CROW
发表于 2025-3-25 05:05:41
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
报复
发表于 2025-3-25 10:29:57
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Rebate
发表于 2025-3-25 12:59:48
Georg Göttinger,Martina Lütkehölter 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
发表于 2025-3-25 16:18:51
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隐藏
发表于 2025-3-25 22:54:39
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Progesterone
发表于 2025-3-26 02:05:13
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PANIC
发表于 2025-3-26 06:38:50
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
发表于 2025-3-26 09:31:39
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
发表于 2025-3-26 16:40:57
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
发表于 2025-3-26 20:01:34
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.