https://hdl.handle.net/10419/176492 2026-11-05T14:03:24Z 2026-11-05T14:03:24Z Merritt, Kamarin Zhao, Shichao https://hdl.handle.net/10419/274372 2023-11-12T02:28:18Z 2022-01-01T00:00:00Z

Title: The power of live stream commerce: A case study of how live stream commerce can be utilised in the traditional British retailing sector Authors: Merritt, Kamarin; Zhao, Shichao Abstract: As e-commerce continues to grow on a rapid scale, the rise of new technological innovations has come about, such as that of live stream commerce, which has risen rapidly throughout China through the successful case of Taobao Live. Therefore, this research project is focused on live stream retailing as an e-commerce innovation to understand how the key aspects, such as usability, functionality, interaction, and, in general, how its success can be transferred into Western society. A mixed methods approach is taken to collect the crucial data that are needed to understand the current behaviours of British consumers and to understand their preferred methods of shopping and why. This study presents robust recommendations from the collected data, providing strategic insight into the adoption of live stream retailing in the West and incorporating the development of a live stream commerce plug-in prototype that has the potential to be transferred compatibility into any business model.

2022-01-01T00:00:00Z Karaev, Alan Gorlova, Oksana S. Sedova, Marina L. Ponkratov, Vadim V. Shmigol, Nataliya S. Demidova, Svetlana E. https://hdl.handle.net/10419/274408 2023-11-12T02:19:23Z 2022-01-01T00:00:00Z

Title: Improving the accuracy of forecasting the TSA daily budgetary fund balance based on wavelet packet transforms Authors: Karaev, Alan; Gorlova, Oksana S.; Sedova, Marina L.; Ponkratov, Vadim V.; Shmigol, Nataliya S.; Demidova, Svetlana E. Abstract: Improving the accuracy of cash flow forecasting in the TSA is the key to fulfilling government payment obligations, minimizing the cost of maintaining the cash reserve, providing the absence of outstanding debt accumulation, and ensuring investment in various financial instruments to obtain additional income. The article describes a method for improving the accuracy of forecasting a time series composed of daily budgetary fund balances in the TSA, based on its preliminary decomposition using a discrete wavelet packet transform of the Daubechies family. This makes it possible to increase the accuracy of traditional forecasting methods from 80% to more than 96%. The decomposition level varied from one to eight to minimize the mean absolute error and improve the forecasting accuracy. Calculations of statistical tests for adequacy confirm the effectiveness of the proposed method for improving forecasting accuracy. The scientific novelty of the proposed method for improving the forecasting accuracy of time series from daily budgetary fund balances in the TSA lies in proving the need for preliminary timeseries decomposition and subsequent construction of forecasts for the obtained parts, resulting in high forecasting accuracy. The result differs significantly from traditional econometric methods (ARIMA/SARIMA), characterized by a much lower accuracy (50-80%) and a decrease in forecasting accuracy with an increase in the forecast horizon. This article is novel, as it forms a new approach to solving the problem of increasing the efficiency of using budgetary funds, associated with improving the accuracy of forecasting daily budgetary fund balance in the TSA.

2022-01-01T00:00:00Z Bayu, Fitsum Getachew Atanaw, Eshetie Berhan Ebinger, Frank https://hdl.handle.net/10419/274358 2023-11-10T02:09:44Z 2022-01-01T00:00:00Z

Title: A system dynamics model for dynamic capability driven sustainability management Authors: Bayu, Fitsum Getachew; Atanaw, Eshetie Berhan; Ebinger, Frank Abstract: This study aims to develop a system dynamics (SD) model for sustainability management driven by dynamic capabilities (DC) perspective. DC has been suggested as a vital organization theory for gaining sustainable competitive advantage. In contrast, SD has been used to model the complex system and support the decision-making process. Modeling sustainability management with SD driven from DC has not been previously investigated, particularly in global south industrial firms. This study explored the complex and dynamic relationships of the variables involved. For a simulation experiment, the study utilized a case from a large apparel industrial park in Africa, located in Ethiopia. The simulation revealed that the capability growth trend for sustainability management follows a natural sigmoid function or S curve shape supporting the dynamic hypothesis. In particular, sustainability training efforts, waste management practice, ethical management, supervision, and minimum worker's wage have been found to be influential variables and innovation points for capability growth towards sustainability management. The SD model contributes to the empirical gaps on dynamic models to overcome the challenges of firms in simultaneously managing sustainability dimensions. The study is the first to explore DC-driven sustainability management using SD, particularly from the case of a global south country.

2022-01-01T00:00:00Z Khalil, Afef El Amine Abdelli, Mohammed Mogaji, Emmanuel https://hdl.handle.net/10419/274401 2023-11-10T02:32:47Z 2022-01-01T00:00:00Z

Title: Do digital technologies influence the relationship between the COVID-19 crisis and SMEs' resilience in developing countries? Authors: Khalil, Afef; El Amine Abdelli, Mohammed; Mogaji, Emmanuel Abstract: The COVID-19 pandemic is not only a medical emergency but also a business emergency that has created the need for organizations to be resilient and versatile in managing the impact of the pandemic on their business operations. At this time, small- and medium-sized enterprises (SMEs) are the most vulnerable to the economic disaster caused by the recent crisis, because these companies do not have the necessary resources to absorb losses. This research reviewed the impact of digital technologies on SMEs' resilience during the pandemic, focusing on companies in developing countries. Based on the 96 SMEs surveyed across six developing countries, the study shows that digital technology has helped SMEs to survive the pandemic, assisting SMEs in becoming more robust and ensuring their survival. This research fills a significant research gap in the literature, highlighting the inherent challenges of SMEs in developing countries and their digital transformation strategies. This study also offers practical recommendations for SMEs, tech developers, and policymakers to invest more effort in putting new procedures in place to ensure the efficacy of digital technology.

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