scholarly journals Examining the Attitude-Behavior Gap and Adoption Intention of SHS Technology

2021 ◽  
pp. 14-24
Author(s):  
Zefanya Alanza Christabel Loveldy
Keyword(s):  
Social Influence ◽  
Green Technology ◽  
Partial Least Square ◽  
Least Square ◽  
Radiation Level ◽  
Factors Affecting ◽  
Intention To Adopt ◽  
Attitude Behavior ◽  
The Impact ◽  
Adoption Intention

Current fuel-based electricity used to fulfill household electricity needs becomes a reason that worsens the global warming. Even though Indonesia is benefited from abundant solar radiation level, the utilization of solar energy as one possible solution is still very poor. This unused eco-friendly energy needs to be investigated by examining consumers’ intention to adopt Solar House System (SHS) technology along with factors affecting it. This study uses Behavioral Reasoning Theory (BRT) consists of values, reasons for adoption, reasons against adoption, attitude, and social influence as variables to predict adoption intention. Further, Partial Least Square Modeling is used to test the hypotheses after collecting 428 data by distributing questionnaire in Bandung Area. The result reveals that social influence is found to play the most significant role in predicting SHS adoption intention, attitude, reasons for adoption, and values. Thus, this study extents our understanding of attitude-behavior gap in the context of green technology as well as the impact of social influence.

scholarly journals ANTESEDEN DAN KONSEKUEN PENGGUNAAN MEDIA SOSIAL BAGI UMKM: ANALISIS PERSPEKTIF ORGANISASI

2018 ◽  
Vol 19 (3) ◽  
pp. 12
Author(s):  
Anissa Hakim Purwantini ◽  
Friztina Anisa
Keyword(s):  
Social Media ◽  
Customer Service ◽  
Partial Least Square ◽  
Least Square ◽  
Media Technology ◽  
Factors Affecting ◽  
Media Usage ◽  
Internal Operations ◽  
Use Of Social Media ◽  
The Impact

Utilization of social media technology for business interests has been widely done both in largecompanies and MSMEs (Micro, Small and Medium Enterprise). Utilization of social media forMSMEs is very important to face the competition in this globalization era. This study empiricallyexamines the antecedents of social media usage and its impact on MSMEs performance basedon the Technology-Organization-Environment framework and Resource Based View theory. Thesurvey method by distributing questionnaires was conducted to MSMEs from various industriesin Magelang. Analysis with SEM-Partial Least Square indicates that customer pressure andmobile environment are significant factors affecting the use of social media. Furthermore, thedimensions of the impact on internal operations, sales, marketing and customer service aresignificant and make the value of social media usage for MSMEs. Technological competenceand competitive pressure does not affect the social media usage for MSMEs.Keywords: social media, SMEs, organization perspective, TOE, RBV

scholarly journals Determinants of Budget Forecast Errors and Their Impacts on Budget effectiveness: evidence from Indonesia

2019 ◽  
Vol 21 (3) ◽  
pp. 391
Author(s):  
Baldric Siregar ◽  
Lilis Susanti
Keyword(s):  
Local Government ◽  
Structural Model ◽  
Forecast Error ◽  
Partial Least Square ◽  
Least Square ◽  
Forecast Errors ◽  
Factors Affecting ◽  
Revenue Growth ◽  
Spending Growth ◽  
The Impact

This research attempts to identify the determinants of budget forecast errors and explore the impact of the errors on the budget effectiveness. This study differs from the earlier studies such as including covering 90% of districts and cities, other studies on budget forecast error have not addressed how financial and governmental characteristics effect budget forecast error, and using a structural model to test the factors effecting budget forecast error and their impacts on budget effectiveness. The data are derived from Central Bureau of Statistics and local government website. It used the data of 444 local government for the period of 2006 to 2013, and analyzed them using a partial least square for testing the hypotheses. The results show that the significant factors affecting budget forecast errors are revenue growth, expenditure growth, and government complexity. The higher the revenue growth the greater the likelihood of budget forecast errors. Likewise, the greater the spending growth, the greater the budget forecast errors. The empirical evidence also suggests that budget forecast errors are bad for the economy. The implications of this findings are that local government must be more careful in projecting a growing income and expenditure budget, coordinate well so that work units can develop accurate budgets, and carry out a better monitoring function for all the main stages of budgeting.

Revisiting the impact of VR applications on hotel bookings

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sungsik Yoon ◽  
Mehmet Erdem ◽  
Markus Schuckert ◽  
Patrick C. Lee
Keyword(s):  
Willingness To Pay ◽  
Social Influence ◽  
Perceived Value ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
Content Type ◽  
Performance Expectancy ◽  
The Impact

Purpose The current study aims to investigate hotel guests’ intention to use virtual reality (VR) and willingness to pay more for hotels that have VR applications (e.g. virtual room tour) when booking a hotel. Design/methodology/approach Through a theoretical lens of stimuli–organism–response (S-O-R), relationships among an individual’s performance expectancy, effort expectancy, social influence, utilitarian motivation, hedonic motivation, perceived value, intention to use VR and willingness to pay more for VR were tested using partial least square-structural equation modeling. Findings Performance expectancy, social influence, utilitarian motivation and hedonic motivation affect the perceived value of VR. An individual’s perceived value of VR affects his/her intention to use VR and willingness to pay more for a hotel that has VR contents (e.g. virtual room tour) available during the hotel booking process. Originality/value Through the S-O-R framework, this study provided insights into hotel guests’ intention to use VR and explored how their intentions lead to their willingness to pay more for a hotel if VR is available during the reservation or hotel selection process.

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.

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 PERAN INNOVATIVENESS SEBAGAI MODERASI PADA KETERKAITAN PENGARUH SOSIAL TERHADAP MINAT PEMBELIAN KOPI STARBUCKS

2020 ◽  
Vol 4 (1) ◽  
pp. 174
Author(s):  
Miharni Tjokrosaputro ◽  
Cokki Cokki
Keyword(s):  
Structural Equation Modeling ◽  
Social Influence ◽  
Purchase Intention ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Green Product ◽  
Convenience Sampling

Tujuan penelitian ini adalah untuk mengetahui apakah keinovatifan dapat memoderasi peran pengaruh sosial terhadap minat pembelian kopi Starbucks sebagai produk hijau. Penelitian ini menggunakan metode survey. Responden adalah 100 konsumen Starbucks. Teknik pengambilan sampel adalah convenience sampling. Teknik pengumpulan data menggunakan kuesioner. Teknik analisis data menggunakan Partial Least Square-Structural Equation Modeling. Hasil penelitian menunjukkan bahwa pengaruh sosial berpengaruh terhadap niat membeli kopi Starbucks dan keinovatifan konsumen tidak memoderasi peran pengaruh sosial terhadap minat pembelian kopi Starbuck sebagai produk hijau. The purpose of this study was to determine whether innovativeness can moderate the role of social influence in the purchase intention of Starbucks coffee as a green product. Respondents were 100 Starbucks consumers. The sampling technique is convenience sampling. Data collection techniques using a questionnaire by survey method. Data analysis techniques using Partial Least Square-Structural Equation Modeling. The results showed that social influence had effect on Starbucks coffee purchase intentions and consumer innovativeness did not moderate the role of social influence on the purchase intention of Starbuck coffee as a green product. This might be due to brand equity factors, collectivistic culture and limited sample size, which can be suggested for future researchers.

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.

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