WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394

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Publisher: search.filters.publisher.Emerald Group Publishing LtdSubject: search.filters.subject.COVID-19

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  • Article
    Citation - WoS: 23
    Citation - Scopus: 27
    Business Model Adaptation as a Strategic Response to Crises: Navigating the COVID-19 Pandemic
    (Emerald Group Publishing Ltd, 2021-10-28) Chanyasak, Teerawut; Koseoglu, Mehmet Ali; King, Brian; Aladag, Omer Faruk
    Purpose This study aims to explore how hotels adapt their business models as a strategic response to crisis situations. It sheds light on the processes and methods of business model adaptation during severe crisis situations, such as the COVID-19 outbreak. Design/methodology/approach A single-case study was conducted. Data were collected from the owner/manager of a boutique hotel chain in Chiang Mai, Thailand through an extensive interviewing process. The authors also examined corporate documents. The authors then re-organized the material as a coherent narrative about how the company navigated the COVID-19 crisis. Findings The findings show that the hotels in the study adapted their business models by cutting costs through stopping non-essential operations, increasing non-room revenues and adding new revenue channels, bringing in cash from advance bookings, securing financial support from creditors, leveraging government support and training staff for the "new normal." Originality/value Few previous studies have focused on business model adaptation during the COVID-19 crisis. The investigation of this largely neglected area provides two main contributions. First, it extends the literature on crisis management in hospitality firms by examining business model adaptation patterns and processes during unprecedented crisis conditions. Second, it provides managerial insights and a business model adjustment framework to help practitioners in urban settings in their efforts toward recovery from the COVID crisis.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 8
    Bitcoin-Specific Fear Sentiment Matters in the COVID-19 Outbreak
    (Emerald Group Publishing Ltd, 2021-09-22) Polat, Ali Yavuz; Aysan, Ahmet Faruk; Tekin, Hasan; Tunali, Ahmet Semih
    Purpose This study aims to investigate the effect of fear sentiment with a novel data set on Bitcoin's (BTC) return, volatility and transaction volume. The authors divide the sample into two subperiods to capture the changing dynamics during the COVID-19 pandemic. Design/methodology/approach The authors retrieve the novel fear sentiment data from Thomson Reuters MarketPsych Indices (TRMI). The authors denote the subperiods as pre- and post-COVID-19 considering January 13, 2020, when the first COVID-19 confirmed case was reported outside China. The authors use bivariate vector autoregressive models given below with lag-length k, to investigate the dynamics between BTC variables and fear sentiment. Findings BTC market measures have dissimilar dynamics before and after the Coronavirus outbreak. The results reveal that due to the excessive uncertainty led by the outbreak, an increase in fear sentiment negatively affects the BTC returns more persistently and significantly. For the post-COVID-19 period, an increase in fear also results in more fluctuations in transaction volume while its initial and cumulative effects are both negative. Due to extreme uncertainty caused by the COVID-19 pandemic, investors may trade more aggressively in the initial phases of the shock. Practical implications The authors are convinced that the results in this paper have more far-reaching implications for other markets regulated by the states. BTC provides a natural benchmark to understand how fear sentiment drives and impacts the markets isolated from any interventions. Hence, the results show that in the absence of regulatory frameworks, market dynamics are likely to be more volatile and the fear sentiment has more persistent impacts. The authors also highlight the importance of using micro, asset-specific sentiment measures to capture market dynamics better. Originality/value BTC is not associated with any regulatory authority and is not produced by the governments and central banks. COVID-19 as a natural experiment provides an opportunity to explore the pure effects of market sentiment on BTC considering its decentralized and unregulated features. The paper has two main contributions. First, the authors use BTC-specific fear sentiment novel data set of TRMI instead of more general market sentiments used in the existing studies. Next, this is the first study to examine the association between fear and BTC before and after COVID-19.