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This chapter reviews the key findings and innovation leadership insights from this book, as well as pointing out directions for future research. We find a series of learning insights for people engaged in innovation leadership, at the distinct levels of self-leadership, team leadership, organisational leadership, and ecosystem leadership. We also find commonalities across these levels, as well as differences that reflect the complexity of these different leadership arenas. Leadership practice that orchestrates contributions from diverse viewpoints, seeing itself as with the group, rather than above it, is most likely to help turn ideas into value in repeatable ways. We also find evidence that mindset, skills, and behaviours are all important in the make-up of competencies. We point to the requirement for further research at all four levels, to bring further insights in what is still an emerging field; as well as a need for more research into competency development for innovation leadership; and we advocate a research approach that emphasises relational leadership, acknowledging that most leadership practice is shared across people.

The purpose of this chapter is to investigate the relationship between corporate governance and greenhouse gas (GHG) disclosures using evidence from the United States.

The study is based on a sample of 168 firms listed on the New York Stock Exchange (NYSE) in the United States. Panel data are used covering a period from 2017 to 2020 involving 672 observations.

The results indicate that board size has a positive and significant effect on GHG disclosures while the effect of ownership concentration and insider ownership is negative and significant. The proportion of non-executive directors is not significant. In terms of control variables, firm size and financial slack have a positive effect on GHG disclosures.

The study results add evidence to the already existing literature on the relationship between corporate governance and GHG disclosures using evidence from the United States.

The theory of third order inference is a theory of how cultural beliefs influence individuals' decisions under conditions of interdependence and uncertainty. In this study, I build on prior work extending the theory to the role of third order information on social trust in public goods dilemmas. Namely, I argue that when second order information on the beliefs of those relevant to the group task are present, this information should influence decision-making over first and third order.

I test this argument in an experimental public goods game. After measuring first order social trust, participants are randomly sorted into one of four conditions – two that pair third and second order information on social trust as parallel and two that pair them as in conflict.

The results suggest that in the presence of second order information on social trust, third order information doesn't have an effect on cooperation.

The study extends the theory of third order inference to understanding the role of social trust at the first, second, and third levels in public goods dilemmas. It puts second order information in competition with third order in predicting cooperation. It suggests that resolving the uncertainty over the second order beliefs of a collective is key to preventing inefficient equilibriums when second and third order beliefs conflict.

This chapter aims to consider workplace spirituality from a cross-cultural perspective. The terms workplace spirituality and culture are so intangible, and both start with the attitude and behavior of humans but are meaningful in a community. Because of the constraint of understanding these abstract settings, it is necessary to define and specify the dimensions of both concepts to achieve the aim of this chapter. In this regard, the section starts with the conceptuality of workplace spirituality and the dimensions of the term, which cumulate at individual, group, and organizational levels. It goes with the part of cultural dimensions in the light of Hofstede's (2001) direction, Chhokar, Brodbeck, and House's (2007) extension, and Sharma's (2010) derivation of cultural dimensions for national, organizational, and individual levels, respectively. After joining the dots, the chapter focuses on one of the most sacred research areas for academic literature, cross-cultural differences, and workplace spirituality. The last part of the chapter is the conclusion to point to final notes about the concepts and help guide future studies.

This chapter applies the five drivers of productivity framework to regional microdata for Egypt and extends it by introducing an index of industrial clusters as an explanatory factor of the productivity performance of local private sector firms. Applying structural equation models, the geographic concentration of sectoral economic activity is found to have a positive and statistically significant effect on labor productivity. The transmission mechanism is conjectured to be the positive spillovers that are created, which local firms can tap into. In contrast, a higher concentration of skilled workers in an industrial sector in a region is associated with lower levels of labor productivity – a finding that suggests there may be structural deficiencies in the allocation of skilled workers. Regional policy should focus on net investments in gross capital formation throughout the country, for which the national and regional governments should improve how public investments are managed and the institutional framework – including the rule of law, bureaucracy and red tape, conflict of interest, transparency, and governance – so that private investment (both local and foreign) may substantially increase.

This chapter presents the outcome of an empirical study titled ‘Knowledge Sharing and Transfer (KST) that Really Works: An exploration of KST in Sub-Saharan South African Public Sector Institutions’. Enablers of KST were explored through the lens of lived experiences of managers working at Gautrain Management Agency (GMA), a rail transport public sector operator in South Africa. Qualitative data were collected from 15 managers and analysed using Thematic and Trans Positional Cognition Approach (TPCA) qualitative analytical tools. Four themes, essential originating antecedent factors, complementary people enabling factors, organisational enabling factors and effective KST implementing factors emerged. Rahman’s KST model was adopted as a theoretical framework and used to better understand the study findings. The current study affirms two elements within the theoretical framework, namely, complementary people enabling factors and organisational enabling factors, while the remaining two, essential originating antecedent factors and effective KST implementing factors, were not affirmed. This study contributes a new KST framework that helps business managers understand KST from the South African public sector practitioners’ perspectives, which represents this study’s contribution to the business performance measurement body of knowledge and practice.

The growth in cryptomarkets has reinvigorated the research on illicit drug distribution due to the availability of large-scale data. This data has enabled researchers to ask new and detailed questions about how participants in these markets trust each other enough for the market not to collapse. This question deserves more attention because it has become a taken-for-granted notion that repeated transactions and social categories create trust. Whether online or on the street, economic exchanges under illegality are more uncertain than transactions in the legal economy. This puts higher demands on trust, as there is less information and the stakes are higher. In this chapter, the author presents definitions, typologies, and disciplinary contributions to the study of trust and examine how it has been operationalised in a sample of 13 peer-reviewed articles. These articles focus on three dimensions of trust: process-based trust that derives from repeated transactions with known partners; character-based trust measured by the networked reputation scores; and institutional-based trust in the platform and its administrators. In practice, the trust bases are intertwined. Drawing on the broader social science literature on trust, a mesolevel operationalisation that centres on networked reputation scores as embedded in processes and institutions can draw the research together in a multidisciplinary framework.