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Many psychological, cultural, and social barriers exist that impact Black male participation in the workforce. In this chapter, authors discuss the impact that mentorship, racism, society, culture, economics, and other pertinent factors have on the career development of Black men. This chapter examines programs and strategies that effectively address the career development needs of Black men. A review of counseling interventions and their applicability to career counseling with Black men are presented. Emerging trends in career development for Black men are also discussed. In addition, provided in this chapter are personal narratives given by the authors who contextualize their career development experiences through culturally-specific career development theoretical frameworks. Lastly, implications for research, counseling, counselor education, and policy, as well as recommendations for professional development are offered.

This study aims to explore human–machine interactions in the process of adopting artificial intelligence (AI) based on the principles of Taylorism and digital Taylorism to validate these principles in postmodern management.

The topic has been investigated by means of a case study based on the current experience of Carrozzeria Basile, a body shop born in Turin in 1970.

The Carrozzeria Basile’s approach is rooted in scientific management concepts, and its digital evolution is aimed at centring humans, investigating human–machine interactions and how to take advantage of both of these.

The research contributes to both Taylorism management and the literature on human–machine interactions. A unique case study represents a first step in comprehending the phenomenon but could also represent a limit for the study.

Practical implications refer to the scientific path to facilitate the implementation and adoption of emerging technologies in the organisational process, including employee engagement and continuous employee training.

The research focuses on human–machine interactions in the process of adopting AI in the automation process. Its novelty also relies on the comprehension of the needed path to facilitate these interactions and stimulate a collaborative and positive approach. The study fills the literature gap investigating the interactions between humans and machines beginning with their historical roots, from Taylorism to digital Taylorism, in relation to an empirical scenario.

The purpose of this study is twofold: first, to determine if pharmaceutical companies can be grouped based on their espoused values, and second, to examine the relationship between these values and company reputation.

A descriptive study design is used with two separate analyses: cluster analysis for grouping the companies; and descriptive data analysis for determining cluster differences.

The findings suggest that there are three value clusters: competent, community and interpersonal, with the community group showing the highest relative reputation, and the interpersonal cluster as the lowest. Brand portfolio composition appears to positively contribute to reputation. The effect of portfolio specialization is based on a company’s closeness to its therapeutic community, which may be influenced by the outward characteristics of its values.

Future research should examine the longitudinal effects of values on reputation combined with case studies.

Regardless of cluster classification, all firms should develop strong ties with their therapeutic communities using both personal and digital/omnichannel strategies.

A company’s values are becoming an important consideration for all customers and stakeholders.

To the best of the authors’ knowledge, this study is the first to systematically examine the activities of leading pharmaceutical firms to link a specific value cluster to company reputation.

The study aims to highlight and understand, and bring the human agency into the debate on the theory of normative control. While, the previous literature has highlighted the problem of the missing subject. However, the actual human agency in terms of agential properties has not been seriously addressed. This study is an attempt to overcome this problem of the missing subject.

A two-phase design inspired by retroductive inference was adopted for this study. In the first phase, abduction was used to explore the literature on normative control to highlight the forces of attraction, which may pull the employees to participate willingly within normative control systems. In the second phase, following retroductive inference, agential explanations of the forces of attraction identified in the first phase were explored by venturing into other related fields, e.g. psychology and sociology.

The study highlights four strategies used by organizations using normative control, i.e. comfort zoning, relational bonding, moral trapping and elitist appeal. These strategies rely on attractive forces. These forces of attraction pull employees to participate in the normative control system. The attractive element in the identified strategies is due to the fact that these strategies target specific agential properties, i.e. the need for comfort, sense of belonging, moral agency and pride. Overall, the findings suggest that individuals drive their concerns from culture but in relation to their capacity as needy beings for being enculturated.

Theoretically, this study adds conceptual strength to the explanations of normative control. It is suggested that neglect of human agency renders explanations conceptually weak. The study fills this gap in the research. Practically, this study would be beneficial for better design and implementation of normative control. Several studies have pointed out that normative control does not yield the intended results. Out of many reasons, a lack of understanding of human agency is a major cause of unsuccessful attempts to normatively control employees. This study provides some basis to understand the human subject for better design of soft systems of control.

To the best of the authors’ knowledge, this is the first research study that explores agential properties with reference to normative control systems. This study is important for researchers and practitioners.

This study aims to investigate how entrepreneurial anxiety develops during the entrepreneurial intention stage in a developing country such as Bangladesh, where doing business has long been a challenge, and examine how individuals manage their entrepreneurial anxiety. Indeed, understanding how anxiety is formed when individuals decide to start a business has been a challenge, because such a decision is influenced by both individual and contextual factors.

This study applies thematic analysis to examine how individuals experience and react to entrepreneurial anxiety in a developing country context when they make a decision to start a business using data from 30 in-depth semistructured interviews with 20 aspiring and 10 active entrepreneurs. All participants are Bangladeshi nationals.

Consistent with earlier studies, the findings of this study revealed that entrepreneurial anxiety is regarded as a type of distress, doubt, fear, uneasiness and worry. Moreover, 11 distinct sources of entrepreneurial anxiety were identified, suggesting that some individuals develop problem-focused coping strategies to stay firm on their decision to start a business as planned, whereas others procrastinate.

The findings add new dimensions to the theory of entrepreneurial anxiety and offer practical implications for aspiring entrepreneurs, policymakers, parents and society as a whole.

This study contributes to an underexplored area of emotion in entrepreneurship by conceptualizing how entrepreneurial anxiety develops during a specific stage of the entrepreneurial process, that is, entrepreneurial intention.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.

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 study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.