Original Research
Management
Rina Nopianti; Andreas Tri Panudju; Angrian Permana
Abstract
This paper aims to predict stock prices using open, high, low, close variables using artificial neural networks, especially the adaptive fuzzy neural inference system (ANFIS). Each stock has a different pattern and can be predicted if you have complete data. This study is limited by stock data for 2012-2019. ...
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This paper aims to predict stock prices using open, high, low, close variables using artificial neural networks, especially the adaptive fuzzy neural inference system (ANFIS). Each stock has a different pattern and can be predicted if you have complete data. This study is limited by stock data for 2012-2019. The survey was conducted to collect stock data from the Yahoo Finance website. The stock data used is data from 2001-2018. Learning patterns of data patterns using the Adaptive Neural Fuzzy Inference System (ANFIS) were compared with regression analysis, Mean Square Error (MSE) and Mean Prediction Error. The results show that stock price predictions using the Adaptive Neural Fuzzy Inference System (ANFIS) have a small error rate (below 1 percent). The stock price at closing is determined by the open price and the volume of the stock. The value of the highest price of the stock and the lowest value of the stock follows the determined value of the opening price. This paper contributes to existing research in economics, especially stock investment and Financial Technology.
Original Research
Management
Ahmad Azmy; Agung Priyono; Agustin Widyaningsih; Agam Sulistyo; Riri Anggraheni; Slamet Riyadi
Abstract
This study analyzes the influence of spiritual leadership and assignment complexity on employee performance through job satisfaction. Spiritual leadership variables and assignment complexity are used as predictors of employee performance. Job satisfaction as an intervening variable in the research model. ...
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This study analyzes the influence of spiritual leadership and assignment complexity on employee performance through job satisfaction. Spiritual leadership variables and assignment complexity are used as predictors of employee performance. Job satisfaction as an intervening variable in the research model. The purpose of this study is to analyze the direct and indirect effects generated by spiritual leadership and assignment complexity on employee performance through job satisfaction at Paramadina University. This study uses the Partial Least Square (PLS) method. The total respondents in this study amounted to 61 people. The sampling technique used a purposive sampling approach adapted to the needs of the study. Based on the analysis test of the Smart PLS program used, there is a direct influence of spiritual leadership on employee performance and assignment complexity on job satisfaction, both of which have a positive but not significant effect, while job satisfaction on employee performance has a negative and insignificant effect. This study only limits the variables of spiritual leadership and the complexity of the assignment which are linked through job satisfaction to employee performance. The data is limited only for lecturers and employees who work at Paramadina University as the object of research. This research develops knowledge in the field of human resource management. Both variables indicate that leadership and assignment complexity can affect employee performance at paramadina university. Job satisfaction as a control variable is able to show variables that affect employee performance.
Review Article
Management
Melaku Alemu; Shimels Zewdie
Abstract
To be successful in business the marketers must have understanding of how consumers behave on every occasion during an implicit or explicit need for a product. The knowledge of consumer behavior involves both the physical, mental and emotional process is helpful and worthwhile for the marketing institutions ...
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To be successful in business the marketers must have understanding of how consumers behave on every occasion during an implicit or explicit need for a product. The knowledge of consumer behavior involves both the physical, mental and emotional process is helpful and worthwhile for the marketing institutions to recognize how the buyer thinks, feels, and selects products from a given alternatives and how those consumers are influenced by different factors. The consumers can purchase products either through planning or impulsively on the spot decisions. Therefore, this study aimed to identify the factors that determine consumers impulse buying behavior. To achieve the stated objectives the study has employed structured systematic literature review by identifying and obtaining the per-reviewed article published since 2011 from google scholar, ResearchGate, science direct, winey online, Taylor & Francis and emerald database. From totally extracted 176 articles, 29 articles were satisfied the inclusion criteria and further reviewed for this article analysis purpose. The outcome of this study has shown that store environment related factors, demographic factors, personality traits and situational factors are influencing consumer impulse buying behavior.
Review Article
Management
Ahmad Azmy; Fidyananta Malanov
Abstract
Mastery of technology is needed in the E-Commerce industry. Productivity and performance will be benchmarks in business development. The digital-based E-Commerce industry requires employees who have the competence to use new technologies. The conceptual framework explains that the E-Commerce industry ...
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Mastery of technology is needed in the E-Commerce industry. Productivity and performance will be benchmarks in business development. The digital-based E-Commerce industry requires employees who have the competence to use new technologies. The conceptual framework explains that the E-Commerce industry must always improve the technological competence of employees. New technologies are geared towards digitizing businesses and transactions efficiently. Employees must respond quickly to rapidly changing technology changes. The process of solving business problems that are fast, responsive to change, and innovative ideas depend on mastery of technology. Business competition that has high complexity requires accurate data and information. The research process takes a literature study approach to see the implications of mastering technology on employee performance. This approach is carried out comprehensively and strategic recommendations are the results of technology to be part of employee performance. All data requirements depend on the use of technology carried out by employees. Some literature states that mastery of technology plays a role in the quality of employee performance.This study shows the direction of technology mastery on employee performance. Technology optimization will increase the probability of success in achieving business targets.
