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How can we explain the unresponsiveness of Internal Audit (IA) amid signs that fraud is arising and spreading within an organization? Internal auditors are entrusted with the formal responsibility of sounding the alarm about the risk of fraud and organizational wrongdoing. However, internal auditors failed to respond as the cross-sell fraud at Wells Fargo’s Community Bank (CB) Division unfolded over more than a decade, growing into a massive, full-fledged scandal. We examine IA as a profession and explore how the interpretation of three classic tenets of auditing (scope, compliance and materiality) may enable organizational wrongdoing to fester unattended until it erupts into yet another scandal. We conclude with implications for the socialization and practice of internal auditors, emphasizing the need for reflexivity and moral judgment in the interpretation and application of tenets so deeply ingrained in the IA profession.

This chapter describes practical lessons for leading transformational innovation in industrial firms. These lessons result from theory-building empirical research based on published studies and the authors’ personal observations. These latter are the results of interviews with over 100 senior managers. The research also discriminates between the capabilities for leading core, adjacent and transformational innovations. In practice, each form requires different leadership and skills to ensure success. In the past, firms that use this approach have been described as ambidextrous. However, this oversimplifies the situation rather than considering the continuum of innovation approaches within a firm necessary to ensure long-term sustainability. This is because firms must innovate long-term, deliver ongoing core innovation in their existing portfolio, and evolve their value propositions and business models through adjacent innovation.

The thin feminine body ideal in Western society has persisted, despite becoming less representative of the female population, with obesity rates consistently rising since the 1980s. Recently, the COVID-19 pandemic has exacerbated obesity rates, due to curtailed interventions, restricted mobility/enforced physical inactivity and increased reliance on processed food with a longer shelf life due to social isolation (World Obesity Foundation, n.d.). Individuals with obesity report weight discrimination in a broad range of settings, including employment, where researchers have documented weight discrimination in relation to hiring, job assignment, promotion, remuneration and work stability. Weight discrimination may be worse for jobs involving public interaction, particularly for women, because heavier women do not conform to societal body ideals, leading to weight stigmatisation such as anti-fat attitudes and beliefs (e.g. negative stereotypes) and prejudice. This chapter presents a systematic literature review of studies that have examined weight discrimination against women with obesity in jobs involving public interaction, i.e. ‘customer-facing roles’.

This chapter explores conflict in digital transformation as a leadership challenge. The authors maintain that conflicts cannot be left to HR managers; rather, they must be anticipated, handled adeptly and made a leadership priority. Although conflict resolution is a well-researched area, this is not the case for authentic leadership in digital transformation. Thus, the field is ripe for empirical research. Pitman and Reilly call for research on conflict in digital transformation, the role of leadership in averting and resolving conflicts and whether these roles change understanding of authentic leadership. The impact of AI warranting a revision of orthodox authentic leadership theory represents a further domain of potential research.

Knowledge management (KM) is an important topic in the age of big data, and this study adds to the existing body of literature by providing a novel KM perspective on the technological phenomenon of artificial intelligence (AI). This study aims to discover how AI might facilitate knowledge-based business-to-business (B2B) marketing. In this chapter, the authors take a close look at the building blocks of AI and the relationships between them. Future research directions and also the effects of the various market information building components on B2B marketing are discussed. The study’s approach is theoretical; it tries to provide a framework for characterising the phenomenon of AI and its constituent parts. Additionally, this chapter provides a methodical analysis of the three categories of market information crucial to B2B marketing: knowledge of customers, knowledge of users, and knowledge of external markets. This research looks at AI through the lens of the conventional data processing framework, analysing the six pillars upon which AI systems are founded. It also explained how the framework’s components work together to transform data into actionable information. In this chapter, the authors will look at how AI works and how it can benefit B2B knowledge-based marketing. It’s not aimed at AI experts but rather at general marketing managers. In this chapter, the possible effects of AI on B2B marketing are discussed using examples from the real world.

This classroom activity helps students tie together the concepts of absorption costing for inventory, selling and administrative (SA) cost calculations, and sales price decisions. It shows students how all costs fit together and are used to make business and pricing decisions, synthesizing discrete sections of most managerial or cost accounting books into a complete process. The activity is designed to be run in one 75-minute class session using an Excel template that allows students to focus on business decisions and less on the mechanics of completing calculations. The seven segments of the activity have students calculate target cost, allocate items of overhead into production and service departments, calculate absorption product cost, allocate SA to the production departments, determine the full cost, evaluate product viability, and calculate target price. At the end of the activity, students better understand how all these cost items fit together in a manufacturing setting.

The United Nations Industrial Development Organization (UNIDO) (2017, pp. 14–15) identified that “industrialization is the seedbed for entrepreneurship, business investment, technological progress, the upgrading of skills, and the creation of decent jobs.” This placed studying different industrial sectors and their respective clusters, which are key drivers for economy, innovation, and knowledge creation (Slaper, Harmon, & Rubin, 2018), at the forefront of research. This chapter tackles the automobile industrial cluster in Egypt that possesses promising potential yet faces some challenges. It aims to provide an overview of the cluster, alongside underpinning its strengths and obstacles facing it. Moreover, the chapter displays the importance of the labor dimension in increasing the labor competitiveness of the cluster and showcases this through two cases of German automobile manufacturers that pioneered in venturing into the market through employing technical and vocational education and training. In conclusion, recommendations are provided to help in steering the cluster toward success.

Digitalization and marketing technologies have made it possible to overcome some barriers to pricing – a multidisciplinary field between marketing, finance and IT – and have set the stage for a paradigm shift in the pricing profession. Value creation, the pricing process, and price communication have been transformed by innovative business models and advanced algorithmic and human–machine solutions. This chapter synthesizes the literature to date and provides a comprehensive framework for an all-encompassing 360° pricing approach that broadens the understanding of pricing in the context of digital business across all steps of the price management process. Starting from product attributes and motivational beliefs in consumers' value assessment and adoption of (technological or digital) products or services, new business models and pricing models emerge in the digital economy, human–machine solutions for price implementation and repricing are increasingly applied, and price search and communication take place through a variety of digital communication channels. Each stage of this framework discusses concrete examples, highlighting the freemium strategy, the subscription model, price tracking and repricing tools, and digital price information channels such as e-commerce, marketplace, or price comparison platforms. The implications for price management in a digital, technology-driven landscape are discussed from the executive level to the analyst level.

In recent times, the operating landscape of Small and Medium Enterprises (SMEs) environment can be described as constantly changing. Their performance is more dependent on the managers' ability to implement effective control/management practices suitable for their context and operating environment. Through a multi-site case study, we examine the peculiarities of control/management practices in four SMEs in the city of Bukavu to ascertain whether and how those practices contribute to SMEs' performance. Our findings indicate the predominance of informal practices, which include coordination methods similar to the balanced scorecard, budgeting practices, cost imputation, cash monitoring and inventory management. Compared to the results from literature, these practices did not differ much from those observed in the SMEs of developed countries and are likely to contribute to performance achievement, which corroborates the proposition of the contingency theory.