• Journal of Korea Trade
• /
• v.27 no.5
• /
• pp.91-112
• /
• 2023

Purpose - This study empirically investigates how the effects of localized knowledge spillovers on technology adoption are conditional on the organizational capabilities of potential adopters. Design/methodology - The empirical model utilized in this study examines how the presence of prior adopters of advanced manufacturing technologies affects a plant's technology adoption decision differently based on its organizational capabilities, measured by plant size and plant status (single-plant firm vs. multi-plant firm). Moreover, this study investigates how the scope of knowledge spillovers from prior adopters, both in terms of geographical and functional proximities, differ for plants with different organizational capabilities. Findings - The main findings of this study are as follows: 1. Although plants with lower organizational capabilities are less likely to adopt advanced technologies, such plants receive greater marginal benefits from knowledge spillovers from prior adopters in their region. 2. Plants with greater organizational capabilities can benefit from knowledge spillovers from a wider set of prior adopters. In other words, while plants with lower organizational capabilities tend to benefit from knowledge spillovers from "similar" and "local" adopters, plants with greater organizational capabilities can also benefit from knowledge spillovers from "not-too-similar" or are geographically distant prior adopters. Originality/value - While existing studies mainly focus on the effects of the various kinds of regional agglomeration, few studies investigate localized knowledge spillovers in technology adoption. Moreover, no prior studies have explored how the effects of knowledge spillovers on technology adoption depend on a plant's organizational capabilities and how the scope of knowledge spillovers differs for plants with different organizational capabilities. This study is the first to empirically investigate this topic.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.4
• /
• pp.581-590
• /
• 2021

The purpose of the research was to investigate the characteristics of technology users, their knowledge about the technology and whether that affected technology adoption, and, through the measurement utilitarian value as a mediator, to find out whether the behavior toward mobile payment technology adoption is considered most effective during the COVID-19 pandemic, especially at this research locus, Central Java Province, Indonesian Batik SME consumers. The research methodology was quantitative with data processing using Structural Equation Modeling (SEM) with the final sample of 294 respondents' answers. To the best of the researcher's knowledge, this was an initial attempt toward a holistic and integrative approach to explain the adoption of mobile payment in Indonesia with different consumer characteristics in each region of Indonesia and varying levels of knowledge about mobile payment applications. The results show that the utilitarian value as a mediating variable only affected the relationship between the characteristics of technology users and adoption behavior. The findings of this study suggest that the stronger the knowledge of technology users, the more influential the adoption behavior of the mobile payment technology for Indonesian Batik small-, and medium-sized enterprise (SME) consumers during the COVID-19 pandemic in the new normal era.

• Asia pacific journal of information systems
• /
• v.30 no.2
• /
• pp.420-438
• /
• 2020

Recently, with the advance of the wireless Internet access via mobile devices, a myriad of game development companies have forayed into the mobile game market, leading to intense competition. To survive in this fierce competition, mobile game developers often try to get a grasp of the rapidly changing needs of their customers by operating their own official communities where game users freely leave their requests, suggestions, and ideas relevant to focal games. Based on the heuristic-systematic model (HSM) and the data quality (DQ) framework, this study derives key content, non-content, and hybrid cues that can be utilized when game developers accept suggested postings in these online communities. The results of hierarchical multiple regression analysis show that relevancy, timeliness, amount of writing, and the number of comments are positively associated with mobile game developers' knowledge adoption. In addition, title attractiveness mitigates the relationship between amount of writing/the number of comments and knowledge adoption.

• Journal of Information Science Theory and Practice
• /
• v.10 no.3
• /
• pp.24-39
• /
• 2022

Online learning is becoming ubiquitous worldwide because of its accessibility anytime and from anywhere. However, it cannot be successfully implemented without understanding constructs that may affect its adoption. Unlike previous literature, this research extends the Unified Theory of Acceptance and Use of Technology with three well-known theories, namely compatibility, online self-efficacy, and knowledge sharing and acquisition to examine online learning adoption. A total of 264 higher education students took part in this research. Partial Least Squares-Structural Equation Modeling was used to evaluate the proposed theoretical model. The findings suggested that performance expectancy and compatibility were significant predictors of behavioral intention, whereas behavioral intention, facilitating conditions, and compatibility had a significant and direct effect on online learning's actual use. The results also showed that knowledge acquisition, knowledge sharing, and online self-efficacy were determinates of performance expectancy. Finally, online self-efficacy was a predictor of effort expectancy. The proposed model achieved a high fit and explained 47.7%, 75.1%, 76.1%, and 71.8% of the variance of effort expectancy, performance expectancy, behavioral intention, and online learning actual use, respectively. This study has many theoretical and practical implications that have been discussed for further research.

• Knowledge Management Research
• /
• v.16 no.1
• /
• pp.117-142
• /
• 2015

Recently, the personal cloud computing service has been being spotlighted as an individual tool of productivity enhancement. However, compared to the rosy forecast, its diffusion rate in the domestic (Korean) market is much slower than expected. In order to find the reason for the slow growth of personal cloud computing service, we attempt to identify influencing factors on user's adoption resistance, while most prior research has focused on the factors affecting its adoption. Based on both the person-technology fit model and the privacy calculus model, we propose technostress and perceived value as key antecedents of adoption resistance. In addition, we identify (1) technical (pace of change and complexity) and personal (self-efficacy) influencing factors on technostress, and (2) beneficial (perceived mobility and perceived availability) and harmful (perceived vulnerability) influencing factors on perceived value. To validate our research model, 133 individual samples were gathered from undergraduate and graduate students who had actual experience of using at least one of personal cloud computing services. The results of the structural equation modeling confirm that both technostress and perceived value have significant effects on adoption resistance, but they have different influencing mechanisms to different types of adoption resistance (indifference, postponement, and rejection). Theoretical and practical contributions are discussed in the conclusion.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.35 no.2
• /
• pp.89-114
• /
• 2010

This study empirically investigated the effects of the target costing system as well as information technology(IT) infrastructure on the knowledge management processes(i.e., socialization, externalization, combination and internalization) and the performance of a firm. This study also examined an impact of the social capital(i.e., inter-departmental communication, trust, cooperation and integration) on the adoption and development of the target costing and the IT infrastructure. The results of this study showed that inter-departmental communication, trust and integration have a significant positive impact on the adoption of the target costing. It was also found that the effects of inter-departmental communication and integration on the development of storage and transfer infrastructure are significant and positive. However, in the adoption of search infrastructure, only the impact of inter-departmental integration was significant. The results of regression analyses presented that the target costing has significant influence on the four processes of knowledge management. It was also observed that the effects of storage and transfer infrastructure on combination are significant and positive. In search infrastructure, the impact on combination and internalization was significant. According to the results of this study, it was found that when the adoption level of the target costing is high, search infrastructure mainly affects the three processes(i.e., socialization, combination and internalization). However, under a low adoption level of the target costing, the impact of storage and transfer infrastructure on the whole processes was significant and positive. Thus, it is assumed that storage and transfer infrastructure complements a low level of the target costing adoption through the active transfer and sharing of explicit and tacit knowledge.

• International Area Studies Review
• /
• v.15 no.2
• /
• pp.275-301
• /
• 2011

This study examines antecedent factors that influence subsidiaries' MNC (multinational corporation) knowledge adoption. I argue that subsidiary local environmental factors(local embeddedness, level of local competition), subsidiary organizational factors(parent investment, subsidiary CEO expatriation, scope of subsidiary value chain), and subsidiary relational factors(subsidiary autonomy, the strength of subsidiary in MNC, social capital) are the important enablers for subsidiaries to adopt knowledge from other MNC units. Especially, I use two data set (knowledge from (1) peer subsidiaries, (2) parent company) to estimate the effect of the factors. The results indicate that subsidiary local embeddedness and scope of subsidiary value chain negatively influence on subsidiary knowledge adoption from peer subsidiaries. Conversely, the strength of subsidiary in MNC and social capital positively influence on that. Subsidiary knowledge adoption from parent company is positively influenced by parent investment and social capital.

• Knowledge Management Research
• /
• v.21 no.1
• /
• pp.41-59
• /
• 2020

This explorative study examines the difference in firm performance according to the adoption of the core technology of the Fourth industrial revolution, including artificial intelligence(AI), internet of things (IoT), cloud computing, and big data technology. Additionally, we investigate the importance of internal organizational structure exclusively responsible for information security. We analyze unique microdata offered by the Korea Information Society Development Institute to examine the impact of the adoption of the new technologies and the existence of organizational structure for information protection on firm performance, i.e., firm sales. By considering the core information technology as powerful knowledge assets, we argue that the adoption of such technology leads firms to have comparative advantage comparing to the competitors. Also, we emphasize the need to consider the organizational structure suitable for information security, which can become a structural asset of a firm.

• Knowledge Management Research
• /
• v.16 no.1
• /
• pp.171-191
• /
• 2015

This paper investigates how internal knowledge dependency and its interaction with external knowledge adoption affect innovation performance in Korean companies. We categorize innovation performance into exploratory innovation and exploitative innovation. Especially, we examine business group effects as group headquarters and sister subsidiaries holistically form the boundary of the firm. Our empirical results first suggest that the degree of internal knowledge dependency is positively associated with exploitative innovation, but negatively with exploratory innovation. Second, internal knowledge dependency is more negatively related to exploratory innovation in independent firms than in business group affiliates. Third, independent firms' adoption of external knowledge tends to strengthen the positive relationship between internal knowledge dependency and exploitative innovation. Finally, exploitative external knowledge search appears to strengthen the negative relationship between internal knowledge dependency and exploratory innovation in both types of firms.

• Knowledge Management Research
• /
• v.12 no.4
• /
• pp.55-75
• /
• 2011

Scant attention has been given to analyzing how knowledge sourcing strategies affect firm performance in SMEs and what are the differences between SMEs and large firms in the patterns of knowledge sourcing strategies adoption. This study attempts to advance the current literature by examining the impact of knowledge sourcing strategies on SMEs performance. The empirical segment of our work is based on data on knowledge sourcing strategies of SMEs and organizational performance from a sample of 166 Korean firms. Our results indicate knowledge sourcing adoption patterns of SMEs are different from large firms. In addition, the results confirm that substitutability between internal- and external-oriented, person- and external-oriented sourcing strategies. This study sheds new light on knowledge management (KM) research by identifying the relationship between knowledge sourcing strategies and SMEs performance.