Service providers must pay attention to customer satisfaction in their activities. They must focus on the quality of services provided and the need for innovation to increase customer value. It is important because service providers often pay little attention to the customer's perceived value in supporting service quality. The quantitative approach is used in this research. Data analysis is statistical and involves hypothesis tests. The survey is also conducted in which the data are obtained through a questionnaire. The object of research is service quality, innovation, perceived value, and customer loyalty. The research population is the customers of BPR Kedung Jaya Surabaya, with a sample of 100 respondents. The data collection instrument involves a questionnaire, documentation, and observation. The measurement scale is Likert Scale. The analysis technique in this research is a descriptive statistic and partial least square assisted by Smart PLS software. Results of the study show that: service quality has a significant effect on perceived value, innovation has a significant effect on perceived value, service quality has a significant effect on customer loyalty, innovation has a significant effect on customer loyalty, perceived value has a significant effect on customer loyalty, service quality significantly affects customer loyalty with the mediation of perceived value, and innovation significantly affects customer loyalty with the mediation of perceived value. This research implies that BPR Kedung Jaya Surabaya can use the results of this research as guidance to strengthen customer loyalty by examining all factors that influence research variables.
One of the company's goals is to increase company value. In order to achieve these goals the company must increase its profitability. To increase profitability, companies have to manage working capital effectively and efficiently. The effectiveness of working capital management can be measured using the Cash Conversion Cycle (CCC). CCC consists of Days Sales Outstanding (DSO), Days Sales Inventory (DSI), and Days Payable Outstanding (DPO). This study aims to determine the effect of the CCC and its components on company profitability. The type of data used in this study is secondary data which are collected from of corporate financial reports. The population in this study are retail trading companies listed on the Indonesia Stock Exchange during the 2015-2019 period. The data analysis method used in this study is the multiple linear regression method for panel data and simple linear regression for panel data. The results showed that partially, DSO, DSI, and CCC had a negative effect on company profitability. Meanwhile, the DPO has a positive effect on company profitability. Simultaneously, DSO, DSI, and DPO have an effect on profitability. Therefore, companies need to pay attention to the CCC and its components (DSO, DSI, and DPO) and manage it properly.
Because of app-based transportation, traditional transportation companies are being abandoned because in terms of practicality, they are less accessible to various groups of people. Therefore, traditional transportation companies compete difficultly and have financial pressure. One example of financial pressure is poor financial health. Based on the Fraud Triangle theory, it is said that if a company is under pressure, the possibility of committing fraud will increase. This study is conducted to find empirical evidence whether the level of financial health could affect the possibility of financial statement fraud. This study is expected to provide knowledge to investors and potential investors how to use the Altman's Z-Score analysis method as a measuring tool for financial health level and the Beneish M-Score as a financial statement fraud red flag measurement tool, in order to avoid fraud in the future. The research method used is the method of causality. The data collected is secondary quantitative data in the form of financial statements of companies in the land public transportation industry for the period of year 2015 until 2019. Descriptive and verificative analysis will be done on these data. After conducting the analysis, it can be concluded that the level of financial health has a significant effect on financial statement fraud indications. But there are many other factors that can explain changes in the likelihood of a company committing financial statement fraud such as opportunity, rationalization and various other types of pressure.
This review study aims to gain an in-depth understanding of the extent to which digital trends in marketing agribusiness products are under the needs of farmers who live and farm in today's digital era. We chose to analyze national and international publications to understand the objectives of the study quickly. So our step is to look for study evidence data through electronic searches on Google Scholar-based data published between 2010 and 2021 to get the latest data. Furthermore, our data analysis involves data coding, evaluation, and in-depth interpretation to obtain valid and reliable findings as expected in the study findings. Because this study was conducted during the pandemic, we tried to get secondary data and follow descriptive qualitative data experts' directions. As a result, we can conclude another way that digital marketing in marketing agricultural products is a technique that is becoming trendy in many places. The digital trend is chosen by many people because of its easy and cheap principles so that both farmers and buyers will be lucky because marketing operations have been trimmed. Thus the results of this study are helpful for many parties.
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