Causal complexity of sustainable consumption: Unveiling the equifinal causes of purchase intentions of plant-based meat alternatives

Bhattacharyya, Jishnu; Balaji, M.S.; Jiang, Yangyang

doi:10.1016/j.jbusres.2022.113511

Cited by 23 publications

(14 citation statements)

References 64 publications

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“…Li & Wen, 2019;. The theory has been extensively applied in research studies related to sustainable consumption (Bhattacharyya et al, 2023;Hwang & Yeo, 2022), low-carbon consumption (Jiang et al, 2019), green consumption (Liang et al, 2022;Tan et al, 2022), shared consumption (Roos & Hahn, 2017), and other forms of consumption (Tandon et al, 2021).…”

Section: The Theory Of Consumption Values and Ecsmentioning

confidence: 99%

Factors Influencing University Students’ Behavioral Intention to Use Electric Car-Sharing Services in Guangzhou, China

Yu,

Zhang,

Teoh

et al. 2023

SAGE Open

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Along with reducing traffic congestion, electric car-sharing (ECS) can also solve travel demand, utilize idle resources, and enhance forms of transportation. Accordingly, university students are identified in Guangzhou, China as a promising customer group for ECS companies. Although university students in Guangzhou, China are unique in the context of ECS, few researchers have studied the factors that influence their willingness to use such services. Hence, this paper investigates the key determinants that affect university students’ behavioral intention (BI) to use ECS in Guangzhou, China. Based on an extension of the unified theory of acceptance and use of technology (UTAUT), this paper examines the effects of the constructs on BI to use ECS and the moderating role of trust in ECS. Based on results from a questionnaire of 486 university students in Guangzhou, China, conditional value (CV) was the most critical driver of BI, followed by personal attitude (PA) and sustainability (SUST). The moderating analysis showed that taking gender, education, and driving experience of university students as control variables, trust was found to have a significant positive moderating impact on the relationship between PA and BI to use ECS, and a significant negative moderating effect of trust on the relationship between CV and BI to use ECS. The implications of these findings are discussed.

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Section: The Theory Of Consumption Values and Ecsmentioning

confidence: 99%

Factors Influencing University Students’ Behavioral Intention to Use Electric Car-Sharing Services in Guangzhou, China

Yu,

Zhang,

Teoh

et al. 2023

SAGE Open

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“…Second, the TCV is applicable to decisions involving a broad spectrum of product types (e.g., consumer durables and nondurables) (Sheth et al, 1991). It has proven its ability to predict choice behavior in over 200 consumption contexts, including low‐and high‐involvement sustainable product categories such as organic foods (Chakraborty & Dash, 2023), plant‐based meat alternatives (Bhattacharyya et al, 2023), green information technology products (Biswas & Roy, 2015), and green electric vehicles (Bhutto et al, 2022), among others. While the TCV predominantly predicts consumers' behavioral patterns, it would be an oversimplification to assert that the effects of value dimensions are consistent across all types of sustainable product categories.…”

Section: Literature Review and Theoretical Backgroundmentioning

confidence: 99%

“…FUV relates to a consumer's perception of a product's or service's utilitarian (i.e., performance) and functional benefits (Sweeney & Soutar, 2001). It directly influences market demand and operates as the principal benchmark for consumers when evaluating sustainable product choices (Bhattacharyya et al, 2023). Within the luxury consumption literature, utilitarian factors such as superior quality, durability, craftsmanship, and rarity are identified as integral to luxury products, ultimately determining FUV (Jain, 2019; Wiedmann et al, 2009).…”

Section: Conceptual Model and Hypotheses Developmentmentioning

confidence: 99%

“…Lastly, on methodological fronts, future studies can explore other nonlinear activation functions (e.g., softmax and hyperbolic tangent) in ANN modeling to further fine‐tune the predictive capability of our model. Alternatively, researchers can combine the PLS‐SEM with other machine learning methods such as random decision forests, gradient boosting, and asymmetric fuzzy‐set qualitative comparative analyses to causally characterize specific value configurations that can conjointly lead to a high level of sustainable luxury purchases, thereby enriching our model's vigor (e.g., Bhattacharyya et al, 2023).…”

Section: Implications Limitations and Future Directionsmentioning

confidence: 99%

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Predicting the value‐based determinants of sustainable luxury consumption: A multi‐analytical approach and pathway to sustainable development in the luxury industry

Essiz,

Senyuz

2023

Bus Strat Env

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Concern for the environment is prevalent among luxury consumers, and sustainable development has become a pervasive theme in the luxury industry. However, there has been limited empirical research on the burgeoning area of sustainable luxury to profile the characteristics of sustainable luxury consumers. In this research, we explore how value perceptions impact consumers' purchase intentions for sustainable luxury products by building an integrated predictive framework based on the theory of consumption values. We deploy a hybrid partial least squares structural equation modeling–artificial neural network approach with additional importance‐performance map analyses to study a sample of 894 luxury consumers in the United States. The empirical findings show that sustainable luxury is profoundly value‐driven. After accounting for linear and nonlinear patterns, functional, emotional, epistemic, conditional, and green consumption values exhibit significant positive impacts on purchase intention, with the exception of social value. Further, we elucidate a theoretically grounded mediator (conspicuous ethical self‐identity) and a moderator (green advertising receptivity) that buffer the link between consumption values and purchase intention. We also uncover cross‐generational disparities, in which millennials—compared to Gen X—display greater conspicuous ethical self‐identity as well as higher levels of green advertising receptivity and purchase intention. From a theoretical perspective, this research contributes to sustainability marketing literature and advances our understanding of the psychographic, behavioral, and demographic factors that influence sustainable luxury consumption. On a managerial basis, this research offers insights for luxury brand practitioners on how to leverage multidimensional value perceptions in their sustainable product positioning and communication strategies.

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“…Complexity theory has been employed across disciplines to elucidate the heterogeneity, nonlinearity and dynamics inherent in complex systems [ 33 ]. Complexity theory has four basic principles: conjunction, equifinality, asymmetry, and causal asymmetry [ 34 ]. Conjunction implies that an outcome is the result of a combination of interdependent conditions, rather than being attributed to a singular cause [ 35 ].…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Understanding consumers’ intentions to purchase smart clothing using PLS-SEM and fsQCA

Chen,

2023

PLoS ONE

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With the advancement of artificial intelligence (AI) and the Internet of Things (IoT), smart clothing, which has enormous growth potential, has developed to suit consumers’ individualized demands in various areas. This paper aims to construct a model that integrates that technology acceptance model (TAM) and functionality-expressiveness-aesthetics (FEA) model to explore the key factors influencing consumers’ smart clothing purchase intentions (PIs). Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the data, complemented by fuzzy-set qualitative comparative analysis (fsQCA). The PLS-SEM results identified that the characteristics of functionality (FUN), expressiveness (EXP), and aesthetics (AES) positively and significantly affect perceived ease of use (PEOU), and only EXP affects perceived usefulness (PU). PU and PEOU positively impact consumers’ attitudes (ATTs). Subsequently, PU and consumers’ ATTs positively influence PIs. fsQCA revealed the nonlinear and complex interaction effects of the factors influencing consumers’ smart clothing purchase behaviors and uncovered five necessary and six sufficient conditions for consumers’ PIs. This paper furthers theoretical understanding by integrating the FEA model into the TAM. Additionally, on a practical level, it provides significant insights into consumers’ intentions to purchase smart clothing. These findings serve as valuable tools for corporations and designers in strategizing the design and promotion of smart clothing. The results validate theoretical conceptions about smart clothing PIs and provide useful insights and marketing suggestions for smart clothing implementation and development. Moreover, this study is the first to explain smart clothing PIs using symmetric (PLS-SEM) and asymmetric (fsQCA) methods.

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Causal complexity of sustainable consumption: Unveiling the equifinal causes of purchase intentions of plant-based meat alternatives

Cited by 23 publications

References 64 publications

Factors Influencing University Students’ Behavioral Intention to Use Electric Car-Sharing Services in Guangzhou, China

Factors Influencing University Students’ Behavioral Intention to Use Electric Car-Sharing Services in Guangzhou, China

Predicting the value‐based determinants of sustainable luxury consumption: A multi‐analytical approach and pathway to sustainable development in the luxury industry

Understanding consumers’ intentions to purchase smart clothing using PLS-SEM and fsQCA

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