Relationships among Open Innovation Processes, Entrepreneurial Orientation, and Organizational Performance of SMEs: The Moderating Role of Technological Turbulence

Ju, Pei-Hung; Chen, Deng‐Neng; Yu, Yu-Chun; Wei, Hsiao-Lan

doi:10.1007/978-3-642-40823-6_12

Cited by 15 publications

(13 citation statements)

References 60 publications

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“…Reference Inbound Open Innovation [13], [26] [27], [28], [33], [34], [37], [38], [39], [40], [41], [42], [44]. [46], [47], [48], [49], [50],…”

Section: Table IX Open Innovation Manifest Open Innovation Manifestmentioning

confidence: 99%

“…[51], [52], [54], [55], [56] Coupled Open Innovation [17], [26], [38], [37], [43], [45] Outbound Open Innovation [26], [27], [37], [38], [34], [33] [37], [42], [44], [48], [49], [50],…”

Section: Table IX Open Innovation Manifest Open Innovation Manifestmentioning

confidence: 99%

“…[51], [55] Open Innovation Practice [26], [29], [44] Open Innovation Process [31], [30], [33], [38] Open Innovation Proclivity [35] Open Innovation Adoption [14] Open Innovation [15], [30], [31], [34], [35], [36] [14], [15], [27], [31], [32], [34], [37], [39], [40], [41], [42], [43], [48], [49], [50] [29], [30], [31], [33], [35], [38], [45], [47] Financial Performance [26], [38], [44], [46] This research offers several references from reputable journals explaining the relationship between open innovation and organizational performance. Table II and III also shows that the relationship between open innovation and organizational performance could also occur specifically within the organizational performance dimension itself, i.e., financial performance, operational performance, and technological performance.…”

Section: Table IX Open Innovation Manifest Open Innovation Manifestmentioning

confidence: 99%

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The Impact of Open Innovation Preparation on Organizational Performance: A Systematic Literature Review

Rumanti¹,

Rizana

Ramadhan

et al. 2021

IEEE Access

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Open innovation involves external parties of the organization in innovation activities within the organization, resulting in the flow of knowledge and information internally and externally (inbound and outbound). Given the advantages of having external support in the internal innovation process, organizations are starting to adopt the open innovation model to help them achieve and sustain innovation. The parties involved in open innovation are suppliers, consumers, competitors, and society. Such involvement will increase the organization's ability to achieve better performance. This study aims to provide a more updated, comprehensive, and clearer picture of the importance of organizational readiness to innovate, especially through open innovation. This study also seeks to present a more comprehensive identification of the impact of open innovation on company performance by using a systematic literature study. The systematic literature review conducted in this study can serve as a basis for future research that discusses policy strategies to improve organizational performance through the implementation of open innovation. Based on a systematic literature review, 33 main articles were obtained in accordance with the research objectives including different types of open innovation manifestations and specific open innovation practices implemented by organizations.

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“…Reference Inbound Open Innovation [13], [26] [27], [28], [33], [34], [37], [38], [39], [40], [41], [42], [44]. [46], [47], [48], [49], [50],…”

Section: Table IX Open Innovation Manifest Open Innovation Manifestmentioning

confidence: 99%

“…[51], [52], [54], [55], [56] Coupled Open Innovation [17], [26], [38], [37], [43], [45] Outbound Open Innovation [26], [27], [37], [38], [34], [33] [37], [42], [44], [48], [49], [50],…”

Section: Table IX Open Innovation Manifest Open Innovation Manifestmentioning

confidence: 99%

Section: Table IX Open Innovation Manifest Open Innovation Manifestmentioning

confidence: 99%

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The Impact of Open Innovation Preparation on Organizational Performance: A Systematic Literature Review

Rumanti¹,

Rizana

Ramadhan

et al. 2021

IEEE Access

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“…Absorptive capacity was measured by adapting the 10 items developed by Pavlou and El Sawy (2006). Finally, the outbound open innovation is measured based on five-items reflective scale which was adopted from Ju, Chen, Yu, and Wei (2013).…”

Section: Measurement Of Variablesmentioning

confidence: 99%

The Mediating Role of Absorptive Capacity in the Relationship between Research Community Participation and Open Innovation

2021

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This study aims to investigate the factors influencing research community participation and open innovation through the mediating role of absorptive capacity from the lens of Resource Based View and Dynamic Capability perspectives. Based on a survey of 115 senior engineering faculties from three research universities in Malaysia, this study applies the Structural Equation Modelling (SEM) to investigate the research model. The findings demonstrate that top management support has a major impact on research community participation. The findings also suggest that absorptive capacity mediates the association between research community participation and open innovation capability. This study provides a theoretical basis on the resources and capability that are pertinent for open innovation. From a practical perspective, the relationships among research community participation, absorptive capacity, and open innovation suggest how universities can promote research community participation and assess their absorptive capacity to achieve open innovation.

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“…The ability to manage waste has become one of the factors determining the success of an enterprise's economic activity (Caputo et al, 2016). The ability to implement cleaner production is a challenge for all enterprises to increase the improvement in organization, including SME (Ju et al, 2013). However, the implementation of cleaner production in SME is hindered by SME's limitation, that is capital to install waste processor; TQM 33,6 inadequate technology, lack of knowledge and skill in managing organization, lack of understanding with regard to competition and market demand and the ability to manage the organizational network with external organizations (Uziene , 2015;Zemaitis, 2014).…”

Section: Introductionmentioning

confidence: 99%

Cleaner production through open innovation in Indonesian batik small and medium enterprises (SME)

Rumanti

Sunaryo

Wiratmadja

et al. 2020

TQM

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PurposeThe purpose of this paper is to design a research model and analyze the relationship between open innovation and cleaner production. The paper maps and characterizes the conditions of open innovation against cleaner production in Indonesian batik small and medium enterprise (SME), particularly in Java and Madura. The mapping process is executed by classifying the batik SME into four quadrants. The diagram is a quadrant in which there are four parts to distinguish each of the ability of batik SMEs in understanding and achieving cleaner production through open innovation. This research will obtain a new method or model that can be applied by organizations to achieve cleaner production through an open innovation. The data is obtained from 182 batik SMEs located in Laweyan, Madura and Lasem (in Java Island, Indonesia).Design/methodology/approachOne of the problems in batik SME is the waste management from the dyeing and wax removal process. In the first stages of this research, a number of initial models were elaborated as a reference, then the results of the elaboration became a new research model. The research model that has been produced is then tested using data from respondents. Based on the test results, the model can be stated valid or not. In this study, the model is valid after testing data from 182 respondents, because all outer loading for all indicators is above 0.7. The composite reliability and AVE values of all constructs were above 0.7 and 0.5. Based on the validated research model, the data is statistically processed by using the Structural Equation Modeling (SEM). By using the SEM method and statistical software SMART PLS 3.0this research can be supported to achieve the research objectives.FindingsBased on data testing and processing, open innovation climate could predict a sustained relationship to open innovation with an accuracy rate of 0.466 and influence rate of 0.427, whereas open innovation could predict a sustained relationship to cleaner production with an accuracy rate of 0.183 and influence rate of 0.324. The relationships between open innovation climate and open innovation; including open innovation toward cleaner production, are statistically significant because all prediction values and accuracy in the model have met the criteria for measurement parameters based on the value of R2, p value and T-statistics to be stated as a significant relationship.Research limitations/implicationsThis research provides an overview of the influence and importance of open innovation in creating an environmentally friendly production process in the context of cleaner production. Cleaner production on batik SMEs can be achieved through open innovation, both for inbound open innovation and outbound open innovation. Open innovation comprehensively provides support for batik SMEs in achieving cleaner production. Open innovation can be run well and optimally if it gets support from a conducive climate open innovation. Furthermore, the implementation of cleaner production could be a guideline for the owner to minimize the waste from batik SME production, both for natural and synthetic dyes. Some limitations in these study include the absence of influence from the existing stakeholders on batik SMEs on the implementation process of open innovation; the use of the cross-sectional approach that results in the unavailability of further analysis regarding the dynamics or improvements that occur in attaining cleaner production through open innovation; and finally providing no analysis of the differences in characteristics at each location of batik SMEs.Originality/valueThe implementation of cleaner production model is considered as one of the new methods and references in conjunction with reducing the negative impact of waste toward the environment, particularly in the traditional textile industry which is limited in waste management capability.

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Relationships among Open Innovation Processes, Entrepreneurial Orientation, and Organizational Performance of SMEs: The Moderating Role of Technological Turbulence

Cited by 15 publications

References 60 publications

The Impact of Open Innovation Preparation on Organizational Performance: A Systematic Literature Review

The Impact of Open Innovation Preparation on Organizational Performance: A Systematic Literature Review

The Mediating Role of Absorptive Capacity in the Relationship between Research Community Participation and Open Innovation

Cleaner production through open innovation in Indonesian batik small and medium enterprises (SME)

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