Abstract:Dynamic capability research increasingly seeks to identify mechanisms founding dynamic capabilities because this microfoundation provides options for influencing the application of dynamic capabilities. Dynamic capabilities in turn support organizations to achieve continuous organizational change. We pursue deeper insight into the microfounding mechanisms of dynamic capabilities with regard to management-related variables. Survey data from hot spots of refugee crisis 2016 all across Austria allow us to examine… Show more
“…Smallness, for instance, enhances a firm’s ability to recognise that customer needs and opportunities to meet them have changed, for example, via input from front-line employees in direct contact with consumers or the ability to easily envision how simpler resource bases might be quickly reconfigured to take advantage of new opportunities ( Eggers, 2020 ; Kaltenbrunner and Reichel, 2018 ; Uhlaner et al, 2013 ). Next, smallness enhances the ability to quickly pivot from old to new business models, as the quick reconfiguration of resources is easier when organisations are agile and less saddled with embedded structures, routines, political factions, bureaucracy and other inertial anchors ( Eggers, 2020 ; Kraus et al, 2020 ; Teece, 2011 ; Uhlaner et al, 2013 ).…”
COVID-19 wreaked havoc on public health and the global economy. Small and medium-sized enterprises (SMEs) were hit especially hard. In this research note, we test the ability of dynamic capabilities (DCs) to predict SME performance during the pandemic. Based on our analysis of data from a survey conducted in the United States, we find that DCs meaningfully predicted both operational levels and revenue. Furthermore, while the empirical literature suggests that SME size is positively related to DC efficacy, we found that this effect was reversed during COVID-19, as the positive link between DCs and performance was stronger for smaller SMEs.
“…Smallness, for instance, enhances a firm’s ability to recognise that customer needs and opportunities to meet them have changed, for example, via input from front-line employees in direct contact with consumers or the ability to easily envision how simpler resource bases might be quickly reconfigured to take advantage of new opportunities ( Eggers, 2020 ; Kaltenbrunner and Reichel, 2018 ; Uhlaner et al, 2013 ). Next, smallness enhances the ability to quickly pivot from old to new business models, as the quick reconfiguration of resources is easier when organisations are agile and less saddled with embedded structures, routines, political factions, bureaucracy and other inertial anchors ( Eggers, 2020 ; Kraus et al, 2020 ; Teece, 2011 ; Uhlaner et al, 2013 ).…”
COVID-19 wreaked havoc on public health and the global economy. Small and medium-sized enterprises (SMEs) were hit especially hard. In this research note, we test the ability of dynamic capabilities (DCs) to predict SME performance during the pandemic. Based on our analysis of data from a survey conducted in the United States, we find that DCs meaningfully predicted both operational levels and revenue. Furthermore, while the empirical literature suggests that SME size is positively related to DC efficacy, we found that this effect was reversed during COVID-19, as the positive link between DCs and performance was stronger for smaller SMEs.
“…Although dynamic capabilities view (DCV) is one of the most influential paradigms in strategy literature, especially with regards to market volatility, research applying DCV towards companies functioning in a crisis like COVID-19 is rare. Therefore, this study contributes to the literature related to organizational recovery from natural or humanitarian disasters ( Ballesteros and Wry, 2017 , Battisti and Deakins, 2017 , Kaltenbrunner and Reichel, 2018 ) and economic crisis ( Fainshmidt et al, 2017 , Makkonen et al, 2014 , Nair et al, 2014 ). According to the authors’ knowledge, this is the first study that applies DCV in the logistics industrial context to examine strategic customers management in a market facing a crisis such as COVID-19 (see Section 1.3 for the detailed research contribution statement).…”
“…The government "failure" theory suggests that the limitations of government action lead to a rise in the non-profit sector (Witesman 2016). Other authors view philanthropic organisations and NGOs as the central hub between government, communities, and other humanitarian philanthropic organisations (Kaltenbrunner and Reichel 2018). However, the leadership and responsibility of disaster response remain with the government (Mubah 2013).…”
Disaster response by philanthropy has faced numerous challenges flagged in the literature, including duplication of efforts, inefficiencies, waste, and inadequate goal achievements. However, there is little literature on how to organise philanthropic acts in the face of disasters. This paper assesses the influence of lean thinking in improving disaster response processes and sustainability. The paper further proposes a framework for applying lean thinking by philanthropic organisations. A mixed research methods strategy was employed with 212 staff surveys in Southern Africa. Twenty-three indepth key informant interviews were also conducted. The results revealed that lean thinking succeeds with philanthropic organisations if a high level of management commitment, teamwork, and adaptability to change the organisation's setup exists. A framework is presented through Structural Equation Modelling (SEM), tailor-made for philanthropic organisations in Southern Africa. External and internal determinants were found to equally contribute to lean thinking's success in reducing waste and increasing value. Despite being limited to developing economies, this paper extends prior research on the lean application and integrates lean thinking in a philanthropic setting. Findings drawn from diverse countries imply that results may be reasonably generalised.
INTRODUCTION AND BACKGROUNDUndeniably, when any disaster strikes, the repercussions are catastrophic and sometimes inestimable. Lives are lost, economic productivity diminishes, and it can take numerous years to restore the affected area to its previous position, especially in low-income communities such as those prevailing in Africa (Ngwenya and Naude 2016). Although natural meteorological events trigger these disasters, the literature confirms that their catastrophic consequences are due to social, human factors such as poor land use, unauthorised buildings, poor town planning, inequality, and corruption, for example (Cerase 2018). Disaster consequences are described as "everything but an act of God and can be predicted and prevented through human knowledge and rational decisions" (Cerase 2018, p.218). Philanthropy
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