A dynamic framework for analyzing technology standardisation using network analysis and game theory

Kim, Keungoui; Jung, Sungdo; Hwang, Junseok; Hong, Ahreum

doi:10.1080/09537325.2017.1340639

Cited by 17 publications

(8 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hung et al (2016) established the notion of computer and online self-efficacy, which combines computer and internet self-efficacy. This notion refers to students' technological knowledge, abilities, attitudes, and competencies when it comes to using technology to achieve educational goals and objectives in Universities (Hong & Kim, 2018).…”

Section: Online Learning Readinessmentioning

confidence: 99%

Pre-service Teachers’ Readiness on Online Learning and their 21st Century Pedagogical Skills

Malabanan¹,

Briones²,

Madrideo³

2022

IJEMDS

View full text Add to dashboard Cite

This study looked at the online learning readiness and 21st century pedagogical skills among pre-service teachers of a state university in the Philippines during the school year 2021-2022. The descriptive-correlational method was applied through an adapted survey questionnaire administered to 28 pre-service teachers. The findings revealed that pre-service teachers were ready for online learning in terms of computer/internet self-efficacy, self-directed learning, learner control, motivation for learning, and online communication self-efficacy. They were also equipped with 21st century pedagogical skills such as information and communication technology skills, life-long learning skills, flexibility skills, creative problem-solving skills, and critical thinking skills. The findings also indicated a substantial relationship between the pre-service teachers’ readiness in online learning and their 21st century pedagogical skills. The study suggests that universities may create appropriate provisions to provide their faculty members with the necessary professional development training opportunities to raise awareness and improve e-pedagogical skills.

show abstract

Section: Online Learning Readinessmentioning

confidence: 99%

Pre-service Teachers’ Readiness on Online Learning and their 21st Century Pedagogical Skills

Malabanan¹,

Briones²,

Madrideo³

2022

IJEMDS

View full text Add to dashboard Cite

show abstract

“…Chen et al, 2019; X. Gao, 2014; Jho, 2007; Jiang et al, 2018), alliance factors (Jho, 2007; Kim et al, 2018; Uotila et al, 2017), and government factors (J. Gao et al, 2019; Jho, 2007; Wiegmann et al, 2017; R.…”

Section: Discussionmentioning

confidence: 99%

How Does Socio-technical Landscape Affect the Formation of Technical Standards?

Liang,

Mao,

Tan

et al. 2023

Sage Open

View full text Add to dashboard Cite

The formation of technical standards is a complex process that involves the integration of various technical resources and organizational resources. It is influenced by multiple factors. This paper focuses on four independent variables, namely market size, economic environment, infrastructure construction, and government support, which are regarded as different dimensions of the socio-technical landscape. Additionally, R&D investment is introduced as a mediator variable to construct a model that examines the role of the socio-technical landscape in the formation of technical standards. Empirical tests are conducted using relevant data from the 4G technology in China’s mobile communication industry. The study reveals that there is a positive causal relationship between market size, economic environment, infrastructure development, government support, and technology standards. Furthermore, it finds that R&D investment plays a significant mediating role between the economic environment and technology standards, infrastructure development and technology standards, and government support and technology standards. These findings provide valuable insights for enterprises and governments in promoting the formation of technical standards.

show abstract

“…For instance, the proportion of IPC A owned by firm i in the semiconductor manufacturing industry implies the firm’s technological effectiveness in the technological area of IPC A. Lastly, firm‐level TC capability is measured using the abovementioned calculation results. Kim et al () introduced a way in which to measure a firm’s technological competitiveness by multiplying its proportion of IPC by the sum of the three centrality indices. Similarly, the present study derives the firm‐level TC capability indices by summing the product of the proportions of each firm’s owned IPC and the centrality values of each IPC (Equations ()()).…”

Section: Methodsmentioning

confidence: 99%

“…The possession of a core technological component implies greater potential for achieving innovation (Ahuja, ). From a TC perspective, therefore, a network’s structural information is an important means of estimating a firm’s innovation capability (Chiu, ) and technological competitiveness (Kim et al, ). In an alliance network, more alliance network resources provide firms with greater opportunities to acquire and exchange resources (Srivastava et al, ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Tseng et al () showed that firms with higher centrality and density in citation networks have greater innovation activity. Kim et al () found that a firm’s strategic tendencies and advantages can be observed, with its technology competitiveness and attractiveness derived from technology network indices. Degree centrality (Equation ()) determines whether a certain node is likely to be positioned at the centre of a network (Freeman, ).…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Technology convergence capability and firm innovation in the manufacturing sector: an approach based on patent network analysis

2018

Self Cite

View full text Add to dashboard Cite

As a consequence of the convergence between manufacturing technology and the foundation technologies of Industry 4.0, it is becoming more important for firms to formulate an innovation strategy for their technological capabilities. In this context, the present study measures firm-level technology convergence (TC) capability using patent network analysis. A firm's TC capabilities are measured using three centrality indices pertaining to a patent network, which is constructed based on the relationship between patents and their international patent classification. For the empirical analysis, panel regression is conducted to observe the effect of TC capabilities on innovation for the top 30 firms in four manufacturing industries. We find that the TC degree positively influences the firms' overall innovation, namely their total number of patents, and negatively influences their convergent innovation, calculated as the ratio between the number of TC patents and the total number of patents, while the effect of TC betweenness is the opposite. These findings imply that while concentrating on similar technologies may promote quick technology application, it could hamper the enhancement of a TC's potential. To promote TC, a firm should thus develop technologies more likely to be involved in TC.

show abstract

A dynamic framework for analyzing technology standardisation using network analysis and game theory

Cited by 17 publications

References 46 publications

Pre-service Teachers’ Readiness on Online Learning and their 21st Century Pedagogical Skills

Pre-service Teachers’ Readiness on Online Learning and their 21st Century Pedagogical Skills

How Does Socio-technical Landscape Affect the Formation of Technical Standards?

Technology convergence capability and firm innovation in the manufacturing sector: an approach based on patent network analysis

Contact Info

Product

Resources

About