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With today’s business faculty being tasked with making meaningful contributions to their community, corporate stakeholders, as well as in research and student learning, this makes faculty engagement and performance outputs key to metrics of college success. Therefore, the purpose of this paper is to understand how faculty engage in shared governance at the college level is important to ensure success of the college.

The authors searched for research that examined governance structures in colleges of business and found this has received scant attention. After reviewing the research examining university governance, the authors evaluate how faculty engage in shared governance at the college level.

The authors identify four categories of decision-making that often involve shared governance and outline different shared governance options for colleges of business, along with their pros and cons. The authors posit that the most appropriate governance approach for a college of business depends upon the college’s external environment, culture and other contextual dimensions. Finally, guidance for future research and practice, including considerations for changing governance, is provided.

How colleges of business operationalize their governance structures has received scant attention in the management literature.

Teacher retention and continued teacher growth and development have long been critical global issues in education. The recent pandemic crisis and subsequent “great resignation” (Lodewick, 2022) have returned our attention to the need for positive and enriching educational landscapes that promote teacher collaborative reflection, knowledge, and growth in order to sustain teachers in the field. This chapter explores the ongoing teacher learning that has occurred within two knowledge communities (Craig, 1995b) in the United States. It begins with an overview of Craig's early work with teachers, during which her conceptualization of knowledge communities emerged. According to Craig, knowledge communities are safe, collaborative spaces that cohere around teachers' intra/inter-school dialogue and their storying/restorying (Clandinin & Connelly, 1996, 1998) of experiences. Additionally, knowledge communities (Craig, 1995b) begin with originating events, allow teachers' experiences (Dewey, 1938) to resonate with others in the group, feature reciprocity of members' mindful responses, and promote the development of shared ways of knowing. Equally important, knowledge communities evolve and change, fuel ongoing reflection in community, and bring moral horizons into view. Employing these knowledge community qualities as our lens, we examine the interactions of the Portfolio Group and the Faculty Academy. The Portfolio Group is a teacher/teacher educator/researcher group formed in 1998 during a US education reform era (Craig, Curtis et al., 2020). Its sister group, the Faculty Academy, is a cross-institutional, cross-discipline higher education group of teacher educators/researchers formed in 2002 (Craig, Turchi et al., 2020). Employing a parallel stories representation (Craig, 1999), exemplars (Mishler, 1990) from both groups show how teacher collaborative groups have the capacity to be safe spaces in which critical professional dialogue, reflective exchanges, and generous scholarship occur among members. Furthermore, they are nurturing spaces in which teachers can thrive and be their best-loved selves (Craig, 2013; Schwab, 1954/1978). These two groups exemplify the ways in which knowledge communities support teacher collaboration, promote ongoing teacher growth and development, and foster teacher sustainability.

Although risk culture is a key determinant for an effective risk management, identifying the risk culture of a firm can be challenging due to the abstract concept of culture. This paper proposes a novel approach that uses unsupervised machine learning techniques to identify significant features needed to assess and differentiate between different forms of risk culture.

To convert the unstructured text in our sample of banks' 10K reports into structured data, a two-dimensional dictionary for text mining is built to capture risk culture characteristics and the bank's attitude towards the risk culture characteristics. A principal component analysis (PCA) reduction technique is applied to extract the significant features that define risk culture, before using a K-means unsupervised learning to cluster the reports into distinct risk culture groups.

The PCA identifies uncertainty, litigious and constraining sentiments among risk culture features to be significant in defining the risk culture of banks. Cluster analysis on the PCA factors proposes three distinct risk culture clusters: good, fair and poor. Consistent with regulatory expectations, a good or fair risk culture in banks is characterized by high profitability ratios, bank stability, lower default risk and good governance.

The relationship between culture and risk management can be difficult to study given that it is hard to measure culture from traditional data sources that are messy and diverse. This study offers a better understanding of risk culture using an unsupervised machine learning approach.

The corporate communications literature recently raised the question, “Board gender diversity and women in leadership positions – are quotas the solution?” This paper extends the debate by asking, “What is an equitable target percentage for women on corporate boards?”

The paper explores and gives a conceptualised viewpoint on the issues expressed in the literature concerning the meaning of board gender equality, focussing on what is regarded as an equitable number of women on corporate boards.

The arguments and questions raised in this paper highlight the difficulty in answering the research question. The question will only be answered when it no longer needs to be raised. In other words, when gender equality is no longer seen as an issue and men and women are treated equally, when qualifications, experience and ability are the key issues on board selection, not gender. Highlighting gender inequality issues by setting target figures may in itself deter some women from seeking board-level promotion. The target should not just be to place women in what is currently a masculinised board culture but to change this culture to reflect non-masculinity.

This paper can guide practitioners in their policy-making decisions on corporate board gender diversity and refocus the minds of academics on such an important issue. It should also help change the hegemonic understanding of leadership and thus influence recruitment policy.

This is believed to be the first paper to give a conceptualised viewpoint on the issue of targets concerning the number of women on corporate boards and brings into perspective the wide variation highlighted in the literature. It adds to the current debate on board gender diversity and the lack of women on corporate boards by highlighting the questions regarding gender targets. A research opportunity lies in exploring this paper's conceptual issues and questions by soliciting the views of male and female management students and corporate directors.

The aim of this chapter is to provide an overview of the student mental health crisis in Higher Education (HE), and how resilience and grit, two important positive psychological constructs, can be beneficial for university students’ success and wellbeing. As part of a discussion around some of the current approaches to intervening in wellbeing in universities, the chapter provides evidence for the use of PPIs for wellbeing in university students, alongside some of the challenges of implementing these in HE. It also provides an overview of the Thriving Students Framework and presents a case for a multicomponent approach to monitoring and improving educational success. In particular, a wellbeing framework that, alongside resilience, also recognises the importance of strengths, persistence in the face of difficulty, a growth mindset, self-control and mental wellbeing; Academic Tenacity. The implications of utilising this framework for educational attainment in university students are discussed. The Bolton Uni-Stride Scale (BUSS), a single short measure of academic tenacity that combines the attributes enabling measurement and intervention to support university students to thrive, is also presented for educators to use.

Existing literature has begun to identify the agonistic and contested aspects of the ongoing development of accountability systems. These “contests” are particularly important during periods of change when an accountability “deficit” has been identified, that is, when existing accountability systems are deemed inadequate and requiring revision. The purpose of this paper is to explore one such set of contests in the case of large technology and social media firms: the so-called “big tech”. The authors focus specifically on “big tech” because of increasing societal concerns about the harms associated with their products, services and business practices.

The authors analysed four US Congressional hearings, in which the CEO of Facebook was held to account for the company's alleged breaches and harms. The authors conducted a discourse analysis of the dialogue between the account giver (Mark Zuckerberg) and account holders (Members of Congress) in the oral testimony at the four hearings.

Two areas of contestation in the dialogue between the account giver and account holders are identified. “Epistemic contests” involved contestation about the “facts” concerning the harms the company had allegedly caused. “Responsibility contests” involved contestation about who (or what) should be held responsible for these harms and according to what standards or criteria.

The study advances critical dialogical accountability literature by identifying two areas of contestation during periods of change in accountability systems. In so doing, they advanced the theory by conceptualising the process of change as underpinned by discursive contests in which multiple actors construct and contest the “problem” with existing accountability systems. The outcomes of these contests are significant, the authors suggest, because they inform the development of reforms to the accountability system governing big tech firms and other industries undergoing similar periods of contestation and change.

It is crucial for the Indian micro, small and medium enterprises (MSMEs) to implement a few of the most important Industry 4.0 (I4.0) technologies and reap maximum benefits of sustainability. This paper aims to prioritize I4.0 technologies that can help achieve the sustainable operations and sustainable industrial marketing performance of Indian manufacturing MSMEs.

I4.0-based sustainability model was developed. The model was analyzed using data collected from MSMEs by deploying analytic hierarchy process and utility-function-based goal programming. To have a better understanding, interviews were conducted.

Predictive analytics, machine learning and real-time computing were found to be the most important I4.0 technologies for sustainable performance. Sensitivity analysis further confirmed the robustness of the results. Business-to-business sustainable marketing is prioritized as per the sustainability need of operations of industrial MSME buyers.

This study uniquely integrates literature and practitioners’ insights to explore I4.0’s role in MSMEs sustainability in emerging economies. It fills a research gap by aligning sustainability goals of industrial buyers with suppliers’ marketing strategies. Additionally, it offers practical recommendations for implementing technologies in MSMEs, contributing to both academia and industry practices.

Exploiting an innovative measure of corporate culture based on machine learning and earnings conference calls, this study aims to investigate how corporate culture is influenced by hostile takeover threats. To sidestep endogeneity, this study uses a unique measure of takeover vulnerability principally based on the staggered implementation of state legislations, which are plausibly exogenous.

In addition to the standard regression analysis, this study also executes a variety of other empirical tests such as propensity score matching, entropy balancing and an instrumental variable analysis, to demonstrate that the results are robust. The final sample includes 27,663 firm-year observations from 4,092 distinct companies from 2001 to 2014.

This study documents that more takeover exposure weakens corporate culture considerably, consistent with the managerial myopia hypothesis. Threatened by the takeover risk, managers tend to behave myopically and are less likely to make long-term investments that promote strong corporate culture in the long run. Additional analysis focusing on a culture of innovation, which is especially vulnerable to managerial myopia, produces similar evidence.

To the best of the authors’ knowledge, this study is the first to explore the effect of takeover susceptibility on corporate culture using a distinctive metric of corporate culture based on textual analysis.

This research paper aims to investigate detailed relationships between market selection and product positioning decisions and their associated short- and long-term product performance outcomes in the context of the music category: a cultural goods industry with high amounts of product introductions. Market selection decisions are defined by the size, competitiveness and age of market subcategories within an overall product category. Positioning decisions include where a product’s attributes are located spatially in the category (periphery versus the market center), whether a product resides within a single subcategory or spans multiple ones and what brand strategy (single versus co-branding) is used.

Data are from multiple sources for the US music industry (aka product category) from 1958 to 2019 to empirically test the hypotheses: genres (rock, blues, etc.) correspond to subcategories; artists to brands; and songs to products. Regression analyses are used.

A complex set of nuanced results are generated and reported, finding that key marketing decisions drive short-term new product success differently and frequently in opposing ways than long-term success. Launching into very new, well-established or very competitive markets leads to the strongest long-term success, despite less attractive short-run prospects. Positioning a product away from the market center and spanning subcategories similarly poses short-run challenges, but long-run returns. Brand collaborations have reverse effects. Short-run product success is found, overall, to be difficult to predict even with strong data inputs, which has substantial implications for how firms should manage portfolios of products in cultural goods industries. Long-run product success is considerably more predictable after short-run success is observed and accounted for.

While managers and firms in cultural goods industries have long relied on intuition to manage market selection and product positioning decisions, this research tests the hypothesis that objective data inputs and empirical modeling can better predict short- and long-run success of launched products. Specific insights on which song characteristics may be associated with success are found – as are more generalizable, industry-level results. In addition, by distinguishing between short- and long-run success, a more complete picture on how key decisions holistically affect product performance emerges. Many market selection and product positioning decisions have differential impacts across these two frames of reference.

A central question of public administration is how political principals secure the cooperation of administrators within organisational frames and contexts; increasingly, rational influences are being considered alongside bounded rationality and non-rational influences. This paper aims to explore the intent of New Zealand’s Public Service Act 2020 in managing administrative behaviour.

The methodology is primarily ethnographic, combining emic and etic perspectives. A mixed-methods approach comprises participant observer field notes and meeting documentation, substantiated by official documents; documents were analysed thematically and triangulated with other data sources.

The Public Service Act introduces new bounds on administrative behaviour. The stated rationale for these changes reveals an attempt to set limits on the principal–agent relationship between politicians and administrators and causes predictable deviations from rational behaviour by cultivating public service motivation and a unified public service identity.

As the legislation in question was only passed in 2020, it is too early to definitively assess the ultimate impact of legislation on administrative behaviour. This case study demonstrates that behavioural approaches to public administration are being applied intentionally by governments. The choice architecture created in the case study blends rational, bounded, and non-rational influences. Together, this produces a bricolage of semi-relevant theories from other disciplines, especially psychology, to explain administrative behaviour. Further refinement is needed to develop a cohesive and comprehensive theory of administrative behaviour that can account for contemporary practice.

Administrators act as agents of political principals, within ethical and rules-based limitations and influenced by public service motivation and social identity. Shifting from implicit to explicit choice architecture does not negate possible tensions between bounds and can signal them more explicitly. Shared symbols are sometimes intended to influence identity and therefore adherence to behavioural norms.

This paper explores the manipulation of choice architecture as a viable strategy for altering behaviour for the better and, to the best of the authors’ knowledge, is the first known instance of choice architecture being “legislated in” rather than merely “showing through”. This study illustrates the blending of rational, boundedly rational and non-rational factors into a choice architecture for public administrators that help mediate the biases and challenges of principal–agent relationships (which form a cascade in New Zealand’s public administration system).