Product Style Research Articles

Analysis Of The Effect Of Product Quality, Product Style, Product Price, Brand Image, Service Quality And Store Environment Factors On Brand Loyalty On Uniqlo Customers In Surabaya

The development of the fashion world in Indonesia has also increased quite rapidly. Fashion is any fashion of clothing or accessories that is popular in a certain place within a certain period of time too. The fastest growing fashion is clothes, this is due to the very fast changing of clothes. One of the fashion items that enter shopping centers in Surabaya is Uniqlo. Uniqlo is a fashion retailer from Japan that offers causal clothing for anyone. Uniqlo products have a function and are made of good materials, such as women's jeans which are elastic so they are suitable for daily activities. The purpose of this study was to determine the effect of product quality, product style, product price, brand image, service quality and store environment of brand loyalty.The expected benefits of this research is to increase the repertoire of knowledge in the field of management, especially how large the influence of product quality, product style, product price, brand image, service quality and store environment so as to increase Brand Loyalty for Uniqlo customers in Surabaya. This study is causal. The method used is quantitative methods of processing the data using AMOS. Data was collected by distributing questionnaires to 125 respondents with the characteristics of male and female respondents aged 18-60 years, and has visited Uniqlo at least 1 year.The results showed that Product Quality with regression coefficient of 0.369; Product Style with regression coefficient of 0.277, Product Price with regression coefficient of 0.635, and Service Quality with regression coefficient of 0.238, positive and significantly affect Brand Loyalty; Brand Image with regression coefficient of 0.015 and Store Environment with regression coefficient of 0.021, positive and not significantly affect Brand Loyalty

Wild Yeast for the Future: Exploring the Use of Wild Strains for Wine and Beer Fermentation.

The continuous usage of single Saccharomyces cerevisiae strains as starter cultures in fermentation led to the domestication and propagation of highly specialized strains in fermentation, resulting in the standardization of wines and beers. In this way, hundreds of commercial strains have been developed to satisfy producers’ and consumers’ demands, including beverages with high/low ethanol content, nutrient deprivation tolerance, diverse aromatic profiles, and fast fermentations. However, studies in the last 20 years have demonstrated that the genetic and phenotypic diversity in commercial S. cerevisiae strains is low. This lack of diversity limits alternative wines and beers, stressing the need to explore new genetic resources to differentiate each fermentation product. In this sense, wild strains harbor a higher than thought genetic and phenotypic diversity, representing a feasible option to generate new fermentative beverages. Numerous recent studies have identified alleles in wild strains that could favor phenotypes of interest, such as nitrogen consumption, tolerance to cold or high temperatures, and the production of metabolites, such as glycerol and aroma compounds. Here, we review the recent literature on the use of commercial and wild S. cerevisiae strains in wine and beer fermentation, providing molecular evidence of the advantages of using wild strains for the generation of improved genetic stocks for the industry according to the product style.

Research on the Intelligent Design of the Multidimensional Form of a Product under a Brand Cobweb Constraint

Based on the cobweb theory and bee evolutionary genetic algorithm (BEGA), a multidimensional style intelligent design method is proposed to inherit the brand characteristics and obtain a multidimensional product style during the design process. Cobweb theory is used to characterise the multidimensional development of product genealogy, analyse the product morphological evolution mechanism of past generations, and distinguish morphological genes. The efficient inheritance of the BEGA guarantees the selection, crossover and mutation of genetic features. Based on the cobweb model of a certain brand of tractors, different morphological gene types were distinguished. With a human-computer evaluation, a constraint model that reflects the brand culture and consumer personality requirements was constructed. The BEGA was used to establish a multidimensional style intelligent design method for a certain brand. A tractor is used as an example to explain the process, and a set of experiments are used to verify the feasibility and effectiveness of the method.

Development of an approach to using a style in software engineering

An ontology-driven approach to applying styles in software engineering is developed in the study. The essence of the approach is to use ontology not only to represent styles but also to control the use of styles when creating and maintaining software. For such purposes, appropriate ontology and developer support tools are provided to represent a style, and tools (reasoners) are created on the ground of the ontological knowledge base to control the application of the style in work products of the software lifecycle phases. Based on descriptive logic, the knowledge base contains two components – terminological (TBox) and factual (ABox). The first component was created in advance by performing a domain analysis. The second component was created when analysing the representation of the corresponding work product. For the purpose of typification in the context of the developed approach, templates for the kernel ontology of the software engineering style were created by analysing the concept of style in different domains. The basic characteristics of style as a domain-independent concept, which are presented in the templates, are formulated in the article. In this case, the Work Product Pattern Application pattern of the Unified Foundational Ontology is used to select the number of templates needed to represent the style. The pattern describes actions that may exist regarding the Work Product style. An example of using the approach is considered by investigating the proposed ontology-driven method for programming style application in software engineering and building the architecture of the tool that implements it. Protege use shows how to build the ontology of a programming style and programmer support. The architecture of the tool for controlling the application of style is developed and implemented in a work product of the design phase – a programme text. The basis of the architecture is the knowledge base of the corresponding style. The terminological component of the knowledge base contains information regarding programming languages and styles, and it is created in advance by the ontology developer. The actual component is created by the reasoner for each representation of the work product – the programme text. The tools developed in the context of the proposed approach automate the processes that take place when applying styles to work products of the software lifecycle phases.

Revival of the Traditional Crafts: Diversification Towards Utilitarianism

Making handicrafts in India is a family heritage that has been handed down through the generations. In India, millions of people still rely on home grown industries and age-old methods of manufacturing and production. These are the handcrafted and tangible manifestations of a certain community or culture. But, as the globe becomes more interconnected, items are becoming increasingly commoditized, and artists throughout the world must compete with things made in factories. The constant need for new variations on a product's style, design, and color pose a serious danger to artisans and threaten to supplant their work with mass-produced, factory-made machine crafts. The fact that Indian markets do not appreciate the genuine worth of craft is the industry's greatest drawback. When this worth is acknowledged, and consumers are prepared to pay a premium price for craft based items, it should lead to greater incomes for weavers and craftsmen and provide a boost for millions of rural-based livelihood prospects related to this industry. As a result of diminishing demand, an aging workforce, and the challenge of reaching new customers, many artists have relocated to metropolitan areas in pursuit of low-skilled manufacturing jobs.

ANALISIS PERSEPSI KONSUMEN TERHADAP KONSEP PRODUK MICROCAR ARINA

<p align="center"><strong><em>ABSTRACT</em></strong><strong><em></em></strong></p><p align="center"><em> </em></p><p align="justify"><em>The National otomotive industry in Indonesia has a very good prospect. Domestic market is very potential for developing transportation device, because it supported by the wide landscape o Indonesian region and the large amount of Indonesian population. However, the presence of national car industry not directly implicate to the probability of product absorption massively. Government support in matter of economy policy, bureaucracy and national car development technique are not the main factor that giving the possibilities for product selling success. The success for national car selling still determined by how big the market can accept the product concept.</em><em></em></p><p align="justify"><em>Arina Motor Manufacturing is the company that recently developing the Microcar national car prototype with the brand ARINA. Recently, target market for this product is domestic/local market. The first indication for helding this research is the necessity of the new product testing for getting market response. The problems that indicated as the cause are the product concept it self such as quality, feature, style and design, also the perception from the future consumer to Arina Microcar. This research has an intend to examine much further of the marketing mix analysis, especially that related with the product concept of ARINA Microcar as one of the national car excellence product prototype.</em><em></em></p><p align="justify"><em>The research was held on Jakarta Indonesian International Motor Show (IIMS) at July 24th – August 02nd, 2009. The survey was held by spreading the questioner to respondents for the intend to get some information that related with some factors in marketing mix from the product concept view that influence consumer perception toeward ARINA Microcar. The data processing for the this research is processed by using SPSS Program.</em><em></em></p><p align="justify"><em>The result of this research shows that all research variable are valid and reliable. Based on factor analysis testing, all variable fulfill the properness condition and connected each other, because the gained data KMO > 0.50. Meanwhile, the analysis result correlation shows that the future consumer perception toward ARINA Microcar product concept is not significantly determined by quality variable (29.9%), but determined by feature variable (52.7%), and style/design (64.4%). In the meantime, regression analysis result also shows valid with some indicators such as data already normal distributed, there is no autocorelation, and there is no colinearity. The F test results shows that all variable by collectively influence to the perception. But the result of the T test shows only feature variable and style/design that separately influence to the perception. </em><em></em></p><p align="justify"><em> </em></p><p><em>Keywords: Product Quality, Features, Style and Design, Consumer Perception</em></p>

自己認識が流行志向に及ぼす影響 : 製品スタイル選択における「自分らしさ」の判断基準とトレンドの関係

自己認識が流行志向に及ぼす影響 : 製品スタイル選択における「自分らしさ」の判断基準とトレンドの関係

Factors Associated with Production Input Difference of a Manufacturing Plant in Sri Lanka: A Case Study

The supply chain is a system of organizations, peoples, activities, information, and resources involved in moving a product or service from supplier to customer. As the whole supply chain is linked together, any inconsistency in one link can badly affect the overall supply chain. Each organization in the supply chain has its own internal individual supply chains. The internal supply chain is mainly based on the production demand and material supply to the production. Any inconsistency between the demand and the supply, directly affects the status of internal supply chain. Only few studies have been done on internal supply demand variance, and this study is one of the few approaches into this area. The main objective of this study is to identify the factors associated with production input difference of a manufacturing plant. This is an explanatory research, which is done using appropriate sampling methods and Vector Auto regressive (VAR) modeling. Eviews (7.0.0.1) version is used to analyze the data. First of all the data has been checked for stationary property and the related lag length has been selected. Then the VAR modeling techniques has been applied and later the diagnostic tests have been performed on the resulted models. In briefing the results, it is stated that style of the product (Style) does not impact the input variance models or downtime models. Considering input variance models, it is found that downtime at lag 1 does not have any impact on the input variance. Furthermore, the previous day input variance has a significant impact to the next day input variance. The style and previous day downtime influence the demand variance only in special cases. As heteroskedasticity is present in some of the models, exponential & power transformations have been done in order to avoid heteroskedasticity. But the results do not dramatically change due to transformations.

Case-Based Reasoning for Product Style Construction and Fuzzy Analytic Hierarchy Process Evaluation Modeling Using Consumers Linguistic Variables

Key form features are relative to the style of product, and the expression on style features depicts the product description and is a measurement of attribute knowledge. The uncertainty definition leads to an improved and effective product style retrieval when combined with fuzzy sets. First, a style knowledge and features database are constructed using fuzzy case-based reasoning technology; a similarity measurement method based on case-based reasoning and fuzzy model of the fuzzy proximity method may be defined by the fuzzy nearest-neighbor algorithm for obtaining the style knowledge extraction. Second, the linguistic variables (LV) are used to assess the product characteristics to establish the product style evaluation database for simplifying the style presentation and decreasing the computational complexity. Third, the model of product style feature set, extracted by fuzzy analytic hierarchy process (FAHP), and the final style related form features set are acquired using LV. This research involves a case study for extracting the key form features of the style of high heel shoes. The proposed algorithms are generated by calculating the weights of each component of high heel shoes using FAHP with LV. The case study and results established that the proposed method is feasible and effective for extracting the style of the product.

Study on the Impact of Morphological Evolution on Household Electrical Appliances Product Style

Related product information about Haier refrigerators are collected, and morphological characters of the refrigerator main panel are extracted, carry on analysis of a large amount of statistical data. Relationship between refrigerator morphological evolution and the era of consumption demand as well as the relationship between refrigerator morphological evolution and design style are discussed by sorting out morphological evolution of modeling elements such as the line features and section ratio of the different kinds of refrigerators so as to study the impact of morphological evolution on household electrical appliances.

Automotive style design assessment and sensitivity analysis using integrated analytic hierarchy process and technique for order preference by similarity to ideal solution

Product style characteristics have a large impact on product function. Making an objective and precise assessment of style characteristic has become an increasing importance to improve the production efficiency and reduce environmental pollution. This work proposes a framework built by analytic hierarchy process and technique for order preference by similarity to ideal solution methods, that is, analytical hierarchy process and technique for order performance by similarity to ideal solution, to evaluate automotive style design alternatives’ performance, together with automotive style design characteristics. Analytic hierarchy process is applied to obtain weights of the performance, and technique for order preference by similarity to ideal solution is adopted to rank the design alternatives. A case study is illustrated to test and verify the proposed method. Simultaneously, sensitivity analysis is provided to monitor the robustness of this method. The results show that it provides an effective and feasible method for evaluation of automotive style design alternatives’ performance.

A salt-free and chromium discharge minimizing tanning technology: the novel cleaner integrated chrome tanning process

Chrome tanning is the most important and widely used tanning method in leather manufacture up to now. However, simultaneously control of the severe contamination of large amount of chromium and chloride discharge, both of which are serious environmental concerns, is highly challenging with the conventional chrome tanning process. Consequently, the development of leather manufacture is being unsustainable. In order to minimize the emissions of chromium and chloride integrately, a salt-free and high exhaustion chromium tanning method was designed and optimized in both laboratory and pilot scale. The results indicated that, being superior to the conventional process, the chrome tanning process was conducted in a salt-free condition smoothly and the chromium absorbility was increased to 98% from 73% in the novel process. Then the Cr dosage was minimized from 1.16% to 0.61% and the residual Cr concentration in the spent liquor dropped below to 50 mg/L from above 1100 mg/L. The pilot-scale experiments verified that the novel method was acceptable in the aspects of organoleptic and mechanical properties of resultant leather, product style and cost. It is anticipated that the spent liquor containing a very small amount of chrome and chloride can be more easily disposed and the generation of chromium-containing sludge will be stoichiometrical much less. The established novel chrome tanning process satisfactorily solves the longstanding problems commercially and matches the integral requirements of the modern sustainable leather industry.

A study that applies aesthetic theory and genetic algorithms to product form optimization

In the past, designers developed new products by virtue of their own accumulation of aesthetic perception and experience. Because the information that designers could master was limited, it was difficult to develop quickly the capability of satisfying consumer-oriented markets. This limitation may consequently cause the enterprises unnecessary risks. Based on this, a set of aesthetic evaluations and an optimization system for form aesthetics are proposed in this study. Calculations of explicit equations were performed so as to assisting in measuring the aesthetic characteristics; next, a fuzzy judgment was invoked to calculate the perceptual aesthetic measures of a product style so as to establish the overall aesthetic standard for the product. Aesthetic measurement principles were combined with the genetic algorithm (GA) and applied to the optimization of the product’s shape. All-in-one stereos were chosen to serve as the target products as a case study. Further form optimization was conducted on two of the stereos and the questionnaire survey indicated that their aesthetic measures increased after the optimization. The errors that resulted from the equations for aesthetic measurements and judgments were also reduced accordingly. The precision and feasibility of the aesthetic theory that was constructed in this study were assessed, tested, and verified.

Evaluating the Effective Factors in Loyalty of Athletes to Sports Brands in the Archery League Teams

The purpose of this study is to evaluate and prioritize the factors affecting loyalty of athletes to Sports Brands in the archery league teams. The method of the study is descriptive and the needed data for the survey were collected in measuring way. The sample of the study consisted of 90 athletes participating in premier archery teams in 1393, 65 men and 25 women, but according to Kerjesi and Moorgan Table sample size decrease to 73. To select a representative sample of the population, a randomly stratified by gender, 53 males and 20 females, were determined and availability research questionnaire was distributed among them. Questionnaire of the survey was adapted from Lau and colleagues (2006) of 11 subscales (brand name, product quality, price, style of product, environment of store, advertising, quality of services, influence of others, social class, lifestyle and volume of advertising ), and 40 items were designed. Validity of the questionnaire was determined by outstanding masters of sports management and 0.77 Cronbach's Alpha showed acceptable reliability of the questionnaire. The KS test, stepwise regression, and Friedman were used for statistical analysis of data. Results showed that the components of price, volume of advertising, lifestyle and environment of store were stronger predictors for Sport Brands, respectively. Friedman test showed, among other components are the components of the product style, social class, lifestyle, quality of services, and the volume of advertising in the priority groups.

The effect of prior knowledge and decision-making style on the online purchase decision-making process: A typology of consumer shopping behaviour

This paper provides an empirical typology of online decision-making purchasing behaviour. The study explores how the online purchase process is affected by individual decision-making style and knowledge of product. Drawing from the decision analysis and consumer behaviour literatures, we present a typology of online purchase decision-making behaviour and introduce four archetypes of online consumers. A number of experiments have been conducted in two online settings: retail banking and mobile networks. Based on an extensive video analysis, we have captured four process-related dimensions (number of cycles, duration, number of alternatives and number of criteria) using a business process modelling approach. Significant differences in all process-related dimensions were found across the four archetypes. The study improves understanding of the different types of online consumers and their process outcomes. The findings are useful for online retailers seeking to improve the way they support the four archetypes of online shoppers throughout the decision-making purchasing process.

Effect of different tumbling marinade treatments on the water status and protein properties of prepared pork chops.

Recently, in consideration of the rapidly increasing demand for meat products and the trend towards fast food consumption, the prepared boneless pork chop, as a new style of value-added product, is cut from pork loins and welcomed by consumers after marinating or further cooking. The effect of different tumbling marinade treatments (control group, CG; conventional static marinade, SM; vacuum continuous tumbling marinade, CT; vacuum intermittent tumbling marinade, IT) on the water status and protein properties of prepared pork chops was investigated. The CT treatment significantly increased T22 peak area ratio compared with other treatments (P < 0.05). Histological microstructure results showed that CT treatment significantly increased solubility of salt-soluble proteins and decreased muscle fiber diameter compared with other treatments (P < 0.05). The net enthalpy (ΔH) of IT treatment was significantly lower than SM treatment (P < 0.05), whereas the protein denaturation temperature (Tm3 ) and ΔH3 of CT treatment were lower than IT treatment. These results suggest that CT treatment was more effective in improving the water mobility and distribution, promoting the denaturation of muscle protein and accelerating the marinade efficiency of pork chops compared with other treatments. Thus CT treatment should be adopted.

Prioritization of factors impacting on performance of power looms using AHP

The purpose of this paper is to identify the critical success factors influencing the performance of power loom textiles, to evaluate their impact on the organizational performance and to find out the effect of these factors on the organizational performance of small and medium-sized enterprises (SMEs) in the Solapur (Maharashtra) industrial sector using AHP. In the methodology adopted, factors are identified through the literature survey and finalization of these factors is done by taking the opinion of experts in the Indian context. By cognitive map, the relation between these factors (direct and indirect effect) is determined and cause and effect diagram is prepared. Then these factors are arranged hierarchically and tree diagram is prepared. A questionnaire was designed and distributed among the experts; data is collected. Using expert choice software data is filled to quantify by pair-wise comparison of these factors and are prioritized. The weights demonstrate several key findings: local and global priority reveals that there is a substantial effect of the human resource, product style, and volume on the organizational performance. The skills and technology upgradation impact on organizational performance. Maintenance plays an important role in improving the organizational performances of the SMEs. Overall, the results showed the central role of the operational factors are important. The research is subject to the normal limitations of AHP. The study is using perceptual data provided by Experts which may not provide clear measures of impact factors. However, this can be overcome using more experts to collect data in future studies. Interestingly, the findings here may be generalisable outside Solapur like Ichalkarnji, Malegaon, and Bhiwadi (Maharashtra). Solapur power loom SMEs should consider AHP as an innovative tool for quantification of factors impacting on performance and improving operational and organizational performance in today’s dynamic manufacturing environment. The finding suggests the notion that these critical success factors (CSFs) are to be studied carefully and improvement strategy should be developed. Moreover, the study emphasizes the need to link priority of factors to organizational performance and improvement. The study integrates the CSFs of performance and its quantification using AHP and its effect on performance of power loom textiles. The indirect impacts of underlying and fundamental factors are considered. Very few studies have been performed to investigate and understand this issue. Therefore, the research can make a useful contribution.

Head-and-face shape variations of U.S. civilian workers

The objective of this study was to quantify head-and-face shape variations of U.S. civilian workers using modern methods of shape analysis. The purpose of this study was based on previously highlighted changes in U.S. civilian worker head-and-face shape over the last few decades – touting the need for new and better fitting respirators – as well as the study's usefulness in designing more effective personal protective equipment (PPE) – specifically in the field of respirator design. The raw scan three-dimensional (3D) data for 1169 subjects were parameterized using geometry processing techniques. This process allowed the individual scans to be put in correspondence with each other in such a way that statistical shape analysis could be performed on a dense set of 3D points. This process also cleaned up the original scan data such that the noise was reduced and holes were filled in. The next step, statistical analysis of the variability of the head-and-face shape in the 3D database, was conducted using Principal Component Analysis (PCA) techniques. Through these analyses, it was shown that the space of the head-and-face shape was spanned by a small number of basis vectors. Less than 50 components explained more than 90% of the variability. Furthermore, the main mode of variations could be visualized through animating the shape changes along the PCA axes with computer software in executable form for Windows XP. The results from this study in turn could feed back into respirator design to achieve safer, more efficient product style and sizing. Future study is needed to determine the overall utility of the point cloud-based approach for the quantification of facial morphology variation and its relationship to respirator performance.

Grey Relational Analysis and Augmented Reality to Construct a Recommendation System on Cultural Creative Products

This paper tries to select attributes of creative products which take Augmented Reality (AR) technology as user interaction with the media in order to obtain valuable information of the user experience, then, those data sets are summarized and analyzed to build a recommendation system on cultural creative products. Firstly, the external form of cultural creative products can be divided into shape, material, color and texture, user according to their own preference to select the most suitable goods of their own cognitive. Then, Augmented Reality (AR) technology and image recognition with 3D model allows users to select their favorite style of the product through an interactive manner and ranking of a series of prototype design is obtained according to the Grey Relational Analysis. Finally, a product recommendation system let the user choose to verify the research results for the culture creative products.

An Innovative Design Methodology KKBDCA for Affective Product Development

This study proposes an innovative design scheme, called KKBDCA (Kano model, Kansei engineering, Base information, Design developing, Creativity thinking, and quality Assurance) for developing affective products. Firstly, a modified Kano model is proposed to link the customer’s overall satisfaction and customer’s partial preferences. Secondly, the KE together with appropriate quantification theory is used to establish the mapping relationship between design elements and customers’ preferences. Then, a prototype of product with high customer satisfaction index (CSI) is selected from the product database as design reference. Thirdly, through the operation of BDCA design procedure, a new style of product is performed. Finally, verification is done to the new designed product and a satisfying evaluation result is obtained. The proposed integrated scheme may be used as a design methodology to explore new product style that satisfies customers’ needs in overall aspects.