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The need for an efficient enterprise risk management (ERM) has never been greater than today when organisations face complex and interconnected risks targeting their business models. Macroeconomics and geopolitical uncertainties, digital transformations of industries and sectors, cybersecurity, and climate change, among other trends, present significant uncertainties. This article aims to analyse the scientific papers on research specific to ERM and review the links between the researched area and market or corporate governance topics. Risk management is underdeveloped in many organisations; the current standard for risk management is a reactive approach. It is usually treated in isolation rather than as a core competency and a strategic asset. As a result, risk management processes are ineffective and seen as adding value to decision-making and responding to uncertainties. Based on the literature, the scope is to set up the framework for future research on ERM by building a bibliometric analysis and examining articles collected from the Web of Science Core Collection database. The study identified the essential research on this topic based on the citations of the papers and the author’s countries with the highest number of publications and citations. VOSviewer software analysed the ERM system based on keywords, citations, geographical distribution, and authorships. The research proves a strong connection between the ERM and corporate governance topics considering the stage where most countries are regarding this subject.

The entrepreneurial vision, strategic goals, organizational capabilities and processes, alone, will not be adequate to attain business success, unless there is a quality management philosophy in the company (Al-Dhaafri, Al-Swidi, & Yusoff, 2016). Successful entrepreneurial endeavours essentially rest on action, assertiveness, persistence and know-how of leadership (Azyan, Pulakanam, & Pons, 2017) who comprehend the application of quality management methods as a long-term ‘quality journey’. The appropriate implementation of a quality management system (QMS) or total quality management (TQM) system results in enhanced organizational performance (Sahoo & Yadav, 2017).

A wide range of small and medium-sized enterprises (SMEs) have nowadays been aware of the indisputable importance of quality and have reaped the benefits of TQM, having in mind that TQM is not just a method or a tool but a whole business philosophy. TQM is a systematic approach that focuses on continuous improvement of the organizational processes with the participation and contribution of all the stakeholders, so as to manage and enhance quality, productivity and customer satisfaction. It is the best way for the enterprise's growth and domination in the contemporary national and international competitive marketplace (Kriemadis, Thomopoulou, & Sioutou, 2017). According to several studies, by embracing the TQM philosophy, SMEs can compete in the global competitive environment (Womack & Roos, 1990; as cited in Karani & Bichanga, 2012; Sainis & Kriemadis, 2019; Pashiardis & Kriemadis, 1999).

The present study aims to develop a generic TQM model for SMEs in order to improve their competitiveness, productivity and quality as well as to enhance their entrepreneurial orientation.

Geotechnologies have a long tradition in several areas of society and research. The recent development of the ‘Internet of Everything’ (IoE) and Geographic Information Systems (GIS) technologies opened several doors to the contribution of tourism. Emergent technologies contributions to tourism and planning such as web mapping, augmented reality (AR), crowdsourcing and crowdsensing are relatively recent, and there is a lack of research around their potential for Creative Tourism enhancement. For example, combining web mapping with AR or storytelling can be an excellent contribution to operators, planners and tourists. For research purposes, new opportunities are open, particularly by integrating community-shared data. It is well known for the popularity of social networks, the exponential growth of photo sharing, but few studies have been implemented to understand their contribution to research. This chapter focuses on emerging geotechnologies concerning cultural mapping, Creative Tourism and sustainability. Since it is a new growing niche, more research is needed to develop and understand the potential of new approaches. Besides traditional techniques such as quantitative (e.g. surveys) and qualitative ones (e.g. interviews, focus groups and world café), it revises the role of geotechnologies on Creative Tourism development and growing activities. Results from case studies from Europe are analysed.

One of the most neglected sources of energy loss is streetlights that generate too much light in areas where it is not required. Energy waste has enormous economic and environmental effects. In addition, due to the conventional manual nature of operation, streetlights are frequently seen being turned ‘ON’ during the day and ‘OFF’ in the evening, which is regrettable even in the twenty-first century. These issues require automated streetlight control in order to be resolved. This study aims to develop a novel streetlight controlling method by combining a smart transport monitoring system powered by computer vision technology with a closed circuit television (CCTV) camera that allows the light-emitting diode (LED) streetlight to automatically light up with the appropriate brightness by detecting the presence of pedestrians or vehicles and dimming the streetlight in their absence using semantic image segmentation from the CCTV video streaming. Consequently, our model distinguishes daylight and nighttime, which made it feasible to automate the process of turning the streetlight ‘ON’ and ‘OFF’ to save energy consumption costs. According to the aforementioned approach, geo-location sensor data could be utilised to make more informed streetlight management decisions. To complete the tasks, we consider training the U-net model with ResNet-34 as its backbone. Validity of the models is guaranteed with the use of assessment matrices. The suggested concept is straightforward, economical, energy-efficient, long-lasting and more resilient than conventional alternatives.