7,204 research outputs found

    Design smart city apps using activity theory.

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    In this paper we describe an innovative approach to the design process of Smart City interventions. We tested it with participants enrolled in the Master\u2019s Degree program in \u201cInnovators in enterprise and public administration\u201d: the objective of the Master was to stimulate the acquisition of technical and methodological skills useful in designing and implementing specific Smart City actions. During the "project work" phase, participants learned about a design method named SAM \u2013 Smart City Model - based on the Cultural Historical Activity Theory (CHAT). We present an overview of design criteria for Smart City projects, the description of the theoretical framework of Activity Theory, and our proposal of the SAM design model. We also present some examples of student\u2019s \u201cprojects\u201d and a more extensive description of one case study about the full design process of an App planned using SAM, for \u201csmart health\u201d vaccine management and monitoring services. The App was later published and made available to the citizens and was successful in attracting thousands of users. All the participants considered the model very useful in particular because it made possible to understand the interaction and solve contradictions between different stakeholders and systems involved

    Ontology-based Classification and Analysis of non- emergency Smart-city Events

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    Several challenges are faced by citizens of urban centers while dealing with day-to-day events, and the absence of a centralised reporting mechanism makes event-reporting and redressal a daunting task. With the push on information technology to adapt to the needs of smart-cities and integrate urban civic services, the use of Open311 architecture presents an interesting solution. In this paper, we present a novel approach that uses an existing Open311 ontology to classify and report non-emergency city-events, as well as to guide the citizen to the points of redressal. The use of linked open data and the semantic model serves to provide contextual meaning and make vast amounts of content hyper-connected and easily-searchable. Such a one-size-fits-all model also ensures reusability and effective visualisation and analysis of data across several cities. By integrating urban services across various civic bodies, the proposed approach provides a single endpoint to the citizen, which is imperative for smooth functioning of smart cities

    ์‹œ๋ฏผ ์ค‘์‹ฌ์˜ ์Šค๋งˆํŠธ์‹œํ‹ฐ ์ด๋‹ˆ์…”ํ‹ฐ๋ธŒ์— ๋Œ€ํ•œ ์‹œ๋ฏผ์˜ ๋งŒ์กฑ๋„์™€ ์ฐธ์—ฌ์˜ํ–ฅ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ๊ธฐ์ˆ ๊ฒฝ์˜ยท๊ฒฝ์ œยท์ •์ฑ…์ „๊ณต, 2021.8. ํ™ฉ์ค€์„.Frequently said for being too focused on the technological part, smart city approach implementation has shifted its objectives to put the citizens as the center of smart cityโ€™s developments. The so-called citizen-centric smart city approach has two main characteristics, namely โ€œfor the citizens,โ€ which should meet the need of the citizens, and โ€œwith the citizens,โ€ which encourages the citizens to participate. However, previous studies showed that the current implementation of a smart city is often not in line with the actual need of the citizens. In addition, most prior studies only focus on the benefits of smart city initiatives and factors that affect the citizens to use the smart city initiatives. At the same time, only a few studies addressed the citizenโ€™s perspective of smart city initiatives and the relation to their intention to participate. Therefore, this study examines the citizensโ€™ satisfaction and analyzes its relationship with their participation intention toward citizen-centric smart city initiatives to fill in those gaps. The data was collected through online questionnaires at the beginning of May 2021 with the target respondent of people living in Jakarta city. 187 data had been received from the survey. There were 9 data removed from the dataset during data cleansing and preparation due to the unengaged data with the same value for all of the questions. Finally, a total of 178 valid data had been used in the analysis. In the first part of the analysis, this study used the Importance and Performance Analysis (IPA) and Customer Satisfaction Index (CSI) to determine the level of citizenโ€™s satisfaction with the existing smart city initiatives in Jakarta. In the second part, this study implemented the Partial Least Square Structural Equation Modeling (PLS-SEM) to examine the relationship among predictors of the citizenโ€™s intention to participate in the smart city initiatives using Behavioral Reasoning Theory (BRT). The moderation effect of citizensโ€™ awareness had been discussed in the third analysis. The result showed that the citizensโ€™ level of satisfaction is low satisfactory with 58.19%. In addition, the IPA analysis explained the perception of citizens toward each of the existing smart city initiatives and provided detailed findings for improvement and prioritization purposes. The PLS-SEM analysis resulted that โ€œsatisfactionโ€ strongly influences the โ€œreason forโ€ and โ€œparticipation intentionโ€ through global motives โ€œattitudeโ€. On the other hand, there is not enough evidence in this study that explained the relationship between โ€œreason againstโ€ toward โ€œsatisfactionโ€, โ€œattitudeโ€, and โ€œparticipation intentionโ€. Lastly, the moderation analysis concluded that citizensโ€™ โ€œawarenessโ€ strongly moderates the โ€œattitudesโ€ toward โ€œparticipation intentionโ€ positively and the โ€œreason forโ€ toward โ€œparticipation intentionโ€ negatively. On the other hand, citizensโ€™ awareness does not have any moderating effect on the โ€œreason againstโ€ toward โ€œparticipation intentionโ€. Other findings, study implications, and limitations are also discussed in this study.ํ”ํžˆ ๊ธฐ์ˆ  ๋ถ€๋ถ„์— ๋„ˆ๋ฌด ์น˜์ค‘ํ–ˆ๋‹ค๋Š” ์ด์œ ๋กœ ์Šค๋งˆํŠธ์‹œํ‹ฐ ์ ‘๊ทผ๋ฐฉ์‹์€ ์‹œ๋ฏผ์„ ์Šค๋งˆํŠธ์‹œํ‹ฐ ๋ฐœ์ „์˜ ์ค‘์‹ฌ์œผ๋กœ ๋ชฉํ‘œ๋ฅผ ์ „ํ™˜ํ–ˆ๋‹ค. ์ด๋ฅธ๋ฐ” ์‹œ๋ฏผ์ค‘์‹ฌ ์Šค๋งˆํŠธ์‹œํ‹ฐ ์ ‘๊ทผ๋ฒ•์€ ์‹œ๋ฏผ๋“ค์˜ ์š”๊ตฌ์— ๋ถ€์‘ํ•ด์•ผ ํ•˜๋Š” '์‹œ๋ฏผ์„ ์œ„ํ•œ'๊ณผ ์‹œ๋ฏผ๋“ค์˜ ์ฐธ์—ฌ๋ฅผ ์œ ๋„ํ•˜๋Š” '์‹œ๋ฏผ๊ณผ ํ•จ๊ป˜'๋ผ๋Š” ๋‘ ๊ฐ€์ง€ ํŠน์„ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ, ์ด์ „์˜ ์—ฐ๊ตฌ๋“ค์€ ํ˜„์žฌ์˜ ์Šค๋งˆํŠธ ์‹œํ‹ฐ์˜ ๊ตฌํ˜„์ด ์‹œ๋ฏผ๋“ค์˜ ์‹ค์ œ ํ•„์š”์„ฑ๊ณผ ๋งž์ง€ ์•Š๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ๋˜ํ•œ, ๋Œ€๋ถ€๋ถ„์˜ ์„ ํ–‰ ์—ฐ๊ตฌ๋Š” ์Šค๋งˆํŠธ ์‹œํ‹ฐ ์ด๋‹ˆ์…”ํ‹ฐ๋ธŒ์˜ ์ด์ ๊ณผ ์Šค๋งˆํŠธ ์‹œํ‹ฐ ์ด๋‹ˆ์…”ํ‹ฐ๋ธŒ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ์‹œ๋ฏผ์—๊ฒŒ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์†Œ์—๋งŒ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ๋™์‹œ์— ์Šค๋งˆํŠธ์‹œํ‹ฐ ์ด๋‹ˆ์…”ํ‹ฐ๋ธŒ์— ๋Œ€ํ•œ ์‹œ๋ฏผ๋“ค์˜ ์‹œ๊ฐ๊ณผ ์ฐธ์—ฌ์˜ํ–ฅ๊ณผ์˜ ๊ด€๊ณ„๋ฅผ ๋‹ค๋ฃฌ ์—ฐ๊ตฌ๋„ ์ผ๋ถ€์— ๋ถˆ๊ณผํ–ˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ๋Š” ์‹œ๋ฏผ๋“ค์˜ ๋งŒ์กฑ๋„๋ฅผ ์‚ดํŽด๋ณด๊ณ  ์‹œ๋ฏผ ์ค‘์‹ฌ์˜ ์Šค๋งˆํŠธ์‹œํ‹ฐ ์ด๋‹ˆ์…”ํ‹ฐ๋ธŒ์— ๋Œ€ํ•œ ์ฐธ์—ฌ ์˜๋„์™€ ๊ทธ ๊ฐ„๊ทน์„ ํ•ด์†Œํ•˜๊ธฐ ์œ„ํ•œ ๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•œ๋‹ค. ์ž๋ฃŒ๋Š” 2021๋…„ 5์›” ์ดˆ ์ž์นด๋ฅดํƒ€์— ๊ฑฐ์ฃผํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์˜ ๋Œ€์ƒ ์‘๋‹ต์ž์™€ ํ•จ๊ป˜ ์˜จ๋ผ์ธ ์„ค๋ฌธ์ง€๋ฅผ ํ†ตํ•ด ์ˆ˜์ง‘๋˜์—ˆ์œผ๋ฉฐ, ์กฐ์‚ฌ ๊ฒฐ๊ณผ 187๊ฐœ์˜ ๋ฐ์ดํ„ฐ๊ฐ€ ์ ‘์ˆ˜๋˜์—ˆ๋‹ค. ๋ฐ์ดํ„ฐ ์ •๋ฆฌ ๋ฐ ์ค€๋น„ ์ค‘์— ๋ฐ์ดํ„ฐ์…‹์—์„œ ์ œ๊ฑฐ๋œ ๋ฐ์ดํ„ฐ๋Š” 9๊ฐœ์˜€์œผ๋ฉฐ. ๋งˆ์ง€๋ง‰์œผ๋กœ, ์ด 178๊ฐœ์˜ ์œ ํšจํ•œ ๋ฐ์ดํ„ฐ๊ฐ€ ๋ถ„์„์— ์‚ฌ์šฉ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๋ถ„์„ ์ฒซ ๋ถ€๋ถ„์—์„œ๋Š” ์ค‘์š”๋„ ๋ฐ ์„ฑ๊ณผ๋ถ„์„(IPA)๊ณผ ๊ณ ๊ฐ๋งŒ์กฑ์ง€์ˆ˜(CSI)๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ž์นด๋ฅดํƒ€์˜ ๊ธฐ์กด ์Šค๋งˆํŠธ์‹œํ‹ฐ ์ด๋‹ˆ์…”ํ‹ฐ๋ธŒ์— ๋Œ€ํ•œ ์‹œ๋ฏผ๋“ค์˜ ๋งŒ์กฑ๋„๋ฅผ ํŒŒ์•…ํ•˜์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ ํŒŒํŠธ์—์„œ๋Š” ํ–‰๋™์ถ”๋ฆฌ์ด๋ก (BRT)์„ ์ด์šฉํ•œ ์Šค๋งˆํŠธ์‹œํ‹ฐ ์ด๋‹ˆ์…”ํ‹ฐ๋ธŒ ์ฐธ์—ฌ์˜ํ–ฅ ์˜ˆ์ธก ๋ณ€์ˆ˜๋“ค ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•ด ๋ถ€๋ถ„ ์ตœ์†Œ์ œ๊ณฑ๊ตฌ์กฐ ๋ฐฉ์ •์‹ ๋ชจ๋ธ๋ง(PLS-SEM)์„ ๊ตฌํ˜„ํ–ˆ๋‹ค. ์„ธ ๋ฒˆ์งธ ๋ถ„์„์—์„œ๋Š” ์‹œ๋ฏผ๋“ค์˜ ์ธ์‹์˜ ์˜จ๊ฑด ํšจ๊ณผ๊ฐ€ ๋…ผ์˜๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ ์‹œ๋ฏผ๋“ค์˜ ๋งŒ์กฑ๋„๊ฐ€ 58.19%๋กœ ๋‚ฎ์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด์™€ ํ•จ๊ป˜ IPA ๋ถ„์„์—์„œ๋Š” ๊ธฐ์กด ์Šค๋งˆํŠธ์‹œํ‹ฐ ์ด๋‹ˆ์…”ํ‹ฐ๋ธŒ ๊ฐ๊ฐ์— ๋Œ€ํ•œ ์‹œ๋ฏผ๋“ค์˜ ์ธ์‹์„ ์„ค๋ช…ํ•˜๊ณ  ๊ฐœ์„ ๊ณผ ์šฐ์„ ์ˆœ์œ„๋ฅผ ์œ„ํ•œ ์„ธ๋ถ€ ์กฐ์‚ฌ ๊ฒฐ๊ณผ๋ฅผ ์ œ๊ณตํ–ˆ๋‹ค. PLS-SEM ๋ถ„์„์€ '๋งŒ์กฑ'์ด ๊ธ€๋กœ๋ฒŒ ๋™๊ธฐ 'ํƒœ๋„'๋ฅผ ํ†ตํ•ด '์˜๋„'์™€ '์ฐธ์—ฌ์˜๋„'์— ๊ฐ•ํ•˜๊ฒŒ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ๊ฒฐ๊ณผ๋ฅผ ๋‚ณ์•˜๋‹ค. ๋ฐ˜๋ฉด, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” '๋งŒ์กฑ', 'ํƒœ๋„', '์ฐธ์—ฌ์˜๋„'์— ๋Œ€ํ•œ '๋ฐ˜๋Œ€์˜ ์ด์œ '์˜ ๊ด€๊ณ„๋ฅผ ์„ค๋ช…ํ•œ ์ฆ๊ฑฐ๊ฐ€ ์ถฉ๋ถ„ํ•˜์ง€ ์•Š๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ์‹œ๋ฏผ๋“ค์˜ '์ธ์‹'์ด '์ฐธ์—ฌ์˜๋„'์— ๋Œ€ํ•œ 'ํƒœ๋„'์™€ '์ฐธ์—ฌ์˜๋„'์— ๋Œ€ํ•œ '์‚ฌ์œ '๋ฅผ ๋ถ€์ •์ ์œผ๋กœ ๊ฐ•ํ•˜๊ฒŒ ์™„ํ™”์‹œํ‚จ๋‹ค๋Š” ๊ฒฐ๋ก ์ด ๋‚˜์™”๋‹ค. ๋ฐ˜๋ฉด, ์‹œ๋ฏผ๋“ค์˜ ์ธ์‹์€ '์ฐธ์—ฌ์˜ํ–ฅ'์„ ํ–ฅํ•œ '๋ฐ˜๋Œ€ ์ด์œ '์— ๋Œ€ํ•ด ์–ด๋–ค ์˜จ๊ฑดํ•œ ์˜ํ–ฅ๋„ ๋ฏธ์น˜์ง€ ๋ชปํ•œ๋‹ค. ๋‹ค๋ฅธ ๋ฐœ๊ฒฌ, ์—ฐ๊ตฌ ์˜ํ–ฅ ๋ฐ ํ•œ๊ณ„๋„ ์ด ์—ฐ๊ตฌ์—์„œ ๋…ผ์˜๋ฉ๋‹ˆ๋‹ค.Chapter 1. Introduction 1 1.1 Background and Motivation 1 1.2 Research Problems and Gaps 2 1.3 Research Objectives 3 1.4 Research Questions 4 1.5 Research Benefits 4 1.6 Research Originality 5 1.7 Research Context 5 1.8 Research Outlines 5 Chapter 2. Literature Review 6 2.1 Citizen-centric Smart City Approach 6 2.2 Smart City Initiatives in Jakarta 7 2.3 Measuring the Citizensโ€™ Satisfaction 9 2.3.1 Customer Satisfaction Index (CSI) 9 2.3.2 Importance and Performance Analysis (IPA) Method 11 2.4 Theories to Understand Citizensโ€™ Participation Behavior 13 2.5 Behavioral Reasoning Theory (BRT) 14 Chapter 3. Research Methodology 19 3.1 Research Design 19 3.2 Research Hypotheses and Model 19 3.2.1 Attitude and Participation 20 3.2.2 Reason, Attitude, and Participation 21 3.2.3 Satisfaction, Reason, and Attitude 22 3.2.4 โ€œReasonsโ€ Constructs Extraction 23 3.2.5 Citizensโ€™ Awareness as Moderating Variable 24 3.3 Questionnaire Design 29 3.4 Data Collection 29 3.5 Analysis Method 30 Chapter 4. Results and Analysis 31 4.1 Introduction 31 4.2 Data Sample 31 4.3 Demographic Profiles 32 4.4 Assessment of Citizensโ€™ Satisfaction Measurement 33 4.5 Assessment of Measurement Model 36 4.5.1 Common Method Bias 36 4.5.2 Indicator Reliability, Consistency, and Convergent Validity 37 4.5.3 Discriminant Validity 39 4.5.4 Model Fit Criteria 40 4.5.5 Second-order Construct Measurement 41 4.6 Analysis 42 4.6.1 Citizensโ€™ Satisfaction Analysis 42 4.6.2 Structural Equation Modelling (PLS-SEM) Analysis 46 4.7 Discussion 51 4.7.1 Answer to Research Questions 52 4.7.2 Data Privacy and Security as the Biggest Challenge 55 Chapter 5. Conclusion 56 5.1 Conclusion 56 5.2 Theoretical Implications 59 5.3 Policy Suggestions 59 5.4 Limitation and Future Research 60 Bibliography 61 Abbreviation 73 Appendix A โ€“ Behavioral Reasoning Theory (BRT) Measurement 74 Appendix B โ€“ Survey Instrument 75 Appendix C โ€“ PLS-SEM Analysis with SmartPLS 82 Abstract (Korean) 86์„

    Towards Values-inspired Design: The Case of Citizen-Centric Services

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    We argue for and propose a design-way for Values-inspired Design. The context in which we develop our argument is Citizen-centric services in mega-cities. The work draws on and extends prior efforts related to values, value-conscious design and value-sensitive design. Our efforts are motivated by the significant trends towards mega-cities, and an acknowledgment of the need to translate policy-level decisions to citizen-centric services. The efforts we describe, therefore, demonstrate how values can inspire design principles and in turn, dictate specific design features. We use scenario-based design and rely on commonly accepted UML diagrams to operationalize our argument. The outcome, which we call a design-way provides a mapping across artifacts-principles-values that can act as a sensitizing device to facilitate Values-inspired Design

    Concepts for Modeling Smart Cities

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    The rapid increase and adoption of new Information Technologies (IT) in Smart Cities make the provision of public services more efficient. However, various municipalities and cities deal with challenges to transform and digitize city services. Smart Cities have a high degree of complexity where offered city services must respond to the concerns and goals of multiple stakeholders. These city services must also involve diverse data sources, multi-domain applications, and heterogeneous systems and technologies. Enterprise Architecture (EA) is an instrument to deal with complexity in both private and public organizations. The paper defines the concepts for modeling Smart Cities in ArchiMate, guided by a design-oriented research approach. Particularly, the focus of this paper is on the concepts for modeling city services and underlying information systems which are added to the EA metamodel. The metamodel is demonstrated in a real-world case and validated by Smart City domain experts. The findings suggest that these concepts are essential to achieve the Smart City strategy (e.g., city goals and objectives), as well as to meet the needs of different city stakeholders. Furthermore, an extension mechanism allows addressing the alignment of business and IT in complex environments such as Smart Cities, by adjusting EA metamodels and notations. This can help cities to design, visualize, and communicate architecture decisions when managing the transformation and digitalization of public services

    Mining a MOOC to examine international views of the โ€œSmart Cityโ€

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    Increasing numbers of cities are focussed on using technology to become โ€œSmartโ€. Many of these Smart City programmes are starting to go beyond a technological focus to also explore the value of a more inclusive approach that values the input of citizens. However, the insights gained from working with citizens are typically focused around a single town or city. In this paper we explore whether it is possible to understand peopleโ€™s opinions and views on the Smart City topics of Open Data, privacy and leadership by examining comments left on a Smart City MOOC that has been delivered internationally. In doing so we start to explore whether MOOCs can provide a lens for examining views on different facets of the Smart City agenda from a global audience, albeit limited to the demographic of the typical MOOC user

    Factors affecting sustainability of smart city services in China:From the perspective of citizensโ€™ sense of gain

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    The citizen-centric smart city has become an essential paradigm for dealing with the problems caused by rapid urbanization. The Chinese government proposed enhancing citizens' sense of gain to achieve the citizen-centric development goal. To develop a more realistic improving path for the sustainability of smart city services (SCS), it is necessary to clarify the factors that affect citizens' sense of gain of smart city services (CSGSCS). To achieve this objective, 9 hypotheses were developed based on the modified expectation confirmation theory. Hypothesis testing, mediating effect testing, and heterogeneity analysis was conducted based on data collected from Nanjing citizens. The results indicate that: 1) Expectation-Perception Performance, including Content of SCS, Channel of SCS, and Support of SCS, all have positive direct effects on CSGSCS; 2) Expectation Confirmation directly affects CSGSCS and mediates the positive effect of the Expectation-Perception Performance on CSGSCS; 3) Heterogeneity of age and usage frequency have significant effects on CSGSCS. Finally, three policy implications were proposed, including encouraging citizens to participate in SCS supply, bridging the digital divide created by SCS, and improving the policy and legal system on SCS. This research enriches the academic framework and provides guidance for sustainable supply of SCS in similar cities around the world.</p
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