• Journal of Distribution Science
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• v.21 no.1
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• pp.53-63
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• 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 Digital Convergence
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• v.10 no.10
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• pp.247-259
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• 2012

The purpose of study is to advance current smartphone research past the limitation it faces being focused primarily on functional performance and to understand the causes of Smartphone diffusion. In order to do this, the dominant design concept was applied in examining the relationship between the determinants of the dominant design and the acceptance of smartphones. The research has yielded results which show that determinants such as technological superiority, number of installed based products, and availability of complementary goods have a positive effect on the intention to use smartphones and the attitude toward its use. Moreover, this study has contributed in broadening the understanding of dominant design by introducing the central concepts of dominant design which are not being dealt with in domestic studies and presenting the major variables which must be considered in the acceptance of smartphones.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.650-661
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• 2020

The digital transformation of the 4th industrial revolution is leading to changes and innovations in the global economy. Various countries are focusing on reviving their manufacturing industries and economic recovery through smart factories. The purpose of this study is to empirically identify technological determinants for the successful implementation of the smart factory and to verify teose effects on manufacturing operations and the firms' operational/environmental performances. Five factors, including sensor network, platform technology, information system, intelligent automation, and safety, were defined as core technologies. The SEM analysis results of 157 small and medium-sized manufacturing firms that have implemented smart factories are as follows. First, sensor network, platform technology, and information system had significant effects on smart manufacturing operations. Second, smart manufacturing operations have improved firm performance. This study is valuable in that it has confirmed the effectiveness of government-funded projects and systemized key technologies for implementing smart factories. Meanwhile, it is helpful for practitioners to support an efficient and effective decision-making for the new adoption.

• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.236-247
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• 2016

Considering the prevalent use of mobile devices and the mobile Internet in Korea, there should be open doors for retailers to a different type of distribution if they could find out what makes consumers satisfied with m-commerce sites as well as what makes consumers purchase from m-commerce sites. Therefore, we explored: 1) the antecedents of satisfaction with m-commerce sites and 2) the determinants of purchasers vs. browsers of m-commerce. As possible antecedents of the two dependent variables, the following were utilized in the current study: the Technology Acceptance Model (TAM), perceived shopping values, and interactivity. According to the results of this study, these variables related to the performance of mobile commerce sites (Perceived ease of use, Perceived usefulness, Synchronicity, Richness of content, and Contextual services) significantly affected satisfaction with m-commerce sites. On the other hand, the most important discriminator of an m-commerce purchaser vs. a browser was human-oriented interactivity, especially interpersonal communication among users. With the help of information technology.

• Industry Promotion Research
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• v.1 no.1
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• pp.27-33
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• 2016

This study verified the determinants of years in service of youth employee by analyzing panal data. The study results showed that sex, age, education, marital status, full-time job, wage, employment stabilization, household earned income, benefit package, fairness of performance evaluation determined years in service of youth employee. Also, years in service was longer in male, higher age, married, lower household earned income, full-time job, age-limit system, possible to work continuously, corresponding to mager, higher wage, higher job satisfaction group. This study provided practical implication to prepare effective emplyment policy for maintaining long-term and stable youth employment by confirming the determinants of years in service of youth employee.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.592-606
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• 2021

This study examines the impact of knowledge management strategies and knowledge management determinants for each type of knowledge management of a company on knowledge activities, and because each company's situation and conditions are different, it is necessary to approach each knowledge management type. The analysis was conducted using the SPSS 18.0 program targeting 81 companies that have introduced knowledge management systems or knowledge management by categorizing them into technology-oriented and combined types. The result is that Initial types are based on changes in organizational structure and active adoption of information technology, and the Organizational knowledge centers use management systems (CEO support, performance compensation system, education and training system) and infrastructure building and information technology to maximize individual knowledge. The Information technology-oriented types rely more on information technology such as infrastructure building and information technology use rather than organizational knowledge. and the Combination type is understood as an educational and training system and decentralized organizational structure for the overall expansion of the organization. Through this study, effective and significant strategies, knowledge management determinants, and knowledge activities for each type were presented.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.2
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• pp.55-68
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• 2017

This research is carried out to investigate the relationship between sustainability practices and performance in a financial sense for Malaysian Oil and Gas sector. Objectives include to study the state of sustainability disclosure among Malaysian oil and gas companies, to understand if companies that practiced sustainability had better performances to their financial bottom-line and to conduct a data analysis to understand the relationship between Environmental, social and governance performance [represented by the acronym ACSI] and financial performance. Sustainability performance is measured using ACSI checklist, which is an adaptation of the GRI 3.0 by Global reporting initiative while financial performance was measured on financial and profitability parameters namely EBITDA, EPS and PE ratio. Secondary data sources are used which were then converted into a rating scale to develop quantitative data. SPSS 21 is used for the analysis. The result shows that the majority of oil and gas companies in Malaysia had poor performance in terms of sustainability disclosure. On all three chosen profitability parameters, the companies that practiced sustainability were found to perform better than their counterparts that did not. Strong and significant relationship exists between sustainability practices and better financial performance.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.43-46
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• 2003

Based on the innovation literature, this study has identified nine variables under three categories (technological, environmental, and organizational contexts) and evaluated their influence on e-marketplace adoption and diffusion within organizations. We have also assessed whether level of e-marketplace diffusion is related to the procurement performance of the purchasing organizations.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.1
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• pp.7-18
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• 2012

So many researchers have been interested in key success factors of technological start-ups. However, even previous studies have focussed on key success factors, as their findings have not been consistent. The purpose of this study is to investigate the determinants of technological start-ups' performance. The first aim of this study is intended to explores impact of entrepreneurs' characteristics, technological capabilities and network on firm performance. The second aim is to examine the causal relationships among latent variables with firm performance and with the use of path analysis. For this study, information has been gathered through surveys from entrepreneurs of 701 Korean technological start-up companies. As for analysis of the data, SPSS 18.0 OK for Windows and AMOS 4.0 were used for testing of hypothesis. Results of the hypothesis testing are summarized as follows: First, it was found that entrepreneurs' characteristics, technological capabilities and network had statistically significant influence on firm performance. Second, entrepreneurs' characteristics had significant influence on technological capabilities and network. Third, network did not have significant influence on technological capabilities. The major contributions of this study are (1) identifying the determinants on firm performance of technology-based start-ups by means of structural equation model, (2) verifying effects on firm performance of technology-based start-ups by the variables.

• International Commerce and Information Review
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• v.11 no.4
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• pp.183-214
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• 2009

We identify key theoretical approaches, constructs, and primary variables of interest that exist in the foreign market entry mode articles. This provides fertile ground for continued development in our foreign market entry mode research. Using the integrated framework, this paper examines the determinants of foreign market entry mode choice by Korean firms and the impact of the entry mode choice on performance in a unified model. Using a database of KIS-VALUE in Korea from 2003 to 2005, we find that the hypothesized effects of related factors on entry modes are partially supported.