• Journal of Distribution Science
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• v.21 no.3
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• pp.1-12
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• 2023

Purpose: This study discusses the creative industry phenomenon which has different business characteristics both from resources and production processes to distribution. The study intends to analyze the effect of entrepreneurial orientation and market orientation on business performance by using absorptive capacity as a mediator. Research design, data, and methodology: Using the quantitative method, data were collected from 97 respondents, who are managers or owners of creative industry businesses in Makassar City, South Sulawesi, Indonesia. Data analyzed used Partial Least Square - Structural Equation Model. Results: The results of this study reveal that entrepreneurial orientation has no significant effect on business performance and has indirectly a trough absorptive capacity. Market orientation has a significant effect on business performance and indirectly through absorptive capacity. Another result is that absorptive capacity has a significant effect on business performance. Conclusions: When absorptive capability stresses the assimilation and exploitation of knowledge and market intelligence that has been learned to boost business performance improvements, market orientation and entrepreneurial orientation offer knowledge and experience to business processes including the creation of value distribution in the creative industries.

• The KIPS Transactions:PartD
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• v.18D no.3
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• pp.149-156
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• 2011

Recently, enterprise systems require the necessity of integration for data sharing and cooperation. As a methodology for integration, Service-Oriented Architecture for service integration and Master Data for integration of data, which is used for service, were appeared. This paper suggests a method that operates BP(Business Process) efficiently. We make XMDR(eXtended Meta Data Registry) as knowledge-repository to support the BP and construct data hubs to operate it. XMDR manages MDM(Master Data Management) to integrate the data, resolves heterogeneity between the data and provides relationship to the business efficiently. This is composed of MDR(Meta Data Registry), ontology and BR(Business Relations). MDR describes relationship between meta data to solve structured heterogeneity. Ontology describes semantic heterogeneity and relationship between data. BR describes relationship between tasks. XMDR data hub supports the management of master data and interaction of different process effectively.

• IE interfaces
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• v.20 no.3
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• pp.387-394
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• 2007

Numerous countries promote business programs to revitalize local economy, increase employment, and nurture high-tech industries. Recently, a number of business incubators have been established and operated with aims to adapt to changing environment and increase economic competitiveness in Korea. To give satisfactory results of governmental policy, the requirement to develop the evaluation model to support effective operations of business incubators using the objective and rational criteria is growing. The purpose of this study is to develop evaluation model in Business Incubator using Data Mining Process. We suggested the evaluation model of business incubator, 'Score-5 RS' consists of making evaluation factor process using weighted sum and 5-grade classification and analyzing process by Decision Tree algorithm.

• 한국벤처창업학회:학술대회논문집
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• 2006.11a
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• pp.275-299
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• 2006

This study aims at examining the early-stage financing scale for entrepreneur to build small & medium business. The data was collected from the DART (Data Analysis, Retrieval and Transfer System) of Korean Financial Supervisory Service(FSS) in the main. The results of this study show that small & medium business needs equipment & operation financing for about 37 months extent to reach Break-Even Point. The limitations of this study are data collections from registered firms on Korean FSS primarily and no showing about the early stage financing scale for building small & Medium Business concretely. Small & Medium business entrepreneur have to make a early stage finance plan according to a necessary equipment and operating cost in their business field for 37 months extent.

• Journal of Intelligence and Information Systems
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• v.10 no.1
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• pp.27-45
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• 2004

While on-line shopping is increasing, the "Consumer Protection Law in Electronic Commerce" obliges each internet shopping mall to provide its business information. Although most internet shopping malls provide their business information in the semi-structured format on the bottom of their homepages, the attributes and expression forms of business information are different each other. It makes consumers difficult to identify their business information and lowers public confidence. Hence this study proposes three approaches - HTML-based structure, XML-based structure, and XML data island-based structure - to structuralizing business information for correct expression. The experiment results showed that the business information extraction time by XML data island-based structure is independent of the size of the web document, while the time by HTML-based structure is dependent on the size. By comparing the business information extraction times, we show that XML data island-based structure is more efficient and effective than HTML-based structure.structure.

• The Journal of Information Systems
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• v.24 no.4
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• pp.139-152
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• 2015

With the advancement of the Internet/IT technologies and the increased computation power, massive data can be collected, stored, and processed these days. The availability of large databases has brought forth a new era in which companies are hard pressed to find innovative ways to utilize immense amounts of data at their disposal. Indeed, data has opened a new age of business operations and management. There are already many cases of innovative businesses reaping success thanks to scientific decisions based on data analysis and mathematical algorithms. Big Data is a new paradigm in itself. In this article, Big Data is viewed as a new perspective rather than a new technology. This value centric definition of Big Data provides a new insight and opportunities. Moreover, the Business Analytics, which is the framework of creating tangible results in management, is introduced. Then the Internet of Things (IoT), another innovative concept of data collection and networking, is presented and how this new concept can be interpreted with Big Data in terms of the value centric perspective. The challenges and opportunities with these new concepts are also discussed.

• Journal of Smart Tourism
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• v.2 no.1
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• pp.21-31
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• 2022

This review paper aims at providing a systematic analysis of articles published in various journals and related to the uses and business applications of big data. The goal is to provide a holistic picture of the place of big data in the tourism industry. The reviewed articles have been selected for the period 2013-2020 and have been classified into 8 broad categories namely business strategy and firm performance; banking and finance; healthcare; hospitality; networks and telecommunications; urbanism and infrastructures; law and legal regulations; and government. While the categories are reflective of components of tourism industries and infrastructures, the meta-analysis is organized around 3 broad themes: preferred research contexts, conceptual developments, and methods used to research big data business applications. Main findings revealed that firm performance and healthcare remain popular contexts of research in the big data realm, but also demonstrated a prominence of qualitative methods over mixed and quantitative methods for the period 2013-2020. Scholars have also investigated topics involving the notions of competitive advantage, supply chain management, smart cities, but also ethics and privacy issues as related to the use of big data.

• Journal of Families and Better Life
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• v.18 no.2
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• pp.77-91
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• 2000

The purpose of this study is twofold: to document the current research trends, significance, and actual situation of family business in Germany, and to describe the characteristics of family business work, workers, and interactions influencing work and family functioning in Germany. For this purpose, this study reviewed the sate of family business in Germany through out theoretical approach and secondary national data. In addition, this study collected in 1998 data through face-to-face interviews with female family business managers in Germany. Results of the present study indicate that family business plays a very important role in the economy of Germany. More than 85% of all companies are family businesses, which produce over 60% of GDP in Germany. The notable characteristics of family business households were the high proportion of home owners, high education level of the family business manager, high involvement of family members in family business. Also the high work sati faction among the family members who worked in family business, the effect of family business work on family life, and effect of the family on business success were extremely positive.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.971-977
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• 2021

The purpose of this research paper is: (1) to describe the service quality index; (2) describe the data quality index; and (3) describe the anti-corruption index of BPS Trenggalek, Indonesia. The approach chosen is quantitative with the type of survey research. The primary data collection technique was mainly based on a questionnaire distributed to 40 respondents, namely BPS service users in 5 (five) categories: the private sector, the banking industry, academics, offices, or agencies in Trenggalek Regency and universities. The results showed that the quality of BPS services was good and the data quality index where the respondents were satisfied with the data presented by BPS. Meanwhile, testing the anti-corruption index shows that BPS Trenggalek is very anti-corruption in providing services to consumers. The findings of this study suggested that to improve service quality, it is necessary to pay attention to several aspects, including published service requirements, easy requirements to be fulfilled, published procedure information, clear service process flow, published service times, and costs/tariffs are communicated. This study suggests updating data, data relevance, data accessibility, and data completeness to improve data quality. Furthermore, to maintain the very anti-corruption predicate, this study suggests maintaining service by upholding the prevailing ethics and norms.

• The Journal of Society for e-Business Studies
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• v.5 no.2
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• pp.61-79
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• 2000

For CALS environment, sharing information among business processes within the enterprise and between enterprises have been increased through common database. To support integrated data environment, data of the local legacy system must coincide with data of the global system to guarantee data integrity and transparency. This study is concerned with the implementation of this distributed database system under CALS environment. Based on existing IDEF methods, we developed a modified method which newly includes concepts of the enterprise structure, the integration of legacy databases, the distribution of data, and the distributed applications .