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The purpose of this paper is to examine the role of entrepreneurial passion, specifically venture obsession, in agentic relationships within entrepreneurial contexts. It aims to develop a new conceptualization of the role of the venture in these relationships and explore the negative impacts that can arise from the obsessive passion for the venture. The paper contributes to the literature by shedding light on the complexities of agency outside of large for-profit firms, unpacking components of self-interest in the agentic relationship and challenging the assumption that entrepreneurial passion is always beneficial for both the entrepreneur and the venture.

This paper employs theoretical framework development and conceptual mapping to explore the role of entrepreneurial passion, specifically venture obsession, in agentic relationships within entrepreneurial contexts. We conducted a comprehensive literature review and synthesis of existing research on agency theory, entrepreneurial passion and venture obsession. By integrating these insights, we developed a new conceptual framework that theorizes the negative impacts of venture obsession on agentic relationships and venture performance. This approach allows us to propose a nuanced model that highlights the complexities and potential maladaptive behaviors associated with obsessive passion in entrepreneurship.

Venture obsession can have detrimental outcomes, such as escalation of commitment and ignoring external feedback, due to the intense focus on protecting the venture at all costs.

The study highlights the impact of venture obsession on agentic relationships, emphasizing the balance between autonomy, competence and relatedness that entrepreneurs strive to maintain for their well-being. While previous research has explored the role of entrepreneurial passion and its effects on venture performance, this study extends the understanding by delving into the darker side of passion when it transforms into obsessive agency. By emphasizing the importance of maintaining a healthy balance in agentic relationships and considering the psychological well-being of entrepreneurs, this study adds nuance and depth to the existing knowledge on the subject.

In this article, we examine the historical and cultural foundations of Nordic states’ strong contemporary social indicators to understand whether their successes can be replicated in other contexts.

We draw on a range of academic literature to frame a comparison of two regions’ cultural and theological roots, identifying contrasts to make arguments about prescriptions for contemporary welfare policy.

We find Nordic history contributes to a duty-based culture with strong cohesion and social trust. These cultural norms make palatable welfare policies with strong activation measures, while the US model prefers to avoid the latter because of its strong cultural orientation to rights and autonomy.

To mitigate differences between the Nordic states and other cultural contexts, policymakers seeking to replicate Nordic welfare successes should consider welfare programming that combines stronger activation policies with oversight and relational components that mitigate gaps in social cohesion.

We uniquely bring together the literature on comparative welfare policy and on religion and culture to understand the precursors of contemporary attitudes and their implications for welfare policy prescriptions.

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.

In recent years, in research and policy circles, there is growing interest in the subject of speaking up (and silence) within the health sector, and there is a consensus that it is a major issue that needs to be addressed. However, there remain gaps in our knowledge and while scholars talk of a voice system – that is the existence of complementary voice channels designed to allow employees to speak up – empirical evidence is limited. We seek to explore the notion of a voice system in a healthcare organisation as comprising structures and cultures as seen from different stakeholder perspectives. What do they see and how do they behave and why? To what extent do the users see a voice system they can access and easily navigate?

Interviews and focus groups were conducted with a voice stakeholder group (e.g. designers of the system from senior management and HR, which comprised 23 staff members) as well as those who have to use the system, with 13 managers and 26 employees from three units within a metropolitan hospital: an oncology department, an intensive care unit and a community health service. Overall, a total of 62 staff members participated and the data were analysed using grounded theory to identify key themes.

This study revealed that although a plethora of formal voice structures existed, these were not always visible or accessible to staff, leading to confusion as to who to speak up to about which issues. Equally other avenues which were not designated voice platforms were used by employees to get their voices heard.

This papers looks at the voice system across the organisation rather than examining a specific scheme. In doing so it enables us to see the lived perceptions and experiences of potential users of these schemes and their awareness of the system as a whole.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.

This research investigates the impact of Industry 4.0 technologies (I4.0) on the resilience of manufacturing firms against the COVID-19 pandemic. The study explores the mediating effects linked to the firm’s supply chain resilience and absorptive capacity in this relationship.

The empirical analysis involves 304 manufacturing firms and uses Partial Least Squares Structural Equation Modeling (PLS-SEM). A two-step hierarchical component model has been employed, considering the statistical analysis validation (reliability and validity) of the LOC and HOC models. The choice of the manufacturing industry is justified due to its degree of automation in emerging economies, such as Mexico, and its significant impact on job creation and the national gross domestic product.

The results confirm the positive impact of I4.0 technologies on companies’ resilience to COVID-19. They also support the indirect effects of the firm’s supply chain resilience and absorptive capacity. Absorptive capacity was found to have a higher significant indirect effect than supply chain resilience. Consequently, the study accentuates the significance of leveraging external knowledge and highlights the role of acquisition, assimilation, transformation, and exploitation capabilities in enhancing absorptive capacity.

The implications of this research extend to both manufacturing companies and public administrations, suggesting the need for I4.0 technologies implementation and supportive policies aimed at fostering absorptive capacity.

This research contributes to the literature by filling gaps in empirical studies in the context of developing economies. It provides valuable insights into the effects of I4.0 on absorptive capacity, supply chain resilience, and COVID-19 resilience, particularly in non-essential supply chains. It enriches the understanding of how I4.0 impacts the absorptive capacity and resilience of the supply chain during the COVID-19 crisis.

This study aims to investigate how small talk interaction affects knowledge sharing, examining the mediating role of interpersonal trust (affect- and cognition-based trust) and the moderating role of perceived similarity among the mechanisms of small talk and knowledge sharing.

This research conducts complementary studies and collects multi-culture and multi-wave data to test research hypotheses and adopts structural equation modeling to validate the whole conceptual model.

The research findings first reveal two trust mechanisms linking small talk and knowledge sharing. Meanwhile, the perceived similarity between employees, specifically, strengthens the affective pathway of trust rather than the cognitive pathway of trust.

This study combines Interaction Ritual Theory and constructs a dual-facilitating pathway approach that aims to reveal the impact of small talk on knowledge sharing, describing how and when small talk could generate a positive effect on knowledge sharing. This research provides intriguing and dynamic insights into understanding knowledge sharing processes.

This paper aims to analyze the factors that affect the attitudes of Armenian small and medium enterprises (SMEs) regarding digitalization, examining whether they view it as a tool to foster innovation and business growth, while also assessing the extent to which digitalization mitigated the negative impacts of the COVID-19 crisis.

The empirical approach is based on data collected from 452 Armenian SMEs, which were further analyzed using SPSS Statistics 23.0 software. Scales for assessing the COVID-19 impact, innovation and digitalization were constructed and validated. To test five hypotheses, binomial logistic regression was conducted to appraise the importance of digitalization for Armenian SMEs, including the ability to mitigate the consequences of the recent COVID-19 pandemic.

The results of the analysis showed that the economic sector plays a significant role in forming the expectations of firms on the positive impact of digitalization, while the company size does not affect them. This paper found that the provision of online services before the pandemic did not help Armenian SMEs to be less affected by the crisis. Furthermore, the perception of whether digitalization facilitated innovative processes, products and services did not depend on the degree of being affected by COVID-19. Finally, the findings indicate that the more agile companies which had the ability to convert their business model into an e-business model were less affected by the crisis.

This paper contributes to the literature by studying the effect of digitalization on SMEs, as well as how SMEs in small developing countries like Armenia mitigated the negative effects of the COVID-19 pandemic. The current work is unique as, to the best of the authors’ knowledge, there are no prior empirical studies focusing on impact of digitalization and innovation induced by exogenous shocks in an under-researched country like Armenia.

British Prime Minister, Rishi Sunak, recently introduced a “whole life order” sentence in response to sexually motivated or sadistic homicide offences (Gov.uk, 2023). Effectively, this condemns the recipient to the remainder of their life in incarceration and renders rehabilitative interventions redundant. The purpose of this paper is to explore the literature pertaining to public pedagogy, definitions and convictions, and rehabilitative interventions – all in relation to those considered to have committed sexuallymotivated or sadistic murders, with emphasis on the implications of such.

Through this commentary, this paper explores the following points in line with existing literature: (a) public knowledge of the criminal justice system and those who have committed homicide offences, (b) the manner of defining and convicting sexually motivated and sadistic murders and (c) current access to rehabilitation intervention programmes.

This paper closes by recommending future research initiatives to deliver forensic-specific education for the general public as well as qualitative studies into the discourse around retribution to enable a conjunction between public concern and academic underpinning. Wider implications concerning public understandings, convictions, rehabilitations and politics are discussed.

To the best of the authors’ knowledge, this is the first paper that explores the practical and theoretical implications of imposing a whole life order on those charged with sadistic or sexual-motivated murders.