Dataset_Digital_Transformation_Leadership_Job_Performance_Peru_SMEs

Description

This dataset contains survey data collected to examine the relationship between digital transformation, transformational leadership, and job performance in small and medium-sized enterprises (SMEs) in the foreign trade logistics sector in Peru. The data were obtained from 320 non-managerial operational employees working in logistics, warehousing, transportation, and distribution activities. The dataset includes variables measuring digital transformation (DT), transformational leadership (TL), and job performance (JP), along with demographic control variables (gender, age, and type of company). Digital transformation was measured using an instrument based on Leading Digital, capturing both digital capabilities and digital leadership capabilities. Transformational leadership was assessed using selected dimensions of the Multifactor Leadership Questionnaire, specifically idealized influence, inspirational motivation, intellectual stimulation, and individualized consideration. Although the full instrument includes multiple leadership styles, only the transformational leadership dimension is used in the empirical analysis. Job performance was measured based on Work Role Performance scale, including task performance, contextual performance, and counterproductive work behavior. All items were measured using Likert-type scales (7-point for digital transformation and 5-point for leadership and job performance). The dataset is structured in tabular format, where each row represents an individual respondent and each column corresponds to a measurement item or variable. This dataset can be used for research in digital transformation, leadership, organizational behavior, and emerging economy contexts, as well as for replication studies and structural equation modeling (SEM) applications.

Steps to reproduce

Steps to Reproduce Load the dataset into statistical software (e.g., SmartPLS, R, SPSS, or Stata). Identify constructs as follows: Digital Transformation (DT): DTCAP1–DTCAP10, DTLDR1–DTLDR10 Transformational Leadership (TL): TF_IIA, TF_IIB, TF_IM, TF_IS, TF_IC items Job Performance (JP): TP, CP, and CWB items Treat all constructs as reflective (Mode A). Assess the measurement model: Indicator loadings (> 0.70) Composite reliability (> 0.70) Average variance extracted (AVE > 0.50) Assess discriminant validity using the Fornell-Larcker criterion. Estimate the structural model using PLS-SEM. Perform bootstrapping (5,000 resamples) to test path coefficients and mediation effects. Evaluate R², f², and Q²predict for model performance.

Institutions

• Pontificia Universidad Católica del Perú

  Lima Province, Lima

Categories

Licence