This study aims to analyze research trends regarding outdoor wear. For this purpose, the data-collection period was limited to January 2002–October 2022, and the collection consisted of titles of papers, academic names, abstracts, and publication years from the Research Information Sharing Service (RISS). Frequency analysis was conducted on 227 papers in total to check academic journals and annual trends, and LDA topic-modeling analysis was conducted using 20,964 tokens. Data pre-processing was performed prior to topic-modeling analysis; after that, topic-modeling analysis, core topic derivation, and visualization were performed using a Python algorithm. A total of eight topics were obtained from the comprehensive analysis: experiential marketing and lifestyle, property and evaluation of outdoor wear, design and patterns of outdoor wear, outdoor-wear purchase behavior, color, designs and materials of outdoor wear, promotional strategies for outdoor wear, purchase intention and satisfaction depending on the brand image of outdoor wear, differences in outdoor wear preferences by consumer group. The results of topic-modeling analysis revealed that the topic, which includes a study on the design and material of outdoor wear and the pattern of jackets related to the overall shape, was the highest at 30.9% of the total topics. The next highest topic was also the design and color of outdoor wear, indicating that design-related research was the main research topic in outdoor wear research. It is hoped that analyzing outdoor wear research will help comprehend the research conducted thus far and reveal future directions.

Despite both domestic and overseas markets are depressed due to the global financial crisis - the apparel industry is no exception, the market for the outdoor wears including the hiking ones has been recording a high growth rate, making the outdoor wear a high growth industry. The purpose of this study was to provide some basic data useful to our outdoor businesses to help them respond to consumers' needs in the rapidly growing outdoor markets. For silhouettes, the point was given primarily to the oblique cutting to have it follow the human body curves and thereby, look natural and slim. Another point was given to the color schemes along the cutting lines, so that an effect of optical illusion could be created to make the wears look slim making use of lines and colors. On the other hand, in consideration of the rapidly changing weather conditions during hiking, the details were designed practically by setting appropriate hip lengths, using attachable/detachable hoods as well as applying the Velcro & rubber band-type set-in sleeves for the tail edges. As discussed above, the researcher analyzed the design elements for the outdoor wears and developed some sensuous designs meeting consumers' needs to help our outdoor wear businesses to expand their target base, while awakening them of the importance of the outdoor fashion.

This study understood what effect was produced on the purchasing decision making of outdoor wear by a shopping orientation, fashion involvement and demographic characteristics offered practical suggestions as to what effect was produced on the store selection criteria, product selection criteria for purchasing decision making in purchasing outdoor wear. This research was conducted through a questionnaire survey, and 397 males in were collected for analysis. The results were as follows. First, shopping orientation group was classified into hedonic shopping orientation group and utilitarian shopping orientation group. And it was classified into high fashion involvement group and low fashion involvement group according to fashion involvement. Product selection criteria were classified into 2 factors such as intrinsic attributes and extrinsic attributes. And store selection criteria were classified into 4 factors such as store atmosphere, store environment, promotion and salesmen. Second, there was partly significant difference in product selection criteria, and store selection criteria between utilitarian shopping group and hedonic shopping group. Third, there was significant difference in product selection criteria and store selection criteria between high fashion involvement group and low fashion involvement group. Finally, there was significant difference in the and according to age, job, and income among demographic characteristics.