bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychographic segmentation of alcohol quitters in behaviour change maintenance mode: utilisation of the activity interest opinion (AIO) framework
Authors: Ameyibor Leeford Edem Kojo , Saini Yvonne Kabeya 
Published: October 2024

Purpose
This study aims to cluster psychographic activities, interests and opinions of alcohol quitters in behaviour change maintenance mode to form segmentation bases for social policy and alcohol policy formulation that sustain the behaviour change.

Design/methodology/approach
A two-step cluster analysis was used to segment a cross-sectional sample of n = 501 former alcohol consumers based on their activity interest and opinion (AIO) framework through a multiple-response survey design.

Findings
Five clusters were found across five AIO themes of “people socialised with”, “relationship interest”, “ingredients of a good relationship”, “party activities” and “outing dressing”. The clusters were honesty-based relationship seekers, spiritual- and intellectual-based relationship seekers, attention seekers in a healthy relationship, self-conscious seeking a healthy relationship, and sincere, spiritual and intellectual-based relationship seekers.

Practical implications
The findings present an opportunity for social policy design that encourages alcohol-free social space creation, strong family ties, community and spiritual growth and incentives for long-term relationships as means of sustaining alcohol quitters’ behaviour. Equally, alcohol policies that match the themes of the clusters can be designed to aid sobriety sustenance.

Originality/value
This study advances knowledge of behaviour change maintenance and provides lifestyle segments of alcohol quitters as bases for further social and alcohol policy design to sustain gains in behaviour change.
Evaluation of static and rolling friction coefficients of granulated sugar using the discrete element method in a rolling mode rotating drum
Authors: Marcelino dos Santos Lorena , Fedalto Sartori Lucas , de Lima Luz Junior Luiz Fernando , Pedersen Voll Fernando Augusto 
Published: October 2024

PurposeThis research investigates the behavior of granulated sugar particles of different sizes in a rotating drum at varying speeds, using the discrete element method (DEM) as a mathematical modeling approach.Design/methodology/approachThe study conducted a data scan to determine both static and rolling friction coefficients. Based on benchmark studies, the Hertz–Mindlin contact model with rolling history elastic-plastic spring-dashpot (EPSD) and CDT (directional constant torque) models were employed to simulate the behavior of granulated sugar particles in a rotating drum under varying speeds.FindingsIn this research, the static and rolling friction coefficients presented the best values for granulated sugar near 0.60 and 1.5, respectively, applying the CDT model. The method demonstrated great accuracy in replicating experimental data.Originality/valueThis study enables comprehension of the behavior of the particles and particle system in a rotating drum at different speeds. The method may develop models that characterize and predict the main effects of particle systems to reduce project time and expense, especially in the food industry.
Taming a wild new term: exploring the concept of quiet quitting as a coping response
Authors: Armstrong Ryan , Pfandler Csenge 
Published: October 2024

Purpose“Quiet quitting” emerged as a term in the US during the COVID-19 pandemic and has since gained immense popularity worldwide, working its way into common usage. However, disagreement exists over the term’s meaning and utility. Our paper critically considers the value of the construct of quiet quitting, proposing an initial operationalization of its properties.Design/methodology/approachWe develop hypotheses related to the antecedents, characteristics and consequences of quiet quitting through a literature review and subsequent survey. The questionnaire was distributed to working professionals in Europe and assessed through multiple partial least squares analyses.FindingsWe propose quiet quitting as a coping strategy involving a combination of reduced effort, disengagement, disassociation and boundary-setting. 108 responses obtained through a survey of knowledge workers provide some support that these existing concepts indeed form a second-order construct with emergent properties not found when assessed individually. However, we suggest that the utility of quiet quitting as a distinct coping strategy is questionable and that generally, it is more useful to discuss its subcomponents separately.Research limitations/implicationsWhile limited by its cross-sectional nature, this work raises several potentially fruitful future lines of research and offers a first step in evaluating a relatively new term that is of substantial relevance to management scholarship and practice.Originality/valueNew concepts stemming from popular literature can be problematic, grounded in untested folk theory and riddled with ambiguity. At the same time, they can stretch our thinking and drive research in new directions if they can be sufficiently refined. We offer a new conceptualization of quiet quitting but question its usefulness.
Elevating logistics performance: harnessing the power of artificial intelligence in e-commerce
Authors: Malhotra Gunjan , Kharub Manjeet 
Published: October 2024

PurposeArtificial intelligence (AI) usage improves e-commerce logistics efficiency. However, many actors can play significant roles, such as supply chain consistency (SCC), last-mile logistics (LML) performance and collaboration and coordination among logistics firms. This study aims to assess how SCC and LML performance mediate and collaboration and coordination moderate the relationship between AI usage and logistics efficiency.Design/methodology/approachA structured questionnaire was used to collect the data. A total of 245 valid responses were received from Indian e-commerce businesses. The data were then analysed using AMOS v25 and structural equational modelling using SPSS for regression, PROCESS macro for mediation and moderated mediation analysis.FindingsThe findings show that AI usage independently impacts logistics efficiency, with SCC and last-mile delivery performance as mediating variables. Collaboration and coordination among logistic firms are also critical moderators in enhancing AI’s efficacy in logistic operations. The study findings suggest the integration of AI into logistic operations and provide implications to managers on the urgency of fostering a collaborative and synchronised environment to utilise the full potential of AI in e-commerce businesses.Originality/valueThis study not only contributes to the field of logistics theory by presenting empirical data on the various ramifications of AI but also offers practical guidance for logistics firms, particularly those operating in developing economies, on how to strategically employ AI to enhance operational efficiency and attain a competitive advantage in the era of e-commerce logistics in the digital age.
Blockchain for sustainable consumption: an affordance and consumer value-based view
Authors: Hina Maryam , Islam Najmul , Dhir Amandeep 
Published: October 2024

PurposeThere is little empirical evidence on how blockchain affordances may encourage consumers to make sustainable choices. Thus, this paper examines how blockchain affordances affect consumers’ sustainable consumption.Design/methodology/approachWe focus on three blockchain affordances: transparency, traceability, and immutability in this paper. By integrating the affordance lens and theory of consumption values (TCV), we develop a research model wherein we posit that blockchain affordances influence several consumption values, which then affect consumers’ intention to purchase sustainable products. In the study, we designed a scenario and user interface for a novel blockchain-based app for sustainable consumption in the context of the fashion industry and surveyed 295 European consumers to examine the study’s research model. We then analyzed the collected data using the partial least squares technique.FindingsThe results show that blockchain affordances positively affect consumption values, including efficiency, social impression, trust, and sustainability information clarity. In turn, these values influence the consumers’ purchase intention of sustainable products. Additionally, our post hoc analysis shows that these consumption values fully mediate the effect of blockchain affordances on consumers’ purchase intention, where trust and sustainability information clarity is found to have a higher impact.Originality/valueEmpirical research studies focusing on understanding blockchain’s effect on sustainable consumption values have been limited in prior literature. This study, drawing on the affordance lens, proposes distinct blockchain affordances and empirically validates their impact on consumers’ sustainable purchase intention. By integrating TCV, it highlights the mediating mechanism that drives blockchain’s impact on consumers’ purchase intention. We empirically identify the values that mediate the effects of blockchain affordances on consumers’ purchase intention; further, we discuss implications for research and practice based on the study findings.
Orchestration mechanisms in sustainability-oriented innovation: a meta-organization perspective
Authors: Anzivino Alessia , Cantù Chiara Luisa , Sebastiani Roberta 
Published: October 2024

Purpose
This paper aims to investigate how orchestration mechanisms characterizing meta-organizations can support sustainability-oriented innovation (SOI) leveraged by digital transition.

Design/methodology/approach
This study adopted a qualitative approach. The authors collected qualitative data from 41 in-depth interviews with key informants, participatory longitudinal observations and secondary data analysis related to a digital innovation hub (DIH) and its network.

Findings
The findings reveal how meta-organizations, such as DIHs, advance SOI – considering the potentialities of digital technologies – through four orchestration mechanisms: collaboration platform setup, SOI resource arrangement, SOI process enablement and SOI scale-up. Each mechanism is founded on recurrent SOI practices identified as aligning, assembling and progressing, and each is characterized by specific activities that depend on meta-organizations’ evolutionary purposes related to the stages of the creation process. The activation of mechanisms concerns a process outlining three sequential evolutionary trajectories: for assessing and regulating interaction, for promoting and coordinating collective action and for creating a collective identity.

Originality/value
This study contributes to meta-organization and orchestration research oriented toward SOI and leveraged by the digital transition, and considers the distinctive orchestration mechanisms and practices required to support SOI leveraged by the digital transition. Differently from previous research on orchestration and meta-organizations, this study considers the time perspective, and thus, the sequentiality of mechanisms (evolutionary trajectories) to achieve the purposes characterizing the stages of meta-organizations’ creation process.
Virtual or human? The impact of the influencer type on Gen Z consumer outcomes
Authors: Kholkina Valeriia , Chesnokova Elizaveta , Zelenskaya Elena 
Published: October 2024

Purpose
Virtual influencers are a growing trend in digital marketing strategies. This paper aims to compare the impact of virtual and human influencers on Gen Z consumer outcomes (Source Trust, Intention to Follow, Word-of-Mouth and Brand Attachment).

Design/methodology/approach
The authors surveyed young consumers (N = 317) in Europe and the CIS. The data are analyzed through Welch’s t-test and partial least squares structural equation modeling.

Findings
This study demonstrates that for Gen Z, human influencers are still a more effective marketing tool than virtual influencers. The latter arouse greater social-psychological distance that significantly affects consumer outcomes. Consumers with a higher need-for-uniqueness and novelty seeking have a lower social-psychological distance from virtual influencers.

Practical implications
This study offers valuable insights for practitioners in terms of influencer marketing decisions in the digital environment with respect to one of the most solvent target groups – Gen Z.

Originality/value
This research contributes to the empirical investigation of the impact of virtual influencers on the behavioral outcomes of Gen Z by including Novelty Seeking and Brand Attachment in the analysis. The research sample includes CIS and European consumers, which allows for a more comprehensive investigation.
Navigating the nexus of citizenship fatigue and knowledge sharing: the influence of employee vitality and tenure among university lecturers
Authors: Azila-Gbettor Edem M. , Novixoxo Jewel Dela , Honyenuga Ben Q. 
Published: October 2024

Purpose
This study aims to examine the influence of employee vitality and tenure on the nexus between citizenship fatigue and knowledge-sharing behaviour among academic staff in Ghanaian higher education institutions.

Design/methodology/approach
A sample of 876 faculty members from traditional and technical universities was chosen for the study using convenience sampling technique. Data was analysed using PLS-SEM with SmartPLS 4.

Findings
Results reveal that citizenship fatigue negatively influences faculty members’ knowledge-sharing behaviour. In addition, employee vitality and tenure mitigate the negative influence of citizenship fatigue on faculty members’ knowledge-sharing behaviour.

Practical implications
The findings suggest that the management of higher education institutions should focus on creating a workplace culture that cultivates workplace vitality and promotes long tenure to reduce the negative influence of citizenship fatigue on the knowledge-sharing behaviour among faculty members.

Originality/value
This study represents one of the earliest attempts to examine a theoretical framework that connects citizenship fatigue, employee vitality, knowledge-sharing behaviour and employee tenure within the context of higher education.
Identifying NFT consumer segments: a consumption value theory and luxury perspective
Authors: Eastman Jacqueline , Yazdanparast Atefeh , Ketron Seth 
Published: October 2024

PurposeThe present research takes a qualitative approach to examine young adult consumers’ perceptions and intentions toward non-fungible tokens (NFTs). The goal of the study is to identify consumer sub-segments of young adults based on their perceptions of/intentions toward NFTs.Design/methodology/approachThis research utilized qualitative/thematic analysis.FindingsThe results revealed three sub-segments of young adults with different perceptions of NFTs. The largest group, Authenticators, perceive NFTs as luxurious digital possessions that are prestigious, have premium prices and are high quality. They are most likely to be early/late majority, but some are innovators/early adopters. The second-largest group, Pessimists, hold negative views about NFTs, seeing them as fads, silly and/or a waste of time and believing that investing in them is risky. These individuals are most likely to be laggards in terms of adoption. The smallest group, Futurists, hold forward-thinking views about NFTs. They are most likely to see themselves as innovators/early adopters, think of NFTs as the future of asset ownership, investment and digital life, and do not perceive them as overly risky.Originality/valueThe findings add to the scant literature on NFTs in marketing by documenting three potential sub-segments of young adult consumers for NFTs. NFT marketers should take care in effectively marketing NFTs’ value and addressing their risks to consumers as they relate to the identified consumer segments.
Carbon offset payment intentions in aviation industry: Altruism vs. Egoism and airline sustainability
Authors: Deng Pengfei , Zheng Peng , Xie Dan 
Published: October 2024

Purpose
The issue of excessive carbon emissions continues to be a critical global challenge. As a prominent mode of transportation for long-distance travel, aircraft is widely acknowledged as a significant source of these emissions. Carbon offset initiatives function as ecological measures, helping to reduce the negative environmental impact. This study aims to explore how benefit appeals (BA) within the aviation industry impact tourists’ carbon offset payment intentions (COPIt).

Design/methodology/approach
In Studies 1 and 2, scenario-based experiments were conducted to explore how goal framing (GF) and (BA) interact to influence COPIt. Study 2 further investigated the mediating roles of moral responsibility and trust in airlines within this interaction. Study 3 used real-world surveys to examine the moderating influence of moral elevation, thereby supporting the interactive effects and mediation mechanisms identified in the earlier studies.

Findings
Across three studies, the authors consistently identified pivotal factors shaping COPIt in the context of air travel. Study 1 revealed that the combination of BA and GF significantly impacts COPIt, with egoistic appeals linked to loss framing and altruistic appeals connected to gain framing being particularly effective in encouraging COPIt. Study 2 extended these insights by showing that moral responsibility and trust in airlines serve as mediators between BA, GF and COPIt. In Study 3, moral elevation was found to moderate the influence of BA and GF on both moral responsibility and COPIt, deepening the understanding of these dynamics.

Originality/value
This study expands the range of factors affecting COPIt and delves into the underlying mechanisms through which BA and GF shape COPIt. Additionally, it advances current understanding by revealing the intricate processes influenced by moral elevation. The findings not only contribute to the existing knowledge on COPIt determinants but also offer practical guidance for the aviation industry and related sectors in promoting tourists’ participation in carbon offset programs.
Crossed effects of helminth infection and lead exposure on fitness: An experimental study in feral pigeons (Columba livia)
Authors: Jeantet Aurélie , Audebert Fabienne , Agostini Simon , Decencière Beatriz , Lorang Camille , Jamet Laura , Giner Clarisse , Flandi Emma , Nardou Nora , Lemaire Baptiste , Federici Pierre , Rozen‐Rechels David , Gasparini Julien 
Published: October 2024

Abstract

Living organisms are exposed to multiple environmental factors that can affect their fitness. The negative effects of these simultaneous stressors can be additive or can interact in negative synergistic or antagonistic ways to affect the health of exposed individuals. Parasites can accumulate pollutants in their own tissues and have been shown to increase the tolerance of their hosts to different pollutants (antagonistic interaction between parasites and pollutants). Through an experimental approach, we tested the existence of combined antagonistic effects between intestinal parasites and lead exposure on urban feral pigeons (Columba livia) which are known to be exposed to trace metal pollution and harbour a wide variety of internal and external parasites.

We experimentally exposed wild feral pigeons in captivity to two treatments: an anthelmintic treatment to eliminate intestinal nematode parasites; an exposure to lead for a period of 6 months. We tested the effects of these crossed treatments on several components of fitness: immunocompetence, reproduction, and body mass.

Our findings suggest that the overall effects of lead exposure, either alone or in combination with the presence of intestinal parasites (without anthelmintic treatment) were negative, through either additive or synergistic means.

Our results reveal the existence of negative combined effects between pollutant exposure and intestinal parasites, highlighting the importance of accounting for multiple stress factors when studying the effects of exposure to pollutants and/or other environmental stressors on the fitness of organisms.
Shedding light on pollination deficits: Cueing into plant spectral reflectance signatures to monitor pollination delivery across landscapes
Authors: Parry Catherine , Turnbull Colin , Barter Laura M. C. , Gill Richard J. 
Published: October 2024

Abstract

Pollination underlies plant yield, health and reproductive success in agricultural and natural systems worldwide. It is therefore concerning that declining animal pollinator populations compounded by growing demands for food are leading to rising pollination deficits, with globally significant economic and environmental implications.

Despite this urgent issue, accurate and scalable tools to quantify and track pollination across useful spatiotemporal scales are lacking. Here, we propose to shed new light on pollination deficits, looking to remote sensing platforms as a transformative mapping and monitoring tool and a solution for pollinator conservation and crop management.

Providing a synthesis of our current understanding of pollination‐triggered floral senescence and underlying ultrastructural and metabolic changes, we propose how spectral reflectance technologies could be applied to accurately detect pollination events in real‐time and at the landscape scale.

Synthesis and applications: We highlight where research efforts can be targeted to produce scalable methods for identifying field‐relevant bioindicators of pollination. We provide guidance on how spectral imaging accompanied by machine learning and coupled with autonomous operation technologies will enable applications to detect pollination delivery across complex landscapes. Ultimately, such an ecological application will transform our quantitative understanding of pollination services and, by directly linking plant yields and health, will reveal pollination deficits at high resolution to help mitigate risks to food security and ecosystem functioning.
Gastrointestinal fate of proteins from commercial plant–based meat analogs: Silent passage through the stomach, oxidative stress in intestine, and gut dysbiosis in Wistar rats
Authors: Sánchez‐Terrón G. , Martínez R. , Freire M. J. , Molina‐Infante J. , Estévez M. 
Published: October 2024

AbstractPlant‐based meat analogs (PBMAs) are common ultra‐processed foods (UPFs) included in the vegan/vegetarian diets as presumed healthy alternatives to meat and meat products. However, such health claims need to be supported by scientific evidence. To gain further insight into this topic, two commercial UPFs typically sold as meat analogs, namely, seitan (S) and tofu (T), were included in a cereal‐based chow and provided to Wistar rats for 10 weeks. A group of animals had, simultaneously, an isocaloric and isoprotein experimental diet formulated with cooked beef (B). In all cases, experimental chows (∼4 kcal/g feed) had their basal protein concentration increased from 14% to 30% using proteins from S, T, or B. Upon slaughter, in vivo protein digestibility was assessed, and the entire gastrointestinal tract (digests and tissues) was analyzed for markers of oxidative stress and untargeted metabolomics. Metagenomics was also applied to assess the variation of microbiota composition as affected by dietary protein. Diets based on PBMAs showed lower protein digestibility than those containing meat and promoted an intense luminal glycoxidative stress and an inflammatory intestinal response. The fermentation of undigested oxidized proteins from T in the colon of Wistar rats likely led to formation of mutagenic metabolites such as p‐cresol. The presence of these compounds in the animal models raises concerns about the potential effects of full replacement of meat by certain PBMAs in the diet. Therefore, future research might target on translational human studies to shed light on these findings.