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The Impact of Brand Awareness and Country of Origin on Purchase Intention with Mediation of Self Congruity on Chinese Brand Automotive Products Wuling Setiadi, Erick; Adiwijaya, Michael; Subagio, Hartono
Petra International Journal of Business Studies Vol 1 No 2 (2018): DECEMBER 2018
Publisher : Master of Management Study Program, Faculty of Business and Economics - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ijbs.1.2.70-79

This study aims to analyze the relationship of Brand Awareness and Country of Origin by using Self Congruity as a mediation for Purchase Intention. This causal study used a questionnaire based survey as a data collection method and was distributed to 200 respondents which is a sample of this study. The selection of this research sample used a purposive sampling technique with criteria determined by the researcher. The results showed that the three hypotheses in this study have a significant influence and two hypotheses were rejected. all indicators on the related variables can be developed using PLS data (Partial Least Square). In addition, this study shows that Self Congruity as the most influential variables affecting respondents Purchase Intention toward Wuling car.

PENGARUH ATRIBUT SUPERMARKET TERHADAP MOTIF BELANJA HEDONIK MOTIF BELANJA UTILITARIAN DAN LOYALITAS KONSUMEN Hartono Subagio
Jurnal Manajemen Pemasaran Vol. 6 No. 1 (2011): APRIL 2011
Publisher : Institute of Research and Community Outreach - Petra Christian University

Attributes Supermarket stimulate the motive shopper to buying product, the motive Consuming and buying motives are classified into Hedonic and utilitarian. The fulfilness of hedonic and utilitarian motives lead to shoppers’ loyalty to the supermarket. The purpose of the study is to review the theory of Stimulus Organism Response addressed by MehrabianRussel, the concept of shopping motive developed by Baker and Donovan, and the concept of motive shopping Hedonic by Arnold Reynold. It was Empirical study on Big Supermarket in Surabaya.The Human behavior response and perceptionalanswers as well as concerned with inter variable effects through hypothesis tests by means of SEM analysis. The maximum likelihood estimation was derived from 200 respondents. The result s of the study showed that atribute supermarket significanly affected motive Hedonic and motive Utilitarian and loyalty. The empirical findings from the study showed to motive Hedonic morestrongth impact than motive utilitarian.

PENGARUH PERCEIVED SERVICE QUALITY, PERCEIVED VALUE, SATISFACTION DAN IMAGE TERHADAP CUSTOMER LOYALTY (STUDI KASUS GARUDA INDONESIA) Hartono Subagio; Robin Saputra
Jurnal Manajemen Pemasaran Vol. 7 No. 1 (2012): APRIL 2012
Publisher : Institute of Research and Community Outreach - Petra Christian University

PT. Garuda Indonesia constitutes an owned airline that was one of the major players in the premium class airline industry in Indonesia. The subject that the writer observes is Consumer behavior, to the influence of perceived service quality and perceived value on customer loyalty with customer satisfaction and airline image of Garuda Indonesia with 200 customer Surabaya-Jakarta route, and vice versa. Analysis SEM Certainly explain the influence of perceived service quality, convenience, and catering will form the corporate image (Airline Image) and perceived value, which in turn affects customer satisfaction and loyalty Garuda Indonesia in the future. The purpose of recommendation writer is for PT. Garuda Indonesia flight airlines to evaluate and maintain the loyalty of its customers with quality service.

The Impact of Brand Awareness and Country of Origin on Purchase Intention with Mediation of Self Congruity on Chinese Brand Automotive Products Wuling Erick Setiadi; Michael Adiwijaya; Hartono Subagio
Petra International Journal of Business Studies Vol. 1 No. 2 (2018): DECEMBER 2018
Publisher : Master of Management, School of Business and Management, Petra Christian University

This study aims to analyze the relationship of Brand Awareness and Country of Origin by using Self Congruity as a mediation for Purchase Intention. This causal study used a questionnaire based survey as a data collection method and was distributed to 200 respondents which is a sample of this study. The selection of this research sample used a purposive sampling technique with criteria determined by the researcher. The results showed that the three hypotheses in this study have a significant influence and two hypotheses were rejected. all indicators on the related variables can be developed using PLS data (Partial Least Square). In addition, this study shows that Self Congruity as the most influential variables affecting respondents Purchase Intention toward Wuling car.

Efectiveness of Implemenying Qris Transacyion In Pandemic Covid-19 Hartono Subagio
Journal Research of Social Science, Economics, and Management Vol. 3 No. 2 (2023): Journal Research of Social Science, Economics, and Management
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v3i02.387

The purpose of this study is to study how widely QRIS is used among micro, small and medium enterprises (MSMEs) and how effective QRIS is in transaction processing. Reviewing the experiences of buyers and owners of micro, small and medium enterprises (MSMEs) having used QRIS has outlined the best way to use the system. This study uses a qualitative descriptive methodology. The goal of qualitative research is to bring researchers and the phenomena they study closer together in an interactive process that increases everyone's knowledge. While describing a phenomenon and its characteristics is the main goal of descriptive research. Observations, interviews, and documentation will be used to collect data, which will then be analyzed to provide solutions to the problems formulated and draw conclusions. The research findings show that first, many merchants and the general public do not understand the features and advantages of the program, the installation of a QRIS-based payment gateway for merchant transactions is still not going well. Second, the community and MSME actors are starting to switch to using QRIS because it can minimize the spread of Covid-19. Third, QRIS shows effectiveness in the transaction process during the Covid-19 pandemic which was very effective, besides that there are 2 types of transaction mechanisms using QRIS, the first is Merchant-Presented (push payment) and Customer-Presented (pull payment).

Integrating Diffusion Perspective of Total Quality Management Improvement in SMEs Indonesia Sector: a Bibliometric Analysis Hartono Subagio
Journal of Entrepreneurship and Business Vol. 4 No. 2 (2023): Journal of Entrepreneurship and Business (June)
Publisher : Program MM Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/jeb.v4i2.5476

Pupose: Constructing big potential of development by boosting up the SMEs. The SMEs seems neglected by its history as the main focus remained on public sectory. The SMEs particularuy in large scale manufacturing units beyond the government, bank, and liberalization. As the SMEs sector periodly withdraw their development because of lack skill and function. In this research, SMEs sector an object using the improvement of Entreprenurship skill by Human Capital and Social Resources, and Enterpreneurship Education. Method: This research adopts qualitative research method with Bibliometric Analysis. Bibliometric analysis defines the quality of systematic literature with periodical time and quality evidence in empirical studies. Result: Adopting the Systematic Literature and Bibliometric analysis entrepreneurship could responsibility of reality in better recognize and understand the potentional of implementation process. With an evidences by integrating diffusion perspective between Total Quality Management in Indonesia SMEs sector.

Reading Big Data by Machine Learning: The Used of Computer Science for Human Life Hartono Subagio; Rismawati Sitepu
Jurnal Penelitian Pendidikan IPA Vol. 9 No. 10 (2023): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i10.4752

Machine learning (ML) models use big data to learn and improve predictability and performance automatically through experience and data, without being programmed to do so by humans. Artificial Intelligence (AI) techniques are being increasingly deployed in finance, in areas such as asset management, algorithmic trading, credit underwriting or blockchain-based finance, enabled by the abundance of available data and by affordable computing capacity. The purpose of this study is to describe in detail how the power of artificial intelligence with its complex system can help the needs of digital technology in the banking sector. The research method used is the elaboration of great thoughts and facts about artificial intelligence. Scientific data is interpreted with analytical power that is as precise as possible, so as to produce a description that meets the logic of structured thinking. The data is taken from relevant and up-to-date literature, the work of scientists who have been disseminated in various weighty scientific publications at the world level. The report can help policy makers to assess the implications of these new technologies and to identify the benefits and risks related to their use. It suggests policy responses that that are intended to support AI innovation in finance while ensuring that its use is consistent with promoting financial stability, market integrity and competition, while protecting financial consumers. Emerging risks from the deployment of AI techniques need to be identified and mitigated to support and promote the use of responsible AI. Existing regulatory and supervisory requirements may need to be clarified and sometimes adjusted, as appropriate, to address some of the perceived incompatibilities of existing arrangements with AI applications.

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