bluuebunny/crossref_metadata_2025_split huggingface dataset:
Business model innovations amidst adverse economic conditions: the role of CEO values
Authors: Artamoshina Polina , Shirokova Galina , Bodolica Virginia 
Published: July 2024

Purpose
The current business environment is characterized by high levels of uncertainty that affect the global economic system and have the greatest impact on small and medium-sized enterprises (SMEs). With an elevated degree of perceived uncertainty, Chief executive officers' (CEOs) of SMEs find themselves in a situation where the old approaches to decision-making are irrelevant and the time to create new ones is limited. The purpose of this study is to examine whether appealing to personal values helps CEOs cope with a high level of perceived uncertainty and make decisions about the further development of the firm by undertaking business model innovations (BMI).

Design/methodology/approach
This study follows a multiple case study research design drawing on data collected from 10 Russian SMEs.

Findings
The authors show that CEOs’ communion values lead to innovations in the revenue model and value architecture dimensions of the business model. CEOs who are inclined to agentic values introduce innovations in the revenue model and value offering dimensions. Those executives who balance between the two types of values tend to also balance between different types of innovations in the elements of the business model.

Originality/value
The results indicate that personal values of CEOs play an important role in managerial processes and the strategic choice of a BMI type. Moreover, personal temporal focus orientation serves as a translation mechanism in the relationship between CEO values and BMI in SME settings.
Collaborative vehicle routing for equitable and effective food allocation in nonprofit settings
Authors: Bonku Rabiatu , Alkaabneh Faisal , Davis Lauren Berrings 
Published: July 2024

Purpose
Inspired by a food bank distribution operation, this paper aims to study synchronized vehicle routing for equitable and effective food allocation. The primary goal is to improve operational efficiency while ensuring equitable and effective food distribution among the partner agencies.

Design/methodology/approach
This study introduces a multiobjective Mixed Integer Programming (MIP) model aimed at addressing the complex challenge of effectively distributing food, particularly for food banks serving vulnerable populations in low-income urban and rural areas. The optimization approach described in this paper places a significant emphasis on social and economic considerations by fairly allocating food to food bank partner agencies while minimizing routing distance and waste. To assess the performance of the approach, this paper evaluates three distinct models, focusing on key performance measures such as effectiveness, equity and efficiency. The paper conducts a comprehensive numerical analysis using randomly generated data to gain insights into the trade-offs that arise and provide valuable managerial insights for food bank managers.

Findings
The results of the analysis highlight the models that perform better in terms of equity and effectiveness. Additionally, the results show that restocking the vehicles through the concept of synchronization improves the overall quantity of food allocation to partner agencies, thereby increasing accessibility.

Research limitations/implications
This paper contributes significantly to the literature on optimization approaches in the field of humanitarian logistics.

Practical implications
This study provides food bank managers with three different models, each with a multifaceted nature of trade-offs, to better address the complex challenges of food insecurity.

Social implications
This paper contributes significantly to social responsibility by enhancing the operational efficiency of food banks, ultimately improving their ability to serve communities in need.

Originality/value
To the best of the authors’ knowledge, this paper is the first to propose and analyze this new variant of vehicle routing problems in nonprofit settings.
Influencer storefronts: impact of social media advertising disclosures on purchases
Authors: Al-Hasan Abrar 
Published: July 2024

Purpose
The purpose of this study is to address the surging reliance on influencer marketing in evolving business models, focusing on a novel approach – the influencer e-commerce storefront. This study investigates various influencer advertising disclosures, social media activities and their impact on consumer engagement and sales within the influencer e-commerce storefront.

Design/methodology/approach
Secondary data was collected on 734 influencers from an e-commerce website based on “influencer” storefronts, and the influencer’s social media activity and content were collected from Instagram. Two-stage seemingly unrelated regression model was used to examine the research model.

Findings
Influencer social media use, encompassing daily posts, story posts and average comments, positively influences consumer engagement and sales on influencer e-commerce storefronts. Notably, the study reveals that different advertising disclosure languages yield varying effects. Unclear disclosures (e.g. branded Highlights) positively impact engagement and sales, while obvious disclosures (e.g. “Sponsored Ad”) negatively affect both.

Originality/value
The study contributes to Persuasion Knowledge Theory, examining influencer e-commerce storefronts and revealing the persuasive impact of undisclosed language in advertising. This study innovatively explores the effects of obvious and undisclosed sponsorship on coping mechanisms, offering insights into consumer reactions. The recommended use of undisclosed language suggests that ambiguity can enhance ad persuasion, guiding practitioners in crafting more effective messages. Moreover, the study extends co-creation theory and service-dominant logic by underscoring the significance of influencers’ social media engagement in co-creating value for consumers. Influencers’ active engagement on social media fosters co-creation, strengthening connections and boosting consumer loyalty.
Service-informed marketing reform
Authors: Grönroos Christian 
Published: July 2024

Purpose
This paper aims to develop an alternative perspective on marketing informed by service scholarship to resolve marketing’s challenges as a discipline and practice.

Design/methodology/approach
This paper is conceptual and builds on the ongoing debate regarding marketing’s challenges and on service research to develop a new alternative marketing perspective and model, which could contribute to reforming marketing.

Findings
An analysis of the current understanding of marketing showed that the discipline’s myopic focus on activities, which disregards what marketing is as a phenomenon, is the primary reason for the prevailing problems and failure to reform marketing. Based on research into service logic (SL), the paper demonstrates that a higher level view of service can be characterized as the provision of help to the users of goods and services to ensure that these goods and services deliver meaningful assistance in their lives and work. This suggests that the ultimate objective for marketing is to make firms meaningful to the users of their goods and services.

Research limitations/implications
To the best of the author’s knowledge, since this paper is the first to conceptually develop a perspective on marketing and a corresponding model informed by service scholarship, more conceptual and empirical research is necessary. Developing the new meaningfulness-based perspective and model for marketing brings a new approach to the process of resolving marketing’s current troubled situation.

Practical implications
The meaningfulness approach to marketing enables customer-centered marketing strategies to be implemented. Such strategies include both demand-stimulating and demand-satisfying programs.

Originality/value
To the best of the author’s knowledge, this paper is the first to examine marketing’s troubled situation from a service research and SL perspective.
Literacy and illiteracy in Morocco and the multifaceted role of public libraries
Authors: Bouaamri Asmaa , Barátné Hajdu Ágnes 
Published: July 2024

Purpose
This paper aims to present Morocco's main situation in terms of literacy and illiteracy rates and how public libraries can assist in the development of literacy and education.

Design/methodology/approach
The research collected data and statistics available on the Ministry of Education's website, as well as a literature review of the existing research in this regard.

Findings
Data shows a lack of support in the field of education and adult literacy and limited access to library services.

Originality/value
The current study is the first and unique one to provide data and analyses on the literacy situation in Morocco.
Extreme roughness reduction and ultrafine quality of innovative dual function material extrusion 3D printer
Authors: Rashyid Muhammad Ibnu , Jaya Mahendra , Muflikhun Muhammad Akhsin 
Published: July 2024

Purpose
This paper aims to use hybrid manufacturing (HM) to overcome several drawbacks of material extrusion three-dimensional (3D) printers, such as low dimension ranging from 0.2 to 0.5 µm, resulting in a noticeable staircase effect and elevated surface roughness.

Design/methodology/approach
Subtractive manufacturing (SM) through computer numerical control milling is renowned for its precision and superior surface finish. This study integrates additive manufacturing (AM) and SM into a single material extrusion 3D printer platform, creating a HM system. Two sets of specimens, one exclusively printed and the other subjected to both printing and milling, were assessed for dimension accuracy and surface roughness.

Findings
The outcomes were promising, with postmilling accuracy reaching 99.94%. Significant reductions in surface roughness were observed at 90° (93.4% decrease from 15.598 to 1.030 µm), 45° (89% decrease from 26.727 to 2.946 µm) and the face plane (71% decrease from 12.176 to 3.535 µm).

Practical implications
The 3D printer was custom-built based on material extrusion and modified with an additional milling tool on the same gantry. An economic evaluation based on cost-manufacturing demonstrated that constructing this dual-function 3D printer costs less than US$560 in materials, offering valuable insights for researchers looking to replicate a similar machine.

Originality/value
The modified general 3D printer platform offered an easy way to postprocessing without removing the workpiece from the bed. This mechanism can reduce the downtime of changing the machine. The proven increased dimension accuracy and reduced surface roughness value increase the value of 3D-printed specimens.
Uncovering corporate greenwashing: a predictive model based on Chinese heavy-pollution industries
Authors: Li Qiang , He Zichun , Li Huaxia 
Published: July 2024

Purpose
As the global emphasis on environmental consciousness intensifies, many corporations claim to be environmentally responsible. However, some merely partake in “greenwashing” – a facade of eco-responsibility. Such deceptive behavior is especially prevalent in Chinese heavy-pollution industries. To counter these deceptive practices, this study aims to use machine learning (ML) techniques to develop predictive models against corporate greenwashing, thus facilitating the sustainable development of corporations.

Design/methodology/approach
This study develops effective predictive models for greenwashing by integrating multifaceted data sets, which include corporate external, organizational and managerial characteristics, and using a range of ML algorithms, namely, linear regression, random forest, K-nearest neighbors, support vector machines and artificial neural network.

Findings
The proposed predictive models register an improvement of over 20% in prediction accuracy compared to the benchmark value, furnishing stakeholders with a robust tool to challenge corporate greenwashing behaviors. Further analysis of feature importance, industry-specific predictions and real-world validation enhances the model’s interpretability and its practical applications across different domains.

Practical implications
This research introduces an innovative ML-based model designed to predict greenwashing activities within Chinese heavy-pollution sectors. It holds potential for application in other emerging economies, serving as a practical tool for both academics and practitioners.

Social implications
The findings offer insights for crafting informed, data-driven policies to curb greenwashing and promote corporate responsibility, transparency and sustainable development.

Originality/value
While prior research mainly concentrated on the factors influencing greenwashing behavior, this study takes a proactive approach. It aims to forecast the extent of corporate greenwashing by using a range of multi-dimensional variables, thus providing enhanced value to stakeholders. To the best of the authors’ knowledge, this is the first study introducing ML-based models designed to predict a company’s level of greenwashing.
The evolution of sensitive periods beyond early ontogeny: Bridging theory and data
Authors: Walasek Nicole , Panchanathan Karthik , Frankenhuis Willem E. 
Published: July 2024

Abstract

Sensitive periods, in which experiences have a large impact on phenotypic development, are most common early in ontogeny. Yet, they may also occur at later ontogenetic stages, such as adolescence. At present, however, we know little about why natural selection favours sensitive periods for some traits early in ontogeny and for others later in ontogeny. This article synthesizes recent mathematical models and empirical studies that explore sensitive periods beyond early ontogeny.

Across mathematical models, we observe two general patterns. First, sensitive periods emerge beyond early ontogeny when an organism's uncertainty about the environment‐phenotype fit increases at later developmental stages. Second, sensitive periods emerge beyond early ontogeny when cues at later stages reduce this uncertainty more than earlier cues do.

In the empirical literature, we observe that traits showing sensitive periods beyond early ontogeny tend to be social traits, particularly among mammals. Connecting theory to data, we hypothesize that mammals have evolved to expect reliable information from peers in adolescence to reduce uncertainty about the current and future social environment (e.g. social dominance, mate value).

Finally, we highlight current gaps in our understanding and suggest future directions for strengthening bridges between empirical and theoretical studies of sensitive periods. Ultimately, we hope our synthesis will contribute towards an integrative science of sensitive periods across the biological and the social sciences.

Read the free Plain Language Summary for this article on the Journal blog.
Reconciling 22,000 years of landscape openness in a renowned wilderness
Authors: Fletcher Michael‐Shawn , Romano Anthony , Lisé‐Pronovost Agathe , Mariani Michela , Henriquez William , Gadd Patricia , Heijnis Hendrik , Hodgson Dominic , Blaauw Maarten , Sculthorpe Andry 
Published: July 2024

AbstractHere, we explore the profound impact of the Tasmanian Aboriginal (Palawa) people on Tasmanian landscapes by examining a 22,000‐year record of landscape change from Lake Selina in western Tasmania, Australia. We analysed a sediment core for palaeoecological proxies, namely, pollen (vegetation), charcoal (fire), and geochemical data (landscape weathering). This study reveals that the contemporary landscape is a product of Palawa people’s intentional and strategic fire management practices characterised by fire‐dependent buttongrass moorland and the absence of climax rainforest. Specifically, our data show that rainforest failed to re‐establish a dominance at Lake Selina following the end of the Last Glacial Maximum, as temperature and moisture increased as a result of Palawa cultural fire for at least 18,000 years. This finding challenges the long‐held notion that Tasmania’s wilderness is a product of the absence of human activity. Rather, archaeological sites across western and central Tasmania demonstrate long term presence, with some of the highest artefact and faunal bone densities in the world. The study contributes to the recognition of Tasmania’s west as a cultural landscape shaped by generations of Aboriginal care for Country and fire practices.
Regulatory decentralization and food safety: evidence from China
Authors: Lin Wen , Liang Jiangyuan 
Published: July 2024

AbstractIt is not clear, a priori, whether a centralized or decentralized institutional arrangement is better at providing public goods. This study investigates how decentralization of regulatory authority affects public good provision, focusing on food safety. Using a natural experiment that transfers food safety regulatory authority over the food processing and manufacturing sector from provincial to city‐level governments, we find a 51% decrease in the average number of food safety incidents within cities that experienced the decentralization reform. Decentralization reduces food safety incidents by rectifying information asymmetry in food safety regulations and by increasing local food safety laws and regulations. Additional analyses show that decentralization primarily improves the food safety of larger and more experienced firms, and it has not harmed the total revenue of large‐scale food processing and manufacturing firms. Our study demonstrates the importance of information available to regulatory authorities in food safety regulation and highlights the role of local information in the decentralized provision of public goods.
Mortality following admission to the paediatric intensive care unit: A Swedish longitudinal cohort study
Authors: Daham Shanay , Larsson Emma , Eksborg Staffan , Hamrin Tova Hannegård 
Published: July 2024

AbstractAimThis study aimed to compare outcomes post‐admission to a Swedish paediatric intensive care unit (PICU) in children with complex chronic conditions (CCC) and without CCC.MethodsIn this observational registry‐based study, consecutive admissions to the Astrid Lindgren Children's Hospital PICU from 1 January 2008 to 31 December 2016 were analysed. Data on demographics, predicted death rates (PDR), admission diagnoses and causes of death were collected. Mortality was recorded up to 15 years after admission and compared between groups.ResultsPatients with CCC constituted 64.6% (n = 3026) of PICU admissions and 83.5% (n = 111) of PICU deaths. The crude mortality rate in PICU was 2.84% overall. CCC‐patients were 2.83 times more likely to die in PICU compared to non‐CCC (OR 2.83; 95% CI: 1.78–4.49). Mortality increased in the CCC‐cohort up to 5 years after PICU discharge, while non‐CCC patients generally survived if they survived in PICU. Of the patients who died in PICU, the median PDR was 22.9% for CCC‐patients and 66.5% in the non‐CCC cohort.ConclusionChildren with CCC accounted for most admissions and deaths in PICU. Despite lower severity of illness scores upon admission, CCC patients were nearly three times more likely to die in PICU compared to non‐CCC patients.
Should high‐dose N‐acetylcysteine be given in cases of massive paracetamol overdoses: A narrative review
Authors: Erichsen Philip Ahle , Dalhoff Kim , Andersen Michael Asger 
Published: July 2024

AbstractN‐acetylcysteine (NAC) is regarded as an effective treatment of paracetamol overdoses. However, in cases of “massive” paracetamol overdoses, recent studies indicate that patients may not be sufficiently treated with the standard dose of NAC (300 mg/kg over 20–21 h). The subject is further complicated because “massive overdoses” and “high‐risk” are defined differently; some studies use the ingested amount (e.g., >40 g), and some studies use blood concentrations of paracetamol and transaminases. This narrative review investigates whether high‐dose NAC significantly decreases the risk of hepatotoxicity in patients with massive paracetamol overdoses. Three observational studies were analysed; one study with 373 patients found no significant difference (odds ratio [OR]: 1.27, 95% confidence interval [CI]: 0.49–3.29). One study with 79 patients found a significant difference (OR: 0.27, 95% CI: 0.08–0.94). The third study with 89 patients found a significant difference in hepatoxicity between the groups (p = 0.043). There are no solid evidence to support that treatment with high‐dose NAC significantly reduces the rate of hepatotoxicity in patients presenting with massive paracetamol overdoses. Differences in inclusion criteria in the included studies make the studies incomparable. This paper shows that standardized inclusion is needed to determine whether a high‐dose NAC regimen should be included in clinical practice.
How rising housing prices affect labor costs in China: Heterogeneity and lagging
Authors: Yuan Pengfei , Cao Yunhui 
Published: July 2024

AbstractThe impact of house prices rising on urban labor costs has typical heterogeneity and lag effects, but there is little literature on it. Based on the panel data of 283 prefecture level cities from 2001 to 2017, we constructed panel model considering lag effect and threshold effect. The results show that lag one period of housing price has significant positive impact on urban labor costs, with the increase of housing prices, the effect of pushing up the current labor costs is gradually increasing. So, this impact has obvious lag effect and threshold effect. Through grouped regression to test heterogeneity effect, at the regional level, the heterogeneity of the impact is more significant. The more developed the economy is, the greater the pushing effect of house prices on labor costs.
Genetics of 67 patients of suspected primary ciliary dyskinesia from India
Authors: Jat Kana Ram , Faruq Mohammed , Jindal Shishir , Bari Shreya , Soni Akshita , Sharma Pooja , Mathews Susi , Shamim Uzma , Ahuja Vanshika , Uppilli Bharathram , Yadav Subhash C. , Lodha Rakesh , Arava Sudheer K. , Kabra Sushil K. 
Published: July 2024

AbstractData are limited on the genetic profile of primary ciliary dyskinesia (PCD) from developing countries. Here, we report one of the first study on genetic profile of patients with suspected PCD from India. In this prospective cross‐sectional study, we enrolled 162 children with suspected PCD. We recorded clinical features, relevant laboratory tests for PCD and performed whole exome sequencing (WES). We are reporting 67 patients here who had positive variant/s on WES. We had 117 variants in 40 genes among 67 patients. Among the 108 unique variants, 33 were categorized as pathogenic or likely pathogenic (P/LP). We had nine novel variants in out cohort. The 29 definite PCD cases, diagnosed by composite reference standards, had variants in 16 genes namely LRRC6/DNAAF11 (5), DNAH5 (3), CCDC39 (3), HYDIN (3), DNAH11 (2), CCDC40 (2), CCDC65 (2) and one each DNAAF3, DNAAF2, CFAP300, RPGR, CCDC103, CCDC114, SPAG1, DNAI1, and DNAH14. To conclude, we identified 108 unique variants in 40 genes among 67 patients. The common genes involved in definite cases of PCD in Indian patients were LRRC6, DNAH5, CCDC39, and HYDIN. Our findings suggest a need to develop a separate genetic panel for PCD in the Indian population.