• Journal of Navigation and Port Research
• /
• v.44 no.4
• /
• pp.319-325
• /
• 2020

The Korean government has been pursuing many supporting programs to enhance the competition of water transportation companies in recent years. To implement the policies effectively, which needs its monitering and evaluates about their business performance. The purpose of this study was to evaluate the business performance of water transportation company groups and determine the outranking between the groups using the Integrated Fuzzy AHP-PROMETHEE.. To achieve this purpose, first, the companies were classified into seven alternative company groups and the criteria for their evaluation was extracted Second, the weights of the criteria, by maritime and port expert survey, were calculated using the Fuzzy AHP. This paper, finally, determined the total priority orders of their company groups as the link Fuzzy PROMETHEE II with weights of the criteria and the local priority orders between them using the Fuzzy PROMETHEE I. In the proposal for this model, thus was collected four criteria such as growth ability, beneficial ability, technical ability, and productive ability. Through the result of this evaluation, the other marine transportation services group was determined as the highest outranking but the inland passenger & cargo transportation services group was lowest. Thus, the developing plan of the productive ability for the other marine transportation services group should be reviewed to continue its good performance, and all off the criteria for the inland passenger & cargo transportation services group to raise the performance should be reviewed.

• The Journal of Information Systems
• /
• v.16 no.4
• /
• pp.269-286
• /
• 2007

Business Incubators(BI) guide starting-up firms through their growth process and as such constitute a strong instrument to promote innovation and entrepreneurship. This study classified the incubating services into communication, physical facilities, human resources, marketing, financial, legal, technology, and networking services. The research problem was tested with data from 103 BI centers and 561 starting-up firms in BI. The results from the survey are as follows: First, incubating services to important for the BI's performance are networking, communication, human resources, physical facilities, and marketing services. Second, the incubating services to satisfy on the firms in the BI are financial, human resources, marketing, communication, networking, and physical facilities services. Third, there are the differences between BI center and the firms in the BI by each incubating service except communication service. Finally, the results of MSEM(Multi-group Structured Equation Modeling) indicate the communication and networking services are more strongly affected to the performance at the BI centers. Vice versa, the marketing and financial services are more strongly affected to the satisfaction at the firms in the BI centers. Starting-up firms in business incubators showed strong desire to receive better support in such fields as marketing and financial services. BI needs to recognize such demand and provide improved services in such areas. Starting-up firms did not recognize the utility and importance of services in networking with other firms and supporting human resources. BI needs to promote services in such areas. Concerning communication services and physical facility support service, both BI and starting-up firms showed satisfactory levels of services.

• Asian Journal of Innovation and Policy
• /
• v.2 no.1
• /
• pp.63-96
• /
• 2013

There is the need for performance evaluation and the identification of key success factors for utilizing technology roadmaps (TRM), but relevant research does not yet exists in this field. In Korea, the Small and Medium Business Administration has implemented the "Support Program for the Individual Company Technology Roadmaps" to promote the establishment of technology development strategies by SMEs. This study developed the framework and indices for performance analysis, designed and implemented survey for TRM performance analysis, and analyzed TRM performance of the companies that have participated in the above program from 2008 to 2011. This study compared the supported 97 companies and 102 companies not supported and analyzed quantitative and qualitative performance and satisfaction levels among the supported companies to compare low-performance companies and high-performance companies. This study aims to examine the KSF of TRM in terms of input and process. Also we suggested significant insights into the performance of TRM in terms of output.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.11
• /
• pp.1021-1031
• /
• 2020

This study aims to invest in empirical relationships in a model that becomes the process of Team-Performance due to participation in practical training through causality between Training Effectiveness variables, soft-skill competence, Employee-Creativity, and team performance. This study uses a quantitative approach. The analytical tool used is structural equation modeling (SEM) using AMOS version 23 software. Accidental sampling technique is used to collect the sample. As many as 202 respondents filled up a survey questionnaire with complete and valid answers. This study's results significantly contribute to fill the gap of inadequate empirical evidence that can answer critical questions about the missing link between training and employee-performance, more specifically between training-effectiveness and team-performance. The results showed that practical training would encourage employees' soft-skill competence, improve Employee-Creativity, and improve Team-Performance. Furthermore, training-effectiveness also plays a significant role in enhancing employee-creativity and helping in optimal team-performance. This study also found that the relationship between employee-creativity and team-performance did not show positive and significant results; therefore, empirically, it did not support the hypothesis built in this study. Practical training targeted towards increasing soft-skills and creativity is a fundamental reason which not only aims to contribute toward organizational performance but also provides personal feedback for self-development.

• Journal of Distribution Science
• /
• v.21 no.1
• /
• pp.53-63
• /
• 2023

Purpose: Big Data analytics (BDA) has been recognized to improve firm performance because it can efficiently manage and process large-scale, wide variety, and complex data structures. This study examines the determinants of Big Data analytics adoption toward marketing and financial performance of global logistic companies in Thailand. The research framework is adopted from the technology-organization-environment (TOE) model, including technological factors (relative advantages), organizational factors (technological infrastructure and absorptive capability), environmental factors (industry competition and government support), Big Data analytics adoption, marketing performance, and financial performance. Research design, data, and methodology: A quantitative method is applied by distributing the survey to 450 employees at the manager's level and above. The sampling methods include judgmental, stratified random, and convenience sampling. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results: The results showed that all factors significantly influence Big Data analytics adoption, except technological infrastructure. In addition, Big Data analytics adoption significantly influences marketing and financial performance. Conversely, marketing performance has no significant influence on financial performance. Conclusions: The findings of this study can contribute to the strategic improvement of firm performance through Big Data analytics adoption in the logistics, distribution, and supply chain industries.

• Journal of the Korean Society of Food Culture
• /
• v.22 no.2
• /
• pp.191-200
• /
• 2007

This study was designed to investigate the correlation between perceived TQM performance and organizational culture of dietitians. The objective of the study is to help the management of foodservice by providing a direction which will elevate perceived TQM performance of dietitians and presenting plans which will ensure effective dietitians. Questionnaires handed out to 308 dietitians worked in institutional foodservice operation including elementary, middle and high schools, hospitals, business and industries. In terms of TQM importance and performance, the more important dietitians perceived, the higher their performance level rose. Data form the IPA, external and internal customer satisfaction, executive ability, communication system and technology, information technology and application ability, food process, strategy, and leadership were required further improvement by dietitians. Of present organizational culture model, human relations model and open systems model were more likely to be adopted by dietitians in middle and high schools. According to the type of foodservice management, the open systems model was more preferred by dietitians from self-operated operations rather than respondents from contracted operations. Canonical correlation analysis between TQM performance and organizational culture showed canonical correlation to be higher (canonical correlations coefficient: .66). In conclusion, TQM performance-organizational culture showed higher canonical correlation. In the organizational culture, foodservice operation is capable of improving the aims for the rational goal model and the open systems model. The results showed that TQM performance and organizational culture had significant relationship, especially positive organizational culture emphasizing on internal process and rational goal model would have influence on TQM performance of dietitians. Foodservice operation, however, should recognize importance of open and development culture to improve dietitians' TQM performance. To apply open system foodservice organization should encourage dietitian and foodservice employees to challenge and compete for the works, Moreover, organizational effort such as information exchange program and support system should be established.

• Journal of Information Technology Services
• /
• v.18 no.2
• /
• pp.143-159
• /
• 2019

Machine learning (ML) is a method of fitting given data to a mathematical model to derive insights or to predict. In the age of big data, where the amount of available data increases exponentially due to the development of information technology and smart devices, ML shows high prediction performance due to pattern detection without bias. The feature engineering that generates the features that can explain the problem to be solved in the ML process has a great influence on the performance and its importance is continuously emphasized. Despite this importance, however, it is still considered a difficult task as it requires a thorough understanding of the domain characteristics as well as an understanding of source data and the iterative procedure. Therefore, we propose methods to apply deep learning for solving the complexity and difficulty of feature extraction and improving the performance of ML model. Unlike other techniques, the most common reason for the superior performance of deep learning techniques in complex unstructured data processing is that it is possible to extract features from the source data itself. In order to apply these advantages to the business problems, we propose deep learning based methods that can automatically extract features from transaction data or directly predict and classify target variables. In particular, we applied techniques that show high performance in existing text processing based on the structural similarity between transaction data and text data. And we also verified the suitability of each method according to the characteristics of transaction data. Through our study, it is possible not only to search for the possibility of automated feature extraction but also to obtain a benchmark model that shows a certain level of performance before performing the feature extraction task by a human. In addition, it is expected that it will be able to provide guidelines for choosing a suitable deep learning model based on the business problem and the data characteristics.

• The Korean Journal of Franchise Management
• /
• v.12 no.2
• /
• pp.23-33
• /
• 2021

Purpose: The purpose of this study is to provide basic data such as development of sustainable support policies and performance management evaluation to support sustainable management of domestic franchises by deriving the sustainable growth cycle of domestic franchises. Research design, data, and methodology: This study is based on systematic review study. We combined search terms such as "Start-up", "Sustainability" and "Success" with four databases, RISS, KISS, e-article and DBpia and searched a total of 1,219 articles published by April 21, 2021. In the process, 35 studies were selected and analyzed after an expert review, excluding documents whose overlapping documents, gray zones (e.g., reports, conference presentations, etc.), degree papers, foreign language literature, and dependent variables were not related to the Sustainability factors. Using ERIS model, which is applied to research on the results of startup, and the franchise's growth cycle, which reflects the growth stage of franchises, we analyzed the factors behind the sustainability of franchise. Result: The results of the study are as follows. First, research on the sustainability of franchise has continued since 2009 in Korea, and has been conducted in various fields such as social welfare in addition to venture, start-up and management. Second, sustainability factors of franchise were analyzed from the ERIS performance model indicating the performance of venture, and the 68 subfactors were derived. Third, it is confirmed that there are important factors that affect the sustainable growth of franchise startups in each franchise's growth cycle. Conclusions: It is significant that through this study, we provided better understanding of the factors that sustain sustainability of franchises, policy suggestions, and presented the direction of future study. Theoretical suggestion is that the main reason for the continuous growth of franchise in each domestic franchise is based on the ERIS performance model. The practical implication is that the headquarters and Franchisor can use it to establish and evaluate performance indicators based on the business growth cycle. The results of this study are expected to be used as basic data for development and performance management evaluation of franchise start-up support policies to support the sustainable management of domestic franchises.

• Journal of Digital Convergence
• /
• v.13 no.6
• /
• pp.113-124
• /
• 2015

Convergence-based Smart Work in Korea started from 2010 with a purpose to improve work-life balance. Up to now the previous research on Smart Work has been studied in the context of the pre-adoption or the adoption stage, and shows some limitations not finding out the effort to manage change, the issues occurred in the process of adopting Smart Work, and the performance after adopting Smart Work. The period after adoption is when users continue to use ICT and intended objectives can be accomplished. Therefore, this study investigated the process that the organizations adopting Smart Work have overcome spatial and temporal constraints and the performance that they have achieved after adopting it. Though the framework integrating time-geography theory with technology acceptance stage, this research interviewed four managers of three organizations being responsible for adopting and operating Smart Work and provided its adopting process and performance of each organization.

• Journal of Technology Innovation
• /
• v.25 no.4
• /
• pp.313-340
• /
• 2017

This paper explores the interaction between innovation intermediaries and firms' absorptive capacities and performance from the perspectives of regional innovation system and innovation cluster. This paper is an empirical study for drawing two research questions by examining firms in Daedeok Innopolis. First, does the relationship between firms and innovation intermediaries have a significant effect on the absorptive capacity and performance of the firm? Second, does absorptive capacity mediate the relationship between innovation intermediaries and performance of the firm? According to our analysis, innovation intermediaries have a positive effect on firms' absorptive capacity, as well as innovation and business performance of firms. Also the absorptive capacity plays a significant mediator role in this intermediation process. This paper implies that the firms could expand opportunities and build competitive advantage by fully understanding the innovation process and the interaction between innovation intermediaries and firms in this innovation process.