In pursuit of competitiveness, brands are critical as they represent valuable intangible assets that contribute to creating and sustaining competitive advantages. The emerging idea of brand competitiveness, defined as a brand’s outperformance of competing brands, represents a promising solution to the problem that existing branding constructs fail to incorporate competition as a relative concept. This article addresses three gaps in the current literature on brand competitiveness. It discusses conceptualizations of the construct, arguing for a customer-based perspective and introducing customer-based brand competitiveness (CBBC). It then explores the construct’s nomological network and suggests CBBC as a mediator of the strategic orientations–performance relationship, thus proposing customer-related and firm-related performance as consequences and several strategic orientations as antecedents. It finally reports on the development of a new measurement scale for brand competitiveness.

Despite the importance of technology-based innovation and customer participation for both practitioners and academics, the impact of different customer participation types in new product innovation has rarely been addressed. Since consumers' positive assessment of new technologies leads to positive outcomes in the market, consumer evaluation of new technologies is important. Thus, examining the consumer perception of technology-based innovation including the different levels of customer participation is meaningful to new theoretical and practical insights.

This study aimed to identify sub-dimensions of the authenticity and fictionality of a brand story and analyze the effects of authenticity and fictionality on customer-based brand equity. Data were obtained from a group of 213 males and females in their 20s and 30s living in Korea using an online survey institute. Results showed that the authenticity and fictionality of a brand story are composed of reality, excitement, exaggeration, fictional symbolism, influence, sincerity, relativeness, mysteriousness, and unreality. Of these, sincerity, excitement, reality, influence, and mysteriousness had significant effects on brand imagery; sincerity particularly exerted a relatively more substantial influence on brand imagery. Also, influence, mysteriousness, excitement, and relativeness impacted performance positively, and exaggeration impacted performance negatively. This indicated that a well-constructed brand story with authenticity and fictionality had a positive impact on the brand image. Excitement, mysteriousness, reality, relativeness, sincerity, and influence of a brand story had significant effects on brand judgement. In contrast, only excitement and influence positively impacted brand feelings, and unreality had a negative impact on feelings. The exciting and influential brand story impacted brand attitude. Also, brand image and attitude positively impacted sharing and purchase intention, while brand performance did not affect recommendation intention. These findings contribute to identifying a brand story’s attributes, authenticity, and fictionality and provide insights for marketers on creating brand stories to increase brand image and attitude and to build customer-based brand equity.

In service encounter, value creation comes not only from customer-to- service provider interaction but also from customer-to-customer interaction (CCI). A number of studies have demonstrated that the CCI plays an important role in perceived service quality, value creation, and customer satisfaction. Although prior researcher have explored the effect of CCI, they have focused more on traditional service encounter which service employee is present than on technology-based self-service (TBSS) encounter without employee presence. TBSS is an activity or benefit based on hard technologies that service providers offer so that customers can perform the service, or parts of the service by themselves. Focal customers can be influenced directly or indirectly by other customers in service encounter. To examine the effect of ICCI on service quality in TBSS, we conducted two studies. Study 1 focus on the impact of ICCI on service quality and the mediation of service experience. Study 2 explore whether the service failure moderates the relationship between ICCI and service experience. In experiment 1, a single factor (other customers: presence VS. absence) experiment was conducted with two different level of ICCI. Results show that compared with other customer absences when other customer presences focal customer perceived service quality is lower. That is, ICCI has a significant main effect on service quality. In addition, Experiment 1 provided evidence that a partial mediating factor underlying the relationship between ICCI and service quality was customers’s emotion. In experiment 2, A 2 (other customers: presence VS. absence) × 2 (service failure: yes VS. no) between subject design was conducted. An ANOVA on negative emotion yielded a significant ICCI × service failure interaction. The participants in the other customer presence condition experienced service was more discomfortable when the service was failed than when the service was succeeded. However, this effect was strengthened for the other customer absence condition. With advances in information technology, there has been a proliferation of self-service technologies across the services sector in the past decade. The quality and experience of technology-based self-service are very much worth the attention of service providers. Our study reveals the effect of ICCI on service quality and the mechanism by the mediation of negavtive emotion and the boundary condition of the link between ICCI and negative emotion. These results suggest that service providers should avoid ICCI, such as providing closed ATM, kiosk, and so on. In addition, the firms should try their best to guide customer to ensure the production and delivery of self-service to reduce service failures.

With the development of e-commerce, firms have now a greater interest than before in investing in intangible assets, especially their e-reputation. The literature review shows that studies in the field of e-reputation are still limited. Furthermore, existing studies (e.g. Walsh et al., 2009) tend to focus on antecedents and consequences of reputation that are associated with the offline context, but do not analyze variables related to e-consumer behavior. The objectives of this paper are hence twofold: (1) examining the dimensions of the customer-based online reputation; (2) introducing a causal model that associates online reputation with some key antecedents and consequences. Our results show that a high level of trust positively impacts the online reputation. The same is true for heritage, but with less impact, maybe because the online commerce is relatively new, and e-commerce websites do not have a heritage yet compared to well-established brick and mortar companies. In terms of consequences, a favorable reputation increases the customer commitment toward the website, meaning that online customers will have a higher desire to maintain this valued relationship. In addition, the positive influence on WOM is very important especially in our digital era where brand choices and personal influences are increasingly taking place online. As for the measure of e-reputation, our results confirm that it can be assessed through 8 specific factors: Customer orientation, Reliable Delivery, Innovativity and Singularity, High Standard Offerings, Price, Social and Environmental Responsibility, Good employer, and Financially Strong Company. From an operational point of view, the customer-based e-reputation scale could be used repeatedly as a barometer enabling to periodically asses the e-reputation of diverse online companies. Our results also point out some potential managerial implications as far as improving customer-based online reputation is concerned. From the perspective of antecedents, increasing trust should be the choice in order to improve online reputation. With regards to the consequences, online reputation is a significant indicator of customer commitment to the website and spreading a positive word-of-mouth. Hence, and in order to have a positive e-WOM, managers should focus on enhancing their online reputation.

The concept of performance-based contracting (PBC) has received an increasing attention in both academic research and business practice over the last decade. Typically, in a PBC an industrial supplier is paid based on the outcome created with an investment good. This payment covers the actual usage as well as all related maintenance and repair efforts for the resource (Böhm, Backhaus, Eggert, & Cummins, 2016). Although the concept of PBC is not new, research on this topic is still on a preliminary level (Essig, Glas, Selviaridis & Roehrich 2016). As the customer orientation in service-oriented sales processes is crucial (Haas, Snehota, & Corsaro 2012; Terho, Haas, Eggert, & Ulaga 2012), our study explores customers’ requirements and motivational patterns within a PBC sales process. We report on data obtained in laddering interviews with 31 PBC-experienced customers in Europe from three industries (industrial air supply industry, gas supply industry, filling and packaging industry). Results from a means-end-chain analysis indicate that PBC customers have a higher sense of duty (e.g., by analyzing suppliers’ competence for operating a PBC), a distinct need for security (e.g., by requiring positive emotions for purchase decision), a comprehensive sense of responsibility (e.g., in terms of the long-term contractual obligation) and perfectionist values for purchase decisions (e.g., by striving for an optimal technical and contractual PBC design). Since these aspects address the PBC sales process, our study contributes by generating empirical evidences for value-based selling techniques and by generating management implications for a customer-oriented selling of PBC.

This study applies optimization-based algorithm to develop combination classification methods. We propose a genetic algorithm-based combination classification method of multiple decision trees to improve predictive accuracy, optimize classification rules, and interpret classification results. The basic algorithm for decision tree has been constructed in a top-down recursive divide-and-conquer manner. Based on different split measures (attribute selection measures), different decision tree algorithms can be produced, and then multiple decision trees can be formed. We proposed the parallel combination model of multiple decision trees. On top of the combination model, multiple decision trees are parallel combined. Each decision tree produces its own classification rules according to training samples from which one can present the classification result using probability distribution of target class label. At the bottom, the classification result of each decision tree serves as the input for combination algorithm in producing classification result and rules for the combination model. Combination algorithm adopts weighted summation of the outputs of probability measurement levels from individual decision trees, while genetic algorithm optimizes connection weight matrix. Finally the target class label with the largest probability output value is selected as the decision result for combination classification methods. The proposed method is applied to the issues of customer credit rating assessment and customer response behaviour pattern recognition in CRM. From the simulation results it is concluded that the proposed method has higher predictive accuracy than single decision tree. Moreover, it retains good interpretability and optimizes classification rules.

Recently, service quality must reflect several demands of customers who show rapid and various changes so as to be compared with the past. So, objective and rapid measuring methods for service quality are necessary. For them, first of all, service company must calculate their standard of service quality accurately by measuring service quality exactly. Kano classified the degree of influence that is the degree of correspondence of the quality attributes of products and services to the subjective satisfaction of customers. As a result, the types of qualities are classified as attractive, must be, one dimensional, and indifference attributes. They have been widely used quality attributes in various industrial fields up to now. However, Kano model has a limit that it ignores the characters of the next frequent numbers even though there are not much gap comparing to the most frequent number in the questionnaire answers. The limit is attributed to the character of Kano model that the most frequent number is accepted as the only quality character. Timko calculated the customer satisfaction coefficient by using Kano’s method and studied the differences in quality character by classifying the quality characteristics in a graphical way through the relationship between the satisfaction and the dissatisfaction coefficient. In this study, we used the quality level determination method of the 7-point Likert scale, which takes the weight into account, to complement the deficiencies of the existing Kano model. We also developed and applied a Potential Satisfaction Level (P) and Potential Customer Demand Improvement (PCDI) Index to present a new approach to the determination of service quality attributes. To measure the level of potential service satisfaction and to understand the degree of improvement, we collected specimens of 51 participants who has been trained in the National Strategy Business Training Program, which has been managed by government agent, and analyzed the results.1)

Recently, service quality must reflect several demands of customers who show rapid and various changes so as to be compared with the past. So, objective and rapid methods for them are necessary more. For them, first of all, service company must calculate their standard of service quality accurately by measuring service quality exactly. To measure service quality accurately, this researcher collected and analyzed data by survey for customers who are customers of logistics services, grasped potential satisfaction standard(P) by 5 point Likert scale and one survey for accurate classification of quality attributes through weighted customer satisfaction coefficient changing quality attributes by developing the study on Kano model and Timko's customer satisfaction coefficient, and suggested Potential Customer Satisfaction Improvement index(PCSI) for examining the improvement of customer satisfaction so as to utilize them as an index of differentiated and concrete measurement of service quality.

Recent research has shown that many companies in the fashion industry are increasingly weaving close relationships with the art world, to appropriate art values and meanings to be associated with their own products and brands (Hagdtvedt & Patrick, 2008a; 2008b). Businesses related to the fashion luxury sector have been especially prone to using such strategies to transform their products into true artworks to address the issue of commodification resulting from high production volumes (Dion and Arnoult, 2011; Riot, Chameret & Rigaud, 2013). Over the past two decades, the luxury market has undergone huge structural changes through mergers and acquisitions that have transformed an industry made up of small, family businesses into major financial conglomerates and brand owners (Roux & Floch, 1996; Crane 2012). Secondly, globalization and openness to new fast-growing markets such as Asia, have led these luxury conglomerates to increase sales volumes, failing in one of the basic characteristics of such goods: rarity. But if the real rarity of luxury products is a promise that companies can no longer guarantee their own consumers, the elitism of these products can be ensured through an artificial rarity. Jean-Noël Kapferer used the neologism artification recently introduced by French sociologists Nathalie Heinich and Roberta Shapiro and applied it to the analysis of luxury goods (Kapferer, 2012; 2014; Heinich and Shapiro, 2012; Shapiro and Heinich, 2012). He stressed that a strategy based on art implemented by luxury companies is useful mainly to support the perception of rarity by the final consumer. Artification is based on the notion that art –related objects or persons are associated with positive values. Enhancing a corporate image in the consumer’s mind means building positive ties to the brand that will initiate a form of benevolence towards the brand, providing the legitimization of corporate actions and, in some cases, resulting in the purchase of goods and services produced and distributed by the company (Keller, 1993; Aaker, 1996; Aaker & Joachimsthaler, 2000; Keller, 2003). We decided to analyse the effect of Artification on brand value by focusing on the four dimensions of Awareness, Image, Quality and Loyalty by using the same CbBE ( Customer-based Brand Equity) structure previous authors tested on country of origin effect on consumers, based on the main hypotheses further explained (Pappu, Quester & Cooksey, 2006). The first hypothesis relates to the dimension of Awareness and aims to test the level of brand recognition in final consumers when the logo is modified by an artist. • H1 – Consumers’ awareness remains strong when the brand is ‘artified’. We analyze then the Image, as the second dimension of CbBE. Due to the complexity of this dimension, we posited two hypotheses connected to it: • H2a – Consumers’ free associations to the brand are connected to the artworld when the brand is ‘artified’ (e.g. consumers indicate words as art, contemporary art or the name of the artist). • H2b – Consumers’ evaluation of the brand image points to stronger positive associations when the brand is ‘artified’ The last two hypotheses we mention are connected to the dimensions of Quality and Loyalty: • H3 – Consumers’ evaluation of Quality increases when the brand is ‘artified’.  H4 – Consumers’ Loyalty to the brand increases when the brand is ‘artified’. • The analysis was conducted through a between-subjects randomized experiment and manipulated art presence (with art versus without art). Starting from the same panel, two groups were created: one including the treatment (visual arts) and one including no treatment at all. Furthermore, we limited ourselves in this experiment to images of products and pattern created by Louis Vuitton that are actually on the market, associating them randomly to the research units in order to obtain two statistically consistent groups subjected to the different treatment (with art or without art)4. The two groups were labelled ‘artified’ group and control group, the first grouping the respondents to the questionnaire containing images of Louis Vuitton Logo, pattern and product modified by art collaboration with Yayoi Kusama; and the second grouping the respondents to the questionnaire containing images of Louis Vuitton Logo, pattern and product in its standard design. The questionnaire was distributed between the months of May and June 2015 via Qualtrics survey software. It was divided into four distinct blocks: the first concerned the presentation of the survey, the declaration of authorization signed by the participants and the demographic information; the second and the third blocks of questions were identical, with the same series of questions but based on different images used. There were 880 respondents, 825 of whom correctly filled the questionnaire we submitted to them. The control group was made of 413 respondents, 73.13 % of whom were female and 26.87 % male. The ‘artified’ group was made of 71.60 % female and 28.40 % male. We analyzed the four dimensions of Awareness, Image, Quality and Loyalty individually and in a comparative manner between the control and ‘artified’ groups. In the CbBE model, dimensions are analyzed individually since Awareness and brand Image measures are not comparable because they are collected through different measure methods, respectively through multiple choice and open-ended questions. Such dimensions as Image, Quality and Loyalty which were raised through Likert scales were then subjected to mono multivariate statistical analysis. The main results are shown in table 1. By reading the results for CbBE, Hypothesis H1 [Consumers’ awareness remain strong when the brand is ‘artified’] has been confirmed. The aided brand awareness shows no important differences between the two groups, so visual artists may modify logos or the appearance of luxury products without the fear of compromising brand awareness in the final consumers. Hypothesis H2a [Consumers’ free associations to the brand are connected to the arts when the brand is ‘artified’ (e.g. the word art, contemporary art or the name of the artist)] was not confirmed. Hypothesis H2b was partially confirmed as Generic Associations and Brand Personality were impacted by the use of the visual arts, while Organizational Associations were not. Brand loyalty and Perceived Quality were not impacted by the Visual Arts either, so Hypothesis H3 and H4 were not confirmed. As a main result for CbBE analysis, the Visual Arts have an impact on Customer-based Brand Equity, limited to Brand Image dimensions. The fact that Brand Image is one of the most complex dimensions of brand value opens the way to the development of future analysis and research in the visual arts as external source for brand equity, especially for Brand Personality. The main results of our research show that an artification effect is visible especially at the level of brand image and brand personality, two complex and valuable components of Brand Value from a consumer perspective. This opens to further in-depth analysis of these two components for future research. Large luxury groups (such as Cartier and Prada) have long used an art-based strategy to increase the value of their products, avoiding the risk of a loss of prestige perceived by the final consumer who would no longer recognize the exclusivity of a product that seems to be increasingly more industrial than handmade. Art can therefore contribute to alter and rework the image and market position of a specific brand or an entire product line, ensuring the transition from an ordinary image to a prestigious one, or strengthening the existing prestigious perception (Hetsroni & Tukachinsky, 2005; Lee et Al., 2015). We believe that a strategy based on art implemented by luxury companies is beneficial mainly to support the perception of rarity by the final consumer. Luxury goods would have to be unique or at least not produced in too high volumes precisely because of their craftsmanship and the care with which they are made. Rarity is not compatible with the increase in sales volumes required by the financial holdings that own the same luxury brands (Roux and Lipovetsky, 2003; Kapferer, 2012; 2014; 2015). The artification process we researched would have exactly the dual purpose of improving the brand image of companies that apply it, while increasing the perception of luxury in end consumers. What is more, we believe that the luxury brands from the industry sector that belong to large financial conglomerates now have the strength to simultaneously apply all the components in the artification process, by sustaining activities of sponsorship, philanthropy or generic collaboration with artists. The fact that luxury products are an integral part of the world of visual arts combined with the fact luxury brands have now the strong support base of large financial conglomerates can ensure the right economic and cultural support needed for the application of such a strategy. In the case of fashion companies, we believe artification is a process in itinere. In our experiment free associations to the brand show that only 2 consumers out of 880 remembered or knew the name of the artist (Yayoi Kusama) and 10 people indicated the substantive ‘art’ or ‘contemporary arts’ as free associations in the ‘artified group’ (only 2 in the control group). This shows that luxury brands ‘art-based strategy cannot only concentrate on temporary collaborations with artists. Luxury brands as Louis Vuitton must act as art institutions able to display arts collections to the widest public and bestow art status and global recognition to collaborating artists (Masè and Cedrola, 2017). This strategy relies on LV ability to raise consumers’ awareness of the arts. While the art-oriented public recognizes artistic collaborations, the larger public does not yet is still very much aware of new designs. Novelty is equally perceived by both, but is partially decoded by one category of consumers.

This conceptual paper is motivated by personal industry experience from over 100 customer-purchasing decisions from the machine tooling industry. The insights suggest that the customer’s ability to pay (ATP) constitutes a key deal-breaker criterion for value-based decision making that up to date has been overlooked in research. Customers may be willing, but unable to pay for the offering with the highest perceived value, simply because they lack the financial resources. The traditional view on value-based marketing strategies proposes that firms must provide offerings that create value for their customers (premise 1: customer need perspective) and that the value created must be superior to competition (premise 2: competitor perspective) while generating profits (premise 3: firm’s perspective). Customers will estimate which offering provides superior value, and they will choose the offering that delivers the highest value. I introduce the customer’s ability to pay as an additional foundational premise suggesting that the firm’s offering must also be within the customer’s budget (premise 4: customer budget perspective). I propose that frontline employees must not only develop a high degree of customer need knowledge, but they must also build-up a high level of customer budget knowledge. I conclude by deriving operative and strategic management implications supported with empirical evidence from the Australian machine tooling industry.

Given the strategic importance of firm reputation due to its potential for value creation, extant reputation research focuses on favorable customer outcomes. Building on an established conceptualization of customer-based corporate reputation, this study proposes and tests a model that relates the reputation of fashion retailers to customer-perceived risk and two relational outcomes—trust and commitment. Using a sample of more than 300 German fashion shoppers, the study finds support for the hypothesized linkages. Furthermore, not all linkages are equally strong between women and men. Implications for marketing theory and practice conclude.

Purpose – The purpose of this paper is to examine retail brand equity driver and equity components, and discuss the differentiation of retail branding strategy of three types of supermarket (national chain, local chain and specialty chain) especially in Japan. Design/methodology/approach –The empirical study is based on a sample of 3,062 customers usually using supermarket chain stores (total 58 chain stores) via Internet research household panel to develop this model, and using multiple-group structural equation modeling. Findings – First, store equity driver influence the retail brand equity than policy of corporate driver, and the most affect factor of store equity driver is a service and support. Second, Retail brand equity components were distinctiveness, emotional loyalty, experience value, and trustworthiness. Emotional loyalty and experience value influences the behavioral loyalty. Third, three types of supermarket have different equity drivers, and they influence the purchase behavior. Specialty chain has a strong store driver, which increases of price per unit. National chain and local chain has a strong covariance policy of corporate driver and store equity driver, which influences the retail brand equity. Originality/value – Understanding the retail brand equity in Japanese supermarkets. Retail brand equity is made from a holistic aggregation of some components, and equity driver is made from store attributes and corporate attributes, which are attribution level of operational activities. Consumer recognizes the store as a holistic brand but company wants to know how to increase the behavioral loyalty (purchase behavior), this retail brand equity model integrates the retail brand as holistic and attribution level approach follows retail-marketing activities.

산업은 컨버전스라는 새로운 형태의 비즈니스 모델로 발전하고 있으며, 산업간 융합환경에서 클라우드 컴퓨팅은 전통산업의 새로운 경쟁력을 제공하는 원천으로 활용되고 동시에 산업 간의 융합 환경을 지원하기 위한 유용한 솔루션을 제공할 것으로 기대하고 있다. 이와 같이 클라우드 컴퓨팅이 일반화되고 그 서비스가 재편됨으로써 기존의 다른 응용 기술과의 융․복합된 서비스 구조 및 형태를 예측하고 개발하는 것은 매우 중요하며 필수적인 일이다. 이에 본 논문에서는 다양한 분야의 융합형 클라우드서비스 지원을 위해 효율적인 서비스 모델링을 위하여 활용되었던 방법론을 분석하고 이를 통해 고객 서비스 시나리오 기반의 클라우드 서비스 비즈니스 모델 사례 연구를 수행하고자 한다. 이를 통하여 이를 통하여 궁극적으로 특정 산업영역내에서 혹은 서로 다른 산업 영역간의 서비스 융합을 통하여 새로운 부가 가치를 창출할 수 있는 다양한 융합형 클라우드 서비스 비즈니스 모델 개발을 위한 사례연구로써 활용되길 기대한다.

Today many successful star marketing cases constantly represented in many companies, so star marketing has become significant. Although star marketing brings a lot of business opportunities for companies, the results are not always positive effects. The purpose of this study is to provide a mechanism to select an advertising model casting for star marketing. This study uses the combined customer data analysis and AHP approach to choose a adequate an advertising model such as internet search engine, news searched words, customer survey, etc. And then AHP technique is applied to the five chosen candidates based on their salary, awareness, issues, continuous possibility and connection to product's concept. As a result, the proposed method will guide a good casting method to select an suitable advertising model and improve the effects of star marketing. how it improves the effect of star marketing.

Today many successful star marketing cases constantly represented in many companies, so star marketing has become significant. Although star marketing brings a lot of business opportunities for companies, the results are not always positive effects. The purpose of this study is to provide a mechanism to select an advertising model casting for star marketing. This study uses the combined customer data analysis and AHP approach to choose a adequate an advertising model such as internet search engine, news searched words, customer survey, etc. And then AHP technique is applied to the five chosen candidates based on their salary, awareness, issues, continuous possibility and connection to product's concept. As a result, the proposed method will guide a good casting method to select an suitable advertising model and improve the effects of star marketing. how it improves the effect of star marketing.

The principal objective of this study was to categorize service attributes on the basis of the asymmetric and non-linear relationship existing between service attributes and customer satisfaction. Researchers generally assume that service attribute performances and customer satisfaction are both symmetrical and linear. That is to say, improvements in attribute performance will inevitably result in increased customer satisfaction. However, this is not always the case. Certain attributes have been shown not to create satisfaction even when improved, and others do not create dissatisfaction even when their performance ratings become negative. Understanding this relationship is crucial not only to researchers, but also to service managers. Service managers can arrange their priorities with regard to which attributes must be improved or promoted first, in an environment of limited technical, financial, and human resources. Many studies into this asymmetric and non-linear relationship have recently been conducted, beginning with Herzberg's motivation-hygiene theory (1976) and the disconfirmation theory, which was eventually developed into Kano's model (1984). This study attempted to determine the impact level of service attributes on incidents of satisfaction or dissatisfaction. It used 30 service attributes generated by Park (2008) in the CIT research into family restaurants. The data were collected from 600 participants, 300 incidences of satisfaction and 300 incidents of dissatisfaction, via an online survey. The t-test was used to confirm the difference between the satisfaction group's and dissatisfaction group's attributes. 11 attributes were found to be significant at a level of p>0.05. This indicates that the 11 attributes exerted different impacts on satisfaction and dissatisfaction, which confirmed the asymmetric and non-linear relationship. 14 attributes were categorized into the core service, 1 attribute into the quality service, 7 attributes into the basic service, and 8 attributes into the neutral service. Strategic customer service management was recommended for the 'A' family restaurant as an example, on the basis of the asymmetric and non-linear relationship and the characteristics of the four service factors.

  Nowadays, customer-oriented manufacturing enterprises such as airplane, ship, ship engine, etc are knowledge-intensive and higher added value industries. In these companies, to quickly respond customer’s order, a quotation management is a very important