SmartPLS SAMPLE DATA
This data idea is built from the article by Rumanti et al. (2021) – “Cleaner production through open innovation in small and medium-sized (SME) batik enterprises in Indonesia.” See full article here.
Rumanti, A. A., Sunaryo, I., Wiratmadja, I. I., & Irianto, D. (2021). Cleaner production through open innovation in Indonesian batik small and medium enterprises (SME). The TQM Journal, 33(6), 1347–1372.
Batik fabric in Indonesia is very famous. You can refer to this for more information here.
Batik fabric in Indonesia is very famous. You can learn more here.
Batik is a traditional cloth created using wax dyeing techniques and printing patterns using traditional manual methods. Batik art appeared more than 2500 years ago in the Far East, Middle East, Central Asia, India, Indonesia, Malaysia… Although not the birthplace of Batik, Indonesia is considered the country of Batik, where the art Batik art reached its peak. Batik fabric is considered an Indonesian national brand product in the world.
(Source: Wikipedia)
♥ Payment and some notes with the Sample Data Set
The sample data set is compatible with the model presented here. The data set is fixed and there is no option to customize according to customer requirements. If you have any other request please use our Data Processing service here.
Note that this dataset is not unique, so many people may have purchased it. However, currently this dataset has no users yet.
Payment method: pay first, receive data later.
Payment terms: If you buy data, please transfer money to the account:
Account holder: NGUYEN THANH TIEN
ACB Account 4707776 (THANH DA Transaction Office)
Transfer content: Data code + space + your email (only take the part before @)
For example, your email is hathu2212@gmail.com, the transfer content is as follows: Data23060701 hathu2212
After transferring, please send an email with payment documents confirming successful transfer to email address phatichamos@gmail.com or send a direct message to zalo at 0971.202.308. We will send the data file to you within 30 minutes after receiving the transfer information. The data file includes data files pre-encoded in spss and related model files, if any. In the file sent to you, we have included an article inspired by creating sample data (if any).
♥ Data Information
Data code: Data23060701
Price: 679,000 VND
♥ Data Description
- PLS SEM high-order model running SmartPLS
Note that this dataset is not unique, so many people may have purchased it. However, currently this dataset has no users yet.
Payment method: pay first, receive data later.
Payment terms: If you buy data, please transfer money to the account:
Account holder: NGUYEN THANH TIEN
ACB Account 4707776 (THANH DA Transaction Office)
Transfer content: Data code + space + your email (only take the part before @)
For example, your email is hathu2212@gmail.com, the transfer content is as follows: Data23060701 hathu2212
After transferring, please send an email with payment documents confirming successful transfer to email address phatichamos@gmail.com or send a direct message to zalo at 0971.202.308. We will send the data file to you within 30 minutes after receiving the transfer information. The data file includes data files pre-encoded in spss and related model files, if any. In the file sent to you, we have included an article inspired by creating sample data (if any).
♥ Data Information
Data code: Data23060701
Price: 679,000 VND
♥ Data Description
- PLS SEM high-order model running SmartPLS
- Sample size: 182
- Description: The model has 8 first-order latent variables and 2 higher-order latent variables. Details of the scale in the original article are not shown, so those who refer to this data need to research more about the scale set. In this dataset, we will shorten the indicators that the original article rejected.
- Model running PLS SEM using SmartPLS 4: Gives good results. Hypotheses H1, H2 and H3 are all supported, hypothesis H4 is not supported. This result matches the results of the original article. The research hypotheses of the original article are as follows: ♪ H1. Open innovation positively influenced cleaner production ♪ H2. Open innovation climate positively influenced open innovation ♪ H3. Environmental dynamism moderates the positive influence of open innovation climate toward open innovation ♪ H4. Environmental competitiveness moderates the positive influence of open innovation climate toward open innovation
- Statistical information section: Here, based on the original article, the information section is presented specifically for batik businesses in Indonesia. Therefore, we do not generate data for this section. However, if you need it, after purchasing the data, we will support creating the data according to your wishes to suit the research context.
♥ Data analysis results using SmartPLS 4
- Model testing in stage 1 – testing first-order latent variables
In phase 1, we evaluate the measurement model for the first-order latent variables. Testing criteria include: reliability, discrimination, convergence.
The test results show that the first-order latent variables measurement model ensures reliability, discrimination and convergence.
Phase 2 we evaluate the final measurement model. The testing steps are similar to a first-order regular model.
♥ WE HOPE YOU ARE SATISFIED USING THIS DATA SET ♥
Tip: You should change the sample size to have a set of data that does not overlap with previous buyers, by deleting the number of data lines in the data file, it is recommended to delete within 5 lines.
