Claim Missing Document
Check
Articles

Found 13 Documents
Search

Blockchain Technology Innovation in Transforming Digital Business Models: A Case Study in the Financial Industry Aksenta, Almasari; Syachrul, Syachrul
Management Studies and Business Journal (PRODUCTIVITY) Vol. 1 No. 6 (2024): Management Studies and Business Journal (PRODUCTIVITY)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/c443a226

Abstract

Blockchain technology has emerged as a transformational innovation with significant implications for the financial sector, increasing transparency, security and operational efficiency. This research aims to explore how blockchain technology can change digital business models in the financial industry. Using the PRISMA method, the author conducted a systematic review of relevant literature. The research results show that blockchain adoption can streamline operational processes, reduce costs, and increase data security. The implications of this research include increasing trust and efficiency in financial services, as well as providing practical guidance for the implementation of blockchain technology in the industry.
Perception Convenience, Price, Promotion and Brand Image Satisfaction Customer GrabBike in Samarinda City Aksenta, Almasari; Syachrul; Audhis, Allayza
International Journal of Economic, Finance and Business Statistics Vol. 2 No. 4 (2024): August 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijefbs.v2i4.2321

Abstract

This research is quantitative research and aims to determine the influence of variables of perception convenience, price, promotion and image brand to GrabBike customer satisfaction in Samarinda City.​ This research was collected through questionnaire to 100 respondents in Samarinda City which was obtained through nonprobability sampling sample technique with determination of purposive sampling. The data analysis technique used multiple regression analysis. The results of this study indicate that the variables price, promotion and brand image have a significant effect on customer satisfaction, while the perceived ease variable does not have a significant effect.
Exploration of Customer Satisfaction Factors in the use of Maxim Online Transportation: An Empirical Study in the City of Samarinda Satryawati, Satryawati; Hamdani, Hamdani; Rangga Aditya; Almasari Aksenta; Syachrul, Syachrul; Umi Zunaidah; ST Nurhasanah
Asian Journal of Environmental Research Vol. 2 No. 3 (2025): Available online
Publisher : CV. Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/ajer.v2i3.590

Abstract

The rapid digitalization of app-based transportation services has transformed urban mobility behaviour, making it increasingly important to understand the factors shaping customer satisfaction within a competitive market environment. This study examines the influence of price, ease of use, customer trust, and customer experience on user satisfaction with the Maxim online transportation service in Samarinda, emphasizing perceived value, risk perception, and the socio-emotional dynamics embedded in service interactions. A quantitative approach was employed through a survey of 100 respondents selected using purposive sampling, and the data were analyzed using multiple linear regression, t-tests, F-tests, and the coefficient of determination to evaluate the predictive strength of the model. The results reveal that price, customer trust, and customer experience significantly affect satisfaction. In contrast, ease of use does not show a significant effect, although it remains a baseline expectation in digital service ecosystems. The strongest determinants of satisfaction are the perceived fit between price and benefits, users' Trust in safety and reliability, and positive social interactions with drivers. The simultaneous test shows that the four variables collectively explain 52.2% of the variance in customer satisfaction, highlighting its multidimensional nature in digital service evaluation. Overall, the study concludes that satisfaction with Maxim is driven more by perceived value and social-emotional experiences than by technological convenience, offering strategic implications for service enhancement, customer relationship strengthening, and long-term loyalty development.