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Journal Article
The European Business Review
Mandy Hübener, Bianca Schmitz, Bethan Williams (2021)
Subject(s)
Economics, politics and business environment
Keyword(s)
Leadership, MBA, executive education
To guarantee maximum ROI for its clients, executive education needs to fulfil some key criteria. The content must be tailored to individuals’ profoundly personal career paths, knowledge gaps, and blind spots, and the format must also suit the learning style and working context of each participant (podcasts, TED talks, print – no learning method is invalid). Self-paced online modules are a good step in this direction, allowing a decoupling from the rigid corporate calendar or the availability of teaching faculty. But individualization must also mean creating regular opportunities to reflect on and assimilate new skills and knowledge. Furthermore, executive participants should feel they have the toolkit and the support network they need to continue their learning journey long after they leave campus.
Subject(s)
Information technology and systems; Strategy and general management; Technology, R&D management
Keyword(s)
Cybersecurity, cyberattack, cyber defence
Cyberattacks have become part of every company’s daily routine. Every business leader must therefore prepare for a situation in which their company is successfully attacked. Defending against a cyberattack requires many parallel activities – assessing the impact, implementing technical defense measures, collecting evidence, rebuilding reliable IT systems and business processes, and communicating with customers and partners. The article describes five lessons that will help business leaders on Day X to successfully manage a serious and complex cyberattack.
ISSN (Print)
0015-6914
ESMT Working Paper
ESMT Working Paper No. 20-03 (R2)
Forthcoming in Management Science.
Francis de Véricourt, Huseyin Gurkan, Shouqiang Wang (2021)
Subject(s)
Health and environment; Information technology and systems
Keyword(s)
Public health, epidemic control, information design, strategic behavior
This paper explores how governments may efficiently inform the public about an epidemic to induce compliance with their confinement measures. Using an information design framework, we find the government has an incentive to either downplay or exaggerate the severity of the epidemic if it heavily prioritizes the economy over population health or vice versa. Importantly, we find that the level of economic inequality in the population has an effect on these distortions. The more unequal the disease's economic impact on the population is, the less the government exaggerates and the more it downplays the severity of the epidemic. When the government weighs the economy and population health sufficiently equally, however, the government should always be fully transparent about the severity of the epidemic.


Pages
41
ISSN (Print)
1866–3494
Journal Article
Journal of European Competition Law and Practice 11 (10): 610–622
Özlem Bedre-Defolie, Rainer Nitsche (2020)
Subject(s)
Economics, politics and business environment
Keyword(s)
Platforms, tipping, dynamic competition
Multi-sided platform markets have tendency to “tip”, that is, one MSP takes it all or dominates the market by far. Due to dynamics of these markets it is however challenging to identify which markets will tip and the characteristics of tipping candidates ex-ante (before tipping). The European Commission has expressed the need for a new competition tool to identify and assess the likelihood of tipping. Based on a review of factors that foster and mitigate tipping we propose four key questions that may help in ranking multi-sided platform markets by the likelihood of tipping. Tipping is less likely if there are factors that 1) diminish the value of a growing multi-sided platform, 2) ease smaller rivals’ user acquisition, 3) make smaller rivals attractive to at least some users, and 4) make none of the established platforms stronger via activities in another market.
Volume
11
Journal Pages
610–622
Subject(s)
Management sciences, decision sciences and quantitative methods
Keyword(s)
Service, big data, machine learning
In this short paper, we discuss the impact of data analytics in services and delineate future research directions for the field. After illustrating how data analytics are transforming different service sectors, we consider the provision of data analysis as a service in its own right. We discuss how the very nature of data and certain features of the machine learning method give rise to new issues and pitfalls for the management of these services, which delineates as many future research directions. We also discuss the co-production of services by humans and machines, and call for more research on responsible data analytics services to tackle some of the most pressing ethical issues in our societies.
Copyright © 2020, INFORMS
Volume
12
Journal Pages
121–174
ISSN (Online)
2164-3970
Journal Article
Journal of Organization Design 9 (24)
Linus Dahlander, Henning Piezunka (2020)
Subject(s)
Strategy and general management
Keyword(s)
Crowdsourcing, organizational design, innovation
Crowdsourcing—asking an undefined group of external contributors to work on tasks—allows organizations to tap into the expertise of people around the world. Crowdsourcing is known to increase innovation and loyalty to brands, but many organizations struggle to leverage its potential, as our research shows. Most often this is because organizations fail to properly plan for all the different stages of crowd engagement. In this paper, we use several examples to explain these challenges and offer advice for how organizations can overcome them.
Volume
9
ISSN (Online)
2245-408X
Book Chapter
In High Impact Investing: Erfolgsfaktoren für die Finanzierung von Social-Entrepreneurship-Projekten, edited by Bernd Bernd Fischl, 69–77. Gräfelfing Munich: Realis Verlag.
Subject(s)
Entrepreneurship; Ethics and social responsibility; Finance, accounting and corporate governance; Strategy and general management
Keyword(s)
Social return on investment, sustainability, high impact investing, social responsibility
Secondary Title
High Impact Investing: Erfolgsfaktoren für die Finanzierung von Social-Entrepreneurship-Projekten
Pages
69–77
ISBN
978-3930048847
Subject(s)
Management sciences, decision sciences and quantitative methods; Product and operations management; Technology, R&D management
Keyword(s)
Machine-learning, rational inattention, human-machine collaboration, cognitive effort
The rapid adoption of AI technologies by many organizations has recently raised concerns that AI may eventually replace humans in certain tasks. In fact, when used in collaboration, machines can significantly enhance the complementary strengths of humans. Indeed, because of their immense computing power, machines can perform specific tasks with incredible accuracy. In contrast, human decision-makers (DM) are flexible and adaptive but constrained by their limited cognitive capacity. This paper investigates how machine-based predictions may affect the decision process and outcomes of a human DM. We study the impact of these predictions on decision accuracy, the propensity and nature of decision errors as well as the DM's cognitive efforts. To account for both flexibility and limited cognitive capacity, we model the human decision-making process in a rational inattention framework. In this setup, the machine provides the DM with accurate but sometimes incomplete information at no cognitive cost. We fully characterize the impact of machine input on the human decision process in this framework. We show that machine input always improves the overall accuracy of human decisions, but may nonetheless increase the propensity of certain types of errors (such as false positives). The machine can also induce the human to exert more cognitive efforts, even though its input is highly accurate. Interestingly, this happens when the DM is most cognitively constrained, for instance, because of time pressure or multitasking. Synthesizing these results, we pinpoint the decision environments in which human-machine collaboration is likely to be most beneficial.
Pages
40
ISSN (Print)
1866–3494
Subject(s)
Information technology and systems
Keyword(s)
Surveillance, constitutional law, human rights, freedom of information, freedom of expression, journalism, disinformation, fake news
The Federal Chancellery recently finished its first draft of the revised Foreign Intelligence Service Law (BND-Gesetz) that has become necessary subsequent to the judgment of the Federal Constitutional Court in May of 2020. While the draft bill contains numerous improvements, some crucial provisions pertaining to the treatment of journalists and their trusted sources remain insufficient. The article analyses some of the problems.
Journal Article
Journal of Organization Design 9 (23)
Prithwiraj Choudhury, Kevin Crowston, Linus Dahlander, Marco S. Minervini, Sumita Raghuram (2020)
Subject(s)
Strategy and general management; Technology, R&D management
Keyword(s)
Organizational design, new forms of organizing, remote work, all remote, virtual organizations, COVID-19
GitLab is a software company that works “all remote” at the scale of more than 1000 employees located in more than 60 countries. GitLab has no physical office and its employees can work from anywhere they choose. Any step of the organizational life of a GitLab employee (e.g., hiring, onboarding and firing) is performed remotely, except for a yearly companywide gathering. GitLab strongly relies on asynchronous coordination, allowing employees to work anytime they want. After highlighting some of the main practices implemented by GitLab to effectively work all remotely and asynchronously, I asked renowned organizational scientists their thoughts on this interesting case and to question the generalizability of the all remote asynchronous model. Understanding whether and under what conditions this model can succeed can be of guidance for organizational designers that are now considering different remote models in response of the COVID-19 shock and its aftermath.
Volume
9
ISSN (Online)
2245-408X