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This article aims to examine the factors that influence how managers approach data analytics.

The authors draw on content analysis of 34 in-depth interviews with managers in various sectors in France.

Using Resource Orchestration Theory as the theoretical lens, the findings show that an understanding of the importance of data analytics, having the skills to effectively use data analytics and the capability to integrate data analytics throughout organizations impact the approach adopted by managers. Based on these interrelated factors, a typology of four different approaches is identified: buyer-users, segmenters, promoters and implementers.

The authors' study reflects results from multiple industries instead of one particular sector. Delving deeper into the practices of distinct sectors with respect to the authors' typology would be of interest.

The study points to the role of managers and more specifically managers' perception of the opportunities and challenges related to data analytics. These perceptions emerge in managers' skills and capacity to understand and integrate dimensions of data analytics that go beyond one's areas of expertise in order to create capabilities towards an organization's advantage.

The authors contribute by revealing three interrelated factors influencing how managers approach data analytics in managers' organizations. The authors address the need expressed by practitioners to better identify factors responsible for adoption and effective use of data analytics.

A main cause of defects within material extrusion (MatEx) additive manufacturing is the nonisothermal condition in the hot end, which causes inconsistent extrusion and polymer welding. This paper aims to validate a custom hot end design intended to heat the thermoplastic to form a melt prior to the nozzle and to reduce variability in melt temperature. A full 3D temperature verification methodology for hot ends is also presented.

Infrared (IR) thermography of steady-state extrusion for varying volumetric flow rates, hot end temperature setpoints and nozzle orifice diameters provides data for model validation. A finite-element model is used to predict the temperature of the extrudate. Model tuning demonstrates the effects of different model assumptions on the simulated melt temperature.

The experimental results show that the measured temperature and variance are functions of volumetric flow rate, temperature setpoint and the nozzle orifice diameter. Convection to the surrounding air is a primary heat transfer mechanism. The custom hot end brings the melt to its setpoint temperature prior to entering the nozzle.

This work provides a full set of steady-state IR thermography data for various parameter settings. It also provides insight into the performance of a custom hot end designed to improve the robustness of melting in MatEx. Finally, it proposes a strategy for modeling such systems that incorporates the metal components and the air around the system.

This study aimed to evaluate the potential of artificial intelligence (AI) as a tool for knowledge synthesis, the production of written content and the delivery of coaching conversations.

The research employed the use of experts to evaluate the outputs from ChatGPT's AI tool in blind tests to review the accuracy and value of outcomes for written content and for coaching conversations.

The results from these tasks indicate that there is a significant gap between comparative search tools such as Google Scholar, specialist online discovery tools (EBSCO and PsycNet) and GPT-4's performance. GPT-4 lacks the accuracy and detail which can be found through other tools, although the material produced has strong face validity. It argues organisations, academic institutions and training providers should put in place policies regarding the use of such tools, and professional bodies should amend ethical codes of practice to reduce the risks of false claims being used in published work.

This is the first research paper to evaluate the current potential of generative AI tools for research, knowledge curation and coaching conversations.

Professional boundary violations – intentional blurring, minimising or exploiting of institutions’ ethical and legal frameworks – have the potential to cause significant harm to prisoners, staff, prison systems and the public. There has been little empirical research on the nature, extent and impact of boundary violations in UK prisons. The purpose of this paper is to synthesise and critically review studies which have sought to explore, measure and predict boundary violative behaviour, with a view to direct future research and inform prison policies and practices.

Four internet-based bibliographic databases were used for this review. Inclusion and exclusion criteria were applied. Twenty studies published between 2001 and 2022 were included in this review.

There is a lack of comprehensive self-report measures around prison boundary violations. Staff and prisoner characteristics, as well as prison-specific conditions, are linked with boundary violations. Staff training, improved working conditions and amnesty programmes as well as bolstered surveillance and restricted cross-sex staff deployment were among recommendations to reduce boundary violations. “Insider” researchers offer insight and access opportunities, but they also pose ethical implications. Current studies have research design, participant sampling and measurement scale limitations which compromises the applicability of findings. Prisons need robust policies on defining, reporting, punishing and recovering from boundary violations. Collaboration between prison institutions and academics, using individuals with experience of both professions, is essential to understand, predict and reduce boundary violations.

To the best of the authors’ knowledge, this is the first review of empirical studies on professional boundary violations in prison.

The corporate atmosphere in recent times speaks volumes about the crises of confidence and credibility brewing among professionals due to the rising incidences of unethical pro-organizational behavior (UPB). The study developed a model to demonstrate the underlying mechanisms through which unethical organizational culture (UOC) influences UPB through the mediating roles of idealism and relativism.

Using a cross-sectional approach, data were collected through questionnaires that were distributed to small and medium-sized enterprises (SMEs) operating in the Plateau state in Nigeria. A total of 269 responses were obtained and analyzed using the partial least squares structural equation modeling (PLS-SEM) technique via Smart-PLS software.

The results revealed that the relationship between UOC and UPB was significant. The indirect predictive role of UOC on UPB was established via relativism but not through idealism. The results indicate that the preponderance of UPB among SMEs is a product of UOC which breeds a relativist ideology that ultimately promotes UPB. Finally, implications and suggestions for further research are discussed.

This study contributes to UPB in two unique ways. First, the authors bring to the fore the critical role of UOC in the debate on UPB which has been under-explored. Second, the study also established the mediating role of relativism in the relationship between UOC and UPB.

This culminating chapter reviews the impacts of the pandemic on global systems of education. Drawing on the insights of the preceding chapters, this chapter offers three ideas for the future. First, schools of education should engage in innovative learning experiences including in person, online and hybrid learning opportunities. Second, staff support and development are key areas for future growth. Similarly, the third area for future growth is deeper consideration of student well-being and development. The pandemic placed these ideas at the forefront of conversation, and schools of education are positioned to continue that conversation, taking action to create transformative educational experiences.

Entrepreneurial intention is one of the main predictors of venture creation. However, the approaches used to analyze the entrepreneurial intention and venture creation are mostly linear approaches, leaving aside the fact that new ventures arise in a context characterized by fluctuations and instability, especially in emerging economies where economic and social factors are highly variables. Nevertheless, a dynamic approach could best represent its behavior. This study aims to propose an alternative approach and a starting point for more complex dynamic models in the entrepreneurship process that surpass the limitation of the current linear methodologies and allow gathering isolated studies' contributions.

This study proposes a method to shed light on the processes related to the venture creation process and entrepreneurial intention by designing a system dynamics simulation model.

The results reveal that the delayed effect of expectations produces a growing tendency in project creation, venture establishment and venture creation. Likewise, the entrepreneurial intention is not a static variable; it changes by the system’s dynamics and disturbs the venture creation process, which produces an increase in oscillations in the model and, therefore, reduces the project’s growth and venture creation.

This model is a generic approach for the study of venture creation and entrepreneurial intention. The model can analyze entrepreneurial intention and venture creation in different contexts, adjusting the different model parameters. The authors run a sensitivity analysis to encompass deviation from the parameter established and the uncertainty about them. However, the empirical data used for the model’s testing, in this case, correspond to an approximation to the behavior of venture creation in Colombia, which is considered an emerging economy. The model proposed does not pretend to incorporate all the variables and phenomena about entrepreneurship.

The approach suggested in this work aims to conceptualize venture creation as a complex process that emerges from the occurrence and combination of simpler states, instead of activities that represent building blocks. In addition, the term “entrepreneurial process” is defined as a composite of different perspectives that use a series of multidisciplinary theories to address the topic.