Looking at the contradiction between the prevalence of self-quantification and unclear applicable boundaries, the objective of this study is to examine the internal mechanism of how self-quantification influences consumers’ participation and behavioral decision-making in green consumption activities. Based on the goal setting theory, a series of research hypotheses were proposed. Four experiments were designed and performed in different situations with different subjects. Through the analysis of variance and bootstrap testing, the experimental data were analyzed and processed. The results show that, under specific goals, consumers with low self-quantification participate more in promotional activities and less in defensive activities. In promotional green consumption activities, self-quantification enables consumers with (without) goal requirements to reduce (enhance) their participation performance, and choose high-intensity promotional activity categories less (more) with better (worse) participation experience. In defensive green consumption activities, self-quantification enables consumers with (without) goal limitations to enhance (reduce) participation performance and choose high-intensity defensive categories more (less) with better (worse) participation experience. The conclusions can provide enlightenment for enterprises to guide consumers to participate in green consumption activities.

Purpose: In this article, the elementary notions and aggregation operations of single-valued neutrosophic parameterized complex fuzzy hypersoft set (sv-NPCFHSS) are characterized initially. Then by using matrix version of sv-NPCFHSS, a decision-support system is constructed for the evaluation of real estate residential projects by observing various risk factors.Design/methodology/approach: Two approaches are utilized in this research: set-theoretic approach and algorithmic approach. The first approach is used to investigate the notions of sv-NPCFHSS and its some aggregations whereas the second approach is used to propose an algorithm for designing its decision-support system by using the aggregation operations like reduced fuzzy matrix, decision matrix, etc. of sv-NPCFHSS. The adopted algorithm is validated in real estate scenario for the selection of residential project by observing various risk factors to avoid any expected investment loss.Findings: The proposed approach is more flexible and reliable as it copes with the shortcomings of literature on sv-neutrosophic set, sv-neutrosophic soft set and other fuzzy soft set-like structures by considering hypersoft setting, complex setting and neutrosophic setting collectively.Research limitations/implications: It has limitations for complex intuitionistic fuzzy hypersoft set, complex neutrosophic hypersoft set and other complex neutrosophic hypersoft set-like models.Practical implications: The scope of this research may cover a wide range of applications in several fields of mathematical sciences like artificial intelligence, optimization, MCDM, theoretical computer science, soft computing, mathematical statistics etc.Originality/value: The proposed model bears the characteristics of most of the relevant existing fuzzy soft set-like models collectively and fulfills their limitations.

As individuals are involved in self-quantification, increasing fields are applying self-quantification with technical support, and a clear understanding of the influencing mechanism and effect boundary of self-quantification is indispensable. Focusing on the field of physical fitness, under different goal settings, the influencing mechanisms of self-quantification on an individual’s participation performance (outcome, experience, persistence intention) and behavioral decision-making (category selection, novelty-seeking) are analyzed and confirmed. The results show that when there is no goal, self-quantification will enhance outcome salience, thus enhancing the individual’s participation outcome and selection for highly healthy categories; self-quantification will reduce perceived enjoyment, thus damaging participation experience and novelty-seeking, but does not affect the persistence intention. When there is a goal, self-quantification will enhance perceived certainty, thus reducing the individual’s participation outcome and selection for highly healthy categories; self-quantification will enhance perceived enjoyment, thus improving the participation experience, persistence intention, and novelty-seeking. Compared to descriptive analysis of phenomena, through laboratory and field experiments, this research confirms the influencing mechanism and effect boundary of self-quantification on an individual’s activity participation performance in real situations. This provides a theoretical basis for understanding the targeted behavioral decision-making patterns of individuals in different types of self-quantification activities.

The era of self-quantification in green consumption has dawned, encompassing everything from monitoring electricity usage to tracking carbon emissions. By leveraging technological tools to track self-related data pertaining to green behavioral activities, individuals develop self-knowledge and engage in reflection, which in turn influence their participation and even behavioral decisions regarding green activities. Nevertheless, sustainability in consumers’ green behavior is paramount, hinging not merely on participation outcomes but also on behavioral innovation within green activities. Distinct from prior research, this study delves into behavioral preferences transcending mere participation outcomes. It examines the influence of self-quantification on consumers’ green behavioral innovation from the lens of sustainability, elucidating the underlying mechanisms and boundary conditions that govern self-quantification’s effect on the diversity and novelty of consumers’ green behaviors. Drawing on findings from multiple situational experiments, we demonstrate that, in contrast to non-self-quantification, a promotional (defensive) goal orientation tends to diminish (intensify) the innovation of consumers’ behavioral choices. Additionally, consumers’ cognitive flexibility acts as a mediator in the relationship between self-quantification and behavioral innovation, contingent upon their goal orientation. Furthermore, the level of goal concreteness in behavioral activities serves as a moderator, influencing the impact of self-quantification on consumers’ cognitive flexibility under different goal orientations. By investigating the mechanisms through which self-quantification shapes consumers’ green behavioral innovation under varying conditions, this study offers valuable insights for enterprises seeking to guide consumers toward innovative and sustainable green consumption practices.