bluuebunny/crossref_metadata_2025_split huggingface dataset:
Control ofC. elegansgrowth arrest by stochastic, yet synchronized DAF-16/FOXO nuclear translocation pulses
Authors: Demirbas Burak , Filina Olga , Louisse Timo , Goos Yvonne , Sánchez-Romero María Antonia , Olmedo María , van Zon Jeroen 
Published: July 2023

SummaryFOXO transcription factors are highly conserved effectors of insulin and insulin-like growth factor signaling, that are crucial for mounting responses to a broad range of stresses. Key signaling step is the stress-induced translocation of FOXO proteins to the nucleus, where they induce expression of stress response genes. Insulin signaling and FOXO proteins often control responses that impact the entire organism, such as growth or starvation-induced developmental arrest, but how body-wide coordination is achieved is poorly understood. Here, we leverage the small size of the nematodeC. elegans, to quantify translocation dynamics of DAF-16, the soleC. elegansFOXO transcription factor, with single-cell resolution, yet in a body-wide manner. Surprisingly, when we exposed individual animals to constant levels of stress that cause larval developmental arrest, DAF-16/FOXO translocated between the nucleus and cytoplasm in stochastic pulses. Even though the occurrence of translocation pulses was random, they nevertheless exhibited striking synchronization between cells throughout the body. DAF-16/FOXO pulse dynamics were strongly linked to body-wide growth, with isolated translocation pulses causing transient reduction of growth and full growth arrest observed only when pulses were of sufficiently high frequency or duration. Finally, we observed translocation pulses of FOXO3A in mammalian cells under nutrient stress. The link between DAF-16/FOXO pulses and growth provides a rationale for their synchrony, as uniform proportions are only maintained when growth and, hence, pulse dynamics are tightly coordinated between all cells. Long-range synchronization of FOXO translocation dynamics might therefore be integral also to growth control in more complex animals.
Effects of climate CSA and CSR messaging: the moderating role of green consumer identity
Authors: Troy Cassandra L.C. , Norman Megan L.P. , Eng Nicholas , Freeman Jason , Bortree Denise S. 
Published: July 2023

PurposeThe purpose of this experimental study is to examine the effects of climate change corporate social responsibility (CSR) and corporate social advocacy (CSA) messages on public perceptions of companies and collective action intentions.Design/methodology/approachThis study employs a 2 (message type: CSA vs CSR) × 2 (environmental issue: single-use plastics vs renewable energy) × 2 (company: Target vs Walmart) plus control online experimental design.FindingsThere were no main effects of message type on outcomes; however, green consumer identity moderated the relationship between message type and green purchase intention as well as negative word-of-mouth.Originality/valueThis study responds to calls by scholars to empirically compare the effects of CSR and CSA messages. Additionally, we consider group-level processes, like ingroup identity, in influencing strategic communication outcomes.
IndiGo Airlines in India: managing “moments of truth”
Authors: Jayakumar Tulsi , Dwivedi Vineeta 
Published: July 2023

Learning outcomes
The learning outcomes of this study are as follows:▪ to analyze service attributes that influence customers’ decisions to purchase services;▪ to identify the factors that influence customers’ perceptions of service quality;▪ to identify the “moments of truth” that the service provider (IndiGo) would need to monitor and manage through the service encounter; and▪ to use the Servuction model to analyze the various elements of the service process.

Case overview/synopsis
In May 2022, the chief executive officer of IndiGo Airlines - India’s largest passenger airline by market share, Ronojoy Dutta, faced flak over the airline staff's handling of a specially abled child travelling with his parents on IndiGo Airlines. The staff member, reacting to the tantrums of the disturbed child, had refused to allow the boy and his parents to board the flight. He had cited the “risk to other passengers” from the boy as the reason for such a refusal (Biswas, 2022). In spite of the boy’s parents being supported by their fellow passengers, the IndiGo staff member refused to relent, and the flight took off without the trio (Firstpost, 2022). The incident goes viral when a fellow flyer shares a Facebook post describing it first-hand and provokes widespread condemnation of the nation's “preferred airline” (IndiGo, 2023) by citizens and politicians on various social media platforms besides Facebook (Gupta, 2022). Dutta initially supports his employee even as he issues a statement expressing his regret at the “unfortunate incident” (Business Standard, 2022a). The regulatory body for aviation in India, the Directorate General of Civil Aviation, imposes a fine of INR 5 lakh on IndiGo for denying boarding to a specially abled child (Indian Express, 2022). How could an incident like this impact the perception of IndiGo’s service quality? How could Dutta better ensure that IndiGo managed the various touch points with the customer over the entire service encounter – the “moments of truth”? How could he prevent such a fiasco in the future, ensuring that IndiGo remains India’s “preferred airline”?

Complexity academic level
This case is intended to be taught in an undergraduate or MBA marketing course in a module on service marketing. The case can also form a 90-min module in a service marketing course within an advanced management or executive education program.

Supplementary materials
Teaching Notes are available for educators only.

Subject code
CCS 8: Marketing.
Can social capital and planned behaviour favour an increased willingness to share scientific data? Evidence from data originators
Authors: Zhi Fengwen , Zhang Meng , Zhang Shuaijie , Cheng Congyuan , Shen Tao 
Published: July 2023

Purpose
This study aims to reveal the factors that drive researchers to share data and to provide reference for promoting open scientific data.

Design/methodology/approach
Based on the theory of social capital and the theory of planned behaviour, hypotheses were proposed and the model was developed. The authors acquired 479 valid samples of Chinese researchers through questionnaires and conducted an empirical analysis via AMOS 23.0.

Findings
Attitudes towards data sharing are significantly and positively correlated with trust, reciprocity and social interaction, but not with a shared vision; willingness to share data is significantly and positively correlated with attitudes and perceived behavioural control, but not with subjective norms; furthermore, data quality, which performed the function of a moderating variable, was found to play a facilitating role in the above correlations. Based on the findings, suggestions for relevant entities were specified.

Originality/value
The study developed and validated an integrated theoretical framework, clarified the mechanism by which social capital and planned behaviour affect willingness to share data, hoping to provide reference and empirical support for subsequent studies as well as new ideas for data management and sharing.
Artificial neural network simulation and sensitivity analysis for optimal thermal transport of magnetic viscous fluid over shrinking wedge via RSM
Authors: Zeeshan A. , Khan Muhammad Imran , Ellahi R. , Asghar Zaheer 
Published: July 2023

PurposeThis study aims to model the important flow response quantities over a shrinking wedge with the help of response surface methodology (RSM) and an artificial neural network (ANN). An ANN simulation for optimal thermal transport of incompressible viscous fluid under the impact of the magnetic effect (MHD) over a shrinking wedge with sensitivity analysis and optimization with RSM has yet not been investigated. This effort is devoted to filling the gap in existing literature.Design/methodology/approachA statistical experimental design is a setup with RSM using a central composite design (CCD). This setup involves the combination of values of input parameters such as porosity, shrinking and magnetic effect. The responses of skin friction coefficient and Nusselt number are required against each parameter combination of the experimental design, which is computed by solving the simplified form of the governing equations using bvp4c (a built-in technique in MATLAB). An empirical model for Cfxand Nuxusing RSM and ANN adopting the Levenberg–Marquardt algorithm based on trained neural networks (LMA-TNN) is attained. The empirical model for skin friction coefficient and Nusselt number using RSM has 99.96% and 99.99% coefficients of determination, respectively.FindingsThe values of these matrices show the goodness of fit for these quantities. The authors compared the results obtained from bvp4c, RSM and ANN and found them all to be in good agreement. A sensitivity analysis is performed, which shows that Cfxas well as Nuxare most affected by porosity. However, they are least affected by magnetic parameters.Originality/valueThis study aims to simulate ANN and sensitivity analysis for optimal thermal transport of magnetic viscous fluid over shrinking wedge.
Examining toxic leadership, pay satisfaction and LMX among nurses: evidence from Ghana
Authors: Dartey-Baah Kwasi , Quartey Samuel Howard , Asante Kwame Gyeabour 
Published: July 2023

PurposeThe purpose of this paper is to establish a relationship between pay satisfaction and leader–member relationship and examine pay satisfaction as a moderator of the relationship between toxic leadership and LMX among public sector nurses in Ghana.Design/methodology/approachUsing a cross-sectional survey approach, the authors used questionnaires to collect data from 225 nurses working in public hospitals in Ghana. The hypotheses were tested using covariance-based structural equation modelling.FindingsThe results of this study revealed that pay satisfaction levels of nurses had an influence on leader–member exchange (LMX). The results further showed that pay satisfaction as a moderator of the relationship between toxic leadership and LMX was not statistically significant.Research limitations/implicationsCross-sectional surveys are often criticised for causality issue. The causality issue here is that the link between toxic leadership, pay satisfaction and LMX was explored at a given point in time and ignores changes through time.Practical implicationsHospitals must encourage their leaders to demonstrate more supportive and positive behaviours to foster positive leader–member relationships. Maladjusted, malcontent and malevolent leadership behaviours are dangerous for nurses and hospitals and can be addressed through leadership training and development.Social implicationsToxic leadership has considerable organisational costs of low productivity and negative work relationship at the workplace. The indirect effects of toxic leadership at the workplace on employees’ families and friends are often silent in organisations.Originality/valueNurses have been ignored in toxic leadership research in emerging economies. LMX is extended to examine toxic leadership and pay satisfaction in public hospitals in an emerging economy.
Lean Six Sigma and Industry 4.0 – a bibliometric analysis and conceptual framework development for future research agenda
Authors: Citybabu G. , Yamini S. 
Published: July 2023

PurposeThe purpose of this paper is to investigate the research landscape of LSS 4.0 papers published in two well-known repositories, Scopus and Web of Science (WoS), in terms of publication trends, article distribution by author, journal, affiliations and country, and article clustering based on keywords, authors and countries. In addition, a literature review was carried out to build a conceptual framework of integrated Lean Six Sigma and Industry 4.0 (LSS 4.0) that encompasses operational, sustainability and human factors or ergonomics aspects.Design/methodology/approachThe literature review of integrated Lean Six Sigma and I4.0 publications published in Scopus and WoS databases in the current decade was conducted for the present study. This study categorizes LSS, I4.0 and related research articles based on publication patterns, journals, authors and affiliations, country and continental-wise distribution and clustering the articles based on keywords and authors from the Scopus and WoS databases from 2011 to 2022 using the search strings “Lean”, “Six Sigma”, “Lean Six Sigma” and “Industry 4.0” in the Title, Abstract and Keywords using Biblioshiny, VOS viewer and Microsoft Excel.FindingsIn the recent three years, from 2020 to 2022, LSS 4.0 has been substantially increasing and is seen as an emerging and trending area. This research identifies the most influential authors, most relevant affiliations, most prolific countries and most productive journals and clusters based on keywords, authors and countries. Further, a conceptual framework was developed that includes the impact of operational, sustainability and ergonomic or human factors in LSS 4.0.Research limitations/implicationsThis article assists in comprehending the trends and patterns of LSS 4.0. Further, the conceptual framework helps professionals and researchers understand the significance and impact of integrating LSS and Industry 4.0 in the aspects of human factors/ergonomic, sustainability and operations. Also, the research induce professionals to incorporate all these factors while designing and implementing LSS 4.0 in their organization.Originality/valueThis conceptual framework and bibliometric analysis would aid in identifying potential areas of research and providing future directions in the domain of LSS 4.0. It will be beneficial for academicians, professionals and researchers who are planning to apply and integrate techniques of LSS and technologies of I4.0 in their organizations and research.
Benchmarking non-pharmacological policies from an efficient administration perspective: a panel DEA approach with strategic insights for the post-pandemic
Authors: Nepomuceno Thyago Celso Cavalcante , da Silva Miguel Gomes , Mori Maria Eugênia Vergilio , Silva Wilka Maria do N. , Pergher Isaac 
Published: July 2023

PurposeThe recent increase in the number of infections and mortality rates in many regions has emphasized the cyclical nature of this pandemic, with new variants emerging constantly. Understanding what has been done by efficient administrations to contain the outbreak is essential while new immunization developments for the new variants are not available.Design/methodology/approachThis work adapts the traditional Banker, Charnes and Cooper (BCC) Variable Returns to Scale model for including panel data on the Brazilian Federal Government spending over the first pandemic months in Pernambuco to identify efficient municipalities and conduct a benchmark on the best practices, reactions and implications that can serve as a guide for the post-Covid recurrence era.FindingsThe results provide an interesting panorama of municipal response to the pandemic and some quantitative and qualitative prospects on potentials for improvements from the perspective of efficient and inefficient cities. Only one administration (São Bento do Una) was identified as efficient for the entire period. The authors’ benchmark and discussion are focused on this municipality.Originality/valueThe authors believe this work has two innovative components. The first is a robust and systematic methodology integrating the advances in testing convexity and returns to scale in the construction of a production frontier based on panel data. The second is a discussion on what drives efficiency (benchmarking of best practices) in addition to how to quantitatively attain such efficiency prospects. To the best of the authors’ knowledge, both methodological and empirical implications are original to the present manuscript.
It pays to be forthcoming: timing of data breach announcement, trust violation, and trust restoration
Authors: Muzatko Steven , Bansal Gaurav 
Published: July 2023

PurposeThis research examines the relationship between the timeliness in announcing the discovery of a data breach and consumer trust in an e-commerce company, as well as later trust-rebuilding efforts taken by the company to compensate users impacted by the breach.Design/methodology/approachA survey experiment was used to examine the effect of both trust-reducing events (announced data breaches) and trust-enhancing events (provision of identity theft protection and credit monitoring) on consumer trust. The timeliness of the breach announcement by an e-commerce company was manipulated between two randomly assigned groups of subjects; one group viewed an announcement of the breach immediately upon its discovery, and the other viewed an announcement made two months after the breach was discovered. Consumer trust was measured before the breach, after the breach was announced, and finally, after the announcement of data protection.FindingsThe results suggest that companies that delay a data breach announcement are likely to suffer a larger drop in consumer trust than those that immediately disclose the data breach. The results also suggest that trust can be repaired by providing data protection. However, even after providing identity theft protection and credit monitoring, companies that fail to promptly disclose a breach have lower repaired trust than companies that promptly disclose.Originality/valueThis study contributes to the literature on e-commerce trust by examining how a company's forthrightness in reporting a data breach impacts user trust at the time of the disclosure of the data breach and after subsequent efforts to repair trust.
Understanding proactive knowledge sharing and knowledge withholding in physician-driven online health communities – a professional role identity perspective
Authors: Li Jiaoyang , Li Xixi , Zhang Cheng 
Published: July 2023

PurposeWhile spontaneous and voluntary knowledge contribution in online communities promotes value co-creation, dysfunctional knowledge behaviors hamper the effectiveness and development of such communities. The study conceptualizes physicians' proactive knowledge sharing and knowledge withholding behaviors in physician-driven online health communities (OHCs) and integrates the theories of role identity as well as communal and exchange relationships to understand the root causes and motivations behind these two types of knowledge behaviors.Design/methodology/approachThe authors collected survey data from 166 users from one of the largest physician-driven OHCs in China and applied the covariance-based structural equation modeling approach to test the hypotheses.FindingsThe findings suggest that (1) physicians' professional role identity had a positive indirect effect on proactive knowledge sharing behaviors through communal motivation, and work pressure weakened this indirect effect; and (2) professional role identity had a negative indirect impact on knowledge withholding behaviors through exchange motivation.Originality/valueThis study extends proactive knowledge sharing and knowledge withholding behaviors from the organizational management domain to the online environment, exploring the underlying causes and motivations behind both behaviors in the unique context of physician-driven OHCs. The findings offer practical suggestions for the effective management of OHC platforms, as well as policy implications that respond to the workforce shortage of healthcare providers, a crisis that is unfolding globally.
Unpacking the mechanism linking digital servitization and manufacturing firm performance: the role of the service networks and slack resources
Authors: Zhou Dan , Wu Qihong , Lee Seoki , Li Xin , Sun Kai , Peng Xuerong 
Published: July 2023

Purpose
This paper aims to disentangle the mechanism linking digital servitization and manufacturing firm performance. The contributions of the service networks and slack resources are analyzed.

Design/methodology/approach
Drawing on a survey of manufacturing firms that have implemented or are implementing digital service projects in China, this paper examines the mediation effect of service networks and the moderated mediation effect of slack resources to capture the role of service networks and slack resources in the relationship between digital servitization and manufacturing firm performance.

Findings
Both basic and advanced digital services can equally contribute to manufacturing firm performance. Service networks mediate the relationship between basic digital servitization and manufacturing firm performance. No moderated mediation effect of slack resources is found, but slack resources negatively moderate the effects of basic digital services on service networks and positively impact service networks.

Originality/value
The mediating mechanism of service networks in the relationship between digital servitization and manufacturing firm performance is theorized, and it is clarified that service networks mediate the association between basic digital services and manufacturing firm performance but not advanced digital services. Additionally, there is no significant difference in performance implications when manufacturing firms provide basic versus advanced digital services, answering the call for research on the various types of digital servitization. This paper also identifies firms’ slack resources as the boundary conditions under which basic digital services influence service networks and the positive impacts of slack resources on service networks, bridging the network literature, organizational slack literature and digitalization literature under the framework of service ecosystem research.
Bibliometric analysis of cybercrime and cybersecurity risks literature
Authors: Nobanee Haitham , Alodat Ahmad , Bajodah Reem , Al-Ali Maryam , Al Darmaki Alyazia 
Published: July 2023

Purpose
This study aims to assess the research developments and works pertaining to cybersecurity risks.

Design/methodology/approach
A bibliometric analysis of 749 studies on cybersecurity risks published between 1999 and 2021 was conducted using Scopus and the VOSviewer software.

Findings
This study reveals various findings, including the most influential authors and the top countries, journals, papers, funding institutions and affiliations publishing research on cybersecurity risks. The bibliometric analysis shows that the existing studies have affected the knowledge of the consequences of cybersecurity risks. However, some research gaps still exist in this field.

Originality/value
This study’s contribution is that it presents a comprehensive evaluation of the research on cybercrime and cybersecurity risks. Moreover, to the best of the authors’ knowledge, bibliometric analysis has not been conducted on cybersecurity risks. This study’s findings are likely to prove useful to practitioners and academics in mitigating the consequences of cybercrime and cybersecurity risks.
Office property price index forecasting using neural networks
Authors: Xu Xiaojie , Zhang Yun 
Published: July 2023

Purpose
The Chinese housing market has witnessed rapid growth during the past decade and the significance of housing price forecasting has undoubtedly elevated, becoming an important issue to investors and policymakers. This study aims to examine neural networks (NNs) for office property price index forecasting from 10 major Chinese cities for July 2005–April 2021.

Design/methodology/approach
The authors aim at building simple and accurate NNs to contribute to pure technical forecasts of the Chinese office property market. To facilitate the analysis, the authors explore different model settings over algorithms, delays, hidden neurons and data-spitting ratios.

Findings
The authors reach a simple NN with three delays and three hidden neurons, which leads to stable performance of about 1.45% average relative root mean square error across the 10 cities for the training, validation and testing phases.

Originality/value
The results could be used on a standalone basis or combined with fundamental forecasts to form perspectives of office property price trends and conduct policy analysis.