Qualitative indicators for smart city business models: The case of mobile services and applications

Walravens, Nils

doi:10.1016/j.telpol.2014.12.011

Cited by 87 publications

(46 citation statements)

References 24 publications

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“…The methodology proposed in this research paper, the Business Model Evaluation Tool for Smart Cities, maintains the premises of simplicity and being based on the most used method. Being based in a widely adopted framework is an advantage related to the other existing method for evaluating business models in smart cities [35] because all the users of the Business Model Canvas will get familiar with this method quickly and easily. The Evaluation Tool also has a couple of important features in common with the existing method: both are based on qualitative indicators and take into account intangible factors that are key to evaluate smart cities' performance.…”

Section: Discussionmentioning

confidence: 99%

“…A paper describing a framework specifically designed to analyze business models in smart cities can be found in the literature; it uses the concepts of control and public value in order to take into account the intangible factors of the smart cities [7,111]. The same author has also developed a method to evaluate business models in smart cities [35].…”

Section: Application Of Business Models Analysis To Smart Citiesmentioning

confidence: 99%

“…An evaluation method for business models in smart cities can be found in the literature [35]. It is based on a framework [36][37][38] which allows a thorough analysis of business models in the smart city environment.…”

Section: Introductionmentioning

confidence: 99%

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The Business Model Evaluation Tool for Smart Cities: Application to SmartSantander Use Cases

2017

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Abstract:New technologies open up the door to multiple business models applied to public services in smart cities. However, there is not a commonly adopted methodology for evaluating business models in smart cities that can help both practitioners and researchers to choose the best option. This paper addresses this gap introducing the Business Model Evaluation Tool for Smart Cities. This methodology is a simple, organized, flexible and the transparent system that facilitates the work of the evaluators of potential business models. It is useful to compare two or more business models and take strategic decisions promptly. The method is part of a previous process of content analysis and it is based on the widely utilized Business Model Canvas. The evaluation method has been assessed by 11 experts and, subsequently it has been validated applying it to the case studies of Santander's waste management and street lighting systems, which take advantage of innovative technologies commonly used in smart cities.

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Section: Discussionmentioning

confidence: 99%

Section: Application Of Business Models Analysis To Smart Citiesmentioning

confidence: 99%

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The Business Model Evaluation Tool for Smart Cities: Application to SmartSantander Use Cases

2017

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“…A single template or one-size-fits-all set of solutions is unlikely to be achievable. Acknowledging this, a theoretical framework for analysing business models through the use of qualitative indicators is developed in [201]. This can allow administrators to avoid potential pitfalls and shape decisions to fit a particular context.…”

Section: The Replicability Challengementioning

confidence: 99%

Smart energy systems for sustainable smart cities: Current developments, trends and future directions

et al. 2019

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Within the context of the Smart City, the need for intelligent approaches to manage and coordinate the diverse range of supply and conversion technologies and demand applications has been well established. The wide-scale proliferation of sensors coupled with the implementation of embedded computational intelligence algorithms can help to tackle many of the technical challenges associated with this energy systems integration problem. Nonetheless, barriers still exist, as suitable methods are needed to handle complex networks of actors, often with competing objectives, while determining design and operational decisions for systems across a wide spectrum of features and time-scales. This review looks at the current developments in the smart energy sector, focussing on techniques in the main application areas along with relevant implemented examples, while highlighting some of the key challenges currently faced and outlining future pathways for the sector. A detailed overview of a framework developed for the EU H2020 funded Sharing Cities project is also provided to illustrate the nature of the design stages encountered and control hierarchies required. The study aims to summarise the current state of computational intelligence in the field of smart energy management, providing insight into the ways in which current barriers can be overcome.

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“…Citizens are political agents who are more easily and actively involved in policy formulation and other agenda setting in city governance [5]. City operation, system and infrastructure will create more information, rise up the level of knowledge, strengthen creativity and collaborative innovation through direct interaction between public bodies, private actors and citizens [11], [12]. Hence, creating digital urban environment can potentially expand the scope of citizens engagement and bring up a new model of participation with affordable costs.…”

Section: Introductionmentioning

confidence: 99%

Exploring Digital Legislation Concepts and Practices: Inspiration for Indonesia City Government

Pamungkas¹,

Yusuf²

2019

Proceedings of the International Conference of Democratisation in Southeast Asia (ICDeSA 2019)

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Both in global and local context, cities have become more important politically, economically and socially. With rapid growth of information and communication technology (ICT) over the last decade, human relations have revolutionized, creating new possibilities of encounter and connectivity, as well as the new way for strengthening cities government and citizen relations. The cities government have started to use ICT to foster citizen engagement with broader and deeper contributions in political decision-making process for achieving openness and transparency. Innovative digital and mobile technology facilitate solutions for government to respond demand participation including informing, consulting and engaging citizens during legislation cycle process. However, the development of e-participation in the digital city context still have primary challenge and requires strong vision and commitments from all of the city stakeholders for legislation making process more digitally and participative. This paper tries to elaborates a literature study of conceptual publications on the subject of eParticipation in term of legislation process with the time frame of 2013-2018. Its objectives are to track recent theoretical and practical development in the field, to reveal constraints and limitations the concepts, and to offer some suggestions for city government in Indonesia for developing digital legislation implementation strategy.

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Qualitative indicators for smart city business models: The case of mobile services and applications

Cited by 87 publications

References 24 publications

The Business Model Evaluation Tool for Smart Cities: Application to SmartSantander Use Cases

The Business Model Evaluation Tool for Smart Cities: Application to SmartSantander Use Cases

Smart energy systems for sustainable smart cities: Current developments, trends and future directions

Exploring Digital Legislation Concepts and Practices: Inspiration for Indonesia City Government

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