Learn R Programming

cSEM (version 0.3.1)

ITFlex: Data: ITFlex

Description

A data frame containing 16 variables with 100 observations.

Usage

ITFlex

Arguments

Format

A data frame containing the following variables:

ITCOMP1

Software applications can be easily transported and used across multiple platforms.

ITCOMP2

Our firm provides multiple interfaces or entry points (e.g., web access) for external end users.

ITCOMP3

Our firm establishes corporate rules and standards for hardware and operating systems to ensure platform compatibility.

ITCOMP4

Data captured in one part of our organization are immediately available to everyone in the firm.

ITCONN1

Our organization has electronic links and connections throughout the entire firm.

ITCONN2

Our firm is linked to business partners through electronic channels (e.g., websites, e-mail, wireless devices, electronic data interchange).

ITCONN3

All remote, branch, and mobile offices are connected to the central office.

ITCONN4

There are very few identifiable communications bottlenecks within our firm.

MOD1

Our firm possesses a great speed in developing new business applications ormodifying existing applications.

MOD2

Our corporate database is able to communicate in several different protocols.

MOD3

Reusable software modules are widely used in new systems development.

MOD4

IT personnel use object-oriented and prepackaged modular tools to create software applications.

ITPSF1

Our IT personnel have the ability to work effectively in cross-functional teams.

ITPSF2

Our IT personnel are able to interpret business problems and develop appropriate technical solutions.

ITPSF3

Our IT personnel are self-directed and proactive.

ITPSF4

Our IT personnel are knowledgeable about the key success factors in our firm.

Details

The dataset was studied by Benitez2018;textualcSEM and is used in Henseler2020;textualcSEM for demonstration purposes, see the corresponding tutorial. All questionnaire items are measured on a 5-point scale.

References

Examples

Run this code
# NOT RUN {
#============================================================================
# Example is taken from Henseler (2020)
#============================================================================
model_IT_Fex="
# Composite models
ITComp  <~ ITCOMP1 + ITCOMP2 + ITCOMP3 + ITCOMP4
Modul   <~ MOD1 + MOD2 + MOD3 + MOD4
ITConn  <~ ITCONN1 + ITCONN2 + ITCONN3 + ITCONN4
ITPers  <~ ITPSF1 + ITPSF2 + ITPSF3 + ITPSF4

# Saturated structural model
ITPers ~ ITComp + Modul + ITConn
Modul  ~ ITComp + ITConn 
ITConn ~ ITComp 
"

out <- csem(.data = ITFlex, .model = model_IT_Fex,
           .PLS_weight_scheme_inner = 'factorial',
           .tolerance = 1e-06,
           .PLS_ignore_structural_model = TRUE)

# }

Run the code above in your browser using DataLab