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Business Resilience and Complex adaptive systems

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The complex adaptive system has facilitated advances in artificial intelligence (Moon et al., 2011; Padilla, 2012; Chandrasekaran, 2013; Yagüe & Balmaseda; 2020); but it is also a metaphor to understand the way in which the network of companies responds to changes. In recent decades, the systemic approach has contributed to the advancement of knowledge in administrative, economic and organizational sciences (Mas, 2008; Jackson, 1994).
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Changes in the environment and the speed with which many companies adapt to them lead to exploring the adaptation process. In other words, the authors question the development of dynamic capabilities and how it is linked to resilience and organizational ambidexterity. Companies that effectively address these challenges will be better positioned to thrive in the environment. This chapter attempts a detailed analysis of the interactions between dynamic capabilities, resilience, and ambidexterity.
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Book
Now in a Fourth Edition, this how-to guide is an excellent starting point for anyone looking to begin case study research. The authors—all professors teaching graduate students in education and other professions—provide the structure, detail, and guidance needed for beginning researchers to complete a systematic case study. Improvements for this edition include more practical and detailed guidance for conducting a literature review, a more efficient and easy-to-understand reorganization of the case study examples, and updated citations throughout the text. As with previous editions, this succinct handbook emphasizes learning how to do case study research—from the first step of deciding whether a case study is the way to go to the last step of verifying and confirming findings before disseminating them. It shows students how to determine an appropriate research design, conduct informative interviews, record observations, document analyses, delineate ways to confirm case study findings, describe methods for deriving meaning from data, and communicate findings. Book Features: A straightforward introduction to the science of doing case study research. A step-by-step approach that speaks directly to the novice investigator. Many concrete examples illustrate key concepts. Questions, illustrations, and activities to reinforce what has been learned.
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The collapse of economic activity in 2020 from COVID-19 has been immense. An important question is how much of that collapse resulted from government-imposed restrictions versus people voluntarily choosing to stay home to avoid infection. This paper examines the drivers of the economic slowdown using cellular phone records data on customer visits to more than 2.25 million individual businesses across 110 different industries. Comparing consumer behavior over the crisis within the same commuting zones but across state and county boundaries with different policy regimes suggests that legal shutdown orders account for only a modest share of the massive changes to consumer behavior (and that tracking county-level policy conditions is significantly more accurate than using state-level policies alone). While overall consumer traffic fell by 60 percentage points, legal restrictions explain only 7 percentage points of this. Individual choices were far more important and seem tied to fears of infection. Traffic started dropping before the legal orders were in place; was highly influenced by the number of COVID deaths reported in the county; and showed a clear shift by consumers away from busier, more crowded stores toward smaller, less busy stores in the same industry. States that repealed their shutdown orders saw symmetric, modest recoveries in consumer visits, further supporting the small estimated effect of policy. Although the shutdown orders had little aggregate impact, they did have a significant effect in reallocating consumer visits away from “nonessential” to “essential” businesses and from restaurants and bars toward groceries and other food sellers.