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Being mobility one of the biggest challenge’s cities face today, the COVID-19 pandemic reinforced this challenge and caused a deep structural change in the mobility of the multilayered dynamic framework of Smart Cities. The need to supply decision support systems to city authorities is higher than ever. Planning and managing mobility in Smart Cities has become more challenging, as the amount of information available and the pressure to enforce sustainable and secure policies increases, stakeholders require faster and more targeted actions. Dashboards are powerful tools that can be used in this context to provide, in an understandable manner, multidimensional information otherwise unavailable in classically static visualizations, as these tools offer a reliable foundation for decision support systems. This chapter goes through the required visualization techniques used to produce meaningful dashboards, to both showcase spatial and temporal trends in the context of mobility in Smart Cities following the COVID-19 pandemic. A general framework for analyzing mobility patterns is suggested by gathering methods and techniques recently developed in the literature.
Nuno Alpalhão; Miguel De Castro Neto; Marcel Motta. Visualizing the Impact of COVID-19 in the Mobility Dynamics - A Dashboard Framework for Decision Support in Smart Cities. Data Visualization [Working Title] 2021, 1 .
AMA StyleNuno Alpalhão, Miguel De Castro Neto, Marcel Motta. Visualizing the Impact of COVID-19 in the Mobility Dynamics - A Dashboard Framework for Decision Support in Smart Cities. Data Visualization [Working Title]. 2021; ():1.
Chicago/Turabian StyleNuno Alpalhão; Miguel De Castro Neto; Marcel Motta. 2021. "Visualizing the Impact of COVID-19 in the Mobility Dynamics - A Dashboard Framework for Decision Support in Smart Cities." Data Visualization [Working Title] , no. : 1.
Extreme weather conditions, as one of many effects of climate change, is expected to increase the magnitude and frequency of environmental disasters. In parallel, urban centres are also expected to grow significantly in the next years, making necessary to implement the adequate mechanisms to tackle such threats, more specifically flooding. This project aims to develop a flood prediction system using a combination of Machine Learning classifiers along with GIS techniques to be used as an effective tool for urban management and resilience planning. This approach can establish sensible factors and risk indices for the occurrence of floods at the city level, which could be instrumental for outlining a long-term strategy for Smart Cities. The most performant Machine Learning model was a Random Forest, with a Matthew's Correlation Coefficient of 0.77 and an Accuracy of 0.96. To support and extend the capabilities of the Machine Learning model, a GIS model was developed to find areas with higher likelihood of being flooded under critical weather conditions. Therefore, hot spots were defined for the entire city given the observed flood history. The scores obtained from the Random Forest model and the Hot Spot analysis were then combined to create a flood risk index.
Marcel Motta; Miguel De Castro Neto; Pedro Sarmento. A mixed approach for urban flood prediction using Machine Learning and GIS. International Journal of Disaster Risk Reduction 2021, 56, 102154 .
AMA StyleMarcel Motta, Miguel De Castro Neto, Pedro Sarmento. A mixed approach for urban flood prediction using Machine Learning and GIS. International Journal of Disaster Risk Reduction. 2021; 56 ():102154.
Chicago/Turabian StyleMarcel Motta; Miguel De Castro Neto; Pedro Sarmento. 2021. "A mixed approach for urban flood prediction using Machine Learning and GIS." International Journal of Disaster Risk Reduction 56, no. : 102154.
There are many different reasons that can lead a tourist to decide which destination will be chosen on his/her next trip. Besides knowing what are the attractions that must be visited, it is also common to look for more information regarding the overall safety and well-being conditions of travel destinations. Usually shared by local authorities, this kind of information can also be found in a less structured form through public sources, such as web sites and social platforms. However, there are a couple of challenges to be considered: the predominance of unstructured data; the lack of a common standard to distinguish safe and unsafe places; the distinct period needed to update the collected data. In this study, the proposed model combines official census data with open data, social platforms and other online sources, allowing the definition of a score for touristic spots in Lisbon. The resulting score should be able to quantify the community safety and well-being, as well as to identify threats and opportunities for the local tourism industry. Furthermore, it would not only help tourists in their traveling decisions but also, allow decision-makers to track socioeconomic issues and to support public management through a data-driven approach.
Dineu Assis; Miguel De Castro Neto; Marcel Motta. Community Safety and Well-being in Touristic Spots Using Open Data. International Journal of Modeling and Optimization 2021, 1 -11.
AMA StyleDineu Assis, Miguel De Castro Neto, Marcel Motta. Community Safety and Well-being in Touristic Spots Using Open Data. International Journal of Modeling and Optimization. 2021; ():1-11.
Chicago/Turabian StyleDineu Assis; Miguel De Castro Neto; Marcel Motta. 2021. "Community Safety and Well-being in Touristic Spots Using Open Data." International Journal of Modeling and Optimization , no. : 1-11.
New strategies to improve the quality of urban pedestrian environments are becoming increasingly important in sustainable city planning. This trend has been driven by the advantages that active mobility provides in terms of health, social, and environmental aspects. Our work explores the idea of walkability. This concept refers to the friendliness of the urban environment to pedestrian traffic. We propose a framework based on the multi-criteria decision analysis (MCDA) methodology to rank streets in terms of walkability levels. The city of Lisbon (Portugal) is the location of the streets under examination. Findings confirmed the framework’s replicability and suggested the possibility of this strategy being used as a support tool for designing urban policies.
Jônatas Manzolli; André Oliveira; Miguel Neto. Evaluating Walkability through a Multi-Criteria Decision Analysis Approach: A Lisbon Case Study. Sustainability 2021, 13, 1450 .
AMA StyleJônatas Manzolli, André Oliveira, Miguel Neto. Evaluating Walkability through a Multi-Criteria Decision Analysis Approach: A Lisbon Case Study. Sustainability. 2021; 13 (3):1450.
Chicago/Turabian StyleJônatas Manzolli; André Oliveira; Miguel Neto. 2021. "Evaluating Walkability through a Multi-Criteria Decision Analysis Approach: A Lisbon Case Study." Sustainability 13, no. 3: 1450.
Cities of today face a digital transformation process, leading to a new reality where urban space is taking advantage of information and communication technologies and data science to answer present and future challenges, namely to become more efficient in services and infrastructures management in order to deliver increased quality of life to the people who live, work or visit the city, and addressing at the same time the problems of climate change. This new reality is leveraged by big data produced by the cities Internet of everything (as interconnected systems, sensors and people), information management and data science capabilities, which allow us to measure and describe what happens, predict what can happen, and prescribe what could be the course of actions bringing policy making to a fact-based environment, which had never been possible before. In this work, we will address the opportunities and challenges of this paradigm shift that is leading to the city as a platform reality that supports what we can call the algorithmic city where it is up to us to decide if this will be a dystopic or utopic future for the citizen.
Miguel De Castro Neto; Tiago De Melo Cartaxo. Algorithmic Cities: A Dystopic or Utopic Future? Satellite Formation Flying 2020, 59 -73.
AMA StyleMiguel De Castro Neto, Tiago De Melo Cartaxo. Algorithmic Cities: A Dystopic or Utopic Future? Satellite Formation Flying. 2020; ():59-73.
Chicago/Turabian StyleMiguel De Castro Neto; Tiago De Melo Cartaxo. 2020. "Algorithmic Cities: A Dystopic or Utopic Future?" Satellite Formation Flying , no. : 59-73.
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.
Fátima Trindade Neves; Miguel De Castro Neto; Manuela Aparicio. The impacts of open data initiatives on smart cities: A framework for evaluation and monitoring. Cities 2020, 106, 102860 .
AMA StyleFátima Trindade Neves, Miguel De Castro Neto, Manuela Aparicio. The impacts of open data initiatives on smart cities: A framework for evaluation and monitoring. Cities. 2020; 106 ():102860.
Chicago/Turabian StyleFátima Trindade Neves; Miguel De Castro Neto; Manuela Aparicio. 2020. "The impacts of open data initiatives on smart cities: A framework for evaluation and monitoring." Cities 106, no. : 102860.
In an increasingly competitive market, companies need to look not only at results, but also at how they can improve their performance to achieve them. Knowing the factors that influence business performance allows to identify initiatives that lead to their improvement or mitigate potential risks, ensuring strategic alignment across the organization. This article presents a Business Performance Management (BPM) framework, where the key components that impact business performance are described, which includes Business Intelligence (BI) as an integral part of the technological framework and a Performance Management (PM) cycle as a methodological approach to its implementation for business performance improvement.
Ana Carina Brissos Pereira; Miguel Neto. A Business Performance Management Framework. Advances in Intelligent Systems and Computing 2020, 312 -323.
AMA StyleAna Carina Brissos Pereira, Miguel Neto. A Business Performance Management Framework. Advances in Intelligent Systems and Computing. 2020; ():312-323.
Chicago/Turabian StyleAna Carina Brissos Pereira; Miguel Neto. 2020. "A Business Performance Management Framework." Advances in Intelligent Systems and Computing , no. : 312-323.
Being security assumed as a basic right of citizens in the current model of democratic rule of law, optimal resources allocation altogether with budgetary constraints are a key component. In fact optimal resources allocation and budgetary constraints oblige an increasingly careful strategic management, adapted to demographic reality. The SIM4SECURITY project aims to build a technological solution to support decision making regarding security, based on the development of a GIS model and in the implementation of demographic scenarios. This model will allow policy makers, leaders and forces of command units and services in the planning and rational affectation of resources adjusted to local dynamics in crime prevention and crime fighting. To communicate the SIM4SECURITY results and support decision making, a data visualization and storytelling approach was adopted by creating dashboards containing the various dimensions and perspectives of the information were elaborated and are presented. The obtained outcomes show that dashboards are an important visual tool in the decision-making process by providing meaningful insights regarding security and in the location-allocation of security forces.
Miguel De Castro Neto; Marcel Nascimento; Pedro Sarmento; Sara Ribeiro; Teresa Rodrigues; Marco Painho. A Dashboard for Security Forces Data Visualization and Storytelling. Organizing Smart Buildings and Cities 2019, 47 -62.
AMA StyleMiguel De Castro Neto, Marcel Nascimento, Pedro Sarmento, Sara Ribeiro, Teresa Rodrigues, Marco Painho. A Dashboard for Security Forces Data Visualization and Storytelling. Organizing Smart Buildings and Cities. 2019; ():47-62.
Chicago/Turabian StyleMiguel De Castro Neto; Marcel Nascimento; Pedro Sarmento; Sara Ribeiro; Teresa Rodrigues; Marco Painho. 2019. "A Dashboard for Security Forces Data Visualization and Storytelling." Organizing Smart Buildings and Cities , no. : 47-62.
A smart city can be seen as an urban space that takes advantage of information and communication technologies and data science to answer todays challenges, namely to become more efficient in services and infrastructures management and to deliver increased quality of life to the people who lives, works or visits the city, not forgetting the support to fight climate change. In this framework cities governments are nowadays under pressure and going through a digital transformation process that is translated in the proliferation of “Smart Cities” initiatives around the world as part of the strategic response to the challenges and opportunities of growing urbanization and climate change altogether with the emergence of cities as a space for social and economic development framed by an urgent need for global sustainability. In this work we will propose a concept of urban intelligence and its building blocks that result from the city digital transformation process which will lead to a paradigm shift leading to the city as a platform where urban planning and management for sustainability is supported by urban analytics and real time data.
Miguel De Castro Neto; João Sousa Rego. Urban Intelligence for Sustainability. Organizing Smart Buildings and Cities 2019, 139 -159.
AMA StyleMiguel De Castro Neto, João Sousa Rego. Urban Intelligence for Sustainability. Organizing Smart Buildings and Cities. 2019; ():139-159.
Chicago/Turabian StyleMiguel De Castro Neto; João Sousa Rego. 2019. "Urban Intelligence for Sustainability." Organizing Smart Buildings and Cities , no. : 139-159.
Urban population has grown exponentially in recent years, leading to an increase of CO2 emissions and consequently contributing on a large scale to climate change. Urban trees are fundamental to mitigating CO2 emissions as they incorporate carbon in their biomass. It becomes necessary to understand and measure urban tree carbon storage. In this paper is studied the potential of open data to measure the quantity, density, and value of carbon stored by the seven most represented urban trees in the city of Lisbon. To compute carbon storage, the seven most represented urban tree species were selected from an open database acquired from an open data portal of the city of Lisbon. Through allometric equations, it was possible to compute the trees’ biomass and calculate carbon storage quantity, density, and value. The results showed that the tree species Celtis australis is the species that contributes more to carbon storage. Central parishes of the city of Lisbon present higher-density values of carbon storage when compared with the border parishes despite the first ones presenting low-to-medium values of carbon storage quantity and value. Trees located in streets, present higher values of carbon storage, when compared with trees located in schools and green areas. Finally, the potential usage of this information to build a decision-support dashboard for planning green infrastructures was demonstrated.
Miguel De Castro Neto; Pedro Sarmento. Assessing Lisbon Trees’ Carbon Storage Quantity, Density, and Value Using Open Data and Allometric Equations. Information 2019, 10, 133 .
AMA StyleMiguel De Castro Neto, Pedro Sarmento. Assessing Lisbon Trees’ Carbon Storage Quantity, Density, and Value Using Open Data and Allometric Equations. Information. 2019; 10 (4):133.
Chicago/Turabian StyleMiguel De Castro Neto; Pedro Sarmento. 2019. "Assessing Lisbon Trees’ Carbon Storage Quantity, Density, and Value Using Open Data and Allometric Equations." Information 10, no. 4: 133.
This paper presents the results of a data analysis on Lisbon rates of happiness and wellbeing as a measure of smart cities. To analyse this issue we collected, respectively, objective and subjective data from an open portal data website and a survey of subjective data filed by the citizens, represented at parish level, using a ranking of 1 to 5. The 52 datasets of objective and subjective data supported the production of a dashboard at parish level. The parishes with high performances (Avenidas Novas, Misericórdia, Santo António and S. Vicente) are all in the centre of the city. One of the possible conclusions is that there is a cluster of higher values in the city centre, that could be explain for economic reasons and also because to the proximity to city facilities.
Joana Branco Gomes; Joao Sousa Rego; Miguel Neto. Measuring Happyiness and Wellbeing in Smart Cities - Lisbon Case Study. Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems 2018, 270 -277.
AMA StyleJoana Branco Gomes, Joao Sousa Rego, Miguel Neto. Measuring Happyiness and Wellbeing in Smart Cities - Lisbon Case Study. Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems. 2018; ():270-277.
Chicago/Turabian StyleJoana Branco Gomes; Joao Sousa Rego; Miguel Neto. 2018. "Measuring Happyiness and Wellbeing in Smart Cities - Lisbon Case Study." Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems , no. : 270-277.
Manuel Barrento; Miguel De Castro Neto. European benchmarking in healthcare: Analysis by country with highlight on Portugal. 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) 2017, 1 -4.
AMA StyleManuel Barrento, Miguel De Castro Neto. European benchmarking in healthcare: Analysis by country with highlight on Portugal. 2017 12th Iberian Conference on Information Systems and Technologies (CISTI). 2017; ():1-4.
Chicago/Turabian StyleManuel Barrento; Miguel De Castro Neto. 2017. "European benchmarking in healthcare: Analysis by country with highlight on Portugal." 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) , no. : 1-4.
Miguel De Castro Neto; Joao Sousa Rego; Fatima Trindade Neves; Tiago De Melo Cartaxo. Smart & open cities: Portuguese municipalities open data policies evaluation. 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) 2017, 1 .
AMA StyleMiguel De Castro Neto, Joao Sousa Rego, Fatima Trindade Neves, Tiago De Melo Cartaxo. Smart & open cities: Portuguese municipalities open data policies evaluation. 2017 12th Iberian Conference on Information Systems and Technologies (CISTI). 2017; ():1.
Chicago/Turabian StyleMiguel De Castro Neto; Joao Sousa Rego; Fatima Trindade Neves; Tiago De Melo Cartaxo. 2017. "Smart & open cities: Portuguese municipalities open data policies evaluation." 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) , no. : 1.
Carlos Lopes; R. Egipto; V. Pedroso; P.A. Pinto; Ricardo Braga; M. Neto. Can berry composition be explained by climatic indices? Comparing classical with new indices in the Portuguese Dão region. Acta Horticulturae 2017, 59 -64.
AMA StyleCarlos Lopes, R. Egipto, V. Pedroso, P.A. Pinto, Ricardo Braga, M. Neto. Can berry composition be explained by climatic indices? Comparing classical with new indices in the Portuguese Dão region. Acta Horticulturae. 2017; (1157):59-64.
Chicago/Turabian StyleCarlos Lopes; R. Egipto; V. Pedroso; P.A. Pinto; Ricardo Braga; M. Neto. 2017. "Can berry composition be explained by climatic indices? Comparing classical with new indices in the Portuguese Dão region." Acta Horticulturae , no. 1157: 59-64.
The Knowledge-Intensive Firm is an abstract concept in the domain of Organizational Theory, albeit some of its features are found in contemporary organizations, whose competitive status relies on the capability to access unique information and to apply knowledge to production. At the Knowledge-Intensive Firm, the generation of new knowledge is enabled through two information stages, namely the access to information and the 'socialization' of information among workers. This paper explores a case study conducted at Amorim Cork Composites, in which several patterns regarding information flows in the social network were identified: (i) information is shared through informal and 'democratic' social relations, regardless of hierarchical ranks, (ii) heterophily patterns are predominant regarding information shared at a departmental level, (iii) local clusters play a significant role in the exchange of information linked to routine tasks, (iv) several external players (e.g. universities, clients) are linked through weak ties to the organization and (v) most part of the information with an economic value is obtained inside the organization itself. The findings can be useful to compare with other information studies conducted at an organizational level.
Tiago Pereira; Miguel Neto; Guilherme Victorino. Information and Knowledge-Intensive Firm. Proceedings of the 2017 International Conference on Software and System Process 2017, 44 -50.
AMA StyleTiago Pereira, Miguel Neto, Guilherme Victorino. Information and Knowledge-Intensive Firm. Proceedings of the 2017 International Conference on Software and System Process. 2017; ():44-50.
Chicago/Turabian StyleTiago Pereira; Miguel Neto; Guilherme Victorino. 2017. "Information and Knowledge-Intensive Firm." Proceedings of the 2017 International Conference on Software and System Process , no. : 44-50.
In the strategic information management field, IT value from for instance Enterprise resource planning (ERP) systems are considered to be paramount in the global economy. Recent research on IT business value claims for more cross-country studies as well as within the space of SMEs. Grounded in the resource-based view theory the authors propose a research model to explain ERP value. To empirically test this model, the study addresses a survey to a wide range of 2000 Scandinavia and Iberia firms and their IT and business executives. The model explains 43,9% and 49,1% of the variation in ERP value for Scandinavian and Iberian firms respectively. Results show that whereas for both regions, analytics and collaboration are important drivers for ERP value, ERP use is not significate for Scandinavian SMEs. This research studying ERP value among SMEs add an international dimension to the IS literature. The current paper also presents theoretical and practical implications, and the study's limitations.
Pedro Ruivo; Tiago Oliveira; Björn Johansson; Miguel Neto; Siddhartha Bhattacharyya; Mehdi Khosrow-Pour. The Drivers of ERP Value Among Scandinavian and Iberian SMEs. Handbook of Research on Global Enterprise Operations and Opportunities 2017, 17 -35.
AMA StylePedro Ruivo, Tiago Oliveira, Björn Johansson, Miguel Neto, Siddhartha Bhattacharyya, Mehdi Khosrow-Pour. The Drivers of ERP Value Among Scandinavian and Iberian SMEs. Handbook of Research on Global Enterprise Operations and Opportunities. 2017; ():17-35.
Chicago/Turabian StylePedro Ruivo; Tiago Oliveira; Björn Johansson; Miguel Neto; Siddhartha Bhattacharyya; Mehdi Khosrow-Pour. 2017. "The Drivers of ERP Value Among Scandinavian and Iberian SMEs." Handbook of Research on Global Enterprise Operations and Opportunities , no. : 17-35.
Theoretically grounded on RBV, this study assesses ERP value amongst European SMEs.Large scale survey from 883 SMEs from Denmark, Portugal, Spain and Sweden.Differences and similarities in ERP value across four commercial-packages are examined.Variations in ERP value across Microsoft, Oracle, SAP and SAGE are found in regards to system use, collaboration and analytics capabilities. This study explores the enterprise resource planning (ERP) variations in value on small and medium enterprises (SMEs) across four commercial-packages (Microsoft NAV, SAP All-in-one, ORACLE JDE, and SAGE X3). Grounded on the resource-based view (RBV) theory of the firm, we assess a research model linking three determinants; ERP use, collaboration, and analytics to explain the ERP value in three effects (individual productivity, management control, and customer satisfaction). Using a survey data set of 883 firms across European SMEs we test the theoretical model through structural equation modelling. This study provides empirical evidence on how European SMEs find value from the top four commercial-packaged ERPs. Whereas for Dynamics and ORACLE the most important factor is analytics system capability, for SAP and SAGE it is greater collaboration system capability. Furthermore, for SAP and ORACLE greater ERP use is perceived as an important factor, but not for Dynamics and SAGE. In addition, the study finds that both collaboration and analytics capabilities are the greatest differentiators to ERP value, which is consistent with the RBV. The finding provide guidance to business implementation strategies and to software development. The limitations and future work of the study are noted.
Pedro Ruivo; Tiago Oliveira; Miguel Neto. Using resource-based view theory to assess the value of ERP commercial-packages in SMEs. Computers in Industry 2015, 73, 105 -116.
AMA StylePedro Ruivo, Tiago Oliveira, Miguel Neto. Using resource-based view theory to assess the value of ERP commercial-packages in SMEs. Computers in Industry. 2015; 73 ():105-116.
Chicago/Turabian StylePedro Ruivo; Tiago Oliveira; Miguel Neto. 2015. "Using resource-based view theory to assess the value of ERP commercial-packages in SMEs." Computers in Industry 73, no. : 105-116.
This paper presents a framework for policies development enabling growth of Nearshore in information and communications technologies (ICT) services inside European Community (EC), which are based in Portuguese companies, emphasizing what is needed to explore the huge opportunity to develop exportations, employability and the national economy. In a market of ICTs Outsourcing services forecasted in 2017 to be larger than 1000 Billion Euros, it is necessary that Portugal accelerates developments in areas such as People, Policies, Infrastructures and Education, according to the proposed framework, which supports the growth from the 50th location worldwide and 2nd in Western Europe, regarding attractiveness for providing Outsourcing services, in order to become a preferential destination for the development of a “Nearshore” in EC.
Pedro Ruivo; Jorge Rodrigues; Miguel Neto; Tiago Oliveira; Björn Johansson. Defining a Framework for the Development of ICT Services “Nearshoring” in Portugal. Procedia Computer Science 2015, 64, 140 -145.
AMA StylePedro Ruivo, Jorge Rodrigues, Miguel Neto, Tiago Oliveira, Björn Johansson. Defining a Framework for the Development of ICT Services “Nearshoring” in Portugal. Procedia Computer Science. 2015; 64 ():140-145.
Chicago/Turabian StylePedro Ruivo; Jorge Rodrigues; Miguel Neto; Tiago Oliveira; Björn Johansson. 2015. "Defining a Framework for the Development of ICT Services “Nearshoring” in Portugal." Procedia Computer Science 64, no. : 140-145.
Pedro Ruivo; Tiago Oliveira; Miguel Neto. Examine ERP post-implementation stages of use and value: Empirical evidence from Portuguese SMEs. International Journal of Accounting Information Systems 2014, 15, 166 -184.
AMA StylePedro Ruivo, Tiago Oliveira, Miguel Neto. Examine ERP post-implementation stages of use and value: Empirical evidence from Portuguese SMEs. International Journal of Accounting Information Systems. 2014; 15 (2):166-184.
Chicago/Turabian StylePedro Ruivo; Tiago Oliveira; Miguel Neto. 2014. "Examine ERP post-implementation stages of use and value: Empirical evidence from Portuguese SMEs." International Journal of Accounting Information Systems 15, no. 2: 166-184.
Miguel Neto; L. Mira Da Silva And P. Aguiar Pinto; L. Mira Da Silva; P. Aguiar Pinto. Designing Internet Dynamic Presences in Low Tech Rural Environments: A Case Study. World Congress of Computers in Agriculture and Natural Resources, Proceedings of the 2002 Conference 2013, 697 .
AMA StyleMiguel Neto, L. Mira Da Silva And P. Aguiar Pinto, L. Mira Da Silva, P. Aguiar Pinto. Designing Internet Dynamic Presences in Low Tech Rural Environments: A Case Study. World Congress of Computers in Agriculture and Natural Resources, Proceedings of the 2002 Conference. 2013; ():697.
Chicago/Turabian StyleMiguel Neto; L. Mira Da Silva And P. Aguiar Pinto; L. Mira Da Silva; P. Aguiar Pinto. 2013. "Designing Internet Dynamic Presences in Low Tech Rural Environments: A Case Study." World Congress of Computers in Agriculture and Natural Resources, Proceedings of the 2002 Conference , no. : 697.