scholarly journals Behavioural Model for Decision-Makers’ towards the Intention to Adopt Green Information Technology: A Preliminary Study

2021 ◽  
Vol 29 (4) ◽  
Author(s):  
Abba Kyari Buba ◽  
Othman Ibrahim

This preliminary survey investigates and validates the measurement model of factors influencing decision makers’ intentions to adopt Green information technology (Green-IT) in manufacturing sectors in Nigeria. The Norm Activation Model (NAM) and Theory of Planned Behaviour (TPB) were used to explore the factors that could influence decision-makers’ intention in adopting Green-IT. Using constructs from the NAM and TPB, this survey proposes a model for identified behavioural factors. A quantitative research approach with a data collection and analysis plan using a cross-sectional survey design was adopted. A sample of 30 decision-makers in the top three manufacturing industries in Nigeria was selected using a purposive sampling procedure for participation in the study. The data collected was analysed using Partial Least Square Structural Equation Modelling (PLS-SEM) to test the proposed model. The model was validated in two phases: (i) Initial Measurement Model and (ii) Modified Measurement Model. Findings revealed that Green-IT Attitude, Subjective Norm, Ascription of Responsibility, Awareness of Consequences, Personal Norm, Environmental Concern, and Perceive Behavioural Control were the key elements of the behavioural intention model to adopt Green-IT, with 31 indicators having factor loadings of >0.5, adequate internal consistency reliability, CR > 0.7, and Cronbach’s Alpha, >0.7. The result revealed convergent validity, and acceptable discriminant validity was assessed using AVE > 0.5 and Fornell-lacker’s criterion. The results from the full-scale study would contribute to developing a context-specific model to examine Green-IT adoption in developing nations.

Author(s):  
Endang Siswati

This research uses a quantitative approach, using 25 samples taken from the population, namely consumers of retail companies that sell private label products, including Superindo, Indomaret, and Alfamart. The purpose of this study is to analyze and determine whether the variable customer satisfaction can mediate the effect of promotion and place advertising on positive word of mouth. Data analysis in this research used PLS (Partial Least Square) with the SmartPLS program, which consists of a measurement model, namely convergent validity, discriminant validity and composite reliability, as well as structural models namely R-Square, Q-Square, Path test coefficients to test the significance of influence, and the Sobel test to test for mediation. The results showed that consumer satisfaction was not able to mediate a positive relationship between promotion and positive word of mouth, but promotion had a significant effect on consumer satisfaction.


JUMINTEN ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 95-106
Author(s):  
Santi Wulandari ◽  
Dira Ernawati

Dengan meningkatnya pertumbuhan dunia industri berimplikasi pula dengan meningkatnya permintaan pasar akan suatu produk yang diinginkan. Perusahaan selaku salah satu pelaku kegiatan di sektor industri dituntut untuk bisa mempertahankan produk di pasaran serta terus berinovasi dalam strategi dan integrasi yang baik dari tiap sektor. PT. Semesta Mitra Sejahtera Cabang Sidoarjo adalah perusahaan yang berfokus di bidang peternakan (farm) ayam pullet yang peternakannya tersebar di berbagai daerah di Jawa Timur. Diketahui bahwa di perusahaan ini seringkali terjadi perubahan kebijakan mendadak terkait proses pemeliharaan ayam pullet di peternakan. Dikarenakan lokasi farm yang tidak dalam satu daerah, perusahaan mengalami kesulitan dalam penyampaian informasi untuk secara efektif terkait penerapan kebijakan baru terhadap farm. Dari latar belakang diatas, peneliti ingin mengetahui bagaimana pengaruh manajemen rantai pasok terhadap kinerja perusahaan dengan menggunakan SEM-PLS dengan tahap pertama yaitu Evaluation of Measurement Model yang dilakukan dengan Uji Validitas dan Uji Reliabilitas. Uji Validitas dilakukan dengan dua tahap yaitu Convergent Validity dan Discriminant Validity. Uji Reliabilitas dilakukan dengan dua tahap yaitu Composite Reliability dan Cronbach’s Alpha. Tahap kedua yaitu Evaluation of Structural Model yang dilakukan dengan suatu pengujian yang dinamakan Inner Model Test yang dilakukan dengan lima langkah, yaitu R-Square hingga Model Fit


2013 ◽  
Vol 10 ◽  
pp. 361-366 ◽  
Author(s):  
Jalil Azlis-Sani ◽  
Siti Zawiah Md. Dawal ◽  
Zakuan Norhayati Mohmad

The purpose of this paper is to explain the assessment of validity and reliability of measured items used in survey research. The structural equation modeling techniques and Partial Least Square (PLS) will be adopted to assess the goodness of measures of constructs used in a model to examine the performance of the Malaysian train drivers. The measurement process involves assessment of construct validity of the items and followed by convergent validity. Then, the composite reliability was assessed with internal consistency measure of Cronbachs alpha. Lastly, discriminant validity was tested to assess the validity of the measurement. The constructs are not supposed to measure other constructs or overlapping constructs.


2020 ◽  
Vol 8 (12) ◽  
pp. 210-219
Author(s):  
Juwati Ureyang , S.T. , M. Pd. ◽  
◽  
H. Teman Koesmono ◽  
Fenika Wulani ◽  
◽  
...  

The purpose of this research is to determine the influence of strategic leadership, organizational leadership, organizational culture, organizational commitment, and learning organization towards the performance of Cooperation Educational Unit (CEU) in Indonesia. The samples of this research are 101 CEUs of Senior High School level in Indonesia based on probability sampling, with simple random sampling method. Method of hypothesis testing uses Partial Least Square (PLS) to investigate the relationship of the variables by testing the validity, reliability, convergent validity, discriminant validity and use bootstrapping method to calculate the t-statistic. The results show that there is a significant influence of strategic leadership, organizational leadership, organizational culture, organizational commitment, and learning organization towards the performance of Cooperation Educational Unit (CEU) in Indonesia.


Sebatik ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
Mayla Surveyandini ◽  
Ady Achadi

Penelitian dengan judul “Pengaruh  Penerapan Total Quality Management  (TQM) Terhadap Kinerja Karyawan Pada Lembaga Kursus dan Pelatihan American English Course Purwokerto” ini bertujuan untuk menganalisis pengaruh penerapan TQM terhadap Kinerja Karyawan. Dari hasil penelitian ini diharapkan memberikan kontribusi yang positif baik bagi pihak perusahaan maupun pihak lainnya. Adapun jumlah sampel yang digunakan sebanyak 24 responden dan teknik pengambilan sampelnya menggunakan metode simple random sampling. Variabel independen dalam penelitian ini adalah Total Quality Management (TQM) dengan indikator Total Management Support, Quality Information, Process Management dan Product Design, dengan variabel dependennya adalah Kinerja Karyawan dengan indikator Lingkungan Kerja, Kemauan Kerja dan Kemampuan Kerja. Alat analisis dan pengujian hipotesisnya menggunakan Partial Least Square (PLS) dengan software WarpPLS used: 5.0. Hasil analisis data menggunakan PLS, ditemukan bahwa semua indikator empirik yang digunakan telah memenuhi pengujian outer model yang meliputi convergent validity, discriminant validity dan composite reliability dan pengujian inner model dengan melihat R-square-nya. Dengan menggunakan analisa PLS, dihasilkan P-valuenya < 0,05 yang berarti hipotesis yang diajukan dalam penelitian ini yaitu penerapan TQM berpengaruh signifikan terhadap Kinerja Karyawan dapat diterima.


Author(s):  
Goh Mei Ling ◽  
Ho Sew Tiep ◽  
Ng Zhu Er

Objective - The objective of this study is to investigate the determinants of customer satisfaction towards the mobile food delivery apps during the COVID-19 pandemic. Methodology/Technique - Website quality, service quality, price, and convenience were hypothesised to explain customer satisfaction towards mobile food delivery apps. 200 respondents were recruited using convenience sampling. Due to COVID-19, the data collection was done using Google Form which consisted of respondents' profile and measurements for all the constructs in this study. All the instruments of the variables were adapted from previous studies. Partial Least Square Structural Equation Modeling (PLS-SEM) was performed to assess the measurements' validity and test the relationship among the variables. Findings - Convergent validity and discriminant validity which were assessed via measurement model were satisfactory. The R-square value obtained was 0.565. This indicates that, the model explains customer satisfaction by 56.5% towards mobile food delivery apps during the COVID-19 pandemic. The findings show that website quality and convenience have significantly influenced customer satisfaction towards mobile food delivery apps. Service quality and price, however, were found insignificant. Website quality has been found as the most important predictor of customer satisfaction. Novelty - This study provided an insight into the customer satisfaction towards the mobile food delivery apps from the new norm of COVID-19 measured perspective. The apps' website quality and the convenience of using the apps were revealed as important factors that impact customer satisfaction significantly during the pandemic period. Type of Paper - Empirical. Keywords: Customer Satisfaction; Mobile Food Delivery Apps; COVID-19; Website Quality; Service Quality; Price; Convenience. JEL Classification: M15


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Puneet Kumar ◽  
Nayantara Padhi

PurposeThe purpose of this study is to bring about an exhaustive measurement instrument of employee engagement and validate the same in Indian settings.Design/methodology/approachThis descriptive and cross-sectional study initiates with reviewing the available literature in the field of employee engagement to identify factors affecting and the corresponding items defining them. Following the discussion with experts and industry professionals, an instrument was, thus, obtained to administer the primary data from employees working in public and private power companies in India. The study used Partial Least Square-Structural Equation Modeling (PLS-SEM) 3 to demonstrate employee engagement as a first-order reflective and second-order formative construct. Thereafter, reliability and convergent validity were assessed to validate the instrument.FindingsThis paper conceptualized employee engagement as a multi-factor construct (nine in numbers). The factors are “Respect”, “Supervisor's support and recognition”, “Growth and development”, “Creative and challenging job”, “Job significance”, “Perceived self-worth”, “performance evaluation and recognition” and “Organizational bureaucracy”. These factors are exhaustive and collectively define employee engagement. Distortion or omission in any of these items may distort the nature of construct as well.Originality/valuePrevious studies have defined the concept of employee engagement as unidimensional and thus observe serious lacunas. This study identified employee engagement as a multi-factor construct that incorporates the exhaustive nature of the organizational setting. Not only this study adds value to the existing body of knowledge in the field of employee engagement but also specify the measurement model as a formative one concerning employee engagement.


2019 ◽  
Vol 5 (1) ◽  
pp. 22
Author(s):  
Maryam Jameelah Hashim ◽  
Mohd Faizal Kamarudin ◽  
Nur Afizah Muhamad Arifin ◽  
Mohd Rahim Khamis

Cryptocurrency is a digital currency that is powered by blockchain technology. One of it is bitcoin, a system that is digitally created and traded tokens to which value is assigned. The level of adoption of bitcoin has accelerated due to several fiscal crises that leads to financial crashes that have affected the lives of millions of people. This has created a demand for new kinds of niche money. Issues need to be closely discussed before it is fully accepted by customers as a medium of exchange. Even though bitcoin is used as a medium of exchange, there is still no specific guidance and benefits to the users. The issues concernedare whether the customers will get the benefits of privacy, lower transaction costs and freedom in payment. Therefore, the aims of this paper are to identify the relationship between transaction cost, privacy and digital payment as a benefit of bitcoin as a medium of exchange. This research will be conducted in Klang Valley area and the questionnaires will be disseminated directly to respondents. These respondents will be identified using probability simple random sampling. A regression analysis will be conducted comprising 200 observations in Klang Valley, Malaysia. Partial least square-structural equation (PLS-SEM) will be used. In the measurement model, reliability will be assessed by examining the Composite Reliability (CR), while validity will be assessed by convergent validity and discriminant validity. Subsequently, structural model testing with 500 re-samples was applied to test the hypothesized relationships between exogenous variables and endogenous variable. Digital payment and privacy are statistically significant towards the benefit of using bitcoin as a medium of exchange. It was found that the digital payment contributes the highest benefit to the customers followed by privacy. The results provide interesting insight into the determinants for the customers benefit using bitcoin. Although the findings show significant results customers should always decide the good and bad thoroughly before finalizing their decisions on the usage of bitcoin. Therefore, it is hoped that this study will enrich the growing literature on the subject and future research needs to explore on the benefits of using bitcoin among the real users. This study is expected to give guidelines to the policymakers on the implementation of bitcoin as a medium of exchange. It is also expected that the results may provide interesting insight into the determinants of customer benefits using bitcoin. Simultaneously, it will contribute to the elements of industry, innovation and infrastructure.


2020 ◽  
Vol 3 (3) ◽  
pp. 419-433
Author(s):  
Erlita Dwi Anggraeni

Tujuan penelitian ini adalah menganalisis pengaruh advertising dan brand ambassador terhadap keputusan pembelian melalui brand image pada konsumen produk pembalut Charm di Kota Depok. Metode analisis pada penelitian ini menggunakan SEM (Structural Equation Modeling) dengan pendekatan PLS (Partial Least Square) (SEM - PLS). Tahap uji yang dilakukan menggunakan (outer model) yaitu uji convergent validity, discriminant validity, composite reliability dan (inner model) yaitu uji R - Square, Bootstrapping serta uji analisis SEM dengan efek mediasi. Data yang digunakan dalam penelitian ini menggunakan instrument kuesioner (online) dan data valid yang berhasil dikumpulkan sebanyak 100 responden. Metode pengambilan sampel dalam penelitian ini adalah purposive sampling. Alat bantu pengujian yang digunakan adalah SmartPLS 3. Hasil penelitian menunjukkan bahwa (1) Tidak terdapat pengaruh signifikan advertising terhadap keputusan pembelian, (2) Terdapat pengaruh yang positif dan signifikan brand ambassador terhadap keputusan pembelian, (3) Terdapat pengaruh yang positif dan signifikan brand image terhadap keputusan pembelian, (4) Terdapat pengaruh yang positif dan signifikan advertising terhadap brand image, (5) Terdapat pengaruh yang positif dan signifikan brand ambassador terhadap brand image, (6) Terdapat pengaruh yang positif dan signifikan advertising terhadap keputusan pembelian melalui brand image, (7) Terdapat pengaruh yang positif dan signifikan brand ambassador terhadap keputusan pembelian melalui brand image.


2013 ◽  
Vol 779-780 ◽  
pp. 1766-1769 ◽  
Author(s):  
Ke Hwa Lee ◽  
Shih Chih Che

In the social science research area, there are two important statistical methodologies, one is covariance-based structural equation modeling (CBSEM), and the other one is variance-based partial least square (PLS). Compared with CBSEM, PLS lacks comparatively the reference books and full applications. The main purpose of this study is to develop a paradigm to demonstrate how to assess the reliability, convergent validity, discriminant validity, and path analysis in a proposed research model by using Smart PLS. We hope this study’s result can offer some correct steps when using PLS.


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