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In this chapter, the authors critically examine the application of unmeasured latent method factors (ULMFs) in human resource and organizational behavior (HROB) research, focusing on addressing common method variance (CMV). The authors explore the development and usage of ULMF to mitigate CMV and highlight key debates concerning measurement error in the HROB literature. The authors also discuss the implications of biased effect sizes and how such bias can lead HR professionals to oversell interventions. The authors provide evidence supporting the effectiveness of ULMF when a specific assumption is held: a single latent method factor contributes to the data. However, the authors dispute this assumption, noting that CMV is likely multidimensional; that is, it is complex and difficult to fix with statistical methods alone. Importantly, the authors highlight the significance of maintaining a multidimensional view of CMV, challenging the simplification of a CMV as a single source. The authors close by offering recommendations for using ULMFs in practice as well as more research into more complex forms of CMV.

Ethical principles and practices frequently support the position that people with disability are vulnerable. Vulnerability in research traditionally infers a need for protection from harm and raises questions over the person’s capacity to consent and engage. In addition, vulnerability in ethics infers a state of permanency and one that is all-encompassing for everyone within the vulnerable groups. This construction of vulnerability in effect legitimises the exclusion of people with disability from research or monitors and restricts how people with disability can engage in research. This results in an implicitly ableist environment for research. In this chapter, which has been led by researchers with disability, we argue that there is a critical need to move beyond a popularised social construction of vulnerability which serves to perpetuate barriers to including people with disability in research. Like all terms, the traditional and popular construction of vulnerability is open to reclaiming and reframing. Under this reconstruction, what is traditionally viewed as a limiting vulnerability can be owned, openly disclosed and accommodated. Following a pandemic-inspired ‘new normal’ that supports flexible workplace practices, and in accordance with UNCRPD goals of inclusive employment and reducing disability inequity, we argue that the pathway for people with disability as career researchers needs an ethical review and overhaul. We provide readers with a practical roadmap to advance a more inclusive academy for researchers with disability.

The paper follows Jason Cope's (2011) vision of a holistic perspective on the failure-based learning process. By analyzing the research since Cope's first attempt, which is often fragmentary in nature, and providing novel empirical insights, the paper aims to draw a new comprehensive picture of all five phases of entrepreneurial learning and their interplay.

The study features an interpretative phenomenological analysis of in-depth interviews with 18 failed entrepreneurs. Findings are presented and discussed in line with experiential learning theory and Cope's conceptual framework of five interrelated learning timeframes spanning from the descent into failure until re-emergence.

The study reveals different patterns of how entrepreneurs experience failure, ranging from abrupt to gradual descent paths, different management and coping behaviors, and varying learning effects depending on the new professional setting (entrepreneurial vs non-entrepreneurial). Analyzing the entrepreneurs' experiences throughout the process shows different paths and connections between individual phases. Findings indicate that the learning timeframes may overlap, appear in different orders, loop, or (partly) stay absent, indicating that the individual learning process is even more dynamic and heterogeneous than hitherto known.

The paper contributes to the field of entrepreneurial learning from failure, advancing Cope's seminal work on the learning process and -contents by providing novel empirical insights and discussing them in the light of recent scientific findings. Since entrepreneurial learning from failure is a complex and dynamic process, using a holistic lens in the analysis contributes to a better understanding of this phenomenon as an integrated whole.

Examining dominance in influencing leadership perceptions for men and women has received significant scholarly attention. The studies typically show that dominance is beneficial for men in attaining leadership positions but not for women. However, the studies were predominantly conducted more than two decades ago. Given the developments in gender research, this study extends the dominance line of inquiry by probing the impact of dominance need on leader emergence for men versus women in self-managed work teams. Furthermore, this study aims to examine if team dominance needs dispersion posits as a boundary condition for the combined impact of dominance needs and gender on leader emergence.

The authors conducted a longitudinal study that lasted one semester and involved 44 ad hoc self-managed work teams.

This study found that dominance needs facilitated leader emergence regardless of gender, and team dominance needs dispersion. Furthermore, men with high dominance needs were likelier to emerge as leaders than women with high dominance needs in high dominance needs dispersion teams. By contrast, women low in dominance needs received a harsher penalty in their leadership emergence than men low in dominance needs in low dominance needs dispersion teams

These results depart from the usual findings regarding the backlash effects that dominant women face and paint a rosy picture regarding the use of dominance in shaping leader emergence. However, the findings support the notion in gender stereotypes research that women are judged more critically than men in ascending to leadership positions.

Evaluating project success within the construction industry presents challenges due to the unique characteristics of the sector, the complexity of projects, and the involvement of diverse stakeholders. Conducting a bibliometric analysis, this paper aims to unravel the major research themes and methodologies utilised by researchers in studying the critical success criteria for construction projects, as well as extracting these success criteria.

The researchers systematically searched and screened 95 papers from Scopus and Web of Science (WoS) databases. This study conducted research focus parallelship network (RFPN) analysis and keywords co-occurrence network (KCON) analysis using BibExcel and Gephi to cluster the papers, illuminate the relationships among keywords within each cluster, and identify the primary research directions.

Using the RFPN analysis, this study classified the papers into three distinct clusters: infrastructure and public projects success, risk and knowledge management, and contractors and procurement management. Statistical techniques such as structural equation modelling (SEM) and multi-criteria decision-making methods such as analytic hierarchy process (AHP) have been used to analyse project success in the construction industry.

Considering the intensified demand for streamlined digital interactions and the increasing emphasis on sustainability and safety performance, construction companies are recommended to allocate greater investments toward the automation and digitisation of their products and processes. Prioritising modular construction and embracing transformative technologies alongside data science is crucial for enabling well-informed decision-making, and enhancing project success.

This study contributes to the existing body of knowledge by conducting a quantitative and systematic evaluation of the literature on project success criteria in the construction industry and uncovering key research areas. It addresses the pressing need to understand the complexities of construction projects amidst evolving industry dynamics and emerging disruptions. Moreover, by highlighting the implications of digital innovations and modular construction, this study urges deeper exploration into their impact on project performance and stakeholder satisfaction. This research sets a comprehensive framework for investigating the interplay between project complexity, technological advancements, and sustainable practices in the construction sector, paving the way for strategic advancements in the field.

While current research is reporting on a crisis in school leadership aspirations and appointments, this research sheds light on the mediating factors that school middle leaders (MLs) attribute to their appointment as a leader and their aspirations to senior leadership positions.

Qualitative data from a larger, mixed-method, research project were collected using an online survey completed by 2,608 MLs in a large public school system in Australia and is analysed using an inductive thematic process.

The findings suggest that MLs experience varying and non-linear career progressions and that a range of personal and professional factors impact their career aspirations. The support of an “experienced other” such as a principal, mentor or coach and strategic career planning are all important in the identification, support, development and advancement of MLs.

This paper contributes to the scarce body of research on middle leadership identification and aspirations. The study recommends a system approach drawn from the empirical data and associated literature that may be useful to inform policymakers, school systems and school leaders in efforts towards middle leadership identification, development and advancement.

Scientific knowledge is rich with literature on the antecedent role of social capital on resilience. However, empirical evidence has overlooked the role of the individual dimensions of bonding and bridging social capital on its outcomes. This study aims to extend empirical research on the influence of social capital facets of bonding social capital and bridging social capital on financial resilience and more specifically in the aftermath of the COVID-19 pandemic where women SMEs mostly need bonding.

The study uses an explanatory research design to determine the hypothesized effect of social capital on financial resilience. The authors used regression to test the hypothesized relationship using a sample of three hundred and eight four women-owned SMEs in Kampala registered with Kampala City Traders Association.

According to the findings, the social bonding provides female entrepreneurs with emotive encouragement and inspiration through personal connections and responsibility sharing. Furthermore, women entrepreneurs bridging, which consisted of business networks, made it easier for them to identify new financial opportunities, which ultimately led to an increase in their financial resilience. The findings placed an emphasis on the significance of fellow business owners as sources of knowledge and assets that are crucial to maintaining one's financial resilience.

Data were collected from women owned SMEs, and the application of the findings may be limited to women SMEs in Kampala District. Therefore, future research should replicate the current study findings using a sample drawn from other SMEs owned by both male and female from outside Kampala because of changes in operating environment. The study was cross-sectional, and financial resilience of a firm changes was periodical. This study paves the way for future longitudinal research in the same topic area, which will allow for a more complete comprehension of the financial resiliency of SMEs throughout a range of different time periods.

Research findings shape trajectory for current practitioners of SMEs to establish relevant social bonding and bridging as social capital in preparation for financial resilience in case of any pandemic.

To the best of the authors' knowledge, this study is the first to establish the antecedent role of social capital on financial resilience during an economic crisis induced by the COVID-19 pandemic, using a sample of women-owned medium- and small-sized businesses in Kampala.

The crypto market is growing quickly, marked by a lack of fundamentals, and the risks are not yet fully comprehended by participants. Our goal is to investigate overconfidence in this market and analyze the role that risk propensity and certain demographics play.

We conducted a survey in Brazil and Portugal, leveraging an online questionnaire disseminated via social media channels to engage a diverse adult population. We collected a total of 826 responses, addressing ethical considerations throughout the process. The data analysis was conducted using SPSS statistical software and logit regression modeling.

Our study reveals that overconfidence is a notable bias that distinguishes individuals who invest in cryptocurrencies from those who do not. Although overconfidence and risk propensity are closely linked, they originate from distinct personal characteristics. Furthermore, our findings indicate that age and market experience positively correlate with overconfidence and negatively correlate with risk propensity. Financial knowledge, interestingly, did not prove to be a significant factor for cryptocurrency investment.

Our research augments the existing literature on overconfidence, delving into this phenomenon in a new subdomain, and in doing so, it enriches our comprehension of the unique and still relatively under-researched cryptomarket. Moreover, we illuminate individual factors that sway the decision to invest in cryptocurrencies and should be considered by market participants.

• (1)

  Pioneering work examining the presence of overconfidence bias among crypto-investors, using a robust data set collected from a binational survey.

• (2)

  Verifies the relations among overconfidence, risk propensity, and demographics.

• (3)

  Examines the influence of age and experience on investment decisions, revealing a positive relationship with overconfidence and a negative correlation with risk propensity.

• (4)

  Logistic regression is used to determine the combined effect of overconfidence, risk propensity, and demographics on the decision to invest in cryptocurrencies.

Pioneering work examining the presence of overconfidence bias among crypto-investors, using a robust data set collected from a binational survey.

Verifies the relations among overconfidence, risk propensity, and demographics.

Examines the influence of age and experience on investment decisions, revealing a positive relationship with overconfidence and a negative correlation with risk propensity.

Logistic regression is used to determine the combined effect of overconfidence, risk propensity, and demographics on the decision to invest in cryptocurrencies.

Peer-to-peer lending has emerged as a promising alternative investment avenue globally. This study explores the variables influencing investors' intention in peer-to-peer lending. Studying these factors is crucial for inspiring investor motivation, which leads to the growth of peer-to-peer lending platforms in India.

The research utilizes information gathered from 293 investors of the Rang de platform through a questionnaire. It employs ordinal logistic regression to assess how demographic characteristics, investor experience, social projects and investment factors influence the study’s outcomes.

The research indicates that the education qualification and income level of the investors are significant demographic variables in their investment decisions. Moreover, social projects, the experience of the investors and investment factors affect their intent to invest more in peer-to-peer lending projects.

It helps stakeholders and borrowers of crowdfunding platforms think about these aspects when creating plans to bring in and keep investors. This approach also enhances the openness and dependability of lending processes.

This research sheds light on Indian investors' behavior toward peer-to-peer lending platforms and includes new investment factors like project categories and impact partners that other researchers did not identify.