bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating a project management methodology to improve project performance
Authors: Rode Anna Le Gerstrøm , Jensby Anne , Svejvig Per 
Published: May 2024

PurposeProject management as a field of practice and research is characterized by impressive amounts of normative literature and extensive collections of best practices promising to improve project performance. On the other hand, research proving the effectiveness and efficiency of the proposed tools is limited. Project management methodology (PMM) evaluation is important but complicated and scarce. This paper evaluates a specific PMM designed to improve project performance.Design/methodology/approachBased on a multiple, embedded and comparative case study the paper evaluates 71 projects within and across 17 organizations.FindingsThe paper identifies conflicting indicators of PMM failure and success in terms of project speed and impact, and the results indicate the complexity, contextuality and challenge inherent in PMM evaluation.Originality/valueContributions include empirical evidence and contextual knowledge on the effectiveness and efficiency of a specific PMM, as well as a new conceptual model and a novel methodological design for PMM evaluation.
Media and social media sentiment and CEO pay cuts
Authors: Cahill Daniel , Liu Zhangxin (Frank) , Santoso Theresa 
Published: May 2024

PurposeThis study investigates the relationship between media and social media sentiment and the likelihood of CEO pay cuts. The purpose is to examine whether and how these pay cuts influence market reactions. The study aims to provide insights into how external sentiment affects corporate decision-making and market perceptions, particularly in the context of CEO compensation.Design/methodology/approachUsing a sample of 6,331 firm-year observations from 2015 to 2021, this paper employs quantitative analysis to assess the association between media and social media sentiment and CEO pay cuts. We utilise company DEF14A SEC filings to identify CEO pay cut dates and capture traditional media and Twitter sentiment 30-days prior to these filing dates.FindingsWe find a negative association between media and social media sentiment and CEO pay cuts, indicating that firms facing more negative sentiment are more likely to engage in pay cuts. We find evidence that CEO pay cuts are negatively correlated with market reactions, suggesting markets generally do not seem to favour decisions to cut CEO pay. This relationship, however, is complex and influenced by multiple factors, including the nature of sentiment and the specific components of CEO compensation.Research limitations/implicationsThe study faces limitations in identifying the varying degrees of pay cuts and their motivations. Additionally, the content of news articles and Twitter posts used to measure sentiment was not specifically identified, which may affect the accuracy of sentiment measurement.Practical implicationsThis research offers valuable insights for managers and corporate decision-makers, highlighting the potential impact of public sentiment on critical executive compensation decisions.Social implicationsThe study underscores the influence of media and social media in shaping public opinion and driving corporate actions, highlighting the growing intersection between social perceptions and corporate governance. This has broader implications for how firms engage with media platforms and manage their public image, particularly in the realm of executive compensation.Originality/valueWe are the first to study the impact of media and social media sentiment on CEO compensation decisions and market reactions. By employing DEF14A filings as event dates for market reaction studies, we offer a novel approach to analysing the impact of executive compensation changes on market behaviour.
Integrated reporting adoption in SMEs: incentives and disincentives
Authors: Nada Omar Hassan Ali , Győri Zsuzsanna 
Published: May 2024

Purpose
This study aims to investigate the drivers and challenges of integrated reporting (IR) adoption in the Hungarian SME context.

Design/methodology/approach
The study uses qualitative methods to conduct an in-depth analysis of small and medium enterprises’ (SMEs) drivers and challenges of IR adoption through semi-structured interviews. Further, the results of the interview are supported by content analysis.

Findings
The research highlighted the drivers for IR adoption, including growing the company’s customer base, attracting new investors, boosting competitiveness and increasing the company’s market value by improving the long-, medium- and short-term value creation. Nonetheless, the organizational transformation required to implement IR, a lack of qualified human resources, weak administrative control and poor documentation all serve as impediments to Hungarian SMEs implementing IR. Consequently, the current IR framework needs further clarification and simplification to be practical for SMEs. Integrated thinking, value creation, materiality and stakeholder engagement are the concepts that have been identified as being unclear or inapplicable for SMEs.

Practical implications
Furthermore, the practical implications for standard-setters, regulators and companies may help in the future in mitigating barriers, pushing companies to learn more about the benefits and risks of adopting IR.

Originality/value
The study is one of the few that examines the drivers and challenges of IR adoption in SMEs and responds to several academic requests for IR research on the reasons why SMEs do not participate in IR adoption. Also, the study compiles and evaluates the previous literature’s drivers and challenges for IR adoption. Furthermore, the practical implications for standard-setters, regulators and companies may help in the future in mitigating barriers, pushing companies to learn more about the benefits and risks of adopting IR.
Analysis of the structure and evolution of sustainability accounting research: a 41-year review
Authors: Owusu Godfred Matthew Yaw , Ofori-Owusu Charles 
Published: May 2024

Purpose
In the accounting field, sustainability accounting (SA) has evolved as a valuable tool that links improvements in environmental, social and governance issues to financial performance. This study aims to examine the structure and evolution of SA research, map the state of knowledge and analyse the literature trends and gaps.

Design/methodology/approach
The study adopts a bibliometric review technique with data sourced from the Scopus database. A total of 7,049 extant literature spanning from 1982 to 2022 was analysed using the VOSviewer software.

Findings
The authors find a significant growth in the number of publications on SA research, primarily driven by collaboration among researchers from Europe and America. The analysis highlights emerging themes, structure and discusses in detail the changing phases of SA research over the past four decades while highlighting key events that have impacted the development of SA research. Furthermore, the dominant theories used by extant studies are discussed and potential avenues for future research are provided. The authors draw the attention of the research community to the dominant authors, the most cited articles, prominent publication outlets and countries advancing research in this field.

Originality/value
This study advances knowledge on SA research by providing a retrospective assessment of the state of knowledge in the field while highlighting avenues for future research.
Spanning care and comfort: examining Pradhan Mantri Jan Arogya Yojana's role in enhancing well-being of individuals in South Gujarat
Authors: Goswami Gopal , Bagdi Himanshu 
Published: May 2024

Purpose
This study aims to delve into the impact of the Pradhan Mantri Jan Arogya Yojana (PMJAY) on the well-being and quality of life of beneficiaries in Surat City of India. Employing correlation and regression analyses, the study uncovers significant correlations between Awareness, Healthcare Utilisation, and Financial Burden Reduction with well-being outcomes.

Design/methodology/approach
The investigation employs a structured questionnaire to gather data from 250 beneficiaries, exploring the relationships between Awareness, Healthcare Utilisation, Financial Burden Reduction, Well-Being and quality of Life. The data was collected using a structured questionnaire using a survey method.

Findings
The results highlighted the crucial role of Awareness in empowering beneficiaries to make informed healthcare decisions, positively influencing their well-being. Furthermore, the study underscores how active engagement with PMJAY's healthcare services enhances well-being. The mitigation of financial burdens emerges as a pivotal factor, signifying the program's efficacy in improving beneficiaries' quality of life.

Originality/value
The comprehensive model presented in this study reveals that PMJAY's multifaceted approach is pivotal in promoting enhanced well-being and quality of life among beneficiaries. These findings affect public health policies seeking to create holistic interventions that holistically address vulnerable populations' healthcare access, financial burdens, and overall well-being.
The worker bee’s dilemma part 2: exit strategy saboteur
Authors: Paul Tyechia Veronica 
Published: May 2024

Research methodology
This descriptive case study is written using factual case information was obtained from an employee of the firm with their consent. All names, including the firm name, have been anonymized.

Case overview/synopsis
After being denied promotion, Vivienne began the first step to her long-term exit strategy by seeking another graduate degree. Her supervisor failed to supply the recommendation he’d promised for her graduate school application. Vivienne felt that his breach of trust was deliberate and now must decide what course of action to take. This case analyzes Vivienne’s organization, needs and ambition using management theories, laws and concepts. It also analyzes the phenomenon of trust, specifically vertical trust between managers and employees, and it leads to an important career crossroads for Vivienne.

Complexity academic level
Undergraduate. Courses: Organizational Behavior, Human Resource Management
How interacting anthropogenic pressures alter the plasticity of breeding time in two common songbirds
Authors: Cuchot Paul , Bonnet Timothée , Dehorter Olivier , Henry Pierre‐Yves , Teplitsky Céline 
Published: May 2024

Abstract

Phenological adjustment is the first line of adaptive response of vertebrates when seasonality is disrupted by climate change. The prevailing response is to reproduce earlier in warmer springs, but habitat changes, such as forest degradation, are expected to affect phenological plasticity, for example, due to loss of reliability of environmental cues used by organisms to time reproduction.

Relying on a two‐decade, country‐level capture‐based monitoring of common songbirds' reproduction, we investigated how habitat anthropization, here characterized by the rural–urban and forest–farmland gradients, affected the average phenology and plasticity to local temperature in two common species, the great tit Parus major and the blue tit Cyanistes caeruleus.

We built a hierarchical model that simultaneously estimated fledging phenology and its response to spring temperatures based on the changes in the proportion of juveniles captured over the breeding season.

Both species fledge earlier in warmer sites (blue tit: 2.94 days/°C, great tit: 3.83 days/°C), in warmer springs (blue tit: 2.49 days/°C, great tit: 2.75 days/°C) and in most urbanized habitats (4 days for blue tit and 2 days for great tit). The slope of the reaction norm of fledging phenology to spring temperature varied across sites in both species, but this variation was explained by habitat anthropization only in the deciduous forest specialist, the blue tit. In this species, the responses to spring temperature were shallower in agricultural landscapes and slightly steeper in more urban areas. Habitat anthropization did not explain variation in the slope of the reaction norm in the habitat‐generalist species (great tit), for which mean fledgling phenology and plasticity were correlated (i.e., steeper response in later sites).

The effects of habitat change on phenological reaction norms provide another way through which combined environmental degradations may threaten populations' persistence, to an extent depending on species and on the changes in their prey phenology and abundance.
The class differentiation of older age: Capitals and lifestyles
Authors: Atkinson Will 
Published: May 2024

AbstractOlder people have been overlooked in recent debates over the relationship between age, class and culture despite their prevalence and the conceptual questions they raise. Seeking to bridge mainstream class analysis with debates in social gerontology, especially via a shared turn to Pierre Bourdieu's relational sociology, this paper draws on survey data from the US to examine not only the class position of older people but their internal social and cultural differentiation. I use geometric data analysis to construct a model of the class system, locate older people within it and then explore differences among older people. I then proceed to compare the cultural symbolisations of social positions among older people to those of the larger sample. The core structures of social and cultural differentiation among older people are roughly homologous with those of the broader sample, but there are also notable differences and even inversions pointing toward the specificity – and autonomy – of ageing as a principle of difference and practice.
Recent developments and challenges in algal protein and peptide extraction strategies, functional and technological properties, bioaccessibility, and commercial applications
Authors: Karabulut Gulsah , Purkiewicz Aleksandra , Goksen Gulden 
Published: May 2024

AbstractThe burgeoning demand for protein, exacerbated by population growth and recent disruptions in the food supply chain, has prompted a rapid exploration of sustainable protein alternatives. Among these alternatives, algae stand out for their environmental benefits, rapid growth, and rich protein content. However, the widespread adoption of algae‐derived proteins faces significant challenges. These include issues related to harvesting, safety, scalability, high cost, standardization, commercialization, and regulatory hurdles. Particularly daunting is the efficient extraction of algal proteins, as their resilient cell walls contain approximately 70% of the protein content, with conventional methods accessing only a fraction of this. Overcoming this challenge necessitates the development of cost‐effective, scalable, and environmentally friendly cell disruption techniques capable of breaking down these rigid cell walls, often laden with viscous polysaccharides. Various approaches, including physical, chemical, and enzymatic methods, offer potential solutions, albeit with varying efficacy depending on the specific algal strain and energy transfer efficiency. Moreover, there remains a pressing need for further research to elucidate the functional, technological, and bioaccessible properties of algal proteins and peptides, along with exploring their diverse commercial applications. Despite these obstacles, algae hold considerable promise as a sustainable protein source, offering a pathway to meet the escalating nutritional demands of a growing global population. This review highlights the nutritional, technological, and functional aspects of algal proteins and peptides while underscoring the challenges hindering their widespread adoption. It emphasizes the critical importance of establishing a sustainable trajectory for food production, with algae playing a pivotal role in this endeavor.
Pomegranate molasses authentication using hyperspectral imaging system coupled with automatic clustering algorithm
Authors: Izadi Zahra , Kiani Sajad 
Published: May 2024

AbstractPomegranate molasses is made from concentrated pomegranate juice with nothing added. Due to its nutritional value, limitation in production, and high production cost, this product may be adulterated by date syrup. This study was done to differentiate various types of pomegranate molasses and investigate the possibility of nonauthenticity detection in pomegranate molasses samples using the hyperspectral imaging (HSI) technique compared with physicochemical measurement analysis. The physicochemical properties (brix index, sucrose, acidity, ash content, pH, and formalin index) of 24 samples were measured as the reference analysis method, and it was found that the formalin index was a good factor for pomegranate molasses authenticity evaluation. Additionally, an HSI system (400–1000 nm) was used as a nondestructive and rapid screening method to capture spectral data of the samples. The evolutionary wavelength selection algorithm was applied to select effective wavelengths in sample clustering based on the obtained Davies–Bouldin index. Next, principal component analysis was used to visually interpret the spectral data of the sample when using the selected wavelengths and the whole spectra of the samples. Finally, an automatic clustering algorithm by the artificial bee colony as an unsupervised method was developed for the clustering of the authentic and nonauthentic samples. The method did not need descriptively labeled samples and obtained agreed satisfactorily with the degree of nonauthenticity in the samples. This study showed that the developed HSI technique coupled with an automatic clustering algorithm could detect date syrup nonauthenticity in pomegranate samples from the level of 5% adulteration.
Reasons for alcohol use from 1976 to 2020 in the United States among individuals aged 18 to 30: Historical changes and mediation of cohort effects in binge drinking
Authors: Keyes Katherine M. , Rutherford Caroline , Patrick Megan E. , Platt Jonathan M. , Kloska Deborah D. , Jager Justin 
Published: May 2024

AbstractBackgroundAlcohol use is declining among US adolescents/early young adults and increasing among other adults, with increases in adult binge drinking more concentrated in females than males. Reasons for drinking are historically patterned by age and sex, and if historically variant, could suggest that changes over time could in part explain age‐ and sex‐differential cohort effects.MethodsWe analyzed longitudinal Monitoring the Future data for individuals born from 1958 to 1990. These individuals were aged 29/30 from 1987 to 2020, and first surveyed at age 18 from 1976 to 2008 (N = 14,190). Five reasons for drinking were analyzed (social, enhancement, avoid problems, relax, boredom). Drinking for social reasons and to relax were most prevalent. Total effects of birth cohort predicting past‐2‐week binge drinking were estimated with polynomial regression models by age; indirect effects through mediators were estimated.ResultsDrinking reasons exhibited dynamic time trends across birth cohort and sex. Notable increases were observed in social reasons: among women aged 29/30, social reasons increased from 53% to 87% from 1987 to 2020. Social reasons to drink had prominent positive indirect effects at adult ages (age 23/24 and above among men; age 19 and above among women), indicating that binge drinking would have increased less were it not for the increase in social reasons for drinking. Social reasons also mediated adult male/female differences, indicating that part of the reason sex differences are diminishing is the more rapid increases in social reasons for drinking among women. Indirect effects were also observed for drinking to relax and for boredom, and limited indirect effects were observed for enhancement and to avoid problems.ConclusionChanging endorsement of drinking reasons, especially social reasons, among US adult drinkers mediate cohort effects in binge drinking in the US adult population and explain in part why binge drinking is converging by sex.
Enhancing computational thinking and spatial reasoning skills in gamification programming learning: A comparative study of tangible, block and paper‐and‐pencil tools
Authors: Gong Xin , Xu Weiqi , Yu Shufan , Ma Jingjing , Qiao Ailing 
Published: May 2024

AbstractTangible programming tools have become a mainstream teaching aid in gamification programming learning (GPL) due to their interactivity and ability to enhance novice learners' computational thinking and spatial reasoning skills. However, comparing the relative efficacy of different programming tools that simultaneously support these skills was not adequately explored. This study designed and evaluated three programming tools: the tangible programming tool (TPG), which uses real touchable objects; the block programming tool (BPG), which employs virtual programming blocks and 3D game scenarios; and the paper‐and‐pencil programming tool (PPG), which uses paper and pen to draw. The study involved 112 seventh‐grade students from three natural classes: Class A (TPG, n1=37), Class B (BPG, n2=38), and Class C (PPG, n3=37). These students completed four gamification programming tasks and CT skills, spatial reasoning skills, enjoyment, cognitive load and GPL task list measurements. The results indicated that the tangible programming tool led to lower cognitive load, significant improvement in spatial reasoning skills and better abstraction and problem decomposition skills. The block programming tool provided a more enjoyable experience and facilitated students' algorithm design and efficiency. The paper‐and‐pencil programming tool was found to be less effective in improving spatial reasoning skills. This study's findings can help programming educators cultivate students' thinking skills and improve their learning experience by effectively selecting the most appropriate programming tools.
Nonparametric CD‐CAT for multiple‐choice items: Item selection method and Q‐optimality
Authors: Wang Yu , Chiu Chia‐Yi , Köhn Hans Friedrich 
Published: May 2024

AbstractComputerized adaptive testing for cognitive diagnosis (CD‐CAT) achieves remarkable estimation efficiency and accuracy by adaptively selecting and then administering items tailored to each examinee. The process of item selection stands as a pivotal component of a CD‐CAT algorithm, with various methods having been developed for binary responses. However, multiple‐choice (MC) items, an important item type that allows for the extraction of richer diagnostic information from incorrect answers, have been underemphasized. Currently, the Jensen–Shannon divergence (JSD) index introduced by Yigit et al. (Applied Psychological Measurement, 2019, 43, 388) is the only item selection method exclusively designed for MC items. However, the JSD index requires a large sample to calibrate item parameters, which may be infeasible when there is only a small or no calibration sample. To bridge this gap, the study first proposes a nonparametric item selection method for MC items (MC‐NPS) by implementing novel discrimination power that measures an item's ability to effectively distinguish among different attribute profiles. A Q‐optimal procedure for MC items is also developed to improve the classification during the initial phase of a CD‐CAT algorithm. The effectiveness and efficiency of the two proposed algorithms were confirmed by simulation studies.