bluuebunny/crossref_metadata_2025_split huggingface dataset:
MmCMS: Mouse models’ Consensus Molecular Subtypes of colorectal cancer
Authors: Amirkhah Raheleh , Gilroy Kathryn , Malla Sudhir B , Lannagan Tamsin RM , Byrne Ryan M , Fisher Natalie C , Corry Shania M , Naderi-Meshkin Hojjat , Ahmaderaghi Baharak , Murray Richard , Mills Megan , Campbell Andrew D. ,   ACRCelerate consortium, Llergo Antoni Berenguer , Sanz-Pamplona Rebeca , Villanueva Alberto , Batlle Eduard , Salazar Ramon , Lawler Mark , Sansom Owen J. , Dunne Philip D. 
Published: June 2022

AbstractBACKGROUNDColorectal cancer (CRC) primary tumours are molecularly classified into four consensus molecular subtypes (CMS1-4). Genetically engineered mouse models aim to faithfully mimic the complexity of human cancers and, when appropriately aligned, represent ideal pre-clinical systems to test new drug treatments. Despite its importance, dual-species classification has been limited by the lack of a reliable approach. Here we utilise, develop and test a set of options for human-to-mouse CMS classifications of CRC tissue.METHODSUsing transcriptional data from established collections of CRC tumours, including human (TCGA cohort; n=577) and mouse (n=57 across n=8 genotypes) tumours with combinations of random forest and nearest template prediction algorithms, alongside gene ontology collections, we comprehensively assess the performance of a suite of new dual-species classifiers.RESULTSWe developed three approaches: MmCMS-A; a gene-level classifier, MmCMS-B; an ontology-level approach and MmCMS-C; a combined pathway system encompassing multiple biological and histological signalling cascades. Although all options could identify tumours associated with stromal-rich CMS4-like biology, MmCMS-A was unable to accurately classify the biology underpinning epithelial-like subtypes (CMS2/3) in mouse tumours.CONCLUSIONSWhen applying human-based transcriptional classifiers to mouse tumour data, a pathway-level classifier, rather than an individual gene-level system, is optimal. Our R package with three options helps researchers select suitable mouse models of human CRC subtype for their experimental testing.
Aerodynamic analysis of a logistics UAV wing with compound ducted rotor
Authors: Guan Ying-Jie , Li Yong-Ping , Zeng Peng 
Published: June 2022

Purpose
To solve the problems of short battery life and low transportation safety of logistics drones, this paper aims to propose a design of logistics unmanned aerial vehicles (UAV) wing with a composite ducted rotor, which combines fixed wing and rotary-wing.

Design/methodology/approach
This UAV adopts tiltable ducted rotor combined with fixed wing, which has the characteristics of fast flight speed, large carrying capacity and long endurance. At the same time, it has the hovering and vertical take-off and landing capabilities of the rotary-wing UAV. In addition, aerodynamic simulation analysis of the composite model with a fixed wing and a ducted rotor was carried out, and the aerodynamic influence of the composite model on the UAV was analyzed under different speeds, fixed wing angles of attack and ducted rotor speeds.

Findings
The results were as follows: when the speed of the ducted rotor is 2,500 rpm, CL and K both reach maximum values. But when the speed exceeds 3,000 rpm, the lift will decrease; when the angle of attack of the fixed wing is 10° and the rotational speed of the ducted rotor is about 3,000 rpm, the aerodynamic characteristics of the wing are better.

Originality/value
The novelty of this work comes from a composite wing design of a fixed wing combined with a tiltable ducted rotor applied to the logistics UAVs, and the aerodynamic characteristics of the design wing are analyzed.
Evaluating uncertainties to deliver enhanced service performance in education PPPs: a hierarchical reliability framework
Authors: Geng Linna , Herath Nilupa , Hui Felix Kin Peng , Liu Xuemei , Duffield Colin , Zhang Lihai 
Published: June 2022

PurposeThis study aims to develop a hierarchical reliability framework to evaluate the service delivery performance of education public–private partnerships (PPPs) effectively and efficiently during long-term operations.Design/methodology/approachThe research design included development and test phases. In the development phase, three performance layers, i.e. indicator, component and system, in the education service delivery system were identified. Then, service component reliability was computed through first order reliability method (FORM). Finally, the reliability of the service system was obtained using dynamic component weightings. A PPP school example in Australia was set up in the test phase, where performance indicators were collected from relevant contract documents and performance data were simulated under three assumptive scenarios.FindingsThe example in the test phase yielded good results for the developed framework in evaluating uncertainties of service delivery performance for education PPPs. Potentially underperforming services from the component to the system level at dynamic timepoints were identified, and effective preventative maintenance strategies were developed.Research limitations/implicationsThis research enriches reliability theory and performance evaluation research on education PPPs. First, a series of performance evaluation indicators are constructed for assessing the performance of the service delivery of the education PPP operations. Then, a reliability-based framework for service components and system is developed to predict service performance of the PPP school operations with consideration of a range of uncertainties during project delivery.Practical implicationsThe developed framework was illustrated with a real-world case study. It demonstrates that the developed reliability-based framework could potentially provide the practitioners of the public sector with a basis for developing effective preventative maintenance strategies with the aim of prolonging the service life of the PPP schools.Originality/valueEvaluating education PPPs is challenging as it involves long-term measurement of various service components under uncertainty. The developed reliability-based framework is a valuable tool to ensure that reliability is maintained throughout the service life of education PPPs in the presence of uncertainty.
A meta-network-based management framework for megaproject social responsibility behaviour in China
Authors: Xie Linlin , Ju Tianhao , Han Ting , Hou Lei 
Published: June 2022

PurposeAs megaprojects bear extensive and profound social responsibilities throughout the project life cycle, formulating effective measures for improving construction enterprise social responsibility is key to project success. Given the current research is relatively lack of these measures, this study aims to formulate a meta-network framework to improve the megaproject social responsibility behaviour (MSRB) for construction enterprises.Design/methodology/approachFirst, this study implements literature review, expert interview and field investigation to identify the construction enterprise MSRB and its influencing factors. Second, this study evaluates the MSRB implementation level of the selected construction enterprises and proposes the above mentioned meta-network framework. Next, this meta-network is configured to reflect the impact of MSRB strategic adjustment. Last but not least, a real-world case study is carried out to validate this framework.FindingsThe best MSRB performance is always witnessed from the contractor group, followed by the project client group and the site supervisor group. The outcomes of implementing certain managerial strategies indicate that (1) social responsibility cognition is a critical factor for all the groups; (2) communication mechanism and normative pressure are the critical factors for clients; (3) coercive pressure is a critical factor for supervisors and (4) cultural cognitive pressure is a critical factor for clients and contractors.Originality/valueThe use of the framework in proactive assessment and management of MSRB can lead to effective strategies for construction enterprises to increase the efficiency and quality of projects.
Fostering product and process innovation through transformational leadership and knowledge management capability: the moderating role of innovation culture
Authors: Gui Linnan , Lei Hui , Le Phong Ba 
Published: June 2022

PurposeDue to the vital role of innovation for firms to respond effectively to the rapid changes of business environment, the purpose of this study is to explore the influence of transformational leadership (TL) on innovation capability of firms via mediating role of knowledge management capability (KMC). It attempts to deepen insight on the moderating mechanism of innovation culture (IC) in enhancing the effects of KMC on two specific aspects of innovation capability namely product and process innovation.Design/methodology/approachThe paper utilized structural equation modeling (SEM) and cross-sectional design to test hypotheses in the proposed research model using data collected from 339 participants in 75 manufacturing and service firms in China.FindingsThe findings indicate that TL directly or indirectly affect firm's innovation via mediating role of KMC. The findings highlight that influences of KMC on aspects of innovation capability are different and depended on the degree of innovative climate in an organization.Research limitations/implicationsFuture research should examine the mediating mechanisms of knowledge acquisition, knowledge sharing and knowledge application to provide deeper insight on specific roles of knowledge management's constituents in linking TL and innovation capability.Originality/valueThis study contributes to bridging research gaps in the literature and advancing the insights of how TL directly and indirectly fosters product and process innovation via mediating roles of KMC. By investigating moderating role of IC, this study has provided the valuable initiatives and integration view of a new mechanism to foster specific dimensions of innovation capability of firms in developing and emerging market.
Unraveling hybrid exchange: virtual tipping on live-streaming platforms
Authors: Sun John Peikang , Fernandez Karen V. , Frethey-Bentham Catherine 
Published: June 2022

PurposeThe purpose of this research is to explore the nature of virtual tipping in live game streaming from the perspective of tippers.Design/methodology/approachThis qualitative research involved six naturalistic group interviews with 27 young adult game streaming tippers in China.FindingsThe research revealed a typology of four virtual tipping exchanges – perfunctory exchange, transactional (commodity) exchange, relational (gift) exchange and hybrid exchange. The most notable finding is hybrid exchange, a synergistic hybrid of transaction and gift-giving.Practical implicationsThe authors recommend that both streamers and streaming platforms acknowledge and accommodate both transactional and relational tipping motivations. The authors also recommend platforms to recruit skillful streamers with high emotional intelligence to better convert perfunctory tippers into tippers who tip more generously.Originality/valueThe result of hybrid exchange suggests going beyond the traditional commodity vs gift dichotomy to examine the potential market-gift complementary in a single exchange in the sharing economy.
Piloting personalization research through data-rich environments: a literature review and future research agenda
Authors: Mehmood Khalid , Verleye Katrien , De Keyser Arne , Larivière Bart 
Published: June 2022

PurposeOver the last 50 years, increased attention for personalization paved the way for one-to-one marketing efforts, but firms struggle to deliver on this promise. The purpose of this manuscript is to provide a complete picture on personalization, develop a future research agenda and put forth concrete advice on how to move the field forward from a theoretical, methodological, contextual, and practical viewpoint.Design/methodology/approachThis research follows a systematic literature review process, providing an in-depth analysis of 135 articles (covering 184 studies) to distill the (1) key building blocks and components of personalization and (2) theoretical, contextual, and methodological aspects of the studies.FindingsThis manuscript uncovers six personalization components that can be linked to two personalization building blocks: (1) learning: manner, transparency, and timing and (2) tailoring: touchpoints, level, and dynamics. For each of these components, the authors propose future research avenues to stimulate personalization research that accounts for challenges in today's data-rich environments (e.g. data privacy, dealing with new data types). A theoretical, contextual, and methodological (i.e. industry, country and personalization object) review of the selected studies leads to a set of concrete recommendations for future work: account for heterogeneity, embed theoretical perspectives, infuse methodological innovation, adopt appropriate evaluation metrics, and deal with legal/ethical challenges in data-rich environments. Finally, several managerial implications are put forth to support practitioners in their personalization efforts.Originality/valueThis research provides an integration of personalization research beyond existing and outdated review papers. Doing so, it accounts for the impact of new technologies and Artificial Intelligence and aims to advance the next generation of knowledge development on personalization.
Performance management change: discourses at play in an Italian university
Authors: Manes-Rossi Francesca , Spanò Rosanna , Martin-Sardesai Ann , Guthrie James 
Published: June 2022

PurposeThis study explores the reactions of different categories of actors within a university setting (academics, administrative staff, governance members, and students) to implementing performance management system (PMS) changes. The paper aims to understand how these actors dealt with PMS change by discursively reconstructing their roles and positions at institutional and individual levels.Design/methodology/approachThe authors use Foucault's (1972/1989) conceptualisation of regimes of truths to analyse the case of an Italian university. Interviews with individual actors took place in the period 2012–2020. The data were contextualised with other data from publicly available reports, internal documents, and archival material.FindingsThe paper identifies the challenges actors face dealing with contrasting discourses and draws attention to the paradoxical changes triggering resistance. However, the findings show that when circumstances allow a generative resistance, dissent can be progressively replaced with a commitment on the part of actors, achieving alignment with organisational strategy.Originality/valueThe study challenges the commonly held view of resistance as a dysfunctional force that impedes change. It emphasises the importance of focusing on actors to make resistance a generative force shaping change towards more negotiated and agreed positions. This has implications for academics and practitioners seeking to implement PMSs.
To learn and let learn? Characteristics of the learning environment in knowledge-intensive medium-sized enterprises
Authors: Csizmadia Péter , Csillag Sára , Szászvári Karina Ágnes , Bácsi Katalin 
Published: June 2022

Purpose
This study aims to investigate the characteristics of learning environments and the related human resource (HR) practices in two Hungarian information technology (IT) companies. The aim of the contribution is to provide an empirical in-depth analysis of how learning environments are being created and managed in knowledge-intensive small- and medium-sized enterprises.

Design/methodology/approach
This study is based on the analysis of two company case studies. Relying on semi-structured interviews, the following research question was formulated: Are knowledge-intensive organisations necessarily accompanied by an expansive learning environment and HR practices consistent with that?

Findings
The lessons learned from the two case studies indicate that there is no direct link between knowledge-intensive work and an expansive learning environment. The establishment of a specific type of learning environment is rather connected to the types of knowledge being used in the labour process and the management’s perspective on learning and development. It also implies that companies, instead of representing unified models, may combine various elements of an expansive and restrictive learning environment.

Originality/value
The originality of the findings of this study lies in the interpretative linking of learning environments and HR practices in medium-sized IT companies.
Self-supporting or third-party? The optimal delivery strategy selection decision for e-tailers under competition
Authors: Yu Jing , Song Zonghui , Zhou Chi 
Published: June 2022

PurposeWith the vigorous development of the e-commerce delivery service industry, delivery service has become an important factor for e-tailers to obtain the market competitive advantage. However, how to choose the best delivery service strategy is a difficult problem for e-tailers in practice. The purpose of this paper is to investigate the effect of delivery service on e-tailers and online platforms.Design/methodology/approachBased on the Stackelberg game, the research study establishes and solves three models, namely dual self-supporting delivery service model, dual third-party delivery service model and differential delivery service model.FindingsThe results show that when the self-supporting and third-party delivery cost coefficients are all small, no matter which delivery service providers the competitor selects, the e-tailer selects delivery with a lower service fee. When the self-supporting and third-party delivery service fee are all low, no matter which delivery service providers the competitor selects, the e-tailer selects delivery with a smaller service cost. Both service fee and service cost determine the choice of e-tailers' delivery strategy. When the commission rate is moderate, both e-tailers are willing to choose the self-supporting delivery strategy, but the platform only prefers to provide self-supporting delivery to them with a lower delivery service sensitivity coefficient.Originality/valueThis paper analyzes the optimal delivery service strategies for e-tailers to compete with competitors, and explores the impacts of parameters for e-tailers and online platforms in their decision-making. The findings provide valuable implications for relevant practices.
Adaptive capacity constraint buffer monitoring of the multi-project system based on the relevance of drum activities
Authors: Zhang Junguang , Han Qing 
Published: June 2022

PurposeThe activities using drum resources restrict the operation of multi-project systems. However, existing monitoring methods are not suitable for the characteristics of drum activities in the multi-project system. The authors therefore propose an adaptive capacity constraint buffer monitoring model based on the attributes of drum activities, aiming to build a high-efficiency progress control framework for multiple projects.Design/methodology/approachConsidering the attributes and the interrelationship of drum activities, the monitoring reference points are determined on the basis of decentralized buffers. The authors next set action thresholds according to the relationship between the drum activities' interval margin and buffer consumption, and then the corresponding monitoring measures are taken.FindingsThe empirical results show that, compared to the classic methods, the proposed approach can effectively monitor the progress of the drum plan and realize the dual optimization of multi-project duration and cost.Research limitations/implicationsThe buffer consumption at the follow-up monitoring time point is neglected when determining the action thresholds. Prediction methods can be introduced to present more all-sided monitoring.Practical implicationsThis paper fulfils the dual optimization of multi-project duration and cost. It provides a reference guide for project managers.Originality/valueA capacity constraint buffer monitoring method suitable for a multi-project environment is produced.
Emission-decoupling accounting framework of the Environmental Kuznets Curve (EKC) for India with structurally decomposed production and consumption based drivers
Authors: Banerjee Suvajit 
Published: June 2022

PurposeThe study attempts to capture the comprehensive accounting framework of the inverted U-shaped Environmental Kuznets Curve (EKC) hypothesis relevant for an emerging economy based on an emission-growth decoupling approach. The paper intends to re-examine and analyze the roles of influential production- and consumption-based drivers for the prominently observable increasing pattern of the energy-related carbon dioxide (CO2) emissions from the Indian Territory.Design/methodology/approachThe study adopted an annual time series structural decomposition analysis (SDA) based on a single-country input-output framework for the period 2000–2014 to identify and elaborate the contribution of the responsible drivers to the production-based carbon emission of India. The study further proceeded to analyze a decoupling index to explore the features of economic growth and carbon emissions comovement over time.FindingsThe results from the empirical exercise reflect a pattern of consistently developing relative decoupling character for most of the production-based drivers. The paper produces insightful results on the pattern of energy-related CO2 emissions from the perspective of the EKC hypothesis and highlights the importance of consumption-based drivers as substantial contributors to the economy-wide CO2 emissions to be controlled for effective decoupling of the aggregate production-based CO2 from the volume of aggregate production to enhance the opportunities for sustainable economic development.Originality/valueThe study uniquely correlates the declining trend of the emission intensity of India's gross domestic product (GDP) and the inclining trend of the overall emissions due to ever-increasing gross output in the form of a comprehensive accounting relationship.
Corporate disclosure of CO2 embedded in oil and gas reserves: stock market assessment in a context of global warming
Authors: Beauchamp Charlotte , Cormier Denis 
Published: June 2022

PurposeThe authors assess the informativeness for stock markets of proven reserves of oil and gas, and embedded CO2 in those reserves.Design/methodology/approachBased on a two-step regression approach, the authors attempt to test the relationship between proven reserves, CO2 embedded in those reserves and the stock market value controlling for the selection bias (i.e. the decision of managers to disclose environmental information about embedded CO2).FindingsResults, based on a sample of the US and Canadian firms are the following. Proven reserves increase the firm’s value, while embedded CO2 reduces the stock market value substantially. Furthermore, the decision of managers to disclose information about embedded CO2 is positively related to analyst following, share price volatility, firm size, and institutional ownership.Originality/valueThe current study assesses the long-term incidence of embedded CO2 (in oil and gas proven reserves) on firms’ stock market value, while most studies are focusing on yearly CO2 emissions.