A crash course on PLS-SEM using SmartPLS: Hands-on experience

Date & Time:  Every night from 8:30 to 10:00 from December 15 to 17(three nights)

Platform: zoom

Target participants: Consultant, practitioner, researcher and those who want to collect perceptions from respondents using a survey method and analyze it using state of the art statistical methods.

Registration fee BDT 4,500 only!

Tk 4,000 for PhD students, Lecturers and Assistant Professor. Tk 3, 000 for undergraduate students!!

Special offer: Two months license key for SmartPLS (worth Tk 4,500) will be provided!!!

How to pay? –  Please register first then you will get payment details in a reply email

The course includes:

1.       Hands-on experience

2.       A certificate

3.       Two months License key for SmartPLS

4.       Recorded video of the sessions

5.       E-books and relevant papers

About the speaker: https://sites.google.com/view/ms-islam

Event URL:

The medium of instructions will be in Bengali

Only 20 seats are available.

Please confirm your presence by registration.

Registration deadline: 24 hours before the event

Scan the QR code for registration or, click the link attached herewith

https://forms.gle/BbVdswSsGcnKyy6G7

Learning outcomes: After attending this online crash course, the participants will understand the application of the partial least square structural equation modeling (PLS-SEM) technique and will be able to write a research paper by using SmartPLS software. Specifically, participants will understand the contents listed below.

Course contents:  

1           Introduction to PLS-SEM

1.1          Why do we prefer SEM?

1.2          Characteristics of SEM

1.3          Inner model and outer model

1.4          Reflective vs. formative constructs

1.5          CB SEM and PLS-SEM

1.6          Justification of using PLS-SEM

2           Sample size determination

2.1          Using table

2.2          Using G*Power

2.3          Generalizability vs. model testing

2.4          Data screening

2.5          Reporting data distribution

3           Assessment of measurement model

3.1          Reflective measurement model

3.2          Internal consistency

3.3          Indicator reliability

3.4          Convergent validity (AVE)

3.5          Discriminant validity

3.6          Formative measurement model

3.7          Convergent validity

3.8          Collinearity among indicators

3.9          Significance and relevance of weights

4           Assessment of structural model

4.1          Testing the hypothesis

4.2          Size and significance of path Coefficients

4.3          Coefficients of determination (R2, Explained Variances)

4.4          Effect Sizes

4.5          Interpreting the results

5           Moderation effect

6           Mediation effect

A crash course on PLS-SEM using SmartPLS: Hands-on experience

Date & Time:  October 9, 10 and 11 from 9:30 AM to 12:30 PM (Saturday to Monday)

Platform: zoom

Target participants: Consultant, practitioner, researcher and those who want to collect data using a survey method and analyze it using state of the art statistical methods.

Registration fee BDT 6,000 only

Special attraction: Two months license key for SmartPLS (worth Tk 4,500) will be provided !!!

Special discount for PhD students, Lecturers and Assistant Professor

Tk 5000 Only ! Students Tk 4,000 only!

The course includes:

1.       Hands-on experience

2.       A certificate

3.       Two months License key for SmartPLS

4.       Recorded video of the sessions

5.       E-books and relevant papers

About the speaker: https://sites.google.com/view/ms-islam

The medium of instructions will be in Bengali

Only 20 seats are available.

Please confirm your presence by registration.

Registration deadline: 24 hours before the event

Scan the QR code for registration or, click the link attached herewith

https://forms.gle/zkHxdRHqHYn73kYR6

Learning outcomes: After attending this online crash course, the participants will understand the application of the partial least square structural equation modeling (PLS-SEM) technique and will be able to write a research paper by using SmartPLS software. Specifically, participants will understand the contents listed below.

Course contents:  

1           Introduction to PLS-SEM

1.1          Why do we prefer SEM?

1.2          Characteristics of SEM

1.3          Inner model and outer model

1.4          Reflective vs. formative constructs

1.5          CB SEM and PLS-SEM

1.6          Justification of using PLS-SEM

2           Sample size determination

2.1          Using table

2.2          Using G*Power

2.3          Generalizability vs. model testing

2.4          Data screening

2.5          Reporting data distribution

3           Assessment of measurement model

3.1          Reflective measurement model

3.2          Internal consistency

3.3          Indicator reliability

3.4          Convergent validity (AVE)

3.5          Discriminant validity

3.6          Formative measurement model

3.7          Convergent validity

3.8          Collinearity among indicators

3.9          Significance and relevance of weights

4           Assessment of structural model

4.1          Testing the hypothesis

4.2          Size and significance of path Coefficients

4.3          Coefficients of determination (R2, Explained Variances)

4.4          Effect Sizes

4.5          Interpreting the results

5           Moderation effect

6           Mediation effect

A crash course on PLS-SEM using SmartPLS: Hands-on experience

Date & Time:  July 8, 9 and 10 from 9:30 AM to 12:30 PM

Platform: zoom

Target participants: Consultant, practitioner, researcher and those who want to collect data using a survey method and analyze it using state of the art statistical methods.

Registration fee BDT 6,000 only

Special attraction: Two months license key for SmartPLS (worth Tk 4,500) will be provided !!!

Special discount for PhD students, Lecturers and Assistant Professor

Tk 5000 Only ! Other students Tk 4,000 only!

The course includes:

1.       Hands-on experience

2.       A certificate

3.       Two months License key for SmartPLS

4.       Recorded video of the sessions

5.       E-books and relevant papers

About the speaker: https://sites.google.com/view/ms-islam

The medium of instructions will be in Bengali

Only 20 seats are available.

Please confirm your presence by registration.

Registration deadline: 24 hours before the event

Scan the QR code for registration or, click the link attached herewith

https://forms.gle/fBjpw2M5PXfkNrJ99

Learning outcomes: After attending this online crash course, the participants will understand the application of the partial least square structural equation modeling (PLS-SEM) technique and will be able to write a research paper by using SmartPLS software. Specifically, participants will understand the contents listed below.

Course contents:  

1           Introduction to PLS-SEM

1.1          Why do we prefer SEM?

1.2          Characteristics of SEM

1.3          Inner model and outer model

1.4          Reflective vs. formative constructs

1.5          CB SEM and PLS-SEM

1.6          Justification of using PLS-SEM

2           Sample size determination

2.1          Using table

2.2          Using G*Power

2.3          Generalizability vs. model testing

2.4          Data screening

2.5          Reporting data distribution

3           Assessment of measurement model

3.1          Reflective measurement model

3.2          Internal consistency

3.3          Indicator reliability

3.4          Convergent validity (AVE)

3.5          Discriminant validity

3.6          Formative measurement model

3.7          Convergent validity

3.8          Collinearity among indicators

3.9          Significance and relevance of weights

4           Assessment of structural model

4.1          Testing the hypothesis

4.2          Size and significance of path Coefficients

4.3          Coefficients of determination (R2, Explained Variances)

4.4          Effect Sizes

4.5          Interpreting the results

5           Moderation effect

6           Mediation effect

Systematic literature review process: Hands-on experiences with Scopus and Google Scholar databases

Date & Time:  May 12, 2021(Wednesday Day) from 9:30 AM to 12:30 PM

Session objectives: After attending this session the participants will be able to understand the state of the art literature review process and will be able to write a systematic literature review paper in their respective fields.

Target participants: PhD students, researcher, teachers and those who are struggling to justify their research framework with relevant literature.

Registration fee: Regular fee BDT 1,500 . Ramadan fee BDT 1,000 only.

The workshop includes:

1.      Hands-on experience

2.      A certificate

3.      Recorded video of the sessions

4.      Relevant materials

The speaker is the coauthor of following literature review papers:

Tseng, M. L., Islam, M. S., Karia, N., Fauzi, F. A., & Afrin, S. (2019). A literature review on green supply chain management: Trends and future challenges. Resources, Conservation and Recycling, 141, 145-162. [Cited by 175]

Islam, S., Karia, N., Bin Ahmad FAUZI, F., & Soliman, M. S. M. (2017). A review on green supply chain aspects and practices. Management & Marketing, 12(1). [Cited by 38]

Islam, M. S., Moeinzadeh, S., Tseng, M. L., & Tan, K. (2021). A literature review on environmental concerns in logistics: trends and future challenges. International Journal of Logistics Research and Applications, 24(2), 126-151. [Cited by 4]

About the speaker: https://sites.google.com/view/ms-islam

The medium of instructions will be in Bengali

Limited seats are available.

Please confirm your presence by registration.

Registration deadline: 24 hours before the event

Scan the QR code for registration or, click the link attached herewith

https://forms.gle/P3fte3ymwYeKk5MN9

A crash course on PLS-SEM using SmartPLS: Hands-on experience

Date & Time:  March 27, 28 and 29 from 7:00 PM to 10:00 PM

Platform: zoom

Target participants: Consultant, practitioner, researcher and those who want to collect data using a survey method and analyze it using state of the art statistical methods.

Registration fee BDT 6,000 only

Special attraction: Two months license key for SmartPLS (worth Tk 4,500) will be provided !!!

Special discount for PhD students, Lecturers and Assistant Professor-Tk 5000 Only !

The course includes:

1.       Hands-on experience

2.       A certificate

3.       License key for SmartPLS

4.       Recorded video of the sessions

5.       E-books and relevant papers

About the speaker: https://sites.google.com/view/ms-islam

The medium of instructions will be in Bengali

Only 20 seats are available.

Please confirm your presence by registration.

Registration deadline: December 20, 2020

Scan the QR code for registration or, click the link attached herewith

https://forms.gle/7PAvcYALn6P5BTY4A

Learning outcomes: After attending this online crash course, the participants will understand the application of the partial least square structural equation modeling (PLS-SEM) technique and will be able to write a research paper by using SmartPLS software. Specifically, participants will understand the contents listed below.

Course contents:  

1           Introduction to PLS-SEM

1.1          Why do we prefer SEM?

1.2          Characteristics of SEM

1.3          Inner model and outer model

1.4          Reflective vs. formative constructs

1.5          CB SEM and PLS-SEM

1.6          Justification of using PLS-SEM

2           Sample size determination

2.1          Using table

2.2          Using G*Power

2.3          Generalizability vs. model testing

2.4          Data screening

2.5          Reporting data distribution

3           Assessment of measurement model

3.1          Reflective measurement model

3.2          Internal consistency

3.3          Indicator reliability

3.4          Convergent validity (AVE)

3.5          Discriminant validity

3.6          Formative measurement model

3.7          Convergent validity

3.8          Collinearity among indicators

3.9          Significance and relevance of weights

4           Assessment of structural model

4.1          Testing the hypothesis

4.2          Size and significance of path Coefficients

4.3          Coefficients of determination (R2, Explained Variances)

4.4          Effect Sizes

4.5          Interpreting the results

5           Moderation effect

6           Mediation effect

Learn Fuzzy IPA method!!!

A workshop on Fuzzy IPA method

Fuzzy importance and performance analysis (IPA)method is useful for multi criteria/attributes decision making process. Particularly it is commonly used for:

·         Assessment/evaluation purpose

·         Identifying the performance and importance levels of criteria

·         Identifying the priority criteria for performance enhancement

·         Identifying products/services’ performance status

Date & Time:  March 6, 2021 from 7:00 PM to 10:00 PM

Platform: zoom

Target participants: Consultant, practitioner, researcher and those who want to collect data using a survey method and analyze it using state of the mathematical model.

Registration fee BDT 1, 500 only

About the speaker: https://sites.google.com/view/ms-islam

The medium of instructions will be in Bengali

Limited seats are available.

Please confirm your presence by registration.

Registration deadline: March 5, 2021

Scan the QR code for registration or, click the link attached herewith

https://forms.gle/4y7FBfKrsybgZ1zc8