Distribution and logistics industries contribute some of the biggest GDP(gross domestic product) in South Korea and the number of related companies are quarter of the total number of industries in the country. The number of retail tech companies are quickly increased due to the acceleration of the online and untact shopping trend. Furthermore, major distribution and logistics companies try to achieve integrated data management with the fulfillment process. In contrast, small and medium distribution companies still lack of the capacity and ability to develop digital innovation and smartization. Therefore, in this paper, a deep learning-based demand forecasting & recommendation model is proposed to improve business competitiveness. The proposed model is developed based on real sales transaction data to predict future demand for each product. The proposed model consists of six deep learning models, which are MLP(multi-layers perception), CNN(convolution neural network), RNN(recurrent neural network), LSTM(long short term memory), Conv1D-BiLSTM(convolution-long short term memory) for demand forecasting and collaborative filtering for the recommendation. Each model provides the best prediction result for each product and recommendation model can recommend best sales product among companies own sales list as well as competitor’s item list. The proposed demand forecasting model is expected to improve the competitiveness of the small and medium-sized distribution and logistics industry.

Improvisation is an important firm competence in product innovation as firms increasingly face inherent uncertainty in new product development (NPD) process and frequent jolts in the external environment. While there is some empirical and conceptual work on the value of improvisation for several new product outcomes, there is lack of empirical research on the antecedents of improvisation in innovation studies. We attempt to address this gap by studying the role of team variation and team convergence traits in the occurrence of improvisation in a sample of 118 NPD teams from manufacturing firms.

The purpose of this paper is to understand how customer relationship termination (i.e., preparation and process), alone or in combination with customer involvement, contributes to the new product development outcome. While termination preparation has a synergistic effect with customer involvement, the termination process has a trade-off relationship with customer involvement.

빠르게 변화하는 해외 시장 환경 및 소비자 니즈의 변화에 발맞춰, 기업의 혁신 전략의 중요성이 강조되고 있음에도 불구하고, 경쟁전략과 신제품개발속의 관계에 관한 연구가 많이 이루어지지 않 은 실정이다. 특히, 대기업에 비해 유무형 자원의 부족에 한계를 가지고 있는 중소기업에게 있어, 해외 시장 환경의 변화에 대처하는 경쟁전략의 선택은 중요한 의사결정 요소이며, 이러한 경쟁전략 은 신제품개발속도에 영향을 미치는 주요한 전략적 요인으로 작용한다. 이에 본 연구는, 차별화전 략과 비용우위전략이 신제품개발속도에 미치는 영향을 알아보고, 시장역동성이 이러한 관계에 어 떠한 조절효과를 미치는지 살펴보고자 한다. 이를 위해 한국 중소수출업체를 대상으로 설문을 진행 하였으며, 차별화전략과 비용우위전략이 신제품개발속도에 긍정적인 영향을 미치는 것을 확인하였 다. 나아가, 시장역동성이 높을수록, 차별화전략이 신제품개발속도에 미치는 긍정적인 영향은 커지 지만, 비용우위전략이 신제품개발속도에 미치는 긍정적인 영향은 약해지는 것을 확인하였다. 본 연 구는, 경쟁전략이 신제품개발속도에 미치는 영향을 제안하고 검증하였으며, 시장이 빠르게 변화할 경우, 경쟁전략의 긍정적인 효과가 달라질 수 있음을 확인하였다는 점에서 학문적 및 실무적 시사 점이 있을 것으로 기대된다.

본 연구는 코로나 19로 인해 불안, 우울 등의 심리적 어려움을 겪는 사람들이 많아지면서 사회 구성원 간의 갈등을 해결하려는 방안의 하나 로 ‘관광’을 치유의 수단으로 활용하여 ‘치유관광상품’을 개발하는 것을 목적으로 한다. 그 결과, 첫째, 규칙적인 둘레길 산책 프로그램이나 도보 여행 관련 상품 개발, 둘째, 스트레스 해소를 위한 야외 관광 활동 관련 상품 개발, 셋째, 친구, 친지, 가족과 동행하는 관광상품 개발, 넷째, 하 던 일과 생각을 잠시 멈추는 등의 넋 놓기 관광상품 개발 등을 제시하였 다. 이는 코로나 19 장기화에 따른 우울증 ‘코로나 블루(Corona Blue)’ 가 일상생활의 어려움을 넘어 분노까지 느끼는 ‘코로나 레드(Corona Red)’를 호소하는 사람이 많아지면서 위험사회가 되어가고 있다는 관점 에서 이를 극복하기 위한 정책 대응방안을 요구받는 시점에서 제시한 것 이다. 본 연구는 전 국민적 심리 상담이 필요한 시점에서 관광을 기반으 로 치유하는 ‘치유관광상품’ 개발이 갈수록 위험사회로 치닫고 있는 우리 사회의 문제점을 조금이나마 해결할 수 있기를 바란다.

This study aims to develop the designs and patterns of yoga tops that are better adjusted to suit females in their 30s and 40s. After conducting a comparative analysis of three different popular yoga garments, one yoga top currently on the market was selected. Subsequently, a fit evaluation was conducted on Trail 1-garment α, which was developed body analysis performed based on selected yoga top C, followed by the production of the Trial 2 garment after making adjustments according to the comparative observation results. Based on these results, garment C with the longest top length was evaluated as the best. The results of the evaluation of appearance and fit conducted of Trial 1-garment α compared to those of C showed that Trial 1-garment α was superior in both evaluations. Trial 2-garment β was produced after making improvements on Trial 1-garment α and then placed under identical comparative evaluation condition as Trial 1-garment α. Results showed a significant improvement compared to Trial 1-garment α, and the Trial 2 garment with an additional arm pattern was shown to be superior in shoulder strap width stability, shoulder strap pressure, chest stability, degree of waist pressure, waist comfort, general fitting, and supportiveness.

The purpose of this study was to explore the marketability by developing a fresh HMR product for improving hyperlipidemia and dieting for elderly chronic disease patients and young people pursuing healthy beauty. The diet menu increased the ratio of fresh vegetables and mushrooms, and chicken breast and cheese were used as protein sources. By using whole grains, the supply of vitamins and minerals was strengthened while minimizing calories. Regarding the recipe, the diet menu was mainly prepared in the form of salads, risotto, and pasta. In the hyperlipidemia improvement menu, the proportion of fresh vegetables was increased, and as protein sources, pork shank, tofu, seafood, etc. with minimal fat were used. As a carbohydrate source, whole grains were mainly used to minimize calories while strengthening the supply of vitamins and minerals. In the recipe, it was prepared in the form of steamed or bibim-myeon, and it was also produced in a form such as paella. As a result, the developed menu was analyzed as low-calorie and evenly comprised of essential nutrients, which can satisfy palatability and nutrition.

AI가 시장의 패러다임을 바꾸는 새로운 혁신 기술로 주목받고 있다. 기업은 AI 의 기술적 이점이 잘 반영되면서 동시에 시장의 수요를 충족하는 방법을 적용하여 신제품을 개발해야 한다. 하지만 업계에는 이러한 요건을 충족하는 방법론이 부재하다 보니 기업들은 기존 제품개발 방법론을 이용해 AI 기반 제품개발을 추진하고 있다. 이로 인해 AI의 기술적 이점이 충분히 반영되지 못하거나 AI의 기술적 잠재성이 시장 가치로 연결되지 못하게 된다. 이러한 한계를 극복하기 위해 이 연구는 AI 기반의 신제품을 개발하기 위한 새로운 방법론을 제시한다. AI 혁신이 기존 방식과 다른 차별적 속성을 확인하고, 이러한 속성이 반영된 제품 설계 프로세스와 방법론을 제시한다. 이 연구는 AI 제품개발이 양손잡이 접근(Ambidexterity approach)을 지향해야 함을 강조하며, 테크놀로지 푸시(Technology push) 기반의 아이디어 생성, 마켓 풀(Market pull) 기반의 소비자 요구조건 분석, 제품 설계 구체화 등을 포함하는 AI 기반 제품의 설계(Design) 프로세스 및 구체적인 개발 방법을 제안했다. 이 방법론의 현 실 적용 가능성을 검증하기 위해 사례연구를 실시, AI 기반의 차량용 인포테인먼트 시스템 개발 전략을 도출한다. 기술적 가능성에 기반하여 13개의 혁신 아이디어를 생성했고, 카노 (KANO) 분석과 TOPSIS의 결합에 의한 소비자 요구조건 분석을 통해 총 6개의 신제품 개 발 전략을 도출했다. 이 연구제서 제안하는 방법론은 기업이 AI 기반의 혁신제품을 통해 신 시장을 개척하거나 기존 제품의 고도화를 통해 시장 확장을 펼치는 데 유용하게 활용될 수 있다.

This study analyzed consumer needs for the development of elderly-friendly HMR products in China. In developing the products, items needed to be improved, types and packages of the necessary products, additional improvements and food preferences were investigated. According to the demographic characteristics of elderly Chinese consumers, these was analyzed as well. A survey was conducted on a total of 370 elderly people, and data analysis was performed using SPSS 18.0 program. Items related to product quality safety, such as “marks of origin by ingredient”, “rich nutrients”, “expansion of letter size of packaging”, “rich nutrients” and “clear manufacturing date and expiration date”, were required to develop HMR products. The types of products that should be developed were porridge and noodles, and the packaging types that should be developed were eco-friendly packaging and recycled packaging. In addition, “low-calorie HMR”, “development of various seasonings”, “use of eco-friendly food ingredients” and “HMR to digest easily” should be improved. The demand for product improvement and food preference showed significant differences according to the degree of education, monthly income and oral health. The results were intended to prepare basic data for setting the direction when developing elderlyfriendly HMR.

The nature of NPD is conducive to SMEs improvising at all stages of the process. This has the potential to create new knowledge, which, if retained and harnessed, can then be applied at higher strategic levels within the firm. This paper examines this phenomenon, through a preliminary qualitative study.

The concept of co-creation with consumers has been extensively studied in the literature documented in innovation management and marketing literatures. In this study, we contribute to the literature threefold. First, we develop a model to investigate how co-creation with fans enhance purchase intent and engagement of other customers. Second, we test the model using the data collected from consumers on four different product categories including beer, car, cosmetics and travel. By doing so, we examine the differences between product vs. service as well as different product categories. Third, we will compare the results with that of ordinary consumers to check if there are any differences in the case of co-creating with fans. Most of the extant studies have found a positive effect of co-creation on the outcome evaluation. However, engaging other consumers by co-creation with fans has not been studied. For bridging this research gap, we developed a conceptual model to investigate the antecedents and consequences of co-creation with fans. The hypotheses are as follows. H1: Product class involvement and domain specific knowledge affect perception on co-creation positively. H2: Perception on co-creation affects purchase intent and word-of-mouth positively. H3: The relationships of H1 and H2 differs depending on product categories. H4: The relationships of H1 and H2 differs if companies work with ordinary customers or fans. We tested the hypotheses with the data collected from consumers an online questionnaire survey. Data collection was conducted through a market research agency in 2016 for beer and cars, and in 2019 for cosmetics and travel. The data was collected from 240 consumers in their 20s, 30s, and 40s in Japan. Each segment has same number of males and females, 40 people each for six segments. The findings shed a new light on the co-creation literature and help companies to design better co-creation with fans in different product and service categories.

The purpose of this study is to provide the priority of the front-loading factors in the design stage of the automotive parts development process in order to efficiently and effectively respond to the demands of the car maker (customer). Front-loading is defined as a strategy in order to improve development performance by shifting the identification and solving of design problems to earlier phases of a product development process. Two approaches of the front-loading are project-to-project knowledge transfer and rapid problem solving. For the study, a survey was conducted on the R&D department in the automobile parts company and analyzed by AHP (Analytic Hierarchy Process) method. The result of the survey shows the cost savings is the highest weight in terms of front-loading effect and in terms of front-loading factors, it gives priorities as “the problems of past project” first, “Design Review” second, “CAE (Computer Aided Engineering)” third, “FMEA (Failure Mode and Effects Analysis)” fourth, “benchmarking” and SR (Sourcing of Requirements). The results of the study will be helpful to provide practical value for improving product design of component development.