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Many European businesses are small and medium enterprises (SMEs), contributing significantly to the well-being of local economies and regions. Even so, SMEs face many challenges in fostering innovation and improving performance. Furthermore, the raw material consumption is increasing globally, necessitating the development of strategies that will reduce the number of raw materials extracted and imported while improving the sustainability of small and medium-sized businesses. Consequently, promoting circular economy (CE) strategies, such as industrial symbiosis (IS) partnerships, whereby waste products from other industries serve as a source of raw materials for companies, is critical. Identifying and analysing enablers or drivers that support IS collaborations among SMEs is necessary to achieve this goal. In this regard, the purpose of this study will explore the enablers of IS among SMEs considering sustainability dimensions (environmental, social and economic). As facing a decision-making (DM) problem, the multiple attribute decision-making (MADM) approach was applied in a hesitant fuzzy (HF) environment in this research to answer the research questions. In this regard, in phase 1, IS enablers were identified and extracted using a literature review and experts’ opinions. In phase 2, the hesitant fuzzy Delphi (HFD) method was implemented to screen and finalise the enablers identified. In phase 3, casual relations among final enablers were determined using the hesitant fuzzy ANP (HF-ANP) method. Finally, in phase 4, the relative importance of enablers was calculated using the hesitant fuzzy best–worst method (HF-BWM). Consequently, this study provided potential strategies for IS that can be implemented quickly and used by local authorities to support SMEs in achieving circular waste management.

International experience (IE) has been acknowledged to be the most useful method for developing global leaders. However, not everyone benefits equally from IE. During the last two decades, our understanding of why this is the case and how global leaders learn from IE has rapidly increased. Several individual and organizational enablers facilitating global leader learning from IE have been identified in the literature, as have learning mechanisms that make such learning possible. However, the literature remains fragmented, and there is a great need to integrate the findings in the field. Therefore, the present paper systematically examines peer-reviewed studies on global leaders' learning from IE published between 1998 and 2019. The study contributes to the extant literature by identifying and integrating individual enablers, organizational enablers, and key learning mechanisms from global leaders' IE and by suggesting topics for future research.

Significant advances in digital technologies impact both organisations and knowledge workers alike. Organisations are now able to effectively analyse significant amounts of data, while accomplishing actionable insight and data-driven decision-making through knowledge workers that understand and manage greater complexity. For decision-makers to be in a position where sufficient information and data-driven insights enable them to make informed decisions, they need to better understand fundamental constructs that lead to the understanding of deep knowledge and wisdom. In an attempt to guide organisations in such a process of understanding, this research study focuses on the design of an organisational transformation framework for data-driven decision-making (OTxDD) based on the collaboration of human and machine for knowledge work. The OTxDD framework was designed through a design science research approach and consists of 4 major enablers (data analytics, data management, data platform, data-driven organisation ethos) and 12 sub-enablers. The OTxDD framework was evaluated in a real-world scenario, where after, based on the evaluation feedback, the OTxDD framework was improved and an organisational measurement tool developed. By considering such an OTxDD framework and measurement tool, organisations will be able to create a clear transformation path to data-driven decision-making, while applying the insight from both knowledge workers and intelligent machines.

An increased understanding of the capabilities needed for HR Analytics and how to build synergies from these capabilities is of practical and academic importance. Using the lens of Systems Theory, an explorative case study is performed in a multinational food distribution company that is building its HR Analytics Capabilities. In this study, the synergistic enablers and mechanisms have been examined in practice for the domain of HR Analytics and the BA Capabilities involved (clustered into Technology, Governance, Analytic Practices and Processes, People and Culture). Examples of (in)compatibilities, integration efforts, mechanisms and synergistic outcomes are given from the case organization. This study provides insights on how in practice the interaction between BA Capabilities can lead to synergistic relationships and synergistic outcomes and through what mechanisms and enablers this is being facilitated. The study contributes to HR Analytics and IS literature in terms of the use of synergistic enablers and mechanisms in practice.

Employee engagement is a workplace approach resulting in the right conditions for all members of an organisation to give their best each day. The result is that the staff is committed to their organisation’s goals and values, motivated to contribute to organisational success, with an enhanced sense of their own well-being. Although employee engagement as a practice is evidenced as bringing improved productivity to small businesses, and while 87% of the UK small enterprises claim that they are taking active steps to improve employee engagement, only 12% of such businesses list it as a business priority.

In a smaller organisation, it is easier for leaders to be involved in driving forward and measuring planned actions to improve employee engagement. According to the consulting firm Aon Hewitt (2015), there are six major categories for drivers of employee engagement: (1) The work people do; (2) The people they work with; (3) Opportunities; (4) Total rewards; (5) Company practices; and (6) Quality of life.

The focus of this chapter is to recommend how small businesses can drive employee engagement using the six drivers of engagement recommended by Aon Hewitt, and improve levels of productivity in the firm.

This paper aims at advancing research on the identification and the first test of the primary steps companies follow to generate and maintain enablers of long-term marketing relationships in cross-cultural business. To achieve the objective, the authors first identify the communication difficulties in generating and maintaining long-term relationships in bi-cultural or multi-cultural settings. They then develop the building blocks, or enablers, that are needed to form and maintain enduring relationships. They finally illustrate the suggested process by describing the use of enablers in two contrasting cultures, the Anglo-Saxon and the Latin, using samples from the United States and Chile, respectively.

The last few years have witnessed massive artificial intelligence (AI) and gaming adoption that has navigated the emerging markets. Moreover, according to the WOG summit (world government summit report, by Nielsen) 2020 reports, AI with gaming mechanisms are expected to enrich marketing services in the coming future in the emerging markets. Countries such as India, China and South Korea contribute significantly to this area, and recent forecasting allows the need to increase in emerging markets. Similarly, these countries have a maximum number of youth gamers and AI-driven technology adopters. The adoption of AI-driven technologies and amplification of gamification in marketing services are new phenomena. Moreover, gaming and AI dynamics are relatively new in emerging countries and need greater attention. Thus, this book chapter proposes a dyad model that would explain users' and companies' perspectives to understand the role of AI and gamification for the emerging markets. The chapter will explain how AI-driven gamification helps the users of emerging markets. The chapter will also illustrate how companies in emerging markets use AI for gamification. Therefore, the dyad model would also comprehend the gap, opportunities and challenges in this area and the subsequent strategies to help all the stakeholders.

In a world of continuous volatility, complexity and uncertainty, the need for enhanced leadership has gained significant attention. Leadership development efforts continue to scale up but fail to produce the desired leaders. This calls for fundamental changes in the way leadership development happens.

Knowing this very well, it is ironic that organisations remain limited in their ability to develop leadership talent. Leadership models may be inadequate to prepare our leaders for the future. Effective leadership development frameworks need to take a contextual view and evolve sustainable and competitively integrated solutions to today’s leadership challenges.

This chapter explores the changing paradigms related to leadership development and highlights how contextual enablers will help practitioners better select and develop leaders.

Global value chains (GVCs) have been challenged by several emerging macro-trends during the last years. Among them, sustainability of production and consumption patterns is becoming a central theme given the necessity to mitigate the degradation of the environment and the over-exploitation of scarce natural resources. In this respect, scholars and practitioners increasingly propose the circular economy (CE) approach as a systemic solution to overcome the conventional linear “take–make–use–dispose” model underlying the structure of contemporary global economy. However, the international business (IB) community has introduced the topic of CE only marginally in its debate. The aim of the present study is to fill this research gap identifying the opportunities for integrating IB and CE principles. Thus, the main objective is to investigate whether and how the adoption of the CE paradigm by multinational enterprises (MNEs) may affect activities, geographical configuration, and governance of their relevant GVCs.

The authors address the issue from a conceptual point of view, identifying direct and indirect impacts of CE adoption on GVC, relative enablers, and possible broader implications. Lastly, the authors propose some reflections for future investigations.