scholarly journals The Effect Of Partner Capabilities, Economic Benefits And Trust To Continue Channel Partnership by MSMEs

2021 ◽  
Vol 2 (7) ◽  
pp. 483-502
Author(s):  
Mohammad Syukron Aliyafi'iy ◽  
Sanaji
Keyword(s):  
Business Model ◽  
Economic Benefits ◽  
Partial Least Square ◽  
Least Square ◽  
Big Business ◽  
Business Partnership ◽  
Catch Up ◽  
Pls Method

The development of a business model requires SMEs to develop and strive to make their business run smoothly and develop for the better. Therefore, to catch up with big business competitors, it requires business cooperation. This study aims to determine the effect of partner capabilities and economic benefits on the decision to continue a business partnership that mediated by trust. To analyze the model, this study used 80 SMEs that partnered with Lamongan Mart. We used the partial least square (PLS) method to test the hypothesis. The results show that there is a significant effect of partner capability on trust. Economic benefits have a significant effect on trust. The decision to continue the partnership is significantly influenced by the partner's capabilities and economic benefits. Trust has a significant effect on the decision to continue the partnership. In conclusion, trust can mediate partner capabilities and economic benefits to the decision to continue the partnership.

scholarly journals Uncovering the Providers’ Continuance Intention of Participation in the Sharing Economy: A Moderated Mediation Model

2021 ◽  
Vol 13 (9) ◽  
pp. 5095
Author(s):  
Jiang Jiang ◽  
Rui Feng ◽  
Eldon Y. Li
Keyword(s):  
Sharing Economy ◽  
Economic Benefits ◽  
Peer To Peer ◽  
Partial Least Square ◽  
Least Square ◽  
Mediating Effect ◽  
Utilization Efficiency ◽  
Continuance Intention ◽  
Hedonic Value ◽  
Ride Sharing

The sharing economy has evolved into a promising business concept that enables individuals to share their idle resources, improving resource utilization efficiency commercially. Recently, it has gained enormous academic attention. However, little concern has been given to the behavior of individual providers on the supply side. This paper aims to uncover the motivational and trust-based providers’ continuance intention of participation in the context of peer-to-peer ride-sharing services. Based on the survey data from 202 providers and the partial least-square analysis, we confirm the mediating effect of attitude in the relationships between participation continuance intention; trust; and three motivational dimensions: economic benefits, social–hedonic value, and sustainability. We further confirm the moderating effects of innovativeness using PROCESS. The results show that economic benefits, social–hedonic value, and sustainability significantly affect providers’ participation continuance intention. Moreover, attitudes toward the sharing economy play a complementary partial-mediating role in the relationships from economic benefits and social–hedonic value to participation continuance intention, which is negatively moderated by innovativeness. Trust does not significantly affect providers’ attitude toward the sharing economy and participation continuance intention in the peer-to-peer ride-sharing context.

Model Optimization and Stability of Hemoglobin Analysis in Human Soluble Blood Samples by FTIR/ATR Spectroscopy

2011 ◽  
Vol 55-57 ◽  
pp. 1168-1171
Author(s):  
Tao Pan ◽  
Ai Hong Peng ◽  
Wen Jie Huang
Keyword(s):  
Signal To Noise Ratio ◽  
Attenuated Total Reflection ◽  
Partial Least Square ◽  
Least Square ◽  
Model Optimization ◽  
Optimal Model ◽  
Blood Samples ◽  
Quantification Method ◽  
Atr Spectroscopy ◽  
Pls Method

Using Fourier transform infrared spectroscopy (FTIR), attenuated total reflection (ATR) technology and partial least square (PLS) method, the rapid quantification method of hemoglobin (HGB) in human soluble blood samples was established. Based on the distribution of samples’ HGB chemical value and absorbance on 1543 cm-1 which had the highest signal to noise ratio for HGB, all samples were divided into calibration set and prediction set for 50 times. PLS models were established for all divisions, based on the average data RMSEPAve, the stable optimal model was selected, the corresponding PLS factor, RMSEPAve and RP,Ave were 2, 6.81 g/L and 0.943 respectively.

scholarly journals Comparison of Hyperspectral Imaging and Near-Infrared Spectroscopy to Determine Nitrogen and Carbon Concentrations in Wheat

2021 ◽  
Vol 13 (6) ◽  
pp. 1128
Author(s):  
Iman Tahmasbian ◽  
Natalie K Morgan ◽  
Shahla Hosseini Bai ◽  
Mark W Dunlop ◽  
Amy F Moss
Keyword(s):  
Infrared Spectroscopy ◽  
Hyperspectral Imaging ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Economic Benefits ◽  
Partial Least Square ◽  
Least Square ◽  
Statistical Population ◽  
Processing Plants ◽  
C And N

Hyperspectral imaging (HSI) is an emerging rapid and non-destructive technology that has promising application within feed mills and processing plants in poultry and other intensive animal industries. HSI may be advantageous over near infrared spectroscopy (NIRS) as it scans entire samples, which enables compositional gradients and sample heterogenicity to be visualised and analysed. This study was a preliminary investigation to compare the performance of HSI with that of NIRS for quality measurements of ground samples of Australian wheat and to identify the most important spectral regions for predicting carbon (C) and nitrogen (N) concentrations. In total, 69 samples were scanned using an NIRS (400–2500 nm), and two HSI cameras operated in 400–1000 nm (VNIR) and 1000–2500 nm (SWIR) spectral regions. Partial least square regression (PLSR) models were used to correlate C and N concentrations of 63 calibration samples with their spectral reflectance, with 6 additional samples used for testing the models. The accuracy of the HSI predictions (full spectra) were similar or slightly higher than those of NIRS (NIRS Rc2 for C = 0.90 and N = 0.96 vs. HSI Rc2 for C (VNIR) = 0.97 and N (SWIR) = 0.97). The most important spectral region for C prediction identified using HSI reflectance was 400–550 nm with R2 of 0.93 and RMSE of 0.17% in the calibration set and R2 of 0.86, RMSE of 0.21% and ratio of performance to deviation (RPD) of 2.03 in the test set. The most important spectral regions for predicting N concentrations in the feed samples included 1451–1600 nm, 1901–2050 nm and 2051–2200 nm, providing prediction with R2 ranging from 0.91 to 0.93, RMSE ranging from 0.06% to 0.07% in the calibration sets, R2 from 0.96 to 0.99, RMSE of 0.06% and RPD from 3.47 to 3.92 in the test sets. The prediction accuracy of HSI and NIRS were comparable possibly due to the larger statistical population (larger number of pixels) that HSI provided, despite the fact that HSI had smaller spectral range compared with that of NIRS. In addition, HSI enabled visualising the variability of C and N in the samples. Therefore, HSI is advantageous compared to NIRS as it is a multifunctional tool that poses many potential applications in data collection and quality assurance within feed mills and poultry processing plants. The ability to more accurately measure and visualise the properties of feed ingredients has potential economic benefits and therefore additional investigation and development of HSI in this application is warranted.

scholarly journals Studi Mediasi Kepuasan Pelanggan Pada Industri Retail: Peran Kualitas Layanan dan Implikasinya terhadap Loyalitas Pelanggan

IQTISHODUNA ◽  
2020 ◽  
Vol 16 (2) ◽  
pp. 115-130
Author(s):  
Mohammad Nur Safri Ramadhan ◽  
Nur Asnawi
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Direct Effect ◽  
Customer Loyalty ◽  
Comparative Research ◽  
Partial Least Square ◽  
Least Square ◽  
Retail Service ◽  
Retail Service Quality ◽  
Pls Method

The purpose of this research is to determine the direct effect of retail service quality on customers' loyalty and satisfaction, the effect of customer satisfaction on their loyalty and how much customer satisfaction mediates retail service quality on customers' loyalty on Super Indo Bendungan Sutami customers, Malang. This research method uses comparative research with a quantitative approach. The sample used was 120 respondents with collected data by a questionnaire. The data analysis in this study used the Partial Least Square (PLS) method. The results of this research indicate that there is a direct effect of the retail service quality variable upon customers' loyalty and also on customer satisfaction which has a direct influence on customers of Super Indo Bendungan Sutami. Meanwhile, loyalty and can mediate the effect of retail service quality on customer loyalty.               

scholarly journals Variabel Pengajuan Sertifikasi Halal Usaha Kecil Keripik Tempe di Kota Malang

AGROINTEK ◽  
2021 ◽  
Vol 15 (3) ◽  
pp. 736-747
Author(s):  
Sucipto Sucipto ◽  
Elvira Moudhy Syahputri ◽  
Riska Septifani
Keyword(s):  
Local Government ◽  
Small Business ◽  
Consumer Demand ◽  
Partial Least Square ◽  
Least Square ◽  
Costs And Benefits ◽  
Tourism Destinations ◽  
Pls Method

Malang is one of the halal tourism destinations in Indonesia. Halal certification of superior food souvenirs such as tempeh chips is important to support halal tourism. In fact, the small business of halal certified chips is still limited. This study aimed to identify variables that affect the tempeh crispy small business submission for halal certification. The study used the Partial Least Square (PLS) method. Data was obtained from a questionnaire of 40 respondents consisting of 20 tempeh chips not halal certified and 20 businesses that were halal certified. Research variables include producer awareness, halal certification procedures, halal certification costs, halal certification regulations, and consumer demand. The results showed that the variable halal certification regulations and consumer demand significantly influence the submission of halal certification. Awareness and knowledge of producers of the procedures, costs, and benefits of halal certification can be increased in collaboration with the Halal Product Guarantee Agency (HPGA), the industrial offices of local government, and universities to provide information, improve, and assist producers to submit halal certification.

scholarly journals The investigation of the effects of spiritual values and behaviors on business development and performance of Muslim preneurship

2018 ◽  
Vol 60 (2) ◽  
pp. 730-740
Author(s):  
Mahyarni Mahyarni ◽  
Astuti Meflinda ◽  
Henni Indrayani
Keyword(s):  
Design Methodology ◽  
Partial Least Square ◽  
Least Square ◽  
Spiritual Values ◽  
Content Type ◽  
Data Processing Method ◽  
The Future ◽  
West Sumatra ◽  
And Performance ◽  
Pls Method

Purpose This paper aims to determine the effect between variables and formulate policies related to Muslim business preneurship in the future. Design/methodology/approach Partial least square (PLS) data processing method is used is this study. Findings The result shows that Muslim preneurship spiritual values will lead to an increase in Muslim preneurship behaviors in running a business on society and performance on society. Indonesian people realize that Muslim preneurship development at the present time cannot be separated from the development of small- and medium-sized enterprises spread throughout the country. Originality/value The PLS method that was applied to determine the effect between variables and formulate policies related to Muslim businesses preneurship in the future. This research location was Riau and West Sumatra, Indonesia, and the variables were spiritual values and behavioral and developmental Muslim business preneurship.

Recursive PLS Modeling of Aromatics and Olefins in Gasoline

2013 ◽  
Vol 740 ◽  
pp. 267-272 ◽  
Author(s):  
Jing Fang Wang
Keyword(s):  
Near Infrared ◽  
Partial Least Square ◽  
Least Square ◽  
Oil Refining ◽  
Enterprise Application ◽  
Calibration Models ◽  
Recursive Pls ◽  
Comparison Of The Results ◽  
Pls Method ◽  
Separate Calibration

The separate calibration models of aromatics and olefins were established for gasoline through recursive partial least square (R-PLS) method in this paper.The some oil refining enterprise application has achieved better effect on the software being realized by R-PLS method. The calibration models were validated through comparison of the results determined by fluorescent indicator adsorption (FIA) and near infrared spectroscopy (NIR) methods.The NIR analysis results were well coincident with those of FIA method.The NIR can not only raise the analysis efficiency and lower the analysis cost,but also has better precision compared with FIA method.

scholarly journals Factors Affecting Continuance Intention of FinTech Payment among Millennials in Jakarta

2020 ◽  
Vol 5 (4) ◽  
Author(s):  
Norma Diana ◽  
Farah Margaretha Leon
Keyword(s):  
Economic Benefits ◽  
Influential Factors ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Financial Risks ◽  
Continuance Intention ◽  
Security Risks ◽  
Operational Risks ◽  
Legal Risks

The background of this research is related to a phenomenon of millennials who prefer to change their financial behavior into cashless transactions from cash-based transactions. Factors of benefits (economic benefits, seamless transactions, and convenience) and risks (financial risks, legal risks, security risks, and operational risks) experienced by millennials are examined to observe their effects on the continuance intention of financial technology (FinTech) payment. FinTech users are classified into two types, namely early adopters and late adopters. This study examines the variables of continuance intention of FinTech payment, economic benefits, seamless transactions, convenience, financial risks, legal risks, security risks, operational risks, perceived benefits, and perceived risks simultaneously and is the first to be conducted on millennials in Jakarta. The methodology used was the Structural Equation Modeling-Partial Least Square. The data were collected through questionnaires distributed to 313 respondents. The results of this research show that convenience is the most influential benefit factor towards the continuance intention of FinTech payment. Operational risks are the only factor that do not significantly affect the continuance intention of FinTech payment. The differences between the effects of benefits and risks are found in both of the user types. The implication of this research is to further understand influential factors in millennials’ decisions to use FinTech payment services.

scholarly journals Determination and Prediction of Some Soil Properties using Partial Least Square (PLS) Calibration and Mid-Infra Red (MIR) Spectroscopy Analysis

2013 ◽  
Vol 16 (2) ◽  
pp. 93-98 ◽  
Author(s):  
Irnanda Aiko Fifi Djuuna ◽  
Lynette Abbott ◽  
Craig Russell
Keyword(s):  
Soil Properties ◽  
Soil Microbial Biomass ◽  
Microbial Biomass Carbon ◽  
Partial Least Square ◽  
Least Square ◽  
Soil Extraction ◽  
Soil Microbial ◽  
Mir Spectroscopy ◽  
Infra Red ◽  
Pls Method

Soil chemical, physical and biological analyses are a crucial but often expensive and time-consuming step in the characterization of soils. Rapid and accurate predictions and relatively simple methods are ideally needed for soil analysis. The objective of this study was to predict some soil properties (e.g. pH, EC, total C, total N,C/N, NH4-N, NO3-N, P, K, clay, silt, and sand and soil microbial biomass carbon) across the Wickepin farm during summer season using a Mid-Infra Red - Partial Least Square (MIR–PLS) method. The 291 soil samples were analyzed bothwith soil extraction procedure and MIR Spectrometer. Calibrations were developed between MIR spectral data and the results of soil extraction procedures. Results using the PLS-MIR showed that MIR-predicted values were almost as highly correlated to the measured value obtained by the soil extraction method of total carbon, total nitrogen and soil pH. Values for EC, NH4-N, NO3-N, C/N, P, K, clay, silt, sand, and soil microbial biomass carbon were not successfully predicted by the MIR – PLS technique. There was a tendency for these factors to correlate with the MIR predicted value, but the correlation values were very low. This study has confirmed that the MIR-PLS method can be used to predict some soil properties based on calibrations of MIR values.Keywords: MIR-Partial Least Square, MIR-Spectroscopy, soil properties

scholarly journals The Influence of Demographics and Religiosity Factors on Islamic Financial Literacy

INFERENSI ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 91-116
Author(s):  
Riris Aishah Prasetyowati ◽  
Djubaedi Yunus ◽  
Ahmad Rodoni ◽  
Amilin Amilin
Keyword(s):  
Moral Hazard ◽  
Hypothesis Testing ◽  
Sample Size ◽  
Financial Literacy ◽  
Likert Scale ◽  
Partial Least Square ◽  
Least Square ◽  
Quantitative Approach ◽  
Survey Method ◽  
Pls Method

The purpose of this study is to examine the influence of demographics and religiosity on Islamic financial literacy. Using a quantitative approach with a Likert scale questionnaire-based survey method, the population was 2800 respondents of Sharia Bank customers in Jakarta, Bogor, Depok, Bekasi, Tangerang, Surabaya, Semarang, and other cities in Indonesia. The accidental method was used and obtained a selected sample size of 400 respondents, which were analyzed using the Partial Least Square (PLS) method. The novelty shows that dimensions that do not support the significant effect of demographic and religiosity variables on Islamic financial literacy are income, moral, and experience if associated with moral hazard because they are supported by manifestations related to morality. The results of hypothesis testing show that there is a significant effect of demographics on religiosity, a significant effect of demography on Islamic financial literacy, and a significant effect of religiosity on Islamic financial literacy.

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