Research on digitalization 2024 week 46
People and AI make poor decisions together; leadership as attention; leading co-production + state-driven innovation, dynamic marketing, artificial intelligence and agility, learning from mistakes
Teaching case from Norway
Interesting lessons learned from the parental benefits development project that illustrated coordinationg changes in large development efforts, developed by Torgeir Dingsøyr, professor at NTNU and associated with us at EDOS.
Human decisions with artificial intelligence
WHAT? Australian review of research on how humans make decisions in collaboration with artificial intelligence.
It’s INTERESTING that:
Twenty-four factors influencing decisions were identified and categorized into environmental, robot, human, and communication factors. All but one of the selected studies were based on laboratory experiments, making it difficult to determine their validity in broader contexts.
Cognitive load was the most significant issue, followed by user interface, trust, and other factors.
Proposed solutions largely focus on better user interfaces, improved data visualization, and enhanced functionality in artificial intelligence.
SO WHAT?
Yuval Harari and others have suggested that humanity will soon evolve into a new species that integrates artificial and human intelligence. This points out that we still have a long way to go.
The fundamental problem seems to be that humans and machines will misunderstand each other, and the solutions aim to reduce these misunderstandings..
Leadership and governance in terms of attention
WHAT? American, German, Swiss, and British article about “attention-based view”, ABV) on organizations in connection with a special issue of the journal Strategic Organization.
INTERESTING is that:
ABV defines strategy as an organizational pattern of time and effort on issues and alternatives, with attention being a crucial scarce resource.
The quality of attention is a function of focus and stability. The time spent on applied attention affects direct results and learning. Attention characteristics include stability, vividness, and conceptual coherence.
There is also research on what influences attention, both from individuals internally and from the environment.
SO WHAT?
I have experienced organizations paying a lot of attention to what top management focuses on, largely because it hints at what is truly prioritized (as opposed to what they ideally should prioritize).
This relatively new field can provide valuable insights, as attention involves behavior that can be observed, detected, and possibly measured..
Leading co-production
WHAT? Swedish and British review of the literature on co-production
It’s INTERESTING that:
There are three different models of leadership in co-production: individual leaders, “co-leadership,” and collective leadership.
Nine types of practices are associated with leading co-production: initiating co-production, sharing power, training and development, support, building mutual trust, communication, network building, orchestration, and implementation.
This is a complex field and demanding practice – the authors call for more research on people and roles, leadership models, and more on effective practices.
AND SO?
The authors also note that most of the research focuses on “old” leadership models, despite the fact that co-production differs from them.
Shared leadership often sounds fine, but it is not easy to disentangle responsibilities, activities, roles, etc., per a somewhat idealistic model.
Bonus
Critical essay about Mariana Mazzucato’s research on public innovation
Overview of dynamic marketing capabilities
Opportunities for good use of artificial intelligence in agile development
American study about learning from mistakes, some preliminary findings
Next week: Public administration in authoritarian regimes; organizational rules as system requirements; mastering adaptive learning + dynamic data in building structures; digital evidence of the Holocaust; contagious resignations.