Investor has many options in an investment with the current number of investment instruments. Previous studies of retail investor behavior have examined motivation from economic perspectives or studied relationships between economic, behavioral and demographic variables. Examination of the various utility-maximization and behavioral variables underlying individual investor behavior provides a more comprehensive understanding of the investment decision process. This research will examine the seven factors that considered investors' decisions to invest, and investor behavior in taking the decision to invest. The data used are primary data that obtained by sending questionnaires through via email at Danareksa investors domiciled in Salatiga and Semarang. The analysis method used is tabulation frequencies and cross tabulation (Crosstab). Based on the results of the research, it is known that the factors that considered investor' decisions is Neutral Information and Accounting Information factor. For the result of demographic aspects effect research against investment decision is investor who are aged 25-29 and 50-54 years which is considered all of the factors. While for sex, female consider many factors than male. For educational level with high educational level makes the investor pay attention to the factors that associated with investment decisions, and investors who invest for 1-3 years old considering many factors before making investment decisions.

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Purpose Innovation in digital technologies has been the main force in promoting growth and inclusion. However, the impact of such innovations remains ambiguous. Within this context, this study aims to analyze the distribution of digitally empowered peer-to-peer (P2P) lending in Indonesia. Design/methodology/approach This study uses a quantitative approach to estimate the impact of technological innovation in promoting economic development. In particular, this study employs empirical panel data from 135 financial technology (FinTech) companies from 2015 to 2019 and use the dynamic panel threshold regression approach. This study collects secondary data to build the estimated model. Findings Contrary to conventional wisdom, this study’s evidence suggests that there is a delayed effect between the contribution of P2P lending by FinTech firms on economic growth in the country. While the immense growth of FinTech seems promising, the findings indicate that FinTech is far from its optimal point. This study calculates the optimal combination between productive and consumptive lending and between Java and non-Java. In view of this finding, this study proposes strategies to effectively distribute lending and bring about the expected benefit to the economy. Practical implications Since the contribution of P2P lending on economic development has not reached its optimum, the findings expose the limitation of current technological innovation in the financial sectors. In this sense, P2P penetration on the financing market needs encouragement. The calculations for optimal allocation between productive and consumptive and between Java and non-Java provide guidance to policymakers. This study helps practitioners to shape strategy and to begin experimenting with different approaches to distribute loans effectively. Originality/value To the best of the authors’ knowledge, there are no empirical studies that examine the impact of emerging FinTech companies in promoting economic growth and financial development. The findings close this research gap, especially in regard to innovation management literature, and provide insights for practitioners, policymakers and regulators.

The phenomenon of women working to fulfill their families' needs in times of economic crisis is very interesting. This research focused on women co-entrepreneur who cooperated with their husbands in running their business. This research has been undertaken in Tuntang Semarang. The method of collecting data utilized descriptive statistic with questionnaire and indepth interview with key persons.Findings examined whereas women co-entrepreneurs have barrier to operate their business like season, raw materials, financial capital and managerial, they have motivation to work due to improving their family prosperity.

The aim of this research is to analysis relationships of demographic factor towards mental accounting inusing credit card. Demographic factors which use in this research is sex, age, and income. Researcher takesthe sample from the employees of Bumi Arta bank, Tbk. Surakarta which have and use credit card. To analysisthe primary data, the writer use chi-square test as a tool. The result of this research shows that sex and incomehave relationships on mental accounting in using credit card.Keywords : Demographic factors, mental accounting, credit