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Contemporary cities are the subject of new forms of visualization that are not only changing how we see the urban world but how it operates as a social environment. This chapter explores Google's Street View database and the Google Maps platform as sites for the production of distinctive new streams of visual data about cities around the world. I argue that this kind of digital infrastructure presents urban researchers with both new opportunities and new challenges, raising complex questions about the role of visual images in the context of the ongoing transition to a digital, computational, and networked image world.

The purpose of this study is to analyze the technological change under development linked to the convergence of the Internet of Things (IoT) and digital transformation (DT) from the perspective of a scientific mapping in a context marked by the occurrence of an unexpected event that accelerated this process such as the SARS-CoV-2 pandemic and its variants.

The study was developed under the longitudinal scientific mapping approach and considered the period 1990–2021 using as a basis the descriptors DT and IoT. The steps followed were identification and selection of keywords; design and application of an algorithm to identify these selected keywords in titles, abstracts and keywords using terms in Web of Science (WoS) to contrast them; and performing a data processing based on the journals in the Journal Citation Report during 2022. The longitudinal study uses scientific mapping to analyze the evolution of the scientific literature that seeks to understand the acceleration in the integration of technology and its impact on the human factor, processes and organizational culture.

This study showed that the technologies converging around IoT form the basis of the main DT processes being experienced on a global scale; furthermore, it was shown that the pandemic accelerated the convergence and application of new technologies to support the major changes required for a world with new needs. Finally, China and the USA differ significantly in the production of scientific knowledge with respect to the first eight followers.

The knowledge gap addressed by this study is to identify the production of scientific knowledge related to IoT and its impact on DT processes at the scale of individuals, organizations and the new way of delivering value to society. This knowledge about researchers, institutions, countries and the derivation is multiple indicators allows improving decision-making at multiple scales on these issues.

Discussions about digital tourism continue to increase among scholars as Information Communication and Technology (ICT) infrastructure develops. Dynamic changes due to technological aspects have given rise to various developments in the tourism industry. Therefore, this study aims to evaluate the scientific structure of the development of digital tourism topics through a bibliometric analysis approach. In total, 102 publications from research on digital tourism were taken from Scopus database between 2001 and 2021, for further bibliometric analysis using the VOSviewer application. Interesting findings describe the most cited digital tourism publications, the contribution of digital tourism by various authors, institutions, countries, co-citation analysis, bibliographic coupling, and co-occurrence for the main trends of digital tourism. This study compiles a detailed review of digital tourism research. This article adds substantial value to the digital tourism topic by analyzing bibliometric data. It provided scientific information regarding digital tourism for other researchers and future research.

The work connects classic theories of selfing to the COVID-19 pandemic to make fresh connections between pandemic-induced trauma to the self and digital resources. This research introduces the concept of the “traumatized self” emerging from the COVID-19 pandemic in relation to digital disadvantage and digital hyperconnectivity. From Cooley’s original “looking glass self” to Wellman’s “hyperconnected” individualist self, social theories of identity work, and production of the self have a long and interdisciplinary history. In documenting this history, the discussion outlines key foci in the theorizing of the digital self by mapping how digital selfing and identity work have been treated from the inception of the internet to the epoch of the pandemic. The work charts the evolution of the digital selfing project from key theoretical perspectives, including postmodernism, symbolic interactionism, and dramaturgy. Putting these approaches in dialogue with the traumatized self, this research makes a novel contribution by introducing the concept of digitally differentiated trauma, which scholars can employ to better understand selfing processes in such circumstances and times.

Deglobalization and the coronavirus disease 2019 (COVID-19) pandemic have severely hindered multinational enterprise (MNE) investment. At the same time, digital technology is seriously challenging it with traditional production factor flows. Few studies have realized that the impact of digitalization is not limited to either transaction costs or the location-boundness of firm-specific advantages (FSAs), but extends to profound changes in the fundamental essence of MNEs. There is still limited understanding of this body of knowledge as a whole, including how its subtopics are interrelated. This study took the production factor change perspective to review MNE theory in the digital era. Therefore, this study aims to identify any upcoming and undeveloped themes in order to provide a platform suited to direct future research.

This paper presents a summary and a review of 151 articles published between 2007 and 2020. Such review was conducted to systematically explain the connotations and influential mechanisms of digital empowerment on MNE theory. This was achieved by using the CiteSpace citation visualization tool to build a keyword co-occurrence network.

The research findings pertain to how digitalization expands, breaks through, and even reshapes traditional MNE theory from four distinctive angles: the influential factors of internationalization, the process of internationalization, competitive advantage, and location choice. The findings are followed by the presentation of future research directions.

This paper presents an examination of MNE theory in the digital era from the perspective of production factor change. In doing so, it identifies significant theoretical innovation opportunities for future scholarly research priorities.

Digitization is the process of transforming analog systems into digital ones, and it has become a crucial factor in the sustainable development of emerging economies. Although implementing digitization may be challenging due to limited budgets, missing strategies, pushback from employees, and the existing organizational structure, it can bring multifaceted benefits to the economy, such as improved employment and income, enhanced access to knowledge and education, and reduced costs for companies and countries. Moreover, digitization can significantly impact economic growth, as it can create new job opportunities, foster innovation, and improve infrastructure, among other benefits. The United Nations Sustainable Development Goals (SDGs) provide a global agenda for creating a more sustainable, equitable, and prosperous future by 2030, and digital technologies have become increasingly important in addressing the challenges of achieving these goals, particularly for emerging economies. However, achieving these ambitious goals presents significant challenges, particularly for emerging economies. Hence, this literature review aims to discuss the potential impact of digital technologies on the implementation of the SDGs in emerging economies, supported by scholarly research and opinions. In conclusion, digital technologies have significant potential to contribute to the achievement of the SDGs by promoting economic growth and innovation while also promoting sustainability, creating a more prosperous and equitable world for all.

The digital platform (DP) develops through a network capability that combines technological infrastructure and resources to provide goods or services. This article investigates how institutions influence the development of the DP entrepreneurship ecosystem (EE) in a developing economy context.

An exploratory qualitative approach based on interviews with 33 DP business executives in Nigeria was the chosen research method. The interview method took the form of face-to-face, telephone and zoom video meetings, depending on the respective preferences of the participants. The research philosophy is based on interpretivism. Hence, the collected data were analyzed thematically and interpreted to make sense of the business executives' perspectives about the DP landscape as well as its institutional enablers and barriers.

The findings reveal institutional elements that are either too underdeveloped or weak to nurture an effective DP system resulting in high cost of doing business. A key cultural challenge is obtaining an honest workforce and managers. Also, there is lack of effective policies, weak regulation, multiple taxation and foreign competition, which affects local digital firms. Although cultural diversity has several merits, differences in cultural values and languages create marketing and promotion challenges. Moreover, the low level of digital literacy between Generation Z, Millennials and others, such as Baby Boomers and Generation X, poses a significant challenge concerning customer segmentation.

Research on digital technologies, the complexity of platform architectures and institutional logic has attracted interest in recent years. This article explored the institutional logic influencing the development of DP ecosystem (providing knowledge about EE in a developing world context). Despite the institutional challenges, there are multiple opportunities for Nigerian DP sector to flourish in the fast-growing economy.

The value of this article is related to how micro-, meso- and macro-institutional forces combine to support or become barriers to the development of the DP ecosystem, especially in developing economies where digitalization is creeping into every business sector and society.

Using a real-time road network combined with historical traffic data for Al-Salt city, the paper aims to propose a new federated genetic algorithm (GA)-based optimization technique to solve the dynamic vehicle routing problem. Using a GA solver, the estimated routing time for 300 chromosomes (routes) was the shortest and most efficient over 30 generations.

In transportation systems, the objective of route planning techniques has been revised from focusing on road directors to road users. As a result, the new transportation systems use advanced technologies to support drivers and provide them with the road information they need and the services they require to reduce traffic congestion and improve routing problems. In recent decades, numerous studies have been conducted on how to find an efficient and suitable route for vehicles, known as the vehicle routing problem (VRP). To identify the best route, VRP uses real-time information-acquired geographical information systems (GIS) tools.

This study aims to develop a route planning tool using ArcGIS network analyst to enhance both cost and service quality measures, taking into account several factors to determine the best route based on the users’ preferences.

Furthermore, developing a route planning tool using ArcGIS network analyst to enhance both cost and service quality measures, taking into account several factors to determine the best route based on the users’ preferences. An adaptive genetic algorithm (GA) is used to determine the optimal time route, taking into account factors that affect vehicle arrival times and cause delays. In addition, ArcGIS' Network Analyst tool is used to determine the best route based on the user's preferences using a real-time map.