bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategic digitization for sustainable growth in emerging markets: empowering manufacturing MSMEs for a greener future
Authors: Kavre Mahesh S. , Sunnapwar Vivek K. , B. Gardas Bhaskar 
Published: January 2025

Purpose
This study aims to develop effective digitization strategies that can assist in enhancing the adoption of digital technologies among manufacturing micro, small and medium enterprises of an emerging economy.

Design/methodology/approach
Initially, through a literature survey and by using the Delphi approach that comprises continuous inputs from the team of experts, this study devised 10 key digitization strategies, which were further analysed using a hybrid multi-criteria decision-making approach. This approach helped to develop a hierarchical structure representing mutual interrelation among identified strategies and the cause-effect relation. Also, the strength of interdependence among identified strategies was explored.

Findings
Results of the study show that digitization strategies, namely, “development of strategic roadmap”, “effective change management”, “training and education” and “‘participation in knowledge sharing platforms” are the most significant ones.

Practical implications
The outcomes of the study will help decision makers and policymakers of manufacturing micro, small and medium enterprises (MSMEs) in devising effective policies and strategies to enhance digital technology adoption within the firm.

Originality/value
Notably, this research is one of the preliminary investigations to explore the digitization strategies for the manufacturing sector of an emerging economy.
Bytes, barriers, and logics: the vicious circle of digital welfare in fragmented institutional contexts
Authors: Busacca Maurizio 
Published: January 2025

PurposeThis study examines the digitalisation of active labour market policies in Italy’s Veneto region, exploring how organisations navigate institutional pressures for digital adoption in a fragmented welfare system.Design/methodology/approachA multi-site ethnographic approach was employed, involving 400 h of observation and 96 semi-structured interviews across public employment services, municipal social services, social enterprises, and for-profit organisations.FindingsOrganisations exhibit varied responses to digitalisation pressures based on their institutional logics. Public employment services emerge as aligned organisations, integrating market and social welfare logics. Social enterprises represent contested organisations, grappling with conflicting demands. For-profit enterprises align with the dominant organisation type, prioritising market logic. Municipal social services exemplify estranged organisations, resisting market-driven digitalisation.Research limitations/implicationsThe study’s focus on the Veneto region may limit generalisability to other contexts. Future research could explore comparative studies across different welfare state regimes.Practical implicationsFindings underscore the need for a coordinated approach to welfare state digitalisation in fragmented institutional contexts, considering varied organisational responses and potential consequences for service quality and accessibility.Originality/valueThis study contributes to the literature on institutional logics by demonstrating how fragmented institutional fields lead to heterogeneous organisational responses to digitalisation pressures. It extends understanding of the challenges in implementing digital technologies in welfare contexts, highlighting the complex interplay between institutional logics, organisational types, and technological change.
Navigating green transport sustainability model (GTSM) under socio-economic and environmental goals for road-mapping sustainability and mitigating carbon footprints
Authors: Kottala Sri Yogi , Shankar Ch , Sahu Atul Kumar 
Published: January 2025

PurposeThis study aims to present an integrated green transport sustainability model (GTSM) to comprehensively understand and explain the multifaceted dynamics of green transport initiatives. The purpose of the study is to evaluate gaps in understanding the interactions between socio-economic and environmental goals in green transport systems using structural equation modelling (SEM) to help in drafting sustainable transportation policy for larger acceptance and true implementation by the stakeholders. The study examines different constructs that collectively influence green transport policy effectiveness (GTPE). Ultimately, the study aims to provide a robust framework for improving the effectiveness of green transport policies and regulations.Design/methodology/approachGrounded in empirical evidence, the study utilizes SEM to demonstrate the interplay between policymaking, socio-economic factors, technological consideration and environmental outcomes in green transport. The research framework is developed based on the comprehensive review of the literatures to embrace sustainability in transportation considering stakeholders perceptions. The study navigated a GTSM under socio-economic and environmental goals for road-mapping sustainability and larger acceptance of green transportation.FindingsIt is found that technological advancements in transportation are the most significant determinants of GTPE. This implies the need to develop advancements in technologies to embrace the larger acceptance of green transport. Promotion of environmentally sustainable transportation practices, socio-economic factors and use of eco-friendly transportation modes are also found as significant predictors of GTPE, which suggested that the policies aimed at up-gradation of socio-economic standards and the use of environment friendly modes of transport can help in promoting the active involvement of stakeholders to use green transportation.Originality/valueThe study originally investigated critical constructs to assist in preparing sustainable transportation policy for larger acceptance and true implementation by the stakeholders. The study reciprocated its originality by presenting an integrated model related with green transport sustainability dimensions based on theoretical constructs to examine the interplay between policy effectiveness, technological advancements, socio-economic factors and environmental outcomes. The study addressed the key pillars of green transportation and originally highlighted the importance of socio-economic factors and technological advancements in advancing green transport sustainability. It is recommended that the policymaker should make investments in green transport infrastructure and should design a policy for integration of green transportation with a focus on the engagement of all stakeholders for practical implementations.
Economic and financial crimes: evidence from the literature in emerging markets
Authors: Dote-Pardo Jairo Stefano , Severino-González Pedro 
Published: January 2025

Purpose
This study aims to characterize and analyze the literature on economic and financial crimes (EFCs) in the context of emerging markets, as published in Scopus.

Design/methodology/approach
A bibliometric analysis was conducted on 33 articles sourced from Scopus, focusing on the intersection of keywords related to financial crime or economic crime with those related to emerging markets, emerging countries, emerging economies, developing markets, developing countries or developing economies. The data were systematically analyzed using Excel and Bibliometrix to identify trends, patterns and gaps in the literature.

Findings
Research in this area has seen significant growth, with the period from 2016 to 2023 accounting for 57.6% of total scientific productivity. This period also represents 68.1% of authors, 56.7% of journals, 73.6% of institutions and 45.7% of citations. Key research themes identified include: the practice of EFCs in developing countries; the impact of globalization on EFCs in these regions; and the intersection of artificial intelligence, sustainable development goals and EFCs. Furthermore, the authors suggest exploring under-researched crimes, such as kickbacks, extortion, embezzlement, bid rigging and insider trading.

Research limitations/implications
This study primarily focuses on EFCs in emerging markets. Future research should examine developed markets to contrast findings and enrich the overall understanding of these phenomena.

Originality/value
Despite the critical nature of EFCs in emerging markets, there has been no comprehensive study that elucidates the significant aspects of the existing literature.
Does platform leadership foster subordinates’ innovative behavior? A multilevel moderated mediation analysis
Authors: Dong Yihong , Li Yingwu 
Published: January 2025

PurposeDrawing on social information processing theory, this study investigates how platform leadership influences employees’ innovative behavior. Specifically, we propose a theoretical model that incorporates creative self-efficacy as a mediator and organizational identification as a moderator.Design/methodology/approachMultisource data were collected in three waves from 304 employees and their 65 leaders in China.FindingsHierarchical linear modeling (HLM) results reveal: (1) a positive association between platform leadership and subordinates’ innovative behavior; (2) creative self-efficacy as a mediator in the relationship between platform leadership and subordinates’ innovative behavior and (3) organizational identification as a moderator in the indirect relationship between platform leadership and subordinates’ innovative behavior through creative self-efficacy, with the indirect effect being stronger when organizational identification is high than when it is low.Originality/valueFrom a cross-level perspective, our findings revealed the underlying mechanisms and boundary conditions under which platform leadership influences followers’ innovative behavior.
Competition for pollen deposition space on pollinators generates last‐male advantage
Authors: Santana Pamela C. , Mulvaney Jake , Santana Erika M. , Moir Monika , Anderson Bruce 
Published: January 2025

Abstract

Many plants have precise pollen placement strategies, ensuring that large amounts of pollen are deposited on small and discrete areas of pollinators' bodies. This may lead to male–male competition if pre‐existing pollen (1) is smothered or displaced by pollen from subsequent male flowers or (2) prevents subsequent pollen from attaching to pollinators.

We investigated these alternative hypotheses using caged sunbirds (Cinnyris chalybeus) and sunbird‐pollinated flowers (Tritoniopsis antholyza). We labelled pollen from two different male‐phase flowers with quantum dots, enabling us to distinguish their pollen grains. We offered these two male‐phase flowers in succession to sunbirds before they were allowed to visit a female‐phase flower. In a separate trial, we offered sunbirds a quantum‐dot‐labelled male‐phase flower followed by a flower without reproductive structures. The last trial established whether pollen loss over time (time effect) influenced our results, such as pollen falling off or being groomed from the pollinator.

We found that pollen from the second male‐phase flower was better represented on the stigmas of the subsequently visited female‐phase flowers. This advantage was not attributable to a time effect (i.e. less time for the last male's pollen to fall off the pollinator). Instead, our results suggest that pollen from earlier‐visited flowers is smothered or displaced by subsequently visited flowers. Because the last‐male visited may have a reproductive advantage (similar to last‐male sperm precedence in animals), plants are likely to evolve strategies to exploit or mitigate this effect.

Synthesis: Our study demonstrates that pollen grains compete for space on pollinators' bodies. By uncovering how interference competition affects male reproductive success, our findings underscore the importance of pollen‐related traits in sexual selection and open new avenues for investigating floral evolution.

Read the free Plain Language Summary for this article on the Journal blog.
Patterns of oyster recruitment and habitat provision across tidal elevation gradients are dependent on predator mitigation methods
Authors: Esquivel‐Muelbert Juan , Lanham Brendan S. , Didderen Karin , Van Der Heide Tjisse , Bishop Melanie J. 
Published: January 2025

Abstract

For restoration projects conducted in environments with strong predation, effective predator mitigation can be key to the successful recruitment of habitat‐forming species, and the development of associated ecological communities. Predator mitigation may involve exclusion through caging, or the provision of protective spaces through complex habitat mimics. The relative efficacy of the two approaches may vary across environmental gradients, according to predation and environmental stress.

To inform the most effective predator mitigation methods for oyster reef restoration, we compared oyster recruitment and associated community development between uncaged concrete blocks, caged concrete blocks and biodegradable complex habitat mimics (BESE), across three tidal elevations and three sites in eastern Australia.

After 1 year, oyster and associated invertebrate recruitment to uncaged concrete was low at all sites and tidal elevations. Whereas BESE supported greater invertebrate abundance and richness than caged concrete blocks at all elevations, the relative performance of the two predator mitigation methods in facilitating oyster recruitment was spatially variable. In the subtidal, BESE were less effective at excluding small‐bodied mesopredatory fishes than caged concrete units and supported less oyster recruitment. In the intertidal, where exposure to mesopredatory fish is less due to emersion at low tide, there was greater recruitment to BESE than to caged concrete.

Synthesis and applications. The effectiveness of predator mitigation methods used in oyster reef restoration can vary across small‐scale gradients. Understanding the strength of predator–prey interactions at local scales, and the identity of key predators, is crucial for designing restoration methods that allow colonisation of target species and exclude key predators.
More species, more trees: The role of tree packing in promoting forest productivity
Authors: Morin Xavier , Toigo Maude , Fahse Lorenz , Guillemot Joannès , Cailleret Maxime , Bertrand Romain , Cateau Eugénie , de Coligny François , García‐Valdés Raúl , Ratcliffe Sophia , Riotte‐Lambert Louise , Zavala Miguel A. , Vallet Patrick 
Published: January 2025

Abstract

Forests provide many ecosystem services that strongly depend on species diversity, as illustrated by the repeatedly observed diversity–productivity relationships (DPRs). These forest DPRs are assumed to result mostly from complementarity between species at the tree level whilst emerging community‐level processes remain poorly explored.

In this study, we propose that the ‘tree packing effect’ (TPE), where species diversity promotes productivity by positively impacting maximum stand density, is an important determinant of DPRs. We tested the two components of TPE: (i) whether maximum stand density increases with species richness and (ii) whether this higher stand density allowed by species richness promotes forest productivity.

First, relying on national forest inventories of six European countries (NFIs, totaling 2,367,776 trees), we fitted self‐thinning lines to examine whether these lines were influenced by plot species richness. We showed that maximum stand density increases with tree species richness in Europe, in all but one country. This trend was notably stronger in extreme climates.

Second, we ran a large simulation‐based experiment (including 7,024,815 simulations) with an individual‐based forest dynamics model able to control for stand‐density effects, to quantify DPRs for more than 1000 sites in Europe. Relying on an original method to quantify DPRs at the site level, we compared the strength of DPRs simulated with and without control for stand density. We found positive DPRs up to 10‐times stronger when TPE is at play than when stand density is controlled. This positive effect of diversity on forest productivity through tree packing is also stronger in extreme climates, especially in warm and dry conditions.

Synthesis. Highlighting the generality of the TPE in European forests, our results reveal that the effect of diversity on forest functioning is partly mediated by diversity‐driven changes in stand density. This mechanism has been long overlooked in biodiversity—ecosystem functioning studies, but our findings strongly call for its reconsideration, especially in natural forests. It also opens key perspectives for management and climate change mitigation programmes.
Technological Innovation, Productive Population, Sustainability and Income Growth in Selected Asian Countries
Authors: Ajmi Ahdi Noomen , Bekun Festus Victor , Onwe Joshua Chukwuma , Habib Muhammad Danish 
Published: January 2025

ABSTRACTSustainable income growth in emerging nations requires productive populations to adopt and innovate technology to boost marginal productivity per worker. To this end, the present study examines how technological adoption, productive population and sustainability affect income growth in selected Asian economies between 1990 and 2022. Thus, to achieve the study objective, a panel analysis circumvents cross‐sectional dependence with estimators such as Augmented Mean Group (AMG) heterogeneous panel regression. Similar robustness estimators like Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS) and Driscoll–Kraay Standard Errors (DKSE) were employed. Key empirical findings include that, with all things being equal, productive population size decreases income growth by 5.6%. This means that productive activity considerably reduces Asian income growth. However, technical advancement boosts revenue. Technological innovation enhances Asian income growth by 1.1% when all model variables are constant. In contrast, using 1% sustainable energy to increase sustainability reduces the region's income growth by 2.9%. This means sustainable energy consumption in Asia reduces economic productivity and income per capita. Based on the study's findings, Asian countries should encourage technology innovation and skill development for productive populations. A productive workforce can build creative skills through ongoing training and manpower incubation via an innovation ecosystem. In the conclusion, more policy directions are appended.
CFD‐Based Hemolysis Study of Fontan Cavopulmonary Assist Device Using Kriging Surrogate Modeling
Authors: Sarfare Shreyas , Palazzolo Alan , Afaq Muhammad , Ghali George , Giridharan Guruprasad , Rodefeld Mark 
Published: January 2025

ABSTRACTBackgroundPredicting hemolysis numerically based on the power‐law model using idealized coefficients obtained from simplified devices yields a large variability in hemolysis index predictions. A computational fluid dynamics (CFD)‐based Kriging surrogate modeling approach, developed by Craven et al. at the US Food & Drug Administration (FDA), was applied to a Fontan cavopulmonary assist device (CPAD) to generate device‐specific hemolysis power‐law coefficients.MethodsThe hemolysis index of a CPAD was measured using tests in a mock loop and simulated using CFD. The Kriging surrogate modeling approach was employed for the Lagrangian and Eulerian formulations of the stress‐based hemolysis power‐law model. The CPAD‐specific power‐law coefficients obtained from one design of the CPAD were used in predicting the Modified Index of Hemolysis (MIH) for an alternate design of the CPAD.ResultsThe MIH CFD predictions with the CPAD‐specific coefficients deviate by 16%–20% using the Eulerian approach, and 7%–15% using the Lagrangian approach, compared with experimental results for the alternate design. This vastly improves over the use of idealized empirical coefficients, which yield variation in MIH predictions up to two orders of magnitude.ConclusionThe presented power‐law approach shows good correlation between CFD and tests in predicting MIH for CPAD design modifications. The hemolysis power‐law coefficients obtained in this study may be useful in predicting hemolysis in similar rotary blood pumps.
Sentinel Lymph Node Detection Using SPECT and Gamma Probe in Low‐Risk Endometrial Cancer: Efficacy and Factors Associated With Detection Failure
Authors: Asanoma Kazuo , Yahata Hideaki , Kodama Keisuke , Okugawa Kaoru , Yasunaga Masafumi , Onoyama Ichiro , Yagi Hiroshi , Maenohara Shoji , Hachisuga Kazuhisa , Isoda Takuro , Shimokawa Mototsugu , Ishigami Kousei , Oda Yoshinao , Kato Kiyoko 
Published: January 2025

ABSTRACTIntroductionThis study examined factors that affected sentinel lymph node (SLN) identification of patients with endometrial cancer having a preoperative estimation of low recurrent risk.MethodsThis study included 97 patients with endometrial cancer who attempted to identify SLN using a uterine cervical injection of technetium‐99 m phytate under laparoscopic or robotic‐assisted surgery at our institute. A preoperative single photon emission computed tomography (SPECT) and intraoperative gamma probe were used to detect hot nodes. Multiple clinical factors, including age, body mass index (BMI), and so on, were investigated for their association with SLN mapping failure.ResultsAmong 97 cases, SPECT failed to detect SLN unilaterally in 38 cases (39%) and on both sides in 9 cases (9%). Meanwhile, the gamma probe failed to detect SLN unilaterally in 23 cases (24%) and on both sides in 3 cases (3%). While only age was significantly associated with SLN detection failure using the SPECT detection system, both age and BMI were significantly associated with SLN detection failure using the gamma probe detection system. When limiting to the preoperative SLN detection failure cohort of 47 cases, there was a strong association between intraoperative SLN detection failure and BMI, but not age.ConclusionThe SLN biopsy system was effectively applied to patients with endometrial cancer who underwent minimally invasive surgery (MIS). Attempts to improve SLN identification in older patients and those with obesity are warranted to obtain maximum benefits of MIS for low‐ or medium‐risk cases.
Cervical‐First Approach in Thoracoscopic Esophagectomy With Intraoperative Nerve Monitoring for an Esophageal Cancer Patient With Aberrant Right Subclavian Artery
Authors: Mochizuki Masato , Tsunoda Shigeru , Okumura Shintaro , Nishigori Tatsuto , Hisamori Shigeo , Kasahara Keiko , Sakamoto Takashi , Kinoshita Hiromitsu , Itatani Yoshiro , Hoshino Nobuaki , Okamura Ryosuke , Maekawa Hisatsugu , Hida Koya , Obama Kazutaka 
Published: January 2025

ABSTRACTAn aberrant right subclavian artery (ARSA) is a rare vascular anomaly accompanied by nonrecurrent inferior laryngeal nerve (NRILN). Here, we described the cervical‐first approach in thoracoscopic esophagectomy for an esophageal cancer patient with ARSA using the intraoperative nerve monitoring (IONM) system. First, a left cervical procedure proceeded to expose the left vagus nerve to attach the APS electrode of the IONM system, and the left cervical paraesophageal lymph nodes was dissected separately. Subsequently, the NRILN was identified using the IONM system by tracing the right vagal nerve with intermittent manual stimulation. In the thoracoscopic procedures, the right vagal nerve was traced cranially from the bronchial bifurcation, and the dissection continued through the cervicothoracic border up to NRILN without difficulty. Continuous nerve monitoring can ensure safe left upper mediastinal dissection ensuring the left recurrent laryngeal nerve integrity in the narrow upper mediastinum. The postoperative course was uneventful and, the patient was discharged on postoperative Day 21. In patients with ARSA, the cervical‐first method in thoracoscopic esophagectomy with IONM is a safer alternative, and left upper mediastinal dissection by the dorsal approach over the esophagus is useful in the restricted space of the upper mediastinum.