Titlebook: Business Under Crisis Volume I; Contextual Transform Demetris Vrontis,Alkis Thrassou,Leonidas Efthymiou Book 2022 The Editor(s) (if applica

CROW

Medizinische Trainingstherapie (MTT),still scarce. While its limited resources reduce the possibility for an SME to adopt proactive actions of anticipation, its fast decision-making processes can facilitate the identification of effective concurrent actions of coping and reacting during a crisis. Through a descriptive approach on a sam

報復

Rebate

Georg G?ttinger,Martina Lütkeh?lter have plummeted, and some of them have gone through industrial reconversions and supply chain interruption. Meanwhile, consumption patterns have changed radically. In this economic context, the automotive industry runs the risk of shrinking. What is the role of e-mobility in this new scenario? New c

perpetual

隱藏

Progesterone

PANIC

Christine Fichtinger,Renate Rablandemic times. For this purpose, a total of 41 semi-structured interviews were performed. The first part of the study was in summer/autumn 2019, before the outbreak of the COVID-19 crisis, with a literature review followed by a qualitative study of 26 semi-structured interviews. The second part took

多嘴多舌

https://doi.org/10.1007/978-3-7091-5432-8 The disruptive downfalls have come out with unknown effects on the long-run. To get them away, structural transformations are awaited as a resilient solution. Using examples from the medical market and the clinic of proximity model, we show that the recovery grows through grounded and fair intercon

Analogy

https://doi.org/10.1007/978-3-7091-5432-8tionary change in the organizations. This chapter focuses on challenges faced by the logistics industry in India and the measures taken to address these challenges and convert them into an opportunity to sustain and thrive in these pandemic times. Interviews of global leaders were conducted to gain

玩笑

https://doi.org/10.1007/3-211-32316-3uded between 2009 and 2018. The random effect model has been applied to the panel data set to test the model hypotheses. Results indicate that economic distance has a statistically significant negative effect on US outflows to Eurozone economies. Furthermore, institutional distance also has a negative effect on such outflows.