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The international tourism options have been enriched due to several factors: new transport technology, more flexible legislation, the globalization process, and political openness regarding some areas dominated by dictatorship regimes. Antarctica is one of the new possibilities for adventure and ecological travel. It is the wildest, most well‐preserved and most isolated continent on the planet. About 10,000 tourists can appreciate its dazzling landscapes each austral summer and tourism operations have increased considerably in the region during the 1990s. This article presents a history of travel to Antarctica, an analysis of the tour operators and of the Antarctic Treaty on tourism, and reports an experience on board one of the cruise ships in the Antarctica Peninsula.

The purpose of this paper is to provide insight into various swarm intelligence-based routing protocols for Internet of Things (IoT), which are currently available for the Mobile Ad-hoc networks (MANETs) and wireless sensor networks (WSNs). There are several issues which are limiting the growth of IoT. These include privacy, security, reliability, link failures, routing, heterogeneity, etc. The routing issues of MANETs and WSNs impose almost the same requirements for IoT routing mechanism. The recent work of worldwide researchers is focused on this area.

The paper provides the literature review for various standard routing protocols. The different comparative analysis of the routing protocols is done. The paper surveys various routing protocols available for the seamless connectivity of things in IoT. Various features, advantages and challenges of the said protocols are discussed. The protocols are based on the principles of swarm intelligence. Swarm intelligence is applied to achieve optimality and efficiency in solving the complex, multi-hop and dynamic requirements of the wireless networks. The application of the ant colony optimization technique tries to provide answers to many routing issues.

Using the swarm intelligence and ant colony optimization principles, it has been seen that the protocols’ efficiency definitely increases and also provides more scope for the development of more robust, reliable and efficient routing protocols for the IoT.

The existing protocols do not solve all reliability issues and efficient routing is still not achieved completely. As of now no techniques or protocols are efficient enough to cover all the issues and provide the solution. There is a need to develop new protocols for the communication which will cater to all these needs. Efficient and scalable routing protocols adaptable to different scenarios and network size variation capable to find optimal routes are required.

The various routing protocols are discussed and there is also an introduction to new parameters which can strengthen the protocols. This can lead to encouragement of readers, as well as researchers, to analyze and develop new routing algorithms.

The paper provides better understanding of the various routing protocols and provides better comparative analysis for the use of swarm-based research methodology in the development of routing algorithms exclusively for the IoT.

This is a review paper which discusses the various routing protocols available for MANETs and WSNs and provides the groundwork for the development of new intelligent routing protocols for IoT.

The purpose of this article is to analyze the optimization process in depth, elaborating on the components of the entire process and the techniques used. Researchers have been drawn to the expanding trend of optimization since the turn of the century. The rate of research can be used to measure the progress and increase of this optimization procedure. This study is phenomenal to understand the optimization process and different algorithms in addition to their application by keeping in mind the current computational power that has increased the implementation for several engineering applications.

Two-dimensional analysis has been carried out for the optimization process and its approaches to addressing optimization problems, i.e. computational power has increased the implementation. The first section focuses on a thorough examination of the optimization process, its objectives and the development of processes. Second, techniques of the optimization process have been evaluated, as well as some new ones that have emerged to overcome the above-mentioned problems.

This paper provided detailed knowledge of optimization, several approaches and their applications in civil engineering, i.e. structural, geotechnical, hydraulic, transportation and many more. This research provided tremendous emerging techniques, where the lack of exploratory studies is to be approached soon.

Optimization processes have been studied for a very long time, in engineering, but the current computational power has increased the implementation for several engineering applications. Besides that, different techniques and their prediction modes often require high computational strength, such parameters can be mitigated with the use of different techniques to reduce computational cost and increase accuracy.

In this chapter, we explore whether various true, endogenous social cycle theories share common patterns and characteristics.

We examine a number of prominent social theories describing cyclical patterns, and attempt to abstract an ideal type common to all of them, based on the idea of two populations disrupting each other and adjusting to the other’s disruptions.

At the core of such theories we typically find a variation of a two-population model. In these theories, cycles emerge when one of the populations seems to disrupt the other population’s plans, leading to recurring adjustments and disruptions that constitute the cycle.

Finding such commonalities in the world of theories can be useful for several reasons. For one thing, noticing that two theories share certain traits may help us understand each of them better. Furthermore, we show that agent-based modelers using modern object-oriented programming techniques can benefit from finding common patterns in theories.

This paper seeks to use actor network theory (ANT) to examine the different phases – i.e. translation process – of an information and communication technology (ICT) initiative intended to bring development to underserved rural communities in the Peruvian Andes by providing access to computers and the internet.

The paper employs a holistic‐multiple case study based on cross‐sectional data collected between July and November 2005 by means of in‐depth interviews, field notes and photographs gathered in eight rural communities in Peru, plus demographic data and background reports obtained from the sponsor of an ICT for development (ICT4D) project. The collected data are analysed through the lens of ANT.

The ANT analysis dissects the history of the translations of the ICT4D project. ANT analytic dimensions of convergence and devices afford a great deal of insight into the underlying anatomy of the project and its assumptions. The study shows that when actors' interests are not aligned and the network procedures defined by the ICT4D initiative sponsors are unfamiliar to local people, the network cannot be established.

Since ICT4D projects invariably superimpose technological networks over existing networks, ANT analytic dimensions do provide some unique and useful understandings for such projects. ANT overall affords visibility of the actions of both humans and non‐humans, and their disparate goals. The focus on the alignment of disparate goals is particularly important in ICT4D research, where the recipients need to be engaged in a different way. Often in ICT4D projects, participants are using ICT for the first time, and there is no compulsion for them to do so. So the process of translation is very important in an ICT4D context; while there are many ways to engage participants, ANT gives particular insight into how that process might play out.

The paper demonstrates the usefulness of ANT's concepts for analysing a rural telecentre project and itemises how the use of each ANT analytical concept might contribute to ICT4D research.

This interview introduces the concept of the “AI first company”, a new breed of organization that is transforming the economy and defining the emergence of a new age.

An interview with Harvard digital strategy experts, Marco Iansiti and Karim Lakhani, about their new book, Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Marco Iansiti is the David Sarnoff Professor of Business Administration at Harvard Business School (HBS) and heads the school’s Technology and Operations Management Unit and the Digital Initiative. Karim R. Lakhani is the Charles E. Wilson Professor of Business Administration at HBS, and the founder and co-director of the Laboratory for Innovation Science and co-founder of the Digital Initiative at Harvard. 10; 10;The authors were interviewed by Brian Leavy, emeritus professor of strategy at Dublin City University Business School and a Strategy & Leadership contributing editor.

Digital transformation is not about creating a digital function or spinning off a digital unit, it’s about fundamentally restructuring the core of the firm by building a data-centric operating architecture supported by an agile organization that enables on-going change.

Essentially, we are moving away from an era of core competencies that differ from industry to industry to an age shaped by data and analytics and powered by algorithms. The concept of network is superceding the concept of industry in defining strategic options for firms.

The emergence of the “Age of AI” has possibly created the greatest entrepreneurial opportunity in the history of civilization and the world is literally jammed with entrepreneurial activity. Marco Iansiti and Karim Lakhani suggest ways to maximize that opportunity.

Previous research studies assume that influential consumers (“influentials”), who play a powerful role in the marketplace, are persuasive (or not) based on innate, static personality traits. By contrast, this paper proposes an emergence-based view of influentials. Grounded in dynamic self-concept theory, this research establishes that individuals possess an “influential” self-concept that can be activated by firm-originated communications. Specifically, the authors examine the impact of firm feedback on the three dimensions of influentials (and the corresponding traits and behaviors): who they are (propensity to connect with others), who they know (WOM) and what they know (expert power).

The study tests whether an influential self can be evoked by marketers using a longitudinal experimental test with data collected in three periods. The data are analyzed using a multi-mediation model and partial least squares structural equation modeling.

The results reveal that even after controlling for the extroversion trait, firm-originated positive feedback increases perceived expert power of participants, which increases word-of-mouth behavior in a subsequent period, both directly and indirectly via an enhanced propensity to connect with others.

Cultivating the influential self-concept requires time to ensure that the self-concept is sufficiently realized to become an enduring self-concept.

By cultivating influentials, practitioners are able to leverage diffusion mechanics and reduce costs and inefficiencies associated with traditional customer relationship management marketing strategies focused on finding them.

These findings have implications across all domains that rely on the diffusion and adoption of ideas or products via influentials, including but not limited to public policy, politics, public health and sustainability, in that influentials can be evoked and leveraged to diffuse ideas in these important social domains.

This paper provides empirical evidence that firms can evoke influential consumer behavior challenging existing views of influence as a static personality trait. It casts a line to connect influential consumers to the nascent study of social emergence.

The purpose of this paper is to present a deterministic, stochastic and reliability analysis through numerical simulations in 2D and 3D dynamic fluid‐structure interaction problems.

The perturbation methods allied to reliability analysis are applied to fluid‐structure finite element models. Reliability analysis couples finite element analysis with first and second order reliability methods and ant colony optimization in a modified first order reliability method.

Results obtained show the potentialities of the proposed methodology and encourage improvement of this procedure for use in complex coupled fluid‐structure systems.

The understanding of the mechanical interaction between a fluid and an elastic solid has a capital importance in several industrial applications. In order to couple the behaviour of two different media, deterministic models have been proposed. However, stochastic analysis has been developed to deal with the statistical nature of fluid‐structure interaction parameters. Moreover, probabilistic‐based reliability analysis intends to find safe and cost‐effective projects.

Each individual needs to be vaccinated to control the spread of the COVID-19 pandemic in the shortest possible time. However, the vaccine distribution with an already strained supply chain in low- and middle-income countries (LMICs) will not be effective enough to vaccinate all the population in stipulated time. The purpose of this paper is to show that there is a need to revolutionize the vaccine supply chain (VSC) by overcoming the challenges of sustainable vaccine distribution.

An integrated lean, agile and green (LAG) framework is proposed to overcome the challenges of the sustainable vaccine supply chain (SVSC). A hybrid best worst method (BWM)–Measurement of Alternatives and Ranking According to COmpromise Solution (MARCOS) methodology is designed to analyze the challenges and solutions.

The analysis shows that vaccine wastage is the most critical challenge for SVSC, and the coordination among stakeholders is the most significant solution followed by effective management support.

The result of the analysis can help the health care organizations (HCOs) to manage the VSC. The effective vaccination in stipulated time will help control the further spread of the virus, which will result in the normalcy of business and availability of livelihood for millions of people.

To the best of the author's knowledge, this is the first study to explore sustainability in VSC by considering the environmental and social impact of vaccination. The LAG-based framework is also a new approach in VSC to find the solution for existing challenges.

This paper aims to present the seven organizational principles for developing value-dominant logic (VDL) thinking and advancing it toward making a business purposeful and open to a lifestyle of value for humanity at large.

VDL considers value as rooted on axiology, actor-network theory, the hygge concept and is deployed through seven organizational principles deriving from the original eight VDL principles (Mahajan, 2017).

It is necessary to consider value in its polysemous meanings as an emergent element and a result of people’s interpretation based on norms and beliefs. At the same time, managers conceptualize businesses to create stimuli for the markets and society and favoring the emergence of a positive and sustainable value. This study explains how organizations and managers can be driven by norms and beliefs and a purpose to make decisions and assume postures and behaviors capable of stimulating the emergence of positive and sustainable value, creating opportunities for humanity at large; this managerial behavior creates conditions for value creation, and it is framed in VDL.

A research agenda is provided that can spawn fruitful research in VDL.

This study develops the theoretical roots for a management approach that will support organizations and managers in interpreting their role as stimulators of value.

The study focuses on the well-being and happiness of all the stakeholders.

The study developed organizational principles deeply rooted in the VDL.