Smart Cities in Latin America

Calderón, Marta; López, Gustavo; Marín, Gabriela

doi:10.1007/978-3-319-67585-5_2

Cited by 8 publications

(11 citation statements)

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“…This classification was based on the description of Porter's value chain according to the support activities or functions in an organisation [27], where the well-known support functions in an organisation include IT and Human Resource Management. The only studies that reported on all nine dimensions were [28] and [29]. Smart economy and smart living were the top two dimensions reported on (f = 11).…”

Section: Dimensionsmentioning

confidence: 99%

“…The dimensions that were least reported on within its context of being applied within Smart Cities are smart mobility and smart organisation. Smart People (D1) is the first important dimension identified by several Smart City studies [6,23,[28][29][30][31][32][33]. This dimension recognises that people who are stakeholders can contribute to a Smart City's success.…”

Section: Dimensionsmentioning

confidence: 99%

“…Some of the factors related to people are the level of qualification, affinity to lifelong learning, social and ethnic plurality, creativity, and synergies through partnerships and collaborations. The second dimension is Smart Governance (D2), which was identified as an important dimension that includes factors that drive a Smart City such as participation in decision-making, public and social services and transparent governance [6,23,[28][29][30][31]34]. The third dimension commonly cited in Smart City studies is Smart Economy (D3) [6, 23, 28-32, 35, 36].…”

Section: Dimensionsmentioning

confidence: 99%

“…This dimension refers to activities that encourage innovation, entrepreneurship spirit, productivity and international embeddedness. Seven studies reported on the importance of Smart Environment (D4) as a dimension [6,23,28,29,31,33,35]. This discussion relates to factors such as: attractiveness of natural conditions, environmental protection policies and being able to have sustainable resource management, and ensuring that a city is future proof (i.e.…”

Section: Dimensionsmentioning

confidence: 99%

“…Interestingly, sustainable resource management and a future proof city were reported in the same seven studies as important for a Smart City. Smart Mobility (D5) is the dimension that focuses on factors involving sustainable, innovative and safe transport systems that are accessible locally, nationally and internationally [6,[28][29][30]34]. The sixth dimension (D6) is Smart Living, which includes factors such as cultural facilities, health conditions, individual safety, housing quality and education facilities.…”

Section: Dimensionsmentioning

confidence: 99%

See 4 more Smart Citations

Using Theories to Design a Value Alignment Model for Smart City Initiatives

Hoogen¹,

Scholtz²,

Calitz³

2020

Lecture Notes in Computer Science

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Smart city initiatives are widely becoming part of the world agenda to address crises and to identify new initiatives for countries to manage resources while providing better living conditions for all citizens. The purpose of this study was to design a model to support the alignment of value in Smart City initiatives. To address this purpose, a systematic literature review (SLR) was conducted to find what Smart City initiatives have been addressed in empirical studies, and what dimensions and factors are linked to these initiatives. The SLR also identified the stakeholders in a Smart City, and what their roles should be linked to these initiatives. Six theories were identified and used to undergird the researcher's understanding of the domains of Smart Cities, value and alignment. The concepts from these theories were then used with the SLR findings to design a conceptual model for Smart City initiatives. The proposed Value Alignment Smart City Model (VASC) can be used to plan or assess Smart City initiatives. The main contribution is the alignment of value amongst stakeholders to support the success of such initiatives. Further research is required to investigate adopting the model and empirically evaluate it.

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Section: Dimensionsmentioning

confidence: 99%