A Study on Impact of Environment Friendly Product Attributes on Consumer Purchase Decisions

The study aims to find out the influence of environment friendly attributes on the willingness of consumers to purchase the product. It also aims to determine the type of emotions elicited by these kinds of consumer products. It was hypothesized that buying eco products can elicit different kinds of emotions in consumers. These emotions are usually positive that cause attraction to consumers and eventually the actual purchase of the product. An exploratory pre-purchase affect survey was conducted through field and online survey to determine what shoppers feel while looking for eco products to buy. Results revealed that participants significantly experience more positive feelings/emotions than negative feelings/ emotions when buying eco-products while participants are indifferent in experiencing positive and negative feelings/emotions when buying non-eco products. This study provided information on the importance of incorporating ecological attributes to the design of consumer products. As of now, not all companies offer eco-friendly products because it is not known if consumers are willing to pay more for the “environment friendly” attribute. This study hopes to shift the paradigm of companies as it will try to establish the emotional attachment of consumers to product attributes related to the environment.

A Weighted Statistical Network Modeling Approach to Product Competition Analysis

Statistical network models have been used to study the competition among different products and how product attributes influence customer decisions. However, in existing research using network-based approaches, product competition has been viewed as binary (i.e., whether a relationship exists or not), while in reality, the competition strength may vary among products. In this paper, we model the strength of the product competition by employing a statistical network model, with an emphasis on how product attributes affect which products are considered together and which products are ultimately purchased by customers. We first demonstrate how customers’ considerations and choices can be aggregated as weighted networks. Then, we propose a weighted network modeling approach by extending the valued exponential random graph model to investigate the effects of product features and network structures on product competition relations. The approach that consists of model construction, interpretation, and validation is presented in a step-by-step procedure. Our findings suggest that the weighted network model outperforms commonly used binary network baselines in predicting product competition as well as market share. Also, traditionally when using binary network models to study product competitions and depending on the cutoff values chosen to binarize a network, the resulting estimated customer preferences can be inconsistent. Such inconsistency in interpreting customer preferences is a downside of binary network models but can be well addressed by the proposed weighted network model. Lastly, this paper is the first attempt to study customers’ purchase preferences (i.e., aggregated choice decisions) and car competition (i.e., customers’ co-consideration decisions) together using weighted directed networks.

The Hierarchization of Product Attributes

This study aims to investigate which hotels' attributes are most valued by the guests of the main markets of Porto. The guests' knowledge, preferences, and needs are crucial data that impact customer satisfaction. As a people-to-people industry, the hotel industry must consider the heterogeneity of its markets and invest in improving its services, considering the aspects they value. However, is the heterogeneity pronounced that much? Or are there any similarities between markets? Guests do not have similar satisfaction levels, so to guarantee the best experience for the most significant number of customers, these should be studied by market segments, once individual study would be impracticable. Through the comments made on the Booking.com, following the assumption that guests comment on what they value, the attributes that guests of different nationalities refer to Porto hotels have been collected. From the analysis of all the collected data, it can be concluded that all the main markets' value attributes and the fundamental differences are based on the hierarchy of these attributes.

Faktor-faktor yang mempengaruhi perpindahan merek Asus ke merek lain

This study aims to examine "Analysis of the influence of dissatisfaction, product attributes, and the need for variation, on the switching of the Asus brand ". This data research used a questionnaire with a scale of 1-5 with a sample of 96 respondents. This sampling technique uses a non probability sampling with technique purposive sampling . The data obtained were then analyzed with the SPSS . The results of this study partially (1) Dissatisfaction has a positive and significant effect on brand switching based on the value of t count > t table that is 3.575 > 1.662 with a significant 0.001 < 0.05. (2) Product attributes have a positive and significant effect on brand switching based on the value of t count > t table, namely 2.362 > 1.662 with a significant 0.002 < 0.05. (3). The need to look for variations has a positive and significant effect on brand switching based on the t count > t table, namely 6.472 > 1.662 with a significant 0.000 <0.05. (4) Simultaneously, dissatisfaction, product attributes, and the need for variation have a positive and significant effect on brand switching. Based on the calculated F value < F table that is 111.918> 3.945 with a significant 0.000 <0.005. Based on Adjusted R Square that is equal to 0.778. In this case, it means that 77.8% of the variation in the brand switching variable is explained by the variables of dissatisfaction, product attributes, and the need to seek variation. Meanwhile, the remaining 22.2% is explained by other variables outside the model

PENGARUH ATRIBUT PRODUK DAN KETIDAKPUASAN KONSUMEN TERHADAP KEPUTUSAN PERPINDAHAN MEREK MELALUI BRAND IMAGE SEBAGAI VARIABEL INTERVENIG PADA SEPEDA MOTOR MERK A KE SEPEDA MOTOR MERK B DI YOGYAKARTA

To purpose is : (1) To determine the effect of product attributes on brand image, (2) To determine the effect of dissatisfaction on brand image, (3) To determine the effect of product attributes on brand shift, (4) To determine the effect of dissatisfaction on brand shift, ( 5) To determine the effect of brand image on brand movement This type of research is quantitative research, the population in this study is 100 motorbike users A who switch to motorbikes B. The sample used is 100 motorbike users A who use motorbikes B. The sampling method used was accidental sampling with the Arikunto formula. Data collection using a questionnaire. The analysis method used is multiple regression supported by the t-test. The results of the analysis show that product attributes have a significant positive effect on brand image, consumer dissatisfaction has a significant positive effect on brand image, product attributes have a significant positive effect on brand transfer, consumer dissatisfaction has a significant positive effect on brand transfer, brand image has a significant positive effect on brand transfer, attributes The product has a significant positive effect on brand movement through brand image as an intervening variable, consumer dissatisfaction has a significant positive effect on brand movement through brand image as an intervening variable. Keywords : Product attributes, dissatisfaction, Brand shift, and brand image.

A study on Pro-environmental attitudes and product attributes of the consumer’s and their impact on purchase behavior of environmentally safe fashion product

This study is done to investigate whether the environmental attitudes and product attributes of eco-friendly products, perceived importance of a company’s environmental activities influence the consumer buying behavior of environmentally friendly fashion goods, which also includes the satisfaction of the consumers towards the eco-friendly fashion products. To conduct the study, the authors have prepared a questionnaire suitable for the study which was responded to by 400 people. In our study, the authors obtained the results that consumer’s environmental concern and their purchases of environmentally safe household items have a positive influence on the purchasing of environmentally safe fashion products by consumers. Second, the authors found that the importance of the buyer to the products eco-friendly attributes has a (+ve) influence on the buying behavior of environmentally safe fashion products. Third, the authors found that the corporate environmental activities value is not having a significant effect on the consumer’s purchase habits of environmentally safe fashion items. Finally, the authors found that consumers’ purchase behavior of environmentally safe fashion products has a huge positive influence on the satisfaction, trust of the consumers, and repurchase intention of the consumers. Where the authors have found that the trust and satisfaction of customers lead to the intention to repurchase environmentally safe fashion goods. Here the research implication was discussed.