bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding algorithm bias in artificial intelligence-enabled ERP software customization
Authors: Parthasarathy Sudhaman , Padmapriya S.T. 
Published: June 2023

Purpose
Algorithm bias refers to repetitive computer program errors that give some users more weight than others. The aim of this article is to provide a deeper insight of algorithm bias in AI-enabled ERP software customization. Although algorithmic bias in machine learning models has uneven, unfair and unjust impacts, research on it is mostly anecdotal and scattered.

Design/methodology/approach
As guided by the previous research (Akter et al., 2022), this study presents the possible design bias (model, data and method) one may experience with enterprise resource planning (ERP) software customization algorithm. This study then presents the artificial intelligence (AI) version of ERP customization algorithm using k-nearest neighbours algorithm.

Findings
This study illustrates the possible bias when the prioritized requirements customization estimation (PRCE) algorithm available in the ERP literature is executed without any AI. Then, the authors present their newly developed AI version of the PRCE algorithm that uses ML techniques. The authors then discuss its adjoining algorithmic bias with an illustration. Further, the authors also draw a roadmap for managing algorithmic bias during ERP customization in practice.

Originality/value
To the best of the authors’ knowledge, no prior research has attempted to understand the algorithmic bias that occurs during the execution of the ERP customization algorithm (with or without AI).
Design features of digital transformation maturity models: a systematic literature analysis and future research directions
Authors: Kirmizi Mehmet , Kocaoglu Batuhan 
Published: June 2023

Purpose
This study aims to analyze and synthesize the design features of existing digital transformation maturity models with a developed classification scheme and propose a generic maturity model development wireframe based on design science research.

Design/methodology/approach
A systematic literature review is conducted on digital transformation maturity models in peer-reviewed journals, including the Emerald Insight, Science Direct, Scopus, Taylor & Francis and Web of Science databases, which resulted in 21 studies. A concept-centric tabular approach is used to analyze the studies, and intersectional demonstrations are used to synthesize the findings regarding the design features.

Findings
The classification scheme derived from the tabular concept-centric approach and iteratively evolved results in three main and 25 subcategories related to the design features. Analysis and synthesis of the studies reveal the granularity of the existing digital transformation maturity models concerning the design features. Furthermore, considering the design features in the classification scheme, a generic maturity model development wireframe is proposed to guide the researchers.

Research limitations/implications
The generic maturity model development wireframe and the classification scheme that represents the design features of existing maturity models guide the researchers for the maturity model development roadmap.

Originality/value
The existing literature review studies do not focus on the design feature of digital transformation maturity models within a systematic literature review perspective. A unique classification scheme derived from the tabular concept-centric approach aims to analyze the granularity level of the existing models. Furthermore, the generic maturity model development wireframe includes the guidelines and recommendations of design science studies and presents a roadmap for maturity model researchers.
Teacher-student relationship and teaching styles in primary education: A model of analysis
Authors: Cardenal María Eugenia , Díaz-Santana Octavio , González-Betancor Sara M. 
Published: June 2023

PurposeThe teacher role in the classroom can explain important aspects of the student's school experience. The teacher-student relationship, a central dimension of social capital, influences students' engagement, and the teaching style plays an important role in student outcomes. But there is scarce literature that links teaching styles to teacher-student relationship. This article aims to (1) analyze whether there is a relationship between teaching styles and the type of relationship perceived by students; (2) test whether this relationship is equally strong for any teaching style; and (3) determine the extent to which students' perceptions vary according to their profile.Design/methodology/approachA structural equation model with four latent variables is estimated: two for the teacher-student relationship (emotional vs educational) and two for the teaching styles (directive vs participative), with information for 21,126 sixth-grade primary-students in 2019 in Spain.FindingsTeacher-student relationships and teaching styles are interconnected. The participative style implies a better relationship. The perceptions of the teacher are heterogeneous, depending on gender (girls perceive clearer than boys) and with the educational background (children from lower educational background perceive both types of teaching styles more clearly).Originality/valueThe analysis is based on the point of view of the addressee of the teacher's work, i.e. the student. It provides a model that can be replicated in any other education system. The latent variables, based on a periodically administered questionnaire, could be estimated with data from diagnostic assessments in other countries, which in turn would allow the formulation of context-specific educational policy proposals that take into account student feedback.
Analysing the decision approach of the SME entrepreneurs relating to internationalisation of firms: the study of Kenyan SME entrepreneurs
Authors: Nabi Md. Noor Un , Nyaoro Benjamin , Zohora Fatema Tuj 
Published: June 2023

Purpose
The purpose of this study is to analyse the internationalisation decision-making process using causation and effectuation.

Design/methodology/approach
The proposed hypotheses are tested with a survey data set of 148 Kenyan small and medium-sized enterprises (SMEs) to assess the pre-internationalisation decision-making of the firm. Multinomial logistic regression has been used to predict the categories from total effectuation to total causation.

Findings
The results of this study show that firm resources and capability provide a solid basis for firms' internationalisation. The entrepreneur becomes more effectual commence as they assess the firm's resource and capability. Entrepreneurs with a high entrepreneurial self-efficacy use both causation and effectuation with a bias towards effectuation. Increasing environmental predictability led the firms to use less effectuation, and increasing psychic distance entails high effectuation relative to high causation in the Kenyan context.

Research limitations/implications
The sample choice of the category is Kenyan SMEs which may raise some questions. This study assumed that SMEs sampled had the same level of internationalisation experience regardless of the number of years in business.

Originality/value
This study theoretically advances the field of international business by combining the Uppsala internationalisation model with effectuation; this study defines four antecedents of decision-making to form its conceptual framework to study internationalisation decision-making approach for SMEs using the effectuation logic and adds to the stream of literature that has reviewed the factors that influence the internationalisation decision-making process for SMEs in developing countries.
A multi-stage approach for design concept evaluation based on complex network and bounded confidence to achieve consensus
Authors: Hu Yukun , Yu Suihuai , Chen Dengkai , Chu Jianjie , Yang Yanpu , Ao Qing 
Published: June 2023

PurposeA successful process of design concept evaluation has positive influence on subsequent processes. This study aims to consider the evaluation information at multiple stages and the interaction among evaluators and improve the credibility of evaluation results.Design/methodology/approachThis paper proposes a multi-stage approach for design concept evaluation based on complex network and bounded confidence. First, a network is constructed according to the evaluation data. Depending on the consensus degree of evaluation opinions, the number of evaluation rounds is determined. Then, bounded confidence rules are applied for the modification of preference information. Last, a planning function is constructed to calculate the weight of each stage and aggregate information at multiple evaluation stages.FindingsThe results indicate that the opinions of the evaluators tend to be consistent after multiple stages of interactive adjustment, and the ordering of design concept alternatives tends to be stable with the progress of the evaluation.Research limitations/implicationsUpdating preferences according to the bounded confidence rules, only the opinions within the trust threshold are considered. The attribute information of the node itself is inadequately considered.Originality/valueThis method addresses the need for considering the evaluation information at each stage and minimizes the impact of disagreements within the evaluation group on the evaluation results.
BIM-IoT-FM integration: strategy for implementation of sustainable water management in buildings
Authors: Batista Luciana Teixeira , Franco José Ricardo Queiroz , Fakury Ricardo Hall , Porto Marcelo Franco , Alves Lucas Vinicius Ribeiro , Kohlmann Gabriel Santos 
Published: June 2023

PurposeThe objective of this research is to develop an solution to water management at the scale of buildings, through the technological resources. Automating analysis using 3D models helps increase efficiency in buildings during the operational phase, consequently promotes sustainability.Design/methodology/approachThis study presents a methodology based on Design Science Research to automate water management at building scale integrating BIM-IoT-FM. Data from smart meters (IoT) and the BIM model were integrated to be applied in facilities management (FM) to improve performance of the building. The methodology was implemented in a prototype for the web, called AquaBIM, which captures, manages and analyzes the information.FindingsThe application of AquaBIM allowed the theoretical evaluation and practical validation of water management methodology. By BIM–IoT integration, the consumption parameters and ranges for 17 categories of activities were determined to contribute to fulfill the research gap for the commercial buildings. This criterion and other requirements are requirements met in order to obtain the AQUA-HQE environmental sustainability certification.Practical implicationsTraditionally, water management in buildings is based on scarce data. The practical application of digital technologies improves decision-making. Moreover, the creation of consumption indicators for commercial buildings contributes to the discussion in the field of knowledge.Originality/valueThis article emphasizes the investigation of the efficiency of use in commercial buildings using operational data and the use of sustainable consumption indicators to manage water consumption.
Responses to predation pressure involve similar sets of genes in two divergent species of Daphnia
Authors: Zhang Xiuping , Wolinska Justyna , Blair David , Hu Wei , Yin Mingbo 
Published: June 2023

Abstract

Species that are not closely related can express similar inducible traits, but molecular mechanisms underlying the observed responses are often unknown, nor is it known if these mechanisms are shared between such species.

Here, we compared transcriptional profiles of two Daphnia species (D. mitsukuri and D. sinensis) from different subgenera, at both juvenile and adult developmental stages. Both species were exposed to the same predation threat (fish kairomones), and both showed similar induced morphological changes (reduced body length).

At the early developmental stage, response to predation risk resulted in similar changes in expression levels of 23 orthologues in both species. These orthologues, involved in 107 GO categories, changed in the same direction in both species (over‐ or underexpressed), in comparison to non‐exposed controls. Several of these orthologues were associated with DNA replication, structural constituents of cuticle or innate immune response. In both species, the differentially expressed (DE) genes on average had higher ω (dN/dS) values than non‐DE genes, suggesting that these genes had experienced greater positive selection or lower purifying selection than non‐DE genes.

Overall, our results suggest that similar suites of genes, responding in similar ways to predation pressure, have been retained in Daphnia for many millions of years.
Accounting for bias in prevalence estimation: The case of a globally emerging pathogen
Authors: Sentenac Hugo , Valenzuela‐Sánchez Andrés , Haddow‐Brown Natashja , Delgado Soledad , Azat Claudio , Cunningham Andrew A. 
Published: June 2023

Abstract

Accurate quantification of infection parameters is necessary to ensure effective surveillance, investigation and mitigation of infectious diseases. However, hosts and pathogens are often imperfectly observed and key epidemiological parameters, such as infection prevalence, can be biased if this observational uncertainty is not properly accounted for.

Here, we evaluated the combined effects of imperfect pathogen detection and host pseudoreplication on the estimation of infection prevalence of the pathogen Batrachochytrium dendrobatidis (Bd) in the southern Darwin's frog (Rhinoderma darwinii). This pathogen causes amphibian chytridiomycosis, a panzootic disease responsible for the greatest documented loss of biodiversity due to an infectious disease. From November 2018 to March 2019, we made 1085 captures of 641 R. darwinii individuals in two areas of Southern Chile. Captured frogs were individually identified to eliminate host pseudoreplication, skin‐swabbed twice in sequence, and each swab was analysed in duplicate using a real‐time polymerase chain reaction (qPCR) assay to detect Bd. To provide a robust estimate of period prevalence, we used a Bayesian multiscale occupancy model that considers pathogen imperfect detection arising from both sampling and diagnostic testing processes. Finally, using a deterministic matrix population model, we illustrated how the method chosen to estimate prevalence influenced our conclusions regarding the impact of Bd infection on host population trajectories.

Our results showed that Bd prevalence could be underestimated by 55% if false negatives and host pseudoreplication were not accounted for. Host pseudoreplication had a greater impact on prevalence underestimation than pathogen imperfect detection in our study. This underestimation in prevalence changed our interpretation of the impacts of Bd infections on our model species, from a nearly stable population using the naïve period prevalence to a declining one using our robust estimate.

Synthesis and applications. These results highlight the importance of using robust inferences to inform disease risk assessments and to efficiently allocate limited resources during mitigation strategies of infectious diseases. The methods used here can be applied to a wide range of host–pathogen systems, and will be of interest to both researchers and practitioners aiming to investigate and mitigate the impacts of infectious diseases on free‐ranging populations.
The trait‐mediated trade‐off between growth and survival depends on tree sizes and environmental conditions
Authors: Iida Yoshiko , Niiyama Kaoru , Aiba Shin‐ichiro , Kurokawa Hiroko , Kondo Shuntaro , Mukai Mana , Mori Akira S. , Saito Satoshi , Sun Yi , Umeki Kiyoshi 
Published: June 2023

Abstract

Interspecific relationships between growth and survival are critical determinants of tree species diversity maintenance in forests. The trade‐offs between growth and survival in co‐occurring tree species are believed to arise along a continuum of life‐history strategies. For example, co‐occurring species range from those that grow slowly and survive well in resource‐poor environments to those that grow quickly but have low survival rates in resource‐rich environments. However, uncertainties remain regarding how growth–survival trade‐offs are related to species traits, tree sizes or environmental conditions.

We examined how the relationships between species traits and growth–survival relationships shift in response to changes in stem sizes and across census periods with different climate conditions (frequency of strong winds, drought intensity) across 45 co‐occurring tree species based on 23 years of growth and survival records in a warm temperate rainforest on Yakushima Island, Japan. We developed hierarchical Bayesian models of relative growth and survival rates, including leaf traits, wood density and 95‐percentile maximum stem diameter as explanatory variables. We tested the relationships between estimated trait‐mediated growth–survival relationships and the indices of climate events during five census periods.

Each trait's effects on growth–survival relationships differed across the five census periods in response to climate conditions. Interspecific growth–survival relationships affected by a single trait axis for leaves or wood tended to be negative. In contrast, those affected by the maximum stem diameter tended to be positive. Such trends increased with more frequent strong winds or more intense droughts. The single‐trait effects on growth–survival relationships were stronger for smaller sizes than for larger sizes. For all traits combined, we found a significant growth–survival trade‐off only for small‐sized stems in three of five census periods.

Synthesis. Our results indicate that the effect of species traits on the growth–survival relationships depended on tree sizes, the census periods or both in response to the frequency or intensity of climate events. We argue the importance of incorporating spatial and temporal variations in environmental conditions into long‐term data from tree census to predict forest dynamics.
Phylogenetically conservative trait correlation: Quantification and interpretation
Authors: Westoby Mark , Yates Luke , Holland Barbara , Halliwell Ben 
Published: June 2023

Abstract

Correlation across species between two quantitative traits, or between a trait and a habitat property, can suggest that a trait value is effective in sustaining populations in some contexts but not others. It is widely held that such correlations should be controlled for phylogeny, via phylogenetically independent contrasts (PICs) or phylogenetic generalized least squares (PGLS).

A weakness of this idea is that a clade's traits tend to confer success in particular habitats or ways of life, and those niches in turn tend to select for the same traits to continue in the clade. This feedback mechanism can bind phylogeny and niche together as a unified cause for present‐day trait configurations. Accordingly, the phylogenetically conservative share of a trait correlation ought not to be excluded from consideration as potentially ecologically functional.

Another weakness is that PGLS does not yield a complete or accurate breakdown of covariation between traits A and B because it corresponds to a generating model where B predicts variation in A but not the reverse, and phylogenetic signal in B is not modelled.

Multi‐response mixed models using phylogenetic covariance matrices can quantify conservative trait correlation (CTC), a share of A‐B covariation that is phylogenetically conservative. Because the evidence is from correlative data, it is not possible to split CTC into causation by phylogenetic history versus causation by continuing reciprocal selection between A and B. Moreover, it is quite likely biologically that the two influences have acted in concert, through phylogenetic niche conservatism.

Synthesis: The CTC concept treats phylogenetic conservatism as a conjoint interpretation alongside ongoing influence of other traits. CTC can be quantified via multi‐response phylogenetic mixed models.
Reconciling healthism and techno‐solutionism: An observational study of a digital mental health trial
Authors: Berners‐Lee Ben 
Published: June 2023

AbstractIn a growing trend in digital psychiatry, algorithmic systems are used to determine correlations between data that is collected using wearable devices and self‐reports of mood. They then offer recommendations for behaviour modification for improved mood. The present study consists of observations of the development of one of these systems. Descriptions of the trial emphasise the powerful role of the intrinsically motivated, responsible participant on one hand and the empowering machine learning (ML)‐based technology on the other. This conceptualisation is shown to extend the neoliberal paradox of a freedom that, to be maintained, must be continually adjusted through discipline. Because of the paradoxical nature of this formulation, laboratory members disagree about the balance of agency between the objective machine learning system and the empowered participant. The guides who help participants interpret ML outputs and implement system recommendations are ascribed a replaceable role in formal accounts. Observations of this guidance practice make clear not only the important role played by guides but also how their work is relegated to the technological side of the broader formulation of the trial and further how this conceptualisation affects the way they conduct their work.
BETWEEN DEPRESSION AND HOPE: Affective Mediations of Urban Restructuring in Leipzig, East Germany
Authors: Reichle Leon Rosa 
Published: June 2023

AbstractIn this article, which is based on an empirical analysis of neoliberal restructuring in Leipzig, East Germany, I describe how the study of affective atmospheres adds to our understanding of urban restructuring, showing how collective moods affect (de)mobilization, contestation and the regulation of urban political economy to shed light on the relation between institutional, political and social processes. I demonstrate the relevance of affect for power relations, political interactions beyond rationality, and the rhythms and temporalities of urban restructuring, as exemplified by two prominent atmospheres that characterize Leipzig—post shrinkage depression (PSD) and anticipatory hope (AH).