Identifying the factors of internal green marketing: a scale development and psychometric evaluation approach

Purpose - The purpose of this paper is to perform a psychometric evaluation of the internal green marketing (IGM) scale in the context of consumer, industrial and service industry from a developing economy. Drawing on IGM theory, this study validates the measurement scales to operationalize IGM as green internal communication (GIC), green skill development (GSD) and green rewards (GRs). Design/methodology/approach - The sample was drawn from the consumer, industrial and service industries in Jammu and Kashmir, India, using a random sampling method. Data were collected from consumer, industrial and service industries in two phases through a self-administrated questionnaire-based survey. In total, 137 managers responded during the first phase, and 368 managers responded during the second phase. During the first phase, exploratory factor analysis (EFA) was conducted to uncover the underlying dimensions of IGM, and during the second phase, data were analyzed to test the validity of the IGM scale through confirmatory factor analysis (CFA). Findings - EFA suggested a three-dimension scale (green internal communication (GIC), green skill development (GSD), and green rewards (GR)) which was confirmed by CFA. The findings of the study demonstrate that IGM is a valid and reliable scale to capture the individual-level perception of the employees with respect to the green internal marketing of an organization. Practical implications - This paper is expected to provide valuable insights into the area of internal green marketing (IGM) about an industry that can be of immense help to domestic and international marketers in formulating human resource (HR)/marketing strategies. Further, it provides a wide-ranging scale that can act as a base for future research studies that aim to explore internal green marketing (IGM) in different organizational settings. Originality/value - IGM is embedded in three underlying elements as GIC, GSD and GRs. It is suitable to the practitioner and researchers to operationalize IGM as a second-order construct in future studies.