Search results

Millennials, an understudied segment of the sustainable market, are enthusiastic about adopting greener lifestyles but fail to translate pro-environmental attitudes to actual behavior, thus understanding factors that motivate their actual purchase of green products is imperative. Using the consumer socialization framework, the researchers studied the impacts of social structural variables (i.e. age, gender, education and family structure), socialization agents (i.e. family, peers and mass media) and environmental concern on the buying behaviors of millennials from two of the world’s most populous nations: India and China.

Using online panels (Amazon M-Turk and sojump.com), online surveys were administered to an online sample of millennials aged 18-24 years from India (n = 253) and China (n = 255).

Hierarchical regressions showed that peer communication predominantly influenced green buying behavior of millennials from India, while family communication was most important to Chinese millennials. Environmental concern, an attitudinal outcome, directly impacted behavior and also mediated the relationship between significant socialization agents and buying behavior in both countries.

Considering the importance given to peers (India) and family (China), green marketers have to use specialized strategies when marketing their products to millennials in India and China. Instead of focusing on mass media campaigns, the study highlights the importance of “personal” social networks to curb the environmental issues plaguing their respective countries.

The current study extends the literature on millennials’ green consumer behavior by exploring millennials in India and China. The consumer socialization framework has not been applied to countries like India and China, and to understand green consumerism, the role played by influential agents such as family and peers in these collectivistic cultures and their potential to change green attitudes and behavior warrants further exploration. The possibility of mediating effects has been represented by weak correlations between socio-demographic and psychological factors. Using the consumer socialization framework, the current study explores environmental concern (EC) as a mediator in the model.

Non-fungible tokens (NFTs) are gaining popularity as investments and personal indulgences, prompting brands to integrate them into marketing campaigns. Thus, understanding consumer personality traits toward NFTs is essential for success. This study presents a model that explores how social comparison orientation (SCO) influences perceived exclusivity and financial benefits of NFT marketing, subsequently impacting experiential evaluations, willingness to purchase NFTs and brand loyalty.

We conducted two experiments to test our model. Study 1 used a quasi-experiment with 1,053 participants and tested the model using partial least squares–based structural equation modeling. In Study 2, we aimed to investigate the causal influence of SCO on NFT marketing effectiveness. We employed a one-factor experiment (social comparison prime: high SCO vs. control) with 123 participants.

NFT users frequently engage in social comparisons and prefer branded NFTs that offer exclusivity (social value) and financial benefits (economic value). Social and financial superiority derived from NFTs enhances branded NFT experiences, leading to a stronger willingness to purchase NFTs and building brand loyalty. Perceived exclusivity, financial benefits and experiential evaluation mediate the effects of SCO on willingness to purchase NFTs and brand loyalty.

This study explores the effectiveness of NFT marketing through the lens of social comparison theory. In doing so, we examined the relationship between SCO and NFT marketing outcomes, revealed the causal influence of SCO on perceived exclusivity and perceived benefits in NFT marketing and shed light on the serial mediation of value- and experience-related constructs.

This paper intends to discover, analyze and construct a model that may be used to measure the interactions between major factors which are identified by expert opinion and literature review for sustainable maintenance specific to manufacturing industries using the total interpretive structural modeling (TISM) approach.

In total, 12 factors were acknowledged from the literature review and the opinions of experts from manufacturing industries. Scheduled interviews with the employees were conducted by using the questionnaire which is developed from the identified 12 factors in order to find the interrelationships among these factors. The TISM approach is used for analyzing factors' interrelationships. The Matrice d'Impacts Croises Multiplication Appliques a un Classement (MICMAC) approach is used to identify the key factors which influence sustainable maintenance.

This paper found 12 factors that have ascendancy over the sustainable maintenance practices in the industry by reviewing the literature and consulting industry experts to realize the linkage between the factors. The results found that availability rate, adopting government policies, training and education are key factors that influence sustainable maintenance.

The proposed model would be valuable for experts to understand the factors influencing sustainable maintenance in the industry. This model can be used by an organization's maintenance managers to implement sustainable maintenance practices in their plants.

This study analyzes the interrelationship between factors influencing sustainable maintenance in manufacturing industries, which is a new effort in this domain of practice.