bluuebunny/crossref_metadata_2025_split huggingface dataset:
Minute virus of mice is oncolytic for pancreatic cancer cells with mesenchymal phenotype
Authors: Garcin P. , Lulka H. , Dusetti N. , Vienne M. , Buscail L. , Cordelier P. 
Published: April 2023

AbstractPancreatic cancer will soon become the second cause of death by cancer in Western countries. The main barrier to increase the survival of patients with this disease requires the development of novel and efficient therapeutic strategies, that better consider tumor biology. Oncolytic viruses are quickly moving toward the forefront of medicines for the management of cancer. Among them, the fibrotropic minute virus of mice prototype (MVMp) preferentially infects migrating and undifferentiated cells, that highly resemble poorly differentiated, basal-like, pancreatic tumors showing the worst clinical outcome. Thus, we hypothesized that MVMp may specifically target the most aggressive subtype of pancreatic cancer cells. We report here that MVMp specifically infects, replicates in and kills pancreatic cancer cells from murine and human origin with a mesenchymal, basal-like profile, while sparing cancer cells with an epithelial phenotype.In vivo, MVMp shows oncolytic activity in experimental tumors with mesenchymal phenotype only, and shows increased antitumoral efficacy in immune competent models. Collectively, we demonstrate herein for the first time that MVMp is specific and oncolytic for pancreatic tumors with mesenchymal, basal-like profile, paving the way for precision medicine opportunities for the management of the most aggressive and lethal form of this disease.
Students’ psychological state and its associated factors during an outbreak of COVID-19 in Pakistan: a web-based survey
Authors: Ali Naureen Akber , Feroz Anam , Akber Noshaba , Khoja Adeel 
Published: April 2023

PurposeCoronavirus disease 2019 (COVID-19) pandemic has led to unprecedented mental health repercussions in the lives of every individual including university students. Therefore, study on students’ psychological state and its associated factors during the pandemic are of importance. This study aims to discuss the aforementioned issue.Design/methodology/approachAn online survey was done on a total of 207 university students of Pakistan to collect information on socio-demographic characteristics, concerns or fears amidst COVID-19 and mental distress. Validated tools; Perceived Stress Scale (PSS), Generalized Anxiety Disorder Scale (GAD-7) and Patient Health Questionnaire (PHQ-9)-Depression were used to assess stress, anxiety and depression, respectively.FindingsAround 14% of the university students were experiencing severe stress and anxiety, while 8.2% had severe depression. The authors found that stress among university students was related to psychiatric illness or symptoms (OR = 5.1: 1.1, 22.9) and unpredictability due to the pandemic (OR = 3.7: 1.2, 11.2). The significant determinants of anxiety were psychiatric illness/symptoms (OR = 6.6: 3.4, 12.9), implementation of public health measures (OR = 3.7: 1.1, 11.6), employed mothers (OR = 2.4: 1.1, 5.0) and lack of support from university administration (OR = 2.2: 1.0, 5.0). While the factors associated with depression included psychiatric illness or symptoms (OR = 8.4: 3.3, 21.5), unpredictability due to pandemic (OR = 6.8: 2.2, 20.7), impaired social support system (OR = 3.7: 1.3, 10.4) and studying without a scholarship (OR = 2.1: 1.0, 4.4).Research limitations/implicationsThese findings call for an urgent need to develop appropriate interventions and educational programs that could address the psychological needs of students.Practical implicationsThe study directs the role of university and faculty in dealing the mental health needs of the student in COVID-19 pandemic time.Social implicationsEducational programs are important that could address the psychological needs of students in COVID-19 pandemic.Originality/valueUniversity students reported mental distress during COVID-19 pandemic which shows that younger people are at risk of COVID-19 repercussions. Moreover, several stressors (i.e. impaired social support system and lack of support from universities) were revealed that could be mitigated by implementing appropriate strategies.
How to identify influential content: Predicting retweets in online financial community
Authors: He Dandan , Yao Zhong , Zhao Futao , Wang Yue 
Published: April 2023

PurposeRetail investors are prone to be affected by information dissemination in social media with the rapid development of Web 2.0. The purpose of this study is to recognize the factors that may impact users' retweet behavior, namely information dissemination in the online financial community, through machine learning techniques.Design/methodology/approachThis paper crawled data from the Chinese online financial community (Xueqiu.com) and extracted author-related, content-related, situation-related, stock-related and stock market-related features from the dataset. The best information dissemination prediction model based on these features was determined by evaluating five classifiers with various performance metrics, and the predictability of different feature groups was tested.FindingsFive prevalent classifiers were evaluated with various performance metrics and the random forest classifier was proven to be the best retweet prediction model in the authors’ experiments. Moreover, the predictability of author-related, content-related and market-related features was illustrated to be relatively better than that of the other two feature groups. Several particularly important features, such as the author's followers and the rise and fall of the stock index, were recognized in this paper at last.Originality/valueThis study contributes to in-depth research on information dissemination in the financial domain. The findings of this study have important practical implications for government regulators to supervise public opinion in the financial market.
Predictability of Belgian residential real estate rents using tree-based ML models and IML techniques
Authors: Lenaers Ian , Boudt Kris , De Moor Lieven 
Published: April 2023

Purpose
The purpose is twofold. First, this study aims to establish that black box tree-based machine learning (ML) models have better predictive performance than a standard linear regression (LR) hedonic model for rent prediction. Second, it shows the added value of analyzing tree-based ML models with interpretable machine learning (IML) techniques.

Design/methodology/approach
Data on Belgian residential rental properties were collected. Tree-based ML models, random forest regression and eXtreme gradient boosting regression were applied to derive rent prediction models to compare predictive performance with a LR model. Interpretations of the tree-based models regarding important factors in predicting rent were made using SHapley Additive exPlanations (SHAP) feature importance (FI) plots and SHAP summary plots.

Findings
Results indicate that tree-based models perform better than a LR model for Belgian residential rent prediction. The SHAP FI plots agree that asking price, cadastral income, surface livable, number of bedrooms, number of bathrooms and variables measuring the proximity to points of interest are dominant predictors. The direction of relationships between rent and its factors is determined with SHAP summary plots. In addition to linear relationships, it emerges that nonlinear relationships exist.

Originality/value
Rent prediction using ML is relatively less studied than house price prediction. In addition, studying prediction models using IML techniques is relatively new in real estate economics. Moreover, to the best of the authors’ knowledge, this study is the first to derive insights of driving determinants of predicted rents from SHAP FI and SHAP summary plots.
A configurational approach to last mile logistics practices and omni-channel firm characteristics for competitive advantage: a fuzzy-set qualitative comparative analysis
Authors: Risberg Andreas , Jafari Hamid , Sandberg Erik 
Published: April 2023

PurposeThe purpose is to explore how the configurations resulting from the interplay of last mile logistics practices and firm characteristics are associated with firm performance in an omni-channel context.Design/methodology/approachDrawing on configuration theory (CT), the authors use fuzzy-set qualitative comparative analysis (fsQCA) to analyze data on 72 Swedish omni-channel retailers.FindingsFour configurations are identified—store-oriented small and medium-sized enterprises (SME's), online-oriented SME's, large store-oriented retailers and large online-oriented retailers. The results show that while offering a wide range of delivery options is necessary to achieve high performance, it is not sufficient, and that returns and fulfilment should be simultaneously considered. For instance, large high-performers leverage their stores and warehouses for fulfilment and returns in an integrated way irrespective of sales channel-mix. However, SME's appear to focus on fulfilment simplicity with less-costly delivery alternatives, where store-oriented SME's leverage stores and the online-oriented counterparts leverage warehouses. Consequently, the authors develop a configurational taxonomy and discuss a set of recipes which provide insights for researchers and practitioners.Research limitations/implicationsThe study provides a more comprehensive understanding of the pathways to success, and potential pitfalls, in the last mile logistics context.Originality/valueThis study applies a novel methodology in the field, namely fsQCA, to explore the paths to competitive advantage. It covers a wide range of stages in the LM including back-end fulfilment, delivery and returns. It also provides insight into the logistics practices of both SME's and large omni-channel retailers.
The role of risk management committee between risk-taking behavior and companies’ performance
Authors: Muqorobin Masculine Muhammad , Rani Utpala , Simamora Alex Johanes 
Published: April 2023

PurposeThis research aims to examine the moderating role of the existence of risk management committee between risk-taking behavior and companies’ performance.Design/methodology/approachResearch sample includes 383 manufacturing company-year that listed on the Indonesian Stock Exchange period of 2017–2020. The risk-taking behavior includes the use of leverage, capital intensity, research and development intensity, and earnings uncertainty. The hypothesis test uses company fixed-effect regression.FindingsThe result shows that risk management committee moderates the effect of risk-taking behavior on companies’ performance. This research also finds the similar result when risk management committee and risk-taking behavior are examined on the future performance. In the further analysis, the result also finds that the expertise of risk management committee moderates the effect of risk-taking behavior on companies’ performance.Originality/valueThis research contributes to fill the previous gap of risk-taking behavior and companies’ performance by considering the existence of risk management committee to promote oversight role on risk-taking behavior. This research also contributes to give new evidence in Indonesia about the role of risk management committee to improve the benefits or to reduce the costs of risk-taking behavior.
Carbon emissions measurement as intra-action: incentives to disclose air emissions at a Canadian university
Authors: Porporato Marcela , Samuels-Jones Tameka 
Published: April 2023

Purpose
The purpose of this paper is to use the case of York University in Canada to analyze the connection between University Social Responsibility and voluntary disclosure. The authors examine whether the university’s voluntary air emissions disclosure is performative by exploring whether York University’s espoused commitment to its community stakeholders truly guides its incentive to disclose carbon emissions in the absence of a legal mandate.

Design/methodology/approach
This qualitative exploratory study uses a post-humanistic approach to build on publicly available data on key measures and metrics of air quality and carbon emissions to facilitate our understanding of representational and interventionist uses of measurement models by social actors and their basis for making voluntary disclosures.

Findings
York University linked the logic of capital markets with sustainability disclosures as an incentive for managing the cost of long-term debt. This paper contributes to measurement practice of sustainability disclosure by reinforcing the practice-theoretic conception of measurement that questions the independent nature of objects measured from the measurement methods and reporting tools.

Practical implications
The findings of this study are important to higher education administrators, regulators and policymakers, as they offer a strategic guide for the assessment of reports on an organization’s commitment to sustainability and in determining the efficacy of voluntary reporting to community stakeholders in general although they are intended for specific groups.

Originality/value
Using York University as an illustrative case, the authors argue that air emissions per se are not a reality that shapes decisions at the organizations; instead, the intra-action of air emissions measurement, communications and operational investments define the reality where sustainability is advanced. Specifically, the authors find that the performative effects of emissions disclosure may be associated with socially desirable outcomes in terms of social responsibility and concrete financial rewards.
Analysis on the dynamic characteristics of spiral groove dry gas seal based on the gas film adaptive adjustment model
Authors: Xu Hengjie , Yue Yinggang , Song Pengyun , Mao Wenyuan , Deng Qiangguo , Sun Xuejian 
Published: April 2023

Purpose
This study aims to acquire the influence mechanism of gas film adaptive adjustment (GFAA) acted on the dynamic characteristics of spiral groove dry gas seal (S-DGS) and then propose a sealing stability enhancement measure.

Design/methodology/approach
The gas film dynamic stiffness and damping of S-DGS are obtained by numerically solving the transient Reynolds equation based on perturbation method and finite difference method. The dynamic coefficients in GFAA model and constant gas film thickness (CGFT) model are compared and analyzed.

Findings
There is the risk to misestimate the instability of DGS with rotational speed or medium pressure grows under the condition of CGFT assumption. Based on GFAA model, increasing balance ratio B properly is an effective measure to improve the stability of DGS. The balance ratio can stimulate the sensitivity of gas film dynamic coefficients to the variation of rotational speed. Increasing medium pressure in small balance ratio range will be conducive to reducing the risk of angular instability.

Originality/value
The influence mechanism of GFAA on S-DGS dynamic characteristics is analyzed. The interactions between rotational speed and balance ratio, medium pressure and balance ratio acted on gas film dynamic characteristics are explored based on the GFAA model.
Board diversity in Mauritius: a practice theory perspective
Authors: Gunesh Ramlugun Vidisha , Stainbank Lesley 
Published: April 2023

PurposeThe aim of this study is to explore how a practice approach can provide an understanding of board diversity practices. Drawing from Schatzki's practice theory, this study considered how board diversity is practiced from the doings and sayings of directors in Mauritius.Design/methodology/approachIn this study, in-depth interviews with directors in listed companies from different industrial sectors were used to collect data.FindingsThe authors' findings indicate that a country's board diversity practices are influenced by the country's unique social, economic and cultural environment. Whilst board diversity practices may appear as the practices that are motivated by compliance, a deeper look at the results reveals that the laws governing board diversity are interpreted very subtly in a way that benefits shareholders' self-interest. A low percentage of female directors on boards and some indications of shareholder-driven practices are also found. Whilst the corporate sector acknowledges the advantages of diversity, there are some practices that they are unwilling to abandon, demonstrating the importance of the teleoaffective structures and normativity in determining what really occurs. Members of boards resolving disagreement further demonstrates the teleoaffective structure.Research limitations/implicationsThis research would be of interest to researchers because of the research's novel approach in studying board diversity which could be used by other researchers to experiment with a practice approach in exploring corporate governance phenomena in unique settings.Practical implicationsThe findings are of relevance to policymakers and regulators who seek to strengthen corporate governance practices in similar settings.Originality/valueThis research contributes to the literature on board diversity by showing that analysing board diversity through a practice approach enables a more comprehensive understanding of practices. The authors' study confirms that practice theory has the potential to re-orient the way board diversity studies are undertaken.
Moderating effect of IFRS adoption on accounting conservatism and cost of equity: evidence from Canadian ESG data
Authors: Chouaibi Yamina , Belhouchet Saida 
Published: April 2023

Purpose
The purpose of this paper is to examine the moderating effect of International Financial Reporting Standards (IFRS) adoption on the relationship between accounting conservatism and the cost of equity in Canadian environmental, social, and corporate governance (ESG) firms.

Design/methodology/approach
Panel data was collected using the Thomson Reuters ASSET4 database on a sample of 284 Canadian ESG companies over the period 2007–2019.

Findings
The results obtained show a negative relationship between conditional conservatism and the cost of equity. The authors also find a negative relationship between unconditional conservatism and the cost of equity. In addition, IFRS adoption moderates the relationship between accounting conservatism and the cost of equity in Canadian ESG firms.

Research limitations/implications
Future studies may extend the coverage of the study by including other countries and other sectors.

Practical implications
The results imply that prudent accounting signals information to investors about the quality of a company’s current and future earnings. The rates of return required by investors may be higher for conservative reporting companies that are more susceptible to opportunistic management discretion.

Originality/value
Although the previous literature has studied the direct correlation between accounting conservatism and the cost of equity, the present work focuses on examining the direct association between accounting conservatism and the cost of equity through the moderator effect of IFRS, which has not been widely used in studies of accounting conservatism until now.
Who did what and when? The effect of chatbots’ service recovery on customer satisfaction and revisit intention
Authors: Zhu Yimin , Zhang Jiemin , Wu Jifei 
Published: April 2023

Purpose
This study aims to explore the recovery performances of chatbots (vs human employees) and help firms use chatbots to carry out effective service recovery.

Design/methodology/approach
Two experiments were conducted to test the proposed hypotheses.

Findings
The results show that compared with human employees’ recovery, chatbots’ recovery leads to lower customer satisfaction and revisit intention. This effect is more significant for symbolic recovery instead of economic recovery. Perceived distributive and interactional justice mediate the interaction effect of recovery provider and recovery strategy on recovery performance. Using immediate recovery rather than delayed recovery can attenuate chatbots’ poor performances in symbolic recovery.

Originality/value
This study enriches the chatbot research and the service recovery literature by deploying chatbots into the service recovery setting. Using an integrated theoretical model including recovery strategy and recovery timing, this study provides substantive insight into how firms can enhance chatbots’ recovery performances.
Is Bangladesh’s policy response to the growing e-commerce sector compatible with its commitment to fight predicate offences for money laundering?
Authors: Haq Md. Zahurul 
Published: April 2023

Purpose
This study aims to investigate Bangladesh’s e-commerce regulations in light of the growing criticism that they are insufficient to curb predicate crimes like fraud and money laundering in the online marketplace.

Design/methodology/approach
This study used the exploratory design to examine the latest ministerial directives and laws governing e-commerce in Bangladesh to determine why they cannot prevent fraudulent activities in this promising sector and identify potential solutions.

Findings
Bangladesh’s regulatory responses to e-commerce fraud prevention and detection are reactive and inadequate. Regulators are unwilling and unable to enforce available legal provisions for various reasons, including a lack of knowledge and coordination among the agencies.

Research limitations/implications
This paper focuses solely on the legal and regulatory framework in place to combat e-commerce fraud. Other critical issues, such as consumer rights, privacy and data protection in e-commerce, are not addressed.

Practical implications
The findings of this study will assist policymakers in revising current regulatory approaches to e-commerce to protect this sector from criminal abuse.

Originality/value
This study looked into the possibility of using a proactive risk-based approach in the e-commerce sector, similar to what the Bangladesh Financial Intelligence Unit does in the financial sector.
Data governance services evaluation: a multi-attribute group decision-making method with multigranular uncertain linguistic variables
Authors: Wang Zimi 
Published: April 2023

PurposeGovernment organizations often store large amounts of data and need to choose effective data governance service to achieve digital government. This paper aims to propose a novel multi-attribute group decision-making (MAGDM) method with multigranular uncertain linguistic variables for the selection of data governance service provider.Design/methodology/approachThis paper presents a MAGDM method based on multigranular uncertain linguistic variables and minimum adjustment consensus. First, a novel transformation function is proposed to unify the multigranular uncertain linguistic variables. Then, the weights of the criteria are determined by building a linear programming model with positive and negative ideal solutions. To obtain the consensus opinion, a minimum adjustment consensus model with multigranular uncertain linguistic variables is established. Furthermore, the consensus opinion is aggregated to obtain the best data governance service provider. Finally, the proposed method is demonstrated by the application of the selection of data governance service provider.FindingsThe proposed consensus model with minimum adjustments could facilitate the consensus building and obtain a higher group consensus, while traditional consensus methods often need multiple rounds of modifications. Due to different backgrounds and professional fields, decision-makers (DMs) often provide multigranular uncertain linguistic variables. The proposed transformation function based on the positive ideal solution could help DMs understand each other and facilitate the interactions among DMs.Originality/valueThe minimum adjustment consensus-based MAGDM method with multigranular uncertain linguistic variables is proposed to achieve the group consensus. The application of the proposed method in the selection of data governance service provider is also investigated.