IoT big data value map : how to generate value from IoT data

Huge sources of business value are emerging due to big data generated by the Internet of Things (IoT) technologies paired with Machine Learning (ML) and Data Mining (DM) techniques' ability to harness and extract hidden knowledge from data and consequently learning and improving spontaneously. This paper reviews different examples of analyzing big data generated through IoT in previous studies and in various domains; then claims their business Value Proposition Map deploying Value Proposition Canvas as a novel conceptual tool. As a result, the proposed unprecedented framework of this paper entitled "IoT Big Data Value Map" shows a roadmap from raw data to real-world business value creation, blossomed out of a kind of three-pillar structure: IoT, Data Mining, and Value Proposition Map. The result of this study paves the way for prototyping business models in this field based on value invention from huge data analysis generated by IoT devices in different industries. Furthermore, researchers may complete this map by associating proposed framework with potential customers' profile and their expectations

Evaluating information systems for collaborative wellness

We are refining a system for studying Collaborative Wellness (CW) developed by us for use in evaluating knowledge creation and information systems. CW is founded on reaching agreement between stakeholders on ways to address issues arising in complex environments and create the necessary knowledge to address these issues. Such a model is needed in the increasingly complex and dynamic environment now found in business and society. Creating, managing and disseminating knowledge is crucial to enabling organisations to adapt to change in their dynamic environments. Despite this, we found gaps in organisational knowledge creation theory for supporting fine grained studies of knowledge creation. The Collaborative Wellness System (CWS) is intended to address this situation. CWS treats collaborations of knowledge creators as social information systems. CWS has an adaptable framework of measures that may be deployed to suit the circumstances of a collaboration. The measures of CW record assessments of the usefulness of created knowledge relative to agreed stakeholder expectations. The system allows collaborative experiences to be shared and compared. CWS informs the development, application, tracking and refinement of improvements to existing information systems. The CWS presented in this paper has been validated in four case studies involving business and government agencies

Changing and pivoting the business model in software startups

In a company, its business strategy and business model undergo changes throughout its life. These changes can be induced or forced externally or they can result from a deliberate strategy to improve the business performance and to achieve success. Certain changes can lead to a major change in the business model of the company (i.e., a pivot). Such change or innovation in the business model can occur in various of its dimensions. According to Osterwalder and Pigneur, there are four epicenters of change and innovation to be taken into consideration. In this manuscript, fifteen Portuguese software startups were studied using essentially semi-structured interviews to gather the information. The data was processed with a software application for qualitative data analysis. The main results are related to a dynamic process of evolution and change of the business model in software startups. In particular, we have identified that the changes in the business elements that support the production of the value proposition (left-hand side of the Business Model Canvas) affect the elements that explain the strategy of delivering the value proposition to customers (right-hand side of the Business Model Canvas).This work was supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT Fundação para a Ciência e a Tecnologia within the Project Scope: UID/CEC/00319/2013

Capability driven development: an approach to designing digital enterprises

The final publication is available at Springer via http://dx.doi.org/10.1007/s12599-014-0362-0[EN] The need for organizations to operate in changing environments is addressed by proposing an approach that integrates organizational development with information system (IS) development taking into account changes in the application context of the solution. This is referred to as Capability Driven Development (CDD). A meta-model representing business and IS designs consisting of goals, key performance indicators, capabilities, context and capability delivery patterns, is being proposed. The use of the meta-model is validated in three industrial case studies as part of an ongoing collaboration project, whereas one case is presented in the paper. Issues related to the use of the CDD approach, namely, CDD methodology and tool support are also discussed.This work has been partially supported by the EU-FP7 funded project no: 611351 CaaS - Capability as a Service in Digital Enterprises.Berzisa, S.; Bravos, G.; Cardona Gonzalez, T.; Czubayko, U.; España, S.; Grabis, J.; Henkel, M.... (2015). Capability driven development: an approach to designing digital enterprises. Business and Information Systems Engineering. 57(1):15-25. https://doi.org/10.1007/s12599-014-0362-0S1525571ArchiMate (2013) An enterprise modeling language from the Open Group. http://www.opengroup.org/archimate/ . Accessed 3 Dec 2014Asadi M, Ramsin R (2008) MDA-based methodologies: an analytical survey. In: Proceedings Model driven architecture – foundations and applications (ECMDA-FA 2008), LNCS 5095, pp 419–431Barney JB (1991) Firm resources and sustained competitive advantage. J Manag 17(1):99–120Bērziša S, Bravos G, Gonzalez Cardona T, Czubayko U, España S, Grabis J, Henke lM, Jokste L, Kampars J, Koc H, Kuhr J, Llorca C, Loucopoulos P, Juanes Pascua lR, Sandkuh lK, Simic H, Stirna J, Zdravkovic J (2014) Deliverable 1.4: Requirements specification for CDD, CaaS – capability as a service for digital enterprises. FP7 project no 611351, Riga Technical University, Latvia. Submitted for reviewBubenko JA Jr, Persson A, Stirna J (2001) User guide of the knowledge management approach using enterprise knowledge patterns. Deliverable D3, IST programme project hypermedia and pattern based knowledge management for smart organisations. project no. IST-2000-28401, Royal Institute of Technology, SwedenBriand LC, Yue T, Labiche Y (2011) A systematic review of transformation approaches between user requirements and analysis models. Requir Eng 16:75–99De Kinderen S, Gordijn J, Akkermans H (2009) Reasoning about customer needs in multi-supplier ICT service bundles using decision models. In: Proceedings 11th international conference on enterprise information systems (ICEIS 2009), pp 131–136Deloitte (2009) Cloud computing: forecasting change. Deloitte Consulting, New York. http://public.deloitte.no/dokumenter/2_Cloud_Computing%5B1%5D.pdf . Accessed 3 Dec 2014Dey A (2001) Understanding and using context. Pers Ubiquitous Comput 5(1):4–7Gamma E, Helm R, Johnson R, Vlissides J (1995) Design patterns: elements of reusable object-oriented software architecture. Addison-Wesley, BostonGomes D, Gonçalves JM, Santos R, Aguiar R (2010) XMPP based context management architecture. In: Proceedings GLOBECOM workshop, IEEE, pp 1372–1377González A, España S, Ruiz M, Pastor Ó (2011) Systematic derivation of class diagrams from communication-oriented business process models. In: 12th working conference on business process modeling, development, and support (BPMDS’11). Springer LNBIP 81, pp 246–260Henkel M, Stirna J (2010) Pondering on the key functionality of model driven development tools: the case of mendix. In: Forbrig P, Günther H (eds) Proceedings business informatics research (BIR 2010), Springer LNBIP 64, pp 146–160Hervas R, Bravo J, Fontecha J (2010) A context model based on ontological languages – a proposal for information visualisation. J Univers Comput Sci 16(12):1539–1555Jarke M, Loucopoulos P, Lyytinen K, Mylopoulos J, Robinson W (2011) The brave new world of design requirements. Information Syst 36(7):992–1008Kaplan RS, Norton DP (2004) Strategy maps: converting intangible assets into tangible outcomes. Harvard Business School Press, BostonKleppe A, Warmer J, Bast W (2013) MDA explained. Addison-Wesley, BostonLoniewski G, Insfran E, Abrahao L (2010) A systematic review of the use of requirements engineering techniques in model-driven development. In: Proceedings model driven engineering languages and systems (MODELS 2010), Part II, LNCS 6395, pp 213–227Mohagheghi P, Dehlen V (2008) Where is the proof? - a review of experiences from applying MDE in industry. In: Proceedings model driven architecture – foundations and applications (ECMDA-FA 2008). LNCS 5095. Springer, Heidelberg, pp 432–443Nilsson AG, Tolis C, Nellborn C (eds) (1999) Perspectives on business modelling: understanding and changing organisations. Springer, HeidelbergOASIS (2011) Reference architecture foundation for service oriented architecture version 1.0, committee specification draft 03/public review draft 02 06 July 2011. http://docs.oasis-open.org/soa-rm/soa-ra/v1.0/soa-ra.pdf . Accessed 3 Dec 2014OMG (2011a) UML superstructure. http://www.omg.org/spec/UML/2.4.1/ . Accessed 3 Dec 2014OMG (2011b) Business process model and notation. http://www.omg.org/spec/BPMN/2.0/ . Accessed 3 Dec 2014Osterwalder A, Pigneur Y (2003) Modeling value propositions in e-business. Proc 5th international conference on electronic commerce (ICEC 2003). ACM Conference Proceedings Series 50Papazoglou MP, Yang J (2002) Design methodology for web services and business processes. In: Proceedings 3rd international workshop on technologies for e-services (TES 03). LNCS 2444. Springer, Heidelberg, pp 54–64Pastor O, Giachetti G (2010) Linking goal-oriented requirements and model-driven development. In: Intentional perspectives on information systems engineering. Springer, Heidelberg, pp 257–276Porter ME (1985) Competitive advantage: creating and sustaining superior performance. Free Press, New YorkRuiz M, Costal D, España S, Franch X, Pastor Ó (2014) Integrating the goal and business process perspectives in information system analysis. In: 26th International Conference on Advanced Information Systems Engineering (CAiSE 2014). LNCS 8484. Springer, Heidelberg, pp 332–346Sheng Q, Yu J, Dustar S (eds) (2010) Enabling context-aware web services: methods, architectures, and technologies. Chapman & Hall/CRC, Boca RatonSmanchat S, Ling S, Indrawan M (2008) A survey on context-aware workflow adaptations. In: Proceedings 6th international conference on advances in mobile computing and multimedia (MoMM 2008), New York, pp 414–417Stirna J, Grabis J, Henkel M, Zdravkovic J (2012) Capability driven development – an approach to support evolving organizations. In: The practice of enterprise modeling (PoEM 2012). LNBIP 134. Springer, Heidelberg, pp 117–131Vale S, Hammoudi S (2009) COMODE: a framework for the development of context-aware applications in the context of MDE. In: Proceedings 4th international conference on internet and web applications and services (ICIW 2009). 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Mobile services and applications: towards a balanced adoption model

This paper synthesizes prior research to develop a novel model for the study of the adoption of mobile business services and applications incorporating a demand and supply perspective. The model complements and extends existing models while also leveraging data from industry reports; in particular, it focuses on the interrelationships between participants in the mobile services value chain and the impact of these interrelationships on the adoption of new services in a competitive and technology-saturated service market. There has been to date limited research reported that has considered the dynamics of the interrelationships between customers and (layers of) multiple service providers as a factor in the adoption and acceptance process; the proposed model addresses this gap and advocates the use of a combination of design science and service science methodologies. It is concluded that not mobility per se but the way mobility is used to create value plays a significant role as an adoption driver, and that the quality of the service and its relevance to personal or business lifestyle are the most important decision making factors. It is also asserted that while innovative mobile services (i.e., services that are not already offered using a different technology) may be compelling if they meet lifestyle needs, mobile services replacing or complementing existing ones will be favored by customers only if their quality is exceptional and motivates ‘switching’ to the mobile service

¿Tienen propuesta de valor las facultades y programas de Ingeniería en Colombia?

RESUMEN: La Propuesta de valor, también se le conoce como Oferta de valor diferenciada. Corresponde a una “mezcla única” o paquete de productos o servicios que una organización ofrece a sus clientes o grupos sociales objetivo. En ese contexto, la ponencia busca probar la debilidad o inexistencia de una clara propuesta de valor en las Facultades y programas de ingeniería en el país que logre diferenciarlas y por consiguiente dar claras señales a los bachilleres, empresas o entidades gubernamentales sobre su vocación, sus fortalezas o sus áreas de excelencia. A partir de una muestra de formulaciones estratégicas de facultades y programas se intenta mostrar una gran indiferenciación, que pone a prueba las reales estrategias institucionales y educativas. Finalmente, se hacen algunas apuestas metodológicas para formular la propuesta de valor en estas unidades académicas.ABSTRACT: Value Proposition also is known as Differentiated Value Proposition. It corresponds to a "unique mixture" or package of products or services that an organization provides to its customers or target social groups. In this context, this paper seeks to prove the weakness or absence of a clear value proposition in Colleges and engineering programs in the country that allows differentiate them and therefore give clear signals to the graduates, companies or government entities about their vocation, their strengths or areas of excellence. From a set sample of strategic formulations of faculties and programs, is intended to show a great lack of differentiation, that tests the real institutional and educational strategies. Finally, some methodological bets are made to formulate the value proposition in these academic units

Construção de Linguagens Específicas de Domínio e a sua Integração com IDEs

Low-code platforms are presented as model-based software development solutions. In this sense, they could be described as applications of the Model-driven Engineering (MDE) paradigm. Despite the apparent success of these development platforms, they do not appear to adhere to standards and are frequently closed-source solutions. These characteristics may cause problems in the maintenance and evolution of solutions developed on these platforms in the future. One of these issues is the difficulty in migrating solutions to other platforms, implying that the client/user is dependent on the platform. The goal of the study is to externalize low-code platform modeling or any DSL to more general-purpose integrated development environments (IDE) like Visual Studio Code or Eclipse. As a result, users are able to use DSLs to model their applications in the IDE and integrate them with more general-purpose programming languages. This dissertation starts by providing an overview of the current state of the use of domainspecific language in general-purpose IDE environments. Furthermore, several designs were developed to find the best solution that achieves the goal. The designs are then compared, and the best one is selected to be implemented. The solution developed still has quite some future work to be done. It lacks many of the features found in a full-fledged IDE for a general-purpose language, like Visual Studio Code supports Javascript. Nonetheless, it may be quite useful when deploying a DSL to a generalpurpose IDE.As plataformas low-code são apresentadas como soluções de desenvolvimento de software baseadas em modelos. Nesse sentido, podem ser descritas como aplicações do paradigma Model-driven Engineering (MDE). Apesar do aparente sucesso dessas plataformas de desenvolvimento, não parecem aderir aos padrões e frequentemente são soluções de código fechado. Essas características podem causar problemas na manutenção e evolução das soluções desenvolvidas nessas plataformas no futuro. Um desses problemas é a dificuldade em migrar soluções para outras plataformas, implicando que o cliente seja dependente da plataforma. O objetivo do estudo é externalizar a modelagem de plataforma low-code ou de uma linguagens específica de domínio (DSL) para ambientes de desenvolvimento integrado (IDE) de propósito geral, como Visual Studio Code ou Eclipse. Como resultado, os usuários poderão usar DSLs para modelar seus aplicativos no IDE e integrá-los com linguagens de programação mais gerais. Esta dissertação começa fornecendo uma visão geral do estado atual do uso de DSL em ambientes IDE de uso geral. Além disso, vários designs foram desenvolvidos para encontrar a melhor solução que atinja o objetivo. Os designs são então comparados e o melhor é selecionado para ser implementado. A solução desenvolvida ainda tem bastante trabalho a ser feito. Faltam muitas das funcionalidades encontrados em um IDE para uma linguagem de uso geral, tal com o Visual Studio Code tem suporte para Javascript. No entanto, pode ser bastante útil ao implantar uma DSL num IDE de uso geral

Development of an Ontology of Tourist Attractions for Recommending Points of Interest in a Group Recommender System for Tourism

In recent years, the tourism industry has witnessed substantial growth, thanks to the pro liferation of digital technology and online platforms. Tourists now have greater access to information and the ability to make informed travel decisions. However, the abundance of available information often leaves tourists overwhelmed when selecting points of inter est (POI) that align with their preferences. Recommender Systems (RS) have emerged as a solution, personalising recommendations based on tourist behaviour, social networks, and contextual factors. To enhance RS efficacy, researchers have begun exploring the integration of psychological factors, such as personality traits. Yet, to meet the demands of modern tourists, a robust knowledge base, such as a tourist attractions ontology, is essential for seamless and rapid matching of tourist characteristics and preferences with available POI. With that in mind, this project aims to enhance a Group Recommender System (GRS) prototype, GrouPlanner, by creating a robust tourist attractions ontology. This ontology will facilitate rapid and accurate matching of points of interest with tourists’ character istics, including personality, preferences, and demographic data, ultimately improving POI recommendations. First, there needs to be an understanding of the personality of tourists and how it influences their choices when it comes to picking the best point of interest based on their personality. With that knowledge acquired, it is time to choose a way to represent this knowledge in the form of an ontology. In this project, the Protégé ontology editor was used to design the ontology and the rela tionships between the tourists’ personality and the points of interest. After designing the ontology, it had to be converted to a database so the Grouplanner system could access it. So, to do that, a solution was designed to integrate the designed ontology in a triple store data base, in this case, Apache Fuseki. With the database implemented, several tests were made to verify if the database would give the recommended points of interests based on the tourists’ preferences. This tests were later analysed.Nos anos mais recentes, a indústria do turismo presenciou um crescimento substancial dev ido à tecnologia digital e plataformas online. Cada vez mais, os turistas têm acesso a uma abundância de informação que influencia a habilidade de tomar decisões sobre viajar. No entanto, esta informação pode complicar a seleção dos pontos de interesse que alinhem com as preferências dos turistas. Para combater isso, sistemas de recomendação (SR) emergi ram como uma solução, personalizando as recomendações com base no comportamento do turista, redes socias e outros fatores. Para aumentar a eficácia destes sistemas, os investi gadores começaram a explorar a possibilidade de integração com fatores psicológicos, como traços de personalidade. Apesar disso, para cumprir as exigências dos turistas modernos, uma base de conhecimento robusta, como uma ontologia de atrações turísticas, é essencial para, de forma eficaz e eficiente, corresponder as características dos turistas com os pontos de interesse disponíveis. Com isso em mente, este projeto tem como objetivo melhorar um protótipo de um sistema de recomendação (GrouPlanner), criando uma ontologia robusta de atrações turísticas. Essa ontologia facilitará a correspondência rápida e precisa de pontos de interesse com as car acterísticas dos turistas, incluindo a sua personalidade e as suas preferências, melhorando assim as recomendações de pontos de interesse. Em primeiro lugar, é necessário compreender a personalidade dos turistas e como ela influ encia as suas escolhas ao selecionar o melhor ponto de interesse com base na sua person alidade. Com esse ponto adquirido, é necessário escolher uma maneira de representar esse conhecimento na forma de uma ontologia. Neste projeto, o editor de ontologias Protégé foi utilizado para projetar a ontologia e as relações entre a personalidade dos turistas e os pontos de interesse. Após a construção da ontologia, foi necessário convertê-la numa base de dados para que o sistema Grouplanner pudesse ter acesso. Para isso, foi desenhada uma solução para integrar a ontologia projetada numa base de dados "triple store", neste caso, o Apache Fuseki. Com a base de dados implementada, foram realizados vários testes para verificar se esta forneceria os pontos de interesse recomendados com base nas preferências dos turistas. Esses testes foram depois analisados