It is important that SMEs are able to prioritize business quality by identifying business requirements based on customer requirements. This strategy is able to help SMEs generate innovation in the form of improved business quality activities to meet customer requirements. This approach uses the “quality function deployment (QFD)” method to identify the priority business requirements and improvement actions to generate business quality. As a result, we managed to identify five priority variable business requirements (BReqs) based on seven variable customer requirements (CReqs) with the lowest satisfaction score. We proposed some improvement actions in perspective quality based on five priority business requirements. Moreover, the final quality matrix of business quality improvement priority generally makes it easier for users to read and find out which variables need to be improved. This research also presents a solution so that users can perform business actions effectively and efficiently in allocating their resources.

Small and medium enterprises (SMEs) must continue to combine technology and market adaptation or open innovation to sustain their business. One of these ways is to promote their products and services extensively. This study investigated the best media to promote SMEs in the local agricultural markets of Hungary. This study uses an approach of asking consumers where they receive information about SMEs and their determinants. Research questionnaires were distributed to 156 consumers who purchased agricultural products on the Budapest Central Market Hall. The data were analyzed using a binary logistic model. The studies showed that consumers obtain market information through word-of-mouth and digital media. Older consumers tend to receive information through word-of-mouth, while consumers who rarely interact with others or who are educated or foreign choose digital media. Therefore, SMEs in Hungary’s local agricultural markets have yet to focus on developing promotional activities through these two media. For the future, recommendations are given to SMEs in Hungary to maintain the quality of products and services and to develop two-way communication in digital media (e-WOM).

Since it is an important human need and many organizations are involved in the value chain, the agricultural food supply chain is exposed to various risks that arise naturally or through human actions. This study aims to develop the application of a quality function deployment approach to increase the resilience of the food supply chain by understanding customer needs and logistical risks in the food supply chain. In-depth studies with empirical analysis were conducted to determine the importance of customer needs, food supply chain risks, and actions to improve supply chain resilience of SMEs in the agri-food industry. The result shows that the top three customer needs are "attractive, bright color", "firm texture" and "fresh smell". The top three risks in the agri-food supply chain are "improper storage," "Harvest Failure" and "Human Resource Risks" and the top three resilience actions are "continuous training," "preventive maintenance," and "supply chain forecasting." The implications of this study are to propose an idea that broadens the perspective of supply chain resilience in the agri-food industry by incorporating the needs of customers in considering how to mitigate the existing risks to the satisfaction of customers, and it also highlights the relatively low skill and coordination of the workforce in agri-food supply chains.

This study aims to identify service priority attributes for online travel agency (OTA) mobile application development. A quantitative- descriptive research design was used in this study. Data collection was done through literature review and questionnaire surveys. The respondents in this study were 273 customers of OTA. The results showed that the service attribute with the highest importance was the fulfilment dimension with an average weighting of 4.84 out of 5. In the fulfilment dimension, the service attribute with code F3, which refers to the need for mobile applications to be able to deliver orders as quickly as possible, has the highest weight. In second place is the privacy dimension, with an average importance score of 4.80. In this dimension, service attribute P3, which refers to the ability of mobile applications to protect customers' credit card data, ranks first. In third place is the responsiveness dimension with an average importance value of 4.69. Attributes relating to the customer being able to speak directly to customer service in the event of problems are the attributes with the highest weighting on the responsiveness dimension.