Manuela Aparicio is Assistant Professor at Information Management School (NOVA IMS), Universidade Nova de Lisboa, Portugal. She holds a PhD in Information Management from Universidade Nova de Lisboa (UNL).
Information Systems Development, Organizational Aspects and Societal Trends (ISD2023 Proceedings), 2023
Blockchain technology is already being discussed as an emerging trend for the upcoming years. Res... more Blockchain technology is already being discussed as an emerging trend for the upcoming years. Researchers and organizations are beginning to recognize the potential benefits of this technology and are exploring how it can disrupt our world. However, the reality is that there has not been much progress in getting blockchain from a concept to widespread adoption. This study aimed to investigate the factors that influence the adoption of blockchain technology. We proposed a model that incorporated relevant features to blockchain technology adoption, specifically the role of Trust and Security as mediating variables. Data was collected using a questionnaire administered to people working in companies independently of their technology usage. Structural equation modeling using partial least squares (SEM-PLS) was used to analyze the data and construct the model. Results indicated that performance expectancy, social influence, and trust positively influenced people's actual use or intention to adopt blockchain technology. Additionally, environmental concerns had a negative effect on the intention to adopt. These findings suggest that individuals are more likely to adopt blockchain technology when they perceive it as valuable and trustworthy and receive support from their social networks.
Software development is an intensely knowledge-intensive industry that demands collaboration on b... more Software development is an intensely knowledge-intensive industry that demands collaboration on behalf of everyone who participates in the process. Moreover, the successful accomplishment of the process depends on knowledge sharing and acquisition among the stakeholders. For this reason, organizations must understand how the knowledge-sharing process unrolls among employees. Nowadays, geographical distance is unavoidable, so researchers must consider subjective distance. This study provides an analysis of knowledge-sharing behavior within employees in software development roles in virtual teams, namely functional and technical, having subjective distance in mind. A research model based on a literature review was proposed to understand different dimensions of knowledge sharing. Afterward, the research model was empirically tested based on data collected in an organization with expertise in ERP software development through the implementation of a questionnaire. The method used to analyze the data was PLS-SEM. Results suggest that individuals share knowledge mainly to fulfill intrinsic needs; however, organizational culture also plays an essential role in knowledge sharing. The results are fundamental for both academics and practitioners to acknowledge how knowledge sharing occurs and, consequently, help in the decision-making processes regarding Knowledge Management within the companies.
Information Systems Development, Organizational Aspects and Societal Trends (ISD2023 Proceedings), 2023
Blockchain technology is already being discussed as an emerging trend for the upcoming years. Res... more Blockchain technology is already being discussed as an emerging trend for the upcoming years. Researchers and organizations are beginning to recognize the potential benefits of this technology and are exploring how it can disrupt our world. However, the reality is that there has not been much progress in getting blockchain from a concept to widespread adoption. This study aimed to investigate the factors that influence the adoption of blockchain technology. We proposed a model that incorporated relevant features to blockchain technology adoption, specifically the role of Trust and Security as mediating variables. Data was collected using a questionnaire administered to people working in companies independently of their technology usage. Structural equation modeling using partial least squares (SEM-PLS) was used to analyze the data and construct the model. Results indicated that performance expectancy, social influence, and trust positively influenced people's actual use or intention to adopt blockchain technology. Additionally, environmental concerns had a negative effect on the intention to adopt. These findings suggest that individuals are more likely to adopt blockchain technology when they perceive it as valuable and trustworthy and receive support from their social networks.
Software development is an intensely knowledge-intensive industry that demands collaboration on b... more Software development is an intensely knowledge-intensive industry that demands collaboration on behalf of everyone who participates in the process. Moreover, the successful accomplishment of the process depends on knowledge sharing and acquisition among the stakeholders. For this reason, organizations must understand how the knowledge-sharing process unrolls among employees. Nowadays, geographical distance is unavoidable, so researchers must consider subjective distance. This study provides an analysis of knowledge-sharing behavior within employees in software development roles in virtual teams, namely functional and technical, having subjective distance in mind. A research model based on a literature review was proposed to understand different dimensions of knowledge sharing. Afterward, the research model was empirically tested based on data collected in an organization with expertise in ERP software development through the implementation of a questionnaire. The method used to analyze the data was PLS-SEM. Results suggest that individuals share knowledge mainly to fulfill intrinsic needs; however, organizational culture also plays an essential role in knowledge sharing. The results are fundamental for both academics and practitioners to acknowledge how knowledge sharing occurs and, consequently, help in the decision-making processes regarding Knowledge Management within the companies.
SIGDOC '21: The 39th ACM International Conference on Design of CommunicationOctober 2021 Pages 63–69, 2021
Political communication in social media has gained increasing importance in the last years. In th... more Political communication in social media has gained increasing importance in the last years. In this study, we analyze the political parties’ communication on Twier and understand the sentiment of their communication. First by identifying their communication performance regarding the daily number of tweets, favourite tweets, number of retweets per day and per political party. We present a sentiment analysis by the political party using tweets data. In this study, we propose an explanatory model with the main drivers of retweets. To conduct this study, our approach used data analysis and machine learning techniques methods. Results indicate the main determinants that influence future retweets of political posts globally. Here we present a comparison of the communication content between tweets posts and the political parties’ programs available on their institutional websites. We identify the similarities between tweets and formal programs per party and among all parties. Globally contribute to analyze the coherence and effectiveness of the political parties’ communication.
Citizens' mobility brings great challenges to the cities and smart city's initiatives. This study... more Citizens' mobility brings great challenges to the cities and smart city's initiatives. This study main goal is to disclosure the current situation of the metropolitan area of Lisbon regarding smart mobility and multimodal mobility systems. The methodological approach of this study consist of collect data from citizens of the metropolitan area of Lisbon, through a survey. We report here empirical study results on citizen awareness of information systems solutions, and their level of usage in their daily lives. Our study results demonstrated the citizens of the metropolitan area of Lisbon are highly unhappy with the available mobility systems and use mainly the private car as transport mode and the importance of multimodal mobility systems were confirmed.
Different decisions types need differentiation of information presentation; management requires a... more Different decisions types need differentiation of information presentation; management requires adequate tools for the decision-making process. Business value insights are improved with better information visualization, therefore improving decision making. In this study, it presented a theoretical review based on three main areas: management, reporting, and visualization. Upon this theory review, we identify the primary dimension. Those dimensions are used to embody decisions that maybe incorporate in a decision tree. This decision tree may be helpful in the choice of adequate data visualization form managerial dashboards. For future works, we suggest conducting an empirical work that uses this decision tree to understand the impacts on its usage on management context better.
The technological evolution of recent years has made that information systems frequently adapt to... more The technological evolution of recent years has made that information systems frequently adapt to the market realities to fulfill the improvements of the company's organizational processes. In this context, new paradigms, approaches, and concepts were disseminated through the new realities of information systems. This study aims to verify how ERP (Enterprise Resource Planning) has been related to other information systems within its ecosystem. For this purpose, we have reviewed the literature based on 650 publications whose central theme was the ERP. The data were treated through a graphical analysis, inspired by SNA (Social Network Analysis), represented by related ERP concepts. The study results, determine the connection degree between the concepts that emerged with the technological evolution and the ERP, thus representing the ERP interoperability tendencies, over the last years. The study concludes that ERPs have been improving and substantially increasing the conditions of interoperability with other information systems and with new organizational concepts that have emerged through the technological availability. This fact led to a better organizational process's adoption and more organizational performance.
Binge-watching has become one of the most popular ways for people to spend their free time. Binge... more Binge-watching has become one of the most popular ways for people to spend their free time. Binge-watching refers to watching more than two episodes of a television show in a single sitting. This pattern of behavior can be seen in people of a wide range of ages, but it is particularly widespread among people of millennial age and younger. In this study, we propose a model that explains binge-watching engagement by theorizing and testing the association of social influence on perceived usefulness, regret on the continuous intention of binge-watching, and habit on continuous intention and binge-watching engagement. The authors evaluated the model using data collected from 225 respondents. The results supported the proposed hypotheses and confirmed that regret does not neutralize the positiveand strongeffect of perceived usefulness and habit on binge-watching.
n the rapidly evolving landscape of urban development, where smart cities increasingly rely on ar... more n the rapidly evolving landscape of urban development, where smart cities increasingly rely on artificial intelligence (AI) solutions to address complex challenges, using AI to accurately predict real estate prices becomes a multifaceted and crucial task integral to urban planning and economic development. This paper delves into this endeavor, highlighting the transformative impact of specifically chosen contextual open data and recent advances in eXplainable AI (XAI) to improve the accuracy and transparency of real estate price predictions within smart cities. Focusing on Lisbon’s dynamic housing market from 2018 to 2021, we integrate diverse open data sources into an eXtreme Gradient Boosting (XGBoost) machine learning model optimized with the Optuna hyperparameter framework to enhance its predictive precision. Our initial model achieved a Mean Absolute Error (MAE) of EUR 51,733.88, which was significantly reduced by 8.24% upon incorporating open data features. This substantial improvement underscores open data’s potential to boost real estate price predictions. Additionally, we employed SHapley Additive exPlanations (SHAP) to address the transparency of our model. This approach clarifies the influence of each predictor on price estimates and fosters enhanced accountability and trust in AI-driven real estate analytics. The findings of this study emphasize the role of XAI and the value of open data in enhancing the transparency and efficacy of AI-driven urban development, explicitly demonstrating how they contribute to more accurate and insightful real estate analytics, thereby informing and improving policy decisions for the sustainable development of smart cities.
Digital transformation is inevitable in today's business world. Applying digital technologies in ... more Digital transformation is inevitable in today's business world. Applying digital technologies in business processes creates innovative value propositions but causes substantial changes to the organization. The main objective of our research is to understand how technology and change management affect value proposition innovation of organizations. This article introduced a model that explains value proposition innovation in Iranian companies considering three essential factors of technology, change management, and environment (industry pressure and government regulation). We evaluated our model based on the data gathered by 220 organizational leaders from different Iranian organizations, and statistically validated our model. The results showed that technology and change management significantly impact value proposition innovation. Additionally, environment has a substantial effect on change management and technology.
Software development is an intensely knowledge-intensive industry that demands collaboration on b... more Software development is an intensely knowledge-intensive industry that demands collaboration on behalf of everyone who participates in the process. Moreover, the successful accomplishment of the process depends on knowledge sharing and acquisition among the stakeholders. For this reason, organizations must understand how the knowledge-sharing process unrolls among employees. Nowadays, geographical distance is unavoidable, so researchers must consider subjective distance. This study provides an analysis of knowledge-sharing behavior within employees in software development roles in virtual teams, namely functional and technical, having subjective distance in mind. A research model based on a literature review was proposed to understand different dimensions of knowledge sharing. Afterward, the research model was empirically tested based on data collected in an organization with expertise in ERP software development through the implementation of a questionnaire. The method used to analyze the data was PLS-SEM. Results suggest that individuals share knowledge mainly to fulfill intrinsic needs; however, organizational culture also plays an essential role in knowledge sharing. The results are fundamental for both academics and practitioners to acknowledge how knowledge sharing occurs and, consequently, help in the decision-making processes regarding Knowledge Management within the companies.
Nowadays, companies know that keeping customers engaged is essential to increase their loyalty. T... more Nowadays, companies know that keeping customers engaged is essential to increase their loyalty. The main goal of this study is to understand the impact of gamification and reputation on the intention of repurchase in e-commerce. Gamification corresponds to the regular usage of game elements in non-game context. This study purposes a theoretical model indicating the determinants of repurchase intention. Here we present an empirical study (survey collected data) within a real e-commerce usage context. Data were analysed with SEM/PLS method. Results indicate a positive impact of trust on the intention to use of e-commerce, on buy frequency and on repurchase intention. Ease of use, usefulness of e-commerce platforms affect intension to use. We verified the impact of reputation on trust, as well as the impact of gamification on the effective use of the e-commerce platforms. Results indicate that gamified e-commerce websites determine usage and use positively influences repurchase intention in e-commerce context.
Massive open online courses (MOOCs), contribute significantly to individual empowerment because t... more Massive open online courses (MOOCs), contribute significantly to individual empowerment because they can help people learn about a wide range of topics. To realize the full potential of MOOCs, we need to understand their factors of success, here defined as the use, user satisfaction, along the individual and organizational performance resulting from the user involvement. We propose a theoretical framework to identify the determinants of successful MOOCs, and empirically measure these factors in a real MOOC context. We put forward the role of gamification and suggest that, together with information system (IS) theory, gamification proved to play a crucial role in the success of MOOCs.
E-learning can play an important role in the solution to educate a large quota of the population ... more E-learning can play an important role in the solution to educate a large quota of the population in significant countries. Studies point out that cultural characteristics can influence e-learners’ performance. Our main goal is to understand the e-learning success drivers in Brazil. Our research proposes a model that analyzes students' long-term orientation role in the Brazilian e-learning context. We collected 297 answers from a survey of higher education students in nine regions. Data were analyzed through a quantitative method. Results indicate that information and collaboration quality, and e-learner satisfaction explain e-learning systems usage. Our model indicates that students' long-term orientation influences the positive relationship between e-learning systems' use and the perceived net benefits. We also found that system and information quality, and e-learning systems’ use are determinants of e-learning user satisfaction. Collaboration quality and information quality are determinants of e-learning systems usage. E-learning usage and user satisfaction explain overall e-learning net benefits, and long-term orientation has a moderating effect between e-learning use and net benefits.
As the world's population is becoming progressively urban-dwelling, sustainable development chall... more As the world's population is becoming progressively urban-dwelling, sustainable development challenges are increasingly concentrated in cities, placing tremendous pressure on society to build more sustainable, innovative, and equitable urban environments. Consequently, today's cities require integrated policies and new innovative ways to manage and improve the complexity of urban living conditions. The growing volume and variety of data produced in the urban ecosystem are crucial for obtaining the city's insights and building knowledge-based solutions for a smarter and more sustainable urban development. In this paper, we look at the open data impacts on these complex ecosystems and its crucial enabler role for the generation and analysis of contextual and actionable data aimed at understanding, managing, and planning the city. Despite the importance of open data, the literature is scarce in systematic and structured research that evaluates its impacts on the smart city context. This paper explores this gap by proposing a theoretical framework, composed of a model and an experiment grounded on the use of Randomized Controlled Trials (RCT), designed to give a more detailed view concerning the context and characteristics of the impacts of open data initiatives on smart cities' sustainable development. This work will contribute to open data management and smart city development, providing boundaries and theoretical insights for further research and experimentation on how open data can be leveraged to develop better smart cities.
Management learning poses some challenges, firstly students should identify all administration ar... more Management learning poses some challenges, firstly students should identify all administration areas and secondly , they should understand the big picture of an organizational context, by integrating all the studied areas. Enterprise Resource Planning (ERP) systems are the backbone of any organization, in terms of information management systems integration. The usage of these systems is important in terms of management in any organization , and ERP's can facilitate the management learning process. The main objectives of this study are to understand if the ERP usage supports management learning, and to identify the main determinants of individual performance. This study presents a success model of ERP usage for learning management context. The model was validated empirically through a survey answered by university management students. The results show that system quality, process quality, and training play a determinant role in the students' performance.
During the last 15 years, several studies on technology acceptance have been pursued, and several... more During the last 15 years, several studies on technology acceptance have been pursued, and several new models have been proposed. This paper presents a theoretical background on individual acceptance of computer-assisted audit tools (CAATs) in the context of statutory auditors of a European country. The adoption of technologies in auditing is considered an important factor for efficiency increasing and effectiveness of auditing work. This study identifies the adoption determinants of CAATs; and develops a CAATs, adoption model. Quantitative research was carried out and operationalized by a survey to statutory auditors. Findings indicate that the perceived usefulness of CAATs, the effort expectancy, the facilitating conditions, and the number of auditors are the main drivers of the adoption and use of CAATs. This research presents significant contributions impacting the various stakeholders: statutory auditors, statutory auditors firms, institutes of statutory auditors, and academy.
Research in Transportation Business & Management, 2019
This study aims to identify the main factors leading to charter flight departure delay through da... more This study aims to identify the main factors leading to charter flight departure delay through data mining. The data sample analysed consists of 5484 flights operated by a European airline between 2014 and 2017. The tuned dataset of 33 features was used for modelling departure delay (e.g., if the flight delayed >15 min). The results proved the value of the proposed approach by an area under the receiver operating characteristic curve of 0.831 and supported knowledge extraction through the data-based sensitivity analysis. The features related to previous flight delay information were considered as being the most influential toward current flight being delayed or not, which is consistent with the propagating effect of flight delays. However, it is not the reason for the previous delay nor the delay duration that accounted for the most relevance. Instead, a computed feature indicating if there were two or more registered reasons accounted for 33% of relevance. The contributions include also using a broader data mining approach supported by an extensive data understanding and preparation stage using both proprietary and open access data sources to build a comprehensive dataset.
Massive open online courses (MOOCs), contribute significantly to individual empowerment because t... more Massive open online courses (MOOCs), contribute significantly to individual empowerment because they can help people learn about a wide range of topics. To realize the full potential of MOOCs, we need to understand their factors of success, here defined as the use, user satisfaction, along the individual and organizational performance resulting from the user involvement. We propose a theoretical framework to identify the determinants of successful MOOCs, and empirically measure these factors in a real MOOC context. We put forward the role of gamification and suggest that, together with information system (IS) theory, gamification proved to play a crucial role in the success of MOOCs.
Massive open online courses (MOOCs), contribute significantly to individual empowerment because t... more Massive open online courses (MOOCs), contribute significantly to individual empowerment because they can help people learn about a wide range of topics. To realize the full potential of MOOCs, we need to understand their factors of success, here defined as the use, user satisfaction, along the individual and organizational performance resulting from the user involvement. We propose a theoretical framework to identify the determinants of successful MOOCs, and empirically measure these factors in a real MOOC context. We put forward the role of gamification and suggest that, together with information system (IS) theory, gamification proved to play a crucial role in the success of MOOCs.
Gamification has attracted the attention of researchers from different areas such as marketing, h... more Gamification has attracted the attention of researchers from different areas such as marketing, health, sports, and education. Gamification integrates elements of game design in non-game context, with the purpose of engaging a person in a particular activity. This integration should follow a formal and precise design process. However, these gamification design processes for specific contexts are not still defined. This article presents a proposal for a gamification framework for online distance courses to learn how to program. This framework is composed of the following dimensions: target audience, general goals, learning outcomes, topics, contents, gamification, cognitive absorption, flow, and personality. This article also presents a review of the existing literature on these dimensions. The theoretical framework is a contribution to guide teachers in the gamification of online programming learning courses.
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communication on Twier and understand the sentiment of their communication. First by identifying their communication performance
regarding the daily number of tweets, favourite tweets, number of retweets per day and per political party. We present a sentiment
analysis by the political party using tweets data. In this study, we propose an explanatory model with the main drivers of retweets. To
conduct this study, our approach used data analysis and machine learning techniques methods. Results indicate the main determinants
that influence future retweets of political posts globally. Here we present a comparison of the communication content between tweets
posts and the political parties’ programs available on their institutional websites. We identify the similarities between tweets and formal
programs per party and among all parties. Globally contribute to analyze the coherence and effectiveness of the political parties’
communication.
embody decisions that maybe incorporate in a decision tree. This decision tree may be helpful in the choice of adequate data visualization form managerial dashboards. For future works, we suggest conducting an empirical work that uses this decision tree to understand the impacts on its usage on management context better.