Fish traceability system provides more values for entities to improve their business processes. The philosophy of traceability is that the process is shared along the chain and promote visibility of quality. In this paper, the barriers and drivers are identified and the problem of fish traceability is defined. Five entities examples are analyzed using a critical success factors (CSFs) theoretical framework. The paper offers a framework for managers which provides the basis for developing a fish traceability system. The case analysis identifies different approaches to fish traceability, highlights the barriers include laws and regulations, coordination, cost, information and infrastructure. Meanwhile, the drivers of applying fish traceability system include seafood fraud risks, sustainability information, expanding market, consumer behavior, and efficiency of operations management. This paper contributes to provide dimensions which can be considered by fishery industry, programmers and government before they plan to build a traceability system.

The aim of this study is to analyze the effect of e-service quality, consumer trust and social media marketing on intention to use online transportation services. The method used in this research is quantitative methods, data collection is executed by distributing questionnaires to consumers of Online Transportation Services. The population of this study is the Jabodetabek Online Transportation Services consumers whose numbers have not been identified with certainty. The questionnaire was distributed electronically using a simple random sampling technique. The results of the questionnaire returned were 180 respondents. Based on the results of data analysis, it is concluded that E-Service Quality has a significant effect on Intention to Use Online Transportation Services. Consumer Trust has no effect on Intention to Use Online Transportation Services. Social Media Marketing has a significant effect on Intention to Use Online Transportation Services.

This study aims to determine and analyze simultaneous and partial influence of consumer satisfaction on repurchase behavior in Bang Kopitiam Café and Resto in Palu City. The type of research is quantitative. The population in this study involves consumers who have visited Bangi Kopitiam Café and Resto at least 2 times. Sampling technique is accidental method, with sample of 90 respondents. Data collection using questionnaires. Data analysis tool is multiple linear regressions method. The result shows that consumer satisfaction simultaneously and partially influence repurchase behavior of consumers in Bangi Kopitiam Café and Resto Palu City.  Penelitian ini bertujuan untuk mengetahui dan menganalisa pengaruh serempak dan partial kepuasan konsumen terhadap perilaku pembelian ulang konsumen di Bangi Kopitiam Café and Resto. Jenis penelitian adalah kuantitatif (menunjukkan hubungan antar variabel). Populasi dalam penelitian ini adalah konsumen yang telah mengunjungi Bangi Kopitiam Café and Resto minimal 2 kali. Teknik penarikan sampel dalam penelitian ini menggunakan accidental sampling, dengan jumlah sampel sebanyak 90 responden. Pengambilan data menggunakan kuesioner. Metode analisis data adalah linear regresi berganda. Hasil penelitian menunjukkan bahwa kepuasan konsumen secara serempak dan partial berpengaruh signifikan terhadap perilaku pembelian ulang konsumen pada Bangi Kopitiam Café and Resto di Kota Palu.

The purpose of this study was to determine the effect of value barriers, risk barriers, image barriers, cost barriers and usage barriers on the use of mobile banking in millennial generation customers. This research used a quantitative approach and the sampling technique used is purposive sampling which conducts research on a group of subjects with certain characteristics or is considered closely related to previously known population characteristics. This research was conducted by distributing 140 online questionnaires to mobile banking users and there were 110 questionnaires that were reversed and processed. Sampling methods use snowball sampling. The results indicate that there was a positive but not significant effect between risk barriers and mobile banking adoption intentions. However, there was a negative influence between image barriers and mobile banking adoption intentions. Moreover, there was a positive influence between perceived cost barriers and mobile banking adoption intentions, there was a positive influence between the barriers to use and mobile banking adoption the intention to adopt. Finally, there was a significant influence between value barriers and mobile banking adoption intentions.

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