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This chapter offers a dynamic model of authentic leadership that links authentic leadership to situational leadership theory and shows how dynamics in the academic environment, one of the most difficult settings that leaders face, can be addressed. Kindsiko and Vadi detail the concept of situational authenticity, which reveals how authentic leadership takes place via forms of sensing – sense-giving, sense-making, sense-breaking and sense-keeping – in work-related situations. The authors highlight questions for future research: Is sensing the key to success? Are situational ethics valid if they adapt to evolving circumstances? Are situational ethics, in effect, just another way of expressing relativism? If so, can that be reconciled with authentic leadership theory?

Digital platforms increase their function and scope by leveraging boundary resources and complementary add-on products from third-party developers to interact with external entities and producers. Application Programming Interfaces (APIs) are essential boundary resources developers use to connect applications, systems and platforms. This notwithstanding, previous API studies tend to focus more on the technical dimensions, with little on the social and cultural contexts underpinning API innovations. This study relies on the new (neo) institutional theory (focusing on regulative, normative and cultural-cognitive pillars) as an analytical lens to understand the institutional forces that affect API integration among digital firms.

The study adopts a qualitative case study methodology and relies on phone calls and a semi-structured in-depth interview approach of a Ghanaian digital music platform to uncover the institutional forces affecting API integration.

The findings reveal that regulative institutions such as excessive tax regimes mostly constrained API development and integration initiatives. However, other regulative institutions like the government digitalization agenda enabled API integration. Normative institutions, such as the growing use of e-payment options, enabled API integration in digital music platforms. Cultural-cognitive institutions like employee ego constrained the API integration process in music digital platforms.

This study primarily contributes to deepening understanding of the relevant literature by exploring the institutional forces that affect API integration among digital firms in a developing economy. The study also uncovered a new form of an institution known as motivational institution as an enabler for API development and integration in digital music platforms.

This chapter conceptualises a link between Industrial Revolution 4.0 (IR 4.0), big data, data science and sustainable tourism.

The author adopts a grounded theory and conceptual approach to endeavour in this exploratory research.

The outcome shows a significant rise of big data in the tourism sector under three major dimensions, i.e. business, governance and research. And, some exemplary evidence of institutions promoting the use of big data and data science for sustainable tourism has been discussed.

The conceptualised interlinkage of concepts like IR 4.0, big data, data science and sustainable development provides a valuable knowledge resource to policy-makers, researchers, businesses and students.

The objective of this chapter is to discuss how different techniques in Regional Science and Peace Science and the emerging techniques in Management Science can be used in analysing Disaster Management and Global pandemic with special reference to developing countries. It is necessary for me to first discuss the subjects of Disaster Management, Regional Science, Peace Science and Management Science. The objective of this chapter is to emphasise that the studies of Disaster Management should be more integrated with socioeconomic and geographical factors. The greatest disaster facing the world is the possibility of war, particularly nuclear war, and the preparation of the means of destruction through military spending.

Case study research has been applied across numerous fields and provides an established methodology for exploring and understanding various research contexts. This paper aims to aid in developing methodological rigor by investigating the approaches of establishing validity and reliability.

Based on a systematic review of relevant literature, this paper catalogs the use of validity and reliability measures within academic publications between 2008 and 2018. The review analyzes case study research across 15 peer-reviewed journals (total of 1,372 articles) and highlights the application of validity and reliability measures.

The evidence of the systematic literature review suggests that validity measures appear well established and widely reported within case study–based research articles. However, measures and test procedures related to research reliability appear underrepresented within analyzed articles.

As shown by the presented results, there is a need for more significant reporting of the procedures used related to research reliability. Toward this, the features of a robust case study protocol are defined and discussed.

This paper aims to suggest a multi-theoretical explanation using a success story to explain psychological well-being (PWB) among employees of K.C, a small enterprise found in Uganda, a developing country in Africa.

The study used qualitative methodology. Based on in-depth interviews with K.C employees, a story was developed describing the practical experience, focusing on the context, actions, results and lessons learnt. Regarding the sample size, the saturation point was attained on the seventh participant.

Findings reveal that employees that possess psychological capital set targets and generate avenues that allow them to achieve set goals, with personal initiative that makes them proactive to accomplish work tasks and individual adaptability that enables them to adjust their emotions and behavior to fit in a complex working environment, which makes them to think, feel and act positively. Furthermore, several theories, including broaden and build, personal initiative and complex adaptive systems theory, explain the manifestations of PWB of employees in small enterprises.

The study was limited by focusing on the context of a small enterprise. Future research may investigate other study contexts whose findings might be different. In addition, the study being hypothetical lacked statistical testing. It would be a meaningful effort if future studies statistically tested the suggested model. Irrespective of the limitations, the findings of this study remain significant.

In practice, employees may replicate these findings to nurture PWB which eventually contributes to enterprises’ success. This could provide answers to the psychological challenges experienced by employees of small enterprises, especially in the African developing countries like Uganda where this is a major challenge. Specifically, the workers of K.C enterprise may depend on their PWB to deal with workplace challenges and sustain the enterprise’s performance.

Socially, there is need to embrace positive social relationships among employees at the work place which will translate into well-being of society.

This paper is exceptional because it uses a success story showing practical experiences of how PWB of employees in small enterprises is nurtured in Uganda. In addition, a multi-theoretical perspective is used to explain the manifestations in the story, which is the greatest contribution of this paper. Further, a conceptual model is still proposed, depicting psychological capital, personal initiative and individual adaptability as antecedents of PWB.

This study develops a computational method to investigate the predominant language styles in political discussions on Twitter and their connections with users' online characteristics.

This study gathers a large Twitter dataset comprising political discussions across various topics from general users. It utilizes an unsupervised machine learning algorithm with pre-defined language features to detect language styles in political discussions on Twitter. Furthermore, it employs a multinomial model to explore the relationships between language styles and users' online characteristics.

Through the analysis of over 700,000 political tweets, this study identifies six language styles: mobilizing, self-expressive, argumentative, narrative, analytic and informational. Furthermore, by investigating the covariation between language styles and users' online characteristics, such as social connections, expressive desires and gender, this study reveals a preference for an informational style and an aversion to an argumentative style in political discussions. It also uncovers gender differences in language styles, with women being more likely to belong to the mobilizing group but less likely to belong to the analytic and informational groups.

This study provides insights into the psychological mechanisms and social statuses of users who adopt particular language styles. It assists political communicators in understanding their audience and tailoring their language to suit specific contexts and communication objectives.

This study reveals gender differences in language styles, suggesting that women may have a heightened desire for social support in political discussions. It highlights that traditional gender disparities in politics might persist in online public spaces.

This study develops a computational methodology by combining cluster analysis with pre-defined linguistic features to categorize language styles. This approach integrates statistical algorithms with communication and linguistic theories, providing researchers with an unsupervised method for analyzing textual data. It focuses on detecting language styles rather than topics or themes in the text, complementing widely used text classification methods such as topic modeling. Additionally, this study explores the associations between language styles and the online characteristics of social media users in a political context.