TY - CONF TI - Machine learning over the free-parameters of the Black-Scholes equation: Stock market and Option market AU - Arraut, Jorge Mario AU - Arraut, Ivan AU - Lei, Ka I. T2 - LatinX in AI Workshop at ICML 2023 (Regular Deadline) AB - The Black-Scholes equation is famous for predicting values for the prices of Options inside the stock market scenario. However, it has the limitation of depending on the estimated value for the volatility. On the other hand, several Machine learning techniques have been employed for predicting the values of the same quantity. In this paper we analyze some fundamental properties of the Black-Scholes equation and we then propose a way to train its free-parameters, the volatility in particular. This with the purpose of using this parameter as the fundamental one to be learned by a Machine Learning system and then improve the predictions in the stock market. DA - 2023/07/03/ PY - 2023 DP - openreview.net LA - en ST - Machine learning over the free-parameters of the Black-Scholes equation UR - https://openreview.net/forum?id=e1pAJTU2Nh Y2 - 2023/10/13/09:31:56 ER - TY - CONF TI - Factors influencing disability inclusion practice on social media AU - Chan, Joye Wai Peng AU - Phillips, Jenny O.L. T3 - ICEME '23 AB - Digital inclusion in Macao is in the very beginning stage, and disability inclusion practice on social media in producing and promoting accessible social media content and needs is hard to find. This study aims to analyse the factors that influence communication staff's practice of disability inclusion on social media by using the combined employee behaviour and communication process model to provide suggestions to management who wants to promote disability inclusion practice on social media.The Service Centre for the Deaf of the Macau Deaf Association (MDA) was selected as the object for this case study. The online social media used for MDA's communication was analysed, and semi-structured in-depth interviews with members of the Association were conducted. The research findings showed that, except for the reward structure, factors examined from the work environment in terms of organisation, supervision and co-workers; communication staff themselves; outcomes of accessible social media communication; audience and feedbacks show relations with disability inclusion practices on social media. The delivery of inclusive culture, the influential power of disability stakeholders and the positioning of social media platforms are the key influencing factors.The interesting part of this study is that people without disabilities seem to be excluded from the disability inclusion practice carried out on MDA's Facebook. Their social media content is highly accessible to deaf and hard-of-hearing audiences yet seems not to involve the general public. The study object is a good model for producing accessible content, yet the optimisation of promoting social media accessibility needs further exploration. C1 - New York, NY, USA C3 - Proceedings of the 2023 14th International Conference on E-business, Management and Economics DA - 2023/12/15/ PY - 2023 DO - 10.1145/3616712.3616790 DP - ACM Digital Library SP - 131 EP - 139 PB - Association for Computing Machinery SN - 9798400708022 UR - https://dl.acm.org/doi/10.1145/3616712.3616790 Y2 - 2024/01/24/00:00:00 KW - Accessible Social Media (ASM) KW - Disability Employment KW - Disability Inclusion KW - Macau Deaf Association ER - TY - CONF TI - Nowcasting Gross Domestic Product and Gross Gaming Revenue of Macau: a Theoretical and Conceptual Framework AU - Chau, Manuel AU - Lei, Weng Chi T2 - The 5th Academia-Industry Exchange Institute of International Business & Governance (IIBG) Symposium 2021 AB - This paper aimed to build up the theorical and conceptual understanding of future forecasting study of Macau’s GDP and Gross Gaming Revenue (GGR) by co-movement of economic indicators. Macau GDP and GGR showed co-movements with a number of time series economic indicators, including China’s exports and imports, China’s manufacturing PMI, non-manufacturing PMI, China's electricity production growth, share price of some Macau’s gaming operators, etc. These time series data can be found in statistics departments of China, Macau and Hong Kong, stock exchanges, and international organizations such as the International Monetary Fund (IMF), the World Bank, the World Trade Organization (WTO). Burns and Mitchell’s study in 1946 identified co-movements between economic indicators and being further carried out and developed leading, coincident and lagging indicators, which is essential for future econometric models and nowcasting techniques developments to study these co-movements. In particular, with the proper application of nowcasting techniques, future studies can exploit the data of leading and coincident economic indicators to forecast Macau’s GDP and GGR within an acceptable level of error. Since Macau is a “monotown,” where the gaming revenue makes a significant contribution to the economy. The forecasting of gaming revenue is crucial as it aids the gambling and tourism industries in preparing supply and provides information to policymakers to plan for the near future. This research also contributes to understand Macau’s economy by investigating its internal and external economic variables. C1 - Hong Kong DA - 2021/12/01/ PY - 2021 DP - ResearchGate SP - 113 EP - 136 ST - Nowcasting Gross Domestic Product and Gross Gaming Revenue of Macau UR - https://www.researchgate.net/publication/362831464_Nowcasting_Gross_Domestic_Product_and_Gross_Gaming_Revenue_of_Macau_a_Theoretical_and_Conceptual_Framework ER - TY - CONF TI - A Prospective analysis about employee retention strategies for Macao Hotel Industry AU - Chong, Ka Yee AU - Lobo Marques, Joao A. T3 - ICEME 2021 AB - Human resources are essential to the survival, success, and long-term growth of a company. Hotel is an industry requiring a high level of human resources for delivering high-quality personal service to the hotel guests to maintain its competitiveness in the business environment. With the rapid economic growth in Macao started in 2002, all the industries have been growing fast and competing fiercely for the limited manpower in Macao. However, the Macao hotel industry has been losing its attractiveness in the Macao labor market and needs to rely on non-local workers with a limited stay in Macao. The management team of the Macao hotel industry is looking for a solution to maintain a stable workforce. Therefore, a study has been conducted on the effectiveness of its employee retention strategies. A questionnaire was designed to collect the preferences of the employees and interviews were conducted to understand the perspective of the management team toward the employee retention strategies. The study shows the employee strategies are focused on key employees’ interests such as career development and prospect. However, the communication between the management team and employees failed and led to employee turnover. C1 - New York, NY, USA C3 - The 2021 12th International Conference on E-business, Management and Economics DA - 2021/07/17/ PY - 2021 DO - 10.1145/3481127.3481251 DP - ACM Digital Library SP - 533 EP - 537 PB - Association for Computing Machinery SN - 978-1-4503-9006-4 UR - https://doi.org/10.1145/3481127.3481251 Y2 - 2022/09/20/00:00:00 KW - Employee retention KW - Employee turnover reasons KW - Macao hotel industry KW - Macao shortage of manpower ER - TY - CONF TI - Intersectoral Linkages in Booming Sector Economies AU - Gomes, Sérgio Ricardo Santos AU - Marques, Joao Alexandre Lobo AU - Reis, Ricardo Ferreira T2 - ICEME 2022: 2022 13th International Conference on E-business, Management and Economics C1 - Beijing China C3 - 2022 13th International Conference on E-business, Management and Economics DA - 2022/07/16/ PY - 2022 DO - 10.1145/3556089.3556111 DP - DOI.org (Crossref) SP - 225 EP - 232 LA - en PB - ACM SN - 978-1-4503-9639-4 UR - https://dl.acm.org/doi/10.1145/3556089.3556111 Y2 - 2023/03/22/04:58:49 ER - TY - CONF TI - Exploring EEG Signal Features for Predicting Post Cardiac Arrest Prognosis AU - Guilherme Cunha Santos, Antonio AU - Alexandre Lobo Marques, Joao AU - Rigo Jr., Luis AU - Paulo Madeiro, João T2 - 2023 Computing in Cardiology Conference DA - 2023/11/26/ PY - 2023 DO - 10.22489/CinC.2023.312 DP - DOI.org (Crossref) UR - https://www.cinc.org/archives/2023/pdf/CinC2023-312.pdf Y2 - 2024/01/14/15:55:19 ER - TY - CONF TI - Consumers' Adoption of Molecular Chinese Medicine (MCM) in Macau: A Value-based approach AU - Hong, Chi Kit AU - Lampo, Alessandro AB - Molecular Chinese Medicine (MCM) is a recent method of manufacturing and dosing prescriptions that brings several advantages when compared with Traditional Chinese Medicine (TCM). For instance, MCM is highly dissoluble, tastes better than the usual decoction, and the active principles are easily absorbed. Also, the manufacturing process is subject to better quality control. In spite of these benefits, consumers' intentions remain unclear due to the novelty of this technique. Therefore, an assessment of individuals' perceptions is relevant since molecular medicine is redefining how scientists understand and treat diseases, and it can be considered a medical innovation. To fill the research gap, the Value-based Acceptance Model (VAM) (Kim et al., 2007) is used to assess the individuals' perceptions of value and intention to accept MCM. Data from a sample of Macau residents are analyzed by means of structural equation modeling (SmartPLS). The results support the use of the model in our context, thus extending the applicability of the VAM to other settings. Except for 'technicality', the constructs of 'usefulness', 'enjoyment', and 'perceived fee' had a significant impact on the overall 'perceived value' of MCM, and in turn on the behavioral intention to use the innovation. To facilitate the diffusion of this dosage method in the marketplace, it is suggested that communications strategies consider the proposed sources of value when promoting MCM. To further explain the adoption process, it is recommended to include additional factors that may affect consumers' intention to adopt the innovation and extend the analysis to the actual usage. C1 - Dubai, UAE C3 - Proceedings of the 17th International Conference of the Academy of Global Business Research and Practice (AGBRP 2022) DA - 2022/12/21/ PY - 2022 DP - ResearchGate LA - English PB - Academy of Global Business Research and Practice ST - Consumers' Adoption of Molecular Chinese Medicine (MCM) in Macau UR - https://www.researchgate.net/publication/366496584_Consumers%27_Adoption_of_Molecular_Chinese_Medicine_MCM_in_Macau_A_Value-based_approach ER - TY - CONF TI - A Review on Open Innovation and Absorptive Capacity in Small and Medium Enterprises during the last decade - Analyzing Bibliometrics to Understand the Development of the Field AU - Ip, Chi Hang AU - Lobo Marques, Joao Alexandre AU - Dos Santos Silva, Bruno Riccelli AU - Cortez, Paulo Cesar AU - Barbosa, Alvaro T3 - ICEME '23 AB - Small and medium-sized enterprises (SMEs) can benefit significantly from open innovation by gaining access to a broader range of resources and expertise using absorptive capacitive, and increasing their visibility and reputation. Nevertheless, multiple barriers impact their capacity to absorb new technologies or adapt to develop them. This paper aims to perform an analysis of relevant topics and trends in Open Innovation (OI) and Absorptive Capacity (AC) in SMEs based on a bibliometric review identifying relevant authors and countries, and highlighting significant research themes and trends. The defined string query is submitted to the Web of Science database, and the bibliometric analysis using VOSviewer software. The results indicate that the number of scientific publications has consistently increased during the past decade, indicating a growing interest of the scientific community, reflecting the industry interest and possibly adoption of OI, considering Absorptive. This bibliometric analysis can provide insights on the most relevant regions the research areas are under intensive development. C1 - New York, NY, USA C3 - Proceedings of the 2023 14th International Conference on E-business, Management and Economics DA - 2023/12/15/ PY - 2023 DO - 10.1145/3616712.3616786 DP - ACM Digital Library SP - 417 EP - 422 PB - Association for Computing Machinery SN - 9798400708022 UR - https://dl.acm.org/doi/10.1145/3616712.3616786 Y2 - 2024/01/01/00:00:00 KW - Absorptive Capacity KW - Bibliometric analysis KW - Open innovation KW - SMEs KW - VOSviewer ER - TY - CONF TI - Sustainable Buildings’ Projects – A Perspective from Consultants and Contractors based in Macau SAR, China AU - J.P.P. Santos, Eduardo AU - Lobo Marques, Joao AU - Phyllips, Jenny O. L. T3 - ICEME 2021 AB - China growing awareness of sustainability has brought out relevant aspects to move towards a green environment. Since its subscription in 2016, China has been committed to implementing the Paris Agreement, and the Greater Bay Area (GBA) development plan prioritizes ecology and pursuing green development. The primary purpose of this research is to perceive the companies' insights concerning the implementation of sustainable buildings’ projects in Macau. For this multi-case study analysis, primary data was gathered from interviews with two groups involved in the construction projects’ lifecycle: Consultants and Contractors, to analyze different perceptions and concerns. The interviews considered two different themes about the main topic: (1) Perception on Companies’ Experience in Sustainable Projects; (2) Key Drivers towards Sustainable Buildings’ Projects’ Implementation. In conclusion, according to the analyzed data, it is essential to notice that companies’ background and the market particularities affect their corporate performance specially connected to the green construction frameworks. The data also indicate that it is necessary to move towards regulations and policies to change corporate and people's mindset. C1 - New York, NY, USA C3 - The 2021 12th International Conference on E-business, Management and Economics DA - 2021/07/17/ PY - 2021 DO - 10.1145/3481127.3481252 DP - ACM Digital Library SP - 865 EP - 870 PB - Association for Computing Machinery SN - 978-1-4503-9006-4 UR - https://doi.org/10.1145/3481127.3481252 Y2 - 2022/09/20/00:00:00 KW - Construction industry KW - Green building KW - Sustainable Policies KW - Sustainable building ER - TY - CONF TI - Investigation on citizen trust towards e-government services in GBA – A study on WeChat and Alipay government service mini-programs AU - Lai, Chimeng AU - Joao, Alexandre Lobo Marques T3 - ICEME 2022 AB - Citizens' trust in eGovernment is crucial for the successful implementation of new electronic services. This relationship in the Greater Bay Area (GBA) plays an essential role since the Government services rely on mobile mini-programs This study investigates the trust towards government service mini-programs in WeChat and Alipay. A user feedback questionnaire was designed, and a total of 609 valid samples were collected from Shenzhen, Guangzhou, Hong Kong, and Macau. The findings imply that competence, integrity, and benevolence are the key components of trust in e-government (TIEG). TIEG positively influences perceived value (PV), which positively affects citizens' Intention to adopt service mini-programs. PV significantly mediates the relationship between TIEG and Intention. Although TIEG does not effectively reduce perceived risk (PR), risk issues cannot be ignored in the adoption process. Finally, this article proposes relevant implications and suggestions for the GBA government agents and policy makers. C1 - New York, NY, USA C3 - 2022 13th International Conference on E-business, Management and Economics DA - 2022/11/30/ PY - 2022 DO - 10.1145/3556089.3556110 DP - ACM Digital Library SP - 588 EP - 594 PB - Association for Computing Machinery SN - 978-1-4503-9639-4 UR - https://doi.org/10.1145/3556089.3556110 Y2 - 2023/03/14/00:00:00 ER - TY - CONF TI - How is Technology Accepted? Fundamental Works in User Technology Acceptance from Diffusion of Innovations to UTAUT-2 AU - Lampo, Alessandro T3 - ICIBE '22 AB - The decision to accept and use technology innovations has long been a source of debate across disciplines due to the complexity involved in predicting behavior. Recognizing that the subject is vast and fragmented, this paper examines the mainstream technology works to assist researchers to understand, conceptualize and select the most appropriate theoretical framework for their study. Starting with the pioneering effort on Diffusion of Innovations (DOI/IDT), the analysis considers the Theory of Reasoned Action (TRA), the Theory of Planned Behavior (TPB), the Technology Acceptance Model (TAM/TAM-2/TAM-3), the Value-based Acceptance Model (VAM), and the Unified Theory of Acceptance and Use of Technology (UTAUT/UTAUT-2) among the most important. A review of the key literature is vital to assessing and identifying research trends, as well as contributing to the discussion of emerging technologies such as Artificial Intelligence (AI), Augmented Reality (AR), Blockchain, Cloud Computing, Internet of Things (IoT), Mobile Apps, etc. Suggestions for future research paths are also provided. C1 - New York, NY, USA C3 - Proceedings of the 8th International Conference on Industrial and Business Engineering DA - 2023/01/25/ PY - 2023 DO - 10.1145/3568834.3568903 DP - ACM Digital Library SP - 260 EP - 266 PB - Association for Computing Machinery SN - 978-1-4503-9758-2 ST - How is Technology Accepted? UR - https://dl.acm.org/doi/10.1145/3568834.3568903 Y2 - 2023/03/16/00:00:00 KW - Acceptance and Use of Technology KW - Product Innovation KW - Technology Acceptance KW - Technology Adoption KW - Technology Innovation ER - TY - CONF TI - The Role of Habit in UTAUT-2 Research: A Study of BEV Users AU - Lampo, Alessandro T3 - ICIBE '23 AB - The UTAUT-2 offers the most comprehensive assessment of individual acceptance and use of technology to date. In particular, the theoretical additions of “hedonic motivation”, “price value”, and “habit”, made the model suitable for studying technology in a consumer context. However, a review of the literature revealed that the construct of habit has been dropped from a large number of studies. There are several reasons for this, including that the technologies examined were relatively new for the respondents to form a routine behavior. Therefore, this study aims to explore whether the construct can be used as a key predictor of future intention to use an innovation rather than an acquired practice among technology users. For this purpose, a conceptual model based on the theoretical additions to the UTAUT-2 is proposed and analyzed with structural equation modeling (SmartPLS). Our results showed significant relationships between the predictors and the behavioral intention to use battery electric vehicles (BEV) technology, and, in particular, depicted the construct of habit as the strongest factor in the decision to adopt the technology. In light of our findings, the construct of habit (HT) should be used in research together with the other UTAUT-2 predictors to assess individuals’ perceptions of possible future habitual behaviors. C1 - New York, NY, USA C3 - Proceedings of the 2023 9th International Conference on Industrial and Business Engineering DA - 2023/12/28/ PY - 2023 DO - 10.1145/3629378.3629384 DP - ACM Digital Library SP - 449 EP - 453 PB - Association for Computing Machinery SN - 9798400708824 ST - The Role of Habit in UTAUT-2 Research UR - https://dl.acm.org/doi/10.1145/3629378.3629384 Y2 - 2024/01/02/00:00:00 KW - Battery Electric Vehicles (BEVs) KW - Consumer Behavior KW - Habit KW - Process Innovation KW - Technology Acceptance KW - UTAUT-2. ER - TY - CONF TI - Macao: A Study on the Impact of Global, Regional and Local Forces. AU - Lampo, Alessandro AU - Care, Leanda AB - Over the years Macao has been exposed to different cultures and has been influenced by various political and economic interests. The booming casino economy has ultimately transformed the city into the largest gambling hub in the world. In spite of the consensus about Macao's shiny future, there are factors (such as the large reliance on a single industry) and socio-economic problems (such as labor shortage, unequal income distribution, and inflationary pressure) that moderate the optimism. By making use of the Chatterjee and Nankervis' convergent and divergent process model for management, this paper examines how global, regional, and local forces have impacted the economic development process, form and type of organizations in Macao. The paper also suggests that the government implement a framework that develops and diversifies the economy but also takes into consideration the social needs of the community. C1 - Singapore C3 - Proceedings of the 12th Society for Global Business & Economic Development (SGBED 2011) DA - 2011/07/21/ PY - 2011 DP - ResearchGate PB - Signapore Management University ST - Macao UR - https://www.researchgate.net/publication/262098245_Macao_A_Study_on_the_Impact_of_Global_Regional_and_Local_Forces ER - TY - CONF TI - Critical development of green marketing in the hotel industry: Macao case study AU - Lampo, Alessandro AU - Gregori, Gian Luca AU - Cardinali, Silvio AU - Temperini, Valerio T2 - SGBED Research Symposiums:Doing Well by Doing Good: New Perspectives on Corporate Social Responsibility, Sustainability, and Inclusive Capitalism AB - This study analyzes the green marketing strategies with specific reference to the hotel industry. The concept of green marketing in this sector is crucial due to the growing expected importance of tourism in the future of global economy and its potential impact on social and economic development; this is true particularly in areas with relevant volumes of tourist arrivals. In this sense, we carried out an exploratory research in the hotel industry of the Special Administrative Region (SAR) of Macao in order to: highlight the primary motivations that underlie interventions geared towards the eco-sustainability of hotels, the services they offer and point out the problems, issues, and future prospects in the development of green marketing, as well as explore the role of eco-sustainable values in hotels’ online communication policies. In order to reach these aims a qualitative research was carried out with a semi-structured questionnaire (face-to-face interviews) to a group of hotels. The research was finished by an analysis of their websites, in order to verify possible references to the steps taken to protect the environment. C1 - Bangalore, India DA - 2012/07/09/11 PY - 2012 PB - Society for Global Business and Economic Development UR - https://www.researchgate.net/publication/262098190_Critical_development_of_green_marketing_in_the_hotel_industry_Macao_case_study ER - TY - CONF TI - Attitude and perception towards green products in Macao: An exploratory study AU - Lampo, Alessandro AU - Leong, Sin U T2 - 13th Society for Global Business & Economic Development (SGBED 2014) C1 - Ancona, Italy DA - 2014/// PY - 2014 PB - Society for Global Business and Economic Development ST - Macao UR - https://www.researchgate.net/publication/264048865_Attitude_and_perception_towards_green_products_in_Macao_An_exploratory_study ER - TY - CONF TI - Environmental Concern and the Intention to Use Eco-friendly Technologies: An Analysis of Battery Electric Vehicles in Macau. AU - Lampo, Alessandro AU - Silva, Susana C. T3 - ICEME '23 AB - A growing number of people are becoming aware of the environmental footprint that our actions have on the environment. Research indicates that a key factor leading to the adoption of an electric vehicle is consumers’ high environmental concern. Indeed, the environmental concern (EC) construct is commonly associated with the purchase of sustainable and eco-friendly products in literature. Our study challenges this assumption. We examined how the environmental factor influenced the behavioral intention of Macau residents to adopt battery-electric vehicle (BEV) technology. For this purpose, we conducted a study based on the UTAUT-2 framework and used structural equation modeling (SmartPLS) to analyze the data. As a result, the choice of vehicles did not depend on the consumers’ level of concern. It appeared that consumers strongly perceived the benefits of a cleaner environment, however, when it comes to technology, environmental benefits are nice to have, rather than the primary incentive to purchase BEVs. Researchers should consider the role of environmental concern as a background factor in technology acceptance models, rather than a direct predictor of behavior. It is also recommended that marketers correctly consider this element when developing their product communications strategies, to appeal to the desired segment of customers. C1 - New York, NY, USA C3 - Proceedings of the 2023 14th International Conference on E-business, Management and Economics DA - 2023/12/15/ PY - 2023 DO - 10.1145/3616712.3616761 DP - ACM Digital Library SP - 446 EP - 452 PB - Association for Computing Machinery SN - 9798400708022 ST - Environmental Concern and the Intention to Use Eco-friendly Technologies UR - https://dl.acm.org/doi/10.1145/3616712.3616761 Y2 - 2023/12/17/00:00:00 KW - BEV KW - Clean Energy Technology KW - Environmental Footprint KW - Macau. KW - Sustainable Transportation KW - Technology Acceptance ER - TY - CONF TI - How Social Influence and Image Impact on the Intention to Use a Technology: A Study from the Battery Electric Vehicle Domain AU - Lampo, Alessandro AU - Silva, Susana C. T3 - ICEME 2022 AB - Technology research offers several theories and models to explain how individuals accept and use technology innovations. While these often focus on the technical aspects of the innovation, they tend to downplay the affective component of technology. Recognizing that the adoption of technology is also determined by what it means and represents to the users, this paper aims to fill the gap in the literature by studying the effects of social influence and image on the behavioral intention to adopt a technology. We used structural equation modeling (SmartPLS) to analyze data collected from 238 self-administrated surveys regarding the behavioral intention of Macau residents to use battery electric vehicles. The result showed significant relationships among the variables in the model and depicted the construct of image as a strong factor in the adoption decision. Our findings suggest that social influence may not exhibit substantial impact in the case of innovations in their initial phase and, more importantly, the construct of image could be included as a key predictor of behavioral intention in technology acceptance models, particularly in contexts where the choices that consumers make are public, and therefore subject to judgments from the members of the community. C1 - New York, NY, USA C3 - 2022 13th International Conference on E-business, Management and Economics DA - 2022/11/30/ PY - 2022 DO - 10.1145/3556089.3556123 DP - ACM Digital Library SP - 142 EP - 146 PB - Association for Computing Machinery SN - 978-1-4503-9639-4 ST - How Social Influence and Image Impact on the Intention to Use a Technology UR - https://doi.org/10.1145/3556089.3556123 Y2 - 2023/03/14/00:00:00 KW - Battery Electric Vehicles KW - Image KW - SmartPLS KW - Social Influence KW - Technology Acceptance ER - TY - CONF TI - The Influence of Society on the Behavioral Intention to Use a Technology: Evidence from the Battery Electric Vehicles Domain AU - Lampo, Alessandro AU - Silva, Susana C. AB - 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. C1 - Madrid, Spain C3 - Proceedings of the 50th European Marketing Academy (EMAC) DA - 2021/05/25/ PY - 2021 LA - en PB - European Marketing Academy ST - The Influence of Society on the Behavioral Intention to Use a Technology UR - http://proceedings.emac-online.org/pdfs/A2021-93961.pdf DB - A2021-93961 ER - TY - CONF TI - COVID-19: Short-Run Impacts of the Pandemic on the Integrated Resort Oligopoly of Macao AU - Lei, Weng Chi T2 - The International Workshop Tourism and Hospitality Management (IWTHM2021) AB - 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. DA - 2021/05/01/ PY - 2021 DP - ResearchGate SP - 121 EP - 137 ST - COVID-19 UR - https://www.researchgate.net/publication/362831315_COVID-19_Short-Run_Impacts_of_the_Pandemic_on_the_Integrated_Resort_Oligopoly_of_Macao ER - TY - CONF TI - Endogenous fragmented technology and optimal offshoring in large civil aircraft production AU - Lei, Weng Chi T2 - The 9th Annual Conference of the Asia-Pacific Economic Association AB - This paper is motivated by two observations in the large civil aircraft (LCA) industry. (1) Boeing and Airbus are significantly different in the degree of offshoring. (2) The degree of offshoring also changes among different aircraft models. To offer an explanation, this paper focuses on issues related to fragmentation. Existing literature has established the tie between fragmented technology and offshoring. However, it is assumed that production can be fragmented readily and at no cost; and only exogenous global economic factors have impact on the degree of fragmentation. This model distinguishes itself from others by incorporating endogeneity in fragmentation. A final-good firm can spend on R&D specifically for its own fragmented technology. As a result, the final-good firm can optimally choose the portion of components to be offshored. A strategic trade policy model is used to show that the degree of offshoring depends on the firm's own cost of production, the host country's cost of production, the global state of technology as well as the government trade policies. In particular, export subsidy and subsidy on R&D of fragmented technology are shown to be policy substitutes. Keywords: Fragmentation; Offshoring; Outsourcing; Aircraft; Export subsidy; R&D subsidy; Boeing; Airbus JEL classification: F12; F13; F23; L13 C1 - Osaka, Japan DA - 2013/07/28/ PY - 2013 DP - ResearchGate UR - https://www.researchgate.net/publication/369091812_Endogenous_fragmented_technology_and_optimal_offshoring_in_large_civil_aircraft_production ER - TY - CONF TI - Digital Renminbi: Impacts on Economic Integration of the Greater Bay Area AU - Lei, Weng Chi AU - Wang, Xinru A2 - Lau, Evan A2 - Brahmana, Rayenda Khresna A2 - Tan, Lee Ming AB - The degree of economic integration in the Guangdong-Hong Kong-Macau Greater Bay Area (GBA), as reflected in the mobility of trade and capital flows, has been strengthened by free trade agreements, but obstacles including border effects, capital controls, differences of exchange rate systems and inadequate cross-regional coordination remain. Digital renminbi (e-CNY) has been tested in Shenzhen, a core GBA city since April 2020. If e-CNY is adopted in the GBA, the area will effectively become a single currency zone. Whether the GBA constitutes an “optimum currency area” (OCA) depends on its degree of economic integration. This paper computes real interest rate differential (RID), uncovered interest rate differential (UID) and deviation from purchasing power parity (PPD) of each regional pair based on data of interest rates, exchange rates and price indexes from 2016M2 to 2022M7. All UID, PPD and RID series have means within about 1 percent point from 0, indicating high degrees of financial integration, real integration and economic integration. With the exception of Guangdong-Macau RID, all series are stationary, implying mean-reverting behavior. Hence, the parities are expected to hold both in the short run and in the long run, which is a condition for an OCA in the GBA. Furthermore, the regression analysis finds that the test launch of e-CNY in Shenzhen (adjusted for the COVID-19 outbreak) has significant impacts on all RIDs, Guangdong-Macau PPD and Hong Kong-Macau PPD. With merely two and a half years of test launch, the introduction of e-CNY already had impacts on overall economic integration in the GBA. C1 - Singapore C3 - Economics and Finance Readings DA - 2023/// PY - 2023 DO - 10.1007/978-981-99-1979-6_1 DP - Springer Link SP - 1 EP - 14 LA - en PB - Springer Nature SN - 978-981-9919-79-6 ST - Digital Renminbi KW - Economic development policy KW - Economic integration KW - Exchange rate regime KW - Financial integration KW - Greater Bay Area KW - Optimum currency area ER - TY - CONF TI - Economic Integration in the GBA: a Price-Based Assessment of Real and Financial Integration in the Greater Bay Area AU - Lei, Weng Chi AU - Wang, Xinru T3 - ICEME 2022 AB - The Guangdong-Hong Kong-Macau Greater Bay Area (GBA) was first conceptualized in 2016, which aimed to facilitate trade and finance liberalization among the three regions. The trade and financial environment of the GBA is unique. Due to the “one country, two systems” principle, Mainland China, Hong Kong and Macau are considered to be trading partners bounded by WTO rule, but bilateral free trade agreements have been signed between Mainland China and Hong Kong, and between Mainland China and Macau, but not between Hong Kong and Macau. Furthermore, each of the three regions circulates a local currency subject to its own exchange rate policy, with Hong Kong Dollar and Macau Pataca currently pegged to the US Dollar. These affect the mobility of trade and capital flows in the area. Hence, this paper applies the widely-used price-based approach due to Cheung et al. [5] to analyze the degrees of real and financial integration in the GBA based on interest rates, exchange rates, and price indexes data from January, 2016 to November, 2021. The real interest differential (RID), uncovered interest differential (UID) and the deviation from purchasing power parity (PPD) between each regional pair have means that are statistically and economically close to zero, implying high real and financial integration in the GBA. The unit root tests for stationarity also confirm that the time series are mean-reverting, so the economic integration in the GBA in the long run is foreseeable. C1 - New York, NY, USA C3 - 2022 13th International Conference on E-business, Management and Economics DA - 2022/11/30/ PY - 2022 DO - 10.1145/3556089.3556112 DP - ACM Digital Library SP - 198 EP - 203 PB - Association for Computing Machinery SN - 978-1-4503-9639-4 ST - Economic Integration in the GBA UR - https://doi.org/10.1145/3556089.3556112 Y2 - 2023/03/14/00:00:00 KW - Economic development policy KW - Economic integration KW - Financial Integration KW - Greater Bay Area ER - TY - CONF TI - Fast Cluster-learning with Prior Probability from Big Dataset AU - Li, Tengyue AU - Fong, Simon AU - Lobo Marques, Joao Alexandre AU - Wong, Raymond K. T2 - 2018 5th International Conference on Soft Computing & Machine Intelligence (ISCMI) AB - Association Rule Mining by Aprior method has been one of the popular data mining techniques for decades, where knowledge in the form of item-association rules is harvested from a dataset. The quality of item-association rules nevertheless depends on the concentration of frequent items from the input dataset. When the dataset becomes large, the items are scattered far apart. It is known from previous literature that clustering helps produce some data groups which are concentrated with frequent items. Among all the data clusters generated by a clustering algorithm, there must be one or more clusters which contain suitable and frequent items. In turn, the association rules that are mined from such clusters would be assured of better qualities in terms of high confidence than those mined from the whole dataset. However, it is not known in advance which cluster is the suitable one until all the clusters are tried by association rule mining. It is time consuming if they were to be tested by brute-force. In this paper, a statistical property called prior probability is investigated with respect to selecting the best out of many clusters by a clustering algorithm as a pre-processing step before association rule mining. Experiment results indicate that there is correlation between prior probability of the best cluster and the relatively high quality of association rules generated from that cluster. The results are significant as it is possible to know which cluster should be best used for association rule mining instead of testing them all out exhaustively. C3 - 2018 5th International Conference on Soft Computing & Machine Intelligence (ISCMI) DA - 2018/11// PY - 2018 DO - 10.1109/ISCMI.2018.8703219 DP - IEEE Xplore SP - 60 EP - 66 KW - Association Rule Mining KW - Big Data KW - Clustering KW - Clustering algorithms KW - Data mining KW - Itemsets KW - Preprocessing KW - Prior Probability KW - Probabilistic logic KW - Probability distribution ER - TY - CONF TI - An Exploratory Comparison of Stock Prices Prediction using Multiple Machine Learning Approaches based on Hong Kong Share Market AU - Lin, Chinyang AU - Lobo Marques, João Alexandre T3 - ICEME '23 AB - Stock price prediction has always been challenging due to its volatility and unpredictability. This paper performs a preliminary exploratory comparison that utilizes Long Short-Term Memory (LSTM) and Support Vector Machine (SVM) algorithms to forecast the stock market in Hong Kong. It considers a public dataset publicly available and uses feature engineering to extract relevant features. Then, LSTM and SVM algorithms are applied to predict stock prices. Our results show that the proposed machine learning techniques can predict stock prices in Hong Kong's share market with the error metrics presented, and, for this purpose, LSTM achieved better results than SVM, with MSE = 0.0026, RMSE = 0.0508, MAE = 0.0406, and MAPE = 1.325. C1 - New York, NY, USA C3 - Proceedings of the 2023 14th International Conference on E-business, Management and Economics DA - 2023/12/15/ PY - 2023 DO - 10.1145/3616712.3616762 DP - ACM Digital Library SP - 311 EP - 316 PB - Association for Computing Machinery SN - 9798400708022 UR - https://doi.org/10.1145/3616712.3616762 Y2 - 2024/01/14/00:00:00 KW - Long Short-Term Memory (LSTM) KW - Machine Learning KW - Stock price prediction KW - Support Vector Machine (SVM) KW - Time-series analysis ER - TY - CONF TI - Microsoft Power BI Desktop for Data Analytics AU - NEGREIROS, J. Garrott Marques AU - MARQUES, JA Lobo C3 - Proc. Multidiscip. Acad. Conf DA - 2019/// PY - 2019 DP - Google Scholar SP - 132 ER - TY - CONF TI - Contemplation on Today’s Digital Education AU - Negreiros, João AU - de Fatima Oliveira, Maria A2 - Rocha, Alvaro A2 - Correia, Ana Maria A2 - Costanzo, Sandra A2 - Reis, Luis Paulo T3 - Advances in Intelligent Systems and Computing AB - This paper starts to address the affect and side-effects of social media on people’s live in a pure contemplation perspective. Social networks are revised and some issues regarding its impact on education was not forgotten such as the teacher role in the digital classroom, formal versus informal learning or Web 2.0 tools use. Since Moodle is the first Learning Management System whilst Facebook is the first social network in the world, a survey was accomplished with two independent classes of e-business students at University of Saint Joseph, Macao, China, on their attitudes toward both online services in a learning framework. In general, the results confirms to a certain extent others previous studies on the question of whether using Facebook as an educational tool is more effective than Moodle. C1 - Cham C3 - New Contributions in Information Systems and Technologies DA - 2015/// PY - 2015 DO - 10.1007/978-3-319-16486-1_120 DP - Springer Link SP - 1213 EP - 1220 LA - en PB - Springer International Publishing SN - 978-3-319-16486-1 KW - Education KW - Facebook KW - Macao KW - Moodle KW - Social Networks ER - TY - CONF TI - The future of Cosmetics Advertisement Strategy: A Neuromarketing Study using Electrodermal Activity (EDA) as a measure of Emotional Arousal AU - Neto, Andreia AU - Lobo Marques, Joao Alexandre T3 - ICEME 2022 AB - Neuromarketing lies at the intersection of three main disciplines: psychology, neuroscience, and marketing, and it has been a successful neuroscientific approach for the study of real-life choices such as consumer behavior [1]. A current gap in the cosmetics field is the lack of published research studies, considering the marketing investment done yearly in this category. With the rapid economic expansion and the rise of social media in China, consumers' interest in beauty is growing. Even though the Chinese cosmetics sector is rapidly expanding, no studies have been done with Chinese consumers. This study aims to employ the same approach as previously done in consumer neuroscience studies to evaluate cosmetic brands' marketing strategy to understand better if immediate emotional responses can be measured using Electrodermal Activity (EDA). Here, we focus on cosmetics products advertisement as a model to understand consumer preference formation and choice. Eighteen Chinese female consumers were recruited between 19 and 37 years old. From the results obtained, it was understood that none of the participants have voted for the product advertisement for which they showed higher emotional arousal. However, it appears that the participants' preference is for the products for which the brand awareness is stronger since the product advertisements with more votes are the ones for the Korean brand used. The product advertisements with Asian faces were the ones with more votes, suggesting that Asian faces have engaged consumer preference. However, the product advertisements for the Brazilian brands, unknown to the Chinese public, were the ones with fewer votes, although, those product advertisements were the ones with more emotional arousal per minute. Those advertisements were also those with non-Asian faces, suggesting that this feature influenced voting decisions. From this study, it has been observed that Electrodermal Activity is a measure of emotional arousal that by itself cannot be translated into consumer engagement. Therefore, it is also proposed to evaluate brand awareness in future studies related to product advertisements. The physical features of the people included in the advertisements is also suggested to be further evaluated in future studies since a different cultural background seems to influence the consumers' engagement. Furthermore, using EDA to complement other neurophysiological tools like facial expression analysis is also suggested for future studies to have evidence about the nature of the emotions raised. C1 - New York, NY, USA C3 - 2022 13th International Conference on E-business, Management and Economics DA - 2022/11/30/ PY - 2022 DO - 10.1145/3556089.3556126 DP - ACM Digital Library SP - 81 EP - 86 PB - Association for Computing Machinery SN - 978-1-4503-9639-4 ST - The future of Cosmetics Advertisement Strategy UR - https://dl.acm.org/doi/10.1145/3556089.3556126 Y2 - 2023/03/21/00:00:00 KW - advertisement KW - consumer behavior KW - consumer neurosciences KW - cosmetics KW - marketing KW - neuromarketing ER - TY - CONF TI - Entrepreneurial Process of SMEs in Macau AU - Phillips, Jenny O. L. AU - Oliveira, Nelio T3 - ICEME 2022 AB - In recent years, entrepreneurship and innovation have been highly propagandised for Macau's economic development, diversification, and the Greater Bay Area (GBA). Since 2013, efforts have been exerted by the Macau government to encourage and support entrepreneurship, from the launching of the Young Entrepreneurs' Aid Scheme in 2013 and the Macau Young Entrepreneur Incubation Centre in 2015. While the failure rate of startups has been considered high in most parts of the world, the rate was only as low as 14% in Macau, with many businesses created every year. This research aims to study the unique entrepreneurial environment for small-to-medium enterprises (SMEs) starting up in Macau from the experience of local entrepreneurs who are benefactors of government support. In-depth interviews were conducted to understand the experience and perceptions of these entrepreneurs as they go through each stage of the entrepreneurial process. Existing research on entrepreneurial processes varies from the two-stage process, which focuses on the beginning of an enterprise, to the different models of various stages from ideas generation to exit or long-term development. From the consolidation of the literature on the entrepreneurial process, five key stages were taken to guide this qualitative research. Findings suggested that idea validation at the start of the entrepreneurial process is almost non-existent amongst our research subjects. Yet it does not affect the implementation and growth of these SMEs. The growth strategies tend to be steady and for the long term, with most SMEs having no consideration of an exit plan. C1 - New York, NY, USA C3 - 2022 13th International Conference on E-business, Management and Economics DA - 2022/11/30/ PY - 2022 DO - 10.1145/3556089.3556113 DP - ACM Digital Library SP - 563 EP - 568 PB - Association for Computing Machinery SN - 978-1-4503-9639-4 UR - https://doi.org/10.1145/3556089.3556113 Y2 - 2023/03/14/00:00:00 KW - Economic diversification KW - Entrepreneurial process KW - Government entrepreneurship aids ER - TY - CONF TI - Evaluating an Enterprise Content Management for the Macao Government Agency AU - Pong, F. AU - Whitfield, R. AU - Negreiros, J. A2 - Cruz-Cunha, Maria Manuela A2 - Varajão, João A2 - Powell, Philip A2 - Martinho, Ricardo T3 - Communications in Computer and Information Science AB - Information contained within documents is an essential ingredient of any office operation. A content management application (CMA) is an organization plan for the conception, use, retention, disposal and selective preservation of its data. Using an appropriate CMA framework can greatly help Macao Government agencies, for instance, that are increasingly using electronic means to create, exchange and store a major variety of records daily. By definition, a record is information, in whatever form, for government functions, activities, decisions and other important transactions. As expected, as the volume of electronic information increases, so does the complexity of managing electronic records. This project goal was to evaluate the software capabilities of the Alfresco© Enterprise Content Management (ECM) against a set of functional requirements, aimed by the Macao Government agency. Drawing on the results of this evaluation, the present analysis concludes that Alfresco© ECM is capable of supporting an entire agency needs related to the management of its records content. C1 - Berlin, Heidelberg C3 - ENTERprise Information Systems DA - 2011/// PY - 2011 DO - 10.1007/978-3-642-24355-4_4 DP - Springer Link SP - 29 EP - 39 LA - en PB - Springer SN - 978-3-642-24355-4 KW - Alfresco© KW - Enterprise Content Management KW - Macao Government KW - Open Source Software ER - TY - CONF TI - Training Strategies for Covid-19 Severity Classification AU - Pordeus, Daniel AU - Ribeiro, Pedro AU - Zacarias, Laíla AU - de Oliveira, Adriel AU - Marques, João Alexandre Lobo AU - Rodrigues, Pedro Miguel AU - Leite, Camila AU - Neto, Manoel Alves AU - Peixoto, Arnaldo Aires AU - do Vale Madeiro, João Paulo A2 - Rojas, Ignacio A2 - Valenzuela, Olga A2 - Rojas Ruiz, Fernando A2 - Herrera, Luis Javier A2 - Ortuño, Francisco T3 - Lecture Notes in Computer Science AB - The COVID-19 pandemic has posed a significant public health challenge on a global scale. It is imperative that we continue to undertake research in order to identify early markers of disease progression, enhance patient care through prompt diagnosis, identification of high-risk patients, early prevention, and efficient allocation of medical resources. In this particular study, we obtained 100 5-min electrocardiograms (ECGs) from 50 COVID-19 volunteers in two different positions, namely upright and supine, who were categorized as either moderately or critically ill. We used classification algorithms to analyze heart rate variability (HRV) metrics derived from the ECGs of the volunteers with the goal of predicting the severity of illness. Our study choose a configuration pro SVC that achieved 76% of accuracy, and 0.84 on F1 Score in predicting the severity of Covid-19 based on HRV metrics. C1 - Cham C3 - Bioinformatics and Biomedical Engineering DA - 2023/// PY - 2023 DO - 10.1007/978-3-031-34953-9_40 DP - Springer Link SP - 514 EP - 527 LA - en PB - Springer Nature Switzerland SN - 978-3-031-34953-9 KW - COVID-19 KW - Electrocardiogram (ECG) KW - Heart Rate Variability (HRV) KW - disease severity classification KW - signal processing ER - TY - CONF TI - Facial expression for marketing and consumer behavior: A Bibliometric analysis from 2013-2023 using Data Visualization Tools AU - Qian, Cheng AU - Lobo Marques, Joao Alexandre T3 - ICEME '23 AB - The classification of emotions based on facial expressions have been a new topic of research in recent years, especially in marketing and consumer behavior areas. However, there is lack of studies to understand how the research topic is developed in terms of bibliometric data. Therefore, the purpose of this work is to provide a bibliometric analysis of the research on the analysis of facial expressions for marketing and consumer behavior, identifying the state of the art, the latest research direction, and other indicators. We extracted data from Web of Science (WOS) platform, considering its core database, resulting in a total of 117 articles. The software Vosviewer was used to analyze the data and graphically visualize the results. This study indicates some of the most influential authors citations and coupling analysis in this specific field, identifies journals with the most published articles, and provide trends of the research area based on the analysis of keywords and corresponding number of articles per year. The results shows that 11 articles (9.4%) were cited more than 100 times, and the two most prolific authors published 5 articles, and the two most influential authors are Bouaziz Sofien and Pauly mark(270 citations) in this field. Of the 117 articles retrieved by WOS, more than 70% were published in high impact journals. The bibliometric analysis of the existing work in this study provides a valuable and reliable reference for researchers in this field and makes a reasonable prediction of the research direction trends. C1 - New York, NY, USA C3 - Proceedings of the 2023 14th International Conference on E-business, Management and Economics DA - 2023/12/15/ PY - 2023 DO - 10.1145/3616712.3616717 DP - ACM Digital Library SP - 270 EP - 275 PB - Association for Computing Machinery SN - 9798400708022 ST - Facial expression for marketing and consumer behavior UR - https://doi.org/10.1145/3616712.3616717 Y2 - 2024/01/14/00:00:00 KW - Bibliometric analysis KW - Consumer KW - Facial expression KW - Marketing KW - Research KW - VOSviewer ER - TY - CONF TI - Sustainable Practices in Hotel Chains—A Comparative Analysis of Official Annual Hospitality Sustainable Reports from Listed Companies in Macau SAR, China AU - Santos, Ana Sofia Kong AU - Marques, João Alexandre Lobo A2 - Gartner, William C. T3 - Springer Proceedings in Business and Economics AB - In the last few years, the tourism industry has experienced rapid expansion and diversification, making it one of the fastest-growing financial industries in the world. Consequently, the hotel industry has significantly affected the environment's long-term viability. Many hotels have begun voluntarily implementing environmentally sustainable practices as they become more aware of their ecological footprint. There has been a great deal of discussion about the effects of hotel operations on the environment and tourism sustainability in Macau. It is because of these negative impacts that hoteliers have adopted green practices in an attempt to minimize them. By developing sustainability reports, hotels can set goals, measure performance, and manage change, resulting in better sustainability. It could also be viewed as a strategy to enhance the company’s sustainability reporting to ensure stakeholders know what the company does. The objective of this study is twofold based on the analysis of the official sustainability reports of four major hotel chains. Firstly, seven categories of sustainable practices effectively adopted by these chain hotels are identified and clusterized. Second, it is presented in which areas some hotels performed more efficiently than others, considering the UN Sustainable Development Goals (SDGs) as a reference. The results allow a comprehensive clusterized analysis of the industry in a highly developed gaming and entertainment area of South China and create a clear comparison between relevant players and their concerns about sustainability practices. C1 - Cham C3 - New Perspectives and Paradigms in Applied Economics and Business DA - 2023/// PY - 2023 DO - 10.1007/978-3-031-23844-4_23 DP - Springer Link SP - 319 EP - 338 LA - en PB - Springer International Publishing SN - 978-3-031-23844-4 KW - Environmentally sustainable practices KW - Macau hotels KW - Sustainable development goals (SDGs) KW - Sustainable reports KW - Tourism industry ER - TY - CONF TI - The Application of Nudge Theory in Ensuring Change Acceptance in the Hospitality-Gaming Industry – A Case Analysis from Macau SAR, China AU - Tagulao, Thea Clarice Saavedra AU - Marques, Joao Alexandre Lobo T3 - ICEME 2022 AB - As the rate of change increases exponentially, organizations must adapt quickly to the business landscape's volatility, uncertainty, complexity, and ambiguity (VUCA). As a result, organizations must implement agile strategies and practices to ensure their responsiveness and readiness to any changes brought about by internal or external factors. With a greater number of changes, change agents are tasked with implementing various change management methodologies to ensure that change recipients accept change initiatives. This research will look at one of the methodologies used by change agents, the use of nudges from Thaler and Sunstein's Nudge Theory, which is a subtle intervention to influence an individual's decision-making with the goal of steering them towards a specific desired outcome; and analyze their effectiveness towards the change recipients when implemented. Change agents were interviewed on the application of Nudge Theory to change recipients when managing to change initiatives within their respective organizations. The results indicate that the use of nudges created by the change agents can significantly impact the level of resistance from the change recipients. If used correctly, the Nudge Theory can mitigate change resistance, and the success of a change initiative is higher. But, if change recipients are forced to comply, their resistance will be greater, affecting the organization overall. C1 - New York, NY, USA C3 - 2022 13th International Conference on E-business, Management and Economics DA - 2022/11/30/ PY - 2022 DO - 10.1145/3556089.3556121 DP - ACM Digital Library SP - 533 EP - 539 PB - Association for Computing Machinery SN - 978-1-4503-9639-4 UR - https://doi.org/10.1145/3556089.3556121 Y2 - 2023/03/14/00:00:00 KW - Change Initiatives KW - Change Resistance KW - Nudge Theory KW - Organizational Behavior KW - Organizational Change Management ER - TY - CONF TI - Computer Literacy Teaching Using Peer Learning and Under the Confucian Heritage Cultural Settings of Macao, China AU - Wong, Kelvin AU - Neves, Ana AU - Negreiros, João AB - University students in Macao are required to attend computer literacy courses to raise their basic skills levels and knowledge as part of their literacy foundation. Still, teachers frequently complain about the weak IT skills of many students, suggesting that most of them may not be benefiting sufficiently from their computer literacy courses. This research proposes an enhanced framework based on constructivist principles by using peer-tutoring to increase cost effectiveness and to improve student outcomes. Essential to this proposed model is the training of former course graduates as peer-instructors to achieve high quality learning results. At Instituto de Formação Turistica (IFT), a case study was used to evaluate its effectiveness using a qualitative analysis. In Macao, most students have a Confucian Heritage Cultural (CHC) background and the current findings demonstrate that students share more easily their learning difficulties within their group as their interpersonal relationships improve. It is suggested that since CHC cooperative learning is primarily based on bonds, students involved in this 'relationship-first, learning-second' type shared a larger amount of knowledge and social skills, a dual positive outcome. Moreover, English language is a major barrier for the understanding of the teacher’s message to Chinese students. Meanwhile, the negative Western concept of plagiarism is replaced, under the CHC, as the ‘face giving’ and it is directly based on the relationship intensity to 'help friends'. At last, peer-tutors play a key role in the student increase internal motivation regarding the joy of the learning process. C3 - International Conference Educational Technologies, 2017 DA - 2017/// PY - 2017 SP - 8 LA - en SN - 978-989-8533-71-5 UR - https://eric.ed.gov/?id=ED579300 ER - TY - CONF TI - Neuromarketing As A Tool To Measure And Evaluate The Consumer Behaviour Of Guanding Teahouse's Social Media Advertisement AU - Zeng, Ian Mei AU - Lobo Marques, Joao Alexandre T3 - ICEME '23 AB - This research aims to evaluate a Macau tea brand's social media advertising effectiveness with neuromarketing tools, including physiological monitoring that can measure emotional arousal. This research bridges the gap of social media marketing on Instagram for brands through the neuromarketing method. Data from 40 respondents were collected with iMotions software using neuroscientific tools. This research uses the stimuli of Guanding Teahouse, a newly established Macau tea brand, to evaluate social media advertising effectiveness. The neuroscientific tools – Galvanic Skin Response (GSR) sensors, Eye-tracking, Facial Expression Analysis (FEA) and emotion analysis are used to do the experiment. The data analysis was drawn from one representative respondent to measure the emotions and attention on the Instagram advertisements. Video 1 recorded 9 GSR peaks and Video 2 recorded 12 GSR peaks, both videos attention is ranging between 96-98 indexes. Results show that advertising videos should focus more on the products than the model. Moreover, the participant is more interested in Video 2, but the effectiveness of advertising is showing a lower focus on the brand and the tea. Future studies should consider comparing the video advertising effectiveness of Instagram stories and Instagram reels to prevent disruption of video on the stories ad. C1 - New York, NY, USA C3 - Proceedings of the 2023 14th International Conference on E-business, Management and Economics DA - 2023/12/15/ PY - 2023 DO - 10.1145/3616712.3616787 DP - ACM Digital Library SP - 63 EP - 69 PB - Association for Computing Machinery SN - 9798400708022 UR - https://doi.org/10.1145/3616712.3616787 Y2 - 2024/01/14/00:00:00 ER -