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New digital technologies are reshaping the business landscape and accounting work. This paper aims to investigate how incorporating more data and new data analytics (DA) tools impacts the role and use of judgment in financial due diligence (FDD).

The paper reports findings from a field study at a Big Four accounting firm in Sweden (“DealCo”). The primary data includes semi-structured interviews, observations and other meetings. Theoretically, it draws on Dewey’s The Logic of Judgments of Practise and Logic: The Theory of Inquiry and distinguishes between theoretical (what is probably true) and practical judgment (what to do).

In DealCo’s FDD practice, using more data and new DA tools meant that the realm of possibility had expanded significantly. To manage the newfound abundance and to use DA effectively, DealCo’s advisors invoked practical and theoretical judgments in different stages and areas of the data-driven FDD. The paper identifies four critical uses of judgment: Setting priorities and exercising restraint (practical judgment) and forming hypotheses and doing sense checks (theoretical judgment). In these capacities, practical judgment and theoretical judgment were essential in transforming raw data into actionable insights and, in effect, an indeterminate situation into a determinate one.

The study foregrounds the practical dimension of knowledge production for decision-making and contributes to a better understanding of the role, use and importance of accounting professionals’ judgment in a data-driven world.

The purpose of this paper is to contribute to a better, empirically grounded and theoretically informed understanding of data analytics (DA) use and nonuse in accounting for decision-making. To that end, it explores the links between accounting logic, commercial logic and DA use in financial due diligence (FDD).

The paper reports the findings of a case study of DA use in the FDD practice of a Big Four accounting firm in Sweden (Pseudonym: DealCo). The primary data comprises semistructured interviews, observations and additional meetings. Institutional logics is mobilized as method theory.

First, accounting logic and commercial logic both drove and hindered DA use in DealCo’s FDD practice in different ways. Second, conflicting prescriptions for DA use existed mostly within commercial logic rather than between accounting logic and commercial logic. Third, accounting logic and commercial logic, as perceptual and conceptual filters, seemed to shape DealCo’s advisors’ understanding of DA and give rise to an efficiency-centric DA logic. This logic, in turn, as a high-level model of how to use DA in the context of FDD, governed DA use broadly.

The paper draws attention to direct and indirect links between accounting logic and commercial logic, on the one hand, and DA conceptions and use, on the other hand. It, thereby, advances prior theorization of DA use in accounting for decision-making.

The purpose of this paper is to unravel the specific service quality dimensions that significantly influence startup survival, providing actionable insights for service managers and entrepreneurs.

Empirical data were collected from 372 service startups over a period of seven years. The Cox proportional hazard model was used to analyze the data.

The results indicate that the tangible dimension of service quality emerges as the most critical determinant of startup survival. Additionally, the reliability and responsiveness of the service also significantly affect startup survival. Furthermore, the assurance and empathy dimensions have a positive, albeit modest, influence on the survival prospects of service startups.

This study contributes to the service literature by investigating the relative importance of each dimension of service quality in relation to the survival of service startups.

The empirical findings empower service startups to make informed decisions, allocate resources judiciously and prioritize aspects of service quality that have a significant impact on their survival and success.

The social implications indicate the significance of service quality dimensions not only for the success of service startups but also for the overall well-being of customers, local economies and the competitive landscape of the service sector.

This study contributes to service science by uniquely highlighting the critical role of tangibles in startup survival, challenging conventional beliefs about the primacy of service reliability.

The data used to present this case was collected from secondary data sources. These sources included media reports associated with Michael Jordan and his trajectory since entering the sport, as well as specific information published about his time at the Chicago Bulls. Another key source of information is the ESPN documentary conducted specifically on Jordan’s relationship with his National Basketball Association (NBA) team.

The case follows the story of Michael Jordan, who took his team, the Chicago Bulls, to fame in a rather controversial manner. To do so, Michael Jordan had to alter his leadership style over the years to be respected as a leader and motivate his team to win one NBA championship after another. On 20th April 2020, ESPN’s “The Last Dance”, a 10-part documentary about Michael Jordan and his time playing for the Chicago Bulls was released to much acclaim. The documentary became highly noted as Jordan himself, both directed and starred in the documentary. Jordan’s great achievements stood out, but so did the conflicts that the basketball star had with The Bulls’ management team and mainly, his teammates. Relationships between teammates were far from harmonious, which led to questions around whether Michael Jordan was as good a leader, as he was a star player. Cultural change within the organisation was primarily linked to the often-contested leadership of Jordan.

The case can be used at UG, MSc and MBA levels. It works for in-person teaching and for online teaching. It is most suitable in leadership, strategy and strategy in practice courses. However, it is critical to note that the case can shed light on the dynamics that leaders and teammates have within their teams. Therefore, this case may be valuable to students studying courses where they themselves must work in groups and oftentimes encounter challenges in managing their team. These challenges can arise at all levels of experience. As such, the case provides particularly useful reflection for decision makers who may be beginning to develop their leadership skill (UG), those who have already experienced working in teams (MSc) or leading teams themselves (MBA, Executive MBA). The case addresses the challenges associated with achieving high team motivation and performance. It also sheds light on the challenges associated with leading a cultural change within a team and the approaches of different actors involved. It may be best to introduce the case in the context of a (1.5–2 h) workshop once students understand the basic frameworks and tools used to analyse leadership styles and their characteristics.

Drawing on trait activation theory, this study examines the influence of positive affectivity on employment predictions (e.g. the probability of obtaining an interview and being hired) via intrinsic motivation and network building on LinkedIn.

Multisource field data were collected from student job seekers (n = 179) searching for an internship over two points with a six-month time separation between the first and second data collection.

Structural equation modeling (SEM) analyses revealed marginal support for the mediating roles of intrinsic motivation and network building in positive affectivity’s indirect effect on employment predictions about the probability of obtaining an interview and being hired.

This study extends research on job search networking/selection by demonstrating the sequential process through which job seekers’ positive affectivity influences employment predictions, emphasizing the intermediary roles of intrinsic motivation and network building on LinkedIn.

Job seekers, recruiters and career counselors should consider network building on LinkedIn as a relevant expression of positive affectivity.

We apply trait activation theory as an overarching framework to examine how an affective between-person difference is expressed via intrinsic motivation and network building and is, at the same time, perceived and valued by employers on LinkedIn.

This paper investigates the motivations and challenges of women entrepreneurs in Ireland, assessing the role of policies and Enterprise Ireland (EI) support for women-led companies and high potential start-ups (HPSUs). It employs the gendered theory of entrepreneurship and opportunity recognition theory to analyse the enablers and obstacles to women’s entrepreneurship, particularly in the context of EI’s support, aiming to suggest improvements.

Grounded in a feminist epistemology and employing a mixed-methods approach, a targeted survey explores motivations, barriers and supports the needs of female entrepreneurs in Ireland, offering a comprehensive gender perspective evaluation for policy enhancement.

Findings note a shift in Irish women’s entrepreneurship motivations and outlines major hurdles like limited funding and work–life balance issues. It recommends policy enhancements in data collection, website usability, financial guidance and childcare support.

This paper aims to highlight the impact of gender-specific factors on entrepreneurship, the study highlights the importance of ongoing data collection and gender comparative analyses. It advocates for women mentoring networks and improved financial support to build a more inclusive entrepreneurial environment in Ireland, with potential global implications.

This study is unique for its in-depth exploration into Irish female entrepreneurship challenges, this study proposes actionable strategies with local and global relevance. Advocating for caregiving support integration and women’s increased involvement in tech, it offers a blueprint for fostering female entrepreneurship. It contributes to global discussions on creating supportive, equitable entrepreneurial ecosystems, serving as a valuable resource for advancing gender inclusivity and equity in entrepreneurship worldwide. It identifies scope for integration of a feminist epistemology in policy development.

The increased use of Information Systems (IS) as a working tool for employees increases the number of accounts and passwords required. Despite being more aware of password entropy, users still often participate in deviant password behaviors, known as “password workarounds” or “shadow security.” These deviant password behaviors can put individuals and organizations at risk, resulting in a data breach. This paper aims to engage IS users and Subject Matter Experts (SMEs), focused on designing, developing and empirically validating the Password Workaround Cybersecurity Risk Taxonomy (PaWoCyRiT) – a 2x2 taxonomy constructed by aggregated scores of perceived cybersecurity risks from Password Workarounds (PWWAs) techniques and their usage frequency.

This research study was a developmental design conducted in three phases using qualitative and quantitative methods: (1) A set of 10 PWWAs that were identified from the literature were validated by SMEs along with their perspectives on the PWWAs usage and risk for data breach; (2) A pilot study was conducted to ensure reliability and validity and identify if any measurement issues would have hindered the results and (3) The main study data collection was conducted with a large group of IS users, where also they reported on coworkers' engagement frequencies related to the PWWAs.

The results indicate that statistically significant differences were found between SMEs and IS users in their aggregated perceptions of risks of the PWWAs in causing a data breach, with IS users perceiving higher risks. Engagement patterns varied between the two groups, as well as factors like years of IS experience, gender and job level had statistically significant differences among groups.

The PaWoCyRiT taxonomy that the we have developed and empirically validated is a handy tool for organizational cyber risk officers. The taxonomy provides organizations with a quantifiable means to assess and ultimately mitigate cybersecurity risks.

Passwords have been used for a long time to grant controlled access to classified spaces, electronics, networks and more. However, the dramatic increase in user accounts over the past few decades has exposed the realization that technological measures alone cannot ensure a high level of IS security; this leaves the end-users holding a critical role in protecting their organization and personal information. Thus, the taxonomy that the authors have developed and empirically validated provides broader implications for society, as it assists organizations in all industries with the ability to mitigate the risks of data breaches that can result from PWWAs.

The taxonomy the we have developed and validated, the PaWoCyRiT, provides organizations with insights into password-related risks and behaviors that may lead to data breaches.

The application of lean and quality improvement methods is very common in process improvement projects at organisational levels. The purpose of this research is to assess the adoption of Lean Six Sigma™ approaches for addressing a complex process-related issue in the coal industry.

The sticky coal problem was investigated from the perspective of process-related issues. Issues were addressed using a blended Lean value stream of supply chain interfaces and waste minimisation through the Six Sigma™ DMAIC problem-solving approach, taking into consideration cross-organisational processes.

It was found that the tendency to “solve the problem” at the receiving location without communication to the upstream was, and is still, a common practice that led to the main problem of downstream issues. The application of DMAIC Six Sigma™ helped to address the broader problem. The overall operations were improved significantly, showing the reduction of sticky coal/wagon hang-up in the downstream coal handling terminal.

The Lean Six Sigma approaches were adopted using DMAIC across cross-organisational supply chain processes. However, blending Lean and Six Sigma methods needs to be empirically tested across other sectors.

The proposed methodology, using a framework of Lean Six Sigma approaches, could be used to guide practitioners in addressing similar complex and recurring issues in the manufacturing sector.

This research introduces a novel approach to process analysis, selection and contextualised improvement using a combination of Lean Six Sigma™ tools, techniques and methodologies sustained within a supply chain with certified ISO 9001 quality management systems.

A “state-driven” approach suggests that colonists use census categories to rule. However, a “society-driven” approach suggests that this state-driven perspective confers too much power upon states. A third approach views census-taking and official categorization as a product of state–society interaction that depends upon: (a) the population's lay categories, (b) information intellectuals' ability to take up and transform these lay categories, and (c) the balance of power between social and state actors. We evaluate the above positions by analyzing official records, key texts, travelogues, and statistical memoirs from three key periods in India: Indus Valley civilization through classical Gupta rule (ca. 3300 BCE–700 CE), the “medieval” period (ca. 700–1700 CE), and East India Company (EIC) rule (1757–1857 CE), using historical narrative. We show that information gathering early in the first period was society driven; however, over time, a strong interactive pattern emerged. Scribes (information intellectuals) increased their social status and power (thus, shifting the balance of power) by drawing on caste categories (lay categories) and incorporating them into official information gathering. This intensification of interactive information gathering allowed the Mughals, the EIC, and finally British direct rule officials to collect large quantities of information. Our evidence thus suggests that the intensification of state–society interactions over time laid the groundwork for the success of the direct rule British censuses. It also suggests that any transformative effect of these censuses lay in this interactive pattern, not in the strength of the British colonial state.