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This chapter highlights key experiences in using leading examples of tourism-linked technology during travel. Managerial directions are offered to hospitality and tourism businesses when employing contemporary technology applications. A carefully crafted autoethnographic approach, supported by netnography, provides the basis for the findings and recommendations. Two settings were chosen as iconic cases: exploring the city of Innsbruck and staying in a high-tech hotel in Vienna. The insights revealed that while technology provides advantages for tourists’ stays, less than thoughtful use can also disturb the experiences. The contribution to tourism intelligence from this study lies in the need for technology applications to create well tested, personalized and user-friendly services for diverse tourists and to design a communication system to anticipate problems.

This paper examines the exercise of Black employee voice in South Africa over the past 53 years. Black workers constitute almost 4 out of every 5 workers in the country and experienced racial oppression from the time of colonisation up to the end of apartheid in 1994. They are still congregated around the lower skilled occupations with low incomes and high unemployment levels.

The paper draws on the theory of voice, exit and loyalty of Albert Hirschman, but extends voice to include sabotage as this encapsulates the nature of employee voice from about 2007 onwards. It reflects a culture of insurgence that entered employment relations from about that time onwards, but was lurking below the surface well before then.

The exercise of employee voice has gone through five phases from 1963 to mid-2016 starting with a silent phase for the first ten years when it was hardly heard at all. However, as a Black trade union movement emerged after extensive strikes in Durban in 1973, employee voice grew stronger and stronger until it reached an insurgent phase.

The phases employee voice went through were heavily influenced by the socio-political situation in the country. The reason for the emergence of an insurgent phase was due to the failure of the ruling African National Congress government to deliver services and to alleviate the plight of the poor in South Africa, most of whom are Black. The failure was due to neo-patrimonialism and corruption practised by the ruling elite and politically connected. Protests by local communities escalated and became increasingly violent. This spilled over into the workplace. As a result many strikes turned violent and destructive, demonstrating voice exercised as sabotage and reflecting a culture of insurgence.

Cross-docking is a supply chain distribution and logistics strategy for which less-than-truckload shipments are consolidated into full-truckload shipments. Goods are stored up to a maximum of 24 hours in a cross-docking terminal. In this chapter, we build on the literature review by Ladier and Alpan (2016), who reviewed cross-docking research and conducted interviews with cross-docking managers to find research gaps and provide recommendations for future research. We conduct a systematic literature review, following the framework by Ladier and Alpan (2016), on cross-docking literature from 2015 up to 2020. We focus on papers that consider the intersection of research and industry, e.g., case studies or studies presenting real-world data. We investigate whether the research has changed according to the recommendations of Ladier and Alpan (2016). Additionally, we examine the adoption of Industry 4.0 practices in cross-docking research, e.g., related to features of the physical internet, the Internet of Things and cyber-physical systems in cross-docking methodologies or case studies. We conclude that only small adaptations have been done based on the recommendations of Ladier and Alpan (2016), but we see growing attention for Industry 4.0 concepts in cross-docking, especially for physical internet hubs.

The sustainable transition towards the circular economy requires the effective use of artificial intelligence (AI) and information technology (IT) techniques. As the sustainability targets for 2030–2050 increasingly become a tougher challenge, society, company managers and policymakers require more support from AI and IT in general. How can the AI-based and IT-based smart decision-support tools help implementation of circular economy principles from micro to macro scales?

This chapter provides a conceptual framework about the current status and future development of smart decision-support tools for facilitating the circular transition of smart industry, focussing on the implementation of the industrial symbiosis (IS) practice. IS, which is aimed at replacing production inputs of one company with wastes generated by a different company, is considered as a promising strategy towards closing the material, energy and waste loops. Based on the principles of a circular economy, the utility of such practices to close resource loops is analyzed from a functional and operational perspective. For each life cycle phase of IS businesses – e.g., opportunity identification for symbiotic business, assessment of the symbiotic business and sustainable operations of the business – the role played by decision-support tools is described and embedding smartness in these tools is discussed.

Based on the review of available tools and theoretical contributions in the field of IS, the characteristics, functionalities and utilities of smart decision-support tools are discussed within a circular economy transition framework. Tools based on recommender algorithms, machine learning techniques, multi-agent systems and life cycle analysis are critically assessed. Potential improvements are suggested for the resilience and sustainability of a smart circular transition.

The world needs more Eastern knowledge and, ergo, more consciousness. Humanity will unlikely experience a quantum leap in consciousness if we keep ignoring Eastern and other sources of perennial wisdom in the design and development of our socioeconomic and ecological systems. This chapter aims to bridge the consciousness gap by exploring the meaning and application of Buddhist and Taoist systems thinking to regenerative systemic leadership, design, development and sustainable transformation.

Six sigma is a structured methodology that uses mathematical and statistical tools to increase productivity and business efficiency. In order to apply it, it is necessary to have a very broad knowledge in the fields of mathematics, management, and sector to which the process or the product under consideration (mechanical, electronic, chemical, etc.) refers. It is based on guidelines with a rigid and formalized approach to deal with misunderstandings and minimize subjectivity as much as possible.

This chapter will provide the basic information regarding the birth of the methodology and the composition of the work team; moreover, the procedure define, measure, analyze, improve, and control (DMAIC) will be presented and some tools will be described in order to obtain the improvements desired for the product or the process.

Relationships are socially constructed by companies in interaction. This study explains the dynamic character of business-to-business relationships with the aid of rules theory, a theory borrowed from the communications field. Two forms of rules are identified: constitutive rules guide the interpretation of the other's acts, and regulative rules guide the appropriate response to the interpreted act. Rules theory asserts that companies act as if applying these rules. Relationships provide not only the context in which the parties’ acts are performed but are also the result of such acts. Thus, relationships are potentially reshaped each time one party performs an act and the other party gives meaning to that act and reacts.

This article brings a new, broad conceptual framework to the quest for understanding dynamic capability in organizations (i.e., “managing on the edge of chaos”). This approach rests on two major ideas: (i) a duality–paradox perspective and (ii) new typologies of organizational learning (OL) and individual action/thinking. A case of radical innovation at Microsoft provides a multilevel stimulus. Understanding it requires a focus on two dualistic challenges. For use in future ODC research and practical assessment, this broad new conceptual framework includes: (i) collaboration as a central concept; (ii) duality–paradox as a key source of conflicts that can threaten collaboration; (iii) five types of OL, (iv) four types of individual action/thinking, including paradoxical thinking, and (v) the proposition that “golden dualities” can be created from once-troubling duality situations (where critical collaboration was in danger) which have been transformed from the metaphorical “odd (contentious) couple” into a “productive (collaborative) partnership.”

The foundations of quality management have been laid throughout the history of civilization. Since the dawn of industrialization, as a consequence of an increasing division of labor, the approach has evolved dramatically in terms of analytical tools and organizational practices. This evolution is outlined in this chapter. Starting from an overview of the different possible meanings of quality, the phases characterizing modern quality management (e.g., quality control, quality assurance, etc.) are described. Geopolitical and macroeconomic considerations are factored in to account for an uneven development across countries (e.g., Japan vs US). A general trajectory is traced as the scope of quality has constantly broadened to encompass not only the product, but also interorganizational processes and the impact on the environment and the society of the company activities. Against this backdrop, the current phase is seen as a polarization between a “classic” engineering approach and a more holistic view, questioning the same boundaries of the discipline.