A Conceptual Framework for IT Governance Mechanisms in Uganda's Higher Institutions of Learning

Poor implementation of Information Technology Governance (ITG) leads to several IT systems performing poorly. Resulting to discontinuity of services, user frustration, loss of IT investment, increased redundancy, duplication of efforts, poor decision-making, and reputation loss. In Uganda, implementation of ITG is low as many public sector organizations are yet to streamline. Yet, for Higher Institutions of Learning (HILs), the implementation of ITG is unexplored. Therefore, this study sought to determine the required mechanisms to design an ITG framework for HILs in Uganda (IGHU). A descriptive field study was conducted and the data were analyzed using SmartPLS 2.3.9 software. The causal relationships and validity of the constructs of IGHU were tested using partial least square path modeling. The coefficient of determination was 0.35; the path coefficient indicated both positive and negative relationships of independent to dependent constructs, and hypotheses such as accountability of IT projects and awareness campaigns were statistically significant.

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Determinants of Consumers’ Intentions towards the Purchase of Energy Efficient Appliances in Pakistan: An Extended Model of the Theory of Planned Behavior

Sustainability ◽

10.3390/su13020565 ◽

2021 ◽

Vol 13 (2) ◽

pp. 565

Author(s):

Muhammad Rizwan Ali ◽

Muhammad Shafiq ◽

Murad Andejany

Keyword(s):

Energy Efficiency ◽

Theory Of Planned Behavior ◽

Planned Behavior ◽

Energy Efficient ◽

Behavioral Intentions ◽

Partial Least Square ◽

Least Square ◽

Policy Implications ◽

Extended Model ◽

Awareness Campaigns

Amplified energy demand due to technologically advanced electrical and electronic appliances has accentuated the importance of energy efficiency to overcome energy shortage and environmental concerns. As adoption of energy efficient appliances depends on perception of the consumers, this study focuses on behavioral exploration of the consumers’ intentions towards the purchase of energy efficient appliances using an extended model of the theory of planned behavior (TPB). The study is based on a survey comprising 289 respondents. Partial least square (PLS) method is used to analyze the data. The results show that the attitude, perceived behavioral control, policy information campaigns, and past-purchase experiences significantly impact behavioral intentions of the consumers, whereas subjective and moral norms are insignificant in shaping behavioral intentions. Based on analyses, policy implications emphasizing (i) strong awareness campaigns, (ii) energy efficiency incentives, and (iii) replacement initiatives are proposed to help policy makers and administrators in achieving required goals of energy efficiency and conservation. The proposed research model and policy initiatives are a blueprint for synergies among policymakers, practitioners, and researchers in understanding and shaping consumers’ behaviors towards the purchase of energy efficient products, particularly, in developing countries.

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Histamine Control in Raw and Processed Tuna: A Rapid Tool Based on NIR Spectroscopy

Foods ◽

10.3390/foods10040885 ◽

2021 ◽

Vol 10 (4) ◽

pp. 885

Author(s):

Sergio Ghidini ◽

Luca Maria Chiesa ◽

Sara Panseri ◽

Maria Olga Varrà ◽

Adriana Ianieri ◽

...

Keyword(s):

Root Mean Square ◽

Near Infrared ◽

Nir Spectroscopy ◽

Partial Least Square ◽

Least Square ◽

Partial Least Square Regression ◽

Coefficient Of Determination ◽

Mean Square ◽

Tuna Fish ◽

Mean Square Errors

The present study was designed to investigate whether near infrared (NIR) spectroscopy with minimal sample processing could be a suitable technique to rapidly measure histamine levels in raw and processed tuna fish. Calibration models based on orthogonal partial least square regression (OPLSR) were built to predict histamine in the range 10–1000 mg kg−1 using the 1000–2500 nm NIR spectra of artificially-contaminated fish. The two models were then validated using a new set of naturally contaminated samples in which histamine content was determined by conventional high-performance liquid chromatography (HPLC) analysis. As for calibration results, coefficient of determination (r2) > 0.98, root mean square of estimation (RMSEE) ≤ 5 mg kg−1 and root mean square of cross-validation (RMSECV) ≤ 6 mg kg−1 were achieved. Both models were optimal also in the validation stage, showing r2 values > 0.97, root mean square errors of prediction (RMSEP) ≤ 10 mg kg−1 and relative range error (RER) ≥ 25, with better results showed by the model for processed fish. The promising results achieved suggest NIR spectroscopy as an implemental analytical solution in fish industries and markets to effectively determine histamine amounts.

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PENGARUH DIMENSI DIMENSI IKLIM ORGANISASI TERHADAP KINERJA PEGAWAI DI BADAN KEPEGAWAIAN DAERAH PROVINSI NUSA TENGGARA BARAT

JMM UNRAM - MASTER OF MANAGEMENT JOURNAL ◽

10.29303/jmm.v9i1.475 ◽

2019 ◽

Vol 9 (1) ◽

Author(s):

Muhammad Amri Fuadi ◽

Hermanto Hermanto ◽

Lalu Suparman

Keyword(s):

Organizational Climate ◽

Social Environment ◽

Employee Performance ◽

Partial Least Square ◽

Least Square ◽

Work Behavior ◽

Positive Sign ◽

Path Coefficient ◽

Observation Data ◽

Pls Analysis

This research is directed to prove the significance of the influence of organizational climate dimensions in the form of physical environment (X1), social environment (X2) and management system (X3) on the dimensions of employee performance in the form of employee work goals (Y1) and employee work behavior (PKP). There are six hypotheses that are proven through a partial least square (PLS) analysis process. The population of this study (observation data) was 82 BKD NTB employees. Data was collected through questionnaires and all questionnaires returned in accordance with data input needs. Through the outer model stage there are two indicators of the social environment that are issued, namely the relationship of superiors with subordinates (LS1) and colleague relations (LS2) as well as two indicators of employee work behavior, namely commitment (PKP3) and leadership (PKP6). Indicators that are classified as valid get a reinforcement of criteria through the parameter AVE values above 0.50 and include reliable indicators through Cronbach's alpha parameters and composite reliability above 0.70. PLS analysis through the inner model stage found that all dimensions of the organization's climate have a positive influence (positive sign of the path coefficient) on the dimensions of employee performance.Keywords : Organizational Climate Dimensions and Employee Performance Dimensions.

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Analisa Pengaruh Penerapan Manajemen Kualitas Dengan Mbnqa Kriteria Terhadap Kinerja Bisnis Pada Rumah Sakit Islam Jemursari Surabaya

Jurnal Manajemen Teori dan Terapan | Journal of Theory and Applied Management ◽

10.20473/jmtt.v8i1.2716 ◽

2016 ◽

Vol 8 (1) ◽

Author(s):

Arief Sabda Pietra Mukti Sutikno ◽

Febriana Wurjaningrum

Keyword(s):

Knowledge Management ◽

Strategic Planning ◽

Least Square Method ◽

Partial Least Square ◽

Least Square ◽

Performance Criteria ◽

Customer Focus ◽

Path Coefficient ◽

Total Quality ◽

Business Results

Today, high population growth coupled with the needs of the product or service quality healthcare. One practice in improving quality is through the implementation of Total Quality Management or TQM. One of the efforts in the implementation of TQM can be done with criteria MBNQA consisting of leadership, strategic planning, customer focus, pekuruan, analysis, and knowledge management, workforce focus, process management, and business results. RSI Jemursari Surabaya as one of the hospitals of foundation hospitals islam Islam Surabaya (Yarsis) has implemented MBNQA in its business operations. This study examines the relationship between TQM implementation through MBNQA on business performance criteria of Islamic Hospital Jemursari. Data were analyzed using path analysis using Partial Least Square method with the help of software SmartPLS. From the research results obtained by the t-statistic for the criteria of customer focus 6.153 ; management process by 5.451; 5.168 leadership; strategic planning 4.314; and 2,628 business results. While the measurement, analysis, and knowledge management did not prove significant influence and adversely affect the value of the path coefficient of -0.014 with 0.288 t and the focus of labor is not proved significant with path coefficient value of 0,020 with 0,349 t.

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Influence factor of consumers interest on using E-money

International Journal of Social Sciences and Humanities ◽

10.29332/ijssh.v3n2.311 ◽

2019 ◽

Vol 3 (2) ◽

pp. 176-186

Author(s):

Ni Wayan Mentari ◽

I Nyoman Djinar Setiawina ◽

I Made Kembar Sri Budhi ◽

I Wayan Sudirman

Keyword(s):

Influence Factor ◽

Consumer Attitudes ◽

Structural Equations ◽

Partial Least Square ◽

Least Square ◽

Coefficient Of Determination ◽

Consumer Knowledge ◽

Perceived Benefits ◽

Consumer Interest ◽

The Relationship

The objectives of this study was to determine the factors that influence consumer interest in using e-money in Badung and Denpasar City in Bali. This study uses the analysis of SEM structural equations with alternative Partial Least Square (PLS). Consumer attitudes mediate the influence of the relationship between perceived benefits and perceived ease of consumer interest in using e-money, the attitude of consumers in using e-money does not mediate the effect of the relationship between customer knowledge on consumer interest in using e-money. The coefficient of determination R-square for attitude variables is 0.502, which means that the variable attitude of consumers in using e-money can be explained by the variable perception of benefits, perceived convenience and consumer knowledge by 50.2 percent, or in other words, every variant of consumer attitudes e-money will be explained by the variable perception of benefits, perceived ease and consumers knowledge by 50.2 percent, the rest explained by other variables outside the model by 49.8 percent.

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Application of FTIR Spectroscopy and Chemometrics for Halal Authentication of Beef Meatball Adulterated with Dog Meat

Indonesian Journal of Chemistry ◽

10.22146/ijc.27159 ◽

2018 ◽

Vol 18 (2) ◽

pp. 376 ◽

Cited By ~ 2

Author(s):

Wiranti Sri Rahayu ◽

Abdul Rohman ◽

Sudibyo Martono ◽

Sudjadi Sudjadi

Keyword(s):

Ftir Spectroscopy ◽

Reliable Method ◽

Cross Validation ◽

Partial Least Square ◽

Least Square ◽

Coefficient Of Determination ◽

Calibration Model ◽

Mean Square ◽

Folch Method ◽

Halal Authentication

Beef meatball is one of the favorite meat-based food products among Indonesian community. Currently, beef is very expensive in Indonesian market compared to other common meat types such as chicken and lamb. This situation has intrigued some unethical meatball producers to replace or adulterate beef with lower priced-meat like dog meat. The objective of this study was to evaluate the capability of FTIR spectroscopy combined with chemometrics for identification and quantification of dog meat (DM) in beef meatball (BM). Meatball samples were prepared by adding DM into BM ingredients in the range of 0–100% wt/wt and were subjected to extraction using Folch method. Lipid extracts obtained from the samples were scanned using FTIR spectrophotometer at 4000–650 cm-1. Partial least square (PLS) calibration was used to quantify DM in the meatball. The results showed that combined frequency regions of 1782–1623 cm-1 and 1485-659 cm-1 using detrending treatment gave optimum prediction of DM in BM. Coefficient of determination (R2) for correlation between the actual value of DM and FTIR predicted value was 0.993 in calibration model and 0.995 in validation model. The root mean square error of calibration (RMSEC) and standard error of cross validation (SECV) were 1.63% and 2.68%, respectively. FTIR spectroscopy combined with multivariate analysis can serve as an accurate and reliable method for analysis of DM in meatball.

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Authentication of Patin Fish Oil (Pangasius micronemus) using FTIR Spectroscopy Combined with Chemometrics

Indonesian Journal of Chemometrics and Pharmaceutical Analysis ◽

10.22146/ijcpa.487 ◽

2020 ◽

pp. 23

Author(s):

Anggita Rosiana Putri ◽

Abdul Rohman ◽

Sugeng Riyanto ◽

Widiastuti Setyaningsih

Keyword(s):

Root Mean Square Error ◽

Fish Oil ◽

Ftir Spectroscopy ◽

Mean Square Error ◽

Root Mean Square ◽

Partial Least Square ◽

Least Square ◽

Partial Least Square Regression ◽

Coefficient Of Determination ◽

Mean Square

Authentication of Patin fish oil (MIP) is essential to prevent adulteration practice, to ensure quality, nutritional value, and product safety. The purpose of this study is to apply the FTIR spectroscopy combined with chemometrics for MIP authentication. The chemometrics method consists of principal component regression (PCR) and partial least square regression (PLSR). PCR and PLSR were used for multivariate calibration, while for grouping the samples using discriminant analysis (DA) method. In this study, corn oil (MJ) was used as an adulterate. Twenty-one mixed samples of MIP and MJ were prepared with the adulterate concentration range of 0-50%. The best authentication model was obtained using the PLSR technique using the first derivative of FTIR spectra at a wavelength of 650-3432 cm-1. The coefficient of determination (R2) for calibration and validation was obtained 0.9995 and 1.0000, respectively. The value of root mean square error of calibration (RMSEC) and root mean square error of prediction (RMSEP) were 0.397 and 0.189. This study found that the DA method can group the samples with an accuracy of 99.92%.

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The Effects of Social Capital on Performance of Coffee-Based Agribusiness Smes in Tabanan Regency, Bali Province, Indonesia

The International Journal of Social Sciences and Humanities Invention ◽

10.18535/ijsshi/v6i6.05 ◽

2019 ◽

Vol 6 (6) ◽

pp. 5513-5520

Author(s):

Ida Ayu Komang Juniasih ◽

Dr. I Wayan Widnyana ◽

I Gusti Agung Ayu Ambarawati ◽

Dwi Putra Darmawan

Keyword(s):

Social Capital ◽

Small And Medium Enterprises ◽

Local Area ◽

Sem Analysis ◽

Partial Least Square ◽

Least Square ◽

Coefficient Of Determination ◽

Business Success ◽

P Values ◽

Significance Level

Small and Medium Enterprises (SMEs) is one of the businesses that have an important role in the country's economy. The potential of these SMEs needs to get serious attention from the local government in order to increase the potential of the local area in supporting the economy. Several SMEs have been developed in Tabanan Regency considering local potential-based agribusiness, namely coffee processing agribusiness, especially Robusta coffee. The development of SMEs does not only require financial capital but also requires social capital. The purpose of this study was to analyze the effect of social capital on the performance of coffee-based agribusinessSMEs in Tabanan Regency, Bali Province.The social capital in thisstudy includes trust, norms and networks, Sampling was taken by using Solvin technique from the members of 16 SMEs, counting to 73 respondents. The location of the study was conducted by purposive sampling. The data used were qualitative and quantitative data and analyzed by using Partial Least Square (PLS) - SEM analysis. The result shows that the construct of trust had an effect on the performance of SMEs of coffee-based agribusinesses of 0.482 (48.2 per cent) with the level of significance of p values < 0.05. The construct of norms affected the performance of SMEsby 0.326 (32.6 per cent)with the significance level of p values < 0.05. The network construct influenced the performance of SMEsby 0.287 or 28.7 per cent with the significance level (p values < 0.05). The results of combined analysis show that social capital consisting of trust, norms, and networks on the performance of coffee-based agribusiness SMEshad a coefficient of determination (R-square) of 0.448, reflecting the effect is categorized moderate.In this study it shows that social capital consisting of trust, norms, and networks had a positive and significant effect on the performance of coffee-based agribusinessSMEs in Tabanan Regency. There needs to be strengthening of social capital from both SME players and government officials for business developmenttogether with other capital to achieve business success.

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Application of FTIR Spectroscopy and HPLC Combined with Multivariate Calibration for Analysis of Xanthones in Mangosteen Extracts

Scientia Pharmaceutica ◽

10.3390/scipharm88030035 ◽

2020 ◽

Vol 88 (3) ◽

pp. 35

Author(s):

Endjang Prebawa Tejamukti ◽

Widiastuti Setyaningsih ◽

Irnawati ◽

Budiman Yasir ◽

Gemini Alam ◽

...

Keyword(s):

Quantitative Analysis ◽

Multivariate Calibration ◽

Principal Component Regression ◽

Principal Component ◽

Ethanolic Extract ◽

Ftir Spectra ◽

Partial Least Square ◽

Least Square ◽

Coefficient Of Determination ◽

Garcinia Mangostana

Mangosteen, or Garcinia mangostana L., has merged as an emerging fruit to be investigated due to its active compounds, especially xanthone derivatives such as α -mangostin (AM), γ-mangostin (GM), and gartanin (GT). These compounds had been reported to exert some pharmacological activities, such as antioxidant and anti-inflammatory, therefore, the development of an analytical method capable of quantifying these compounds should be investigated. The aim of this study was to determine the correlation between FTIR spectra and HPLC chromatogram, combined with chemometrics for quantitative analysis of ethanolic extract of mangosteen. The ethanolic extract of mangosteen pericarp was prepared using the maceration technique, and the obtained extract was subjected to measurement using instruments of FTIR spectrophotometer at wavenumbers of 4000–650 cm−1 and HPLC, using a PDA detector at 281 nm. The data acquired were subjected to chemometrics analysis of partial least square (PLS) and principal component regression (PCR). The result showed that the wavenumber regions of 3700–2700 cm−1 offered a reliable method for quantitative analysis of GM with coefficient of determination (R2) 0.9573 in calibration and 0.8134 in validation models, along with RMSEC value of 0.0487% and RMSEP value 0.120%. FTIR spectra using the second derivatives at wavenumber 3700–663 cm−1 with coefficient of determination (R2) >0.99 in calibration and validation models, along with the lowest RMSEC value and RMSEP value, were used for quantitative analysis of GT and AM, respectively. It can be concluded that FTIR spectra combined with multivariate are accurate and precise for the analysis of xanthones.

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Prediction of Soil Organic Carbon for Ethiopian Highlands Using Soil Spectroscopy

ISRN Soil Science ◽

10.1155/2013/720589 ◽

2013 ◽

Vol 2013 ◽

pp. 1-11 ◽

Cited By ~ 9

Author(s):

Tadele Amare ◽

Christian Hergarten ◽

Hans Hurni ◽

Bettina Wolfgramm ◽

Birru Yitaferu ◽

...

Keyword(s):

Organic Carbon ◽

Soil Organic Carbon ◽

Diffuse Reflectance ◽

Principal Component ◽

Partial Least Square ◽

Least Square ◽

Partial Least Square Regression ◽

Coefficient Of Determination ◽

Calibration Models ◽

The Stability

Soil spectroscopy was applied for predicting soil organic carbon (SOC) in the highlands of Ethiopia. Soil samples were acquired from Ethiopia’s National Soil Testing Centre and direct field sampling. The reflectance of samples was measured using a FieldSpec 3 diffuse reflectance spectrometer. Outliers and sample relation were evaluated using principal component analysis (PCA) and models were developed through partial least square regression (PLSR). For nine watersheds sampled, 20% of the samples were set aside to test prediction and 80% were used to develop calibration models. Depending on the number of samples per watershed, cross validation or independent validation were used. The stability of models was evaluated using coefficient of determination (R2), root mean square error (RMSE), and the ratio performance deviation (RPD). The R2 (%), RMSE (%), and RPD, respectively, for validation were Anjeni (88, 0.44, 3.05), Bale (86, 0.52, 2.7), Basketo (89, 0.57, 3.0), Benishangul (91, 0.30, 3.4), Kersa (82, 0.44, 2.4), Kola tembien (75, 0.44, 1.9), Maybar (84. 0.57, 2.5), Megech (85, 0.15, 2.6), and Wondo Genet (86, 0.52, 2.7) indicating that the models were stable. Models performed better for areas with high SOC values than areas with lower SOC values. Overall, soil spectroscopy performance ranged from very good to good.

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