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Leadership cannot exist without followership. The phenomenon of direction and guidance, coaching and mentoring, has at least three components: the leader, leadership, and followers. With each component, the composition of purpose and goals, ethics and morals, rights and duties, and skills and talents is critically important. While the leader is the central and the most important part of the leadership phenomenon, followers are important and necessary factors in the leadership equation. Leaders and followers are engaged in a common enterprise: they are dependent upon each other; their fortunes rise and fall together. Relational qualities define the leadership–followership phenomenon. A major component of such a relationship is how the leaders create and communicate new meaning to followers, perceive themselves relative to followers, and how the followers, in turn, perceive their leader. This mutual perception has serious ethical and moral implications – how leader uses or abuses power, and how followers are augmented or diminished. This chapter features the essentials of ethical and moral, corporate executive leadership in two parts: (1) the Theory of Ethical and Moral Leadership and (2) the Art of Ethical and Moral Leadership. Several contemporary cases such as inspirational leadership of JRD Tata, Crisis of Leadership at Infosys, and Headhunting for CEOs will illustrate our discussions on the ethics and morals of corporate executive leadership.

With the proliferation of international education initiatives, research into the transfer of pedagogy across cultures is essential to ensure that quality education is delivered in a culturally accessible form. One of the factors impeding such research is the lack of widely accepted theoretical frameworks (Dimmock & Walker, 2005). This paper examines the development and effectiveness of a cross cultural framework that was used to compare a Business program at a Canadian College with its branch campus in Qatar (Prowse & Goddard, 2010). Findings are compared to results in the literature to gauge the robustness of the framework. The framework developed in the study was found to be a helpful means of allowing a comparison of pedagogy across two cultures.

This study aims to examine the links between office types (cellular, shared-room, small and medium-sized open-plan) and employees' subjective well-being regarding cognitive and affective evaluations and the role perceived noise levels at work has on the aforementioned associations.

A survey with measures of office types, perceived noise levels at work and the investigated facets of subjective well-being (cognitive vs affective) was distributed to employees working as real estate agents in Sweden. In total, 271 useable surveys were returned and were analyzed using analyses of variance (ANOVAs) and a regression-based model mirroring a test of moderated mediation.

A significant difference was found between office types on the well-being dimension related to cognitive, but not affective, evaluations. Employees working in cellular and shared-room offices reported significantly higher ratings on this dimension than employees working in open-plan offices, and employees in medium-sized open-plan offices reported significantly lower cognitive evaluation scores than employees working in all other office types. This pattern of results was mediated by perceived noise levels at work, with employees in open-plan (vs cellular and shared-room) offices reporting less satisfactory noise perceptions and, in turn, lower well-being scores, especially regarding the cognitive (vs affective) dimension.

This is one of the first studies to compare the relative impact of office types on both cognitive and affective well-being dimensions while simultaneously testing and providing empirical support for the presumed process explaining the link between such aspects.

The purpose of this paper is to understand the nomological network of associations between collective mindfulness and big data analytics in fostering resilient humanitarian relief supply chains.

The authors conceptualize a research model grounded in literature and test the hypotheses using survey data collected from informants at humanitarian aid organizations in Africa and Europe.

The findings demonstrate that organizational mindfulness is key to enabling resilient humanitarian relief supply chains, as opposed to just big data analytics.

This is the first study to examine organizational mindfulness and big data analytics in the context of humanitarian relief supply chains.

Effective policy to support business ecosystems should build on evidence-based analyses of firm-level activities and outcomes. This paper aims to contribute to this requirement and makes three contributions. The first contribution is to extend the application of the network capital concept to a variety of eight distinct linkage categories (e.g. suppliers, customers and business support agencies) that support networking and clustering, in both activity and impact terms. The second contribution is outlining a novel method of network visualisation (V-LINC) based on the collection of primary and qualitative data. The third contribution is in applying the method to one cluster, information and communications technologies.

Qualitative research on the nature and extent of organisational network linkages was undertaken. Structured interviews with a set of focal firms followed a tailored design approach. The concept of network capital was extended and applied to the cluster context by measuring network inputs and output (i.e. investments and impact). The approach was operationalised via a novel impact measurement approach, denoted as V-LINC, an acronym for visualising linkages in networks and clusters.

The authors develop a business impact framework exploiting novel linkage visualisations and qualitative data from firms in a cluster in one city region across eight linkage types to capture distinct network capital elements. Organisational inputs into network development, measured as investment and involvement indicators and organisational outcomes from those networks, measured as importance and intensity indicators, are used to assess network performance. A comprehensive, systematic and robust analysis of network elements and performance is possible. Distance is found to interact differently across linkage types. Targeted recommendations may be made from the analysis of local or regional business ecosystems in light of measured business impacts of linkages.

Due to the resource-intensive nature of data collection, the current study engages a limited sample of firms and interviewees. Applications of this approach in other contexts will permit further research into its usefulness in evaluating business impacts generated through networking activities.

The method introduced here (V-LINC) offers a novel means to include both geography network theory into an understanding of knowledge relationships and networks within clusters. Accounting for both distance and linkage type reveals which categories of intra-regional and extra-regional linkages generate the greatest impact, given their frequency. The approach adds to available cluster visualisation and analysis approaches through identifying patterns of disaggregated knowledge flows and their impacts, with application to evaluation demands of policy.