bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategic leadership and management factors driving sustainability in health-care organizations in Thailand
Authors: Suriyankietkaew Suparak , Kungwanpongpun Pavinee 
Published: December 2021

Purpose This empirical study aims to identify the essential strategic leadership and management factors underlying sustainability in healthcare. It also examines which factors drive sustainability performance outcomes (SPO) in health-care organizations, an analysis lacking to date. It provides a strategic leadership and management perspective toward sustainable healthcare, responding to the United Nations Sustainable Development Goals.Design/methodology/approachThe investigation adopted Sustainable Leadership as its research framework. Using a cross-sectional survey, 543 employees working in health-care and pharmaceutical companies in Thailand voluntarily provided responses. Factor analyses and structural equation modeling were employed.Findings The results revealed an emergent research model and identified 20 unidimensional strategic leadership and management factors toward sustainability in healthcare. The findings indicate significant positive effects on SPO in health-care organizations. Significant factors include human resource management/development, ethics, quality, environment and social responsibility, and stakeholder considerations.Research limitations/implicationsThe study was conducted in one country. Future studies should examine these relationships in diverse contexts. In practice, health-care firms should foster significant strategic leadership and management practices to improve performance outcomes for sustainability in healthcare.Originality/value This paper is the first empirical, multidisciplinary study with a focus on strategic leadership, health-care management and organizational sustainability. It identifies a proxy for measuring the effects of essential strategic leadership and managerial factors for sustainability in pharmaceutical health-care companies. It advances our currently limited knowledge and provides managerial implications for improving performance outcomes toward sustainable healthcare.
Two facets of pride and knowledge hiding: an empirical analysis
Authors: Han Myat Su , Hampson Daniel Peter , Wang Yonggui 
Published: December 2021

Purpose
This study aims to investigate whether or not the two facets of pride, hubristic and authentic, are associated with knowledge hiding.

Design/methodology/approach
This study collects survey data (N = 343) from one of the leading information technology (IT) companies in Myanmar at two stages with a two-month interval. This study uses multiple regression analyses to test this study’s hypotheses.

Findings
Results reveal that hubristic pride is positively related to knowledge hiding, whereas the relationship between authentic pride and knowledge hiding is negative. These relationships are contingent upon the level of employees’ self-efficacy.

Research limitations/implications
This study suggests that managers should include measures for moral emotions in their recruitment and selection criteria. Furthermore, the authors suggest that managers should design strategies to induce moral emotions at the workplace and enhance personal resources (e.g. self-efficacy), which have an instrumental effect in maximizing the prosocial facet of pride (i.e. authentic pride) as well as minimizing adverse experiences of the antisocial facet of pride (i.e. hubristic pride), thereby reducing knowledge hiding.

Originality/value
The findings shed light on the significance of the inclusion of emotional variables in understanding employees’ knowledge hiding. To the best of the authors’ knowledge, this study is the first empirical study to examine the combined effect of emotive and cognitive variables in predicting knowledge hiding by demonstrating that hubristic pride only mitigates knowledge hiding behavior among high self-efficacious employees.
A note on bi-objective optimization for sustainable supply chain network design in omnichannel
Authors: Lei Weidong , Ke Dandan , Yan Pengyu , Zhang Jinsuo , Li Jinhang 
Published: December 2021

PurposeThis paper aims to correct the existing mixed integer programming (MIP) model proposed by Yadav et al. (2019) [“Bi-objective optimization for sustainable supply chain network design in omnichannel.”, Journal of Manufacturing Technology Management, Vol. 30 No. 6, pp. 972–986].Design/methodology/approachThis paper first presents a counterexample to show that the existing MIP model is incorrect and then proposes an improved mixed integer linear programming (MILP) model for the considered problem. Last, a numerical experiment is conducted to test our improved MILP model.FindingsThis paper demonstrates that the formulations of the facility capacity constraints and the product flow balance constraints in the existing MIP model are incorrect and incomplete. Due to this reason, infeasible solutions could be identified as feasible ones by the existing MIP model. Hence, the optimal solution obtained with the existing MIP model could be infeasible. A counter-example is used to verify our observations. Computational results verify the effectiveness of our improved MILP model.Originality/valueThis paper gives a complete and correct formulation of the facility capacity constraints and the product flow balance constraints, and conducts other improvements on the existing MIP model. The improved MILP model can be easily implemented and would help companies to have more effective distribution networks under the omnichannel environment.
Let the games begin: the relationship between video gaming and entrepreneurial mindsets
Authors: Kraus Sascha , Niemand Thomas , Scott Stephanie , Puumalainen Kaisu , Oberreiner Raphael 
Published: December 2021

PurposeThis article addresses the need for further conceptual development of the factors that influence the development of the entrepreneurial mindset. It focuses on finding a link between the classic mental models of entrepreneurship and those that are employed during video game play to explore if similarities exist.Design/methodology/approachUsing theories of entrepreneurship and opportunity recognition, the study examines a sample of 217 video gamers.FindingsThe results of this study suggest that an individual who exhibits a high level of entrepreneurial orientation (EO) has an enhanced opportunity recognition capability when the intensity of playing video games is also high. Various genres of games were controlled for; however, it was found that shooting games have the highest effect on the emergence of opportunity recognition.Originality/valueThus, the study reveals that some game activities can be linked to entrepreneurial cognitions. This has implications for the entrepreneurial intent literature as it reveals certain actions can be linked with entrepreneurial information processing. These findings are useful for game designers and managers as well.
Risk measurement in Bitcoin market by fusing LSTM with the joint-regression-combined forecasting model
Authors: Lu Xunfa , Liu Cheng , Lai Kin Keung , Cui Hairong 
Published: December 2021

PurposeThe purpose of the paper is to better measure the risks and volatility of the Bitcoin market by using the proposed novel risk measurement model.Design/methodology/approachThe joint regression analysis of value at risk (VaR) and expected shortfall (ES) can effectively overcome the non-elicitability problem of ES to better measure the risks and volatility of financial markets. And because of the incomparable advantages of the long- and short-term memory (LSTM) model in processing non-linear time series, the paper embeds LSTM into the joint regression combined forecasting framework of VaR and ES, constructs a joint regression combined forecasting model based on LSTM for jointly measuring VaR and ES, i.e. the LSTM-joint-combined (LSTM-J-C) model, and uses it to investigate the risks of the Bitcoin market.FindingsEmpirical results show that the proposed LSTM-J-C model can improve forecasting performance of VaR and ES in the Bitcoin market more effectively compared with the historical simulation, the GARCH model and the joint regression combined forecasting model.Social implicationsThe proposed LSTM-J-C model can provide theoretical support and practical guidance to cryptocurrency market investors, policy makers and regulatory agencies for measuring and controlling cryptocurrency market risks.Originality/valueA novel risk measurement model, namely LSTM-J-C model, is proposed to jointly estimate VaR and ES of Bitcoin. On the other hand, the proposed LSTM-J-C model provides risk managers more accurate forecasts of volatility in the Bitcoin market.
The ungreening of integrated reporting: a reflection on regulatory capture
Authors: Bridges Caroline M. , Harrison Julie A. , Hay David C. 
Published: December 2021

Purpose
The initial rationale for developing integrated reporting included addressing the failures of traditional reporting to address sustainability issues. Subsequently, the International Integrated Reporting Council (IIRC) modified its stated objectives to emphasise integrated thinking and value creation. There has been debate on whether the IIRC’s process for developing its integrated reporting framework was subject to regulatory capture by the accounting profession (Flower, 2015; Adams, 2015; Thomson, 2015). This paper aims to provide additional evidence on the extent to which this regulatory capture occurred, with an update on current developments.

Design/methodology/approach
Data from interviews with key participants in the integrated reporting framework’s development and the IIRC’s Council and Working Group meeting minutes were analysed to identify to what extent the change in the IIRC’s focus can be explained by regulatory capture theory.

Findings
The findings show that the integrated reporting framework’s development was subject to regulatory capture by accountants. However, the extent of capture was mitigated to some extent by processes adopted in its development. This is consistent with regulatory capture theory.

Originality/value
This paper critically examines the debate on the extent to which the sustainability message has been lost as a result of regulatory capture. It provides an in-depth analysis of the IIRC’s treatment of sustainability which explores the application of regulatory capture theory and examines evidence not considered in previous studies.
The threshold effect of electricity consumption and urbanization on carbon dioxide emissions in Ghana
Authors: Nayaga Paul , Adusah-Poku Frank , Dramani John Bosco , Takyi Paul Owusu 
Published: December 2021

PurposeThe quest for economic development has brought adverse effects on the environment through the release of greenhouse gases, such as carbon dioxide (CO2). This will counter the efforts to achieve the Sustainable Development Goals (SDGs) by 2030. This study, therefore, investigates the effect of electricity consumption and urbanization on CO2 emissions in Ghana. Electricity consumption and urbanization are among the factors that can be used to reduce CO2 emissions.Design/methodology/approachFollowing the STIRPAT framework with the Hansen (2000) least squares threshold estimation strategy, the study employed annual time series data from 1971 to 2019.FindingsThe study revealed a single threshold effect of both electricity consumption and urbanization on CO2 emissions. Electricity consumption intensity reduces CO2 emission when electricity consumption is below the threshold (6287GWh) but increases when consumption passes the threshold. However, urbanization exerts a positive influence on CO2 emissions regardless the level of urbanization (either before or after the threshold point). Again, the empirical results revealed that the urbanization threshold moderates the effect of electricity consumption on CO2 emissions.Research limitations/implicationsPolicymakers have to consider redesigning the current urbanization mode to include some new-type urbanization elements.Originality/valueThe threshold effect of electricity consumption and urbanization on CO2 emissions in Ghana is examined using the Hansen (2000) least square method.
Will she stay or will she quit: determinants of career persistence and non-persistence amongst women workers of India's IT sector
Authors: Alok Swati , Banerjee Sudatta , Kumar Navya 
Published: December 2021

PurposeThis study aims to identify demographic characteristics, personal attributes and attitudes and social support factors that adversely or favourably affect the likelihood of career persistence amongst women workers of the Indian IT sector.Design/methodology/approachThe research, grounded in the social cognitive career theory, analyses primary data collected from 850 women working in IT via a survey. Based on an original definition of career persistence, the sample was segregated into 427 persistent and 423 non-persistent women. Logistic regression was performed to test for the effect of various determinants on the likelihood of women being career persistent versus non-persistent.FindingsBeing married, having children, as well as high levels of belief in gender disadvantage and work–family conflict lowered the likelihood of career persistence amongst women. While being a manager, possessing high career identity, high occupational culture fit, positive psychological capital and family support boost the likelihood.Originality/valueThe study examines women's actual continuance in an IT career vis-à-vis exit from the workforce/IT field, rather than women's stated intent to persist/quit as previously investigated. It uses logistic regression to identify both hurdles and aids on the path of women's career persistence. The findings can help recognize women more likely to struggle, thus be a first step in targeted organizational interventions to plug a leaky talent pipeline.
Numerical analysis of safety distances of reinforced concrete structures subjected to blast loading by Perform-3D
Authors: Sharifi Ghalehnoei Mohammadsina 
Published: December 2021

Purpose
The purpose of this study is to develop the performance model of buildings designed by the seismic code 2800 against the explosion wave and determination of safety distance.

Design/methodology/approach
Analytical models of three-, five- and ten story structures that used moment frame system and also a ten-storey building with shaer wall designed based on the seismic code 2800 in term of design and nonlinear analysis were generated for use with Perform-3D software. Extensive parametric analysis is executed on different explosive loads with 100, 500, 1,000 and 5,000 Trinitrotoluene, soil types 2 and 3, models eqs and eqbs, the number of story buildings and the effect of shear wall to determine the safety distance based on collapse threshold performance (CP) level criterion.

Findings
The results indicate that by increasing the explosives mass from 100 to 5,000 kg and the number of the stories three and five induce increasing the safety distance of CP level in buildings to 4.5 meter and 3 meter times, respectively. Ten-story structures modeled on shear wall show very good performance because of stiffness rising and high energy absorption. In addition, by increasing the stories from five to ten, the amount of the safety distance reduces the CP level to 3.9 meter times.

Originality/value
The results of this work are meaningful for explosion-resistant design and damage assessments of reinforced concrete moment framed structures subjected to explosive explosion.
Fat Cats, Production Networks, and the Right to Fair Pay
Authors: Collins Hugh 
Published: December 2021

AbstractShould there be a legal right to fair pay so that anyone might challenge the relative fairness of their pay? International human rights law does not clearly support such a right, partly due to the uncertain meaning of fairness in pay. The article challenges this uncertainty, explaining the marginal relevance of theories of distributive justice. Standards of fairness should be discovered instead in principles of interpersonal justice, particularly the bilateral principle of good faith, and in associational principles of desert by reference to contribution and recognition of persons. These contain an egalitarian impulse providing moral reasons for rejecting market rates of pay and, it is argued, should apply beyond single corporate entities, to corporate groups and networks of companies sharing an integrated production scheme. Finally, appropriate regulations enacting a legal right to fair pay are explored with a view to achieving reflexive yet effective regulation using works councils to fix outer limits to wage dispersal ratios.
Effect of simultaneous treatment combining ultrasonication and rutin on gliadin in the formation of nanoparticles
Authors: Li Chunyi , Wang Qiming , Zhang Chi , Lei Lin , Lei Xiaojuan , Zhang Yuhao , Li Lin , Wang Qiang , Ming Jian 
Published: December 2021

AbstractProteins, one of the vital nutritional compounds sensitive to the environment, can be modified by interaction with polyphenols. Ultrasonication has been applied for enhancing the functional properties of proteins. In this study, the interactions of gliadin (G) and rutin (R) in the absence and presence of ultrasonication (0, 150, 300, 450, and 600 W) for 20 min were investigated, with a focus on the properties of emulsions prepared by G–R complexes. Ultrasonication improved the interaction, which increased the content of β‐type secondary structure. Ultrasonication at 450 W increased the particle size of the conjugates. For Pickering emulsions, treating the covering of R on G with ultrasonication improves the stability of the G‐based emulsion significantly, owing to the strong films formed on the oil–water interfaces. The G–R complexes treated at 450 W ultrasonication formed emulsions that showed higher potential and storage modulus (Gʹ) and denser microstructures than those of the untreated emulsions. Nevertheless, ultrasound treatment at 600 W weakened the emulsion properties that were stabilized by the conjugates. Ultrasound combined R was shown to be a potential processing technology for changing the protein structure and producing stable emulsions.Practical ApplicationThe interactions between proteins and polyphenols are able to preserve the stability of the functional compounds, allow targeted and controlled release, and improve the texture of these complexes employed in the food industry. Improvements in the functional characteristics of the protein–polyphenol complexes so that they possess high emulsifying stability during food processing is a crucial factor for employing them in the food industry. Therefore, the aim of this research is using a soluble complex of gliadin–rutin for the development of its functional characteristics.
A single‐walled carbon nanotubes‐based electrochemical impedance immunosensor for on‐site detection of Listeria monocytogenes
Authors: Lee Bog Eum , Kang Taiyoung , Jenkins Daniel , Li Yong , Wall Marisa M. , Jun Soojin 
Published: December 2021

AbstractReal‐time and sensitive detection of pathogenic bacteria in food is in high demand to ensure food safety. In this study, a single‐walled carbon nanotubes (SWCNTs)‐based electrochemical impedance immunosensor for on‐site detection of Listeria monocytogenes (L. monocytogenes) was developed. A gold‐plated wire was functionalized using polyethylenimine (PEI), SWCNTs, streptavidin, biotinylated L. monocytogenes antibodies, and bovine serum albumin (BSA). A linear relationship (R2 = 0.982) between the electron transfer resistance measurements and concentrations of L. monocytogenes within the range of 103–108 CFU/ml was observed. In addition, the sensor demonstrated high selectivity towards the target in the presence of other bacterial cells such as Salmonella Typhimurium and Escherichia coli O157:H7. To facilitate the demand for on‐site detection, the sensor was integrated into a smartphone‐controlled biosensor platform, consisting of a compact potentiostat device and a smartphone. The signals from the proposed platform were compared with a conventional potentiostat using the immunosensor interacted with L. monocytogenes (103–105 CFU/ml). The signals obtained with both instruments showed high consistency. Recovery percentages of lettuce homogenate spiked with 103, 104, and 105 CFU/ml of L. monocytogenes obtained with the portable platform were 90.21, 90.44, and 93.69, respectively. The presented on‐site applicable SWCNT‐based immunosensor platform was shown to have a high potential to be used in field settings for food and agricultural applications.Practical ApplicationThe developed immunosensor was developed for on‐site detection of L. monocytogenes. The limit of detection of the sensor was 103 CFU/ml with a detection time of 10 min. In order to facilitate the requirements for effective on‐site screening for food safety, the sensor was integrated into a smartphone‐controlled platform, so that the bio‐molecular interactions were converted into impedance signals and transmitted wirelessly to a smartphone by a hand‐held EIS transducer.
Rcompadre and Rage—Two R packages to facilitate the use of the COMPADRE and COMADRE databases and calculation of life‐history traits from matrix population models
Authors: Jones Owen R. , Barks Patrick , Stott Iain , James Tamora D. , Levin Sam , Petry William K. , Capdevila Pol , Che‐Castaldo Judy , Jackson John , Römer Gesa , Schuette Caroline , Thomas Chelsea C. , Salguero‐Gómez Roberto 
Published: December 2021

Abstract

Matrix population models (MPMs) are an important tool for biologists seeking to understand the causes and consequences of variation in vital rates (e.g. survival, reproduction) across life cycles. Empirical MPMs describe the age‐ or stage‐structured demography of organisms and usually represent the life history of a population during a particular time frame at a specific geographical location.

The COMPADRE Plant Matrix Database and COMADRE Animal Matrix Database are the most extensive resources for MPM data, collectively containing >12,000 individual projection matrices for >1,100 species globally. Although these databases represent an unparalleled resource for researchers, land managers and educators, the current computational tools available to answer questions with MPMs impose significant barriers to potential COM(P)ADRE database users by requiring advanced knowledge to handle diverse data structures and program custom analysis functions.

To close this knowledge gap, we present two interrelated R packages designed to (a) facilitate the use of these databases by providing functions to acquire, quality control and manage both the MPM data contained in COMPADRE and COMADRE, and a user's own MPM data (Rcompadre) and (b) present a range of functions to calculate life‐history traits from MPMs in support of ecological and evolutionary analyses (Rage). We provide examples to illustrate the use of both.

Rcompadre and Rage will facilitate demographic analyses using MPM data and contribute to the improved replicability of studies using these data. We hope that this new functionality will allow researchers, land managers and educators to unlock the potential behind the thousands of MPMs and ancillary metadata stored in the COMPADRE and COMADRE matrix databases, and in their own MPM data.