bluuebunny/crossref_metadata_2025_split huggingface dataset:
Closed-form eigensolutions and exact complex mode superposition method for non-proportionally rate-independent damped systems
Authors: Li Xueju , Pan Danguang , Huang Ying 
Published: November 2024

PurposeThe main objectives of this paper are to develop a novel perturbation method (PM) to solve the complex-orthogonal eigenvalue problem and further propose an exact complex mode superposition method (CMSM) for the non-proportionally rate-independent damped systems.Design/methodology/approachA novel PM is developed to solve the eigenvalue problem. The PM reduced the N-order generalized complex eigenvalue problem into a set of n algebraic equations by the perturbation theory. The convergence and accuracy of the PM are demonstrated by several numerical examples. Further, an exact CMSM is presented. The influences of the imaginary part response of the modal coordinate and the off-diagonal elements of the damping matrix as well as the modal truncation on the solution by CMSM are discussed to illustrate the effectiveness of the developed CMSM.FindingsThe eigenvalues obtained by PM would converge to the exact ones with the increase of the modal numbers. For seismic response, the influence of the imaginary part solutions of the modal coordinate would increase with the increase of the coupling factor. The contribution of higher modes to acceleration response is greater than that to the displacement. The cumulative mode contribution coefficient of acceleration is developed to estimate the numbers of the complex modes for the acceleration seismic response by the CMSM.Originality/value1. An eigenvalue perturbation method for a rate-independent damped system is proposed. 2. PM is carried out by the real mode and accomplishes the reduction of the matrix. 3. CMSM is established for rate-independent damped systems. 4. CMSM considers the effect of imaginary part solutions of the modal coordinate. 5. Modal truncation index is developed to estimate the complex mode number for CMSM.
Safety attitudes and safety management: perspectives of managerial personnel and frontline workers in construction sites in China
Authors: Wang Yan , Liu Chunpeng , Zhao Wenchao 
Published: November 2024

PurposeThis study employed a questionnaire survey to understand the safety attitudes, focusing on safety motivation and risk tolerance as well as safety management practices, including safety training and safety incentives, among construction site employees, including both managerial personnel and frontline workers. The objective was to explore the relationship between safety management practices and safety attitudes within both the managerial and frontline worker groups.Design/methodology/approachThis study was conducted among 1,026 construction workers and 256 managerial personnel at 53 construction sites across 12 provinces in China. A t-test was used to compare the differences in safety-related scores between managerial personnel and frontline workers, and a structural equation model was used to explore the relationship between safety attitudes and safety management.FindingsThis study found that the scores of managerial personnel for safety motivation, safety training and safety incentives were significantly higher than construction workers, while their scores for risk tolerance were significantly lower than construction workers. Managerial personnel’s safety motivation has a significant positive impact on both safety training and safety incentives, while their risk tolerance has a significant negative impact on safety incentives. Safety training has a significant positive effect on construction workers’ safety motivation, whereas safety incentives have a significant negative impact on construction workers’ risk tolerance.Originality/valueThis study is one of the few that have investigated construction safety by conducting surveys targeting both site managerial personnel and frontline workers, employing an empirical approach to validate the role of safety management in transmitting safety attitudes from site managerial personnel to frontline workers.
Government environmental attention and enterprise greenwashing behavior: evidence from China
Authors: Zheng Xiaoyu , Li Wenzhen 
Published: November 2024

PurposeThis study investigates whether Chinese local governments’ environmental attention can mitigate corporate “greenwashing”, focusing on the extent of environmental content in annual government work reports as indicative of government environmental attention. This study aims to determine whether enterprises respond to changes in local governmental attention by improving the quality of their environmental information disclosures.Design/methodology/approachData from China’s A-share listed companies spanning 2013–2021 were sourced from the CSMAR database and company annual reports. Environmental attention data were manually gathered from local government work reports published on official local government websites by using text analysis methods. These datasets were analyzed empirically to assess the impact of local governments’ environmental attention on corporate greenwashing behavior.FindingsResults show that increased governmental environmental attention significantly reduces corporate greenwashing behavior by alleviating corporate financing constraints, enhancing independent engagement in environmental initiatives and bolstering stakeholder oversight. Moreover, heterogeneity analysis indicates that the influence of government environmental concerns is pronounced in non-state-owned enterprises, firms with subpar audit quality and those exhibiting myopic management tendencies.Originality/valueThis study enriches the existing literature on the government–business nexus. It also introduces methodological innovations by employing a lexical analysis of environmental themes in local government work reports instead of using typical event study approaches. Furthermore, it uses a mediating effect model to identify the mechanisms through which government environmental attention influences corporate greenwashing, namely, government subsidies, corporate environmental initiatives and external stakeholder oversight.
Substitution and complementarity between human and artificial intelligence: a dynamic capabilities view
Authors: Siaw Christopher Agyapong , Ali Waqas 
Published: November 2024

PurposeThis paper draws on the dynamic capabilities (DC) view to develop a conceptual framework that explicates the mechanisms through which human intelligence (HI) and artificial intelligence (AI) substitute and complement each other for organizational knowledge management (KM) while considering the role of ethics.Design/methodology/approachThis is a conceptual paper that draws on DC theory and integrates insights from the burgeoning literature on organizational AI adoption and application to develop a conceptual framework that explains the mechanisms through which HI and AI may substitute and complement each other for organizational KM to develop DC.FindingsThe conceptual framework demonstrates that substituting HI with AI is suitable for external environmental scanning to identify opportunities, while AI substitution for HI is ideal for internal scanning through data analytics. Additionally, HI complementing AI is effective for seizing opportunities by aligning internal competencies with external opportunities, whereas AI complementing HI is beneficial for reconfiguring assets by transforming tacit knowledge into explicit knowledge. This substitution and complementarity between HI and AI shape KM processes—acquisition, conversion, application, and retention—that influence organizational performance, depending on how internal and external ethical standards govern organizational AI use.Research limitations/implicationsThe paper presents key insights into how AI may substitute for HI for internal data analytics in KM but may be ineffective for external environmental scanning to sense opportunities. It further reveals that using AI to capture and convert tacit knowledge (HI) to explicit knowledge requires ethical considerations at the organizational level, but ethical considerations are necessary at the employee/manager level when HI relies on AI-generated insights for strategic decisions.Practical implicationsThe study implies that in environments with defined regulations for AI and KM (e.g. privacy protection), responsibility for the consequences of AI-HI substitution and complementarity in developing DC can be assigned to specific steps in the KM process. However, in environments with undefined regulations, responsibility must be assigned to people, units or departments who manage the entire KM process to ensure accountability for ethical breaches.Originality/valueThis study proposes AI-HI substitution and complementarity in organizations to extend the understanding of the relationship between AI and HI to DC development.
Digital technology application, network strategy and opportunity recognition in Chinese entrepreneurial firms
Authors: Pang Changwei , Wang Qiong , Liu Chao 
Published: November 2024

PurposeEntrepreneurial boundaries and activities have changed with the widespread use of digital technologies. However, few studies have examined DTA’s effect on opportunity recognition, leading to a vague understanding of this relationship.Design/methodology/approachBuilding on the digital entrepreneurship perspective, we explore the underlying mediating mechanism and contextual conditions in the relationship between digital technology application (DTA) and opportunity recognition using data from Chinese entrepreneurial firms.FindingsDTA positively affects opportunity recognition and network strategy mediates the relationship between DTA and opportunity recognition. Environmental uncertainty positively moderates DTA’s indirect effect on opportunity recognition through network strategies.Originality/valueOur findings contribute to digital entrepreneurship literature by explaining how DTA promotes entrepreneurial firms’ opportunity recognition through network strategies.
Circular product development strategies for sustainable production and consumption based on waste valorization
Authors: Rossi Daiane , Lermen Fernando Henrique , Echeveste Márcia Elisa 
Published: November 2024

PurposeThis study aims to propose guidelines for developing circular products based on waste recovery that are aligned with sustainable production and consumption.Design/methodology/approachA systematic literature review and case studies on circular product development were conducted. In total, 15 companies with products based on waste recovery and aligned with sustainable production and consumption goal were studied.FindingsThe results show the decisions and strategies applied at each stage of the new product development process, including the design for recycling, the use of waste as a raw material for products and the concern for reducing pollution and recovering end-of-life products.Practical implicationsThe cases studied meet the goals of efficient use of natural resources and waste reduction by preventing, reducing, recycling and reusing waste. For practitioners, a set of guidelines is proposed to help companies develop circular products based on waste recovery.Originality/valuePrevious studies have not evaluated the new product development process and circularity from the institutional theory and waste valorization perspectives.
Sensitivity analysis of radiative hybrid nanofluid flow across a moving permeable wedge with variable surface temperature and magnetic field effects
Authors: Chakraborty Anomitra , Janapatla Pranitha 
Published: November 2024

PurposeIn the present article, sensitivity analysis was studied in the presence of the combined effects of thermal radiation, suction and magnetohydrodynamics (MHD) effects on a Nimonic 80A-Fe3O4/water hybrid nanofluid across moving a wedge with variable surface temperature and buoyancy effects.Design/methodology/approachThe governing equations were transformed using similarity transformations and solved using MATLAB bvp4c code and response surface methodology (RSM), with quadratic face-centred central composite design being implemented. All results and graphs were formulated after positive outcomes of our results with existing literature.FindingsAn increase in magnetic parameter (M) and velocity ratio parameter (R) resulted in an increase in velocity profiles and local Nusselt number, while a reverse trend was observed for temperature profiles. With radiation parameter Rd = 0.8, the local Nusselt number increased by 4.08% as the velocity ratio parameter increased from R = 0.0 to R = 0.5. The Nusselt number was found to be most sensitive to R, while the latter produced negative sensitivity on skin friction coefficient. The skin friction coefficient for the hybrid nanofluid model increased by 35.39% compared to the regular fluid model, with a very low standard deviation value of 10−4. The Model F-value for Nusselt number model was found to be 939278.49 with a noise ratio of 3618.711. Skin friction coefficient was found to be most sensitive with respect to changes in the parametric values of M.Research limitations/implicationsNimonic 80A being a super-alloy of nickel-iron-chromium and built in high frequency melting, it can work up to 1500°F and is extensively used in automobile exhaust valves.Practical implicationsThe present study finds numerous applications in biotoxicity studies, medical industries, water heaters and the forging of hot exhaust valve heads.Originality/valueIn view of various applications of our present study, there remains a gap in examining the sensitivity analysis of a hybrid nanofluid flow model across a moving permeable wedge using the Tiwari–Das model, which required clinical investigations numerically and statistically.
Supporting teachers to lead invention education with high school students
Authors: Skukauskaite Audra , Couch Stephanie Renee 
Published: November 2024

Purpose
The purpose of this study was to examine ways high school educators new to invention education (IvE) pedagogy can develop confidence in their ability to facilitate high school students’ work as part of this transdisciplinary (STEM+) problem-based approach to teaching.

Design/methodology/approach
This focused ethnographic study traced participants’ interactions across a three-day event that included professional development for 36 educators. The authors documented the discourse, actions and broader social context in which the interactions took place between the educators and others. Ethnographic fieldnotes, interview transcripts and pre- post-experience surveys were analyzed to determine ways the professional development opportunities shaped the educators’ perspectives on their confidence to facilitate IvE with their students.

Findings
Many different types of learning opportunities were afforded across the three days, including lectures by professor-inventors, seminars, talks with experienced educators, hands-on activities and engagement with high school students. The 36 educators indicated they were more confident in their ability to lead invention projects (55% more confident, 41% much more confident) due to participation.

Originality/value
IvE is an emerging form of problem-based learning in which educators engage learners in the identification of problems and the design and development of new, novel, useful and unique technological solutions (i.e. inventions) that help people. The study responds to the need for research on ways educators learn how to take-up IvE pedagogy.
Unlocking IPO success in Pakistan: the power of institutional quality, sponsor ownership and smart pricing
Authors: Mehmood Waqas , Mohd-Rashid Rasidah , Ahmad Abd Halim , Hussain Atia 
Published: November 2024

PurposeThis study investigates the variables that impact initial public offerings (IPO) initial returns witnessed in Pakistan from 1996 to 2019 using pre-listing information variables, namely country-level institutional quality, sponsor ownership and pricing mechanism. IPO oversubscription is included as a moderating variable.Design/methodology/approachThis research is motivated by the premise that the Pakistani IPO market is characterised by a broad range of institutional and regulatory frameworks. Multiple regression studies, i.e. ordinary least square (OLS) and quantile least square (QLS), were performed on 102 IPOs issued on the Pakistan stock market.FindingsThe present study findings suggest that the quality of public service, the independence of civil service from political influences and the legitimacy of government increase investors’ confidence in the prospects of companies, hence increasing the demand for IPO and initial returns. In addition, good regulatory quality enhances market transparency and lowers uncertainty, hence signalling high-quality IPOs and leading in substantial initial returns. The negative effect of the lock-up ratio on the initial return of an IPO is consistent with the risk-return trade-off theory, which asserts that the lock-up ratio indicates the quality of the IPO.Practical implicationsThe results provide market regulators, policymakers, investors and underwriters with useful data for assuring proper subscriptions of issued shares, as these variables are crucial for company transparency and market efficiency. The findings will also help investors make better IPO subscription decisions.Originality/valueThe present study explains the important influencing factors of IPO initial return in the Pakistani market.
Why there are more species in several small patches versus few large patches: A multispecies modelling approach
Authors: Saravia Leonardo A. , Balza Ulises , Momo Fernando 
Published: November 2024

Abstract

As global biodiversity is rapidly declining due to habitat loss, it is important to determine how to protect it. The policies of many conservation agencies are still prioritizing the preservation of a single large habitat area (SL) versus several small areas of the same size (SS), despite empirical support favouring SS. However, to date, while many studies have explored this issue using model communities, the results are mixed. In competitive community models, fragmentation has a negative effect at low habitat amounts, whereas neutral community models suggest positive effects.

This work aims to explore spatial multispecies models to verify the SS > SL pattern and determine its causes. We used three types of models: a classical neutral, neutral with habitat selection and a competitive hierarchical model. All models have three parameters, namely extinction, reproduction and dispersal distance. In the classical neutral model, species are equivalent and have the same parameters; when there is a reproduction event, they send the propagule to a surrounding patch blindly, and if the patch is already occupied, the propagule dies. In the neutral with habitat selection model, the propagules select an empty patch, so their survival is ensured. In the hierarchical model, species have competitive dominance and more dominant ones can replace the less dominant with a replacement rate parameter. We use 100 species and start simulating the colonization of an empty area; then, we destroy a fixed amount of habitat using different regular patch sizes.

The results for all models are almost always that SS retains more species than SL. The extinction of species in patches depends on the quotient between reproduction and extinction rates in relation to patch size. The only case when SL > SS is when dispersal is insufficient to connect patches, and patch size is smaller than the minimum to prevent extinction. If patch size is above the critical size to maintain local populations, the SS > SL pattern is due to the sampling effect of aggregated species distribution combined with the reduction of dispersal ability of species.

High‐dispersal rates produce the homogenization of species distribution and a reduction of species richness and this is why habitat fragmentation by habitat loss retains more species when patches are smaller. The model predicts that if a set of species have more dispersal capabilities, the SS effect would be lower than for species with less dispersal.

Read the free Plain Language Summary for this article on the Journal blog.
Picky eaters: Selective microbial diet of avian ectosymbionts
Authors: Matthews Alix E. , Trevelline Brian K. , Wijeratne Asela J. , Boves Than J. 
Published: November 2024

Abstract

Individual organisms can function as ecosystems inhabited by symbionts. Symbionts may interact with each other in ways that subsequently influence their hosts positively or negatively, although the details of how these interactions operate collectively are usually not well understood.

Vane‐dwelling feather mites are common ectosymbionts of birds and are proposed to confer benefits to hosts by consuming feather‐degrading microbes. However, it is unknown whether these mites exhibit generalist or selective diets, or how their dietary selection could potentially impact their symbiotic functional nature.

In this study, we conducted 16S rDNA and ITS1 amplicon sequencing to examine the microbial diet of feather mites. We characterized and compared the diversity and composition of bacteria and fungi in the bodies of mites living on feathers of the Prothonotary Warbler, Protonotaria citrea, to microbial assemblages present on the same feathers.

We found less diverse, more compositionally similar microbial assemblages within mites than on feathers. We also found that mites were resource‐selective. Based on the identity and known functions of microbes found within and presumably preferred by mites, our results suggest that these mites selectively consume feather‐degrading microbes. Therefore, our results support the proposition that mites confer benefits to their hosts.

This study provides insight into symbioses operating at multiple biological levels, highlights the ecological and evolutionary importance of the synergistic interactions between species, and greatly expands our understanding of feather mite biology.
Patient‐Generated Data as Interventions in Doctor‐Patient Relationships? Negotiating (Un)Invited Participation in Medical Consultations
Authors: Augst Ann Kristin , Lämmerhirt Danny , Schubert Cornelius 
Published: November 2024

ABSTRACTHealth data generated by apps and devices are increasingly popular and expected to affect various aspects of doctor‐patient relationships. No longer confined to medically authorised and certified health technologies, a range of biomedical data—from heart rate to blood pressure or oxygen saturation—are captured and processed by consumer health devices. This article outlines different responses of physicians to patients collecting data with popular consumer devices and considers how the data may challenge or reify medical authority. Based on semi‐structured interviews with doctors and chronically ill patients in Germany from 2021 to 2023, we compare cases from diabetes, sleep disorders, cardiovascular conditions, obesity and ME/CFS and explore when, how and for what reasons different medical specialists consider patient‐generated data (PGD) from consumer devices in outpatient settings. Their response registers vary: whereas some physicians reject PGD that seem to compete with their diagnostic activities, others tolerate the data (collection), whereas still others more readily include them into their diagnostic practices. This suggests nuanced strategies for navigating the demarcation between accepting or rejecting ‘uninvited’ participation through PGD from consumer apps and devices.