Smart Technology for Smart Response During Pandemic Times

2022 ◽  
pp. 261-278

The formal response to COVID-19 through ICT is presented with a focus on testing COVID-19, ICTs and tracking COVID-19, ICTs and COVID-19 treatment, and policies and strategies. The chapter highlights the critical role of ICTs and e-government for technologies to fight coronavirus. It covers delivery of remote learning, ICT trends, artificial intelligence (AI), and big data in fighting the pandemic, in addition to social media application for awareness of citizens such as emergencies, protection, and pandemic news. The notion of developing an information and communication strategy for redesigning smart city transformation in a pandemic is highlighted.

Author(s):  
Myriam Ertz ◽  
Émilie Boily

The collaborative economy (CE) involves an intensification of direct or intermediated peer-to-peer trade, underpinned by robust digital infrastructures and processes, hence an increased use of new technologies and a redefinition of business activities. As an inherently connected economy, the CE is, therefore, prone to integrating the most recent technological advances including artificial intelligence, big data analysis, augmented reality, the smart grid, and blockchain technology. As an innovative payment and finance technology, the blockchain and cryptocurrencies could have potential implications for the CE. This chapter consists of a conceptual review analyzing how the CE connects with the blockchain technology. The chapter presents subsequently the organizational and managerial implications related to the use of blockchain technology in terms of governance, transaction costs, and user confidence. An illustrative case further examines the role of a prominent social media in the CE-blockchain nexus.


Urban Studies ◽  
2021 ◽  
pp. 004209802110140
Author(s):  
Sarah Barns

This commentary interrogates what it means for routine urban behaviours to now be replicating themselves computationally. The emergence of autonomous or artificial intelligence points to the powerful role of big data in the city, as increasingly powerful computational models are now capable of replicating and reproducing existing spatial patterns and activities. I discuss these emergent urban systems of learned or trained intelligence as being at once radical and routine. Just as the material and behavioural conditions that give rise to urban big data demand attention, so do the generative design principles of data-driven models of urban behaviour, as they are increasingly put to use in the production of replicable, autonomous urban futures.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Purvendu Sharma

PurposeThe present research aims to introduce and understand the promising nature of destination evangelism in the context of social media-based tourism communities (SMTCs). Further, factors that influence evangelism and information-seeking behaviors on SMTCs are examined.Design/methodology/approachA conceptual model is developed that features an interplay of destination distinctiveness, destination evangelism, travel commitment and information-seeking engagement. Data were collected from 215 active users of SMTCs and analyzed using structural equation models.FindingsThe research findings indicate that destination distinctiveness and information-seeking positively lead to destination evangelism. Information-seeking is found to mediate the relationship between (1) destination evangelism and travel commitment and (2) destination evangelism and distinctiveness.Research limitations/implicationsThe research offers meaningful insights into exploring constituents of destination evangelism. The research also understands and highlights the critical role of information-seeking engagement about distinct destinations.Practical implicationsThis research highlights key areas to build, improve and inspire destination evangelism on SMTCs.Originality/valueThis study offers a fresh contribution to tourism literature by investigating destination evangelism and its drivers. This is explained by closely uniting vital research streams of evangelism, tourism and engagement. It further highlights the dual mediating role of information seeking, suggesting that these engagements are critical to evangelizing destinations.


Author(s):  
Reza Yogaswara

Artificial Intelligence (AI) atau kecerdasan buatan menjadi penggerak revolusi industri 4.0 yang menjanjikan banyak kemudahan bagi sektor pemerintah maupun industri. Internet of Things (IoT) dan big data contohnya dimana AI dapat diimplementasikan, teknologi yang telah banyak diadopsi di era industri 4.0 ini mampu menghubungkan setiap perangkat, seseorang dapat mengotomatisasi semua perangkat tanpa harus berada di lokasi, lebih dari itu, saat ini telah banyak mesin yang dapat menginterprestasi suatu kondisi atau kejadian tertentu dengan bantuan AI, sebagaimana telah kamera cerdas pendeteksi kepadatan volume kendaraan di jalan raya menggunakan teknologi Deep Learning Neural Network, yang telah diimplementasikan pada beberapa Pemerintah Daerah Kabupaten dan Kota dalam mendukung program Smart City yang telah dicanangkan. Pada sektor industri, banyak juga dari mereka yang telah mengotomatisasi mesin produksi dan manufaktur menggunakan robot dan Artificial Intelligence, sehingga Industri 4.0 akan meningkatkan daya saing melalui perangkat cerdas, setiap entitas yang mampu menguasai teknologi ini disitulah keunggulan kompetitifnya (competitive advantage). Namun ditengah perkembangan industri 4.0 yang cukup masif pemerintah harus bergerak cepat dalam mengadopsi platform ini, jika tidak, mereka akan menurunkan efisiensi proses bisnis untuk menjaga stabilitas layanan publik. Oleh sebab itu diperlukan keilmuan dan pemahaman yang benar bagi pemerintah dalam menghadapai era Industri 4.0, dimana Chief Information Officer (CIO) dapat mengambil peranan penting dalam memberikan dukungan yang didasari atas keilmuan mereka terkait tren teknologi industri 4.0, khususnya AI yang telah banyak diadopsi di berbagai sektor.


2021 ◽  
Vol 9 ◽  
Author(s):  
Debanjan Banerjee ◽  
K. S. Meena

The Coronavirus disease 2019 (COVID-19) pandemic has emerged as a significant and global public health crisis. Besides the rising number of cases and fatalities, the outbreak has also affected economies, employment and policies alike. As billions are being isolated at their homes to contain the infection, the uncertainty gives rise to mass hysteria and panic. Amidst this, there has been a hidden epidemic of “information” that makes COVID-19 stand out as a “digital infodemic” from the earlier outbreaks. Repeated and detailed content about the virus, geographical statistics, and multiple sources of information can all lead to chronic stress and confusion at times of crisis. Added to this is the plethora of misinformation, rumor and conspiracy theories circulating every day. With increased digitalization, media penetration has increased with a more significant number of people aiding in the “information pollution.” In this article, we glance at the unique evolution of COVID-19 as an “infodemic” in the hands of social media and the impact it had on its spread and public reaction. We then look at the ways forward in which the role of social media (as well as other digital platforms) can be integrated into social and public health, for a better symbiosis, “digital balance” and pandemic preparedness for the ongoing crisis and the future.


This presented review paper encompasses all the ongoing trends of the Artificial Intelligence. This review evaluates the possibilities of Artificial Intelligence (AI) in social media marketing. This review paper aims to study the potential of AI in the social media marketing. This review paper fulfils the objectives of simulation of AI in the business organisations to enhance marketing which will in return increase sales. The paper aims examines the possibilities and strengths of AI. This review paper will explore the intervention of AI into marketing arena. The review flows from the general to specific. It evaluates the effect of AI on both the society as a whole and also specifically on the business organisation. It assesses the effect of AI on both the Social media and the business.


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