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Introduction: With the proliferation and amalgamation of technology and the emergence of artificial intelligence and the internet of things, society is now facing a rapid explosion in big data. However, this explosion needs to be handled with care. Ethically managing big data is of great importance. If left unmanageable, it can create a bubble of data waste and not help society achieve human well-being, sustainable economic growth, and development.

Purpose: This chapter aims to understand different perspectives of big data. One philosophy of big data is defined by its volume and versatility, with an annual increase of 40% per annum. The other view represents its capability in dealing with multiple global issues fuelling innovation. This chapter will also offer insight into various ways to deal with societal problems, provide solutions to achieve economic growth, and aid vulnerable sections via sustainable development goals (SDGs).

Methodology: This chapter attempts to lay out a review of literature related to big data. It examines the implication that the big data pool potentially influences ideas and policies to achieve SDGs. Also, different techniques associated with collecting big data and an assortment of significant data sources are analysed in the context of achieving sustainable economic development and growth.

Findings: This chapter presents a list of challenges linked with big data analytics in governance and achievement of SDG. Different ways to deal with the challenges in using big data will also be addressed.

This paper examines what the use of an augmented reality (AR) makeup mirror means to consumers, focusing on experiential consumption and the extended self.

The authors employed a multimethod approach involving netnography and semi-structured interviews with participants in India and the UK (n = 30).

Two main themes emerged from the data: (1) the importance of imagination and fantasy and (2) the (in)authenticity of the self and the surrounding “reality.”

This research focuses on AR magic makeup mirror. The authors call for further research on different AR contexts.

The authors provide service managers with insights on addressing gaps between the perceived service (i.e. AR contexts and the makeup consumption journey) and the conceived service (i.e. fantasies and the extended self).

The authors examine the lived fantasy experiences of AR experiential consumption. In addition, the authors reveal a novel understanding of the extended self as temporarily re-envisioned through the AR mirror.

The twenty-first century has been characterized by the intensification of concerns related to tourism safety and security. These issues are playing an increasingly significant role over recent years, due to the increase of terrorist attacks in several countries, political instability, natural disasters, epidemics and, more recently, the COVID-19 pandemic. Understanding tourist safety and security in the tourism context is, thus, critical to increasing the competitiveness and attractiveness of tourist destinations.

Through the bibliometric methods of performance analysis and science mapping, this study aims to contribute to the advancement of knowledge on tourist safety and security at the destination.

A total of 445 records published between 1989 and 2021, covering 191 academic journals and 1,000 authors from 91 different countries, were analysed.

The main findings show that this research field has attracted a substantial and growing interest of researchers, institutions, journals and countries. Opportunities for future research are related to decision making, tourist behaviour, risk perception, tourism safety, destination image, safety engineering and sustainable development.

In the post-pandemic context, this research field can be critical to providing a set of tailored strategies to improve tourists' safe destination environment and increase tourism destinations' competitiveness and attractiveness.

This paper aims to examine the impact of dynamic capabilities of new product development (NPD) team on project performance, including efficiency and effectiveness.

Data were collected from NPD team members who have worked on radical new product projects in large manufacturing firms in Thailand. Respondents represented different departments, including research and development (R&D), quality control, production and marketing. These individuals worked in a wide range of large manufacturing industries with an average of more than 500 employees. These industries include food, automotive, auto parts and electric and electronics products.

The results indicate that NPD team with sensing, learning and integrating capabilities can increase project effectiveness. In addition, teams with high learning, integrating and coordinating capabilities will enhance project efficiency.

First, the research findings may not be generalizable in all aspects to other industries. Second, the use of cross-sectional data in this study may not be appropriate for testing causal relationships among constructs. Third, although the samples of this study were from a wide range of functional areas, the majority were R&D personnel.

To improve project effectiveness, project managers should consider investing in information technologies that provide a wide range of information sources, such as business research databases and academic journals. To improve project efficiency, the managers can establish both formal and informal activities during NPD projects. These social activities can provide opportunities for team members to physically meet and adjust their personal behavior to get along with each other.

These findings provide a wider picture of the beneficial role of dynamic capabilities of NPD teams toward project performance, including efficiency and effectiveness.

The purpose of this study is to examine the mediating effect of innovation on the relationship between managerial competencies and business performance of small and medium enterprises (SMEs) in Rwanda.

A cross-sectional survey and quantitative methodological approach were used to collect the data. The bootstrap method was used to test mediation effects.

The findings revealed that innovation is a significant mediator in the association between managerial competencies and business performance. This study, therefore, adds new knowledge by stating that innovation toward business performance is a partial mediator in the relationship between managerial competencies and business performance of SMEs in Rwanda.

Only a single research methodological approach was used. Qualitative studies through interviews could be undertaken to triangulate. Furthermore, the findings from the present study are cross-sectional. Longitudinal studies ought to be undertaken to examine the mediation effects studied to investigate any possibility of variations in the results.

The results may help owners-managers of SMEs to develop policies and strategies that could enable them to take advantage of new opportunities in relation to updated technology and cope with changes that may take place in the business environment to boost their business performance level.

To the authors’ knowledge, no research has ever been carried out on the mediating role of innovation in the relationship between managerial competencies and business performance of SMEs in Rwanda.

This paper aims to explore factors affecting young consumers’ purchasing of new smart products under the influence of social media.

Twenty semi-structured, face-to-face, in-depth interviews were conducted with young consumers who used new media, and five extended interviews were conducted with popular smartwatch retailers in Macau.

The findings reveal that they tend to garner product information from multiple channels of communication. Social media exert the greatest influence. Reliable information, strong branding and interactions with vendors are also influential, although new product pre-announcements may be boring and difficult to understand.

This study presents new insights into diffusion of innovation theory and provides retailers launching smart products with a better understanding of their target young customers’ purchasing behavior.

The pace of booking is a critical element in the accuracy of revenue management (RM) systems. Anecdotal evidence suggests that booking windows exhibit persistent shifts due to a variety of macro and micro factors. The article outlines several causes and tests the impact of the shifts on forecasting accuracy.

A novel methodological approach is utilized to empirically shift hotel reservation windows into smaller increments. Forecasts are then estimated and tested on the incremental shifts with popular RM techniques characteristic of advance booking data. A random effects model assesses the impact of the shifts on forecast accuracy.

The results show that shifts in booking behavior can cause the accuracy of forecasting models to deteriorate. The findings stress the importance of considering these shifts in model estimation and evaluation.

The results demonstrate that changes in booking behavior can be detrimental to the accuracy of RM forecasting algorithms. It is recommended that revenue managers monitor booking window shifts when forecasting with advanced booking data.

This study is the first to systematically assess the impact of booking window shifts on forecasting accuracy. The demonstrated approach can be implemented in future research to assess model accuracy as booking behavior changes.

The purpose of this paper is to retrace the past development of the global tourism sector to identify past drivers of growth and try to understand which factors will shape the sector development in the long term. The paper also intends to initiate a discussion on critical areas the global sector needs to address if it wants to establish as a model for sustainable and inclusive growth.

This paper analyses the political, economic, socio-cultural and technological factors that influenced tourism growth.

The global tourism sector has experienced continuous expansion and diversification to become one of the largest and fastest-growing economic sectors in the world. With increased recognition of tourism contribution to economic growth and development, more opportunities will arise for tourism to take centre stage in the political and economic agendas worldwide. Such opportunities can be successfully realised only once the global tourism sector eventually engages to mitigate negative impacts.

The paper is based on an extensive review of published literature; hence, it reflects the view major organisations dealing with tourism have on the future development of this sector. The factors included in this analysis have been prioritised based on the sector knowledge of the authors and may not be reflect other viewpoints.

Tourism could establish itself as a model that puts aspects such as the conservation, preservation and protection of the cultural and natural heritage at the heart of economic development. For global tourism to become a driver of socio-economic change, stronger guidance is needed to set priorities that would lead the sector to mitigate its negative impacts. The paper critically discusses some of those aspects that could become policy priorities for the next decades.

The main value of this piece of research is the extended, cross-disciplinary literature of the factors that conducted to the rapid and healthy growth of the tourism sector worldwide.

This paper aims to improve the accuracy of hotel daily occupancy forecasts – an essential element in the revenue management cycle – by proposing and testing a novel approach. The authors add the hotel competitive-set’s predicted occupancy as an input of the individual property forecast and, using a recursive approach, demonstrate that there is a potential for significant reduction in the forecasting error.

The paper outlines the theoretical justification and the mechanism for this new approach. It applies a simulation for exploring the potential to improve the accuracy of the hotel’s daily occupancy forecasts, as well as analysis of data from a field study of two hotel clusters’ daily forecasts to provide empirical support to the procedure’s viability.

The results provide strong support to the notion that the accuracy could be enhanced. Incorporating the competitive set prediction by using either a genetic algorithm or the simple linear regression model improves the accuracy of the forecast using either the absolute or the absolute percentage as the error measure.

The proliferation of data sharing practices in the hotel industry reveals that the timely data sharing-aggregation-dissemination mechanism required for implementing this forecasting paradigm is feasible.

Given the crucial role of accurate forecasts in revenue management and recent changes in the hotels’ operating environment which made it harder to achieve or maintain high levels of accuracy, this study’s proposed novel approach has the potential to make a unique contribution in the realm of forecasting daily occupancies.

The purpose of this paper is to present a systematic review and analysis of existing research articles on new product development (NPD) published in the 12-year period starting from 1998 to 2009.

To explore the articles related to NPD, four key words namely new product, product design, product development and product innovation were used in combination of title or abstract or keyword of the articles through several knowledge databases. The abstracts of journal papers were read and a decision as to whether article belongs to any NPD research issue or not was made. In total, 1,127 research articles were categorized systematically and then analyzed on various principal NPD information groups.

Analysis of selected articles led to a certain level of dispersion in the publication of NPD research in different journals. It is found that more attention needs to be on knowledge and creativity management, communication and information transfer in any NPD process.

By observing extended literature from authors reviewing articles from various journals, growth in research, and variety of topics covered in NPD, a broad systematic multi journal review of NPD literature is clearly overdue. The authors have developed a comprehensive listing of publications on NPD where they have classified the surveyed papers according to various principal NPD information groups like: published year, NPD research stream, type of organization studied (industrial/consumer/service), level of innovation (high/moderate/low), NPD focus on frameworks, performance perspective (success, failure or both), NPD research design (conceptual/empirical and qualitative/quantitative) and NPD relevant best practice element. Based on the classification scheme, the issues were analyzed from the system's perspective and their implications to NPD research.