2,530 research outputs found

    Contextual Mobile Learning for professionals working in the โ€œSmart Cityโ€

    Get PDF
    In this study, we propose an innovative approach using the โ€œContextual Mobile Learning Systemโ€ based on the โ€œElectronic Performance Support Systemโ€ (EPSS) to support efficient just-in-time learning for professionals working in the โ€œSmart cityโ€. In this paper, we present the principle and the structure of our contextual mobile learning system, which uses a search engine to find appropriate learning units in relation with working activities and conditions and the userโ€™s / workerโ€™s profile. We further discuss the proposed system structure, supportive process and context-driven engine. Finally, we describe a scenario using our contextual mobile learning system

    Illuminating Smart City Solutions โ€“ A Taxonomy and Clusters

    Get PDF
    With urban problems intensifying, Smart City solutions are recognized by researchers and practitioners as one of the most promising solutions to make urban areas economically, environmentally, and socially sustainable. While many elements of Smart City solutions have been explored, existing works either treat Smart City solutions as technical black boxes or focus exclusively on Smart City solutionsโ€™ technical or non-technical characteristics. Therefore, to conceptualize the unique characteristics of Smart City solutions currently available, we developed a multi-layer taxonomy based on Smart City solution literature and a sample of 106 Smart City solutions. Moreover, we identified three clusters, each covering a typical combination of characteristics of Smart City solutions. We evaluated our findings by applying the Q-sort method. The results contribute to the descriptive knowledge of Smart City solutions as a first step for a theory for analyzing and enable researchers and practitioners to understand Smart City solutions more holistically

    A citizen-centred approach to education in the smart city: incidental language learning for supporting the inclusion of recent migrants

    Get PDF
    Smart cities are often developed in a top-down approach and designers may see citizens as bits within data flows. A more human-centred perspective would be to consider what the smart city might afford its citizens. A high speed, pervasive network infrastructure offers the opportunity for ubiquitous mobile learning to become a reality. The MASELTOV project sees the smart city as enabling technology enhanced incidental learning: unplanned or unintentional learning that takes place in everyday life, in any place, at any time, with the city itself the context and the prompt for learning episodes. Migrants in particular will benefit: limited in their opportunity to attend formal education yet with a pressing need for language learning to support their integration. Incidental learning services, like smart city planning, need interdisciplinary communication for successful development. We describe the MASELTOV Incidental Learning Framework which will act as a boundary object to facilitate this process.

    The smart city as mobile policy: Insights on contemporary urbanism

    Get PDF
    Under embargo until: 2021-12-19What can the smart city discourse tell us about contemporary urbanism? This discourse is arguably a key exemplar of the increasingly mobile and networked characteristic of urban policy-making, and can reveal important insights into the policy processes currently shaping cities. For that purpose, this paper empirically examines smart city networks funded by the European Union, in particular three so-called โ€˜Lighthouse citiesโ€™ for smart city development โ€“ Nottingham, Stavanger and Stockholm โ€“ and their contested local implementation. On the basis of these cases, we highlight three characteristics that emerge when smart city policies are made mobile: glossiness, fragmentation and randomness. We propose that with intensifying policy mobility these qualities may be increasingly important features of contemporary urban policy-making, that condition possibilities to govern cities in response to critical urban challenges.acceptedVersio

    Smart Governance: Opportunities for technologically-mediated citizen co-production

    Get PDF
    Citizens increasingly contribute directly to the evolution of sustainable cities, in particular where new Information and Communication Technologies (ICTs) promise to transform urban governance into โ€˜Smart city governanceโ€™ and where ICTs are integrated in strategies for citizen participation and the co-production of public services and policy. This article provides a multi-disciplinary understanding of Smart city governance, including new insights around the opportunities for citizen engagement in the co-production of service-delivery and decision-making. Using findings from a review of Smart cities literature and practice, the article aims to establish the breadth of Smart city initiatives which emphasise citizen participation and the realities of delivering such initiatives in complex city environments. Emphasising the emerging role of the technologically โ€˜empoweredโ€™ citizen, a new conceptual model is presented, where mutual trust, shared understanding and new opportunities for co-production emerge in an environment mediated by new technology โ€“ this form of Smart governance is referred to here as โ€˜technologically-mediated municipal reciprocityโ€™

    The alignment of university curricula with the building of a smart city: a case study from Barcelona

    Get PDF
    This paper argues the role of the University in the Smart City transformation strategy. The theoretical structure takes as reference the recent Complexity theory for city development and their application to the networks of the Connected city. The approach is based on a justified selection of Barcelona and its four universities. We carry out a deductive and interpretivist method interviewing 19 senior experts whole profiles represent the dif- ferent forces of the Triple Helix model. Our results show the Barcelona city hall has the objective to implement five main innovative services which are fuelled by six main emerging technologies. Nevertheless, we demon- strate that the universities curriculum is not aligned with the city hall's objectives and a gap exists to prepare the undergraduates to the professions required for the Smart City. We recommend six propositions to reshape the University program curricula and leverage the application of Complexity theory to network. The originality of this study is to propose a 3-phases method along with a framework with pre-filled templates and protocols of interviews to analyze universities that pursue the objective to support Smart Cities implementation in a new context of science of cities.Peer ReviewedPostprint (author's final draft

    Succeeding with Smart People Initiatives: Difficulties and Preconditions for Smart City Initiatives that Target Citizens

    Get PDF
    Smart City is a paradigm for the development of urban spaces through the implementation of state-of-the-art ICT. There are two main approaches when developing Smart Cities: top-down and bottom-up. Based on the bottom-up approach, the concepts of Smart People and Smart Communities have emerged as dimensions of the Smart City, advocating for the engagement of citizens in Smart People initiatives. The aim of this research is both to find the types of Smart People initiatives and to identify their difficulties and preconditions for success. However, such initiatives that aim to (1) leverage the citizens intellectually and (2) use citizens as a source of input for ideas and innovation, are understudied. Therefore, this research proposes a concentrated framework of Smart People initiatives from an extensive literature review. On one hand, this framework contributes with a common ground and vocabulary that facilitates the dialogue within and between practitioners and academia. On the other hand, the identification of difficulties and preconditions guides the academia and practitioners in how to successfully account for citizens in the Smart City. From the literature review and the conduct of case studies of five European cities, participation came out as the key difficulty across both types of Smart People initiatives and cases, closely followed by awareness, motivation and complexity

    A smart city for all citizens: an exploration of childrenโ€™s participation in Norwayโ€™s smartest city

    Get PDF
    In recent years, a 'participatory turn' has emerged as a remedy to counter top-down and techno-centric smart city development approaches. While this shift in smart city policies and strategies offers promise, it also presents challenges. This paper scrutinizes the participatory shift within smart city policies and initiatives in Stavanger, Norway, a pioneer and driving force for smart city development in Northern Europe. Using a qualitative case study of the Lervig Smart Park project, with a particular focus on the inclusion of children and youth, we investigate the methods of participation employed and the stages at which children are integrated into the planning process. Our findings underscore the beneficial outcomes of including children and youth in the Lervig Park design process, yet also reveal significant limitations, especially in the perception of children as capable political subjects and the absence of suitable methodological tools for their engagement across planning phases.publishedVersio

    ์ดํ•ด๊ด€๊ณ„์ž ์ ‘๊ทผ์„ ํ†ตํ•œ ๋ฒ ํŠธ๋‚จ ์ค‘์†Œ๋„์‹œ์˜ ์Šค๋งˆํŠธ์‹œํ‹ฐ ๊ฐœ๋ฐœ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ํ™˜๊ฒฝ๋Œ€ํ•™์› ํ˜‘๋™๊ณผ์ • ์กฐ๊ฒฝํ•™, 2021. 2. ์†ก์˜๊ทผ.๋ฒ ํŠธ๋‚จ์€ ์ง€๋‚œ 30๋…„ ์ด์ƒ์˜ ํ˜์‹ ์„ ํ†ตํ•ด ๊ฒฝ์ œ์  ๋ฐ ์‚ฌํšŒ์  ์ธก๋ฉด์—์„œ ๋งŽ์€ ๋ณ€ํ™”์™€ ์„ฑ๊ณผ๊ฐ€ ์žˆ์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Ÿฌํ•œ ๋ฐœ์ „์— ๋”ฐ๋ผ ๊ธ‰์†ํ•œ ๋„์‹œํ™”๊ฐ€ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ๋งŽ์€ ์ง€์—ญ์—์„œ ๊ณ„ํš์˜ ๊ณผ์ •๊ณผ ๋‚ด์šฉ์— ์žˆ์–ด ํฐ ํ˜ผ๋ž€์„ ์•ผ๊ธฐํ•˜๊ณ  ์žˆ๋‹ค. ์ด์™€ ๊ฐ™์€ ๋ฌธ์ œ๋Š” ๋„์‹œํ™˜๊ฒฝ ๊ฐœ์„ ์„ ์œ„ํ•˜์—ฌ ๊ณ„ํšํ•˜๋Š” ๊ฑฐ๋ฒ„๋„Œ์Šค ๋ฐ ์ธํ”„๋ผ์— ์••๋ ฅ์„ ๋”ํ•˜๊ณ  ์žˆ๋‹ค. ๋‹ค์‹œ ๋งํ•˜๋ฉด, ๋„์‹œ์˜ ๋ฐœ์ „์€ ์„ฑ์žฅ ์†๋„ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋ชจ๋“  ์ธก๋ฉด์—์„œ์˜ ์กฐํ™”๊ฐ€ ์š”๊ตฌ๋˜๋ฉฐ, ๋„์‹œ์˜ ๋ฐœ์ „์€ ์Šค๋งˆํŠธ ์†”๋ฃจ์…˜์— ์˜ํ•ด ์ด๋ฃจ์–ด์ ธ์•ผ ํ•œ๋‹ค. ์Šค๋งˆํŠธ ์‹œํ‹ฐ๋กœ์˜ ์ „ํ™˜์€ ์ „์„ธ๊ณ„์ ์ธ ํŠธ๋ Œ๋“œ์ผ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ๋ฒ ํŠธ๋‚จ์˜ ๋งŽ์€ ๋„์‹œ์—์„œ๋„ ํ™•์‚ฐ๋˜๊ณ  ์žˆ๋‹ค. ์Šค๋งˆํŠธ ์‹œํ‹ฐ์— ์žˆ์–ด ํ•„์ˆ˜์ ์ธ ๋…ผ์˜, ํŠนํžˆ ์ „ํ†ต์ ์ธ ๋„์‹œ ๊ด€๋ฆฌ ์ •์ฑ…์˜ ๊ด€์ ์—์„œ ์Šค๋งˆํŠธ ๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๋…ผ์˜๊ฐ€ ๋งŽ์ด ์žˆ์—ˆ๋‹ค. ํ•˜์ง€๋งŒ, ๊ธฐ์ˆ  ์ธก๋ฉด์—์„œ ์ดˆ์ ์„ ๋งž์ถ˜ ๊ฐœ๋ฐœ ๋ฐฉ์‹์€ ์Šค๋งˆํŠธ ์‹œํ‹ฐ๋ฅผ ๋‘˜๋Ÿฌ์‹ผ ๋‹ค์–‘ํ•œ ์š”์†Œ์˜ ์ˆ˜์ค€์„ ๊ณ ๋ คํ•˜์ง€ ์•Š์•˜๋‹ค๋Š” ๋น„ํŒ์„ ๋ฐ›์•˜๋‹ค. ์Šค๋งˆํŠธ ์‹œํ‹ฐ๋Š” ๊ธฐ์ˆ ์ ์ธ ์š”์†Œ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋ณต์žกํ•œ ์ฃผ๋ณ€ ํ™˜๊ฒฝ์„ ๊ณ ๋ คํ•˜์—ฌ์•ผํ•˜๊ธฐ ๋•Œ๋ฌธ์—, ์ •๋ถ€๊ฐ€ ์Šค๋งˆํŠธ ์ •์ฑ…์„ ์ ์šฉํ•จ์— ์žˆ์–ด ๋‹ค์–‘ํ•œ ์š”์†Œ๋ฅผ ๊ณ ๋ คํ•˜์ง€ ์•Š์œผ๋ฉด ์‹œ๋ฏผ๋“ค์—๊ฒŒ ์–‘์งˆ์˜ ์„œ๋น„์Šค๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ์ œ๊ณตํ•  ์ˆ˜ ์—†์„ ๊ฒƒ์ด๋‹ค. ๋ฌผ๋ฆฌ์  ์‹œ์Šคํ…œ๊ณผ ์‚ฌ๋žŒ ๊ฐ„ ์ƒํ˜ธ ์ž‘์šฉ์„ ์ด๋Œ์–ด๋‚ด๋Š” ๊ณต๊ณต์„œ๋น„์Šค์˜ ์ตœ์ข…์‚ฌ์šฉ์ž๋กœ์„œ ์ดํ•ด๊ด€๊ณ„์ž(Stakeholder) ๋Š” ์ •์ฑ…๊ฒฐ์ • ๊ณผ์ •์— ์žˆ์–ด ์•„์ด๋””์–ด๋ฅผ ์ œ๊ณตํ•˜๊ณ  ์„ฑ๊ณต์ ์ธ ๋„์‹œ ์†”๋ฃจ์…˜์„ ํ•จ๊ป˜ ๊ตฌ์ถ•ํ•˜์—ฌ์•ผ ํ•œ๋‹ค. ์Šค๋งˆํŠธ ์‹œํ‹ฐ ๊ฐœ๋ฐœ ๊ณผ์ •์—์„œ ์ดํ•ด๊ด€๊ณ„์ž์˜ ์—ญํ•  ์ •๋ฆฝ์€ ์ „์„ธ๊ณ„ ๋ชจ๋“  ๋„์‹œ์—์„œ ์ฃผ์š” ๊ณผ์ œ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋ชจ๋“  ๊ณผ์ •์—์„œ ์ดํ•ด๊ด€๊ณ„์ž์˜ ์ฐธ์—ฌ๋Š” ์ •์ฑ…๊ฒฐ์ •์ž๊ฐ€ ํšจ๊ณผ์ ์ธ ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„๊ณผ ์Šค๋งˆํŠธ ์‹œํ‹ฐ ๊ฐœ๋ฐœ ๊ณผ์ •์—์„œ ์˜ฌ๋ฐ”๋ฅธ ์˜์‚ฌ ๊ฒฐ์ •์„ ๋‚ด๋ฆฌ๋Š”๋ฐ ๋„์›€์„ ์ค„ ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ๋…ผ๋ฌธ์€ ์Šค๋งˆํŠธ ์‹œํ‹ฐ ๊ฐœ๋ฐœ์— ์žˆ์–ด ๊ณผํ•™์  ์—ฐ๊ตฌ๋กœ์„œ ์ดํ•ด๊ด€๊ณ„์ž ์ ‘๊ทผ์„ ํ†ตํ•ด ๋ฒ ํŠธ๋‚จ ์ค‘์†Œ ๋„์‹œ์˜ ์Šค๋งˆํŠธ ์‹œํ‹ฐ ๊ฐœ๋ฐœ ์ค€๋น„์— ์žˆ์–ด ํ†ตํ•ฉ์ ์ธ ์‹œ์‚ฌ์ ์„ ์ œ๊ณตํ•˜๊ณ ์ž ํ•œ๋‹ค. ๋…ผ๋ฌธ์€ ์šฐ์„  ์Šค๋งˆํŠธ ์‹œํ‹ฐ ๊ฐœ๋ฐœ ์ „๋žต๊ณผ ๊ด€๋ จ๋œ ์„ ํ–‰ ์—ฐ๊ตฌ์— ๋Œ€ํ•œ ๊ฒ€ํ† ์™€ ์š”์ธ์„ ์ถ”์ถœํ•˜์˜€๋‹ค. ์ด ๊ณผ์ •์—์„œ AHP๋ถ„์„์„ ํ†ตํ•ด ์š”์ธ์˜ ์ˆœ์œ„๋ฅผ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ๋‚ด๋ถ€ ์š”์ธ ๊ฐ€์šด๋ฐ, ์‹œ๋ฏผ์ฐธ์—ฌ (0.4141), ํ–‰์ • , ์ธํ”„๋ผ (0.2234) ์ˆœ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์™ธ๋ถ€ ์š”์ธ์œผ๋กœ๋Š” ์ •์น˜์  ์˜์ง€ (0.5093), ์ดํ•ด๊ด€๊ณ„์ž (0.3373), ๊ธฐ์ˆ ์˜ ์‹œ๋Œ€ (0.1535) ์ˆœ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ, ๋‹ฌ๋ž(Da Lat), ๋ƒ์งฑ(Nha Trang)๊ณผ ๋ฐ•๋‹Œ(Bac Ninh) ๋“ฑ ๋ฒ ํŠธ๋‚จ 3๊ฐœ์˜ ์ค‘์†Œ๋„์‹œ์—์„œ์˜ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์—ฌ ์„ ํ˜• ๊ตฌ์กฐ๋ฐฉ์ •์‹๋ชจํ˜•(Structural Equation Modeling)์„ ํ†ตํ•ด ์Šค๋งˆํŠธ ์‹œํ‹ฐ ๊ฐœ๋ฐœ ์ค€๋น„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์„ ํŒŒ์•…ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค (adjusted R2=0.589) . ๊ทธ ๊ฒฐ๊ณผ, ์Šค๋งˆํŠธ ์‹œํ‹ฐ ๊ฐœ๋ฐœ ์ค€๋น„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” 3๊ฐœ์˜ ์ฃผ์š” ์š”์ธ์œผ๋กœ ๊ธฐ์ˆ ์ , ์กฐ์ง์ , ํ™˜๊ฒฝ์  ์ธก๋ฉด์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ํŠนํžˆ ์กฐ์ง ์ธก๋ฉด์—์„œ์˜ ์ค€๋น„๋Š” ์Šค๋งˆํŠธ ์‹œํ‹ฐ ๊ฐœ๋ฐœ ์ค€๋น„์— ๊ฐ€์žฅ ํฐ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค (ฮฒ coefficient = 0.415; t-value = 8.960; p = 0.000). ๋งˆ์ง€๋ง‰์œผ๋กœ ์ดˆ๊ธฐ ๋‹จ๊ณ„๋ถ€ํ„ฐ ์„ฑ๊ณต์ ์ธ ์Šค๋งˆํŠธ ์‹œํ‹ฐ ๊ฐœ๋ฐœ์„ ์œ„ํ•˜์—ฌ ํšจ๊ณผ์ ์ธ ์ „๋žต ์ง€์นจ๊ณผ ๊ด€๋ฆฌ ๋ฐ ์šด์˜ ์›์น™์— ๋Œ€ํ•œ ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค.After more than 30 years of renovation in economic and social aspects, Vietnam has brought many outstanding achievements. However, rapid urbanization is the defect of this development, accompanied by burly disturbance in planning that municipalities across the country be facing many problems. All of these challenges have put pressure on governance and infrastructure planning to shift the quality of life in cities. Can notice that urban development not only reflected in the growth rate but also harmony in all aspects, the urban development process accordingly must be handle by smart solutions. Smart city evolution is becoming a trend not only in mega-urban areas but also spread to many medium-sized cities in Vietnam. There is quite a lot of discussion on smart cities at an essential period, in particular, smart technology from the perspective of traditional urban policy. However, the ways of development focused on technology aspects have criticized because of removing different levels of elements surrounding smart cities. When the government does not consider the various factors in the implementation of smart policy, it may not effectively provide quality services to citizens, because smart cities are not only concerned with technical factors, but also the intricate surroundings. As an end-user of public services, carrying out interactions between the physical system and human, stakeholders must also contribute ideas for policy-making processes and co-create successful city solutions. Establishing the role of stakeholders in smart city development journey has identified as the main challenge for all cities around the world. Prompt stakeholder participation in all steps, which can help regulators effectively collect and analyze data thence right decision making in smart city development process. Thus, the purpose of this thesis conducts scientific research on smart city development, providing integrated guidelines about the smart city development readiness for medium-sized cities in Vietnam by the stakeholder approach. The thesis begins with a review of documents related to the strategy for developing smart cities and estimate research factors. In this process, the study examines uses the Analytic Hierarchy Process to conduct ranking of factors. The result shows that a top priority of internal factors is citizen participation (0.4141) then administration (0.3625), infrastructure (0.2234). External factors took the order of political will (0.5093), stakeholders (0.3373), and the technology era (0.1535). The thesis continues to present survey results in three medium-sized cities in Vietnam including Da Lat, Nha Trang, and Bac Ninh. The study based on linear Structural Equation Modeling (SEM) conducted to identify factors that influence smart city development readiness (adjusted R2=0.589) . The result shows that there are three main factors affecting the readiness to develop a smart city including; Technological Readiness, Organizational Readiness, and Environmental Readiness. In particular, Organizational Readiness has the strongest impact on Smart City Development Readiness (ฮฒ coefficient = 0.415; t-value = 8.960; p = 0.000). Finally, the thesis concludes with comprises the integrated framework of effective strategic guidelines, managerial, and operational principles that characterize successful smart city development from the foundation stage for Vietnam medium-sized cities.Table of Contents Chapter 1. Introduction 1 1.1. Overview 1 1.2 Purpose of the Research 6 1.3 Contribution of the Research 7 1.4 Research Outline 8 Chapter 2. Literature Review 11 2.1 Smart City 11 2.1.1 The Fourth Industrial Revolution and Smart City Emergence 11 2.1.2 Smart City Definitions 13 2.1.3 Smart City Paradigms 17 2.2 Vietnam Smart City Development Context 19 2.3 The foundation of smart city development components 21 2.3.1 Internal Factors 21 2.3.1.1 Citizen Participation 21 2.3.1.2 Administration 23 2.3.1.3 Infrastructure 25 2.3.2 External Factors 28 2.3.2.1 Political Will 28 2.3.2.2 Stakeholder 29 2.3.2.3 Technology Era 31 2.4 Stakeholder Approach to Smart City Development 33 2.5 Existing Stakeholder Study and Lesson Learned 35 2.6 Conclusion 39 Chapter 3. Determinant Factors in Smart City Development 41 3.1 Methodology 41 3.1.1 Model approach 41 3.1.2 Analytic Hierarchy Process (AHP) method research 43 3.1.3 Experts Evaluation Synthesis 47 3.1.4 Data Collection 47 3.2 Estimation of Results 50 3.2.1 Synthesis of Priorities 50 3.2.2 The Relative Importance and Priority of Primary Layer 55 3.2.3 The Relative Importance and Priority of Secondary Layer 58 3.3 Conclusion 61 Chapter 4. Study on the Role of Stakeholder Approach for Sustainable Smart City Development 63 4.1 Hypotheses Development 63 4.1.1 Smart City Development Readiness 63 4.1.2 Technological Readiness 64 4.1.3 Organizational Readiness 66 4.1.4 Environmental Readiness 68 4.2 Methodology 71 4.2.1 Model 71 4.2.2 Preliminary Research 73 4.2.3 Primary Research 76 4.2.3.1 Survey Approach 76 4.2.3.2 Survey questionnaire 78 4.2.3.3 Data Collecting 79 4.2.3.4 Distribution of Respondents 80 4.3 Estimation of Results 83 4.3.1 Measurement Model 83 4.3.1.1 Cronbachโ€™s Alpha Test 83 4.3.1.2 Confirmatory Factor Analysis 85 4.3.2 Structural Model 89 4.3.2.1 Measurement structural 89 4.3.2.2 Bootstrapping Test 91 4.3.2.3 Hypothesis Testing 93 4.4 Conclusion 97 Chapter 5. Discussion & Conclusion 99 5.1 Discussion and Implication 99 5.1.1 Discussion 99 5.1.2 Implication 108 5.2 Conclusion 120 5.3 Limitation and Future Work 122 References 123 ๊ตญ๋ฌธ ์š”์•ฝ 152 Appendix A: Survey Questionnaire for AHP 154 Appendix B: Survey Questionnaire for smart city development readiness: Stakeholder approach 160 Appendix C: Discriminant Validity & Variance inflation factor 163Docto
    • โ€ฆ
    corecore