bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanistic insights into the role of Ca2+-stimulated AMPK in the secretion of cellulases during carbon stress
Authors: Randhawa Anmoldeep , Sinha Tulika , Das Maitreyee , Ogunyewo Olusola A. , Jawed Kamran , Yazdani Syed Shams 
Published: January 2023

AbstractThe response of filamentous fungi towards recalcitrant carbohydrates is majorly governed by transcriptional activators of cellulase genes; however, little is known about the downstream events beyond transcription. We show here inPenicillium funiculosumthat increasing the expression of a transcriptional activator CLR-2 in the catabolically derepressed strain, ΔMig1, didn’t exhibit a synergistic effect on cellulase production unless Ca2+was simultaneously increased. The RNA-seq screen for Ca2+-activated kinases identified SNF1-AMPK and SSP1-AMPKK as being specific to cellulose induction. Deletion ofsnf1led to negligible secretion of cellulase upon induction. Quantitative whole-cell proteomics followed by chemical-genetic experiments withsnf1-deleted strain showed that Ca2+-signaling channelizes carbon, nitrogen and energy sources towards cellulase production. Further, Ca2+-signaling phosphorylates SNF1-AMPK via SSP1, which in turn downregulates the phospho-HOG1 levels, leading to stimulus for cellulase secretion during carbon stress. The findings reported here are significant for understanding fungal pathology and developing second-generation biorefineries.
The configurational effects of centrifugal and centripetal forces on firms' breakthrough innovation and strategic performance in the artificial intelligence context
Authors: Yu Jun , Wen Qian , Xu Qin 
Published: January 2023

PurposeThe purpose of this study is to empirically explore how firms configure centrifugal and centripetal forces in promoting breakthrough innovation (BI), thus improving their strategic performance (SP) in the artificial intelligence (AI) context.Design/methodology/approachThis study applies the centrifugal and centripetal forces model to a survey sample of 285 Chinese AI firms. Fuzzy-set qualitative comparative analysis (fsQCA) and propensity score matching (PSM) are integrated to explore the configurational effects of three centrifugal forces—the autonomy of technical experts, knowledge search and alliance network—and two centripetal forces—strictness of organisational institutions (SOI) and human–human–AI collaboration (HHAC)—on BI, examining whether the configurations that enhance BI can further improve SP.FindingsThe results indicate that the strictness of innovation institutions (SII) and strictness of ethical institutions (SEI) are equally important for determining SOI. Three configurations can improve BI when SOI and HHAC are the core conditions; only one of three configurations can further improve SP significantly.Originality/valueBy introducing SOI composed of equally important levels of SII and SEI and HHAC, this research is one of the few empirical studies to explore the mechanisms behind the impact of centrifugal and centripetal forces on BI and SP, which may help researchers and managers address innovation challenges in the AI context.
The landscape of research data management services in Malaysian academic libraries: librarians’ practices and roles
Authors: Amanullah Siti Wahida , Abrizah A. 
Published: January 2023

Purpose
The debate about academic librarians’ roles in research data management (RDM) services is currently relevant, especially in the context of making research data findable, accessible, interoperable and reproducible. This study aims to explore the RDM services offered by Malaysian academic libraries and the implementation progress based on the librarians’ practices and roles.

Design/methodology/approach
This descriptive study involves three sequential forms of data collection: a website analysis of 20 academic libraries relating to RDM services, training and policy; an online survey of the academic libraries’ RDM implementation progress; and semi-structured interviews with three academic librarians to gauge their practices and roles in RDM services.

Findings
Malaysian academic libraries provide RDM services based on their related or basic skills which are bibliographic management tools, institutional repository and openness of research data rather than impacted services to support RDM, such as data analysis, data citation, data mining or data visualisation services. Although the librarians were aware of RDM and their roles in research data services, the progress of practicing and implementation of the RDM services still has not been fully delivered to support the main RDM elements.

Practical implications
This study illustrates the RDM roadmap on the current landscape of areas and types of services that the libraries are doing well. The list of services can be used and implemented as the best practices or strategies to be applied within Malaysian academic libraries.

Originality/value
This study highlights the gaps of RDM services in Malaysian academic libraries. To the best of the authors’ knowledge, as this is the first study in Malaysia that articulates the case of RDM services in academic libraries, it has paved the way for further research.
Employing the houseless as corporate social responsibility
Authors: Smith Nicholas A. , Martinez Larry R. , Xu Shi (Tracy) , Mattila Anna , Gao Lisa Yixing 
Published: January 2023

Purpose
Many hospitality organizations see the benefits of engaging in corporate social responsibility (CSR), which can take many forms. This study aims to examine one relatively unique form of CSR: hiring individuals experiencing houselessness. This research aimed to investigate the impact of hiring individuals experiencing houselessness on customers’ behavioral intentions, attitudes toward an organization and perceptions of CSR actions.

Design/methodology/approach
Across two experiments, this study investigated the impact of employing individuals experiencing houselessness on customers’ perceptions of the employee and organization using organizational legitimacy theory.

Findings
Results demonstrate that employees known to be houseless elicited more positive employee and organizational perceptions from the customers, mediated by CSR perceptions. In addition, the gender of the employees or the quality of the organization did not impact these findings.

Practical implications
Hospitality and tourism organizations should consider using available resources or tax benefits to make a deliberate effort to employ those experiencing houselessness.

Originality/value
Using organizational legitimacy theory, this study examines CSR perceptions as a potential explanatory mechanism between houselessness and customers’ reactions.
Empirical evidence of SMEs' ecopreneurship posture, green competitiveness and community-based performance: the neglected missing linkages of green practices
Authors: Afum Ebenezer , Agyabeng-Mensah Yaw , Baah Charles , Acquah Innocent Senyo Kwasi , Osei Martin Boakye 
Published: January 2023

PurposeThe purpose of this paper is to investigate the direct and mediation effects of small- and medium-sized enterprises' (SMEs) ecopreneurship posture (EP), green inbound practices (GIP), green production practices (GPP), green outbound practices (GOP), community-based performance (CBP) and green competitiveness (GC).Design/methodology/approachEmpirical data for the study were garnered by utilizing questionnaire from Ghanaian manufacturing SMEs. Structural equation modeling, specifically partial least squares is applied to test the hypothesized relationships.FindingsThe findings suggest that SMEs' EP, GIP and GPP have significant positive effects on CBP and GC. However, while GOP has a significant effect on GC, it has no significant effect on CBP. Moreover, the mediation result demonstrates that while GIP and GPP significantly mediates the relationship between SMEs' EP and CBP, GOP does not provide any mediation mechanism through which SMEs' EP influence CBP. The result further confirms the mediation roles of GIP, GPP and GOP between SMEs' EP and GC.Originality/valueThis research offers novel empirical evidence by exploring the mediation roles of GIP, GPP and GOP between EP, CBP and GC through the lenses of the natural resource-based view and stakeholder theoretical perspectives.
Robust optimization design method for structural reliability based on active-learning MPA-BP neural network
Authors: Dong Zhao , Sheng Ziqiang , Zhao Yadong , Zhi Pengpeng 
Published: January 2023

PurposeMechanical products usually require deterministic finite element analysis in the design phase to determine whether their structures meet the requirements. However, deterministic design ignores the influence of uncertainties in the design and manufacturing process of mechanical products, leading to the problem of a lack of design safety or excessive redundancy in the design. In order to improve the accuracy and rationality of the design results, a robust design method for structural reliability based on an active-learning marine predator algorithm (MPA)–backpropagation (BP) neural network is proposed.Design/methodology/approachThe MPA was used to obtain the optimal weights and thresholds of a BP neural network, and an active-learning function applicable to neural networks was proposed to efficiently improve the prediction performance of the BP neural network. On this basis, a robust optimization design method for mechanical product reliability based on the active-learning MPA-BP model was proposed. Random moving quadrilateral sampling was used to obtain the sample points required for training and testing of the neural network, and the reliability sensitivity corresponding to each sample point was calculated by subset simulated significant sampling (SSIS). The total mass of the mechanical product and the structural reliability sensitivity of the trained active-learning MPA-BP model output were taken as the optimization objectives, and a multi-objective reliability-robust optimization design model was constructed, which was solved by the second-generation non-dominated ranking genetic algorithm (NSGA-II). Then, the dominance function was used in the obtained Pareto solution set to make a dominance-seeking decision to obtain the final reliability-robust optimization design solution. The feasibility of the proposed method was verified by a reliability-robust optimization design example of the bogie frame.FindingsThe prediction error of the active-learning MPA-BP neural network was smaller than those of the particle swarm optimization (PSO)-BP, marine predator algorithm (MPA)-BP and genetic algorithm (GA)-BP neural networks under the same basic parameter settings of the algorithm, which indicated that the improvement strategy proposed in this paper improved the prediction accuracy of the BP neural network. To ensure the reliability of the bogie frame, the reliability sensitivity and total mass of the bogie frame were reduced, which not only realized the lightweight design of the bogie frame, but also improved the reliability and robustness of the bogie.Originality/valueThe MPA algorithm with a higher optimization efficiency was introduced to find the weights and thresholds of the BP neural network. A new active-learning function was proposed to improve the prediction accuracy of the MPA-BP neural network.
Hospitality management in times of crisis: a corporate social responsibility perspective
Authors: Alsheyab Mousa , Filimon Nela , Fusté-Forné Francesc 
Published: January 2023

Purpose
From a hospitality and tourism perspective, the purpose of this study is to analyse the case of Jordan by looking at the implementation of corporate social responsibility (CSR) practices in the hospitality industry and their contribution to the management of the pandemic crisis, with a special focus on large hotels.

Design/methodology/approach
The method focuses on a qualitative study based on ten in-depth interviews with senior managers of five-star hotels in Jordan, fully used as quarantine facilities during the COVID-19 pandemic.

Findings
The study reveals how and why the implementation of CSR practices contributes to the crisis management in Jordan, also highlighting the role of the managers and the hotels’ organizational cultures.

Originality/value
Drawing from the unique case of Jordan, to the best of the authors’ knowledge, this is the first study which analyses the close relationships between crisis and hospitality management from a CSR perspective, and the impact of organizational cultures and ethical strategies on local stakeholders.
Contextual imperatives for effective shared instructional leadership: a fuzzy-set qualitative comparative analysis
Authors: Zhan Xi , Cao Min 
Published: January 2023

PurposePrincipal instructional leadership and teacher participation in decision-making are conceptualized as shared instructional leadership (SIL) – a management philosophy that positively impacts student academic performance. However, the statistically meaningful relationship between SIL and student performance remains controversial as SIL functioning is influenced by various fundamental school conditions shaped by education policy, including high-stakes accountability, school autonomy and teacher professionalization. The authors examined the relationship between three SIL policy configurations and promising student performance: inclusion, exclusion and insensitive to SIL.Design/methodology/approachThe authors used fuzzy-set qualitative comparative analysis on data obtained from the Program for International Student Assessment (2015) results, including principals' responses to leadership questions and school conditions shaped by policy, and student science scores in 64 countries and areas.FindingsThe role of SIL in student performance varied among the three configurations, and the condition of teacher professionalization in the configuration was consistently associated with high student performance.Originality/valueSIL can create conditions for continued professional development of the teaching workforce in conjunction with school conditions shaped by policy.
Leader failed humor and follower advice seeking
Authors: Ji Xiaode , Liu Shengming , Wang Hui 
Published: January 2023

PurposeDrawing on benign violation theory (BVT), this paper aimed to investigate the underlining mechanism and boundary condition of the relationship between follower perception of leader failed humor and follower advice seeking.Design/methodology/approachA three-wave survey with 256 leader-follower dyads and an online experiment with 117 participants were conducted to test the hypotheses.FindingsThe results showed that leader failed humor decreased follower liking toward leader and subsequently reduced follower advice seeking. Moreover, this negative relationship was exacerbated when leader and follower had infrequent interaction.Originality/valueExisting research has encouraged leaders to use humor to build and maintain successful interpersonal relationships. However, the situation that a leader may fail when attempting to present humor is neglected. This study advances the concept of leader failed humor and explores its subsequent consequences.
Contextual analysis of scholarly communications to identify the source of disinformation on digital scholarly platforms
Authors: Desai Mitali , Mehta Rupa G. , Rana Dipti P. 
Published: January 2023

PurposeScholarly communications, particularly, questions and answers (Q&A) present on digital scholarly platforms provide a new avenue to gain knowledge. However, several studies have raised a concern about the content anomalies in these Q&A and suggested a proper validation before utilizing them in scholarly applications such as influence analysis and content-based recommendation systems. The content anomalies are referred as disinformation in this research. The purpose of this research is firstly, to assess scholarly communications in order to identify disinformation and secondly, to help scholarly platforms determine the scholars who probably disseminate such disinformation. These scholars are referred as the probable sources of disinformation.Design/methodology/approachTo identify disinformation, the proposed model deduces (1) content redundancy and contextual redundancy in questions (2) contextual nonrelevance in answers with respect to the questions and (3) quality of answers with respect to the expertise of the answering scholars. Then, the model determines the probable sources of disinformation using the statistical analysis.FindingsThe model is evaluated on ResearchGate (RG) data. Results suggest that the model efficiently identifies disinformation from scholarly communications and accurately detects the probable sources of disinformation.Practical implicationsDifferent platforms with communication portals can use this model as a regulatory mechanism to restrict the prorogation of disinformation. Scholarly platforms can use this model to generate an accurate influence assessment mechanism and also relevant recommendations for their scholars.Originality/valueThe existing studies majorly deal with validating the answers using statistical measures. The proposed model focuses on questions as well as answers and performs a contextual analysis using an advanced word embedding technique.
The differential pricing of cash flows and total accruals
Authors: Mostafa Wael 
Published: January 2023

PurposeRecent studies on the securities market's differential pricing of earnings components indicate that cash flows from operations are valued more highly than extreme total accruals. However, no previous study has examined whether cash flows from operations have a higher valuation than moderate total accruals. Therefore, this study examines the securities market's differential pricing of cash flows from operations and both moderate and extreme total accruals.Design/methodology/approachThe study's sample is divided into two sub-samples: a moderate total accruals sub-sample; and an extreme total accruals sub-sample. To evaluate whether cash flows have a higher valuation when compared to total accruals, for the entire sample and for each of the two sub-samples, the study examines the statistical significance of the difference between slope coefficients of cash flows and total accruals for regression of returns on both unexpected cash flows from operations and unexpected total accruals.FindingsConsistent with prior research, results from the entire sample show a differential higher valuation of cash flows when compared to total accruals. Another finding, consistent with recent studies, is that cash flows from operations have a higher valuation when compared to extreme total accruals. However, there is no higher differential valuation of cash flows over moderate total accruals. These findings support the decomposition of earnings into the components of cash flows from operations and total accruals only when total accruals are extreme (rather than moderate).Practical implicationsA possible explanation for these results is that since accruals predict cash flows, total accruals – when moderate (i.e. not extreme) – are priced similarly to cash flows. These results reveal that when total accruals are moderate, earnings are a better proxy for the underlying cash flows (over the entire future horizon, not just the current period) than is cash flows. However, since total accruals are unlikely to persist in a permanent way over the years, these results indicate that the decomposition of earnings into the components of cash flows from operations and total accruals is consistent with the information set used to value equity securities. Therefore, separate disclosure of cash flows is value relevant. In addition, users of financial statements certainly need the cash flows information as an ex-post validation of the prior earnings.Originality/valueThis study's contribution stems from its determination of the preferred level of disaggregation of earnings components (i.e. operating cash flows and total accruals). This is expected to help investors in their attempt to enhance the outcome of their informed investment and credit decisions.
Social sustainability reporting in European business schools
Authors: Vila Mar , Moya Soledad 
Published: January 2023

Purpose
This study aims to explore the social sustainability reporting (SR) of top European business schools to illustrate and discuss their practices and the associated challenges.

Design/methodology/approach
For the top 20 European business schools, content and thematic analyses were used to investigate reports concerning social sustainability and data from semi-structured interviews. Reports from the past three years (typology, framework, channels of communication and frequency) were analysed, including content on social issues in the past period and the challenges faced by managers regarding social SR.

Findings
Social SR in the top 20 European business schools is heterogeneous and the main challenges are the lack of specific frameworks and resources, the amount of data that must be collected and the complexity of measuring social impact. Diversity and equality, society issues, ethical integrity and human rights with respect to students, partners and organizations are the most relevant social contents.

Practical implications
Business schools need to debate ways of promoting social sustainability and to adapt procedures and technology to communicate their social sustainability strategies and impacts. It offers an improved understanding to regulatory institutions that can allow them to establish standards and a foundation for future research that can refine or generalize the findings of this study.

Social implications
Measuring and reporting social sustainability issues are relevant challenges for business schools that are working on social sustainability aspects.

Originality/value
The originality of this study lies in the discussion on current social SR practices at business schools, and their responsibilities regarding the development of a more sustainable society in a changing regulatory context.