bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spillovers and connectedness between Chinese and ASEAN stock markets during bearish and bullish market statuses
Authors: Yousaf Imran , Mensi Walid , Vo Xuan Vinh , Kang Sanghoon 
Published: February 2023

PurposeThis study aims to examine the tail connectedness between the Chinese and Association of Southeast Asian Nations (ASEAN) stock markets. More specifically, the authors measure the return spillovers at three quantile levels: median (t = 0.5), lower extreme (t = 0.05) and upper extreme (t = 0.95). The connectedness at extreme upper and lower quantiles provides insightful information to investors regarding tail risk propagation, which ultimately suggests that investors adjust their portfolios according to the extreme bullish and bearish market conditions.Design/methodology/approachThe authors employ the quantile connectedness approach of Ando et al. (2022) to examine the quantile transmission mechanism among the ASEAN and Chinese stock markets.FindingsThe results show significant evidence of a higher level of connectedness between Chinese and ASEAN stock markets at extreme upper and lower quantiles compared to the median quantiles, which suggests the use of a quantile-based connectedness approach instead of an average-measure-based one. Furthermore, the time-varying connectedness analysis shows that the total spillovers reach the highest peaks during the global financial crisis, the Chinese stock market crash and the COVID-19 pandemic at the upper, lower and median quantiles. Finally, the static and dynamic pairwise spillovers between the Chinese and ASEAN markets vary over quantiles as well.Originality/valueThis study is the first attempt to examine quantile vector autoregression (VAR)-based return spillovers between China and ASEAN stock markets during different market statuses. Besides, the COVID-19 has intensified the uncertainty in Asian countries, mainly China and ASEAN economies.
Affect and information technology use: the impact of state affect on cognitions and IT use
Authors: Dinger Michael , Wade Julie T. , Dinger Steven , Carter Michelle , Thatcher Jason Bennett 
Published: February 2023

PurposeThis paper investigates the dynamics between state affect and trusting cognitive beliefs on post-adoptive information technology (IT) use behaviors in the form of intention to explore and deep structure usage. That state affect can influence behaviors is recognized in practice. In fact, some studies examine the impact of affective constructs, but the way state affect impacts how individuals use IT remains largely unexplored. The authors theorize that state affect, in the form of positive and negative affect, will influence trusting cognitive beliefs regarding an IT artifact (in terms of perceived helpfulness, capability and reliability) and, more importantly, directly influence intention to explore and deep structure usage.Design/methodology/approachThe authors test the model using a sample of 357 IT users. Survey items were derived from established measures, and the data were analyzed using structural equation modeling.FindingsResults of this study suggest that positive affect and negative affect impact trusting cognitive beliefs. Trusting cognitive beliefs positively impact intention to explore with an IT and deep structure usage of an IT. Even in the presence of trusting beliefs, though, positive affect directly impacts intention to explore. Positive affect and negative affect both also have various indirect, mediated effects on intention to explore and deep structure usage.Originality/valueIn order to maximize value from workplace IT, the results suggest managers foster an authentic, positive work environment in order to harness or redirect employees' emotional energies.
Solution exemplars and sales performance arising in online outsourcing: the moderating role of expertise
Authors: Yang Xi , Zhou Zhiyuan , Zhao Quanwu , London Jackie (Jake) , Tan Guangzhu 
Published: February 2023

PurposeService providers on highly competitive online outsourcing platforms employ various signals to entice buyers to make online purchases. One such signal—the solution exemplars—attracts attention through depictions of exemplary prior work completed by the service providers. Unfortunately, it is not known the extent to which solution exemplar characteristics affect sales performance nor is it clear how such signals perform in the presence of complementary signals such as service provider expertise. This paper explores these issues.Design/methodology/approachExtending signaling theory, the authors develop a model to explore the effects of solution exemplar characteristics (i.e. exemplar quantity, exemplar diversity and exemplar popularity) on sales performance under the moderating impact of service provider expertise. The authors test the model using proprietary data from ZBJ.com, a leading online outsourcing platform in China.FindingsExemplar quantity and exemplar popularity positively affect sales performance; exemplar diversity has no significant impact on sales performance and service provider expertise positively moderates the relationships between exemplar quantity, exemplar popularity and sales performance.Originality/valueThis work makes several significant contributions. First, the authors enrich the research on signals in online outsourcing by exploring the impact of solution exemplar characteristics on sales performance. Second, the authors analyze three solution exemplar characteristics: exemplar quantity, exemplar diversity and exemplar popularity. Third, this work shows that service provider expertise moderates the relationship between solution exemplar characteristics and sales performance. Important practical implications for both online outsourcing platforms and service providers are discussed.
Relationship dynamics of trailing spouses before and during a time of crisis
Authors: Végh Judit , Dúll Andrea , Luu Lan Anh Nguyen 
Published: February 2023

PurposeThis qualitative study explores how trailing spouses form their relationships before and after a crisis such as the COVID-19 pandemic and what patterns can be observed. It explores their significant relationships with friends and extended family, focusing on dynamics and change.Design/methodology/approachThe authors conducted semi-structured interviews with seven trailing spouses in Malaysia: before the pandemic, in the beginning and at the end of the first year of the pandemic. The authors used longitudinal interpretative phenomenological analysis (LIPA).FindingsBeing aware of the limits of resources emerged as a key factor in how trailing spouses develop and maintain relationships with friends and extended family. The fact that the pandemic changed the dynamics of their social networks illuminates how crucial these relationships or their absence are in their adjustment and readjustment process. Children play a significant role in these relationships.Research limitations/implicationsComparative research into the friendships and relationships of different groups of trailing spouses in various locations could capture more specificity of the relationship dynamics.Practical implicationsThe explored patterns can promote a better understanding of the relationship dynamics of trailing spouses' networks, which can, in turn, support and facilitate both adjustment and repatriation processes. They can help explain how and what kind of social networks best support trailing spouse transition during a time of crisis or adjustment. These findings could be incorporated into intercultural training programs.Originality/valueNo current study that the authors know of has explored trailing spouses' relationship dynamics in a longitudinal study before and during a crisis.
How strategic knowledge hiding drives competitive individuals to establish research superiority: a case in UK Business Schools
Authors: Mahamed Ismail Ashmiza , Welch Christine Elizabeth 
Published: February 2023

Purpose
Why and when people working in organisations hide their knowledge has received considerable academic attention. However, little attention has been paid to knowledge hiding in academia itself, even though universities are known as places where knowledge is shared. This study aims to consider the dilemma faced by academics when undertaking research work: should they share or hide what they are doing?

Design/methodology/approach
Using empirical evidence drawn from 20 academics in a number of UK Business Schools, the authors carried out in-depth interviews to investigate the effects of strategic knowledge hiding (SKH) on research knowledge work. The authors argue that SKH can drive competitive individuals to establish research superiority.

Findings
The findings revealed that most respondents have, for strategic reasons, hidden their tacit and/or explicit knowledge from others during ongoing research processes, but have, at the same time, purposefully sought for knowledge from targeted colleagues.

Originality/value
The findings extend the previous literature by revealing not only the distinctive individual antecedents of SKH but also its positive outcomes. The findings illustrate a pioneering contribution of a systematic model of SKH among university business school academics.
The writing is on the wall: predicting customers' evaluation of customer-firm interactions using computerized text analysis
Authors: Ferreira Caitlin , Robertson Jeandri , Chohan Raeesah , Pitt Leyland , Foster Tim 
Published: February 2023

PurposeThis methodological paper demonstrates how service firms can use digital technologies to quantify and predict customer evaluations of their interactions with the firm using unstructured, qualitative data. To harness the power of unstructured data and enhance the customer-firm relationship, the use of computerized text analysis is proposed.Design/methodology/approachThree empirical studies were conducted to exemplify the use of the computerized text analysis tool. A secondary data analysis of online customer reviews (n = 2,878) in a service industry was used. LIWC was used to conduct the text analysis, and thereafter SPSS was used to examine the predictive capability of the model for the evaluation of customer-firm interactions.FindingsA lexical analysis of online customer reviews was able to predict evaluations of customer-firm interactions across the three empirical studies. The authenticity and emotional tone present in the reviews served as the best predictors of customer evaluations of their service interactions with the firm.Practical implicationsComputerized text analysis is an inexpensive digital tool which, to date, has been sparsely used to analyze customer-firm interactions based on customers' online reviews. From a methodological perspective, the use of this tool to gain insights from unstructured data provides the ability to gain an understanding of customers' real-time evaluations of their service interactions with a firm without collecting primary data.Originality/valueThis research contributes to the growing body of knowledge regarding the use of computerized lexical analysis to assess unstructured, online customer reviews to predict customers' evaluations of a service interaction. The results offer service firms an inexpensive and user-friendly methodology to assess real-time, readily available reviews, complementing traditional customer research. A tool has been used to transform unstructured data into a numerical format, quantifying customer evaluations of service interactions.
The lens of Yin-Yang philosophy: the influence of paradoxical leadership and emotional intelligence on nurses’ organizational identification and turnover intention
Authors: Lo Wei-Yuan , Lin Yu-Kai , Lee Hsiang-Ming , Liu Tsui-Yau 
Published: February 2023

PurposeThis study aims to use “both–and” thinking of Yin-Yang philosophy to extend the field of leadership literatures and explore the influences of paradoxical leadership and emotional intelligence on organizational identification and turnover intentions of nurses.Design/methodology/approachThe authors adopted a cross-sectional survey completed by 285 nurses in Taiwan. SPSS 22, PROCESS and AMOS 21 were used for data analysis.FindingsThe results reveal that paradoxical leadership has a significant positive relationship with nurses’ organizational identification and a significant negatively relationship with their turnover intentions, and organizational identification partially mediated the relationship between paradoxical leadership and turnover intentions. The results further show that emotional intelligence strengthens the effect of paradoxical leadership on organizational identification, and paradoxical leadership had a stronger indirect effect on turnover intentions through organizational identification under strong emotional intelligence.Originality/valueParadoxical leadership can strengthen managers’ abilities in dealing with interrelated and substantial issues and correspond to organizing and belonging paradoxes in holistic thinking processes. Health-care organizations must shape a coordinated institution and offer training initiatives to increase managers’ ability and attitude to control organizational rules and procedures while allowing employees’ flexibility and autonomy according to the requirements of the situation, which will maintain both organizational short-term benefits and long-term growth.
Coproducing leadership: a reason to resist destructive leaders
Authors: Almeida Teresa , Ramalho Nelson , Esteves Francisco 
Published: February 2023

PurposeFollower's individual differences have been receiving increased attention in studying destructive leadership because followers may enable or disable it. One of these yet under-researched features is the role of followers' leadership coproduction beliefs (a role construal) in explaining their resistance to destructive leaders. Departing from the proactive motivation theory, this paper explores the robustness of coproduction beliefs by testing its ability to predict followers' resistance to destructive leaders across four situations – abusive supervision, exploitative leadership, organization directed behaviors and laissez-faire.Design/methodology/approachWith a sample of 359 participants that answered a scenario-based survey, the present study tests the relationship between coproduction beliefs and resistance behaviors in the four mentioned groups, while controlling for alternative explanations. A multigroup analysis was conducted with PLS-SEM.FindingsConstructive resistance is always favored by coproduction beliefs independently of the leader's type of destructive behavior. Dysfunctional resistance, however, is sensitive to the leader's type of destructive behavior.Originality/valueThis paper extends knowledge on the role of coproduction beliefs as an individual-based resource against destructive leaders.
Airborne inoculum dynamics of Polystigma amygdalinum and progression of almond red leaf blotch disease in Catalonia, NE Spain
Authors: Pons‐Solé Gemma , Miarnau Xavier , Torguet Laura , Lázaro Elena , Vicent Antonio , Luque Jordi 
Published: February 2023

AbstractThe dynamics of airborne ascospores and disease progress of red leaf blotch (RLB) of almond, caused by Polystigma amygdalinum, and their correlations with weather variables were studied from 2019 to 2021 in two almond orchards located in Lleida, NE Spain. Airborne ascospores were detected and quantified by real‐time qPCR using species‐specific primers for P. amygdalinum. Ascospores were detected mainly from April to June, with a high variability between the yearly cumulative concentrations. Positive significant correlations were found between the weekly proportion of airborne ascospores and the number of wet and mild days—either combined or separated— accumulated rainfall, number of rainy days, accumulated low temperatures on wet days, and mean and maximum relative humidity. In contrast, several thermal variables (maximum temperature, VPD, and number of warm days) were negatively correlated with ascospore catches. Positive significant correlations were found between the cumulative proportion of ascospores and RLB incidence and severity. Weekly variations in RLB incidence and severity showed significant positive correlations with the number of warm days while negative with the number of mild days. Severity was also positively correlated with several thermal variables (mean, maximum, and minimum temperature, and VPD), and negatively correlated with the number of cold days and wet and mild days. Stronger correlations were generally found with ascospore catches or disease progress when using concurrent weekly weather data. Gompertz, monomolecular, and logistic growth models were evaluated to describe RLB disease progress.
Full‐length transcriptome sequencing reveals extreme incomplete annotation of the goat genome
Authors: Zhang Huanhuan , Liang Yilin , Chen Shaomei , Xuan Zeyi , Jiang Yu , Li Ran , Cao Yanhong 
Published: February 2023

AbstractDespite recent advances in generating high‐quality reference genome assemblies, the genome sequences for most livestock species, including goats, are still poorly annotated. Single‐molecule long‐read sequencing has greatly facilitated gene annotation by obtaining full‐length transcripts. In this study, we generated full‐length transcriptome data for samples from abomasum (n = 2) and testicle (n = 1), using PacBio Iso‐Seq technology. We further combined these data with published data from abomasum (5ZY, SRR8618141) to evaluate and improve the gene annotation of the goat genome. We identified 14.5–16.3% of novel genes per sample from the four Iso‐Seq datasets. At the transcript level, 40.6% of them were novel, including 29.7% novel transcripts from known genes and 10.9% from novel genes. We further verified the expression of novel genes in four additional RNA‐seq data and found that the expression level of novel genes was significantly lower than that of known genes, indicating that the lowly expressed genes tend to be missed in the current genome annotation. This study shows the superiority of full‐length transcriptome data in gene annotation, and more such data are required to improve the gene annotation for goat genome and other species.
Implementation of a relapse prevention program among smokers undergoing arthroplasty: lessons learned
Authors: Wilker Olivia G. , Stevens Elizabeth R. , Gold Heather T. , Haber Yaa , Slover James D. , Sherman Scott E. 
Published: February 2023

AbstractBackgroundSurgery is a potent motivator to help people quit smoking to reduce the risk of complications. Many patients who smoke receive tobacco cessation counseling prior to surgery and are able to quit, but do not receive the same resources after surgery and often resume smoking.MethodsWe present a case study describing the recruitment process, study components, and lessons learned from StayQuit, a comprehensive relapse prevention program designed to prevent relapse after arthroplasty. Lessons learned were examined post hoc to determine challenges related to program implementation, using existing study procedures and information collected.ResultsWhile a comprehensive postoperative relapse prevention program may be beneficial to patients, implementation of StayQuit is unlikely to be feasible under current circumstances. The primary challenges to successful implementation of StayQuit focused on themes of lack of engagement in the preoperative Orthopedic Surgery Quit Smoking Program (OSQSP) and an environment unfavorable to in‐person enrollment on the day of surgery.ConclusionsPostoperative relapse prevention programs may be beneficial for patients who quit smoking prior to elective surgery. To help guide implementation, it is important to consider surgeon behavior, the collaboration of clinical and non‐clinical teams, and best practices for study enrollment in surgical settings.
Early onset colorectal cancer in Canterbury, New Zealand
Authors: Thompson Nasya , Gatenby Grace , Waddell Oliver , Purcell Rachel , Keenan Jacqui , Pearson John F. , Frizelle Francis , Glyn Tamara 
Published: February 2023

AbstractBackgroundThe overall incidence of colorectal cancer is decreasing in much of the world, yet the incidence in those under 50 years of age is increasing (early onset colorectal cancer (EOCRC)). The reasons for this are unclear. This study was undertaken to describe the clinical, pathological and familial characteristics of patients with EOCRC and their oncological outcomes and compare this with previously published data on late onset colorectal cancer (LOCRC).MethodsA retrospective review of all patients diagnosed with EOCRC in Canterbury between 2010 and 2017 was conducted. Data was collected on demographics, family history, treatment, and oncologic outcomes. Kaplan–Meier survival curves were calculated to assess overall survival based on disease stage.ResultsDuring the study period (2010–2017) there were 3340 colorectal cancers diagnosed in Canterbury, of which 201 (6%) were in patients under 50 years (range: 17–49). Of these, 87 (43.3%) were female and 125 (62.2%) were aged between 40 and 49 years. 28 (13.9%) were associated with hereditary conditions. Of the 201 patients, 139 (69.2%) had rectal or left‐sided cancers. 142 (70.6%) patients presented with either stage 3 or 4 disease and the 5‐year overall survival by stage was 79.1% and 14.4%, respectively.ConclusionEOCRC is increasing and usually presents as distal left sided cancers, and often at an advanced stage. They do not appear to have the common risk factors of family history or inherited pre‐disposition for colorectal cancer. Planning by healthcare providers for this epidemiological change is imperative in investigating symptomatic patients under 50 and optimizing early detection and prevention.