scholarly journals Analysis of Cooperative Development on Economic Performance in Padang Munipacility 2012-2019

2021 ◽  
Vol 19 (01) ◽  
pp. 1-19
Author(s):  
Rano Efmon ◽  
Tan Firwan ◽  
Kamarni Neng
Keyword(s):  
Economic Performance ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Public Welfare ◽  
Equation Modeling ◽  
Cooperative Groups ◽  
Considerable Contribution ◽  
Cooperative Development ◽  
Pls Method

This research aimed to analyze the influence of Cooperative Development on Economic Performance and Public Welfare in Padang Municipality and analyze the indirect and direct effect of Economic Performance as a mediator construct related to Cooperative Development on Public Welfare in Padang Municipality. Cooperative Performance data used in this research as panel data consists of 17 sub-sectors of Cooperative groups in Padang Municipality within 2012–2019 (8 years). Data analysis using quantitative statistical analysis approached by structural equation modeling-partial least square (SEM-PLS) method. This research found that Cooperative Development positively and significantly influenced Economic Performance and Public Welfare in Padang Municipality. Economic performance has a positive and significant influence on Public Welfare in Padang Municipality. Cooperative Development on Public Welfare through Economic Performance has a considerable contribution compared to direct influenced Cooperative Development on Public Welfare in Padang Municipality. Finally, Economic Performance has effective and complete mediation to improve Public Welfare by Cooperative Development in Padang Municipality within 2012–2019.

Analisis Faktor-Faktor yang Mempengaruhi Prestasi Mahasiswa Departemen Statistika IPB menggunakan Metode SEM-PLS

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Zunita Sari ◽  
Muhammad Nur Aidi ◽  
La Ode Abdul Rahman
Keyword(s):  
Student Achievement ◽  
Learning Style ◽  
Latent Variables ◽  
Structural Equation ◽  
Visual Learning ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
High Level ◽  
Pls Method

Education is improving human power. Education is divided into three level namely primary, secondary and high level education. High level education can be obtained from University. University as one of high level education, is a formal education place for all studying and teaching activities, research, community service and develop scientific student to become qualified workforce. Student achievement in universities is influenced by various factors that cannot be measured both direct and indirect. The method that is used to determine those factors is structural equation modeling (PPS) with partial least square (PLS) method. PPS with PLS method used when there are some assumptions on diverse PPS which is not fullfiled, like binormal distribution and the big ammount of examples. The results showed that the six exogenous latent variables (family background, motivation, environment, visual learning style, auditory learning style, and kinesthetic learning style) did not have a significant influence on endogenous variables (student achievement). The model used in this study has a R2 value 14.1%. This values ​​indicates that the model built is still weak in explaining the diversity of student achievement.

scholarly journals Kajian Faktor-Faktor yang Mempengaruhi Kepuasan Konsumen Bus Trans Metro Bandung Menggunakan Metode Structural Equation Modeling - Partial Least Square (Studi Kasus pada TMB koridor 3 Cicaheum Cibeureum)

2021 ◽  
Vol 28 (1) ◽  
pp. 107-116
Author(s):  
Dwi Prasetyanto ◽  
Andrean Maulana ◽  
Muhammad Rizki ◽  
Made Devina Parantina
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Arrival Time ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Significant Variable ◽  
Inner Model ◽  
Pls Method

Abstrak Sarana angkutan umum massal yang beroperasi di Kota Bandung salah satunya adalah Bus Trans Metro Bandung (TMB) koridor 3, rute Cicaheum-Sarijadi. Pelayanan Bus TMB tersebut harus memenuhi kepuasan penggunanya, tetapi saat ini kepuasan pengguna Bus TMB dirasa kurang khususnya dalam hal kualitas pelayanan. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi kepuasan penggunanya menggunakan metode Structural Equation Modeling-Partial Least Square (SEM-PLS). Pengujian model SEM-PLS dibagi menjadi 2 yaitu outer model (model pengukuran) dan inner model (model struktural). Hasil analisis yang telah dilakukan menemukan bahwa faktor-faktor yang mempengaruhi kepuasan konsumen Bus TMB yaitu variabel reliability (waktu kedatangan bus) dan variabel tangibles (kebersihan interior, tempat duduk, dan jendela bus), variabel assurance (keramahan dan kesopanan petugas dalam memberikan pelayanan), variabel responsiveness (transaksi yang dilayani atau dilaksanakan dengan cepat dan tepat) dan variabel emphaty (kepedulian petugas untuk mengingatkan penumpang yang akan turun). Adapun dari kelima variabel, variabel yang paling signifikan terhadap kepuasan konsumen adalah dimensi reliability (waktu kedatangan bus sesuai jadwal). Kata Kunci: Kepuasan konsumen; metode SEM-PLS; reliability Abstract One of the mass public transportation facilities in Bandung city is Trans Metro Bandung (TMB) Bus, which is operating in corridor 3, Cicaheum-Sarijadi route. The TMB Bus service must fulfill the satisfaction of its users, but currently the satisfaction of TMB Bus users is felt to be lacking, especially in terms of service quality. This study aims to analyze the factors that influence user's satisfaction using the Structural Equation Modeling-Partial Least Square (SEM-PLS) method. SEM-PLS model is divided into 2 model, outer model (measurement model) and inner model (structural model). The analysis found that the factors that affect customer satisfaction of TMB are the reliability variable (bus arrival time) and tangibles variables (interior cleanliness, seats and bus windows), the assurance variable (friendliness and courtesy of the officers in providing services) , the responsiveness variable (transactions that are served or executed quickly and accurately) and the emphaty variable (the officer's concern to remind passengers to get off). Among the five variables, the dimension of reliability (bus arrival time according to schedule)is the most significant variable that influenced customer satisfaction. Key words: Customer satisfaction; SEM-PLS method; reliability

scholarly journals Analysis of Millennial Generation Behavior in Consuming Halal Products: Structural Equation Model-Partial Least Square (SEM-PLS) Method

2019 ◽  
Vol 12 (2) ◽  
pp. 266
Author(s):  
Ahmad Zaenal Arifin ◽  
Annisa Nur Salam
Keyword(s):  
Structural Equation Modeling ◽  
Millennial Generation ◽  
Structural Equation ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Business Opportunity ◽  
Digital Era ◽  
Pls Method

<pre> </pre><pre><em>The elevated demand of Muslim consumers for halal products is a business opportunity for producers or companies. So that attention to consumer behavior of halal products is part of market valuation that is important for achieving success in the halal industry. Meanwhile, the millennial generation will have an influence in determining the trend of product use especially since entering the digital era. So it is important to conduct further studies on the behavior of the millennial generation in consuming halal products. This research was conducted by collecting data through distributing questionnaires to 100 respondents classified as millennial generation. Then the data collected is processed with Structural Equation Modeling-Partial Least Square (SEM-PLS) and gives conclusion that the interest of millennial generation in buying halal products is influenced by Islamic branding and individual religiosity factors. While the satisfaction of the millennial generation in consuming halal products is influenced by the price factor of these products, Islamic branding and religiosity factors. Furthermore, Islamic branding indirectly influences the buying interest and satisfaction of the millennial generation in consuming halal products through a variable mediating religiosity. Therefore, Islamic branding is an urgent matter that must be fulfilled for companies that have a focus on the development of halal industrial.</em></pre><pre><em> </em></pre>

Effect of Job-Insecurity, Organizational Commitment, Job Satisfaction on Turnover Intention: A Case Study of Newcomer Lecturers at Private Islamic Universities in East Java Province, Indonesia

2018 ◽  
Vol 6 (2) ◽  
pp. 199
Author(s):  
Asep Saifuddin Chalim
Keyword(s):  
Job Satisfaction ◽  
Organizational Commitment ◽  
Turnover Intention ◽  
Structural Equation ◽  
Job Insecurity ◽  
Partial Least Square ◽  
Least Square ◽  
Path Model ◽  
Equation Modeling ◽  
Pls Analysis

This study discussed employee turnover as one of the crucial problems faced by every organization. This study sought to analyze the determinants of turnover intention, such as job insecurity, organizational commitment, and job satisfaction. The objects of this study were newcomer lecturers of private Islamic universities in East Java Province, Indonesia. To analyze the relationship among independent variables and dependent variable; this study employed a correlation path model. To build the structural formulation of the correlation path model, this study used the variance-based Structural Equation Modeling (SEM) as a Partial Least Square (PLS) analysis. The study found that job insecurity influenced job satisfaction and organizational commitment. Moreover, job satisfaction and organizational commitment had positive impacts on the turnover intention. In contrast, job insecurity did not have a direct significant impact on the turnover intention, but it had indirect effect that influences job satisfaction and organizational commitment.

A Partial Least Square Structural Equation Modeling: Prestige Perception in Tourism

2020 ◽  
Author(s):  
Murat Kayak
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Destination Brand ◽  
The Relationship ◽  
Intention To Revisit ◽  
Brand Prestige

This study aims to investigate destination brand prestige, and to explore the mediating effects of destination brand worldness between destination brand prestige and intention to revisit. Research is designed to collect primary data from the Taiwanese tourists. Partial least squares structural equation modeling is used to test the effects. The research model is appropriately implemented in Smart PLS 3 and a full mediation has existed through the empirical findings. The study shows how destination brand worldness mediates the relationship between destination brand prestige and intention to revisit.

Analysis of Natural Resources and Environment, Politico-Economic Conditions and their influences on Tourist Behavioural Intentions in Hunza: Mediating effect of Tourist Satisfaction

2020 ◽  
Vol 4 (4) ◽  
pp. 55-74
Author(s):  
Faqeer Muhammad ◽  
Kifayat Ullah ◽  
Rehmat Karim
Keyword(s):  
Natural Resources ◽  
Structural Equation ◽  
Positive Impact ◽  
Partial Least Square ◽  
Least Square ◽  
Mediating Effect ◽  
Economic Conditions ◽  
Primary Data ◽  
Equation Modeling ◽  
Tourist Satisfaction

This study aims to explore the influence of Natural Resources and Environment (NRE), Politico-Economic Conditions (PEC) on Tourist Behavioral Intension (TBI) in Hunza, Pakistan. The study further investigates the mediating role of Tourist Satisfaction (TS) on the given variables. Partial Least Square Structural Equation Modeling (PLS-SEM) technique has been applied to conceptualize the research frame and to test the proposed hypotheses. Primary data was collected by using convenient sampling technique for analysis from 220 tourists who visited tourism nucleus sites of Hunza. The finding of the study reveals that Natural resources and Environment, Politico-and Economic Conditions have a significant positive impact on Tourist’s Behavioral Intensions. Moreover, Tourist’s Satisfaction partially mediates the positive relationships among Natural Resources and Environment, Political & Economic Conditions and Tourist’s Behavioral Intensions. The findings of the study extend the understanding that presence of natural resources along with healthy environment and stable political & economic conditions of a destination are the key determinants for sustainable tourism development.

TRANSPARANSI PAJAK DAN KEPERCAYAAN WAJIB PAJAK TERHADAP KEPATUHAN WAJIB PAJAK (SURVEI PADAWAJIB PAJAK KOTA DKI JAKARTA)

2019 ◽  
Vol 4 (1) ◽  
pp. 1-18
Author(s):  
Madjidainun Rahma
Keyword(s):  
Structural Equation Modeling ◽  
Random Sampling ◽  
Structural Equation ◽  
Sampling Technique ◽  
Target Population ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Research Results ◽  
Positive Effect

This research aims to identify and examine the effect of the Tax Transparency and Trust Taxpayers Against the Taxpayer Compliance existing areas of Jakarta. The method used is descriptive and associative. Target population studied is Unit in Unit 14 Analysis of the Tax Office in the region of Jakarta. Sampling technique used is random sampling. Model influence analyzed using SEM (Structural Equation Modeling ) with alternative method PLS ( Partial Least Square ) which is aimed at testing the Influence between Tax Transparency and Trust Taxpayers Against the Taxpayer Compliance that there diunit analysis has been given permission to conduct research. Results of the analysis showed that partially Tax Transparency and unsignificant positive effect on the Taxpayer Compliance. Similarly, the Trust Taxpayers partially positive and significant impact to the Taxpayer Compliance . Simultaneously Transparency and Trust Tax Taxpayers Against the Taxpayer Compliance effect, this means that the Tax and Trust trades Taxpayers together will increase the Taxpayer Compliance.   Keywords: Tax Transparency, Trust, Taxpayer Compliance.     Penelitan ini bertujuan untuk mengetahui dan menguji pengaruh Transparansi Pajak dan Kepercayaan Wajib Pajak Terhadap Kepatuhan Wajib Pajak yang ada wilayah DKI Jakarta. Metode yang digunakan adalah deskriptif dan asosiatif. Populasi target yang diteliti ialah Satuan Kerja yang ada di Unit Analisis 14 Kantor Pelayanan Pajak diwilayah DKI Jakarta. Teknik sampel yang digunakan ialah random sampling. Model pengaruh di analisa menggunakan analisis SEM (Structural Equation Modeling) dengan metode alternative PLS (Partial Least Square) yang bertujuan menguji Pengaruh antara Transparansi Pajak dan Kepercayaan Wajib Pajak Terhadap Kepatuhan Wajib Pajak yang ada diunit analisis yang telah diberi ijin untuk melakukan penelitian. Hasil analisis menunjukan bahwa Transparansi Pajak secara parsial berpengaruh positif dan tidak signifikan terhadap Kepatuhan Wajib Pajak. Begitu pula dengan Kepercayaan Wajib Pajak yang secara parsial berpengaruh positif dan signifikan terhadap Kepatuhan Wajib Pajak. Secara simultan Transparansi Pajak dan Kepercayaan Wajib Pajak berpengaruh Terhadap Kepatuhan Wajib Pajak, hal ini berarti bahwa dengan Transakasi Pajak dan Kepercayaan Wajib Pajak bersama-sama maka akan meningkatkan Kepatuhan Wajib Pajak.

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.

Modeling the Factors that Influence Ghanaian Entrepreneurs to Adopt e-Commerce

2021 ◽  
Vol 18 (06) ◽  
Author(s):  
Frederick Pobee
Keyword(s):  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Unified Theory ◽  
Cross Sectional ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study investigated the factors that influence Ghanaian entrepreneurs to adopt e-commerce. Cross-sectional data was gathered from 520 entrepreneurs in the most populous and industrious regions in Ghana. The unified theory of acceptance and use of technology (UTAUT) was employed to effectively understand the unexplored phenomenon of e-commerce adoption among Ghanaian entrepreneurs. Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to test the hypothesized relationships. The findings indicate that performance expectancy, effort expectancy, and social influence (SI) positively and significantly influenced the behavioral intention (BI) to adopt e-commerce. Facilitating conditions (FC) and BI had a significant positive relationship with the adoption of e-commerce.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

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