bluuebunny/crossref_metadata_2025_split huggingface dataset:
A method for calibrating robotic kinematic parameters based on a multi-error source model and an optimized measurement pose set
Authors: Cheng Bo , Wang Bo , Chen Shujun , Zhang Ziqiang , Xiao Jun 
Published: January 2025

Purpose
The purpose of this study is to improve the accuracy of industrial robot kinematic parameter identification and position accuracy by solving the problem of insufficient consideration of error sources in the kinematic parameter identification model and optimizing the selection of measurement pose set.

Design/methodology/approach
In this study, a kinematic calibration method for industrial robots considering multiple error sources is proposed. Based on the Modified Denavit Hartenberg (MD-H) model, a robot kinematics identification model including joint reduction ratio error, target ball installation error and coordinate system transformation error is established. Taking the optimal observability index O1 and the minimum flexible deformation as the optimization objectives, a measurement pose set optimization method based on Non-dominated Sorting Genetic Algorithm II (NSGA-II) is proposed to obtain a measurement pose set with higher identification accuracy.

Findings
Through experiments conducted with the Nantong Zhenkang ZK1400-6 robot as the test subject, the kinematic parameters identified by the optimized measurement pose set are more accurate than the randomly selected measurement pose set, and the positioning accuracy of the robot is improved from 2.11 to 0.31 mm, an increase of 85.3%.

Originality/value
This study introduces a position error model that comprehensively accounts for the error sources causing positioning inaccuracies. Building on this foundation, a novel flexible deformation index is proposed to quantify the flexible deformation in the measurement pose set, thereby reducing the impact of such deformation on the position error in the model. To the best of the authors’ knowledge, for the first time, this study presents an optimization method for the measurement pose set based on NSGA-II, using the flexible deformation index and observability index as objectives for multi-objective optimization, simultaneously optimizing the pose error and Jacobian matrix in the error model.
Unravelling the relationship among corporate sustainability initiatives, executive compensation and corporate carbon performance: new insights from African countries
Authors: Saa Vida Y. , Morrison Emmanuel A. , Adu Douglas A. , Joseph Damilola 
Published: January 2025

PurposeAlthough listed firms in Africa are increasingly establishing board sustainability committees, their impact on corporate outcomes in the region remains relatively understudied. This study investigates the effect of executive compensation (EC) and board sustainability committee initiatives (BSCIs) on both self-reported greenhouse gas emission reduction initiatives (SRGI) and actual greenhouse gas emissions (GHGE).Design/methodology/approachThrough the lens of resource-based view and legitimacy and stakeholder theoretical perspectives, the study conducts a fixed-effects model over a dataset of 2,310 firm-year observations from African countries between 2002 and 2022.FindingsThe findings show that while EC has a negative impact on SRGI, it does not have a similar effect on outcome-based GHGE reduction. The study observes that SRGI has no effect on actual GHG emissions. We add a fresh dimension to the literature by documenting that BSCIs are associated with greater outcome-based GHGE but do not seem to improve symbolic SRGI. The evidence shows that BSCIs have no moderating impact on the association between symbolic SRGI and outcome-based GHGE. Finally, the study establishes that the predicted associations vary across different periods.Originality/valueThis study helps unpack the role of the board sustainability committee, which Orazalin et al. (2024) show has key economic implications. The findings help stakeholders including corporate boards, executives and regulators to understand how board sustainability committee characteristics and EC are associated with GHG emissions. The results are particularly essential as this study demonstrates the need for specific standards for disclosing GHG emission-related information, notably in the non-existence of mandatory GHG reporting.
The role of AI adoption in transforming the accounting profession: a diffusion of innovations theory approach
Authors: Assidi Soufiene , Omran Mohamed , Rana Tarek , Borgi Hela 
Published: January 2025

Purpose
This study aims to examine the impact of Artificial Intelligence (AI) adoption on Tunisia’s accounting profession, using the diffusion of innovations theory (DIT) to explore opportunities and challenges.

Design/methodology/approach
A survey of 400 academics and professional accountants in Tunisia was conducted, focusing on three key areas: the effect of AI on professional roles and tasks, the enhancement of digital work environments and the development of educational programs. Structural equation modelling (SEM) was used to test the relationships among these variables, providing robust statistical insights.

Findings
The results indicate that AI adoption leads to a 75.7% improvement in the functionality and responsibilities of accounting professionals, a 72.1% enhancement in digital workplace productivity and a 58.4% increase in educational program effectiveness. Despite these positive outcomes, the study identifies significant challenges, including a 63.2% concern related to change management and a 59.8% need for substantial training and technical resources investment. To address these challenges, the findings advocate for targeted professional development programs, collaborative policymaking to establish implementation guidelines and a curriculum overhaul to equip future accountants with AI competencies.

Research limitations/implications
The findings suggest Tunisian organisations should invest in AI to achieve substantial efficiency and risk management gains. Practitioners, instructors and students are expected to increase their technology expertise to develop more effective accounting procedures in light of AI issues. Collaboration among policymakers, regulators and practitioners is essential to establish clear implementation guidelines.

Originality/value
This study offers theoretical contributions by applying the DIT to AI adoption within an emerging economy, providing a unique perspective on how AI drives digital transformation in the accounting sector. In addition, it delivers practical implications by identifying strategies for overcoming barriers to AI adoption, such as fostering organisational readiness, ensuring access to training resources and enhancing professional collaboration to enable successful AI integration.
Handling changes on and changes of the market: market–political ambidexterity in the Swedish market for solar energy
Authors: Kihlström Victoria , Åberg Susanne 
Published: January 2025

Purpose
Firms regularly have to handle business-related market changes on the market, such as new market entrants, increased competition, changing prices and changing demand. However, firms active on a market subject to political interventions, resulting in changes of the market, also have to handle different support systems with subsidies, taxes, regulations, etc. As these interventions affect both firms and customers, it is important for firms to adapt to them, but if they continue to change, firms also need to adapt to changing conditions. The purpose of the paper is to study how firms handle continuous market changes and shifting governmental interventions through market–political ambidexterity.

Design/methodology/approach
Based on a qualitative approach, 13 in-depth interviews focusing on how firms handle market changes and political interventions over time were conducted during two time periods. The data was coded in several steps, using systematic combining.

Findings
The empirical results reveal that firm size is crucial in developing market–political ambidexterity; small firms lack the resources needed to handle all changes in an ambidextrous way. Changes on the market require firms to be active, whereas changes of the market, e.g. interventions, require internal stability in the firms. Changes on the market are easier to handle, wherefore there seems to be a need for firms to develop political exploration and exploitation activities related to market–political ambidexterity.

Originality/value
This study contributes to industrial marketing by increasing our understanding of how SMEs handle the simultaneous but sometimes contradicting demands from market changes and political interventions by developing market–political ambidexterity.
Optimising efficiency and patient-centredness in general hospitals: insights from data envelopment and matrix analysis
Authors: Lee Hyunseo , Sohn Minsung , Choi Mankyu 
Published: January 2025

PurposeMedical institutions face management challenges from intense competition and an unclear link between patient-centredness and profitability. This study examined the association between efficiency and patient-centredness in general hospitals and identified management strategies to optimise both.Design/methodology/approachData from the 2021 patient experience evaluation by the Health Insurance Review and Assessment Service and financial statements from the Korea Health Industry Development Institute for general hospitals in South Korea were used. Efficiency scores and patient-centredness were determined for 256 general hospitals using data envelopment analysis (DEA), and their relationships were analysed through matrix analysis. The Kruskal–Wallis and Mann–Whitney tests assessed group differences identified through matrix analysis.FindingsEfficiency and patient-centredness can be improved concurrently. Hospitals in the highest efficiency group reported significantly higher average inpatient revenue per 100 beds (179.67) and net profit (158.84) than those in lower-performing groups (p < 0.001). Optimal management of hospital beds and specialised diagnostic equipment per 100 beds was associated with higher efficiency scores, while a greater number of doctors and nurses positively influenced patient-centredness metrics. Therefore, general hospitals should invest in personnel and resources to enhance efficiency and patient-centredness, achieving optimal financial and operational outcomes.Originality/valueThis study combines DEA and matrix analysis to explore the link between hospital efficiency and patient-centredness, using recent data on patient experience and financials from South Korean hospitals. It identifies strategies to enhance both dimensions.
Supporting teachers in higher education: design of an institutional programme from a socio-technical perspective
Authors: López Flores Nidia Guadalupe , Óskarsdóttir María , Islind Anna Sigridur 
Published: January 2025

Purpose
The acceleration of technology adoption in higher education, prompted by the global shift to online teaching during the COVID-19 pandemic, called for responsive programmes to address pedagogical challenges. This paper aims to present the design process and initial adoption of an institutional programme created to support instructors in providing educational resources for online and hybrid undergraduate courses at Reykjavik University.

Design/methodology/approach
By adopting a socio-technical perspective, the programme encompasses teacher support and digital platform use. Additionally, the programme aimed to enhance the student experience by increasing course consistency and facilitating data collection for future research on learning analytics.

Findings
The findings demonstrate the programme’s successful adoption, effectively strengthening teachers’ practices. Key contributions include a teacher-centric perspective on technology challenges and a socio-technical conceptualisation informed by teachers’ experiences during the pandemic.

Originality/value
This research provides valuable insights for teachers, administrators and researchers developing similar initiatives for effective professional development of faculty in online and hybrid teaching environments.
FRT*: fast reactive tree for mobile robot replanning in unknown dynamic environments
Authors: Li Zheng , Chen Yanjie , Zhang Zhixing , Zhong Hang , Wang Yaonan 
Published: January 2025

Purpose
This study aims to introduce the fast reactive tree (FRT*) algorithm for enhancing replanning speed and reducing the overall cost of navigation in unknown dynamic environments.

Design/methodology/approach
FRT* comprises four key components: inverted tree build, convex hull construction, dead nodes inform activation and lazy-rewiring replanning. First, an initial path is found from the inverted tree where the valid structure is preserved to minimise re-exploration areas during the replanning phase. As the robot encounters environment changes, convex hulls are extracted to sparsely describe impacted areas. Next, the growth direction of the modified tree is biased by the inform activation of dead nodes to avoid unnecessary exploration. In the replanning phase, the tree structure is optimized using the proposed lazy-rewiring replanning to find a high-quality path with low computation burden.

Findings
A series of comprehensive simulation experiments demonstrate that the proposed FRT* algorithm can efficiently replan short-cost feasible paths in unknown dynamic environments. The differential wheeled mobile robot with varying reference linear velocities is used to validate the effectiveness and adaptability of the proposed strategy in real word scenarios. Furthermore, ablation studies are conducted to analyze the significance of the key components of FRT*.

Originality/value
The proposed FRT* algorithm introduces a novel approach to addressing the challenges of navigation in unknown dynamic environments. This capability allows mobile robots to safely and efficiently navigate through unknown and dynamic environments, making the method highly applicable to real-world scenarios.
On Arrhenius steady hydromagnetic heat transfer to natural convection flow in a stretching upright sheet: viscous dissipation and Newtonian heating
Authors: Omowaye Adeola John , Adesina Adedayo Naheem , Aleem Taoqer Ayobami , Omowaye Joshua Ayodeji , Ayinde Samuel Olukayode 
Published: January 2025

Purpose
The purpose of this study is to investigate the impact of Arrhenius kinetics on hydromagnetic free convection of an electrically conducting fluid flowing past a vertically stretched sheet maintained at a constant temperature, considering viscous dissipation. In this study, the understanding of the Biot number is essential for comprehending and enhancing heat transfer processes in a flow. Mastering this concept is crucial for the efficient design and management of various industrial and natural systems. The effect of Newtonian heating is accurately addressed by adjusting the traditional temperature boundary condition.

Design/methodology/approach
The presiding inconsistent Partial differential equations are contrasted to ordinary differential equations by similitude changes and the solutions are completed numerically by fourth-order Runge-Kutta (RK-4) and shooting procedures. Tables and graphs feature vividly in annotating the outcomes of changing parameters on the flow.

Findings
Notably, the Biot number significantly impacts temperature gradients and distribution, which subsequently affect the flow’s velocity and thermal characteristics; that is, velocity and temperature contours increase directly to an upsurge in the Biot number. Contrasting with existing work, a perfect harmony is experienced. Arrhenius kinetics are essential for predicting and managing fluid flow behaviour in systems where reactions are sensitive to temperature. Grasping this relationship helps engineers and scientists enhance process efficiency, ensure safety and optimize fluid-based systems. Similarly, Newtonian heating significantly impacts fluid flow by affecting temperature distribution, viscosity, buoyancy-driven flows and flow stability. Mastering the control of this heating process is vital in both natural and engineered fluid systems. Technical applications of this research include variation cooling and atomic power generation refrigeration.

Originality/value
The distinguishing quality of this research lies in the scrutiny of Arrhenius steady hydromagnetic heat transfer to natural convection flow in a stretching upright sheet: viscous dissipation and Newtonian heating. To best of the authors’ understanding, a problem like this has not been considered. The findings in this work will give useful information to scientists and engineers.
Intraspecific variability across seasons and geographically distinct populations can modify species contributions to ecosystems
Authors: Sanders Trystan , Solan Martin , Godbold Jasmin A. 
Published: January 2025

Abstract

Environmental change profoundly alters biodiversity and, by extension, species contributions to ecosystem functioning. While it is well‐established that these impacts can be geographically and temporally nuanced, most assessments of species contributions to ecosystems assume that species traits are temporally and spatially fixed, and those that do acknowledge intraspecific variability have failed to fully determine its relevance to ecosystem functioning.

Here, using three geographically distinct populations of sediment‐dwelling invertebrates, we combine a laboratory experiment with Bayesian hierarchical modelling to empirically quantify the prevalence of intraspecific trait variability in relation to geographic locality and seasonal conditions. Furthermore, we assessed the role of intraspecific trait variability in mediating sediment particle mixing, nutrient generation and benthic oxygen uptake.

We found that geographic and seasonal variability in body size and sediment particle reworking modified macrofaunal contributions to sediment total oxygen uptake and nutrient generation. These associations, however, were not consistent across all measured traits and ecosystem functions.

Our findings highlight asymmetries in both the absolute magnitude and/or direction of species responses to changing seasonal conditions, indicating that the relative functional contributions species make to ecosystems can be temporally or spatially transient and may, therefore, diverge from expectations based on contemporary functional group typologies.

These findings highlight a critical knowledge gap in our understanding of the key sources of variability affecting functionally important aspects of species behaviour and physiology and call for the development of dynamic ecological assessment and management approaches that account for individual as well as species responses to changing environments.

Read the free Plain Language Summary for this article on the Journal blog.
Frankenstein matrices: Among‐population life history variation affects the reliability and predictions of demographic models
Authors: Rosa Giacomo , Schmidt Benedikt R. , Léna Jean‐Paul , Monod‐Broca Benjamin , Vignoli Leonardo , Tournier Emilie , Bonnaire Eric , Buschmann Holger , Kinet Thierry , Laudelout Arnaud , Fonters Remi , Biancardi Carlo , Di Cerbo Anna R. , Langlois Dominique , Thirion Jean‐Marc , Morin Lucy , Pichenot Julian , Moquet Julien , Cayuela Hugo , Canessa Stefano 
Published: January 2025

Abstract

Population matrix models are routinely used to study the demography of wild populations and to guide management choices. When vital rates are unknown for a specific population or life history stage, researchers often replace them with estimates from other populations of the same species. Such ‘hybrid’ matrices might ignore among‐population life history variation and lead to incorrect inferences.

In this study, we examined the real‐world effect of using hybrid matrices on demographic inference and management decisions, using a large dataset on yellow‐bellied toad (Bombina variegata) populations, an amphibian species whose life history depends on human land use. We estimated stage‐specific survival and recruitment for 18 populations across different habitat types. We then assessed how estimated population growth rates and elasticities changed when population‐specific vital rates were replaced by estimates from other populations, chosen randomly or based on habitat, demographic or geographic proximity.

The use of hybrid matrices mixing demographic estimates from different populations and habitats biased predictions. The mean bias was relatively minor even when sampling randomly across all populations, because our large dataset represented the whole range of life histories and errors cancelled out on average. However, borrowing estimates from geographically close or demographically similar populations substantially reduced the risk of extreme errors. Borrowing from populations from similar habitat types could also reduce bias, but results varied depending on the exact habitat types concerned.

Our study illustrates how habitat‐specific among‐population variation in life history affects the reliability of population matrices commonly used in evolutionary demography, ecology and conservation. When the use of hybrid population matrices cannot be avoided, their creation can be informed by additional information about ecological or demographic patterns, helping reduce bias. When such information is not available, we recommend that studies should consider the whole space of parameter estimates (the complete range of estimates available), thus transparently describing the true uncertainty surrounding demographic estimates.