• Title/Summary/Keyword: Product-Service Systems

Search Result 402, Processing Time 0.03 seconds

Difference between Service Design and Product Service Systems (서비스디자인과 제품서비스 시스템의 비교연구)

  • Xie Xuanna;Lee Sungpil
    • Journal of Service Research and Studies
    • /
    • v.12 no.2
    • /
    • pp.94-105
    • /
    • 2022
  • From the perspective of a post-industrial society, the main purpose of this study is to clarify the theoretical principles that distinguish service design from product service system (PSS) and to propose a new integrated design strategy. Service design is a user-centered design technique for improving or innovating existing services and solving problems in a continuous exploration and iteration process. On the other hand, PSS is a cutting-edge business approach for organizations looking to boost their competitiveness by providing integrated product and service capabilities to clients while also enhancing system operations. This paper discusses the concepts of service design and PSS, the present state of research, and design methodologies using a literature search. The distinctions between service design and PSS are examined and summarized during the design process. The ultimate content proposed in this study is to incorporate user experience into the PSS design process and propose a systematic process to meet users' needs to effectively implement the service design concept.

Product-group Recommendation based on Association Rule Mining and Collaborative Filtering in Ubiquitous Computing Environment (유비쿼터스 환경에서 연관규칙과 협업필터링을 이용한 상품그룹추천)

  • Kim, Jae-Kyeong;Oh, Hee-Young;Kwon, Oh-Byung
    • Journal of Information Technology Services
    • /
    • v.6 no.2
    • /
    • pp.113-123
    • /
    • 2007
  • In ubiquitous computing environment such as ubiquitous marketplace (u-market), there is a need of providing context-based personalization service while considering the nomadic user preference and corresponding requirements. To do so, the recommendation systems should deal with the tremendous amount of context data. Hence, the purpose of this paper is to propose a novel recommendation method which provides the products-group list of the customers in u-market based on the shopping intention and preferences. We have developed FREPIRS(FREquent Purchased Item-sets Recommendation Service), which makes recommendation listof product-group, not individual product. Collaborative filtering and apriori algorithm are adopted in FREPIRS to build product-group.

Enhancement of User Understanding and Service Value Using Online Reviews (온라인 리뷰를 활용한 사용자 이해 및 서비스 가치 증대)

  • Kim, Jin-Hwa;Byeon, Hyeon-Su;Lee, Seung-Hun
    • The Journal of Information Systems
    • /
    • v.20 no.2
    • /
    • pp.21-36
    • /
    • 2011
  • The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, forums, discussion groups, and blogs. This paper focuses on online customer reviews of products. It makes some contributions. Especially it proposes minimalism and chunking framework for analyzing and comparing consumer opinions of competing products. Users are able to clearly see the strengths and weaknesses of each product in the minds of consumers in terms of various product features. This comparison is useful to both potential customers and product manufacturers. For a product manufacturer, the comparison enables it to easily gather marketing intelligence and product benchmarking information. In this paper, we only focus on mining opinion/product features that the reviewers have commented on. Five types of online review presentations are presented to mine such features. Our experimental results show that these techniques are useful to identify customers' opinions and trends.

A Study on Product-Customer Group Formation Using Neural Networks for CRM (고객관계관리에서 신경망을 이용한 제품-고객군의 형성에 관한 연구)

  • Hwang, In-Soo
    • Asia pacific journal of information systems
    • /
    • v.11 no.4
    • /
    • pp.27-41
    • /
    • 2001
  • CRM is at the core of any customer-focused business strategy and includes the people, processes, and technology questions associated with marketing, sales, and service. In today's hyper-competitive world, organizations looking to implement successful CRM strategies need to focus on a common view of the customer using integrated information systems and contact center implementations that allow the customer to communicate via any desired communication channel. A CRM solution contains a number of sophisticated tools that enable to extract detailed information about customers. This information can be used to gain a better understanding of customers. From this we can determine trends, and so refine business toward customers' needs and target new products to particular customer groups. This paper presents an approach for forming the product-customer groups using neural networks for customer relationship management. The Carpenter-Grossberg's neural network, which has been used for manufacturing cell formation in group technology, is modified and applied for product-customer group formation. As a result of numerical experiments, it is also useful for more complex problems in which customers have different preferences for each product.

  • PDF

A Study of Evaluation for Service Quality of Korean Restaurant Customers - The Case of Pork-belly Specialty Restaurant- (한식당 이용고객의 서비스품질 평가에 관한 연구 - 삼겹살 전문점을 중심으로 -)

  • Cho, Yong-Bum;Park, Jong-Hun
    • Journal of the Korean Society of Food Culture
    • /
    • v.20 no.5
    • /
    • pp.538-547
    • /
    • 2005
  • Customer needs in food service industry is not only demanding high quality product(food), but also high quality service. Therefore, how to provide high quality service based on customers expectation, and how to design the service systems by food service industry or restaurants are important task. This study is service quality of Korean restaurant customers, it aims analyzes factors influences service quality of food service industry based on the perception of pork-belly specialty restaurants customers. It is expected that there is significant difference according to gender concerning level of satisfaction in service quality of food service industry as a result of analyzing the level of satisfaction for frequency of eating out relatively to the purpose of eating out, and researching the level of satisfaction for service quality of food service industry after visiting the restaurant. Based on such results, solutions that can cope with social, cultural and economical environment of food service industry are suggested. Selection of food service business, samples, and purpose of eating out, which are limits of this study, needs to be studied continuously in the future after diversifying and segmentation.

An Empirical Investigation into the Factors Influencing Shopping Mall Selection Decisions in the Cyber Shopping Environment (사이버 쇼핑 환경에서 소비자의 쇼핑몰 선택에 영향을 미치는 요인에 관한 연구)

  • Kim, Jong-Uk
    • The Journal of Information Systems
    • /
    • v.14 no.1
    • /
    • pp.171-195
    • /
    • 2005
  • The current study investigates major factors which influence the consumer's selection of internet shopping malls. Based on the technology acceptance model(TAM)(Davis, 1989) and trust theory(McKnight & Chervany, 2001), consumer selection factors from marketing research(Burke, 1997;Dodds et al, 2001), perceived usefulness, perceived ease of use, trust, service quality, and product price were hypothesized as to affect the consumer's decision to choose one's specific internet shopping malls. The study developed a research model to explain the shopping mall selection and collected the survey responses from 312 internet shopping mall users. The results of the current research indicate that all the research variables employed in the study, perceived usefulness, perceived ease of use, trust, service quality, and product price, are found to significantly influence the consumer's shopping mall selection decision. Among the influencing factors, price, service quality, and trust showed a greater effect on the shopping mall selection than usefulness and ease of use. This result implies that purchase-related variables such as price and service quality may be more critical to attracting customers and thereby raising the sales volume of the shopping mall, than the web site's usefulness and ease of use.

  • PDF

Product Life Cycle Based Service Demand Forecasting Using Self-Organizing Map (SOM을 이용한 제품수명주기 기반 서비스 수요예측)

  • Chang, Nam-Sik
    • Journal of Intelligence and Information Systems
    • /
    • v.15 no.4
    • /
    • pp.37-51
    • /
    • 2009
  • One of the critical issues in the management of manufacturing companies is the efficient process of planning and operating service resources such as human, parts, and facilities, and it begins with the accurate service demand forecasting. In this research, service and sales data from the LCD monitor manufacturer is considered for an empirical study on Product Life Cycle (PLC) based service demand forecasting. The proposed PLC forecasting approach consists of four steps : understanding the basic statistics of data, clustering models using a self-organizing map, developing respective forecasting models for each segment, comparing the accuracy performance. Empirical experiments show that the PLC approach outperformed the traditional approaches in terms of root mean square error and mean absolute percentage error.

  • PDF

Application of Contradiction Analysis for Determination of Product Platform in Mass Customization and Case Study (모순분석을 이용한 대량맞춤에서의 제품 플랫폼 결정 및 적용사례)

  • Kim, Kyoung Hee;Park, Joon Young
    • Journal of Korean Institute of Industrial Engineers
    • /
    • v.33 no.2
    • /
    • pp.174-182
    • /
    • 2007
  • Mass customization meets various needs of customers as well as produces various products and service in low cost like mass production. However, low cost and product diversity have conflicting concepts. Therefore, in order to solve this problem, we need standardization methods. In this paper, we suggest a method for determining the product platform which is a set of common parts in a product family. To achieve the method, we used the Contradiction Analysis of TRIZ (Theory of Inventive Problem Solving), Using this approach, we found a model that obtains various products within limited resources and conditions. Also, we suggest another method that increases the flexibility of our method by Design Structure Matrix.

Human Search Patterns on Product Comparison Service (제품 비교 웹서비스의 고객 검색 패턴에 대한 연구)

  • Lee, Hong-Hee;Lee, Choog-Kwon;Yoo, Sang-Jin
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.14 no.3
    • /
    • pp.98-105
    • /
    • 2009
  • It is important for firms to help customers find the products or information they need in order to increase sales and promote return visits to their websites. Hence, the presentation of product information is very important in e-commerce websites. In this research, we study how disposition styles can influence browsing patterns. The test results show that people are inclined to use feature information paths in the vertical disposition style and product information paths in the horizontal disposition style. With vertical disposition, users are more likely to follow feature information paths which may help them focus on comparisons across products.

A Conceptual Framework for Determination of Appropriate Business Model in e-Learning Industry in Iran

  • Salehinejad, Abbas;Samizadeh, Reza
    • Asian Journal of Business Environment
    • /
    • v.7 no.4
    • /
    • pp.17-25
    • /
    • 2017
  • Purpose - The purpose of this study is to present a framework for determining the most appropriate business model for e-learning. Research design, data, and methodology - The Electronics Branch of Azad University has been elected as a case study in this research. This study conducted using a descriptive method. The information was obtained using interviews with experts including managers, faculty and students at the Electronics Branch of Azad University. Results - Three service-product system (product oriented system, use an oriented and result oriented system) approaches determined a framework for the formation of a portfolio. This portfolio is including three types of e-learning business models. Examining the relevant characteristics, correspondence of behaviorism learning theory with a product-oriented approach, correspondence of cognitivism theory with a user-oriented approach and in finally match correspondence of constructivist learning theory with a results-oriented approach which is evident. Conclusions - After reviewing the literature on the fields of e-learning, business model and product - service systems, we have achieved three types of e-learning business models. Then the variables in any of the business models were defined by using business model canvas tool and thus a portfolio consisting of three types of e-learning business model canvas was obtained.