bluuebunny/crossref_metadata_2025_split huggingface dataset:
Monetary policy in practice: do central banks respond to movements in exchange rate and credit growth?
Authors: Le Hai , Nguyen Phuong 
Published: December 2023

PurposeThis study examines the importance of exchange rate and credit growth fluctuations when designing monetary policy in Thailand. To this end, the authors construct a small open economy New Keynesian dynamic stochastic general equilibrium (DSGE) model. The model encompasses several essential characteristics, including incomplete financial markets, incomplete exchange rate pass-through, deviations from the law of one price and a banking sector. The authors consider generalized Taylor rules, in which policymakers adjust policy rates in response to output, inflation, credit growth and exchange rate fluctuations. The marginal likelihoods are then employed to investigate whether the central bank responds to fluctuations in the exchange rate and credit growth.Design/methodology/approach This study constructs a small open economy DSGE model and then estimates the model using Bayesian methods.Findings The authors demonstrate that the monetary authority does target exchange rates, whereas there is no evidence in favor of incorporating credit growth into the policy rules. These findings survive various robustness checks. Furthermore, the authors demonstrate that domestic shocks contribute significantly to domestic business cycles. Although the terms of trade shock plays a minor role in business cycles, it explains the most significant proportion of exchange rate fluctuations, followed by the country risk premium shock.Originality/value This study is the first attempt at exploring the relevance of exchange rate and credit growth fluctuations when designing monetary policy in Thailand.
Is “luxury” simply a marketing gimmick? Evaluating value in the experiencescapes of developed and developing countries
Authors: Karri Rohan 
Published: December 2023

PurposeLuxury as a construct warrants an assessment of entities promoting themselves as luxurious offerings. Therefore, this study attempts to evaluate the experiencescapes of luxury trains operating in developed and developing countries to assess the presence of luxury values in the elements affecting tourists' experiences and immersion.Design/methodology/approachTwo different types of luxury trains were selected from across developed and developing countries for a holistic assessment of the experiencescapes. Through netnography and hermeneutic interpretation, this study analyzes 218 experiential descriptions on Tripadvisor from luxury trains of Australia, UK, Peru and India.FindingsAlthough luxury trains in both the regions entailed financial, functional, social and individual value, they struggled to offer these values in conjunction. While the positioning of luxury trains in developing countries under the “inaccessible luxury” segment is exaggerated, developed countries were also found to struggle with customer service and management.Practical implicationsBy emphasizing on areas within the control of the service providers, short-haul luxury trains can be a better fit in developing countries. Better usability testing and employee training should be undertaken to improve the functional values of luxury in long-haul luxury trains of developed countries.Originality/valueThis article not only assesses the validity of luxury trains' positioning but also provides new insights into the nature of the tourist immersion process. Having extensively discussed experiences in the backdrop of luxury, it contributes to the progression of literature on luxury trains, experiencescapes and immersion.
How to assess the intellectual capital of firms in uncertain times: a systematic literature review and a proposed model for practical adoption
Authors: Cosa Marcello , Pedro Eugénia , Urban Boris 
Published: December 2023

PurposeIntellectual capital (IC) plays a crucial role in today’s volatile business landscape, yet its measurement remains complex. To better navigate these challenges, the authors propose the Integrated Intellectual Capital Measurement (IICM) model, an innovative, robust and comprehensive framework designed to capture IC amid business uncertainty. This study focuses on IC measurement models, typically reliant on secondary data, thus distinguishing it from conventional IC studies.Design/methodology/approachThe authors conducted a systematic literature review (SLR) and bibliometric analysis across Web of Science, Scopus and EBSCO Business Source Ultimate in February 2023. This yielded 2,709 IC measurement studies, from which the authors selected 27 quantitative papers published from 1985 to 2023.FindingsThe analysis revealed no single, universally accepted approach for measuring IC, with company attributes such as size, industry and location significantly influencing IC measurement methods. A key finding is human capital’s critical yet underrepresented role in firm competitiveness, which the IICM model aims to elevate.Originality/valueThis is the first SLR focused on IC measurement amid business uncertainty, providing insights for better management and navigating turbulence. The authors envisage future research exploring the interplay between IC components, technology, innovation and network-building strategies for business resilience. Additionally, there is a need to understand better the IC’s impact on specific industries (automotive, transportation and hospitality), Social Development Goals and digital transformation performance.
Dialogue embedded synectics model of teaching: a hybrid model for promotion of creativity
Authors: Sahoo Pravat Kumar , Pany Sesadeba , Mohanty Sankar Prasad , Dash Kalpana Rani , Rana Saikalyani 
Published: December 2023

PurposeThe study aims to investigate the effect of the dialogue embedded synectics model of teaching on the creative thinking of students.Design/methodology/approachThe research design of the study was a nonequivalent control group design of quasi experimental research. This study collected data from 80 students in the seventh grade from two different government schools in Bathinda, Punjab, India, which were selected using a random method. The subjects of experimental group were taught by the investigator using the dialogue embedded synectics model of teaching and the subjects of control group were taught by their teacher using the traditional teaching method, i.e. the Herbartian method. The data collections were done using the creative thinking test developed by Baqer Mehdi (1995). The data analysis techniques used t-test.FindingsKey finding indicates that the dialogue embedded synectics model of teaching is effective in enhancing the creative thinking of students as compared to the traditional method.Originality/valueThe present work is unique in terms of development of an innovative pedagogy, i.e. the dialogue embedded synectics model of teaching, which has the potential to encourage students' creative thinking, a key concern for society in the 21st century. Therefore, it is suggested to conduct similar type of studies on this innovative pedagogy and this model of teaching may be used by teachers for enhancing creative thinking of seventh class students.
Leading for growth: a daily investigation of affiliation resources provided by the leader and nonwork mastery
Authors: Stein Maie , Begemann Vanessa , Gregersen Sabine , Vincent-Höper Sylvie 
Published: December 2023

PurposeAlthough nonwork mastery generates personal resources and improves employee well-being and performance, employees must invest personal resources to experience mastery during nonwork time. Drawing on conservation of resources theory and resource exchange perspectives, the purpose of this study is to examine the role of day-to-day provisions of affiliation resources by the leader in generating the personal resources necessary for employees to engage in nonwork mastery.Design/methodology/approachDaily diary data were collected from 198 employees (768 days). The proposed model was tested using Bayesian multilevel path analysis.FindingsThe results showed that on days when employees perceived that their leader provided more affiliation resources, they reported higher self-esteem and work engagement and, in turn, experienced higher levels of mastery. Furthermore, employees in high-quality (vs low-quality) leader–member exchange (LMX) relationships benefitted more from the affiliation resources provided by their leader in terms of work engagement.Practical implicationsThe findings suggest that leaders can actively manage their employees' daily experience and functioning through seemingly ordinary demonstrations of warmth, care, and positive regard.Originality/valueThis study highlights the important role of leaders in improving employee daily work and nonwork experience and functioning and sheds light on the tangible resource provisions in the work context and the associated personal resources that account for daily variations in mastery. By distinguishing between daily affiliation resources and general perceptions of LMX relationship quality, this study contributes to a more nuanced understanding of the implications that resource provisions by the leader have for employees.
The role of management accounting on the relationship between corporate social responsibility and performance in SMEs
Authors: Ahmad Kamilah , Mohamed Zabri Shafie 
Published: December 2023

Purpose
This study aims to explore corporate social responsibility (CSR) implementation in small and medium-sized enterprises (SMEs) and examines the role of management accounting practices (MAPs) in the relationship between CSR and performance in SMEs.

Design/methodology/approach
A questionnaire survey was conducted among 1,000 SMEs in the southern region of Malaysia, and 203 valid replies were received.

Findings
The results indicate that most SMEs are informed about their social responsibilities across several CSR dimensions. There is evidence that supports the significant direct relationship between CSR and firm performance, and MAPs significantly and indirectly contribute to the effect of CSR on firm performance.

Originality/value
The findings contribute to an understanding of how the integration of CSR and MAPs can amplify the effect of CSR implementation on performance in SMEs. The finding may be useful for the relevant policymakers to increase socially responsible activities among SMEs to spur further growth for SMEs and society. SMEs may acknowledge MAPs as a significant intermediary in making CSR activities financially and operationally feasible.
Country-level governance and sustainable development goals: implications for firms’ sustainability performance
Authors: Almaqtari Faozi A. , Elsheikh Tamer , Hussainey Khaled , Al-Bukhrani Mohammed A. 
Published: December 2023

Purpose
The purpose of this study is to examine the impact of country-level governance on sustainability performance, taking into account the effect of sustainable development goals (SDGs) and board characteristics.

Design/methodology/approach
This study uses panel data analysis using fixed effect models to investigate the influence of country-level governance on sustainability performance while considering the effect of SDGs and board characteristics. The sample comprises 8,273 firms across 41 countries during the period spanning from 2016 to 2021. The sample is divided into two categories based on the score of SDGs.

Findings
The findings of this study show that countries with high SDGs score have better overall country-level governance and board attributes which have a statistically significant positive impact on sustainability performance. However, for those countries with low SDGs, political stability shows a statistically insignificant and negative impact on sustainability performance, while government effectiveness indicates a statistically insignificant positive impact on sustainability performance.

Originality/value
This study contributes to the literature by providing empirical evidence on the relationship between country-level governance, SDGs, board characteristics and sustainability performance. The study also highlights the importance of considering the effect of SDGs on the relationship between country-level governance and sustainability performance. The findings of this study could be useful for policymakers and firms in improving their sustainability performance and contributing to sustainable development.
Scaling for social impact: understanding social innovation through local empowerment strategies
Authors: Rado Istvan , Nuchpiam Prapin 
Published: December 2023

Purpose
This paper aims to provide a nuanced understanding of philosophies underpinning social innovation based on the action research strategies applied in the field.

Design/methodology/approach
Literature review was conducted to identify action research strategies referred to in the social innovation literature. Through stratified purposive sampling, the authors then selected nonprofit organizations, each closely associated with one of the strategies. Qualitative content analysis was applied to documents published by these organizations for an in-depth exploration of how the action research strategies frame the three dimensions of social innovation, namely, the product, process and empowerment dimensions.

Findings
The authors identified four broad action research strategies referred to in the social innovation literature. Each strategy inspires four distinct narratives of social innovation centered around key concepts: prototyping, evidence, asset-building and co-creation.

Research limitations/implications
The methodology used is characterized by depth rather than scope. Although diverse types of documents were used, the documents are limited to publications by four institutions. A deductive approach using the categories should be used in future empirical research.

Originality/value
The paper contributes to the discussion about different schools and research agendas in the field of social innovation. In particular, the authors examine the action research strategies adopted in the field, shedding light on incompatible views and strategies within certain research clusters while identifying common ground between authors belonging to different schools.
The art and science of de‐weaponizing disinformation for the public good
Authors: Sierra Rodrigo A. , DeJong Justin , Zembik Joshua , Hood Joel 
Published: December 2023

AbstractFrom the earliest days of the pandemic, the American Medical Association Enterprise Communications team was operating in the white space. Organisational development gurus define “white space” as places where “rules are vague, authority is fuzzy, budgets are nonexistent, and strategy is unclear–and where, as a consequence, entrepreneurial activity that helps reinvent and renew an organisation takes place,” according to the Harvard Business Review.
Phenibut screening and quantification with liquid chromatography–tandem mass spectrometry and its application to driving cases
Authors: Dziadosz Marek , Rosenberger Wolfgang , Bolte Katarina , Klintschar Michael , Teske Jörg 
Published: December 2023

AbstractAn analytical strategy for identification by an LC–MS/MS multitarget screening method and a suitable LC–MS/MS based quantification were developed for the psychotropic drug phenibut. The samples analyzed were collected during traffic control and were associated with driving under the influence of drugs. A positive sample for phenibut was identified in a single case of driving under the influence. The quantification revealed a drug concentration of 1.9 μg/mL. An interaction with blood alcohol (BAC = 0.10%) was discussed as the explanation of the way of driving and deficit manifestations observed (swaying, nystagmus, quivering of the eyelid, and reddened eyes). According to the available information, the quantified phenibut concentration could be explained by an intake of four tablets (self‐reported) during the day containing 250 mg of the drug. Chromatography was performed with a Luna 5 μm C18 (2) 100 A, 150 mm × 2 mm analytical column, and a buffer system consisted of 10 mM ammonium acetate and 0.1% acetic acid (v/v) included in mobile phases marked as A (H2O/methanol = 95/5, v/v) and B (H2O/methanol = 3/97, v/v). An effective limit of detection (LOD = 0.002 μg/mL) could be achieved for the multitarget screening method. The quantification of phenibut was performed on a second LC–MS/MS system with LOD/LOQ values of 0.22/0.40 μg/mL. Since phenibut quantification data are rare, the presented information can be used with caution for evaluation of positive cases in the future.
Evolution and conservation genetics of pangolins
Authors: GU Tongtong , HU Jingyang , YU Li 
Published: December 2023

AbstractPangolins (Pholidota, Manidae) are classified as an evolutionarily distinct and globally endangered mammal due to their unique morphology (nail‐like scales and a myrmecophagous diet) and being the victim of heavy poaching and worldwide trafficking. As such, pangolins serve as a textbook example for studying the special phenotypic evolutionary adaptations and conservation genetics of an endangered species. Recent years have demonstrated significant advancements in the fields of molecular genetics and genomics, which have translated to a series of important research achievements and breakthroughs concerning the evolution and conservation genetics of pangolins. This review comprehensively presents the hitherto advances in phylogeny, adaptive evolution, conservation genetics, and conservation genomics that are related to pangolins, which will provide an ample understanding of their diversity, molecular adaptation mechanisms, and evolutionary potentials. In addition, we highlight the priority of investigating species/population diversity among pangolins and suggest several avenues of research that are highly relevant for future pangolin conservation.
Metazoa‐level USCOs as markers in species delimitation and classification
Authors: Dietz Lars , Mayer Christoph , Stolle Eckart , Eberle Jonas , Misof Bernhard , Podsiadlowski Lars , Niehuis Oliver , Ahrens Dirk 
Published: December 2023

AbstractMetazoa‐level universal single‐copy orthologs (mzl‐USCOs) are universally applicable markers for DNA taxonomy in animals that can replace or supplement single‐gene barcodes. Previously, mzl‐USCOs from target enrichment data were shown to reliably distinguish species. Here, we tested whether USCOs are an evenly distributed, representative sample of a given metazoan genome and therefore able to cope with past hybridization events and incomplete lineage sorting. This is relevant for coalescent‐based species delimitation approaches, which critically depend on the assumption that the investigated loci do not exhibit autocorrelation due to physical linkage. Based on 239 chromosome‐level assembled genomes, we confirmed that mzl‐USCOs are genetically unlinked for practical purposes and a representative sample of a genome in terms of reciprocal distances between USCOs on a chromosome and of distribution across chromosomes. We tested the suitability of mzl‐USCOs extracted from genomes for species delimitation and phylogeny in four case studies: Anopheles mosquitos, Drosophila fruit flies, Heliconius butterflies and Darwin's finches. In almost all instances, USCOs allowed delineating species and yielded phylogenies that corresponded to those generated from whole genome data. Our phylogenetic analyses demonstrate that USCOs may complement single‐gene DNA barcodes and provide more accurate taxonomic inferences. Combining USCOs from sources that used different versions of ortholog reference libraries to infer marker orthology may be challenging and, at times, impact taxonomic conclusions. However, we expect this problem to become less severe as the rapidly growing number of reference genomes provides a better representation of the number and diversity of organismal lineages.
Nighthawk: Acoustic monitoring of nocturnal bird migration in the Americas
Authors: Van Doren Benjamin M. , Farnsworth Andrew , Stone Kate , Osterhaus Dylan M. , Drucker Jacob , Van Horn Grant 
Published: December 2023

Abstract

Animal migration is one of nature's most spectacular phenomena, but migratory animals and their journeys are imperilled across the globe. Migratory birds are among the most well‐studied animals on Earth, yet relatively little is known about in‐flight behaviour during nocturnal migration. Because many migrating bird species vocalize during flight, passive acoustic monitoring shows great promise for facilitating widespread monitoring of bird migration.

Here, we present Nighthawk, a deep learning model designed to detect and identify the vocalizations of nocturnally migrating birds. We trained Nighthawk on the in‐flight vocalizations of migratory birds using a diverse dataset of recordings from across the Americas.

Our results demonstrate that Nighthawk performs well as a nocturnal flight call detector and classifier for dozens of avian taxa, both at the species level and for broader taxonomic groups (e.g. orders and families). It achieves an average precision score above 0.80 for 50 species and a mean average precision of 0.96 across 4 orders. The model accurately quantified nightly nocturnal migration intensity (80% variation explained) and species phenology (78% variation explained) and performed well on data from across North America. Incorporating modest amounts of additional annotated audio (50–120 h) into model training yielded high performance on target datasets from both North and South America (average precision on order Passeriformes >0.99).

By monitoring the vocalizations of actively migrating birds, Nighthawk provides a detailed window onto nocturnal bird migration that is not presently attainable by other means (e.g. radar or citizen science). Scientists, managers and practitioners could use acoustic monitoring with Nighthawk for a number of applications, including: monitoring migration passage at wind farms; studying airspace usage during migratory flights; monitoring the changing migrations of species susceptible to climate change; and revealing previously unknown migration routes and behaviours. Overall, this work will empower diverse stakeholders to efficiently monitor migrating birds across the Western Hemisphere and collect data in aid of science and conservation.