Dr David Shao
Newcastle Business School
- Phone:02 49212025
- Doctor of Philosophy, University of New South Wales
- Master of Commerce (Extension), University of New South Wales
- International Business
- Risk Management
- English (Fluent)
- Chinese, nec (Mother)
Fields of Research
|350303||Business information systems||20|
|Title||Organisation / Department|
|Lecturer||University of Newcastle
Newcastle Business School
|Dates||Title||Organisation / Department|
|4/1/2019 - 31/10/2019||Research Fellow||University of Technology Sydney
|Dates||Title||Organisation / Department|
|5/8/2019 - 30/4/2021||Lecturer||The University of Sydney
International Business Strategy
Newcastle Business School | University of Newcastle | Australia
|Coordinator||20/7/2021 - 30/10/2021|
Newcastle Business School | University of Newcastle | Australia
|Coordinator||1/9/2021 - 30/11/2021|
For publications that are currently unpublished or in-press, details are shown in italics.
Journal article (32 outputs)
Wu Z, Zang C, Wu C-H, Deng Z, Shao X, Liu W, 'Improving Customer Value Index and Consumption Forecasts Using a Weighted RFM Model and Machine Learning Algorithms', Journal of Global Information Management, 30 1-23 (2022)
Shao X, Zhong Y, Liu W, Li RYM, 'Modeling the effect of green technology innovation and renewable energy on carbon neutrality in N-11 countries? Evidence from advance panel estimations.', J Environ Manage, 296 113189 (2021)
Han Y, Shao X-F, Tsai S-B, Fan D, Liu W, 'E-Government and Foreign Direct Investment', Journal of Global Information Management, 29 1-17 (2021)
Liu W, Xu Y, Fan D, Li Y, Shao XF, Zheng J, 'Alleviating corporate environmental pollution threats toward public health and safety: The role of smart city and artificial intelligence', Safety Science, 143 (2021)
How does smart city via e-government construction affect firms¿ perceived environmental regulatory pressure to prevent their environmental pollution behavior? Building on the info... [more]
How does smart city via e-government construction affect firms¿ perceived environmental regulatory pressure to prevent their environmental pollution behavior? Building on the information mechanism, this study addresses this research question by using a sample of 16,347 Chinese industrial firms across 322 cities. Our findings reveal that firms in regions with better e-government construction discharge less environmental pollution, and this negative relationship is stronger for firms with a higher level of artificial intelligence related information processing capabilities. This study extends the literature on the impact of institutional characteristics on pressure perceptions of firms by shedding light on the role of smart city government information infrastructure in eliminating firm-government asymmetry, and clarifying artificial intelligence as the boundary condition of the relationship between e-government construction and corporate environmental pollution which, in turn, enhance public health and safety performance among urban areas.
Shao XF, Li Y, Suseno Y, Li RYM, Gouliamos K, Yue XG, Luo Y, 'How does facial recognition as an urban safety technology affect firm performance? The moderating role of the home country's government subsidies', Safety Science, 143 (2021)
The rapid progress of facial recognition technology (FRT), aided by technological advancements in artificial intelligence, is transforming urban life. However, FRT also presents c... [more]
The rapid progress of facial recognition technology (FRT), aided by technological advancements in artificial intelligence, is transforming urban life. However, FRT also presents challenges and imposes urban safety risks, such as cybersecurity threats and privacy concerns. Considering the importance of FRT as smart urban safety technology, this study utilises the rent-seeking theory to analyse the relationship between a firm's level of FRT capability and its international and domestic sales performances. We explored the effect of the home country's government subsidies as a contextual factor. We analysed 33 listed firms from nine countries ¿ firms that are involved in artificial intelligence, based on secondary data from 2014 to 2019. Our regression analyses revealed mixed empirical results in that while the firm's FRT capability negatively influenced its international sales performance, its positive effect on domestic sales performance was partially supported. Further, we found that the home country's government subsidies negatively moderated the relationship between a firm's FRT capability and its domestic sales performance.
Umar M, Su CW, Rizvi SKA, Shao XF, 'Bitcoin: A safe haven asset and a winner amid political and economic uncertainties in the US?', Technological Forecasting and Social Change, 167 (2021) [C1]
Bitcoin is considered to be an exclusive marvel of the Fourth Industrial Revolution, and is one of the most sophisticated technological and financial products. It has long been a ... [more]
Bitcoin is considered to be an exclusive marvel of the Fourth Industrial Revolution, and is one of the most sophisticated technological and financial products. It has long been a pivot point of attention for investors who are in pursuit of a safe haven asset. In this paper, we use the wavelet-based quantile-on-quantile method, and the quantile-based Granger causality method, in order to investigate the notion of Bitcoin in actually being a safe-haven asset, amid political and economic uncertainty in the US for the period between 2010:M06, and 2020:M10. Using the Partisan Conflict Index (PCI), and the Economic Policy Uncertainty Index (EPU) as proxies of uncertainties, we find that although Bitcoin effectively appears to be a safe haven asset when uncertainties are on the rise, however, this relationship tends to change during the short- to long-run. In this regard, our sample provides us with a unique opportunity to evaluate the safe haven hypothesis for Bitcoin, amid a time span with three Presidential elections in the US, and recently, an ongoing COVID-19 outbreak, which has been declared as a global pandemic. We have also supplemented our analysis with the bootstrap rolling window causality method, as a measure of robustness. In light of the recent COVID-19 pandemic, and the dynamic economic situation, our work provides valuable knowledge for investors, who wish to construct investment portfolios based on Bitcoin, and also provide insights for regulators about how to regulate the cryptocurrency speculation in an effective manner.
Wang KH, Xiong DP, Mirza N, Shao XF, Yue XG, 'Does geopolitical risk uncertainty strengthen or depress cash holdings of oil enterprises? Evidence from China', Pacific Basin Finance Journal, 66 (2021) [C1]
This paper investigates the heterogeneous effects of geopolitical risk (GPR) on enterprise cash holdings (CASH) in Chinese oil sectors. The empirical results are shown as follows:... [more]
This paper investigates the heterogeneous effects of geopolitical risk (GPR) on enterprise cash holdings (CASH) in Chinese oil sectors. The empirical results are shown as follows: First, enterprises in oil exploration and exploitation sector and oil equipment sector tend to reserve more cash to confront high geopolitical risk. Second, the levels of CASH in oil refinery and sale sector enterprises are negatively related to GPR. Third, there is no significant causal link between GPR and CASH in oil storage and transportation sector. Therefore, oil enterprises should factor in geopolitical risks in differentiated cash management policies based on their sectors' character.
Duan B, Shao X, Han Y, Li Y, Zhao Y, 'Mechanism and application of ultrasound-enhanced bacteriostasis', JOURNAL OF CLEANER PRODUCTION, 290 (2021) [C1]
Zheng J, Shao X, Liu W, Kong J, Zuo G, 'The impact of the pilot program on industrial structure upgrading in low-carbon cities', JOURNAL OF CLEANER PRODUCTION, 290 (2021) [C1]
Liu W, Shao XF, Wu CH, Qiao P, 'A systematic literature review on applications of information and communication technologies and blockchain technologies for precision agriculture development', Journal of Cleaner Production, 298 (2021) [C1]
This review examines literature from 2011 to 2020 on information and communications technologies (ICTs) and blockchain technologies (BTs) in agriculture. To describe the status of... [more]
This review examines literature from 2011 to 2020 on information and communications technologies (ICTs) and blockchain technologies (BTs) in agriculture. To describe the status of the subjects and identify issues for future research, we utilized bibliometric and content analyses of leading journals. The main findings are: (1) ICT technique adoption is affected by application design and socio-demographic factors, while research in BTs in this area only focuses on application design factors; (2) ICTs and BTs have similar applications in agricultural production (information provision for efficient decisions and production improvement), logistics (tracing), and supply chain (trust-building); (3) ICT techniques are applied more to production improvement, while BTs focus more on using visibility, traceability, and automation to improve transparency and transaction efficiency in whole sectors; (4) in relation to consumption, ICTs focus on balancing supply and demand to achieve market stability, while BTs investigate effects on consumer purchasing decisions. Insights are also proposed for future research based on common challenges in the application of ICT and blockchain in agriculture in the following areas: (i) security and privacy protection; (ii) solutions for scalability and interoperability; (iii) solutions for high cost and high consumption, and demands for high knowledge in technology application; (iv) formulation of policies and regulations related to standard criteria for market stability. This review provides a basis for studying the combination of ICTs and BTs in agriculture and furthers the understanding of their usage by comparison; this has significant implications for technological development and agricultural sustainability.
Dong S, Yang L, Shao X, Zhong Y, Li Y, Qiao P, 'How can channel information strategy promote sales by combining ICT and blockchain? Evidence from the agricultural sector', Journal of Cleaner Production, 299 (2021) [C1]
The broad development of Internet has enabled the information and communications technology (ICT) and the blockchain technology (BT) to transform the traditional operational pract... [more]
The broad development of Internet has enabled the information and communications technology (ICT) and the blockchain technology (BT) to transform the traditional operational practices and customer behavior. In the context of the agricultural sector, it has prompted agricultural retailers to explore various online resources and communication channels. However, product information and physical experience in the brick-and-mortar stores influence the Internet pricing strategy and customers¿ online purchasing behaviors. Considering this cross-channel effect and sustainable digital agricultural (e-agriculture) development, this study constructed a theoretical analysis model to investigate the impact of the ICT- and BT-driven agricultural cross-channel information strategy on the retailer pricing strategy and customer behavior. The results indicate that, although ICT and BT tools provide agricultural retailers and customers with more information, a cross-channel information strategy does not continuously increase retailers¿ sales performance. Retailers tend to leverage this strategy when the devaluation coefficient (customers¿ quality perception for a product) is low. This channel information strategy is influenced by the offline channel cost and the devaluation coefficient in online trading. These findings on the devaluation effect can guide retailers in their channel information and pricing strategies and marketing-related decisions.
Yue XG, Liao Y, Zheng S, Shao X, Gao J, 'The role of green innovation and tourism towards carbon neutrality in Thailand: Evidence from bootstrap ADRL approach', Journal of Environmental Management, 292 (2021) [C1]
The recent years have been marked by the role of green tech innovation in decreasing carbon emissions worldwide to attain the carbon neutrality target. Despite many studies examin... [more]
The recent years have been marked by the role of green tech innovation in decreasing carbon emissions worldwide to attain the carbon neutrality target. Despite many studies examining the nexus between the former and energy consumption, tech innovation's effects on CO2 releases have not been extensively researched, and the extant empirical findings are often contradictory. Also, a major concern regarding the available literature is the scarcity of papers that scan the impact of tourism on carbon emissions, even though the industry has a high potential to affect ambient air pollution. In this case, the evidence is mixed, and no consensus among academics on the relationships between the two. Therefore, this study seeks to investigate the relevance of green innovation and tourism in decreasing environmental damage in Thailand based on the bootstrapping ARDL causality model suggested by (McNown et al., 2018). This specification includes a new cointegration feature and conventional ARDL bounds tests, which increases the power of the t- and of the f-test and has several advantages, being more adequate for dynamic models with more than one explanatory variable. Our findings reveal that green innovation and tourism lead to lower environmental damage by reducing CO2 emissions, similar to foreign investments and that green tech innovation improves the environmental quality via lower carbon emissions.
Shao X, Zhong Y, Li Y, Altuntas M, 'Does environmental and renewable energy R&D help to achieve carbon neutrality target? A case of the US economy.', J Environ Manage, 296 113229 (2021)
Shao XF, Liu W, Li Y, Chaudhry HR, Yue XG, 'Multistage implementation framework for smart supply chain management under industry 4.0', Technological Forecasting and Social Change, 162 (2021)
The true potential of the industry 4.0, which is a byproduct of the fourth industrial revolution, cannot be actually realized. This is, of course true, until the smart factories i... [more]
The true potential of the industry 4.0, which is a byproduct of the fourth industrial revolution, cannot be actually realized. This is, of course true, until the smart factories in the supply chains get connected to each other, with their systems and the machines linked to a common networking system. The last few years have experienced an increase in the adoption and acceptance of the industry 4.0's components. However, the next stage of smart factories, which will be the smart supply chains, is still in its period of infancy. Moreover, there is a simultaneous need to maintain a focus on the supply chain level implementation of the concept that industry 4.0 puts forth. This is important in order to gain the end to end benefits, while also avoiding the organization to organization compatibility issues that may follow later on. When considering this concept, limited research exists on the issues related to the implementation of industry 4.0, at the supply chain level. Hence, keeping in mind this lack of literature and research available, on a phenomenon that will define the future of business and industry, this study uses an exploratory approach to capture the implementation of industry 4.0 concepts across multiple tiers of the supply chain. Based on this research, the study proposes a multistage implementation framework that highlights the organizational enablers such as culture, cross-functional approach, and the continuous improvement activities. Furthermore, it also highlights the staged implementation of the advanced tools, starting from the focal organization with the subsequent integration with the partner organizations.
Yin XC, Li X, Wang MH, Qin M, Shao XF, 'Do economic policy uncertainty and its components predict China's housing returns?', Pacific Basin Finance Journal, 68 (2021)
In this paper we first studied the predictive power of economic policy uncertainty (EPU) by analyzing it in the traditional housing returns model, which included macroeconomic var... [more]
In this paper we first studied the predictive power of economic policy uncertainty (EPU) by analyzing it in the traditional housing returns model, which included macroeconomic variables. Then we expanded the model to consider structure breaks and asymmetry and explored the optimal predictive model for housing returns. Last, based on the optimal model, we tested the predictive performance of specified EPU components. These analyses were employed on aggregate and different tier cities for the China housing market by using the flexible generalized least squares estimator to conduct in-sample and out-of-sample forecast evaluations. Empirical results revealed that our proposed model suggests EPU is superior to the traditional housing returns model in terms of in-sample and out-of-sample forecasts. We also found that extending the model to consider structure breaks and EPU asymmetry enhanced the prediction performance of the model. In addition, empirical results also showed that monetary policy uncertainty has the strongest predictability on housing returns in first-tier cities, while fiscal policy uncertainty has the strongest predictability on housing returns in the country, the second-tier, and third-tier cities.
|Show 29 more journal articles|
Conference (2 outputs)
|2019||Shao XF, Yue XG, Pu R, Li W, Duarte N, Manta O, et al., 'Editorial: Recent advances in 2019 annual meeting on management engineering', ACM International Conference Proceeding Series (2019)|
Yue XG, Shao XF, Pu R, Chankoson T, Hu S, Duarte N, et al., 'Editorial: Recent advances of e-business, information management and computer science in 2019', ACM International Conference Proceeding Series (2019)
Grants and Funding
|Number of grants||3|
Click on a grant title below to expand the full details for that specific grant.
20221 grants / $5,000
Funding body: College of Human and Social Futures | University of Newcastle
|Funding body||College of Human and Social Futures | University of Newcastle|
|Scheme||CHSF - New Start Scheme|
|Type Of Funding||Internal|
20201 grants / $150,000
Funding body: Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan
|Funding body||Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan|
Xiaoguang Yue, Rita Li, Kostas Gouliamos, Xuefeng Shao
|Type Of Funding||International - Competitive|
20181 grants / $100,000
Funding body: National Natural Science Foundation of China
|Funding body||National Natural Science Foundation of China|
Yan Han, Qiujun Ma, Gloria Tian, Yaowen Shan, Xuefeng Shao
|Scheme||National Natural Science Foundation of China|
|Type Of Funding||International - Competitive|
Number of supervisions
|Commenced||Level of Study||Research Title||Program||Supervisor Type|
Based on China’s Higher Vocational College: Examining the Leadership of Teachers in relation to Organizational Culture on Knowledge-based Perspectives
I am the external supervisor for this student. She has several papers working with me.
|Management & Commerce, Rajamangala University of Technology||Co-Supervisor|
Investigation on the Sport and Medicine Fusion of the elderly in rural areas and Construction of symbiosis theory model
I am the external supervisor for this student.
|Management & Commerce, Rajamangala University of Technolgoy||Co-Supervisor|
The map is a representation of a researchers co-authorship with collaborators across the globe. The map displays the number of publications against a country, where there is at least one co-author based in that country. Data is sourced from the University of Newcastle research publication management system (NURO) and may not fully represent the authors complete body of work.
|Country||Count of Publications|