DOI: 10.57760/sciencedb.27345
title: The impact of green consumption behavior on employee green behavior
title: The impact of green consumption behavior on employee green behavior

description: This dataset was generated as part of a multi-wave field study and an online experiment designed to examine how individuals' green consumption behavior relates to workplace green behavior. In Study 1, we employed a two-wave time-lagged field survey to enhance external validity. Participants were recruited using a snowball sampling method through the authors’ alumni and professional social networks across multiple regions in China. At Time 1, participants completed a questionnaire assessing their green consumption behavior, warm glow, environmental concern, and demographic variables. A total of 408 employees submitted valid responses. Two weeks later, the same participants were invited to complete a Time 2 survey measuring organizational belongingness and employee green behavior. This second wave yielded 375 valid responses, resulting in a high response rate of 91.91%. All participants provided informed consent and were assured of the confidentiality and academic purpose of the study.The required sample size was estimated using G*Power (version 3.1), which indicated that 146 participants were needed to detect an effect size of f = 0.25 with a power of 0.85 and α = 0.05. To cross-validate the findings, Study 2 involved an online experiment with full-time employees recruited via Credamo, a professional data collection platform in China. A total of 150 valid responses were collected. Participation was limited to users with a credit score above 80 (out of 100), ensuring high response quality. Several attention-check questions were embedded to exclude inattentive respondents. Demographic information showed that 49.3% of participants were female, 40.0% were under 30 years old, and 80.0% held at least a bachelor's degree.All data were collected using structured self-report questionnaires programmed and delivered via professional survey platforms. Data preprocessing involved screening for incomplete entries, removing invalid responses based on attention checks, and anonymizing any identifying information. The final dataset includes complete responses only; thus, no missing data are present in the shared dataset.The dataset is structured in tabular format (.xlsx and .csv) and includes the following variables:Participant_ID: anonymized code for each respondentGreen_Consumption: participants’ self-rated green consumption behavior (Likert scale, unitless)Warm_Glow, Environmental_Concern, Organizational_Belongingness, Green_Behavior: psychological constructs measured with validated multi-item scales, all using 7-point Likert scalesGender, Age_Group, Education, Industry, and other demographic fieldsEach row represents a single participant’s responses, and each column represents a questionnaire item or demographic variable. Measurement units are not applicable for Likert-type responses.There are no known systematic errors in the dataset. Minor self-reporting bias may exist due to the nature of subjective questionnaires, but multiple measures were taken to reduce response bias, including anonymity and attention checks. The dataset does not contain any spatial information, and while time-lagged, the data are cross-sectional in structure with two points of measurement (Time 1 and Time 2) spaced approximately two weeks apart.
description: This dataset was generated as part of a multi-wave field study and an online experiment designed to examine how individuals' green consumption behavior relates to workplace green behavior. In Study 1, we employed a two-wave time-lagged field survey to enhance external validity. Participants were recruited using a snowball sampling method through the authors’ alumni and professional social networks across multiple regions in China. At Time 1, participants completed a questionnaire assessing their green consumption behavior, warm glow, environmental concern, and demographic variables. A total of 408 employees submitted valid responses. Two weeks later, the same participants were invited to complete a Time 2 survey measuring organizational belongingness and employee green behavior. This second wave yielded 375 valid responses, resulting in a high response rate of 91.91%. All participants provided informed consent and were assured of the confidentiality and academic purpose of the study.The required sample size was estimated using G*Power (version 3.1), which indicated that 146 participants were needed to detect an effect size of f = 0.25 with a power of 0.85 and α = 0.05. To cross-validate the findings, Study 2 involved an online experiment with full-time employees recruited via Credamo, a professional data collection platform in China. A total of 150 valid responses were collected. Participation was limited to users with a credit score above 80 (out of 100), ensuring high response quality. Several attention-check questions were embedded to exclude inattentive respondents. Demographic information showed that 49.3% of participants were female, 40.0% were under 30 years old, and 80.0% held at least a bachelor's degree.All data were collected using structured self-report questionnaires programmed and delivered via professional survey platforms. Data preprocessing involved screening for incomplete entries, removing invalid responses based on attention checks, and anonymizing any identifying information. The final dataset includes complete responses only; thus, no missing data are present in the shared dataset.The dataset is structured in tabular format (.xlsx and .csv) and includes the following variables:Participant_ID: anonymized code for each respondentGreen_Consumption: participants’ self-rated green consumption behavior (Likert scale, unitless)Warm_Glow, Environmental_Concern, Organizational_Belongingness, Green_Behavior: psychological constructs measured with validated multi-item scales, all using 7-point Likert scalesGender, Age_Group, Education, Industry, and other demographic fieldsEach row represents a single participant’s responses, and each column represents a questionnaire item or demographic variable. Measurement units are not applicable for Likert-type responses.There are no known systematic errors in the dataset. Minor self-reporting bias may exist due to the nature of subjective questionnaires, but multiple measures were taken to reduce response bias, including anonymity and attention checks. The dataset does not contain any spatial information, and while time-lagged, the data are cross-sectional in structure with two points of measurement (Time 1 and Time 2) spaced approximately two weeks apart.