• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.210-216
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• 2023

Demand prediction is an essential component of any business or supply chain. Large retailers need to keep track of tens of millions of items flows each day to ensure smooth operations and strong margins. The demand prediction is in the epicenter of this planning tornado. For business processes in retail companies that deal with a variety of products with short shelf life and foodstuffs, forecast accuracy is of the utmost importance due to the shifting demand pattern, which is impacted by an environment of dynamic and fast response. All sectors strive to produce the ideal quantity of goods at the ideal time, but for retailers, this issue is especially crucial as they also need to effectively manage perishable inventories. In light of this, this research aims to show how Machine Learning approaches can help with demand forecasting in retail and future sales predictions. This will be done in two steps. One by using historic data and another by using open data of weather conditions, fuel, Consumer Price Index (CPI), holidays, any specific events in that area etc. Several machine learning algorithms were applied and compared using the r-squared and mean absolute percentage error (MAPE) assessment metrics. The suggested method improves the effectiveness and quality of feature selection while using a small number of well-chosen features to increase demand prediction accuracy. The model is tested with a one-year weekly dataset after being trained with a two-year weekly dataset. The results show that the suggested expanded feature selection approach provides a very good MAPE range, a very respectable and encouraging value for anticipating retail demand in retail systems.

• Proceedings of the CALSEC Conference
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• 1997.11a
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• pp.263-268
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• 1997

Functional Modeling methodology, IDEF0 is widely used for modeling, analysis and description of enterprise system. The limitation of modeling components restricts applicability and give rise to confusion about model. In this paper, we propose new method to extend IDEF0. The first is adding modeling components which are semantic representations. In addition to ICOMs, we add the time and cost component which is required to execute the function. The second is tracing mechanism. When we need some information, we drive the functions related with the information by reverse tracing of the function which produces the information as a output and input. Through the tracing, we find out the bottleneck process or high cost process. Finally, we suggest the final decomposition level. We call the final decomposed function into unit function which has only one output data. We can combine and reconstruct some of functions because an unit function is similar to ‘lego block’. To reach the integrated system, the main problem to be solved is the integration of information produced by different functional subsystem. This can be resolved when the creation of data must be dependent on only one function. Through view integration of function output, we can guarantee the integrity of data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.2
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• pp.538-561
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• 2020

Recommender Systems (RecSys) have a major role in e-commerce for recommending products, which they may like for every user and thus improve their business aspects. Although many types of RecSyss are there in the research field, the state of the art RecSys has focused on finding the user similarity based on sequence (e.g. purchase history, movie-watching history) analyzing and prediction techniques like Recurrent Neural Network in Deep learning. That is RecSys has considered as a sequence prediction problem. However, evaluation of similarities among the customers is challenging while considering temporal aspects, context and multi-component ratings of the item-records in the customer sequences. For addressing this issue, we are proposing a Deep Learning based model which learns customer similarity directly from the sequence to sequence similarity as well as item to item similarity by considering all features of the item, contexts, and rating components using Dynamic Temporal Warping(DTW) distance measure for dynamic temporal matching and 2D-GRU (Two Dimensional-Gated Recurrent Unit) architecture. This will overcome the limitation of non-linearity in the time dimension while measuring the similarity, and the find patterns more accurately and speedily from temporal and spatial contexts. Experiment on the real world movie data set LDOS-CoMoDa demonstrates the efficacy and promising utility of the proposed personalized RecSys architecture.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.29-40
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• 2020

The research aims to explore the links among corporate governance, corporate social responsibility, and earnings management, considering vital roles of each component in Vietnam. There were 500 questionnaires provided to the targeted enterprises, where there were 150 enterprises in Ho Chi Minh Stock Exchange, 150 enterprises in Hanoi Stock Exchange, and 200 enterprises in the unlisted public company market. Of the distributed questionnaires, only 289 replies offered needed information for analyses. The data derived from these firms was based on their annual or sustainability statements that were retrieved from the websites. This research used a six-year rolling window to calculate earnings management. To compute that variable, lagged year information was included, so the data from 2011 to 2017 was needed to collect. The empirical results show that corporate governance mechanism is a significant moderation in the positive link between good corporate social responsibility and earnings management. Furthermore, corporate social responsibility and earnings management also play mediating roles in the associations among corporate governance, corporate social responsibility, and earnings management. This project recommends that corporate governance mechanism is an essential driver of the managerial behaviors in social responsibility and ethical accounting practices, which are in turn mediators in the joint research model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.5
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• pp.1129-1137
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• 2013

Cloud storage system that cloud computing providers provides large amounts of data storage and processing of cloud computing is a key component. Large vendors (such as Facebook, YouTube, Google) in the mass sending of data through the network quickly and easily share photos, videos, documents, etc. from heterogeneous devices, such as tablets, smartphones, and the data that is stored in the cloud storage using was approached. At time, growth and development of the globally data, the cloud storage business model emerging is getting. Analysis new network storage cloud storage services concepts and technologies, including data manipulation, storage virtualization, data replication and duplication, security, cloud computing core.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.8-16
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• 2021

The tourism industry is influenced by a large number of factors that affect the development scenarios of the tourism in different ways. At the same time, tourism is an important component of the national economy of any state, forms its image, investment attractiveness, is a source of income and a stimulus for business development. The aim of the article is to conduct an empirical study to identify the importance of cognitive determinants in the development of tourism. The study used general and special methods: systems analysis, synthesis, grouping, systematization, cognitive modeling, cognitive map, pulse method, predictive extrapolation. Target factors, indicators, and control factors influencing the development of tourism in Ukraine are determined and a cognitive model is built, which graphically reflects the nature of the influence of these factors. Four main scenarios of the Ukrainian tourism industry are established on the basis of creating a matrix of adjacency of an oriented graph and forecast modeling based on a scenario approach. The practical significance of the obtained results lies in the possibility of their use to forecast the prospects of tourism development in Ukraine, the definition of state policy to support the industry that will promote international and domestic tourism.

• The Journal of Industrial Distribution & Business
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• v.12 no.10
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• pp.31-41
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• 2021

Purpose: This study estimates the threshold values of institutional quality through investigating the non-linear effect of six sub-indices of Worldwide Governance Indicators on FDI inflows in 34 developing countries in Asia and Eastern Europe over the period from 2000-2017. Research Design, data and methodology: GMM EGLS is employed which does not include the lagged value of the dependent variable as an independent variable. As a proxy for the institutional quality, either one of the six sub-indices of WGI from World Bank or the composite index obtained through a principal component analysis is used in a separate model. Results: An improvement in institutional quality, when the quality stays below a certain threshold level, does not increase FDI inflows, and only when the quality is above the threshold, it can positively influence FDI inflows. The threshold values of political stability and absence of violence, government effectiveness, and rule of law are relatively higher than those of the other dimensions of WGI. Conclusion: Institutional quality of the developing economies of Asia and Eastern Europe has a non-linear effect on FDI inflows. The target countries need to upgrade their institutional quality above the threshold in order to attract more FDIs.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.231-241
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• 2021

The purpose of this study is to apply Structural equation modeling (SEM) analysis with Generalized Structured Component Analysis (GSCA) and translate the effect of Spiritual Marketing and Entrepreneurial Orientation on Sustainable Competitive Advantage with Marketing Capabilities as Mediation, especially for General BBM marketing at PT. Pertamina (Persero). The quantitative approach in this study uses a survey method by taking samples from the population. The survey was conducted by distributing questionnaires to respondents. Data analysis was performed using SEM and analyzed using the GSCA model. The population of this study consisted of 3,207 workers in central and regional marketing offices (Marketing Operation Region (MOR) spread throughout Indonesia. Therefore, a sample of 356 respondents was taken according to the Slovin formula. Spiritual marketing and entrepreneurial orientation directly influence the ability to improve Innovation which directly influences sustainable competitive advantage. Therefore, to develop a sustainable competitive advantage in marketing Pertamina's General BBM, it is necessary to implement spiritual marketing and improve entrepreneurial orientation. The novelty in this study lies in the unprecedented research on the role and position of spiritual marketing towards marketing capabilities and sustainable competitive advantage, combined with entrepreneurial orientation variables.

• Journal of Distribution Science
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• v.14 no.7
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• pp.91-100
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• 2016

Purpose - Recently actively growing franchise systems distribution channel system in which franchise headquarter compared with franchise occupies an important place in distribution channel. Due to this, franchise and franchise headquarter are interdependent on task and in this situation the goal they go after, motivation and objective are probably inconsistent. If so, possibility to participate goal setting process or operating activity of opposite side is becoming bigger and in the end conflict may generate. The purpose of this study is to examine the role of the supervisor's attitude and expertise as moderating factors in the relationship between goal-incongruity/coercive power/role-incongruity and the conflict perceived by franchisee. Research design, data and methodology - This study was intended to verify how the supervisor's attitude and expertise as moderating factors in the relationship between goal-incongruity/coercive power/role-incongruity and the conflict perceived by franchisee. In order to achieve the purpose of this study, some study models and hypotheses have been established through theoretical examinations. Then, using these scales, the researcher completed the questionnaire survey. To test our hypotheses, the survey was conducted from March 9, 2016 for 20 days by random sampling, The study was implemented through a descriptive survey method using a self-administered questionnaire. A survey of 124 restaurant franchisee across Seoul and Gyeonggi Province was performed. A total of 124 completed responses were analyzed. In this study, I used SPSS 22.0 to analyze data and did frequency analysis to see demographic, and general features of the respondents; also did exploratory factor analysis to examine the validity of the items of measurement. Factor analysis was first calculated at a minimum, the number of factors, principal component analysis used when variables are committed to maximising the information with (principle component analysis) and the rotation of factors were angry about the great variable factors than 1.0 by applying Varimax rotation. In addition, I used the value of Cronbach's (Alpha) to examine the reliance of questionnaire items, final analysis the reliability factor can be found both high reliability hayeoteumeuro exceeds over 0.6 and did Multiple regression analysis to test hypothesis and also did hierarchical regression analysis to examine moderating effect. Results - To analyze the proposed model, according to the analysis result, it was found that the influence of goal-incongruity, coercive power, and role-incongruity on the perceived conflict of franchisee is moderated by the supervisor's attitude and expertise. That is, the more the supervisor's attitude and expertise were positive, the more the conflicts of the goal-incongruity, coercive power, and role-incongruity were decreased. It also confirmed previous research's finding that goal-incongruity, coercive power, and role-incongruity positively influence on the conflict. Conclusions - According to the results of this research which reduces the conflict of franchise from the in consistent goal; coercive power, and inconsistent role of superiors, it provides very important implications for franchise headquarter which has franchise system and also give them some suggestion about how to recruit superiors and what kind of training may be fit for the superiors.

• Journal of Technology Innovation
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• v.26 no.4
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• pp.199-232
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• 2018

There are increasing needs for understanding and fathoming of business management environment through big data analysis at industrial and corporative level. The research using the company disclosure information, which is comprehensively covering the business performance and the future plan of the company, is getting attention. However, there is limited research on developing applicable analytical models leveraging such corporate disclosure data due to its unstructured nature. This study proposes a text-mining-based analytical model for industrial and firm level analyses using publicly available company disclousre data. Specifically, we apply LDA topic model and word2vec word embedding model on the U.S. SEC data from the publicly listed firms and analyze the trends of business topics at the industrial and corporate levels. Using LDA topic modeling based on SEC EDGAR 10-K document, whole industrial management topics are figured out. For comparison of different pattern of industries' topic trend, software and hardware industries are compared in recent 20 years. Also, the changes of management subject at firm level are observed with comparison of two companies in software industry. The changes of topic trends provides lens for identifying decreasing and growing management subjects at industrial and firm level. Mapping companies and products(or services) based on dimension reduction after using word2vec word embedding model and principal component analysis of 10-K document at firm level in software industry, companies and products(services) that have similar management subjects are identified and also their changes in decades. For suggesting methodology to develop analysis model based on public management data at industrial and corporate level, there may be contributions in terms of making ground of practical methodology to identifying changes of managements subjects. However, there are required further researches to provide microscopic analytical model with regard to relation of technology management strategy between management performance in case of related to various pattern of management topics as of frequent changes of management subject or their momentum. Also more studies are needed for developing competitive context analysis model with product(service)-portfolios between firms.