scholarly journals Analysis of Factors which Affecting Perceived Enjoyment and Customer Continuance Intention on Mobile Games Users

2021 ◽  
Vol 5 (1) ◽  
pp. 15-22
Author(s):  
Ronaldo Gultom ◽  
Boy Nurttjahyo Moch ◽  
Ramadhan Khafri ◽  
Maya Arlini Puspasari
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Research Model ◽  
Continuance Intention ◽  
Mobile Games ◽  
Perceived Enjoyment ◽  
Intention To Continue

Nowadays utilization of mobile applications, especially for mobile games growth rapidly. This situation affects mobile games market more competitive and results in only few games can survive. The abundance number of mobile games that available makes users will remove their downloaded games if it lacks of interesting experience that affected their enjoyment on first try. Because of this, perceived enjoyment is often considered as an important factor that affects users’ intention to continue playing the mobile games. Therefore, this study aims to discover what factors affects perceived enjoyment and find out whether perceived enjoyment is affecting user’s intention to continue playing mobile games or not. The research model adopts several latent variables that are used to measure the perceived enjoyment and its effect on continuance intention of mobile games. The model is tested by using Partial Least Square–Structural Equation Modeling (PLS-SEM) with a sample size of 205 respondents.

scholarly journals FAKTOR-FAKTOR PENENTU PERILAKU GURU SMP MENGGUNAKAN TEKNOLOGI DALAM PEMBELAJARAN ONLINE: STUDI KASUS DI PROVINSI RIAU

2021 ◽  
Vol 22 (2) ◽  
pp. 123-133
Author(s):  
Defrizal Hamka ◽  
Neng Sholihat
Keyword(s):  
Online Learning ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Influential Factor ◽  
Equation Modeling ◽  
Purposive Sampling ◽  
Facility Conditions

The purpose of this research is to investigate factors that influence the intent of behavior using technology in online learning. The study uses structural equation modeling using a partial least square approach to test the hypotheses. Respondents selected using purposive sampling, and the questionnaires were distributed through online surveys and received a response of 96 respondents. Results show that latent variables, performance expectations, business expectations, and facility conditions have a positive and significant relationship with the intent of individual behaviour in the use of technology in online learning. The latent variable "condition facility" is the most influential factor. This research provides an important overview and understanding for policymakers in designing frameworks to pay attention to facility conditions. Further research is suggested in the future covering samples from various provinces in Indonesia. This study adds to the literature primarily on factors affecting behavioral intent to use technology in online learning. Tujuan dari penelitian ini adalah untuk menganalisis faktor-faktor yang mempengaruhi niat perilaku guru menggunakan teknologi dalam pembelajaran online. Penelitian ini menggunakan pemodelan persamaan struktural dengan menggunakan pendekatan partial least square untuk menguji hipotesis. Berdasarkan purposive sampling, kuesioner disebarkan melalui survei online dan mendapat tanggapan dari 96 responden. Hasil penelitian menunjukkan bahwa variabel laten, ekspektasi kinerja, ekspektasi usaha, dan kondisi fasilitas memiliki hubungan positif dan signifikan dengan niat perilaku individu dalam penggunaan teknologi dalam pembelajaran online. Variabel laten “fasilitas kondisi” merupakan faktor yang paling berpengaruh. Penelitian ini memberikan gambaran dan pemahaman penting bagi pembuat kebijakan dalam merancang kerangka kerja untuk memperhatikan kondisi fasilitas. Penelitian lebih lanjut disarankan di masa depan mencakup sampel dari berbagai provinsi di Indonesia. Studi ini menambah literatur terutama pada faktor-faktor yang mempengaruhi niat perilaku untuk menggunakan teknologi dalam pembelajaran online.

scholarly journals Millennials' attitude toward chatbots: an experimental study in a social relationship perspective

2020 ◽  
Vol 48 (11) ◽  
pp. 1213-1233
Author(s):  
Roberta De Cicco ◽  
Susana Costa e Silva ◽  
Francesca Romana Alparone
Keyword(s):  
Social Presence ◽  
Structural Equation ◽  
Social Relationship ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Interaction Style ◽  
Content Type ◽  
Perceived Enjoyment ◽  
Task Oriented

PurposeChatbots represent an innovative channel for retailers to meet young customers' needs anywhere and at any time. Being an emergent technology, however, it is important to investigate more thoroughly how users perceive it, and which are the variables that enhance a positive attitude towards this technology. On this premise, this study applies a social relationship perspective to the design of chatbots addressed to younger consumers.Design/methodology/approachThe study adopts a between-participants factorial design to investigate the effects of visual cues (avatar presence vs avatar absence) and interaction styles (social-oriented vs task-oriented) on social presence and how this, in turn, enhances millennials' perceived enjoyment, trust and, ultimately, attitude towards the chatbot. A survey experiment was employed to conduct the study on data collected from 193 Italian millennials.FindingsThe results show that applying a social-oriented interaction style increases users' perception of social presence, while an insignificant effect was found for avatar presence. The partial least square structural equation modeling (PLS-SEM) analysis further confirms the hypothesised model.Originality/valueThe adoption of new digital technologies such as chatbots is likely to have a far reaching effect on retailers, consumers, employees and society. For this reason, a broad understanding of the phenomenon is needed. To the best of our knowledge, this is the first study to provide results from an experimental design in which both interaction style (social- vs task-oriented) and avatar (presence vs absence) of a chatbot are manipulated to directly explore social presence and its effect on trust, perceived enjoyment and millennials' attitude towards a chatbot applied for retailing purposes.

scholarly journals ANALISIS KEPUASAN DAN LOYALITAS PELANGGAN DALAM PEMESANAN TIKET PESAWAT SECARA ONLINE MENGGUNAKAN PENDEKATAN PARTIAL LEAST SQUARE (PLS)

2018 ◽  
Vol 7 (4) ◽  
pp. 361-372
Author(s):  
Trisnawati Gusnawita Berutu ◽  
Abdul Hoyyi ◽  
Sugito Sugito
Keyword(s):  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Service Providers ◽  
Web Design ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Internet Service ◽  
Access Security

Technology advances are bring rapid changes, thus bringing the world to the information society. From this technological progress thus e-commerce emerged, as a means to meet the needs of goods and services through internet access (online). This is what the airlines utilized by cooperating with various internet service providers (online), to provide convenience and comfort of airplane passengers in buying tickets without having to come directly to the place and through intermediaries. To provide the best service, need to know what factors that influence customer satisfaction in ordering airline tickets online. Appropriate modeling for this problem using structural equation modeling, with Partial Least Square (PLS) approach. The PLS approach is chosen because it is not based on several assumptions, one of these is the normal multivariate assumption. In this research, the exogenous latent variables used are performance, access, security, sensation, information, and web design, while the endogenous latent variables are satisfaction and loyalty. Based on the results of the analysis it can be concluded that the latent variables of access, security, sensation, information, and web design are able to explain the latent satisfaction variable of 70.32% while the satisfaction latent variable is able to explain the latent variable of loyalty by 36.02%. 

scholarly journals Pengaruh Selebrity Endorsme, Brand Image, dan Testimoni dalam Menigkatkan Minat Beli Produk (Studi Kasus : Instagram UKM Kylafood)

2021 ◽  
Vol 4 (2) ◽  
pp. 104-110
Author(s):  
Ogi Maulana Firli ◽  
Muhamad Rizal ◽  
Ria Arifianti ◽  
Asmaul Husna
Keyword(s):  
Structural Equation ◽  
Quantitative Methods ◽  
Brand Image ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Distribution Data ◽  
Research Model ◽  
Celebrity Endorsement ◽  
Positive Effect

The purpose of this study is to determine the effect of Celebrity Endorsement, Brand Image, and Testimonials on consumer buying interest in Kylafood products on Instagram Social Media. The research methods used in this research are descriptive and quantitative methods. Data analysis techniques and research model submissions use Structural Equation Modeling-Partial Least Square (SEM-PLS) with 95 questionnaire distribution data aimed at people who at least follow one celebrity endorsment on Instagram, know the kylafood brand, know the testimonials of the kylafood brand and intending to buy kylafood products. The results of this study state that the celebrity endorsement and testimonial variables have a significant positive effect on buying interest in Kylafood products on Instagram, while the brand image variable has a positive but not significant effect.

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.

MODELING OF SEA SURFACE TEMPERATURE BASED ON PARTIAL LEAST SQUARE - STRUCTURAL EQUATION

2021 ◽  
Vol 14 (2) ◽  
pp. 170-182
Author(s):  
Miftahuddin Miftahuddin ◽  
Retno Wahyuni Putri ◽  
Ichsan Setiawan ◽  
Rina Suryani Oktari
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Structural Model ◽  
Partial Least Square ◽  
Least Square ◽  
Sea Surface ◽  
Equation Modeling

Variability of Sea Surface Temperature (SST) is one of the climatic features that influence global and regional climate dynamics. Missing data (gaps) in the SST dataset are worth investigating since they may statistically alter the value of the SST change. The partial least square-structural equation modeling (PLS-SEM) approach is used in this work to estimate the causality relationships between exogenous and endogenous latent variables. The findings of this study, which are significant indicators that have a loading factor value > 0.7 are as follows: i) sea surface temperature (oC) as a measure of the latent variable changes in SST, ii) wind speed (m/s) and relative humidity (%) as a measure of the latent variable of weather, and iii) air temperature (oC), long-wave solar radiation (w/m2) as a measure of climate latent variables. The size of the Rsquare value is influenced by the number of gaps. The results of the boostrapping show that the latent variables of weather and climate have a significant effect on changes in SST which are indicated by the value of tstatistics > ttabel. The structural model obtained Changes in SST (η) = -0.330 weather + 0.793 climate + ζ. The model shows that the weather has a negative coefficient, which means that the better the weather conditions, the lower the SST changes. Climate has a positive coefficient, which means that the better the climate, the SST changes will also increase. Rising sea surface temperatures caused by an increase in climate can lead to global warming, impacting El-Nino and La-Nina events.

scholarly journals ANALISIS TECHNOLOGY ACCEPTANCE MODEL PADA APLIKASI PLATFORM SHOPEE DENGAN PENDEKATAN PARTIAL LEAST SQUARE (STUDI KASUS PADA MAHASISWA UNIVERSITAS DIPONEGORO)

2021 ◽  
Vol 10 (3) ◽  
pp. 423-434
Author(s):  
Ovie Auliya’atul Faizah ◽  
Suparti Suparti ◽  
Abdul Hoyyi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Acceptance Model

E-commerce refers to business transactions using digital networks such as the internet. Based on the rank on the Appstore and Playstore, Shopee places the first rank. In 2019, Shopee had 56 million visitors. Meanwhile, in the same year, it had 3,225 workers. The imbalance between the number of Shopee visitors and Shopee employees allows users to be disappointed with Shopee's services, but on the other hand, there are also many users who are happy with its services. With both positive and negative responses to the services provided by Shopee, this study analyzes the factors affecting the acceptance of Shopee Apps on students of Universitas Diponegoro Semarang. The analysis was based on the Technology Acceptance Model (TAM). It used the Structural Equation Modeling with the Partial Least Square (SEM-PLS) approach. The study used primary data obtained by distributing questionnaires to students of Universitas Diponegoro. The result showed 28 valid indicators, 5 deal inner models, and 8 significant pathways. All the causality between latent variables contained in the Technology Acceptance Model (TAM) have a positive and significant effect, it's just that the results of integrating trust variables on TAM, namely the latent variable between trust and interest in usage behavior, have no significant effect. 

scholarly journals Cryptocurrency Acceptance: A Case of Malaysia

2019 ◽  
Vol 8 (5C) ◽  
pp. 28-38
Keyword(s):  
Pilot Study ◽  
Structural Equation ◽  
Online Survey ◽  
Reliability And Validity ◽  
Measurement Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Research Model ◽  
Community Group

Since the inception of the first cryptocurrency in 2008, cryptocurrency has been receiving global attention from the public, media, merchants and regulators. Although the general sentiment suggested cryptocurrencies which leverage on blockchain technology might eventually replace the paper currency as the mainstream currency, the Malaysian regulators are still unsure that a well-established cryptocurrency ecosystem can come into place anytime soon. Unfortunately, there is a lack of cryptocurrency acceptance study, particularly in Malaysia (developing country context). Hence, this paper aims to propose a research model that integrates cryptocurrency dimension antecedents with Unified Theory of Acceptance and Use of Technology2 (UTAUT2) constructs to examine the factors that influence cryptocurrency acceptance. This study employs a quantitative approach by collecting online survey questionnaire data through the means of cryptocurrency community group on social media. The survey instrument was reviewed by four experts from the field of blockchain and 36 responses have been gathered from individuals who have cryptocurrency knowledge for pilot study. To further evaluate the reliability and validity of the proposed measures, the measurement model was assessed using structural equation modeling (SEM) technique with partial least square approach (PLS). SmartPLS software was used for PLSSEM analyses. In this paper, the proposed research model contributes a high-level overview of and valuable insights into the potential cryptocurrency acceptance factors to regulatory bodies, practitioners as well as prospective cryptocurrency users. The findings of pilot study confirm that the measurement items and constructs in the proposed model are reliable and valid.

Accurately or accidentally? Recommendation agent and search experience in over-the-top (OTT) services

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yeeun Kwon ◽  
Jaecheol Park ◽  
Jai-Yeol Son
Keyword(s):  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Limited Attention ◽  
Content Type ◽  
Decision Satisfaction ◽  
Recommendation Agents ◽  
Intention To Continue ◽  
Over The Top

PurposeOver-the-top (OTT) services, which provide streaming media through all devices in online setting, have surpassed the traditional content providers in the market. However, there is still no clear empirical evidence that indicates what recommendation agent values affect the users' search experience while using the OTT services and how it leads to continuous subscription. To address this gap, this study aims to examine recommendation agent values influencing search experience, which in turn affects decision satisfaction and continuance intention.Design/methodology/approachThis study empirically develops and tests a research model with data obtained from 212 survey respondents in Korea. Structural equation modeling with partial least square approach was used to analyze the data.Findings(1) Recommendation agent variables such as match score accuracy, recommended content variety and thumbnail image appeal affect search experience variables such as perceived diagnosticity and perceived serendipity; (2) perceived diagnosticity and perceived serendipity of search experience increase decision satisfaction; and (3) decision satisfaction increases intention to continue to subscribe to OTT services.Originality/valueDespite the widespread use of recommendation agents in OTT services, limited attention has been paid to understand what specific values of recommendation agents lead subscribers to continue their subscription. The findings of this study clarify subscribers' continuous subscription behavior in OTT services in terms of the recommendation agent values and search experience perspective.

scholarly journals Structural Equation Modeling-Partial Least Square for Poverty Modeling in Papua Province

Jurnal Varian ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 79-90
Author(s):  
Wirajaya Kusuma ◽  
Rifani Nur Sindy Setiawan ◽  
Kirti Verma ◽  
Carina Firstca Utomo
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Poverty Rate ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Path Coefficient ◽  
Path Coefficients ◽  
Health Variable

Poverty in Papua Province in 2018 has increased from the previous year. The poverty rate in Papua Province in March 2018 reached 27,74%. This study aims to analyze the factors that influence it so that it can be handled properly. The research method used in this research is Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) approach. The research variables used consisted of 4 latent variables (Poverty, Economy, Human Resources (HR), and Health) with 16 indicators (manifest variables). Based on the analysis that has been done, it is found that economic and health variables have a negative and significant effect on poverty with path coefficients of -0,421 and -0,270, respectively. The health variable has a positive and significant effect on HR with a path coefficient of 0,496. Meanwhile, the HR variable has a positive and significant effect on the economy with a path coefficient of 0,801. It can be concluded that there are two variables that have a significant effect on poverty in Papua Province, including the economy and health.

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