What Makes Firms Innovative? The Role of Social Capital in Corporate Innovation

Ahn, Se-Yeon; Kim, So-Hyung

doi:10.3390/su9091564

Cited by 27 publications

(46 citation statements)

References 139 publications

(153 reference statements)

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“…According to [22], the knowledge creation process favors the development of technological innovation capabilities for processes and products, because processes and products can lead to a sustainable competitive advantage. The results of [24] demonstrated that relational and cognitive dimensions of social capital are important mediators in realizing organizational innovation performance. These studies showed the importance of innovative solutions for creating convenient process, focusing on perceived value, attracting more customers, and finally, ensuring customer retention.…”

Section: Conveniencementioning

confidence: 92%

“…So, recent studies [22][23][24] tried to explore the relationship between innovation and business competitiveness, especially for e-commerce domain. According to [22], the knowledge creation process favors the development of technological innovation capabilities for processes and products, because processes and products can lead to a sustainable competitive advantage.…”

Section: Conveniencementioning

confidence: 99%

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Relationship between Convenience, Perceived Value, and Repurchase Intention in Online Shopping in Vietnam

Phạm¹,

Tran²,

et al. 2018

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Electronic commerce (e-commerce) is an increasingly popular trend in modern economy concomitant with the development of the Internet. E-commerce has developed considerably, making Vietnam one of the fastest growing markets in the world. However, its growth rate has not matched its potential, leading to the question how online retailers could improve their practices and thus contribute to the sustainable development of emerging markets such as Vietnam. Therefore, with the goal of providing online retailers with many methods to improve their online shopping service, this study examined the direct and indirect influence of the dimensions of online shopping convenience on repurchase intention through customer-perceived value. A survey of 230 Vietnamese customers was conducted to test the theoretical model. A structural equation model was used for data analysis. The results determined that the five dimensions of online shopping convenience are: access, search, evaluation, transaction, and possession/post-purchase convenience. All dimensions have a direct impact on perceived value and repurchase intention. The results also show the important role of perceived value when a factor both directly influences repurchase intention and mediates the relationship between convenience and repurchase intention.

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Section: Conveniencementioning

confidence: 92%

Section: Conveniencementioning

confidence: 99%

Relationship between Convenience, Perceived Value, and Repurchase Intention in Online Shopping in Vietnam

Phạm¹,

Tran²,

et al. 2018

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show abstract

“…When it comes to the underlying processes, research shows that organizational learning and the underlying memory of a company resemble an individuals' learning process [15], and that a company learns and forgets through its members [16]. Studies could show the direct relation between employees' knowledge and the overall corporate knowledge [18,19]. Since both are related, they can influence each other in both directions: individual knowledge of employees can have a direct impact on corporate performance, e.g.…”

Section: Learningmentioning

confidence: 99%

“…Since both are related, they can influence each other in both directions: individual knowledge of employees can have a direct impact on corporate performance, e.g. in case of innovation [19], but also the company could influence an employee's memory by changing the work environment (e.g. using different memory cues [20]).…”

Section: Learningmentioning

confidence: 99%

Retentivity Beats prior Knowledge as Predictor for the Acquisition and Adaptation of New Production Processes

Haase¹,

Matthiesen²,

Schueffler³

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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In the time of digitalization the demand for organizational change is rising and demands ways to cope with fundamental changes on the organizational as well as individual level. As a basis, learning and forgetting mechanisms need to be understood in order to guide a change process efficiently and successfully. Our research aims to get a better understanding of individual differences and mechanisms in the change context by performing an experiment where individuals learn and later re-learn a complex production process using a simulation setting. The individual's performance, as well as retentivity and prior knowledge is assessed. Our results show that higher retentivity goes along with better learning and forgetting performances. Prior knowledge did not reveal such relation to the learning and forgetting performances. The influence of age and gender is discussed in detail.

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“…Through analyzing the influence factors of knowledge transfer in R&D alliances, Cummings and Teng [37] find that knowledge characteristics, knowledge absorption capacity, and governance structure are significant, and then put forward corresponding suggestions for knowledge cooperation in R&D alliances. Ahn and Kim [38] conduct structural equation modeling (SEM) analysis to analyze the data of 319 manufacturing firms in South Korea, and the results show that social capital plays a mediating role in the relationship between the level of individual knowledge of employees and organizations' capabilities. Based on multiple case studies of knowledge leakage in joint R&D projects in large firms in Sweden, Frishammar et al [19] propose that the dark side of knowledge transfer is knowledge leakage, which will deter knowledge sharing.…”

Section: Knowledge Sharing Behavior Among Enterprisesmentioning

confidence: 99%

Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory

Kong

Zhu

2019

Sustainability

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Knowledge sharing behavior based on the cluster innovation network has become the primary measure for enterprises to realize sustainable innovation. In order to promote the proactive knowledge sharing behavior among enterprises in the long term, the dynamic evolutionary process and law of knowledge sharing in the network need to be further studied. As different from the hypothesis of the rational man in the classical game theory, this paper establishes an evolutionary game model of knowledge sharing behavior in the cluster innovation network based on the evolutionary game theory, and discusses how the bounded rational enterprises can achieve the evolutionary equilibrium through continuously adaptive learning and strategy optimization, further explores the influence factors on the evolutionary trajectory. Combined with mathematical derivation and simulation analysis, the following results are obtained: over time, the dynamic evolution of knowledge sharing behavior in the cluster innovation network is influenced by initial states of the system, but can always reach the evolutionary stable equilibrium; factors such as synergy revenue have a positive impact on the evolutionary results, while factors such as opportunity interest have a negative impact on the evolutionary results; the factor of revenue distribution has a U-shape relationship with the evolutionary results, and the factor of direct revenue has no effect on the results. The results are expected to have an implication for improving the sustainable innovation development of enterprises in the cluster innovation network.

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What Makes Firms Innovative? The Role of Social Capital in Corporate Innovation

Cited by 27 publications

References 139 publications

Relationship between Convenience, Perceived Value, and Repurchase Intention in Online Shopping in Vietnam

Relationship between Convenience, Perceived Value, and Repurchase Intention in Online Shopping in Vietnam

Retentivity Beats prior Knowledge as Predictor for the Acquisition and Adaptation of New Production Processes

Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory

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