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The IC packaging industry heavily relies on shop floor information, necessitating the development of a model to flexibly define shop floor information and timely handle manufacturing data. This study presents a novel data model of product manufacturing flow to define shop floor information to effectively respond to accelerated developments in IC package industry. The proposed data model consists of four modules: operation template setup, general process setup, enhanced bill of manufacture (EBOMfr) setup, and work‐order process setup. The data model can flexibly define the required shop floor information and decision rules for shop floor product manufacturing flow, allowing one to easily adopt changes of the product and on the shop floor. However, to handle floor dynamics of the ICD packaging industry, this work also proposes a WIP (i.e. work‐in‐process) system for monitoring and controlling the product manufacturing flow on the shop floor. The WIP system integrates the data model with a WIP execution module. Furthermore, an illustrative example, the MIRL WIP System, developed by Mechanical Industrial Research Laboratories of Industrial Technology Research Institute, demonstrates the effectiveness of the proposed model.

The Fresh Milk Logo certifies that dairy product sold in Taiwan really is fresh milk. However, the logo represents only a moral pledge by the manufacturer. No method exists for inspecting whether products are fresh milk or reconstituted milk, and the label does not represent a commitment to the same level of quality and consumer health protection as found in organic foods. The purpose of this paper is to analyze consumer perceptions of organic certified agricultural standards (CAS) and estimates consumer willingness to pay (WTP) a premium should the Fresh Milk Logo be transformed into an organic CAS certified label.

Exploratory factor analysis is adopted to extract the main determinants of respondent perceptions and preferences. Additionally, the double-bounded dichotomous choice of the contingent valuation method (CVM) and survival function is used to measure consumer WTP a premium for organic fresh milk.

Consumer consumption preferences for buying fresh milk extracted four main factorial dimensions: Fresh Milk Logo, price/promotion, organic, and product/brand. Respondents are willing to pay US$21.95 extra per year to buy organic CAS milk and the factors affecting WTP are “Fresh Milk Logo” and “organic”.

The problems of the CVM include hypothetical and starting point for price bidding. The double-bounded dichotomous choice contingent valuation model and pre-testing can reduce the biases. The survival function is more flexible, yields more information and permits assumptions regarding parametric distributions without additional costs. The collaboration of survival function with the double-bounded method produces a reliable result that incorporates fewer statistical errors.

Consumers are willing to pay a premium for fresh milk with an organic CAS label that certifies its good quality and safety.

Marketing managers can use the study findings to develop effective marketing strategies and refine advertising campaigns to promote organic fresh milk to attract more consumers.

Organic food labels certify food safety, and are associated with the trend toward increasing awareness of environmental and health issues. Perception of organic food labels are introduced into double-bounded dichotomous choice CVM to estimate consumers’ WTP, an approach which has successfully dominated traditional methods, using Likert scale-type measurement.

While the literature attends to how customer retention strategies develop relationship quality (e.g. trust), it does not account for the potential mediator (s) in this relationship. The purpose of this paper is to examine the mediating role of brand relationship quality (BRQ) in the relationship between relational bonds and brand loyalty in retail service contexts.

A total of 524 valid questionnaires from respondents aged between 15 and 24 are analyzed using structural equation modeling.

First, BRQ significantly mediates the relationship between relational bonds and brand loyalty. Second, structural bonds are the only driver of attitudinal attachment; social and structural bonds lead to a sense of community. Third, attitudinal attachment is the main influence on both behavioral and attitudinal loyalty.

First, a focus on a single market segment, i.e. 15-24 year olds. Second the dimensions used to measure relational bonds and BRQ might not be applicable to other contexts. Third, does not consider potentially important moderator(s). Fourth, does not distinguish between store and product brands.

This study makes the following contributions to the literature: First, demonstrates the importance of BRQ as a mediator in the relationship between relational bonds and brand loyalty. Second, elucidates the role of BRQ in establishing brand loyalty in three theoretical frameworks applied to retail service contexts. Third, suggests a more comprehensive view of brand loyalty involving both behavioral and attitudinal dimensions. Fourth, proposes the managerial implications of this work for the customer retention strategies of retail service firms.