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This study in Iran examined the role of internal and external psychological factors that affected green purchase intention. Moreover, it examined these variables' direct and indirect effects and green purchase intention on green purchase behavior.

An extended version of the theory of planned behavior (TPB) was employed, based on which a theoretical model was designed to reach the authors’ aim. An online questionnaire was used to collect data. For data analysis, confirmatory factor analysis, structural equation modeling, the bootstrapping method and the Preschool Language Scale (PLS) product-indicator approach were conducted to test the proposed conceptual model.

Results show that self-identity, self-interest, self-efficacy and a growth mindset have a positive impact on green purchase intention. However, the study found no predictive effect from peer influence and warm glow. In addition, self-efficacy and green purchase intention significantly affect green purchase behavior. The study reveals that green purchase intention substantially mediates the relationship between self-interest, growth mindset, warm glow and green purchase behavior. Further, warm glow moderates the impact of peer influence, self-identity and self-efficacy on green purchase intention. This study emphasizes the critical role of dispositional factors on green purchase intention and behavior.

Few studies consider the effect of the individual self, a growth mindset, a warm glow and peer influence on green purchase intention simultaneously. In addition, the authors introduced a different version of the TPB model. Further, this research also conducted how these variables, directly and indirectly, affect green purchase behavior.

The purpose of this paper is to present an economic–statistical design (ESD) for the Bayesian X‾ control chart based on predictive distribution with two types of informative and noninformative prior distributions.

The design used in this study is based on determining the control chart of the predictive distribution and then its ESD. The new proposed cost model is presented by considering the conjugate and Jeffrey's prior distribution in calculating the expected total cycle time and expected cost per cycle, and finally, the optimal design parameters and related costs are compared with the fixed ratio sampling (FRS) mode.

Numerical results show decreases in costs in this Bayesian approach with both Jeffrey's and conjugate prior distribution compared to the FRS mode. This result shows that the Bayesian approach which is based on predictive density works better than the classical approach. Also, for the Bayesian approach, however, there is no significant difference between the results of using Jeffrey's and conjugate prior distributions. Using sensitivity analysis, the effect of cost parameters and shock model parameters and deviation from the mean on the optimal values of design parameters and related costs have been investigated and discussed.

This research adds to the body of knowledge related to quality control of process monitoring systems. This paper may be of particular interest to quality system practitioners for whom the effect of the prior distribution of parameters on the quality characteristic distribution is important.

economic statistical design (ESD) of Bayesian control charts based on predictive distribution is presented for the first time.

The purpose of this paper is to develop a double-objective economic statistical design (ESD) of (X‾) control chart under Weibull failure properties with the Linex asymmetric loss function. The authors have expressed the probability of type II error (β) as the statistical objective and the expected cost as the economic objective.

The design used in this study is based on a double-objective economic statistical design of (X‾) control chart with Weibull shock model via applying Banerjee and Rahim's model for non-uniform and uniform schemes with Linex asymmetric loss function. The results in the least average cost and β in uniform and non-uniform schemes by Linex loss function, compared with the same schemes without loss function.

Numerical results indicate that it is not possible to reduce the second type of error and costs at the same time, which means that by reducing the second type of error, the cost increases, and by reducing the cost, the second type of error increases, both of which are very important. Obtained based on the needs of the industry and which one has more priority has the right to choose. These designs define a Pareto optimal front of solutions that increase the flexibility and adaptability of the X‾ control chart in practice. When the authors use non-uniform schemes instead of uniform schemes, the average cost per unit time decreases by an average and when the authors apply loss function, the average cost per unit time increases by an average. Also, this quantity for double-objective schemes with loss function compared to without loss function schemes in cases uniform and non-uniform increases. The reason for this result is that the model underestimated the costs before using the loss function.

This research adds to the body of knowledge related to flexibility in process quality control. This article may be of interest to quality systems experts in factories where the choice between cost reduction and statistical factor reduction can affect the production process.

The cost functions for double-objective uniform and non-uniform sampling schemes with the Weibull shock model based on the Linex loss function are presented for the first time.

The goal of this study is to examine the factors (e.g. enjoyment, skills, challenge, telepresence and flow) that influence players’ purchase intention toward Dota 2 virtual in-game as well as examine the effect of flow toward purchase intention of Dota 2 through the critical mechanism (i.e. continuous intention). Notably, the analysis of the moderating role of enjoyment of buying on the relation of (a) flow and purchase intention of Dota 2 in-game, as well as (b) between flow continuous intention and finally (c) between continuous intention purchase intention of Dota 2.

The data were gained from 331 users using Google Forms and posted to respondents on social media platforms and forums such as Facebook and Reddit, as these websites have the closest reach to gamers.

The study revealed that enjoyment, skill, challenge and telepresence have a positive effect on flow. Also, the flow was significantly related to purchase intention. The continuous intention has significantly mediated the relationship between flow and purchase intention. Importantly, this study found that the moderating role of buying enjoyment increases the relationship between flow and purchase intention (H7a) and between continuous intention and purchase intention (H7c). In contrast, the moderating role of buying enjoyment on the relationship between flow and continuous intention (H7b) was not supported. Hence, this study sheds a new light on the notable Dota 2 in-game and continuous intention purchase intention of the users.

In response, this study's main research question can be highlighted on testing how enjoyment, skills, challenge, telepresence, in-game virtual items influence purchasing intention when the enjoyment of buying moderates the proposed relationship? Therefore, this study aims to examine the significant elements like enjoyment, skills, challenge telepresence toward flow, and subsequently, the effect of flow toward purchase intention of Dota 2 in-game through continuous intention as a key mechanism which is urgently needed to minimize the gap in-game virtual items literature. Significantly, this study also intends to explore the contingent role of enjoyment of buying on the relation of flow and purchase intention of Dota-2 in-game, as well as between flow and continuous intention and finally between continuous intention and purchase intention.