richard Hatchett and Carter Mecher who lead the charge about the best way to save lives as a pandemic is taking hold, and before a vaccine is available. Lisa Koonin of the CDC worked with Richard and Carter and is one of a short list of helpful CDC figures in the book. They all seem to be systems thinkers to me. For the breakthrough present, as well as the future of health and tracking viruses is represented well in the book by the work of Joe DeRisi. The future is also better simulations, and the aspect of the book was highlighted well in the person of Bob Glass of Sandia National Labs (“the scientists who simulate the end of the world”). They all seem level-headed, and more interested in saving lives through better systems (e.g., service systems for people and organizations to co-create value), rather than working in silos concerned with political optics and who takes credit.

Some snippets below to get a sense of the book:

Prologue: “But not for him. “This is the crux of science,” he’d say with enthusiasm. “All science is modeling. In all science you are abstracting from nature. The question is: is it a useful abstraction.” Useful to Bob Glass, meant: Does it help solve a problem.”

“With her dad, science was this tool for finding cool new questions, to ask and answer. Exactly what questions didn’t matter: her father had no respect for the boundaries between subjects and thought of all sciences as one and the same.”

“He began to read whatever he could about disease, and the history of epidemics. He picked up The Great Influenza a book by the historian John Barry about the 1918 flu pandemic.”

Chapter 1 – Dragon: “Then she saw the phrase ‘Communicable Disease Controller.’ It was an official state role. Played by local health officers. Her mind lit up…. To minimize horrific death, and to chase disease, the state of California had bestowed upon local public health officers extraordinary legal powers.”

Chapter 2 – The Making of a Public Health Officer: “In theory, the CDC sat atop the system of infectious-disease management in the United States. In practice, the system had configured itself to foist the political risk onto a character who had no social power. It required a local health officer to take the risk and responsibility, as no one else wanted to… ‘What scares me the most and what I think about most,’ said Charity, ‘is our ability to respond to a new pathogen, like influenza that’s just mutated. The H1N1 pandemic of 1918 was over a hundred years ago now. The world is overdue for a pandemic like that, whether it is influenza or something else. And in public health, we known that we have to be prepared for that.'”

Chapter 3 – The Pandemic Thinker: “Like Rajeev [Venkayya], Richard [Hatchett] thought the United States government was paying too much attention to threats posed by people and too little to those posed by nature. Like Rajeev, he believed that some new strain of flu, or some similar respiratory virus, was an accident waiting to happen. And so when he heard Rajeev’s offer to create a pandemic plan for the country, he was all in…. The task at hand was so unusual that he also asked for people who could ‘think about the box.’ … The VA sent not a policy person, not a Washington person, not a person who knew anything about pandemics, not a person who looked all that happy wearing a suit and tie, but a doctor from Atlanta named Carter Mecher. As it turned out, he would make all the difference.”

“‘That was when I started to see the world differently. To see systems… When you go into the details of the cases, you see it’s not bad people,’ he [Carter Mecher] said. ‘It’s bad systems. When the systems depend on human vigilance, they will fail.'”

Chapter 4 – Stopping the Unstoppable: “Richard had become obsessed with the idea of using models to shape the pandemic strategy, and so Carter had forwarded him the whole package – the VA guy’s email, together will all the stuff Bob Glass had attached… Richard believed that if the country were suddenly overwhelmed by some strain of flu for which there was no vaccine, there nonetheless existed strategies to prevent illness and death. He also wanted to believe that the benefits of these strategies could exceed their costs. He even thought it might be possible to eradicate a new virus without a vaccine. The trick would be to lower the diseases reproductive rate; the number of people each infected person in turn infected. Drive that number below 1, and a disease would flicker and die. But as few disease control experts believed any of these things, and so would not explore possible strategies in a real-life pandemic, he needed the models, to explore the strategies in artificial worlds.”

See their publication, “Public Health Interventions and Epidemic Intensity during the 1918 Influenza Pandemic.

“The paper analyzed the effects of that inability, and showed that American cities that caved to pressure from business interests to relax social distancing rules experienced big second waves of disease.”

“This bothered Lisa. If one day in some future pandemic the new strategy saved millions of lives, no one would no would ever known where it came from. She thought they should know. And so, on the cover of the CDC’s official publication, in print so tiny it needed to be magnified many times before it was visible, she stenciled TLC.”

Chapter 5 – Clairvoyance: “American society had no ability to deal with what she felt was coming.”

Chapter 6 – The Red Phone: “The Virochip, as it was called, was actually a glass microscope slide. Its surface help genetic sequences from every known virus. These sequences, along with the genetic information of living creatures, were stored in a federally funded database called GenBank, inside the National Institutes of Health…. The DeRisi Lab had grabbed from GenBank the full or partial genetic puzzle pictures of twenty-two thousand viruses and transferred them onto a single glass slide.”

Chapter 7 – The Redneck Epidemiologist: “For more than a decade the seven doctors had come together each time a new biological threat presented itself. MERS, Ebola, Zika: they’d all been involved in each of those outbreaks, one way or another, behind the scenes.”

“Richard agreed, and never looked back. CEPI wound up handing out more than a billion dollars to various manufacturers to speed the development of a vaccine.”

Chapter 8 – In Mann Gulch: “She called the Red Cross, only to find out the Red Cross had no interest in helping, either. (She learned later that they didn’t want to offend their Republican donors.)”

Chapter 9 – The L6: “The Japanese were not dismissing it, though. The Japanese were alert.”

“A system was groping toward a solution, but the solution required someone in it to be brave, and the system didn’t reward bravery. It was stuck in an infinite loop of first realizing that it was in need of courage and then remembering courage didn’t pay.”

“‘Six layers down from the people in charge we found two contractors who actually understand what is broken.'”

“On March 18, Park and Patil presented the model’s output to Governor Newsom’s senior advisers… The next day, Governor Newsom issued the country’s first statewide stay at home order.”

Chapter 10 – The Bug in the System: “The thing to do, Joe decided, was to transform the Biohub into a COVID-19 testing center as quickly as possible – and publish a paper to show others how to do it.”

Chapter 11 – Plastic Flowers: “In three months California went from roughly last in the nation in COVID testing to roughly first, depending on how you counted.”

“Where once they had been a bunch of poorly connected dots on the map there would grow a tight web. A system. ‘It’s the future of disease control,’ said Charity.”

“Walking with her out the door, she carried with her a list of unanswered questions. Maybe the biggest was: Why doesn’t the United States have the institutions it needs to save itself?”

Epilogue – The Sin of Omission: “Even before she quit her job she had that odd thought, that the country didn’t have the institutions that it needed to survive. In particular, it did not have what it needed to battle a pathogen.”

Starting my retirement journey

After retiring on June 30th, 2021, my first trip was back East to travel from Florida to Georgia to Virginia to Massachusetts to Maine, meeting family and friends along the way. While there are already many lessons learned, one is coming into focus. Each of us with a lifetime of experiences has the ability to help others envision possibilities, especially possible futures. We have seen the twists and turns of life, intentional and accidental.

On my retirement journey I have already met family, friends, and new acquaintances and begun imagining three possible startups each (for them) that I could help them challenge themselves to create. Planting seeds in their imaginations. Wondering if the seeds will take hold and grow.

Sometimes I felt sad driving through the Maine countryside; farms of family and friends that were productive and proud had fallen into disrepair. Nevertheless, I am hopeful the family farm can be reborn in the era of artificial intelligence and robotics. The key will be a master mechanic robot that can be understood and fixed by farm families when it breaks down.

From the book about Maine life titled “Only Fifty Years Ago” by Maine author Gladys Hasty Carroll (1962, First Edition) given to my by my aunt who knows books, recounting a Thanksgiving supper conversation:

“…only good people can make and keep a good country.”

“Good and wise” said Vinnie. “And brave.”

“Way I look at it,” said George, “people are going to be hard put to keep ahead of these machines, and if they don’t machines are going to be running the people and the country too. Now I’ve got a mowing machine and I can run it; I can fix it if it gets loose; it saves me a lot of time. But I can still swing a scythe too, to clip out around a tree, along walls, and under fences. Time ever comes that a man don’t know how to mow by hand, or don’t have the strength to, he’s going to have a pretty ragged looking field. And if he gets mowing machines that only a master mechanic understands and it breaks down, cattle will starve to death. Get as many machines as you say, can’t be a master mechanic for every one of ’em, onless everybody’s a master mechanic. If they are, a lot of other work is bound to be slighted, even if everybody puts in a full day six days a week. And I will say, George, that people willing to set around all but eight hours of five days a week ain’t going to be the same kind that’ve made this country what ’tis today.”

“Marcy had not heard her grandfather say so many words without stopping.”

In my retirement, I will always be looking for books by Maine author’s about Maine life (both natural and human-made service systems; as service scientists know them). From a service science perspective, we know that most responsible entities (people, businesses, universities, cities, nations) are striving to become better future versions of themselves. Most through hard work and taking calculated risks. Moving out of our comfort zone is never easy. However, that is where challenge and opportunity abound. Its about what we invest in and how we invest in it. Our life’s meaning is tied to where and how we invest our energy; and what ultimately comes from those investments, intentionally or accidentally.

Beginning my research on small scale family farms (multi-generational) it is worth taking ten minutes to study the low-end and the high-end of what is becoming possible. Farm.bot is an example of a relatively simple (fix-able). Boston Dynamics is an example of high end (less fix-able). Boston Dynamics has staged dancing robots as a way to show off capabilities, but they are still far from expert human dancing capabilities. Open Source Ecology provides the basics for a wide range of farm machinery that is easily build-able and fix-able. Ultimately, energy, water, food are the foundations of the family farm. In the past, energy has been burning wood, animal labor, and human labor (water and food). In the future, geothermal energy will likely be best energy source globally once the cost of drilling drops, especially where hot springs are near the surface – a turbine can spin and generate electricity. All states in the USA, including Maine have hot springs.

For most of human history people have lived in multi-generational family units, living either off the land small scale (family farm) or large scale (intra-city and inter-city trade).  Family farms require energy, water, and food to be self-sufficient.  Farm families typically were large (many children) to provide the labor, and their success required generational upskilling (better and better tools and infrastructure). The family farm ROI (Return on Investment) should be constantly re-calculated in the era  of data-driven science and technology (e.g., artificial intelligence, robotics, geo-thermal energy systems, recycling, etc.). Open source provides a strategy for rapidly scaling the adoption of technology usage. Monetization requires focus on one aspect of the business opportunity, and that is likely to be the “master mechanic” robot.   A robot that can build and maintain all the other robots, is called the “master mechanic” robot.

The pandemic has enhanced interest in both the return to multi-generational homes and the return to local mega-trend.

References

Boston Dynamics is high end and less fixable on a farm – https://www.bostondynamics.com/ and https://en.wikipedia.org/wiki/Boston_Dynamics
Farm.bot is low-end and fixable – https://farm.bot and https://en.wikipedia.org/wiki/FarmBot
Only Fifty Years Ago – https://www.amazon.com/Only-Fifty-Years-Gladys-Carroll/dp/B00005WIKC
Dancing robots – https://www.youtube.com/watch?v=fn3KWM1kuAw
Expert human dancing – https://www.youtube.com/watch?v=vvmpc83nv4A
Open Source Ecology – https://www.opensourceecology.org/
Hot springs in Maine – https://www.tripadvisor.com/Attractions-g28940-Activities-c57-t61-Maine.html

My IBM Journey

While it is great to be 65 years old and ready to retire, I will certainly miss many IBM colleagues. So this post is to just share a few of many great memories, and lessons learned along the way:

1998

My first visit to IBM Research – Almaden was as an Apple DEST (Distinguished Engineer Scientist and Technologist) in June of 1998, while I was still working in Apple’s Advanced Technology Group. Ted Selker (IBM Fellow) had invited me to present at his annual User Experience conference. After my presentation about WorldBoard, a proposed planetary augmented reality system, I recall the next speaker was Larry Page, whose talk was about the little startup Google, that he and his Stanford classmate had recently founded to organize all the information in the world. At dinner that night, with just Ted, Larry, and I, at a French restaurant in downtown San Jose, Ted hinted that IBM was working on a heads up display technology that would be perfect for WorldBoard, and invited me to author a paper for IBM Systems Journal on Information in Places. Ashok Chandra, Ted Selker and Norm Pass (IBM Distinguished Engineer) recruited me to IBM Research, and it has been an exciting journey ever since – nearly 23 years later now.

Lesson from Paul Horn – leverage the matrix: On my first day of work at IBM Research, I asked Paul Horn (VP IBM Research) what was the secret of success at IBM? Without missing a beat, he instantly said “leverage the matrix” and then added “leverage the matrix to do big IBM-scale innovations that matter to our customers and the world.” For me, that translated to getting to know as many new IBMers as I could every week. To put this into practice, this advice means building a network of colleagues and champions across all parts of IBM, all business functions, all industries, and all geos. It was great advice, and I pass it along to all IBMers that I mentor.

From Research, I moved to work for Gerry Mooney (VP IBM Venture Capital Relations Group). He was just starting the group, and he asked me to be his CTO. This happened just as the Internet Bubble was in full swing. IBM had become a limited partner in key funds run by the top VC firms in Silicon Valley and globally. Our job was to create win-win relationships with startups. For example, one startup partnered with IBM, and IBM was able to close a billion dollar outsourcing deal with a large healthcare provider. The startup had a component that the customer needed, and IBM could provide the systems integration and other components of the complete solution. During the next ten years, IBM acquired about one company a month, with an average of $100M annual revenue each, so that translated into over a billion dollars of revenue growth per year just from acquisitions.

Lesson from Jim Corgel – do your homework: On my first meeting with a VC firm, Jim Corgel (VP SWG) and I made the call, because Gerry was tied up elsewhere. I literally met Jim C. for the first time in the elevator ride up to meet the big cheese VC. Jim C. asked if I had done my homework? I said I was still learning. Jim C. nodded, and then said he would do the talking. The venture firm leader began the conversation with “I have a couple startups that are going to put you out of business, IBM. Not even sure why I accepted this meeting.” Jim C. said “I have studied your portfolio and found several companies of interest.” The VC kept up his aggressive statements, and Jim C. kept up his polite replies. Finally there was a long pause. The VC said, “I am not sure we have anything else to talk about.” Jim C. then said, “Your company X is of interest. They recently made a sale to IBM customer Y.” The VC agreed that was a huge win for the startup. Jim C. then proceeded to tell the VC interesting details about the deal, that it was clear the VC did not know. Jim C. also indicated that IBM had been the trusted system integrator on the deal as well as provider of hardware, software, and service. Jim C. then asked “Would you like IBM to introduce your company to additional customers who might be interested in the startup’s innovation.” Suddenly, the VC’s body language totally changed, and the rest of the meeting was a huge success. On the elevator, I told Jim C. that was amazing. Jim C. just looked at me and said, “next time, do your homework.” That was the kick in the butt and guidance I needed to start looking for what mattered in my new CTO role – I needed to find the win-win-win-win situations that make business sense for an IBM customer, startup, VC, and IBM.

2002

By 2002 the Internet Bubble had burst, and it was time to hand the VC CTO role off to someone else who might benefit from the experience (Jurij Paraszczak, IBM Research). About that time, Paul Maglio (IBM Research) came to visit me at our IBM Ventures building in Menlo Park, and suggested that I return to IBM Research to lead a new group at IBM Almaden. With the support of Robert Morris who was Lab Director for Almaden at that time, we founded Almaden Service Research. The story of service science and the IBM Smarter Planet initiative have been told in many places – and both became Icons of Progress for IBM during the IBM Centennial, along with ninety-eight other achievements celebrated by IBM during its 100th birthday year 2011. Almaden Service Research, the group I led with Paul, made contributions to data-driven and science-driven service innovations for IBM and our customers. One of many highlights for me was when Mark Dean (then Lab Director for Almaden) hosted Sam Palmisano and the IBM Board of Directors at Almaden and I got to present to them.

Lesson from Nick Donofrio – keep learning and growing, become more T-shaped. Nick Donforio was a huge champion and advocate for T-shaped skills and service science. Nick gave me sound career advice on many fronts, and for me, Nick was the best example of what an IBMer should be like. He was super direct, fast to respond, and thoughtful/helpful in his advice to everyone. Nick would remind me, “if nothing changes, nothing changes” – whenever I would mention a big obstacle that had me stuck. Nick encouraged me to always look for ways to make a bigger contribution, and to let someone else have your old role, so that they can experience that part of IBM, and make their own unique contribution. In practice, this translates to don’t get too comfortable in any job role – keep looking for challenges and ways to make a bigger contribution. Avoid getting stuck in a rut, even if it is comfortable.

2010

While leading IBM Global University Programs (GUP) I visited universities in 45 countries. The six R’s of IBM GUP have been written about and include: Research, Readiness, Recruiting, Revenue, Responsibility, and Regions. Like the VC CTO role, this job was about finding win-win-win-win situations, for cities, their top universities, ecosystem partners, and IBM to work together. The transformation of higher education to accelerate lifelong learning is ongoing.

Lessons from travel and meeting hundreds of IBMers around the world – family first. Whereever I traveled, especially in developing nations, I had local IBMers pick me up at the airport, and escort me to the hotel, and to my universitiy visits, in Cairo, Manila, and cities around the world. All IBMers that I met put family first. What I truly enjoyed is that these global colleagues made me feel part of their families; inviting me to dinner with their family, meeting their friends, even going to the weddings of their children as a honored guest! This is a very special global family in unique ways that continues even into retirement.

2017

My final role in my IBM journey has been leading the Cognitive OpenTech Group – working on open source Data and AI technologies. Grateful to Todd Moore (VP OpenTech) and Willie Tejada (GM Developer Ecosystem Group) for providing me this exciting capstone opportunity for my career at IBM. IBM acquisition of Red Hat for $34B in 2019, certainly speaks to the growing importance of open source software in the world. AI workloads running in Hybrid Cloud environments on OpenShift is a big ecosystem transformation that is still underway. IBM has been a major contributor of Trusted AI open source software to the Linux Foundation AI and Data. The pandemic has accelerated the adoption of AI In the enterprise. Still AI is decades away from being solved, and will surely transform business and society in the coming decades. IBM is known for making long-term investments, like Quantum Computing that eventually pay off big for our customers and the world.

Lesson from Arvind Krishna and Jim Whitehurst – open source and speed of collaborative innovation: In January 2020, just before he became CEO of IBM, Arvind Krishna gave a talk about what IBM could learn from Red Hat about innovation. Arvind pointed out that when multiple companies contribute to an open source industry infrastructure there are “innovation speed advantages” as well as “customer co-creation of value opportunities” that are hard to achieve with a proprietary stack. Jim Whitehurst became President of IBM, and his book “The Open Organization” has many lessons about the advantages of a more open organization culture that leads to win-win-win-win situations.

2021

To retire during a pandemic is an odd thing. Normally IBMers get together in fairly large numbers (I know there are many jokes about this). Typically, we gather at some IBM location or well known local spot in large numbers to celebrate the retirement of a colleague. We enjoy telling stories, and radical candor. Lucky for me, as of June 2021, many IBMers are vaccinated. Before retiring I was able to have lunch with ten colleagues; even one who flew in (Jeffrey Borek, on his own nickle, took his first flight in over a year from Seattle for a day trip to San Jose, to wish a colleague a happy retirement). It was fun sharing stories. Many thanks to all who were present (Dr. Max’s great pictures) and all who wished they could have been there – and maybe will be for future events already being planned. It was a memorable send off for sure, including meeting a few more colleagues for bowling later that day (thank-you Josh Zheng).

Finally, I got an email from IBM HR (yes, mine has continued to work just fine, uninterrupted until I left). The email message title was “one more thing before you retire.” Curious, I opened the note. “Would you work for IBM again in the future? If yes, when would you be willing to start? What would you most like to do? Any other thoughts to share before you go?” My answers: Yes, maybe in about a year or so, but just a few hours a week, really anything where I can be helpful, but customer briefings and motivating new IBMers, who are just starting their IBM journey, are surely the most personally rewarding. The future is waiting, and ready to unfold in surprising and innovative ways.

References

Almaden USER Lab and Conferences – https://dl.acm.org/doi/abs/10.1145/985921.985989

Ashok Chandra – https://en.wikipedia.org/wiki/Ashok_K._Chandra

Gerry Mooney – https://www.linkedin.com/in/gerard-mooney-3b318/

GUP Six R’s – https://dl.acm.org/doi/10.1109/MC.2010.230

IBM Research – Almaden – https://en.wikipedia.org/wiki/IBM_Research

IBM’s Service Journey – https://www.researchgate.net/publication/308922682_IBM%27s_service_journey_A_summary_sketch

IBM Venture Capital Relations Group – https://www.ibm.com/innovation/venture-development

Information in Places – https://www.semanticscholar.org/paper/Information-in-Places-Spohrer/c406e28f844416a98e4802ce85520b67cda391aa

Jim Corgel – https://www.youtube.com/watch?v=Gm3cqVuOqMQ

Jim Spohrer – https://www.youtube.com/watch?v=Ri1-RvtRBCI&t=413s

Norm Pass – https://www.linkedin.com/in/norm-pass-7423b531/

Service Science (Icon of Progress) – https://www.ibm.com/ibm/history/ibm100/us/en/icons/servicescience/

Smarter Planet (Icon of Progress) – https://www.ibm.com/ibm/history/ibm100/us/en/icons/smarterplanet/

Surprise – https://www.forbes.com/sites/cognitiveworld/2019/02/25/surprise-ai-in-2019/?sh=6e9fc7fb248a

Ted Selker – https://en.wikipedia.org/wiki/Ted_Selker

WorldBoard – https://service-science.info/archives/2060

(over time I will add additional memories to this post I hope, so you might want to check back)

Skills For Industry online conference

June 29 and June 30, 2021 – Register Here: https://skills4industry.eu/skills-industry

Today, huge workforce change is underway:
…accelerated by pandemic (online) and technology (AI).

Historically, huge workforce change require education to change too:
…{agriculture} to manufacturing transition required elementary school
…{manufacturing, agriculture} to service transition required high school
…{service, manufacturing, agriculture} to knowledge worker transition required university

What’s next?
 …{knowledge, service, manufacturing, agriculture} to adaptive worker transition requires lifelong learning

Adaptive worker (new collar):
…is not locked into any simple career path progression
…regularly re-invents themself
…is positive about an adaptive identity; thrives by trying on new high-demand roles (upskilling)
…is a kind of serial entrepreneur – creating customers for the service they provide to business and society
…benefits from AI-powered smart tools, smart vehicles, smart systems, co-bots, etc.
…creates a series of digital worker versions of themself that may continue to earn and help others
…is a kind of hedge fund manager – investing their time, energy, capital wisely

Lifelong learners:
(1) Parents and their children
(2) Experienced and their apprentices
(3) Teachers/faculty and their students (formal education)
(4) Professionals and their mentees
(5) Career coaches and their adaptive workers
(6) Adaptive workers and their digital worker versions of themselves

Lifelong learning (formal education extensions):
Start earlier (Pre-K; social emotional learning to become positive about being an adaptive worker)
Go longer (New collar; high school+associate degrees to stay positive career planning that never stops)

Service science is an emerging transdiscipline that studies entities-interactions-outcomes
…the evolving ecology of service system entities, responsible entities learning
…their capabilities, constraints, rights, and resposibilities
…their value co-creation and capability co-elevation interactions

Service science 1.0 emphasized:
value co-creation (design)
trust (blockchain)
science of data-driven innovation (data science)
smart service service productivity, quality, compliance (AI, cloud, platforms, smartphone apps, IoT)
skills (agile teamwork, transdisciplinary)
T-shaped adaptive innovators (entrepreneurship, transdisciplinary)
Service-Dominant Logic (worldview)

Service science 2.0 emphasizes:
responsible entities learning (lifelong learning, adaptive worker)
service innovation roadmaps (upskilling, career planning, coaches and mentors, business model canvas)
trust (Trusted AI, open source, cybersecurity)
wiser service systems resilience, sustainability, equity (digital twins, agent-based, complexity economics)
local mega-trend (circular economy, farm to fork, robotic re-invention of local, local culture and tourism)
doubling down on service science 1.0

Please check out – and  like, comment, and retweet:

LinkedIn
https://www.linkedin.com/posts/carolaschulz_skills4industry-activity-6813730583437541376-lmvd
https://www.linkedin.com/feed/update/urn:li:activity:6814099267066699776/
https://www.linkedin.com/posts/carolaschulz_skills4industry-youtube-activity-6813432892505632768–Obb/

Twitter Posts
https://twitter.com/eskillseurope/status/1408072971772522506
https://twitter.com/eskillseurope/status/1408303946163134464
https://twitter.com/eskillseurope/status/1407284675350040579

Congratulations June 8th ISSIP Discovery Summit Contributors

The following individuals are receiving ISSIP Knowledge Sharing – Eminence badges for their significant contributions to the June 8th, 2021 ISSIP Discovery Summit Future of Work Series- Hybrid Workplace: Opportunities After The Crisis

Alex Kass
Anil Dindigal
Dart Lindsley
David Stanford
Gerhard Gudergan
Kevin G Crowston
Michele Guel
Mini Khroad
PK Agarwal
Terri Griffith
Ulf Vinneras
Wendy Belluomini
Yassi Moghaddam

Badge recipients can add this to their LinkedIn profiles “Licenses and certifications” section.

Smart Service Systems

Call for papers

In addition to the HICSS Conference call for papers in Smart Service Systems Design (due date June 15, 2021)

Please also consider this opportunity: Zurich Summit Call for Papers

Smart Services Summit – Zurich, 22 October 2021

Smart Services supporting the new-normal

Following on from the Summit in 2020, where the focus was on digital as an enabler for smart services, this year we want to focus on how Smart Services have allowed firms to adapt in the COVID-19 pandemic. Examples of remote and collaborative working have created new forms of co-delivery where customers are integrated into the service processes. Such a change requires a mindset change for more traditional firms as the service model migrates from ‘do it for you’ to ‘do it yourself’ or some mix of ‘do it together’. Considering service science, the switch makes perfect sense as it means that the full set of resources within the ecosystem are now being used rather than only a part. Services can be delivered faster and at lower costs with the support of new technologies and when working with the customer in a co-delivery mode. The changes are leading to new value propositions and business models today and will lead to an evolution in Smart Services in the future. The changes themselves must be understood, and we may need to consider new or different implementation and delivery models for Smart Services. These new working approaches may also requite use to re-evaluate both training and education.

The summit in 2021 aims to assess new and emerging services that are enabled by technology and where the services are co-delivered to support the emerging new-normal. In doing so, we hope to answer some of these questions:
… how is the service quality impacted through digital technologies?

… how can you transform the customer (or a third-party) into a service partner? … how does collaborative working impact value co-creation?
… what is the impact of smart services on customer experience?
… how does the nature of the service delivery change?

The pre-COVID19 context and the challenges faced should, where possible, be described so that the initial state can be clearly understood. Although the focus will be on COVID-19 and its impact on Smart Services, papers on emerging research on the full lifecycle (e.g, pre-sales, sales, delivery etc.) of Smart Services remain appreciated.

As with previous years, we are looking for early-stage research and will again publish the proceedings with Springer. Furthermore, we will use industry to set the scene and the context from their position and follow them with impactful academic presentations. We anticipate that we will have a physical summit in Zürich!

Summit Chairs

Prof. Dr. Shaun West, Hochschule Luzern, shaun.west@HSLU.ch
Dr. Jürg Meierhofer, ZHAW School of Engineering, juerg.meierhofer@zhaw.ch
Utpal Mangla, VP and Senior Partner in IBM Services

Keywords

Smart Services; Industry4.0; Product-Service Systems; Value Co-creation; Service Quality; COVID-19; Service Science; Service Design.

Submission procedure

i. Write a short abstract: https://bit.ly/3u73P8O
ii. Short abstract submission: 2 July, 2021 to https://bit.ly/2S8kJ9L
iii. Notification of acceptance: 16 July, 2021
iv. Full paper submission: 31 August, 2021
Acceptance of papers is based on the full paper (up to 8 pages). All papers will be peer reviewed.

Proceedings from 2020

The proceedings from 2020 will be published in June 2021 (https://www.springer.com/gp/book/9783030720896).

Upskilling as an antidote to Deaths of Despair

Andre Richier recently suggested some readings that are eye-opening. Andre clearly sees the link between the lack of skills and stress at work, poor (mental) health, diminishing productivity etc.

The book “Deaths of Despair and the Future of Capitalism” by Case and Deaton speaks directly to the dramatically increased death rate (including suicides) of less educated Americans who experience despair.

The article “Mental health in the workplace: The coming revolution” by Pfeffer and Williams paints an even broader picture. During the pandemic, the issues have intensified around workplace stress and lack of access to mental health service faced by too many workers, under employed, and unemployed. Some anxiety may be the result of lack of appreciation of workers, and the stigma associated with the label “low-skilled” worker. Depression is not uncommon in high skill professionals too, and the Pfeffer and WIlliams article refers to the brave online commentary by Lenny Mendoca “I faced a challenge one out of every three people in America has: Depression and anxiety.”

There is an urgent need for wide-scale upskilling, but change and the need to upskill generates stress for most people. Nevertheless, upskilling for shared prosperity is the key to economic prosperity for people and their regions. Upskilling which allows people to move to higher value work is especially important in the age of AI, which is creating an ever more abundant supply of labor (AI-based digital workers and co-workers).

Upskilling can be an antidote to Deaths of Despair. First, we must realize that upskilling is not just about learning new technical skills, nor is it always about getting a college degree. Upskilling can happen in many ways.

Upskilling should be based on a strong foundation, including grit and growth mindsets and other positive attitudes, that prepare the way for learning challenging and exciting technical skills. Part of that strong foundation is social and emotional learning at an early age. At every stage of life, additional social and emotional learning skills are needed. At IBM and ISSIP.org, we see this social and emotional learning as the broad part of being a T-shaped professional and adaptive innovator. The broad part of the T-shaped professional is also closely related to empathy. Beyond empathy (understanding the problems of others), compassion-driven innovation (understand + act to solve problems of others) is important.

Upskilling of people from jobs in agriculture to manufacturing and to service has been happening relatively slowly. However, the pandemic has accelerated technology-driven change. The driving force has been accelerating technological and economic change that increases productivity and quality of work systems with digital service (abundant labor). The pandemic has also lead to a reassessment of what work people want to be doing.

More properly valuing all types of work as well as better understanding the changes coming to work and skills is a first important step to overcoming stress and worry. As AI improves service system productivity, what will future service jobs be like? Over the next few decades, we can expect: (1) more people working with co-robots and AI-based digital workers, (2) more gig workers (flex-workers) using digital platforms, both labor and capital platforms, (3) more entrepreneurs with regional support incentives that allow safer risk taking, and accelerating the shift from jobs of today to jobs of the future. Even a failed startup can improve the skills mix of a region, and that is a good thing.

References

Alter S (2021) How Well Do Service Concepts Apply to Digital Services and Service Digitalization? In Proceedings of the 53rd Hawaii International Conference on System Sciences 2020 Jan 7.URL: http://128.171.57.22/bitstream/10125/63886/1/0118.pdf

Bose P, Mincer J, Kleinman D (2020) Robots May Be the Right Prescription for Struggling Nursing Homes. Karen Eggleston and Yong Suk Lee speak to the Oliver Wyman Forum on how robotics and advancing technologies are helping staff in Japanese nursing homes provide better and safer care to their patients. Stanford FSI Interview. 20200611 URL: https://fsi.stanford.edu/news/robots-may-be-right-prescription-struggling-nursing-homes

Bower B (2020) ‘Deaths of despair’ are rising. It’s time to define despair; Scientists investigate whether despair is distinct from mental disorders. Science News online. 20201102 URL: https://www.sciencenews.org/article/deaths-of-despair-depression-mental-health-covid-19-pandemic

Case A, Deaton A (2020) Deaths of Despair and the Future of Capitalism. Princeton University Press; 2020 Mar 17. URL: https://www.amazon.com/Deaths-Despair-Future-Capitalism-Anne/dp/069119078X

Dubner SJ (2021) How to Stop Worrying and Love the Robot Apocalypse. URL: https://podcasts.apple.com/us/podcast/freakonomics-radio/id354668519?i=1000520382027

Duckworth A (2016) Grit: The power of passion and perseverance. New York, NY: Scribner; 2016 May 3.

Dweck CS (2008) Mindset: The new psychology of success. Random House Digital, Inc.; 2008.

Dweck C (2015) Carol Dweck Revisits the ‘Growth Mindset’. EdWeek Commentary online.
20150902 URL: https://www.edweek.org/leadership/opinion-carol-dweck-revisits-the-growth-mindset/2015/09

Gada K (2021) Automation is Nothing New; It Has Been Underway for Two Centuries. URL: https://www.youtube.com/watch?v=5gbhb5IElME

Hansen MT (2010) IDEO CEO Tim Brown: T-Shaped Stars: The Backbone of IDEO’s Collaborative Culture. 20100121 URL: https://chiefexecutive.net/ideo-ceo-tim-brown-t-shaped-stars-the-backbone-of-ideoaes-collaborative-culture__trashed/

Ignatius, D (2021) Arvind Krishna, IBM Chairman & CEO, on digital innovations and the future of work (Full Stream 5/6). Washington Post Live. URL: https://www.youtube.com/watch?v=6qel4ggstaA

Long H (2021) It’s not a ‘labor shortage.’ It’s a great reassessment of work in America. Hiring was much weaker than expected in April. Wall Street thinks it’s a blip, but there could be much deeper rethinking of what jobs are needed and what workers want to do on a daily basis. The Washington Post/Economic Assessment online. 20210507 URL: https://www.washingtonpost.com/business/2021/05/07/jobs-report-labor-shortage-analysis/

Lowery A (2021) Low-Skill Workers Aren’t a Problem to Be Fixed: The label “low-skill” flattens workers to a single attribute, ignoring the capacities they have and devaluing the jobs they do. The Atlantic online 20210414 URL: https://www.theatlantic.com/ideas/archive/2021/04/theres-no-such-thing-as-a-low-skill-worker/618674/

Melis F (2021) Vision. IgniteFuture.Today website. URL: https://ignitefuture.today/eng/info/vision

Mendoca L (2020) I faced a challenge one out of every three people in America has: Depression and anxiety. CalMatters Online: My Turn – Guest Commentary.
20200707 URL: https://calmatters.org/commentary/my-turn/2020/07/i-faced-a-challenge-one-out-of-every-three-people-in-america-has-depression-and-anxiety/

Perkins-Gough D (2013) The significance of grit: A conversation with Angela Lee Duckworth. Educational Leadership. 2013 Sep 1;71(1):14-20. URL: https://www.wwva.org/wp-content/uploads/2017/10/0BzUD8_mWA_OUVXJFaHhMU0xObjg.pdf

Pfeffer J, Williams L (2020) Mental health in the workplace: The coming revolution. McKinsey Quarterly Online. 20201208 URL: https://www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/mental-health-in-the-workplace-the-coming-revolution

Probst L, Scharff C (2017) Upskill: 6 Steps to unlock economic prosperity for all. URL: https://www.amazon.com/Upskill-Laurent-Probst/dp/1912850664/

Reineke N, Yehuda H, Slapak D (2021) Compassion-Driven Innovation. Business Expert Press. URL: https://compassiondriveninnovation.com/

Spohrer J (2020) Online Platform Economy and Gig Workers: A USA Perspective. Slideshare presentation. 20201209 URL: https://www.slideshare.net/spohrer/20201209-jim-spohrer-platform-economy-v3

WEF and PWC (2021) Upskilling for shared prosperity. World Economic Forum, in collaboration with PWC. 20210125 URL: https://www.weforum.org/reports/upskilling-for-shared-prosperity

WEF (2021) Building a Common Language for Skills at Work A Global Taxonomy. World Economic Forum. URL: http://www3.weforum.org/docs/WEF_Skills_Taxonomy_2021.pdf

Williamson B. Psychodata: disassembling the psychological, economic, and statistical infrastructure of ‘social-emotional learning’. Journal of Education Policy. 2021 Jan 2;36(1):129-54. URL: https://www.researchgate.net/profile/Ben-Williamson-2/publication/336267336_Psychodata_disassembling_the_psychological_economic_and_statistical_infrastructure_of_%27social-emotional_learning%27/links/5d9af7cba6fdccfd0e7f325f/Psychodata-disassembling-the-psychological-economic-and-statistical-infrastructure-of-social-emotional-learning.pdf

Wladalsky-Berger I (2021) The Urgent Need for Wide-Scale Upskilling. 20210508 URL: https://blog.irvingwb.com/blog/2021/05/the-urgent-need-for-wide-scale-upskilling.html?cid=6a00d8341f443c53ef0263e9a32980200b#comment-6a00d8341f443c53ef0263e9a32980200b

HICSS 2022: Call for Papers

Hawaiian International Conference on Systems Sciences (HICSS)
HICSS-55 2022, Jan 4-7, 2022, Hyatt Regency, Maui, HI USA [1]

Call for Papers (Deadline June 15th) – some ISSIP.org related Sessions

Track: Decision Analytics and Service Science [2]
Co-Chair: Christer Carlsson (Abo, Finland), Haluk Demirkan (UWashington Tacoma, USA)

Minitrack: Smart Service Systems Design [3]
Co-Chairs: Ralph Badinelli (VaTech, USA), Jim Spohrer (IBM, USA), Haluk Demirkan (UWashington Tacoma, USA)

Minitrack: Case studies of Artificial Intelligence, Business Intelligence, Analytics Technologies for Industry Platforms [4]
Co-Chairs: Maarit Palo (IBM, Finland), Pekka Neittaanmaki (UJyvaskyla, Finland), Jim Spohrer (IBM, USA)

Minitrack: Education, Research, and Application of Quantum Computing [5]
Co-Chairs: Bob Sutor (IBM, USA), Andrew Wack (IBM, USA)
Additional Contact: JoAnn Winson (IBM, USA)

Minitrack: Practitioner research insights applications of science and technology to real world innovations [6]
Co-Chairs: Terri L. Griffith (Simon Fraser, Canada), Utpal Mangla (IBM, Canada), Ammar Rayes (Cisco, USA), Heather Yurko (Facebook,USA)
Advisory Board Members (USA): Haluk Demirkan (UWashington Tacoma), Ralph Badinelli (Virginia Tech), Yassi Moghaddam (ISSIP), Rahul Basole (Accenture)

Minitrack: Managing the Dynamics of Platforms and Ecosystem [7]
Co-Chairs: Hannes Rothe (FU – Berlin, Germany) , Kaisa Still (UOulu, Finland), Jukka Huhtamäki (TampereU, Finland)
Adviosory Board Members: Rahul C. Basole (Accenture, USA), Martha Russell (Stanford, USA), Jim Spohrer (IBM, USA) and many others globally

Minitrack: Service Analytics [8]
Minitrack Co-Chairs (Germany): Hansjoerg Fromm (KIT), Niklas Kuhl (KIT), Gerhard Satzger (IBM), Thomas Setzer (UEichstatt-Ingostadt)

Minitrack: Service Science [9]
Co-chairs: Paul Maglio (UMerced, USA), Fu-ren Lin (Tsing-Hua, Taiwan)

Important Dates
April 15, 2021: Paper submission system opens
June 15, 2021: Deadline for paper submission [10]
August 17, 2021: Notification of Acceptance/Rejection
September 22, 2021: Deadline for authors to submit final manuscript
October 1, 2021: Deadline for at least one author of each paper to register for HICSS-55

Additional ISSIP Promoted Conferences
1. AHFE HSSE (USA or Europe, usually Orlando, Las Vega, Los Angeles, New York, Washington DC) – usually July (most years) – mostly engineering and design schools
2. Naples Forum (Naples) every other year usually June (this year Sept) – mostly management and marketing schools
3. HICSS (Hawaii) – every year January – mostly information systems
4. Serviceology (Japan) – every other year usually Feb – mostly computer scientists and operations research
5. Frontiers in Service (USA, and global) – usually June (most years) – mostly marketing and management schools, some operations research
6. AMA ServSIG – marketing
7. PICMET – management of technology
8. Italian IoT – computer science
9. INFORMS Service Science – operations research
10. AAAI FSS – computer science, government
11. TBD

References
[1] HICSS Website: https://hicss.hawaii.edu/

[2] Track: Decision Analytics and Service Science Track
Haluk Demirkan’s Linked Blog;
https://www.linkedin.com/pulse/call-papers-decision-analytics-service-science-track-haluk/
HICSS Website: https://hicss.hawaii.edu/tracks-55/decision-analytics-and-service-science/

[3] Minitrack: Smart Service Systems Design Minitrack
Haluk Demirkan’s LinkedIn Blog: https://www.linkedin.com/pulse/call-papers-hicss-55-smart-service-systems-design-haluk/
HICSS Website: https://hicss.hawaii.edu/tracks-55/decision-analytics-and-service-science/#smart-service-systems-design-minitrack

[4] Minitrack: Case studies of Artificial Intelligence, Business Intelligence, Analytics Technologies for Industry Platforms
HICSS Website: https://hicss.hawaii.edu/tracks-55/decision-analytics-and-service-science/#case-studies-of-artificial-intelligence-business-intelligence-analytics-technologies-for-industry-platforms-minitrack

[5] Minitrack: Education, Research, and Application of Quantum Computing minitrack
HICSS Website:
https://hicss.hawaii.edu/tracks-55/decision-analytics-and-service-science/#education-research-and-application-of-quantum-computing-minitrack

[6] Minitrack: Practitioner Research Insights: Application of Science and Technology to Real World Innovations
HICSS Website:
https://hicss.hawaii.edu/tracks-55/decision-analytics-and-service-science/#practitioner-research-insights-applications-of-science-and-technology-to-real-world-innovations-minitrack

[7] Minitrack: Managing the Dynamics of Platforms and Ecosystems
https://www.wiwiss.fu-berlin.de/fachbereich/bwl/pwo/rothe/news/HICSS2022_platforms.html

[8] Minitrack: Service analytics
HICSS Website: https://hicss.hawaii.edu/tracks-55/decision-analytics-and-service-science/#service-analytics-minitrack

[9] Mnitrack: Service Science
HICSS Website: https://hicss.hawaii.edu/tracks-55/decision-analytics-and-service-science/#service-science-minitrack

[10] HICSS Submission
HICSS Website: https://hicss.hawaii.edu/authors/

ISSIP Discovery Summit: AI and Automation

Call for Papers/speakers

AI is increasingly being applied in use cases involving optimization, decision support, and automation. AI-powered systems are poised not only to assist, and augment human capacity in some cases, but also carry out routine to complex tasks in other cases freeing up human time for innovative tasks. This is already starting to change the future and nature of work humans do. While robotic automation has been prevalent in manufacturing industry for decades now, a new breed of autonomous systems are making their way into various domains ranging from autonomous vehicles, drones, automatic fruit pickers, biometric-based security systems, to business process automation. In this workshop, we invite speakers from academia and industry to share their perspectives on the role of AI in driving automation and decision support. While perspectives from all industries are encouraged, special focus on use cases related to opportunities for AI in automating IT system development, management as applied to the Financial services industry is appreciated.

Suggested Themes include but are not limited to

  1. Autonomic Computing 
  2. AI-powered automation
  3. Decision Support
  4. Human-Aware AI systems

Suggested AI for Automation Topics include but are not limited to

  1. Software Modernization
  2. IT automation including IT operations management, Incident management, proactive issue resolution, event management.
  3. Software development lifecycle automation including code vulnerability analysis, software quality management, deployment change risk prediction, compliance management etc.
  4. Software delivery automation including application performance monitoring, resource and cost optimization on Cloud and non-Cloud environments
  5. Business automation including workforce management, case management, policy and compliance management, process exception handling
  6. Robotic Process Automation
  7. Intelligent Process Automation
  8. IT & Business process mining and analysis
  9. Software development lifecycle optimization for better manageability (Code analysis, deployment artifact analysis, test analysis)
  10. Digital Twins in the workplace

Call for Papers: HICSS 2022 – Smart Service Systems Design Mini-track

Call for Papers: HICSS 2022 – Smart Service Systems Design Mini-track

Please consider sharing with your colleagues and/or submitting a paper.

Hopefully in person event – Jan 4-7, 2022, Maui, HI USA

Many thanks and please share with colleague who may have an interet,

Ralph, Jim, and Haluk (co-chairs)
Minitrack URL: https://hicss.hawaii.edu/tracks-55/decision-analytics-and-service-science/#smart-service-systems-design-minitrack

References

Alter S. Applying Socio-technical Thinking in the Competitive, Agile, Lean, Data-Driven World of Knowledge Work and Smart, Service-Oriented, Customer-Centric Value Creation Ecosystems. Complex Systems Informatics and Modeling Quarterly. 2019 Apr 29(18):1-22.

Badinelli RD. Modeling service systems. Business Expert Press; 2015 Nov 27.

Barile S, Polese F. Smart service systems and viable service systems: Applying systems theory to service science. Service Science. 2010 Jun;2(1-2):21-40.

Beverungen D, Müller O, Matzner M, Mendling J, Vom Brocke J. Conceptualizing smart service systems. Electronic Markets. 2019 Mar;29(1):7-18.

Cong JC, Chen CH, Zheng P, Li X, Wang Z. A holistic relook at engineering design methodologies for smart product-service systems development. Journal of Cleaner Production. 2020 Nov 1;272:122737.

Demirkan H, Bess C, Spohrer J, Rayes A, Allen D, Moghaddam Y. Innovations with smart service systems: analytics, big data, cognitive assistance, and the internet of everything. Communications of the association for Information Systems. 2015;37(1):35.

Demirkan H, Badinelli R, Spohrer J. Introduction to the Minitrack on Smart Service Systems with Analytics and Open Tech Artificial Intelligence.

Demirkan H, Spohrer J, Badinelli R. Introduction to the Minitrack on Smart Service Systems: Analytics, Artificial Intelligence and Cognitive Applications. InProceedings of the 52nd Hawaii International Conference on System Sciences 2019 Jan 8.

Frost R, Lyons K. Service systems analysis methods and components: a systematic literature review. Service Science. 2017 Sep;9(3):219-34.

Halstenberg FA, Lindow K, Stark R. Leveraging Circular Economy through a Methodology for Smart Service Systems Engineering. Sustainability. 2019 Jan;11(13):3517.

Han SC. Dynamics of trending topics: smart service systems using trending topics (Doctoral dissertation, University of Tasmania).

Hirt R, Kauhl N. Cognition in the era of smart service systems: Inter-organizational analytics through meta and transfer learning.

Keskin T, Kennedy D. Strategies in smart service systems enabled multi-sided markets: Business models for the internet of things. In2015 48th Hawaii international conference on system sciences 2015 Jan 5 (pp. 1443-1452). IEEE.

Larson RC. Commentary—Smart service systems: Bridging the silos. Service Science. 2016 Dec;8(4):359-67.

Le DT, Thi TT, Pham-Nguyen C. Towards a Context-Aware Knowledge Model for Smart Service Systems. InInternational Conference on Computational Collective Intelligence 2020 Nov 30 (pp. 767-778). Springer, Cham.

Lim C, Maglio PP. Data-driven understanding of smart service systems through text mining. Service Science. 2018 Jun;10(2):154-80.

Liu X, Anand R, Xiong G, Shang X, Liu X. Big Data and Smart Service Systems. Academic Press; 2016 Nov 23.

Maglio PP. Smart service systems, human-centered service systems, and the mission of service science.

Martin D, Hirt R, Kühl N. Service systems, smart service systems and cyber-physical systems—what’s the difference? towards a unified terminology.

Medina-Borja A. Smart human-centered service systems of the future. Center for Research and Development Strategy, Japan Science and Technology Agency, Future Services & Societal Systems in Society. 2017;5.

Poeppelbuss J, Durst C. Smart Service Canvas–A tool for analyzing and designing smart product-service systems. Procedia CIRP. 2019 Jan 1;83:324-9.

Poniszewska-Maranda A, Kaczmarek D, Kryvinska N, Xhafa F. Studying usability of AI in the IoT systems/paradigm through embedding NN techniques into mobile smart service system. Computing. 2019 Nov;101(11):1661-85.

Sawatani Y, Spohrer J, Kwan S, Takenaka T. Serviceology for Smart Service System. Springer, Tokyo; 2017.

Spohrer J, Bassano C, Piciocchi P, Siddike MA. What makes a system smart? wise?. InAdvances in the human side of service engineering 2017 (pp. 23-34). Springer, Cham.

Spohrer J, Demirkan H, Lyons K. Social value: a service science perspective. InService Systems Science 2015 (pp. 3-35). Springer, Tokyo.

Troisi O, Visvizi A, Grimaldi M. The different shades of innovation emergence in smart service systems: the case of Italian cluster for aerospace technology. Journal of Business & Industrial Marketing. 2021 Jan 29.

Wolf V, Franke A, Bartelheimer C, Beverungen D. Establishing smart service systems is a challenge: a case study on pitfalls and implications. Wirtschaftsinformatik. 2020.

Wessel L, Davidson E, Barquet AP, Rothe H, Peters O, Megges H. Configuration in smart service systems: A practice‐based inquiry. Information Systems Journal. 2019 Nov;29(6):1256-92.

Wünderlich NV, Heinonen K, Ostrom AL, Patricio L, Sousa R, Voss C, Lemmink JG. “Futurizing” smart service: implications for service researchers and managers. Journal of Services Marketing. 2015 Sep 14.

Thanks, -Jim