scholarly journals Geometric Morphometrics Captures Variations in Wing Development of Black Soldier Flies

2021 ◽  
Author(s):  
Obediah Gyimah ◽  
Rofela Combey ◽  
Ebenezer Ato Ewusie ◽  
Isaac Badu ◽  
Simon Yeboah ◽  
...  
Keyword(s):  
Organic Fertilizer ◽  
Partial Least Square ◽  
Least Square ◽  
Wing Development ◽  
Black Soldier Fly ◽  
Significant Difference ◽  
The Impact ◽  
Food Substrate ◽  
Anal Vein ◽  
Food Substrates

Abstract The black soldier fly is considered an important insect due to its ability to convert organic wast into high quality organic fertilizer. Studies have shown that food quality at the larvae stage contributes greatly to their development. In this study, we applied geometric morphometric measurements to access the variations in the black soldier fly fed on different food substrates as captured in the wings. Eggs of black soldier fly were collected from the field and cultured on different food substrates such as; restaurant waste, fruit waste, wheat brand and layer meal until maturity. The right fore wing of 140 individuals of black were used for the experiment. The results showed a significant difference between the shape of landmarks within each food substrate group. Landmark 3, 7 and 9, corresponding to end of first radial vein R1, intersession between medio-cubital vein and cubito-anal vein (m-cu and CuA), and intersission between cubito Anal vein and Anal vein (CuA + Cup) contributed most to the variation between the different food substrates. Partial least square showed a strong association between food substrate and wing development. Therefore, the variations in wing development could be due to the impact of nutritional compositions quality of the different food substrates.

scholarly journals ANALISIS DAMPAK REMUNERASI DAN LINGKUNGAN KERJA TERHADAP KINERJA DOKTER SPESIALIS DENGAN MOTIVASI KERJA SEBAGAI VARIABEL MEDIASI

2019 ◽  
Vol 8 (1) ◽  
pp. 48
Author(s):  
Hartati Hartati ◽  
Rima Semiarty ◽  
Verinita Verinita
Keyword(s):  
Work Motivation ◽  
Partial Least Square ◽  
Least Square ◽  
Working Environment ◽  
P Value ◽  
Hospital Organization ◽  
Significant Difference ◽  
And Performance ◽  
The Impact ◽  
Motivation To Work

Performance specialists is something that is very important in order to achieve the objectives Hospital Organization for specialists is the frontline in the service of clients in the hospital so important to know the factors that influence it. The purpose of this study is to describe the impact / influence of the system of remuneration and working environment on the performance and motivation as an intervening or mediating variable in the installation department of obstetrics and child XYZ Hospital Padang. This study uses a quantitative approach to research explanatori. Sampling in the Census, ie as many as 36 people obstetricians and children. Data analysis technique used in this study using the approach Partial Least Square (PLS). The results showed that there was no significant effect between remuneration and the performance of the T statistics amounted to 0.549 (less than 1.96) and the p value 0.002 (greater than 0.05) so the hypothesis is rejected. No significant difference between the work environment and performance statisticsT is smaller than TTable and p value is greater than alpha so the hypothesis is rejected. No significant difference between the motivation to work on performance because the hypothesis is rejected. A significant difference between the remuneration and motivation to work as much as 2.8%. No significant difference between the working environment on work motivation for the hypothesis is rejected. While remuneration on performance mediated by labor motivation does not have a significant effect.

ANALYSIS THE IMPACT OF THE IMPLEMENTATION OF QUALITY MANAGEMENT SYSTEM (QMS) AND SAFETY AND HEALTHY AT WORK MANAGEMENT SYSTEM (SHWMS / SMK3) ON THE JOB PERFORMANCE OF EMPLOYEES

2018 ◽  
Vol 3 (01) ◽  
pp. 45
Author(s):  
Nur Hidayat ◽  
Indah Kusuma Hayati
Keyword(s):  
Quality Management ◽  
Job Performance ◽  
Latent Variables ◽  
Management System ◽  
Quality Management System ◽  
Partial Least Square ◽  
Least Square ◽  
Global Challenges ◽  
The Impact ◽  
Work Management

Recently, the evolvement of globalization era has been the global challenges that cannot be avoided either by private or government sectors, and they are requested to be survived encountering such the condition. The implementation of Quality Management System (QMS) in the operational company is the way how to guarantee the quality of products or services offered to the people. One of the purposes of QMS implementation is to provide a prime satisfaction to the customers. The impact of QMS implementation is expected to increase job performance of the employees. Besides the implementation of Quality Management System (QMS), the impact of global challenges has been increasing the competitive efforts to execute more effective production process. However, it has required manpower protection accordingly. This research aims to find out whether the implementation of quality management system and safety and healthy at work management system have impacted on the job performance of employees. Objects of this research are the employees in the production department at PT Guna Senaputra Sejahtera Plant 1 Bogor. Data analysis technique of this research has applied software Smart PLS (Partial Least Square). PLS has estimated a model of correlation among the latent variables and correlation between latent variables and its indicators. Result of data processing has indicated that the implementation of Quality Management System (QMS) and system of safety and healthy at work have positively and significantly impacted job performance of employees.Keywords : Quality Management System (QMS), Safety and Healthy at Work System ( SHWS / SMK3), and Job Performance of Employees

scholarly journals Application of Blockchain for Supply Chain Financing: Explaining the Drivers Using SEM

2021 ◽  
Vol 7 (3) ◽  
pp. 167
Author(s):  
Mohammad Rokibul Kabir ◽  
Md. Aminul Islam ◽  
Marniati ◽  
Herawati
Keyword(s):  
Supply Chain ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Research Work ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Innovation Research ◽  
Supply Chain Financing ◽  
The Impact

Owing to the lack of research in emerging Asian nations, this research aimed to unearth the determinants of blockchain acceptance for supply chain financing by a Bangladeshi financing company called IPDC. Centred on a technology acceptance framework called UTAUT (unified theory of acceptance and use of technology) and open innovation research, an expanded model with a mediating variable is developed for this study. This research work employs the deductive inference method in conjunction with the positivism paradigm. A structural questionnaire was used to gather data, which were then processed through Smart-PLS (partial least square) for SEM (structural equation modeling). The survey includes all the people who are directly or indirectly involved in the supply chain financing platform of IPDC. The study consists of seven direct hypotheses and one mediating hypothesis. The results show that all the direct hypotheses except the impact of social influence on the behavioural intention to use (BINTU) blockchain are significant. The mediating hypothesis indicating the role of BINTU in the relationship between facilitating conditions (FCON) and the actual use of blockchain is also supported. FCON and BINTU together explain 88.7% variation in blockchain use behaviour for supply chain financing. The research advances past findings by employing an expanded UTAUT framework and validating observations with the other relevant studies throughout the world.

scholarly journals Evaluation of Minimum Preparation Sampling Strategies for Sugarcane Quality Prediction by vis-NIR Spectroscopy

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2195
Author(s):  
Lucas de Paula Corrêdo ◽  
Leonardo Felipe Maldaner ◽  
Helizani Couto Bazame ◽  
José Paulo Molin
Keyword(s):  
Sample Preparation ◽  
Prediction Models ◽  
Spectral Response ◽  
Nir Spectroscopy ◽  
Quality Parameters ◽  
Partial Least Square ◽  
Least Square ◽  
Sample Type ◽  
Sampling Strategies ◽  
Significant Difference

Proximal sensing for assessing sugarcane quality information during harvest can be affected by various factors, including the type of sample preparation. The objective of this study was to determine the best sugarcane sample type and analyze the spectral response for the prediction of quality parameters of sugarcane from visible and near-infrared (vis-NIR) spectroscopy. The sampling and spectral data acquisition were performed during the analysis of samples by conventional methods in a sugar mill laboratory. Samples of billets were collected and four modes of scanning and sample preparation were evaluated: outer-surface (‘skin’) (SS), cross-sectional scanning (CSS), defibrated cane (DF), and raw juice (RJ) to analyze the parameters soluble solids content (Brix), saccharose (Pol), fibre, pol of cane and total recoverable sugars (TRS). Predictive models based on Partial Least Square Regression (PLSR) were built with the vis-NIR spectral measurements. There was no significant difference (p-value > 0.05) between the accuracy SS and CSS samples compared to DF and RJ samples for all prediction models. However, DF samples presented the best predictive performance values for the main sugarcane quality parameters, and required only minimal sample preparation. The results contribute to advancing the development of on-board quality monitoring in sugarcane, indicating better sampling strategies.

Customer satisfaction with sommelier services of upscale Chinese restaurants in Hong Kong

2019 ◽  
Vol 31 (4) ◽  
pp. 532-554 ◽  
Author(s):  
Tommy Lau ◽  
Man Lai Cheung ◽  
Guilherme D. Pires ◽  
Carol Chan
Keyword(s):  
Hong Kong ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Customer Loyalty ◽  
Positive Impact ◽  
Partial Least Square ◽  
Least Square ◽  
Survey Method ◽  
Content Type ◽  
The Impact

Purpose The abolishment of the wine tax in Hong Kong has led to increased wine consumption and increased demand for wine-related professionals, such as sommeliers. Yet the importance of sommeliers’ value-adding performance in the context of upscale Chinese restaurants has not been examined. To address this gap, the SERVQUAL framework is adopted to examine the influence of sommeliers’ service quality (SQ) on customer satisfaction (CS) and loyalty in the context of upscale Chinese restaurants in Hong Kong. Design/methodology/approach The survey method is used to collect data from 302 units of the population of interest, partial least square-structural equation modelling (PLS-SEM) is used to test the links between constructs. Findings Four of the seven dimensions of sommeliers’ service quality, namely, empathy, tangibles, credibility and assurance, have a significant positive impact on customer satisfaction and customer loyalty, whereas the impact of perceived value and responsiveness on customer satisfaction and customer loyalty is positive but only marginally significant. Reliability has a weak and non-significant impact on customer satisfaction and customer loyalty. Research limitations/implications Examining a small number of upscale Chinese restaurants in Hong Kong limits generalisation of the findings to other contexts. Replication of the research in different contexts will enhance generalizability. In terms of implications, the discussion highlights the importance of sommeliers’ service performance on customers’ SQ perceptions SQ, CS and loyalty, all of which are important variables for restaurateurs. Originality/value To the best of the authors’ knowledge, this is the first study of the influence of the quality of sommelier’s SQ on CS and loyalty in upscale Chinese restaurants in Hong Kong. Given the lack of attention to this service role in the literature, the study contributes theory from which further understanding can develop.

Field Nitrogen Dioxide and Ozone Monitoring Using Electrochemical Sensors with Partial Least Squares Regression

2021 ◽  
Vol 5 (1) ◽  
pp. 61
Author(s):  
Rachid Laref ◽  
Etienne Losson ◽  
Alexandre Sava ◽  
Maryam Siadat
Keyword(s):  
Nitrogen Dioxide ◽  
Electrochemical Sensors ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Calibration Model ◽  
Least Squares Regression ◽  
Monitoring Networks ◽  
Concentration Estimation ◽  
The Impact

Low-cost gas sensors detect pollutants gas at the parts-per-billion level and may be installed in small devices to densify air quality monitoring networks for the spread analysis of pollutants around an emissive source. However, these sensors suffer from several issues such as the impact of environmental factors and cross-interfering gases. For instance, the ozone (O3) electrochemical sensor senses nitrogen dioxide (NO2) and O3 simultaneously without discrimination. Alphasense proposes the use of a pair of sensors; the first one, NO2-B43F, is equipped with a filter dedicated to measure NO2. The second one, OX-B431, is sensitive to both NO2 and O3. Thus, O3 concentration can be obtained by subtracting the concentration of NO2 from the sum of the two concentrations. This technique is not practical and requires calibrating each sensor individually, leading to biased concentration estimation. In this paper, we propose Partial Least Square regression (PLS) to build a calibration model including both sensors’ responses and also temperature and humidity variations. The results obtained from data collected in the field for two months show that PLS regression provides better gas concentration estimation in terms of accuracy than calibrating each sensor individually.

scholarly journals PENGARUH SERVANT LEADERSHIP TERHADAP KOMITMEN ORGANISASIONAL DAN KINERJA PEGAWAI (Studi pada Pegawai Negeri Sipil di RSUD Wangaya Kota Denpasar)

2017 ◽  
pp. 2731
Author(s):  
I Gede Hendry Kamanjaya ◽  
Wayan Gede Supartha ◽  
IG.A. Manuati Dewi
Keyword(s):  
Organizational Commitment ◽  
Servant Leadership ◽  
Structural Equation ◽  
Employee Performance ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Inferential Analysis ◽  
The Impact

This study is focused to analyze the impact of servant leadership on employee performance in relation to the organizational commitment mediation. It is a causality research, providing an explanation and understanding about the impact of servant leadership on employee performance and the impact of servant leadership on organizational commitment. The sample of the research are 90 civil servants in Wangaya General Hospital as the respondents. In this study questionares are used as instuments of the research. Descriptive and inferential analysis were applied as method of analysis and Structural Equation Model-Partial Least Square (SEM-PLS) as a tool. The result is that servant leadership does not have any significant effect on employees performance, servant leadership has a positive and significant effect on organizational commitment, organizational commitment has positive and significant effect on employee performance, and the impact on servant leadership and employee performance through the role of organizational commitment as mediating variable is supported.

scholarly journals How Creative Destruction Functions in Corporate Entrepreneurial Process: An Empirical Investigation of Schumpeterian Concept in Engineering Firms Setting in Pakistan

2021 ◽  
Author(s):  
Muhammad Zubair Alam ◽  
Shazia Kousar ◽  
Muhammad Rizwan Ullah ◽  
Amber Pervaiz
Keyword(s):  
Structural Equation ◽  
Corporate Entrepreneurship ◽  
Creative Destruction ◽  
Positive Influence ◽  
Opportunity Recognition ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Engineering Firms ◽  
The Impact

Abstract Schumpeter's idea of creative destruction (CD) explains innovation functions in organisations. This paper investigates the CD concept in engineering firms by explaining how technical opportunity (TO) transforms into corporate entrepreneurship (CE) actions once opportunities have a market orientation (MO). A survey conducted using a structured questionnaire with 132 managers in engineering firms in Pakistan. Structural Equation Modeling (SEM) using Partial Least Square (PLS) approach has been used to analyse the data. Results reveal that MO and TO exerts a positive influence on CE. MO is the reason for the emergence of TO, which is exploited by CE's in engineering firms. CD intensifies the impact of MO on TO significantly. Opportunity recognition in engineering firms is distinguished and bounded by MO and technical viability. Engineering firms need to identify gaps in the market through naturally occurring obsolescence of products and services (CD) to create TO with appropriate MO. This study has revived a classical debate over opportunity recognition by proposing a CE model by incorporating external factors. The Schumpeterian opportunity recognition process and CD have been explained for engineering firms that are distinguished from other types of firms. Kirznerian opportunity recognition view has also been debated to dialect Schumpeterian view.

scholarly journals Pengaruh Personal Attitude dan E-learning terhadap Minat Berwirausaha pada Era Pandemi Covid-19

2021 ◽  
Vol 11 (1) ◽  
pp. 90
Author(s):  
Shita Lusi Wardhani ◽  
Manggar Wulan Kusuma
Keyword(s):  
Online Learning ◽  
Online Survey ◽  
Partial Least Square ◽  
Least Square ◽  
Business Practices ◽  
Community Activities ◽  
Personal Attitude ◽  
Offline Learning ◽  
E Learning ◽  
The Impact

<em>The Covid-19 outbreak and the enactment of restrictions on community activities have had many impacts, one of which is the change in teaching methods from offline learning or face-to-face activities to online learning or distance learning</em><em>. These changes can affect the learning process, especially subjects related to business practices, such as entrepreneurship. In online learning, several factors contribute to the successful delivery of online courses. However, little is known about the impact of these factors on Indonesian students' interest in entrepreneurship. Therefore, the purpose of this study was to examine the effect of personal attitude and e-learning on interest in entrepreneurship in the Covid-19 pandemic era. Data was collected through an online survey of 190 students who were taking entrepreneurship courses at selected universities in Yogyakarta. Data collected through online surveys were analyzed using Smart Partial Least Square (SmartPLS) 3.0. The results of this study found that interest in entrepreneurship is significantly influenced by personal attitude and e-learning. This study also found that perceived learning was not able to moderate the effect of e-learning on entrepreneurial interest.</em>

scholarly journals Compensation, Career Development, and Job Satisfaction as the Antecedent of Nurse Turnover Intention

2021 ◽  
Vol 10 (2) ◽  
pp. 139-147
Author(s):  
Nur Hidayah ◽  
Hana Rizki Ananda
Keyword(s):  
Job Satisfaction ◽  
Career Development ◽  
Turnover Intention ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Partial Least Square ◽  
Least Square ◽  
Cross Sectional ◽  
Professional Nurses ◽  
The Impact

The shortage of professional nurses in a hospital is to threaten service quality and patient safety. Inadequate compensation, no career development, and dissatisfaction can increase turnover intention. Increasing professional nurses' resilience is better than recruiting new nurses from an economic perspective. The research analyzed the effect of compensation and carrier development on job satisfaction and the impact on nurses' turnover intention in a private hospital in Yogyakarta, Indonesia. A quantitative research design with the cross-sectional approach was used. The sampling technique was simple random sampling. The samples consisted of 47 nurses who made a self-reported by filling out the questionnaire. Data analysis used Partial Least Square. The study found that compensation and career development had direct and significant effects on Turnover Intention. Moreover, compensation and career development also had indirect and significant Turnover Intention effects through job satisfaction as the intervening variable.

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