bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of perceived organizational support and green transformational leadership on sustainable organizational performance: a SEM approach
Authors: Kusi Manita , Zhao Fuqiang , Sukamani Dinesh 
Published: July 2021

PurposeThe study aims to scrutinize the concomitant associations between corporate social responsibility (CSR), perceived organizational support (POS), green transformational leadership (GTL) and organizational performance (OP). This paper aims to explore the role of intervening variable to measure the strength on the relationship between CSR and OP.Design/methodology/approachThis research administered a survey through self-administered questionnaire among the staff-level employees of construction companies of Nepal. Fully filled 305 responses from the participants were analyzed using a structural equation model. The study used self-structured questionnaire as research tool and face-to-face meetings as data collection technique.FindingsThe research indicates that POS showed competitive partial mediation relation between CSR and OP. Besides, a novel exploration of the moderation effect of GTL displays a supportive role in harmonizing the CSR with organizational support to achieve better OP. This study enriches empirical evidence to understand the linkage between CSR and POS in staff-level employees in the construction area. Moreover, the research shed a light on GTL 's moderating influence on the mediated model of CSR, POS and OP.Research limitations/implicationsAlthough the results of the study add to the current knowledge base, several limitations highlight avenues for future research. Future studies can explore the relationship in other study areas with added evidence on a similar result with different analysis patterns and study sample. The research model studied in the context of Nepal creating evidence as a representation for the developing countries.Originality/valueThe intervening role of POS and GTL gives new insight for the research-based organization based social behavior and performance
An assessment of noise variance estimations in Bayes threshold denoising under stationary wavelet domain on brain lesions and tumor MRIs
Authors: Pidchayathanakorn Papangkorn , Supratid Siriporn 
Published: July 2021

PurposeA major key success factor regarding proficient Bayes threshold denoising refers to noise variance estimation. This paper focuses on assessing different noise variance estimations in three Bayes threshold models on two different characteristic brain lesions/tumor magnetic resonance imaging (MRIs).Design/methodology/approachHere, three Bayes threshold denoising models based on different noise variance estimations under the stationary wavelet transforms (SWT) domain are mainly assessed, compared to state-of-the-art non-local means (NLMs). Each of those three models, namely D1, GB and DR models, respectively, depends on the most detail wavelet subband at the first resolution level, on the entirely global detail subbands and on the detail subband in each direction/resolution. Explicit and implicit denoising performance are consecutively assessed by threshold denoising and segmentation identification results.FindingsImplicit performance assessment points the first–second best accuracy, 0.9181 and 0.9048 Dice similarity coefficient (Dice), sequentially yielded by GB and DR; reliability is indicated by 45.66% Dice dropping of DR, compared against 53.38, 61.03 and 35.48% of D1 GB and NLMs, when increasing 0.2 to 0.9 noise level on brain lesions MRI. For brain tumor MRI under 0.2 noise level, it denotes the best accuracy of 0.9592 Dice, resulted by DR; however, 8.09% Dice dropping of DR, relative to 6.72%, 8.85 and 39.36% of D1, GB and NLMs is denoted. The lowest explicit and implicit denoising performances of NLMs are obviously pointed.Research limitations/implicationsA future improvement of denoising performance possibly refers to creating a semi-supervised denoising conjunction model. Such model utilizes the denoised MRIs, resulted by DR and D1 thresholding model as uncorrupted image version along with the noisy MRIs, representing corrupted version ones during autoencoder training phase, to reconstruct the original clean image.Practical implicationsThis paper should be of interest to readers in the areas of technologies of computing and information science, including data science and applications, computational health informatics, especially applied as a decision support tool for medical image processing.Originality/valueIn most cases, DR and D1 provide the first–second best implicit performances in terms of accuracy and reliability on both simulated, low-detail small-size region-of-interest (ROI) brain lesions and realistic, high-detail large-size ROI brain tumor MRIs.
A new path plan method based on hybrid algorithm of reinforcement learning and particle swarm optimization
Authors: Liu Xiaohuan , Zhang Degan , Zhang Ting , Zhang Jie , Wang Jiaxu 
Published: July 2021

PurposeTo solve the path planning problem of the intelligent driving vehicular, this paper designs a hybrid path planning algorithm based on optimized reinforcement learning (RL) and improved particle swarm optimization (PSO).Design/methodology/approachFirst, the authors optimized the hyper-parameters of RL to make it converge quickly and learn more efficiently. Then the authors designed a pre-set operation for PSO to reduce the calculation of invalid particles. Finally, the authors proposed a correction variable that can be obtained from the cumulative reward of RL; this revises the fitness of the individual optimal particle and global optimal position of PSO to achieve an efficient path planning result. The authors also designed a selection parameter system to help to select the optimal path.FindingsSimulation analysis and experimental test results proved that the proposed algorithm has advantages in terms of practicability and efficiency. This research also foreshadows the research prospects of RL in path planning, which is also the authors’ next research direction.Originality/valueThe authors designed a pre-set operation to reduce the participation of invalid particles in the calculation in PSO. And then, the authors designed a method to optimize hyper-parameters to improve learning efficiency of RL. And then they used RL trained PSO to plan path. The authors also proposed an optimal path evaluation system. This research also foreshadows the research prospects of RL in path planning, which is also the authors’ next research direction.
Measuring coherence of performance measurement indicators in complex and changing environments
Authors: Di Luozzo Sebastiano , Del Beato Fabrizia , Schiraldi Massimiliano Maria 
Published: July 2021

PurposeThis paper discusses and integrates the concept of complexity in the performance measurement and management (PMM) theory by providing a comprehensive framework to design and evaluate the overall coherence alignment of an indicators hierarchy in unstable and changing environment.Design/methodology/approachAn original, comprehensive and dynamic framework has been proposed and then applied on a sample case of a large-scale retail trade (LSRT) company, starting from relevant frameworks and criteria in the scientific literature.FindingsThis research shows that organizational changes may significantly impact the coherence alignment of an organization's indicators hierarchy. In addition, it finds that even though the alignment at the operational level is obtained, its effectiveness should be evaluated in relation to the organization's strategic orientation. Indeed, without assessing the strategic alignment of an indicators system, an aligned hierarchy at the operational level could lead to ineffective results.Research limitations/implicationsThis paper focuses on the topic of measuring the coherence inside an indicators hierarchy, which seems not to be addressed in the literature. Thus, it opens a new research stream, integrating the studies on performance indicators with an essential element that often causes flawed performance measures in organizations.Practical implicationsOrganizations could adopt this framework to design effective PMM systems and maintain them in light of the organizational changes.Originality/valueThis study introduces different metrics to evaluate the coherence and alignment of an indicators system, being one of the few research studies to address this topic in the context of complex and changing environments.
Developing a hybrid software reliability growth model
Authors: Shrivastava Avinash Kumar , Sharma Ruchi 
Published: July 2021

PurposeThe purpose of this paper is to develop a new software reliability growth model considering different fault distribution function before and after the change point.Design/methodology/approachIn this paper, the authors have developed a framework to incorporate change-point in developing a hybrid software reliability growth model by considering different distribution functions before and after the change point.FindingsNumerical illustration suggests that the proposed model gives better results in comparison to the existing models.Originality/valueThe existing literature on change point-based software reliability growth model assumes that the fault correction trend before and after the change is governed by the same distribution. This seems impractical as after the change in the testing environment, the trend of fault detection or correction may not follow the same trend; hence, the assumption of same distribution function may fail to predict the potential number of faults. The modelling framework assumes different distributions before and after change point in developing a software reliability growth model.
Knowledge management practices in an agribusiness chain: differences between farmers who are members of agricultural cooperatives and suppliers of firms
Authors: Zanuzzi Cinthya Mônica da Silva , Foguesatto Cristian Rogério , Tonial Graciele , Pivoto Dieisson , Selig Paulo Maurício 
Published: July 2021

PurposeDriven by scientific and technological intensification, Brazilian agribusinesses are among the main food producers and exporters worldwide. Knowledge management contributes to the development of agribusinesses. The objective of this study is to analyze knowledge management practices in the supply chain of broilers at the level of farmers and compare the differences between farmers who are members of cooperatives, and those who are suppliers of firms.Design/methodology/approachUsing data from a sample of broiler farmers (n = 240, where 80 respondents are associated with cooperatives) from Brazil, descriptive statistics were used to measure the four knowledge management dimensions (leadership, people, process and technology). The Mann–Whitney test was performed to verify the difference in the adoption of knowledge management practices between farmers who are members of cooperatives, and those who are suppliers of firms.FindingsThe results showed significant differences between the analyzed groups of broiler farmers that are members of an agricultural cooperative and suppliers of firms. Farmers who supply firms adopt knowledge management practices with greater intensity. They are also more technified and have a larger scale of production.Research limitations/implicationsThe study was conducted in a single agribusiness chain. Future studies may look at another method of knowledge management assessment to see if the results will be similar.Practical implicationsThe results can contribute to the development of programs and policies, incorporating knowledge management into agribusiness as a competitive strategy.Originality/valueWhile knowledge management is a widely studied topic, there has been little focus on this subject with regard to agribusiness. Empirical findings of an important agribusiness supply chain are provided and show the differences in knowledge management perceptions between farmers who are members of cooperatives and those who are suppliers of firms.
Level of awareness of formwork design in the Ghanaian construction industry; enabling future technology application
Authors: Boakye Danquah Clement , Acheampong Alex , Adjei-Kumi Theophilus 
Published: July 2021

Purpose
In the Ghanaian construction industry (GCI), the option for stakeholders to adopt formwork design as a building construction requirement is uncommon place. This is due to the low level of awareness and practice of formwork design. As a result of this, there have been formwork accidents, cost and time overruns in construction. This paper aims to solicit the view of stakeholders on the awareness of formwork design practices in the GCI.

Design/methodology/approach
This paper adopted the interpretivism research philosophy and inductive reasoning. Through a semi-structured interview guide, data was collected. The data (interview) recorded was transcribed using the Amberscript web application. This study used thematic analysis in analyzing the data collected using Nvivo 10 software.

Findings
The data collected from the 22 professionals indicated that the respondents were unaware of the concept of formwork design and its practice, neither could they speak to the existence of any specific regulation nor code of practice. However, the respondents established that there was a need to design formwork and stated some benefits of it.

Originality/value
From the literature, little research has been done on formwork design and its context in the GCI is yet to be explored. This research attempts to fill this gap. The findings indicate that to practice formwork design, there must be education and training of human resources for formwork design, there must be a code of practice to guide the design process and legal backing through policies and regulations to mandate the design.
Exploring determinants of brand extension attitude to promote optimal levels of movement among children and youth
Authors: Lithopoulos Alexander , Dacin Peter A. , Tremblay Mark S. , Latimer-Cheung Amy E. 
Published: July 2021

Purpose
Some health behaviour promotion organizations are interested in promoting multiple behaviours to increase their health impact on a population. However, many of these organizations are better known for promoting only certain behaviours. The purpose of this study is to examine responses to an organization with a narrow brand (i.e. ParticipACTION) in its promotion of the different recommended movement-related behaviours (i.e. sleep, limited sedentary behaviour [SB], light physical activity [PA] and moderate to vigorous PA) to children. Potential brand-related determinants of attitude towards promotion of each behaviour (i.e. extension attitude) were specifically examined.

Design/methodology/approach
Data were collected in 2017 using an online cross-sectional survey. Canadian parents with at least one child 5–12 years of age (N = 109) were recruited through online advertisements and word-of-mouth. One multiple regression per behaviour was conducted. Extension attitude was the dependent variable and brand attitude, fit and the interaction between brand attitude and fit were the predictors.

Findings
For light and moderate PA, brand attitude was a strong predictor. For limited SB and sleep, fit was the dominant predictor. However, for light and moderate PA and limited SB, an interaction indicated that a positive brand attitude and the perception of high fit between the brand and the behaviour leads to the most positive extension attitude.

Practical implications
The findings suggest that movement promotion organizations should ensure parents have a positive brand attitude and have high perceptions of fit between the brand and the promoted behaviour.

Originality/value
This study provides the first evidence that determinants of brand extension attitude observed in the commercial domain also apply in the movement promotion domain. This research provides important information to organizations regarding how to effectively promote various behaviours when interested in expanding their usual repertoire.
How does corporate social responsibility affect firm leverage?
Authors: Ho Kung-Cheng , Wang Qian , Sun Xianming , Wang Leonard F.S. 
Published: July 2021

PurposeA commitment to social responsibility is indispensable to the sustainable development of a firm, and corporate social responsibility (CSR) has become a key corporate evaluation indicator. CSR's economic consequences have long been a hot topic in academic research. The authors analyze the relationship between CSR and corporate capital structure and also investigate channels through which such links are transmitted.Design/methodology/approachUsing CSR score (CSRS) data published by China's Hexun (hexun.com) from 2010 to 2018, the authors control some influencing variables of the nature and characteristics of enterprises and discover that CSR can effectively improve firm leverage using ordinary least square regression. In addition, the research results remain robust for other CSR proxies, different dimensions of CSR, alternative measures of leverage and endogenous testing.FindingsThe authors discover that CSR can significantly reduce firm leverage. In addition, the research results confirm that investor attention and liquidity are the main channels by which CSR effectively reduces leverage, and other influence channels are worthy of further exploration. After examining the substitution variables and endogenous characteristics of CSR, the results remain robust.Originality/valueRegarding decision-making and governance within companies, the authors conclude that CSR reports not only announce the status of CSR activities to corporate stakeholders but also reveal information on corporate financial decisions. Considering the widespread agency problems in companies, management may take advantage of investor understanding of CSR reports and conceal real information or disclose false information. They distort investors' understanding of the financial policies of financial reports to achieve their self-interests. Hence, companies must reinforce their governance and construct comprehensive monitoring mechanisms for CSR disclosure to protect their investors, establish a strong corporate reputation and facilitate long-term development.
Setting the boundaries of COVID-19 lockdown relaxation measures
Authors: Saab Samer , Al Abbas Mohammad , Samaha Rola Najib , Jaafar Rayana , Saab Khaled Kamal , Saab Jr Samer Said 
Published: July 2021

PurposeThe purpose of this paper is to develop a simple deterministic model that quantifies previously adopted preventive measures driven by the trend of the reported number of deaths in both Italy and India. In addition, the authors forecast the spread based on some selected quantified preventive measures. The optimal exiting policy is derived using the inverse dynamics of the model. Furthermore, the model developed by the authors is dependent on the daily number of deaths; as such, it is sensitive to the death rate but remains insensitive to trends in deaths.Design/methodology/approachIn the wake of COVID-19, policymakers and health professionals realized the limitations and shortcomings of current healthcare systems and pandemic response policies. The need to revise global and national pandemic response mechanisms has been thrust into the public spotlight. To this end, the authors devise an approach to identify the most suitable governmental non-pharmaceutical intervention (NPI) policies, previously adopted in a community, country or region that serve as the foundation for most pandemic strategies.FindingsLeveraging Italy, the authors compare the aftermath by considering three scenarios: (a) recently adopted preventive measures, (b) strictest preventive measures previously adopted, and (c) the optimal exiting policy. In comparison to the second scenario, the authors estimate about twice the number of recoveries and deaths within five months under the first scenario and about 80 times more under the optimal scenario. Whereas in India, the authors applied one scenario of recently adopted preventative measures to showcase the rapid turnaround of their model. According to the new timeline, almost 90% of all deaths in India could have been prevented if the policies implemented in April 2021 were put in place three months prior, i.e. in January 2021.Originality/valueThe novelty of the proposed approach is in the use of inverse dynamics of a simple deterministic model that allows capturing the trend of contact rate as a function of adopted NPIs, regardless of pandemic type.
When abusive supervision leads to good performance: an exploration of the bright side of abusive supervision
Authors: Hameed Filza , Shaheen Sadia , Ahmad Bashir , Anwar Muhammad Mudassar , Ahmad-ur-Rehman Muhammad 
Published: July 2021

PurposeThe successful performance of organizations depends on the smooth working relations between their leaders and employees. Considering the importance of the behaviors of leaders/supervisors, this study intends to explore the bright side of abusive supervision on the performance of trainees in different police colleges in Pakistan.Design/methodology/approachThe data for this study were collected from police colleges and supervisors in Pakistan, and the sample comprised police trainees and their instructors (N = 254 responses from 50 instructors and 254 police trainees). The data were analyzed using structural equation modeling via Amos to test the hypothesized relationships.FindingsResults reveal a positive connection between abusive supervision and the performance of trainees. Moreover, the moderating role of passion for a cause in the relationship between abusive supervision and trainee performance is supported.Research limitations/implicationsDespite its relevance, this study has certain limitations. First, this study was conducted in a specific occupational and cultural context. A comprehensive understanding of the diverse occupational and cultural context considerations can increase this study's value. Second, this study used cross-sectional data for analysis, which hindered us from making causal inferences. For a clear and improved understanding, longitudinal studies can help facilitate the process.Originality/valueThis study intends to explore the bright side of abusive supervision on the performance of trainees in different police colleges in Pakistan. The literature demonstrated the “dark side” of abusive supervision on work-related attitudes and behaviors. However, few studies investigated or explored the “bright side” of abusive supervision.