| 1. |
- Kordestani, Arash, et al.
(author)
-
Effects of the COVID-19 pandemic on stock price performance of blockchain-based companies
- 2022
-
In: Ekonomska Istrazivanja. - : Taylor & Francis Group. - 1331-677X .- 1848-9664. ; 35:1, s. 3206-3224
-
Journal article (peer-reviewed)abstract
- The price of a stock rises or falls in relation to a number of different factors, including changes to the economy brought about by pandemics. A few studies have already identified the effect of the COVID-19 pandemic on the stock market. However, empirical evidence is lacking on changes in stock price performance of blockchain-based companies as a result of the COVID-19 pandemic. We use the event study approach to estimate stock expected returns by applying an asset pricing model over a thirty-day event window around the announcement on March 11, 2020 by the World Health Organization (WHO) regarding the outbreak of the coronavirus (COVID-19) as a global pandemic, using a sample of S&P Global 1200 companies. Overall, our results indicate more sensitivity in blockchain-based companies' stock prices to the COVID-19 pandemic compared to those of non-blockchain-based companies. Cumulative abnormal returns show that the stock price of blockchain-based companies recover losses slower than non-blockchain companies. Our findings are important for investors and shareholders for future pandemics and events.
|
|
| 2. |
- Mostaghel, Rana, 1981-, et al.
(author)
-
Digitalization driven retail business model innovation: Evaluation of past and avenues for future research trends
- 2022
-
In: Journal of Business Research. - : Elsevier. - 0148-2963 .- 1873-7978. ; 146, s. 134-145
-
Research review (peer-reviewed)abstract
- Increased digitalization enabled innovation and practical examples from the retail industry have captured the attention of marketing scholars, with rapid development in the academic field. The pace of change has significantly accelerated during the Covid-19 crisis. In seeking to (1) investigate the unique characteristics of digitalization enabled retail business model innovation, (2) understand how does digitalization influences changes to the retail business model innovation dimensions, and (3) identify the areas for future research related to retail business model innovation, this study systematically reviews the literature. Employing four databases, a sample of 170 articles were chosen. Based on bibliometric and network analysis and visualization, the major researchers, articles, and topics were rigorously identified. Finally, the results revealed the unaddressed issues in this research area. The study ends with theoretical and managerial implications.
|
|
| 3. |
- Toorajipour, Reza, 1991-, et al.
(author)
-
Artificial intelligence in supply chain management : A systematic literature review
- 2021
-
In: Journal of Business Research. - : Elsevier Inc.. - 0148-2963 .- 1873-7978. ; 122, s. 502-517
-
Journal article (peer-reviewed)abstract
- This paper seeks to identify the contributions of artificial intelligence (AI) to supply chain management (SCM) through a systematic review of the existing literature. To address the current scientific gap of AI in SCM, this study aimed to determine the current and potential AI techniques that can enhance both the study and practice of SCM. Gaps in the literature that need to be addressed through scientific research were also identified. More specifically, the following four aspects were covered: (1) the most prevalent AI techniques in SCM; (2) the potential AI techniques for employment in SCM; (3) the current AI-improved SCM subfields; and (4) the subfields that have high potential to be enhanced by AI. A specific set of inclusion and exclusion criteria are used to identify and examine papers from four SCM fields: logistics, marketing, supply chain and production. This paper provides insights through systematic analysis and synthesis.
|
|
| 4. |
- Toorajipour, Reza, et al.
(author)
-
Block by block : A blockchain-based peer-to-peer business transaction for international trade
- 2022
-
In: Technological forecasting & social change. - : Elsevier. - 0040-1625 .- 1873-5509. ; 180
-
Journal article (peer-reviewed)abstract
- Heterogeneity and complicated processes, risk of information leakage, and higher costs are some of the challenges that stem from third-party involvement in business transactions. This study proposes a novel mechanism to address the shortcomings of third-party-dependent transactions in the context of international trade. Moreover, we provide business process modeling, deployed in a business transaction scenario, to furnish a deeper perspective on the working of the mechanism based on Business Process Model and Notation (BPMN) 2.0 standards and guidelines. By analyzing and identifying blockchain roles and capabilities, this study proposes a blockchain technology-based letter of credit (BTLC), which is a mechanism providing letters of credit (LCs) that incorporate the benefits of blockchain and smart contracts.
|
|
