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This paper describes the development process of a mobile Voice User Interface (VUI) for Korean users with dysarthria with currently available speech recognition technology by conducting systematic user needs analysis and applying usability testing feedback to prototype system designs.

Four usability surveys are conducted for the development of the prototype system. According to the two surveys on user needs and user experiences with existing VUI systems at the stage of the prototype design, the target platforms, and target applications are determined. Furthermore, a set of basic words is selected by the prospective users, which enables the system to be not only custom designed for dysarthric speakers but also individualized for each user. Reflecting the requests relating to general usage of the VUI and the UI design preference of users through evaluation of the initial prototype, we develop the final prototype, which is an individualized voice keyboard for mobile devices based on an isolated word recognition engine with word prediction.

The results of this paper show that target user participation in system development is effective for improving usability and satisfaction of the system, as the system is developed considering various ideas and feedback obtained in each development stage from different prospective users.

We have developed an automatic speech recognition-based mobile VUI system not only custom designed for dysarthric speakers but also individualized for each user, focussing on the usability aspect through four usability surveys. This voice keyboard system has the potential to be an assistive and alternative input method for people with speech impairment, including mild to moderate dysarthria, and people with physical disabilities.

This paper aims to enhance the responsiveness of enterprises with regard to delivery schedules in a supply chain. Based on the observations in industry, it seems that companies often re‐negotiate their due‐dates. These phenomena have begun to appear only recently, as a result of the advancements of information technology and flexibility in the supply chain. However, these due‐date re‐negotiation processes are haphazard and ad hoc in nature, and a formal process is needed to respond to market fluctuations more quickly. In this paper, a re‐negotiable order processing method is developed that can change the already‐assigned due‐dates or allow partial shipments to increase the flexibility of firm response to a rush order from a prior customer (PC).

A due‐date re‐negotiation process is defined and a formal system for handling customer orders is proposed. The new data and business process integration model are proposed for the due‐date re‐negotiation process based on RosettaNet's Partner Interface Processes. Web services and ubiquitous computing technologies are used in the proposed system architecture to allow for responsive sales order management.

The paper shows that assigned due‐dates can also be re‐negotiated by enhancing the connectivity and visibility of the supply chain with co‐operative customers. In the early stage of the product life cycle or high‐regional demand variation environments, it is better to re‐negotiate due‐dates than to meet scheduled due‐dates.

In some instances, meeting the due‐date requested by a customer relates to the success or failure of a particular sales order. The proposed re‐negotiation method could help the sales offices of the MF to respond to PC requests quickly and flexibly. Rush orders from PC might be acceptable based on the slack gained through the re‐negotiation of co‐operative customers' assigned orders.

There has been a considerable volume of studies on the due‐date assignment, order releasing, and scheduling problems. However, these previous studies considered due‐dates as exogenous parameters or fixed endogenous variables. In this paper, the assigned due‐dates for pre‐contracted co‐operative customers are considered as re‐negotiable variables. On the other hand, most studies on ubiquitous computing technologies, especially those relate to radio frequency identification (RFID), have focused mostly on asset management and processing time reduction. This paper suggests other benefits of increased visibility and traceability of RFID technology in enhancing responsiveness and flexibility in the sales order management system.

There have been many studies on topics related to supplier relationship management (SRM), namely purchasing strategy, supplier selection and development, and collaboration with suppliers. However, these studies have not suggested a solution based on an integrative concept, as they focus only on domain‐specific problems. To overcome this limitation, the purpose of this present paper is to suggest a framework for an integrative SRM system by analyzing comprehensive approaches to overall SRM functions.

The paper reviewed and analyzed studies related to SRM from an integrative viewpoint, proposed a framework for an integrative SRM system, and performed a case study based on the analytical hierarchy process with a field survey.

The paper expects that the proposed framework can play a major role in enhancing the efficiency and effectiveness of SRM by adopting an integrative concept because the functions of SRM are highly interrelated. Furthermore, it verifies the applicability of the framework via a case study.

Not many approaches are available for organizing evaluators or evaluation sheets, which are used for selecting criteria, providing weight, and evaluating supplier performance, that can secure objectivity of the evaluation; thus, when applying this framework to the industry, special consideration is needed.

The proposed framework allows the purchasing members to scrutinize key features of SRM before and during the SRM system operation.

The paper provides useful knowledge about the role of SRM systems by holistically approaching SRM‐related processes while suggesting criteria and recommendations to a purchasing manager.

This paper aims to develop a quality evaluation model for artificial intelligence (AI)-based products/services that is applicable to startups utilizing AI technology. Although AI-based service has risen dramatically and replaced many service offerings, in reality, startups are rarely to develop and evaluate AI services. The features of AI service are fundamentally different from the properties of existing services and have a great influence on the customer's service selection.

This paper reviews startups' development process, existing quality evaluation models and characteristics of services utilizing AI technology, and develops a quality evaluation model for AI-based services. A detailed analysis of a survey (application of the model) on customer satisfaction for AI speakers is provided.

This paper provides seven key features and 24 evaluation items for evaluating AI-based services.

This paper contributes to the growing need for methodologies that reflect the new era of AI-based products/services in quality evaluation research.