bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-term compensation and risk taking: exploring the role of crisis in CEOs' behavior toward mergers and acquisitions
Authors: Moeini Gharagozloo Mohammad Mahdi , Forghani Bajestani Mahdi , Chen Chen 
Published: June 2023

PurposeCorporate governance scholars have built on agency theory premises to document chief executive officers' (CEOs’) debt-based compensation, also known as inside debt, as an effective tool to control excessive risk and deter risky corporate strategies. In this study, the authors draw on behavioral agency model to put these well-established assumptions to the test in a different setting and argue for the context-specific effects of CEOs' long-term compensation.Design/methodology/approachFocusing on corporate mergers and acquisitions in a post-crisis period (2011–2017), the authors cast doubt on agency theory predictions on debt-like compensation, point to the more realistic assumptions of behavioral decision models, and call for more contingency approaches in theoretical arguments.FindingsAn analysis of more than 4000 observations reveals that neither CEOs nor shareholders react significantly to inside debt after the economy recovers. Firm risk is also influenced only marginally by long-term compensation in a normal period of time.Originality/valueWhile extant literature is rather unanimous on risk-reducing impact of inside debt, the study periods span the financial crisis of 2007. This research is the first conducted in regular times to demonstrate that previous findings are biased and heavily influenced by an exogenous shock.
Implementation of lean manufacturing practices and six-sigma among Malaysian manufacturing SMEs: intention to implement IR 4.0 technologies
Authors: Ibikunle Afeez Kayode , Rajemi Mohamad Farizal , Zahari Fadhilah Mohd 
Published: June 2023

PurposeIn this paper, the implementation of lean manufacturing and six sigma practices among Malaysian manufacturing SMEs toward achieving sustainable performance was investigated. Furthermore, intention to implement IR 4.0 technologies among manufacturing SMEs was also examined.Design/methodology/approachThe primary data were collected from 120 manufacturing SMEs across Malaysia using organization as the unit of analysis. The data were collected using the six-point Likert scale questionnaire.FindingsBased on research findings, about 86% Malaysian manufacturing SMEs implement 6s. Nevertheless, lean and 6s has an influence on sustainable performance among Malaysian manufacturing SMEs. Only about 32.5% Malaysian manufacturing SMEs have the intention to implement IR 4.0 technologies. This study results imply that IR 4.0 technologies implementation among Malaysian manufacturing SMEs are still at infant stage though lean and 6s concept is known by the manufacturing SMEs.Research limitations/implicationsThis study has implications for future researchers to explore application of IR 4.0 technologies among manufacturing SMEs. Therefore, there is need to create awareness about the application of IR 4.0 technologies suitable for manufacturing SMEs in order to remain sustainable for local and foreign competitors. From the perspective of system theory, there is an interconnection network across each department in a whole system. More so, sustainable performance can continuously change and improve the system in any organization.Practical implicationsFrom the view of SMEs policy makers, this study should be use to encourage SMEs to adopt technologically inclined practices. Accordingly, this research recommends government bodies to help support the implementation of sustainable practices due to their sizes and inadequate resources involved. Therefore, the role of government in providing suitable policies that could be beneficial to manufacturing SMEs toward achieving sustainable practices cannot be overlooked. Through proper government support, Malaysian manufacturing SMEs will be able to survive both locally and internationally and also gain competitive advantage.Originality/valueThe main contribution of this paper includes integrated effect of lean manufacturing practices and six sigma implementation among manufacturing SMEs and prioritizing implementation of IR 4.0 technologies to be executed by manufacturing SMEs.
A hybrid ISM and fuzzy MICMAC approach to modeling risk analysis of imported fresh food supply chain
Authors: Hong Jiangtao , Quan Yuting , Tong Xinggang , Lau Kwok Hung 
Published: June 2023

Purpose
The fresh food supply chain industry faces significant challenges in risk management because of the complexity, immature development and unpredictable external environment of imported fresh food supply chains (IFFSCs). This study aims to identify specific risk factors in IFFSCs, demonstrate how these risks are transmitted within the system and provide an analytical framework for managing these risks.

Design/methodology/approach
A total of 15 risk factors for IFFSCs through extensive literature review and expert consultation are identified and classified into seven levels using interpretive structural modeling (ISM) to demonstrate the risk transmission path. Fuzzy Matrice d’Impacts Croises-Multiplication Appliance Classement (MICMAC) analysis is then used to analyze the role of each factor.

Findings
The interactions of the 15 identified risk factors of IFFSCs, classified into seven levels, are visualized using ISM. The fuzzy MICMAC analysis classifies the factors into four groups, namely, dependent, independent, linkage and autonomous factors, and identifies the relatively critical risk factors in the system.

Research limitations/implications
The findings of this research provide a clear framework for enterprises operating in IFFSCs to understand the specific risks they may face and how these risks interact within the system. The fuzzy MICMAC analysis also classifies and highlights critical risk factors in the system to facilitate the formulation of appropriate mitigation measures.

Originality/value
This study provides enterprises in IFFSCs with a comprehensive understanding of how the risks can be effectively managed and a basis for further exploration. The theoretical model constructed is also a new effort to address the issues of risk in IFFSCs. The ISM and the fuzzy MICMAC analysis offer clear insights for researchers and enterprises to grasp complex concepts.
Conscientiousness and leader emergence: the mediating role of functional behaviors
Authors: Tan Ling , Guan Jian , Wang Yongli , Wang Jingyu , Qian Wenjing , Zheng Chundan 
Published: June 2023

PurposeDespite extensive research on personality and leader emergence, very little is known about the process by which employees become or emerge as leaders based on their performance. Integrating functional leadership theory and a behavior perspective, the authors aim to explore the parallel multiple behavioral mediators in the conscientiousness–leader emergence link.Design/methodology/approachBy integrating a field survey study and two experimental studies, the authors use parallel multiple mediation analysis to explore the mechanisms by which conscientiousness leads to high levels of leader emergence.FindingsConscientiousness is positively associated with employee leader emergence. Employee functional behaviors are positively associated with leader emergence. The authors consistently found that the effect of conscientiousness on leader emergence is primarily explained by increases in task- and change-oriented behaviors but not relations-oriented behaviors.Practical implicationsOrganizations can design relevant training programs to cultivate and enhance employees' functional behavior, as the study findings suggest that an effective way to translate employees' conscientiousness into their leader emergence is to improve their task- and change-oriented behaviors.Originality/valueThis research highlights the consistent and important role of employees' functional behaviors in the form of task- and change-oriented behaviors linking conscientiousness to leader emergence.
Barriers to adopting automated organisational decision-making through the use of artificial intelligence
Authors: Booyse Dawid , Scheepers Caren Brenda 
Published: June 2023

Purpose
While artificial intelligence (AI) has shown its promise in assisting human decision, there exist barriers to adopting AI for decision-making. This study aims to identify barriers in the adoption of AI for automated organisational decision-making. AI plays a key role, not only by automating routine tasks but also by moving into the realm of automating decisions traditionally made by knowledge or skilled workers. The study, therefore, selected respondents who experienced the adoption of AI for decision-making.

Design/methodology/approach
The study applied an interpretive paradigm and conducted exploratory research through qualitative interviews with 13 senior managers in South Africa from organisations involved in AI adoption to identify potential barriers to using AI in automated decision-making processes. A thematic analysis was conducted, and AI coding of transcripts was conducted and compared to the manual thematic coding of transcripts with insights into computer vs human-generated coding. A conceptual framework was created based on the findings.

Findings
Barriers to AI adoption in decision-making include human social dynamics, restrictive regulations, creative work environments, lack of trust and transparency, dynamic business environments, loss of power and control, as well as ethical considerations.

Originality/value
The study uniquely applied the adaptive structuration theory (AST) model to AI decision-making adoption, illustrated the dimensions relevant to AI implementations and made recommendations to overcome barriers to AI adoption. The AST offered a deeper understanding of the dynamic interaction between technological and social dimensions.
Stress management intervention program for teaching staff at private engineering colleges in Tamil Nadu to improve their job performance and well-being
Authors: Dhaneesh R. , Iswarya V.S. 
Published: June 2023

PurposeStress at workplace is quite common in all sorts of environment. It can be occurring when the demand in the job does not match with the requirements; thereby, it affects their performance. The study was conducted with the aim to identify the major factors that induce stress for teaching professionals in private engineering colleges and its impact towards job performance. From the observation and discussion, it was found that Workload, Working Hour, Salary, Role Ambiguity and Lack of Social Support are the major factors for stress.Design/methodology/approachA structured questionnaire was framed with the help of stress-causing factors and their effect on job performance. In addition to this, a few questions were asked related to stress management intervention program. The survey was conducted with 370 respondents, while further analysis was carried out with the filled 260 respondent’s data using descriptive statistics, correlation, regression, ANOVA and SEM.FindingsThe study reveals that workload plays a significant role in stress whereas other factors are consequently lower than that. Also, the primary-level intervention programs are more effective than secondary-level intervention programs to reduce the stress level of stressors.Originality/valueThe paper was originally done by collecting data from the staff.
Antecedents of mobile device purchase intention by mobile gamers
Authors: Mainardes Emerson Wagner , Paixão Júnior Silvestre de Jesus Cunha , Rodrigues Ricardo Gouveia 
Published: June 2023

Purpose
This study aims to verify the antecedents influencing mobile gamers’ intentions to purchase mobile phones. To this end, the constructs price–quality relationship, price sensitivity, perceived quality, identification with the group of gamers and referrals from other gamers were identified in the literature.

Design/methodology/approach
Data were collected through an online questionnaire with 335 consumers. The model was tested using partial least squares.

Findings
It was verified that the price–quality relationship directly influences mobile gamers' intentions to purchase mobile phones. Also, it was observed that price sensitivity of mobile gamers directly influences the price–quality relationship and indirectly influences the intention to purchase mobile phones to play games. It was further verified that this price sensitivity is directly influenced by the perceived quality of mobile gaming devices. Finally, it was observed that referrals from other gamers directly influences the perceived quality and onès identification with the group of gamers.

Research limitations/implications
This study concluded that developing strategies focused on prices of mobile phones gamers use to play games tends to influence mobile gamers' purchase intentions. This paper extends the study of mobile device purchase behavior, uniting constructs studied separately and proposing connections not yet tested, assisting in the theoretical understanding of the factors that contribute to the intention to purchase mobile devices.

Originality/value
This study is theoretically justified for four reasons: it focused on a specific group of consumers, mobile gamers, which is a constantly growing audience; it brought an innovative model, testing the influence of the perceived quality of mobile gaming devices on the price sensitivity of mobile gamers; there are spaces for new research on mobile device purchase intention; and it may assist in the theoretical understanding of the factors contributing to mobile device purchase intention.
Testing trade‐offs in amphibian metamorphic traits: Swimming performance and selection across metamorphic stages in the aquatic frog Xenopus laevis
Authors: Kinsey Chase T. , McNelly Olivia , Bridges William C. , Blob Richard W. 
Published: June 2023

Abstract

As frogs undergo metamorphosis from tadpole to adult, they may be susceptible to decreases in locomotor performance and survival during stages in which the tail and limbs are both present. Because these alternative axial and appendicular propulsive systems might interfere with each other, performance might be better when only one or the other system predominates. This framework, termed the ‘adaptive peak hypothesis’ emerged from studies of generalist anuran taxa with biphasic life histories in which aquatic larvae transition to terrestrial adults. However, it is not clear that such patterns apply to taxa with different patterns of ontogenetic environmental transitions.

We evaluated the relationship between morphology, locomotor performance and survival versus predators across metamorphic stages of a fully aquatic frog, the pipid Xenopus laevis. We measured escape performance from individuals of four developmental stages spanning possession of just a tail, the presence of both tail and legs and resorption of the tail, and then conducted selection trials in which equal numbers of individuals of all stages were exposed to an aquatic predator (cichlid fish). After collecting survivors from these trials, we calculated linear and nonlinear selection gradients for a suite of morphological traits.

Unlike generalist frogs, we found that both locomotor performance and survival increased across metamorphic stages of X. laevis. Linear selection gradients favoured tadpoles with longer hindlimbs, longer and narrower bodies, and shorter tails—patterns that generally parallel trends during metamorphic growth. Nonlinear selection showed that longer hindlimbs were favoured as body length increased and the positive effect of forelimb length was reduced as tail length increased.

The relationship between hindlimb and body length aligns with expected changes in growth postmetamorphosis where postmetamorphic individuals are expected to have greater survival. However, longer forelimbs are generally associated with decreased locomotor performance, suggesting that alternative mechanisms of selection may be acting on the forelimbs of Xenopus through development.

Overall, our results indicate that the generality of the adaptive peak framework, as applied to amphibian metamorphosis, can be impacted by specifics of life history patterns across species.

Read the free Plain Language Summary for this article on the Journal blog.
Sparse‐node acquisition for data fitting velocity model building
Authors: Vigh Denes , Xu James , Cheng Xin , Glaccum Kate 
Published: June 2023

AbstractThe salt interpretation can be quite time‐intensive and challenging. Full‐waveform inversion, as a data‐driven optimization algorithm with full wavefield modelling, has become one of the essential tools for earth model building. However, full‐waveform inversion application in the complex salt geology, especially with streamer data collection, is limited, whereas the ocean‐bottom node with ultra‐long offsets and low frequencies unleashes the power of full‐waveform inversion. Sparse ocean‐bottom node acquisition has become a standard approach to improve the earth model building by the addition of ultra‐long offsets and possibly low frequencies. The new survey designs with ocean‐bottom node coupled with simultaneous shooting can be deployed on a regional basis covering thousands of square kilometres in a cost‐effective manner. In complex geological settings, including irregular salt geometry, salt interpretation has a direct impact on subsalt imaging. The recent development of robust objective functions allows full‐waveform inversion work with sparse ocean‐bottom node surveys in the deep‐water environment as the Gulf of Mexico to build and refine the salt geometries and correct the background velocity error in subsalt, uncovering the structural configuration of the basin that has not been seen before. Although full‐waveform inversion mostly employs the acoustic wave equation, we know that the high velocity boundaries in the earth model may require elastic wavefield propagation. Increased physics in full‐waveform inversion allows us to interrogate the power of elastic full‐waveform inversion versus acoustic full‐waveform inversion, and here, we demonstrate that elastic full‐waveform inversion has an advantage over acoustic full‐waveform inversion despite the extra cost associated with implementing the more complete physics.
Loss of MID in English: Free Peasantry and Their Linguistic Advantage
Authors: Liu Rongkun 
Published: June 2023

AbstractThe paper deals with the mysterious loss of a common preposition MID in the historical development of English. The issue is examined using a quantitative method combined with a historical sociolinguistic focus on the free peasantry in the East Midlands and Kent. Statistical results show East Midlands to be the leading region of the change, with Kent being the most conservative region. Given the special role of free peasantry in medieval society, it is proposed that they can exert disproportionate influence over linguistic changes in the feudal society, due to their free movement, well‐off socio‐economic status and higher prestige, and so are instrumental in the linguistic competition between MID and WIÐ.
Elizabethan Catholic Intelligencers, Spain and the Armada of 1597
Authors: ROCHE JONATHAN 
Published: June 2023

AbstractRecent research on late Reformation English/British Catholics’ engagement in contemporary politics, has, for the most part, focused on regicidal schemes or on Catholic polemical writings. Espionage activities by Catholics in England, however, have been often overlooked. The hundreds of documents endorsed ‘avisos de Inglaterra’ (reports from England), located in el archivo general de Simancas, are intelligence dossiers about England. These reports were sent to Spain (between 1590–1608) by Hugh Owen, a Welsh Catholic exile, using information gathered by his informants in England. This article seeks to introduce the ‘avisos’ as a genre of sources by exploring the intelligence they contained and placing them within their broader context of Elizabethan/ Jacobean Catholicism and Anglo‐Spanish relations. In using this largely untapped source of Anglo‐Spanish history, this article reaches broader conclusions about how Catholics in England interacted with the Spanish authorities, and tried to influence the Anglo‐Spanish war to their advantage.
Suppression of carbon emissions by agricultural financial investment: A study based on provincial panel data in China
Authors: Wang Boxiong 
Published: June 2023

AbstractAs China pursues carbon peak and carbon neutrality goals, the low‐carbon economy and energy conservation have become essential components of high‐quality economic development. Although agriculture plays a fundamental role in a country, the relationship between agricultural development, investment, and carbon emissions is often overlooked in existing research. This study aims to address this gap by examining the impact of financial investment in agriculture on carbon dioxide emissions and the underlying mechanisms driving this relationship. Employing panel data from mainland China's provinces between 2007 and 2020, the study also investigates the regional heterogeneity in the effect of agricultural investment on carbon dioxide emissions. Our findings reveal that increasing financial investment in agriculture effectively reduces carbon dioxide emissions, primarily through optimizing industrial structure and fostering technological innovation. Heterogeneity tests indicate that the inhibitory effect of agricultural investment on carbon dioxide emissions is more pronounced in eastern regions, provinces with a higher degree of marketization, and provinces with a substantial proportion of primary industry. These results provide a theoretical basis for leveraging agricultural financial investment to restrain carbon dioxide emissions and highlight the unique contributions of our study to the existing body of research.
Clinical significance of serum urea‐to‐creatinine ratio in patients undergoing peritoneal dialysis
Authors: Tonomura Shun , Uchiyama Kiyotaka , Nakayama Takashin , Mitsuno Ryunosuke , Kojima Daiki , Hama Eriko Yoshida , Nagasaka Tomoki , Nishimura Erina Sugita , Kusahana Ei , Takahashi Rina , Yoshimoto Norifumi , Yamaguchi Shintaro , Morimoto Kohkichi , Yoshida Tadashi , Hayashi Kaori , Kanda Takeshi , Washida Naoki , Itoh Hiroshi 
Published: June 2023

AbstractIntroductionWe aimed to determine the correlation between the serum urea‐to‐creatinine ratio and residual kidney function (RKF) in patients undergoing peritoneal dialysis (PD), as well as its predictive value for PD‐related outcomes.MethodsThis study included a cross‐sectional study to assess the correlation between serum urea‐to‐creatinine ratio and RKF in 50 patients on PD and a retrospective cohort study to assess the association between serum urea‐to‐creatinine ratio and PD‐related outcomes in 122 patients who initiated PD.ResultsSerum urea‐to‐creatinine ratios had significant positive correlations with renal Kt/V and creatinine clearance values (r = 0.60, p < 0.001 and r = 0.61, p < 0.001, respectively). Additionally, serum urea‐to‐creatinine ratio was significantly associated with a lower risk of transfer to hemodialysis or PD/hemodialysis hybrid therapy (hazard ratio: 0.84, 95% confidence interval: 0.75–0.95).ConclusionThe serum urea‐to‐creatinine ratio can be an indicator of RKF and a prognostic factor in patients undergoing PD.