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The purpose of this paper is to propose a distributed deep learning architecture for smart cities in big data systems.

We have proposed an architectural multilayer to describe the distributed deep learning for smart cities in big data systems. The components of our system are Smart city layer, big data layer, and deep learning layer. The Smart city layer responsible for the question of Smart city components, its Internet of things, sensors and effectors, and its integration in the system, big data layer concerns data characteristics 10, and its distribution over the system. The deep learning layer is the model of our system. It is responsible for data analysis.

We apply our proposed architecture in a Smart environment and Smart energy. 10; In a Smart environment, we study the Toluene forecasting in Madrid Smart city. For Smart energy, we study wind energy foresting in Australia. Our proposed architecture can reduce the time of execution and improve the deep learning model, such as Long Term Short Memory10;.

This research needs the application of other deep learning models, such as convolution neuronal network and autoencoder.

Findings of the research will be helpful in Smart city architecture. It can provide a clear view into a Smart city, data storage, and data analysis. The 10; Toluene forecasting in a Smart environment can help the decision-maker to ensure environmental safety. The Smart energy of our proposed model can give a clear prediction of power generation.

The findings of this study are expected to contribute valuable information to decision-makers for a better understanding of the key to Smart city architecture. Its relation with data storage, processing, and data analysis.

The purpose of this paper is to investigate information management in a smart city. It identifies the main trends in progress and how innovation in information technology is helping all those in the smart city ecosystem in terms of generating new sources of data and connecting them. It investigates how information management in the smart city may go through several phases, but contests the notion that the co-ordinated information management that is the dream of many city managers is an appropriate vision, given the tendency in the private sector for competing information platforms to develop, giving value in different ways.

This paper has been written by using a combination of academic insight and literature, extensive research of relevant grey literature (e.g. blogs and industry press) and interviews and interaction with some of the organisations involved in developing and implementing the smart city concept, including public transport organisations, other data providers, analysts and systems and sensor suppliers.

Smart city concepts are evolving in different ways, with divergence of views which involves centralisation and control of information by city authorities and a more democratic view in which the information is managed on different platforms between which smart city stakeholders can choose.

The research method is exploratory. Validating the findings would require a more structured approach in which stakeholders of all kinds are consulted.

All organisational stakeholders in the idea and delivery of smart cities need to consider how their interests in smart city information and those of other stakeholders are evolving and to what extent they should be in partnership with other members of the ecosystem in generating and using the information.

Individuals, whether workers, commuters, shoppers, tourists or others, will be greatly affected by the evolution of smart city information, and their choices about whether to be smart themselves will have an important effect on the benefits they receive from city smartening and on the viability of the smart cities.

Little research has been carried out into the different choices organisations and individuals have in terms of how they will relate to smart city information and how they can manage it. This research makes a start on this task.

The purpose of this paper is to identify and analyze the strategic decisions, especially those focused on smart governance, that have been implemented by the cities of Buenos Aires (Argentina), Medellín (Colombia) and Mexico City (Mexico) and how they have impacted the Sustainable Development Goals (SDGs).

Using a qualitative approach and a descriptive scope, this manuscript follows a multiple case study methodology that was primarily based on the analysis of archival records and documentation using pattern-matching and cross-case synthesis as analytical techniques.

Observed cities share three main characteristics when implementing smart governance strategies linked to SDG 16: technology-based solutions to solve recent and long-lasting societal problems; broad, diverse and active citizen participation; and a socio-technical approach toward smart governance and SDG 16.

This paper points out the linkages between smart governance and SDGs in emerging markets’ smart cities. The findings of this study indicate the need to promote socio-technical approaches – rather than merely technical perspectives – to achieve SDG 16. Hence, citizen participation, open government and co-creation initiatives are key to the promotion of more inclusive and solid institutions.

The most important contribution of this study is to identify the strategic initiatives developed by three leading smart cities in Latin America from the smart governance point of view and their relationship with the SDGs, which is useful because it contributes to expanding our understanding of smart governance from practical experiences.

El propósito de este manuscrito es identificar y analizar las decisiones estratégicas, especialmente aquellas enfocadas en la gobernanza inteligente, que han sido implementadas por las ciudades de Buenos Aires (Argentina), Medellín (Colombia) y Ciudad de México (México), y cómo han impactado en los Objetivos de Desarrollo Sostenible (ODS).

Utilizando un enfoque cualitativo y un alcance descriptivo, este manuscrito sigue una metodología de estudio de casos múltiples que se basó principalmente en el análisis de registros de archivo y documentación utilizando la comparación de patrones y la síntesis cruzada de casos como técnicas analíticas.

Las ciudades observadas comparten tres características principales al implementar estrategias de gobernanza inteligente vinculadas al ODS 16: soluciones basadas en tecnología para resolver problemas sociales recientes y duraderos; participación ciudadana amplia, diversa y activa; y un enfoque socio-técnico hacia la gobernanza inteligente y el ODS16.

Este documento señala los vínculos entre la gobernanza inteligente y los ODS en el contexto de las ciudades inteligentes de los mercados emergentes. Los hallazgos de este estudio indican la necesidad de promover enfoques sociotécnicos -en lugar de perspectivas meramente técnicas- para el logro del ODS16. Por lo tanto, las iniciativas de participación ciudadana, gobierno abierto y cocreación son claves para la promoción de instituciones más inclusivas y sólidas.

La contribución más importante de este estudio es identificar las iniciativas estratégicas desarrolladas por tres ciudades inteligentes líderes en América Latina desde el punto de vista de la gobernanza inteligente y su relación con los ODS, lo cual es útil porque contribuye a ampliar nuestra comprensión. de gobernanza inteligente a partir de experiencias prácticas.

O objetivo deste manuscrito é identificar e analisar as decisões estratégicas, especialmente aquelas focadas na governança inteligente, que foram implementadas nas cidades de Buenos Aires (Argentina), Medellín (Colômbia) e Cidade do México (México), e como elas impactaram os Objetivos de Desenvolvimento Sustentável (ODS).

Utilizando uma abordagem qualitativa e um escopo descritivo, este manuscrito segue uma metodologia de estudo de casos múltiplos que se baseou principalmente na análise de documentos e registros arquivísticos usando correspondência de padrões e síntese de casos cruzados como técnicas analíticas.

As cidades observadas compartilham três características principais ao implementar estratégias de governança inteligente vinculadas ao ODS16: soluções baseadas na tecnologia para resolver problemas sociais recentes e duradouros; participação cidadã ampla, diversificada e ativa; e uma abordagem sociotécnica para governança inteligente e ODS16.

Este artigo aponta as ligações entre governança inteligente e ODS no contexto das cidades inteligentes dos mercados emergentes. Os resultados deste estudo indicam a necessidade de promover abordagens sociotécnicas – mais do que perspectivas somente técnicas – para o alcance dos ODS16. Assim, a participação cidadã, o governo aberto e as iniciativas de cocriação são fundamentais para a promoção de instituições mais inclusivas e sólidas.

A contribuição mais importante deste estudo é identificar as iniciativas estratégicas desenvolvidas por três cidades inteligentes líderes na América Latina do ponto de vista da governança inteligente e sua relação com os ODS, o que é útil porque contribui para ampliar nosso entendimento de governança inteligente a partir de experiências práticas.

Voice assistants (VAs) empower human–computer interactions by recognising human speech and implementing commands pronounced by users. This paper aims to investigate VA-enabled interactions between hotels and guests in the hospitality context. The research positions VAs within the artificial intelligence (AI)-enabled Internet of Things (IoT) context, disrupting old practices and processes. Smart hospitality uses VAs to support effortless value cocreation for guests cost-effectively. The research examines consumer perceptions and expectations of hospitality VAs and explores VA capabilities through expert technology providers.

This empirical paper investigates the current use and future implications of VAs for hotel environments. It uses qualitative, semi-structured in-depth interviews with 7 expert hospitality VA technology providers and 21 hotel guests who have VA experience. The research adopts a demand and supply approach, addressing the VAs in hospitality holistically.

The findings illustrate the requirements from both end-users’ sides, hotels and guests, exploring VA advantages and challenges. The analysis demonstrates that VAs increasingly become digital assistants. VA technology helps hotels to improve customer service, expand operational capability and reduce costs. Although in its infancy, VA technology has made progress towards optimising hotel operations and upgrading customer service. The study proposes a speech-enabled interactions model.

This research stimulates the transformation of hospitality services by using VAs and the development of smart hospitality and tourism ecosystems. The study can benefit from further research with hotel managers, to reflect hoteliers’ points of view and investigate their perception of VAs. Further research can also explore different aspects of consumer–VA interaction in different contexts.

The paper makes a significant contribution to hospitality management and human–computer interaction best practices. It supports technology providers to reconsider how to develop suitable technology solutions towards improving their strategic competitiveness. It also explains how to use VAs cost-effectively and profitably while adding value to travellers’ experience.

VA studies are often focussed on the technology in private households, rather than in commercial or hotel spaces. This paper contributes to the emerging literature on AI and IoT in smart hospitality and explores the acceptance and operationalisation of VAs. The research contributes to the conceptualisation of VA-enabled hotel services and explores positive and negative features, as well as future prospects.

语音（数码, 虚拟或者人工智能）(VAs) 助理能够识别真人声音和系统指令声音从而为人机互动提供助力。 本研究基于酒店业已有的案例探索了酒店和客人语言支持的互动的本质。本研究探索了关于客房服务的表现和实用性的顾客认知和顾客期望。

本研究借用了定性半结构化深入访谈来收集一手数据, 调查了酒店环境中的语音助理目前的运用情况和未来影响。本研究访谈了7位酒店科技服务提供者和21位有使用个人智能扬声器经验的酒店客人。本研究以供需模型来全方位解决此项问题。

研究结论强调了从双方使用者（酒店和客人）角度考量, 并且考虑到语音仪器带来的所有的优势和挑战的重要性。基于顾客之前对这些仪器的使用经验, 本论文深入阐述了对公共空间这些语音助理的使用功能。本分析证明了由AI技术支持下, VAs 可以灵活的识别语音。VAs理解词汇内容并且也懂得词汇作为数据助手来支持智能家庭的自动化以及履行商业职责背后的意义来。酒店从业人员可以尝试运用此科技来提高用户体验, 扩展运营空间和减少成本。从访谈的数据可以证明, 尽管还在初级阶段, VAs 科技已经对酒店运营优化和晋级客户服务做出了显著的贡献和成就。本研究提出了一项介于酒店和客人之间的VA 语言支持的互动模型。

之前的研究主要针对私人使用, 而不是商业或者酒店空间。考虑到敌对环境和客人和酒店的文化差异, 旅游和酒店成为了尤其有挑战性的领域。本研究通过语音识别革新了酒店服务。本研究针对VAs接受程度和运用进行详细研究从而为酒店领域的AI和IoT提供了专业文献。本文为酒店服务中的VAs使用做出了开拓性的调查并且探讨了正面以及负面的特征和未来展望。

本研究为酒店和旅游管理补充了文献, 尤其是在酒店业人机互动领域。本研究通过语音识别技术对酒店服务的转型革新做出贡献。此项研究可以受益于以酒店管理者为视角的进一步研究。相比于收集科技设备供应方的见解, 对酒店管理者进行访谈可以提供更直接的信息来了解酒店员工对数码语音助理和对语音科技的总体接受程度。

酒店经常寻求途径来提高和客户的互动。本论文对酒店管理和人机互动领域提供了应用典例。本研究提供了酒店客人针对语音设备功能性的总体评价作为有价值的信息, 进而帮助科技提供者来重新审视针对顾客需要从而量身定制服务的策略和方式。最终, 本研究在提高行业战略竞争力层面分享了关于发展和采用此项强大有力科技的见解。

The goals of the contemporary environment in this new era of the Internet of Things (IoT), digital technologies (DTs) and smartisation are to enhance economic, social and environmental sustainability while also concentrating on the citizens' quality of life. As these initiatives advance, more determination is required to offer effective approaches to the problem posed by the accomplishment of the Sustainable City Project in Nigeria as a developing nation. To address these problems and facilitate the process for Nigeria's major cities to become ‘smart cities’, universities, research institutions and other stakeholders must collaborate alongside. This chapter aims to establish a model or framework that addresses urban intelligence, social inclusion, resilience and technological innovation, mobility, urbanisation and residents' quality of life. The reviews of the characteristics and management of smart cities in developed countries were documented to serve as a comparison study of the cities in African sub-Saharan regions. This will assist in building models that can produce predictions about possible smart solutions in the areas of mobility, urban infrastructure and ecological problems brought on by climate change in African cities. This chapter brings attention to the body of knowledge by envisioning the benefits to the government and citizens in making appropriate decisions to enhance sustainable development, a better resilience environment, improved infrastructure, smart city environments and residents' quality of life. The study's implications centre on how the government could prioritise urban features and services as indicated in the smart cities framework.

This study aims to promote the idea that social equity is a significant objective that needs to be achieved to attain a smart city and further reveal the current research focus of smart city in relation to social equity. Also, it will propose determinants of social equity for smart city development.

The first part of this study was conducted by reviewing ten existing smart city models and assessing their elements, in a bid to find a relationship between the existing smart city models and social equity. These models were sorts from scholarly publications such as books, journals and other related articles sourced from google scholar and Scopus database. To give more credence to this study, a second aspect of this study was necessary; this was conducted using a bibliometric approach, and the data was gathered from the Scopus database. Keywords such as “smart-city” OR “Digital-city” OR “Intelligent-city” OR “Computer-city” OR “Technology-city” AND “Social-equity” were used for article extraction. VOSview was used to analyse the bibliographic data obtained.

This research revealed that studies that relate, link or discuss the idea that social equity is a significant objective that needs to be achieved to attain a smart city are low considering that only 48 articles were extracted, and most of the studies did not specifically focus on social equity in smart city development. Further findings revealed that the ten reviewed smart city models never linked or discussed the idea of social equity in smart city development. Additionally, this study revealed that emerging countries aiming to develop smart cities, particularly in Africa, are not paying much attention to the importance of creating social equity policies to attain smart cities.

This study revealed a knowledge gap in the study of smart cities in developing countries. Governments of various developing countries can implement the ideas from this study by creating and applying social equity policies to drive sustainable development, which will positively influence smart city attainment.

The contribution of this study is that it promotes the idea that social equity is a significant objective that needs to be achieved to attain smart cities. This study’s further originality and value lie in adopting a bibliometric approach of analysis that has not been used in this form in previous studies.

This paper aims to make a systematic study on the factors that hinder the development of China’s intelligent automobile manufacturing industry; based on comprehensive understanding of these obstacles and by optimization means, ultimately, the healthy and sustainable development of intelligent automobile manufacturing industry in China can be promoted.

Based on a questionnaire survey of intelligent automobile manufacturing listed companies in China, first, fuzzy semantic scale was adopted to collect respondents’ choices, the fuzzy score function is used to calculate the fuzzy score value and these data are used as the basis for subsequent model analysis. Then, structural equation modeling (SEM) was adopted to analyze the causal relationship between influencing factors to explore the main hinder factors.

It is found that, in the short term, the backwardness of technological industrialization is the main reason leading to low permeability of intelligent automobile; in the medium term, the imperfect industrial R&D ability and the insufficiency of infrastructure are major causes for high manufacturing cost and low competitiveness of intelligent automobile manufacturing industry; in the long term, the lack of national policy and industrial strategic planning is the main factors affect intelligent automobile manufacturing cost and the industry competitiveness.

The research conclusion has important policy implications for promoting intelligent automobile manufacturing sustainable development. In recent years, China’s intelligent automobile manufacturing industry has gradually stepped out of breeding period; therefore, the role of government should be gradually transformed from participants to managers and regulators. Considering the fact that intelligent automobile cost is very high, and still higher than the cost of fuel vehicle, government should focus on the issues such as improving R&D capabilities, infrastructure construction, policy framework system, legal system and technological industrialization. Specifically, in short-term planning, improving technological industrialization level is the key to development; in medium-term planning, policymakers should focus on the improvement of R&D capabilities and infrastructure; considering the long-term development, establishing appropriate national policies and dealing with the adverse impact of imperfect strategic planning are the most sensible choice.

This paper analyzes the factors that hinder the development of China’s intelligent automobile manufacturing industry for the first time, and provides the basic logic of integration factors at different levels with the development of intelligent automobile to reveal the uniqueness and facts of China’s economic development.

Autonomous ports and digital ports are a modern trend of global commercial ports that are established to develop toward smart ports in many ports. Smart port indicators (SPIs) are used as important tools for measuring, encouraging, and indicating smart port performance. These are the main indicators to operate smart port management as the practical direction and port development planning are enclosed. This research aims to identify the SPIs and to develop a conceptual model of smart port performance in a case study of The Eastern Economic Corridor (EEC) in Thailand. Triangulation data are used in the data collection with three sources: the reviewed literature of five international databases in 2016–2021, participant observations, and in-depth interviews. Content analysis is utilized to analyze these data to develop a conceptual model approach. The findings of this research are shown in three main domains classified as smart port operation, smart port environment/energy, and smart port safety/security. These indicators represent 29 SPIs for developing smart port performance, which can be explained with a conceptual model. This information will exist as the foundation framework guiding Thai smart ports towards international standards of smart port efficiency.

Observes that the provision of intelligent control is seen as the logical extension of existing seat‐belt and airbag systems for passenger vehicles to optimize secondary safety performance. Demonstrates the need for discrete information about the driver/passenger in the vehicle in order to provide optimal control of seat‐belt pre‐tensioning; seat‐belt reel‐out (post‐crash pulse); and air bag inflation timing and/or rate. Finds, from system modelling and statistical crash data, that such information as occupant mass and position with respect to vehicle interior and steering wheel are important parameters in the optimal control of the above integrated systems. Justifies these needs and shows that the design of a Smart Seat provides the necessary data. Explains that the design incorporates sensor systems, using a Mechatronic integrated approach.

The paper presents a research methodology that could be used to carry out a systematic literature review on the current state of the art of the technological development in the field of the digitalization and unphysicalization of supply chains (SCs). A three-dimensional conceptual framework focusing on the relationship between Digital Technologies (DTs), business processes and SC performance is presented. The study identifies the emerging practices and areas of SC management that could be positively affected by the implementation of DTs. With this in mind, the emerging practices have a high probability to be considered future best practices.

A systematic literature review was conducted on DTs in SC management. The methodology used aims to algorithmically and objectively standardize the information incorporated into thousands of scientific documents. Selected papers were analyzed to investigate the recent literature on SC digitalization and unphysicalization. A total of 87 DTs were selected to be analyzed and subsequently grouped into 11 macro-categories. 17 business processes linked to SC management are taken into account and 17 different impacts on SC management are presented. From a set of 1,585 papers, 5,060 emerging practices were collected and singularly summarized combining DT, business process and impact on SC performance.

A unique analytical perspective provided represents an important evolution when trying to organize the current literature on SC management. The widely used DTs in the practices and the most considered business processes and impacts are highlighted and described. The three-dimensional conceptual framework is graphically represented to allow for the emergence of the best combinations of DT, business process and impact on SC performance. These combinations suggest the most promising areas for the implementation of the emerging practices for SC digitalization and unphysicalization. Additional findings identify and define the most important contexts in which Big Data contributes to SC performance.

The research methodology used is offering progress through which to systemize the current practices as well as detect the potential of digitalization and unphysicalization under the three-dimensional conceptual framework. The paper provides a structured proposal for promising future research directions, assuming that the five research gaps as findings of this research could be the basis for prescriptions, as well as a future research agenda and theory development. Moreover, this research contributes to current managerial issues concerning SC management, referred to data and information management, efficiency and productivity of SC processes, market performance, SC relationship management and risk management in SC.