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Lampo, A., & Silva, S. C. (2021, May 25). The Influence of Society on the Behavioral Intention to Use a Technology: Evidence from the Battery Electric Vehicles Domain. Proceedings of the 50th European Marketing Academy (EMAC). A2021-93961. http://proceedings.emac-online.org/pdfs/A2021-93961.pdf

Despite the general good intentions towards the environment, individuals tend to adopt traditional internal combustion vehicles. Drawing from technology research, this study focuses on the impact of society - in the form of subjective norm and image – on the behavioral intention to adopt a technology. More precisely, this study seeks to explore to which extent societal influences drive the behavioral intention to adopt battery electric vehicles (BEV) technology. A self-administered survey was used for this purpose. The analysis of the data from a sample of 111 respondents showed significant relationships between the predictors and the target behavioral outcome. The study also revealed that subjective norm and image are particularly significant factors for the segment of BEV owners. The findings suggest that marketers and practitioners incorporate social elements into their product communication strategies in order to encourage the uptake of environmentally-sound technologies.

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Lei, W. C. (2021). COVID-19: Short-Run Impacts of the Pandemic on the Integrated Resort Oligopoly of Macao. 121–137. https://www.researchgate.net/publication/362831315_COVID-19_Short-Run_Impacts_of_the_Pandemic_on_the_Integrated_Resort_Oligopoly_of_Macao

Objective: As a world tourist destination, Macao is inevitably under the impact of the COVID-19 pandemic. However, the market of integrated resorts in Macao are shared by only a few casino concessionaries, together forming an oligopoly. While the firms attempted to adjust price, quantity and quality of their hotel services in response to the pandemic, they could not overlook the strategic interactions with other players in the market. Hence, this paper aims to investigate the possible impact of the pandemic on the oligopolistic strategies in the integrated resort market in Macao. Methodology: Application of a theoretical model of differentiated oligopoly to this six-firm case shows that price differences across firms depend on their quality differentiation. In order to analyze these price differences empirically, this paper collects data of hotel room rates of the integrated resorts from November, 2019 to mid-August, 2020, covering the periods before and after the outbreak of COVID-19. Originality: In the existing literature, there is a lack of studies of the oligopoly in the hospitality industry of Macao. Furthermore, the effect of COVID-19 is still ongoing, so this present paper is one of the first to perform such analysis. Results: The regression of each of the hotel price differentials on the COVID-19 dummy variable shows that COVID-19 has statistically significant impacts on almost all the price differentials. Intuitively, MGM and Wynn were in the high-price segment before and after the outbreak, while other firms switched positions in the low-price segment during the pandemic. One obvious downstream movement was by Conrad. According to the proposition derived from the theory, these imply that COVID-19 should have significant impact on the quality differentiation of the firms. Practical implications: The results are in line with the observations that the integrated resorts have rolled out staycation packages according to preferences of local residents. These quality adjustments observed in Macao’s hospitality industry currently only involved variable inputs rather than fixed inputs of production; therefore, the impact of COVID-19 should be seen as short-term effects. Keywords: Covid-19; Differentiated oligopoly; Hospitality industry; Hotel room rate; Oligopolistic market structure; Pricing strategy.

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Ikegami, K. (2021, March). Students’ wellbeing during the Covid-19 pandemic. The International Webinar of University Riau Conference, Indonesia.

Han, W., Shasha, L., Shaobin, L., Wencai, D., Qinggu, L., & Bo, W. (2021). Research on Quality Control of Intelligent Injection Molding System Based on Process Monitoring. 2021 8th International Conference on Computational Science/Intelligence and Applied Informatics (CSII), 1–6. https://doi.org/10.1109/CSII54342.2021.00013

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Lei, M. T., Monjardino, J., Mendes, L., Gonçalves, D., & Ferreira, F. (2021). Statistical Methods to Forecast Air Quality in Taipa Ambient and Taipa Residential of Macao. In C. Mensink & V. Matthias (Eds.), Air Pollution Modeling and its Application XXVII (pp. 167–173). Springer. https://doi.org/10.1007/978-3-662-63760-9_25

Air pollution is a major concern issue on Macao since the concentration levels of several of the most common pollutants are frequently above the internationally recommended values. The low air quality episodes impacts on human health paired with highly populated urban areas are important motivations to develop forecast methodologies in order to anticipate pollution episodes, allowing establishing warnings to the local community to take precautionary measures and avoid outdoor activities during this period. Using statistical methods (multiple linear regression (MLR) and classification and regression tree (CART) analysis) we were able to develop forecasting models for the main pollutants (NO2, PM2.5, and O3) enabling us to know the next day concentrations with a good skill, translated by high coefficients of determination (0.82–0.90) on a 95% confidence level. The model development was based on six years of historical data, 2013 to 2018, consisting of surface and upper-air meteorological observations and surface air quality observations. The year of 2019 was used for model validation. From an initially large group of meteorological and air quality variables only a few were identified as significant dependent variables in the model. The selected meteorological variables included geopotential height, relative humidity and air temperature at different altitude levels and atmospheric stability characterization parameters. The air quality predictors used included recent past hourly levels of mean concentrations for NO2 and PM2.5 and maximum concentrations for O3. The application of the obtained models provides the expected daily mean concentrations for NO2 and PM2.5 and maximum hourly concentrations O3 for the next day in Taipa Ambient air quality monitoring stations. The described methodology is now operational, in Macao, since 2020.

Ma, X., Chen, Y., Li, S., Du, W., Tan, Z., Li, Q., Ma, Y., & Deng, H. (2021). Quality Detection Method for Controller Process Based on Mask R-CNN Network Model. 2021 8th International Conference on Computational Science/Intelligence and Applied Informatics (CSII), 18–22. https://doi.org/10.1109/CSII54342.2021.00012

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Caires, C. S., & Estadieu, G. (2020). The concept of “Object-image” revisited through the interactive-film installation “Sense of Place.” Besides the Screen 2020, ISMAI, Porto.

Costa, P., & Dias, Á. (2020). Oxyhydroxide Hydrothermal Crusts from Saldanha Hydrothermal Field. Goldschmidt Abstracts, 478–478. https://doi.org/10.46427/gold2020.478

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Dias, Á., Qiu, W., Barriga, F. J. A. S., & Tao, C. (2020). Sub-Seafloor Sulfide Mineralization in the Saldanha Hydrothermal Field, Mid-Atlantic Ridge (MAR). Goldschmidt Abstracts, 44–44. https://doi.org/10.46427/gold2020.44

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Dias, Á., Qiu, W., Costa, I. M. A., & Barriga, F. J. A. S. (2020). Ore-Forming Process of the Menez Gwen Hydrothermal Field: In situ S Isotopes and Trace Metals Constraints. Goldschmidt Abstracts, 2143–2143. https://doi.org/10.46427/gold2020.2143

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Lei, W. C. (Florence). (2020). Oligopolistic Pricing Strategies in the Hospitality Industry of Macao During COVID-19 [Conference presentation]. The 4th Academia-Industry Exchange Institute of International Business & Governance (IIBG) Symposium 2020. https://doi.org/10.13140/RG.2.2.18484.94080

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Vanessa, W. L., Calheiros, C. S. C., & Tagulao, K. (2020). Mangroves as ecosystem services providers in an urban context: case study of Macao, SAR China. 36.