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Fifteenth anniversary of the 5M framework: an integrative literature review and future research directions for women’s entrepreneurship
Purpose – To advance women’s entrepreneurship research,scholarsrequire a clearer understanding of how, and where, researchers have applied the field’s critical theoretical frameworks, as well as how extant studies have shaped the development ofthe frameworks and field of women’s entrepreneurship. This paper addresses this gap by conducting an integrative literature review (ILR) of Brush et al.’s (2009) 5 M framework article and proposes a conceptualization of 5 M framework research alongside future research directions for the field of women’s entrepreneurship.
Design/methodology/approach – Our study utilizes an ILR to analyze how researchers have leveraged the 5 M framework and what this reveals about its development and role in women’s entrepreneurship research. We draw on Scopus and Google Scholar databases to present a comprehensive review of all publications (n 5 944) that cite Brush et al.’s (2009) article (from 2009 to 2023), focusing on those works (n 5 87) which base their methodological or theoretical approach on the 5 M framework.
Findings – Our ILR reveals that research using the 5 M framework can be conceptualized as consisting of four different layers: the specific contributions made by such research to the development of the 5 M framework itself; the key themes and mechanisms within women’s entrepreneurship addressed by this research; the methodological approaches applied; and the empirical contexts in which the framework dimensions have been employed.
Research limitations/implications – Our study identifies pertinent literature gapsin women’s entrepreneurship and provides pathways for diversifying theory-building in the field.
Originality/value – We analyze a prominent theoretical framework in the field of women’s entrepreneurship. Our analysis shows not only pathways for future women’s entrepreneurship research but also the status of the field and how researchers deal with existing frameworks, thus highlighting opportunities to go beyond the status quo
Quantum 1/f^η noise induced relaxation in the spin-boson model
We extend the spin-boson model of open quantum systems to the regime of quantum 1/^ noise characterized by negative exponents of its spectral distribution. Using the numerically exact time-evolving matrix product operator, we find the dynamic regime diagram, including pseudocoherent dynamics controlled by quantum 1/^ noise. We determine the dephasing rate and find for it an empirical formula valid at zero temperature. The bath reorganization energy depends on the infrared bath cutoff frequency, revealing an increased sensitivity of the dephasing on the measurement time of an experiment. Our results apply to a qubit as an elementary building block of a quantum computer and pave the way toward a quantum treatment of low-frequency noise in more complex architectures
Investigating the Influence of Mindfulness Intervention on Knowledge Sharing in High‑Responsibility Teams
Abstract
In this experimental study, we investigated the impact of a mindfulness intervention on knowledge sharing and knowledge collecting (de Vries et al. 2016) during a 2-day command post exercise of German senior police officers. The setting of the experiment took place under the terms of a command post exercise (Stabs-Rahmenübung), held once a year at the Federal Academy for Civil Defense and Civil Protection (Bundesakademie für Bevölkerungs- und Zivilschutz—BABZ). The BABZ provides premises and technical facilities for advanced training, and the police officers spend a week focusing exclusively on learning and training for police staff work (polizeiliche Stabsarbeit). Mayring (2010) identified three aspects (cognition, emotion, action) influencing communication’s semiotic aspect. These three aspects were addressed during the mindfulness intervention used in the field study, with participants being asked to provide a short statement about their current state of cognition, emotion, and physical experience. The intervention was conducted before and after each of the two daily command post exercises for the experimental group (N = 46), while no intervention occurred for the control group (N = 58). Knowledge sharing and knowledge collecting were assessed with the Knowledge Donating and Knowledge Collecting Items (de Vries et al. 2016). While planned contrast analyses revealed no effect on knowledge donating, our data suggest a tendency for a
positive influence of the mindfulness intervention on knowledge collecting. These differences between knowledge sharing and collecting might occur because knowledge collecting is more implicit and part of the process of building a shared mental model (Cannon-Bowers et al. 1993). The impact of knowledge collecting will be discussed in light of the self-determination theory (Ryan and Deci 2000) and the impact of individual and collective mindfulness in high-reliability organizations (Weick and Sutcliffe 2001), respectively high-responsibility teams (Hagemann et al. 2012)
Digitalisierung für eine besucherorientierte Innenstadt?
Thoughts about urban development via digital information channels and activators to increase visitor loyalty Online retailers and platforms use digital technologies of all kinds to offer customer-specific 24/7 services and have established new customer-centric, digitalized standards in retail and services. Cities can focus more strongly on the customer-oriented view. In addition to focusing on visitor types and journeys, digitalization can also help to make cities more vibrant
Comparative Corrosion and Wear Behaviors of Cermet Coatings Obtained from Conventional and Recycled Powders
Many components in industry are subjected to high loads during operation and therefore often do not reach their intended service life. Conventional steels frequently do not provide sufficient protection against wear and corrosion. One solution is to coat these components using methods like thermal spraying to apply cermet coatings such as Cr3C2-NiCr or WC-Co-Cr. In light of increasingly strict environmental regulations, more eco-friendly alternatives are needed, especially ones that use little or no Cr, Ni, Co, or W. Another alternative is the recycling of powder materials, which is the focus of this research project. This study investigated whether filter dust from an HVOF system could be used to develop a new coating suitable for use in applications requiring resistance to wear and corrosion. This is challenging as the filter dusts have heterogeneous compositions and irregular particle sizes. Nevertheless, this recycled material, referred to as “Green Cermets” (GCs), offers previously untapped potential that may also be of ecological interest. An established WC-Co-Cr coating served as a reference. In addition to friction wear and corrosion resistance, the study also examined particle size distribution, hardness, microstructure, and susceptibility to crack formation at the interface and inside the coating. Even though the results revealed a diminished performance of the GC coatings relative to the conventional WC-CoCr, they may still be applicable in various industrial applications
Integrative Analysis of Nontargeted LC-HRMS and High-Throughput Metabarcoding Data for Aquatic Environmental Studies Using Combined Multivariate Statistical Approaches
Significant progress in high-throughput analytical techniques has paved the way for novel approaches to integrating data sets from different compartments. This study leverages nontarget screening (NTS) via liquid chromatography-high-resolution mass spectrometry (LC-HRMS), a crucial technique for analyzing organic micropollutants and their transformation products, in combination with biological indicators. We propose a combined multivariate data processing framework that integrates LC-HRMS-based NTS data with other high-throughput data sets, exemplified here by 18S V9 rRNA and full-length 16S rRNA gene metabarcoding data sets. The power of data fusion is demonstrated by systematically evaluating the impact of treated wastewater (TWW) over time on an aquatic ecosystem through a controlled mesocosm experiment. Highly compressed NTS data were compiled through the implementation of the region of interest-multivariate curve resolution-alternating least-squares (MCR-ALS) method, known as ROIMCR. By integrating ANOVA-simultaneous component analysis with structural learning and integrative decomposition (SLIDE), the innovative SLIDE-ASCA approach enables the decomposition of global and partial common, as well as distinct variation sources arising from experimental factors and their possible interactions. SLIDE-ASCA results indicate that temporal variability explains a much larger portion of the variance (74.6%) than the treatment effect, with both contributing to global shared space variation (41%). Design structure benefits include enhanced interpretability, improved detection of key features, and a more accurate representation of complex interactions between chemical and biological data. This approach offers a greater understanding of the natural and wastewater-influenced temporal patterns for each data source, as well as reveals associations between chemical and biological markers in an exemplified perturbed aquatic ecosystem
The Impact of Elevated Printing Speeds and Filament Color on the Dimensional Precision and Tensile Properties of FDM-Printed PLA Specimens
This study examines the effect of elevated printing speeds (100–600 mm/s) on the dimensional accuracy and tensile strength of PLA components fabricated via fused deposition modeling (FDM). To isolate the influence of printing speed, all other parameters were kept constant, and two filament variants—natural (unpigmented) and black PLA—were analyzed. ISO 527-2 type 1A specimens were produced and tested for dimensional deviations and ultimate tensile strength (UTS). The results indicate that printing speed has a marked impact on both geometric precision and mechanical performance. The optimal speed of 300 mm/s provided the best compromise between dimensional accuracy and tensile strength for both filaments. At speeds below 300 mm/s, under-extrusion caused weak layer bonding and air gaps, while speeds above 300 mm/s led to over-extrusion and structural defects due to thermal stress and rapid cooling. Black PLA yielded better dimensional accuracy at higher speeds, with cross-sectional deviations between 2.76% and 5.33%, while natural PLA showed larger deviations of up to 8.63%. However, natural PLA exhibited superior tensile strength, reaching up to 46.59 MPa, with black PLA showing up to 13.16% lower UTS values. The findings emphasize the importance of speed tuning and material selection for achieving high-quality, reliable, and efficient FDM prints
Inspection of underground sewerage channel infrastructure by deploying a wireless sensor network
Meteorological disasters are soon to be more likely due to climate change. To oppose this expected development regular inspection and maintenance of sewage networks becomes increasingly mandatory. Applying customized swimming sensor nodes also called wireless sensor system could be a possibility to ensure real time information on this matter. Interconnecting sensor nodes resemble a wireless sensor network with mesh topology. Gateways installed in inspection hambers hand data over to a back-end