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The tourism and hospitality sector in twenty-first century becomes technology driven. Technology application in those sectors is strategic and demand driven. It facilitates tourism and hospitality marketing; destination promotion and imaging makes the services innovative, turns the interaction between industry and its consumers better than ever before, and enables the industry to cope with neo-competitive environment. Changes occur too in tourists’ demand, choices, and consumption patterns with the advent of e-mobility. Thus shifts within the paradigm of tourism and hospitality practices are perceived overtly. This chapter will study the expanse of technology application within those sectors, endeavour to develop a conceptual frame; and review the shifts and impacts that appear out of technology and those sectors interactions.

Information technology (IT) has become a strategic weapon on tourism products’ identification, presentation, dissemination and getting a sustainable competitive advantage. Tourism management is the most important candidate for using IT with the need for gathering information in large quantities and diffusion of tourism management. The heterogeneous nature of these businesses means that information-communication Technologies’ uses change from sector to sector and from management to management in the tourism sector. The development of IT has created new application areas for tourism industry managers especially in efficient cooperation and provided tools for real globalization, IT is unexpectedly part of tourism management because of information creation processing and transmission which are important in daily activities. Therefore, both rapid development of tourism demand and tourism supply have become a compulsory partner of IT; and for this reason, IT plays an important role in the tourism marketing, distribution, promotion, and coordination. Due to this importance; the impact of IT on tourism sector is valued to be investigated. This chapter stresses that IT’s uses play an efficient role in choosing the management on behalf of the consumer. Within this context, this chapter composes of the information society; IT development and tourism; the usage of IT on travel, hospitality, tourism sector, its challenges, and advantages. This chapter mostly emphasizes on these subjects that will be examined deeply.

The investment development path of emerging markets’ MNEs is significantly different from the developed (TRIAD) world’s MNEs; BRIC MNEs seem to have taken a different trajectory on account of various political and economic reasons, ranging from the ‘forms of entry’ to ‘country-specific advantages’ (Tulder, R. V. (2010). Toward a renewed stages theory for BRIC multinational enterprises? A home country bargaining approach. In K. P. Sauvant, G. McAllister, & W. A. Maschek (Eds.), Foreign direct investments from emerging markets: The challenges ahead (pp. 61–74). New York, NY: Palgrave Macmillan). Yet, some believe that in the long run the internationalization strategy of the developed world MNEs and BRIC MNEs will converge. Internationalization strategies as measured by OFDI depend on various macroeconomic determinants such as income, interest rate, openness of the economy, etc. The chapter intend to highlight, the significant difference between these two groups of countries on account of diverse political reforms towards internalization of firms, yet see if these different countries might converge.

Regression analysis examines the significance of the role of home government by testing the effect of governance indicators; that is voice and accountability, on OFDI. It further, tests for convergence of internationalization strategies of the two historically divergent groups, also, it tests convergence amongst the BRIC nations. Along with forecasting, time series analysis is also employed to examine convergence using univariate sigma convergence techniques.

Impact of voice and accountability is significant but it hinders OFDI for BRIC nations, while it promotes OFDI for TRIAD & ALL. Moreover, the analysis found the existence of convergence, that is BRIC will catch up with TRIAD, but though convergence exists amongst BRIC if we take a long span of time (45 years), it is absent in short span of time (19 years), as lately BRIC have shown divergent tendency.

Small sample size in multivariate regression analysis. Also, the governance indicator, that is voice and accountability, is perception based, and missing gaps in data for governance indicator is filled using interpolation.

Empirically testing the convergence of BRIC nations with the developed world. A univariate time series analysis is undertaken to understand each country’s heterogeneous FDI outflows and to address the research gap in existing forecasting literature. In addition, the comparison specifically between the Emerging Market Economies, that is the BRIC nations and the developed world gives some useful insights. This chapter ascertains the impact of governance indicator on OFDI; empirical literature shows such analysis for IFDI & FDI, but OFDI is rarely been dealt with.

The performance of thermal comfort utilising machine learning and its acceptability by students and other users at the Professor Sir Edouard Lim Fat Engineering Tower at the University of Mauritius are evaluated in this study. Students and building occupants were asked to fill out surveys on-site as data was gathered from sensors throughout the structure. The Thermal Sensation Vote (TSV) and other important data were collected through the surveys, including the effect of wind on thermal comfort. An adaptive model incorporating solar and wind effects was evaluated using multiple linear regression techniques and RStudio. Three models were used to evaluate thermal comfort, including the adaptive one. Numerous models were compared and evaluated in order to select the best one. It was found that the adaptive model (Model 1) was deemed to be the best model for its application. It was also found that Fanger's PMV/PPD (Model 2) was a very good approach to determining thermal comfort. Through thorough analysis, it was concluded that the range of air temperature and wind speed for thermal comfort was 25.830°C–28.0°C and 0.26 m/s to 0.42 m/s, respectively. In order for cities to remain secure, resilient and sustainable, it will be important to manage thermal comfort and reduce populations' exposure to heat stress (SDG 11). The achievement of income and productivity goals will be hampered if measures to protect populations from heat stress are not taken (SDG 8). Thermal regulation is also necessary for the provision of numerous health services (SDG 3).

Today's marketing is dominated by decision-making based on artificial intelligence and machine learning. This study focuses on one semi- and unsupervised machine learning technique, generative adversarial networks (GANs). GANs are a type of deep learning architecture capable of generating new data similar to the training data that were used to train it, and thus, it is designed to learn a generative model that can produce new samples. GANs have been used in multiple marketing areas, especially in creating images and video and providing customized consumer contents. Through providing a holistic picture of GANs, including its advantage, disadvantage, ethical considerations, and its current application, the study attempts to provide business some strategical orientations, including formulating strong marketing positioning, creating consumer lifetime values, and delivering desired marketing tactics in product, promotion, pricing, and distribution channel. Through using GANs, marketers will create unique experiences for consumers, build strategic focus, and gain competitive advantages. This study is an original endeavor in discussing GANs in marketing, offering fresh insights in this research topic.

Introduction: With many new technologies requiring real-time data processing, cloud computing has become challenging to implement due to high bandwidth and high latency requirements.

Purpose: To overcome this issue, edge computing is used to process data at the network’s edge. Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed. It is used to process time-sensitive data.

Methodology: The authors implemented the model using Linux Foundation’s open-source platform EdgeX Foundry to create an edge-computing device. The model involved getting data from an on-board sensor (on-board diagnostics (OBD-II)) and the GPS sensor of a car. The data are then observed and computed to the EdgeX server. The single server will send data to serve three real-life internet of things (IoT) use cases: auto insurance, supporting a smart city, and building a personal driving record.

Findings: The main aim of this model is to illustrate how edge computing can improve both latency and bandwidth usage needed for real-world IoT applications.

The research question is how home country corruption and nationalism may affect operations of BRIC multinational enterprises. BRIC composition permits a comparison of two authoritarian regimes and two constitutional democracies. Each BRIC features a different combination of corruption and nationalism. The chapter adds South Africa information for two limited reasons. First, from 2010 South Africa is a member of the BRIC summit process. South Africa is an important entry point to Africa, for BRIC multinationals and particularly for China. Second, concerning corruption and nationalism South Africa is analytically useful as a control context that helps illustrate but does not appear to change highly exploratory BRIC findings.

The chapter draws on limited literature and information concerning corruption and nationalism in BRICs to suggest tentative possibilities. Transparency International provides bribe payers index estimates for 28 large economies, with important multinational enterprises, and corruption perceptions index estimates including those 28 countries. These estimates include the four BRICs and South Africa. The available sources suggest some suggested findings about varying impacts of home country corruption and nationalism on operations of BRIC multinationals.

China and Russia are authoritarian regimes in transition from central planning-oriented communist regimes. They are global military powers, expanding influence in their respective regions. Brazil, India, and South Africa are constitutional democracies. India, a nuclear-armed military power, seeks a regional leadership role in South Asia. Brazil and South Africa are key countries economically in their regions. BRIC multinationals are positioned between home country and host country conditions. Chinese and Russian multinationals may reflect a stronger nationalistic tendency due to home country regimes and ownership structure.

The chapter is an original but highly exploratory inquiry into impacts of corruption and nationalism on BRIC multinationals. Extant BRIC literature tends to understudy effects of home country corruption and nationalism on managerial mindset and incentives in either commercial or state-owned enterprises.

Neuromarketing is a marketing communication field that applies neuroscience and physiological research tools to study consumer behavior toward stimuli, viz., ads and brands. This study aims to assess research trends in the neuromarketing field on the most influential journals, authorships, countries, citations and co-occurrences. The Scopus database is used to analyze identified articles from 2013 to 2022 and for the eligible research articles, a “systematic methodological review” (SMR) on consumer behavior through neuromarketing approach was done. “Visualization of Science (VOS)” viewer and “Biblioshiny” by R-studio software have been used for mapping the keyword analysis, co-citation analysis and author occurrence analysis. It was further found that of the top 10 academic institutions, the list is dominated by the six Asian institutions. It was further witnessed that journal “Physiology and Behavior” is trending as the most dedicated and emerging journals on neuromarketing and consumer behavior. Asian nations such as Bangladesh, China, India, Indonesia, etc., are turning out to be an emerging collaborators and publishers in this niche area of research, thereby giving tough competition to most developed countries. The findings of the thematic mapping show that neuromarketing is itself a very novel and newest area of study and topics such as “human marketing,” “neuromarketing,” “consumer behavior” and “electroencephalography” are new dimensions that can be looked upon in future.

Throughout history, enterprises have tried to survive by competing in a dynamic environment. This competition has currently been to be more severe more in the age of Industry 4.0 due to modern automation systems, production technologies, and data exchanges. Today’s high technology and speed environment changes have created volatility, uncertainty, complexity, and ambiguity (VUCA) for almost all companies. To be able to cope with these environmental conditions, they have to be more dynamic, have more flexible and agile abilities. Not only it is not enough to have these abilities but also they need to use these abilities effectively. As to usage of these capabilities, it depends on organizational structure that have been built by considering several situational factors such as technology, technological change, innovation, and environmental instability. Organizational structure is a very important variable to increase the performance of the organization and to gain competitive advantage over enterprises’ competitors. In order that this study is guide for practitioners, it has been tried to explain the linkages among VUCA World, organizational structure and competitive advantage. Also, suggestions have been offered them to build their organization structure in order to be competitive by gaining success in three platforms called human resources, knowledge, and technology.