This paper presents an empirical investigation on the effects of brand experience, trust, perception image and brand satisfaction on creating customer loyalty on Iranian laptop market. The proposed study of this paper prepares a questionnaire in Likert scale and distributes it among some university students in province of Qazvin, Iran. The implementation of structural equation modeling for the proposed study of this paper has been accomplished based on LISREL software. Cronbach alphas for experience, satisfaction, loyalty, trust and perception from brand are calculated as 0.71, 0.83, 0.76, 0.69 and 0.86, respectively and they validate the overall questionnaire. The results of the survey on testing various hypotheses indicate that brand experience has positive and meaningful relationship with brand satisfaction, trust, perception image and loyalty. In addition, satisfaction, perception image and trust have positive meaningful with brand loyalty.

Green product management plays an important role in today & apos; s economy and people are increasing becoming more interested in green products. In this paper, we present an empirical study to measure the impact of customer perception, quality, environment concern and satisfaction on green customer loyalty. The study proposes two hypotheses, where the first hypothesis studies whether the quality of green product has direct impact on customer satisfaction and the second hypothesis examines whether quality of green product has direct impact on customer loyalty. The population of this paper includes all people who use paper-based drinking glass, napkin and packaging products and live in city of Tehran, Iran. Since not all people are involved in all parts of the city in such product, we have decided to select only those who are involved in using these kinds of products including hospitals, universities, etc. The sampling technique has distributed 300 questionnaires and gathered 283 good quality ones for analysis. The questionnaire consists of 19 questions in five different perspectives. The proposed study uses sequential equation modeling and the results have confirmed both hypotheses.