Knowledge Sharing Risk Warning of Industry Cluster: an Engineering Perspective

Fang, Yongheng; Qian, Liang; Jia, Zhouping

doi:10.1016/j.sepro.2011.10.055

Cited by 8 publications

(6 citation statements)

References 1 publication

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“…Knowledge sharing among organizations has practical significance for reducing the cost of knowledge acquisition, enhancing the synergy between the organizations, improving the ability of innovation and promoting the overall competitiveness of the participating organizations (Fang et al, 2011). In the information security domain, an exchange of knowledge between experts would be desirable in order to prevent developing the same security programs by independent persons/organizations over and over again.…”

Section: Challenge 5: Knowledge Sharingmentioning

confidence: 99%

Current challenges in information security risk management

Fenz

Heurix

Neubauer³

et al. 2014

Information Management &Amp; Computer Security

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Purpose – The purpose of this paper is to give an overview of current risk management approaches and outline their commonalities and differences, evaluate current risk management approaches regarding their capability of supporting cost-efficient decisions without unnecessary security trade-offs, outline current fundamental problems in risk management based on industrial feedback and academic literature and provide potential solutions and research directions to address the identified problems. Despite decades of research, the information security risk management domain still faces numerous challenges which hinder risk managers to come up with sound risk management results. Design/methodology/approach – To identify the challenges in information security risk management, existing approaches are compared against each other, and as a result, an abstracted methodology is derived to align the problem and solution identification to its generic phases. The challenges have been identified based on literature surveys and industry feedback. Findings – As common problems at implementing information security risk management approaches, we identified the fields of asset and countermeasure inventory, asset value assignment, risk prediction, the overconfidence effect, knowledge sharing and risk vs. cost trade-offs. The reviewed risk management approaches do not explicitly provide mechanisms to support decision makers in making an appropriate risk versus cost trade-offs, but we identified academic approaches which fulfill this need. Originality/value – The paper provides a reference point for professionals and researchers by summing up the current challenges in the field of information security risk management. Therefore, the findings enable researchers to focus their work on the identified real-world challenges and thereby contribute to advance the information security risk management domain in a structured way. Practitioners can use the research results to identify common weaknesses and potential solutions in information security risk management programs.

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Section: Challenge 5: Knowledge Sharingmentioning

confidence: 99%

Current challenges in information security risk management

Fenz

Heurix

Neubauer³

et al. 2014

Information Management &Amp; Computer Security

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show abstract

“…An employee with highly complex and tacit knowledge is regarded as a key factor to gain a competitive advantage in high‐technological firms. However, the risk of critical internal knowledge disclosure also rises when seeking external knowledge (Fang et al , 2011). Thus, the effect of talent competition, recruitment, and retention to OP in industrial clusters must be clarified in the context of the international competitive landscape.…”

Section: Introductionmentioning

confidence: 99%

Organizational commitment in an intense competition environment

Kuo

2013

Industrial Management &Amp; Data Systems

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PurposeThe purpose of this paper is to investigate the effect of market orientation (MO) on organizational performance (OP) through organizational commitment (OC) in the intensely competitive environment of high‐tech industrial clusters. The relationships among MO, OC, and OP are also examined.Design/methodology/approachStructural equation modeling (SEM) was used to analyze the questionnaires completed by employees of 91 high‐tech enterprises (n=335) located in the four science parks in northern, central, and southern Taiwan.FindingsThe results indicate that MO and OC have positive and direct effects on OP. The effect of MO on OP is significantly increased by enhanced OC.Practical implicationsThis study provides corporate managers with valuable knowledge, which can enhance OC and OP. That is, successful organizations must combine the strengths and motivations of internal employees and respond to external changes and demands promptly to demonstrate the organization's value.Social implicationsRegardless how the industrial environment becomes increasingly complex and diverse, OC of employees is still crucial. Only long‐term retention of human capital can sustain operations and enhance OP.Originality/valueThe most valuable contribution of this study is the understanding of OC as a mediator of MO and OP. This indicates that the only factors that guarantee OP are the talents who are willing to commit to the organization. Faced with increasingly severe challenges in the future, the results of this study contribute to existing literature by demonstrating that MO can sustain competitive advantages.

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“…Ho mann et al [41] analyzed whether rm innovation was in uenced by the transfer of knowledge among cluster rms. Fang et al [21] took enterprise clusters as the research object in order to identify various risks during the process of knowledge sharing by use of fuzzy mathematics and arti cial neural network. Bocquet and Mothe [42] turned to the government role in integration of knowledge in small industrial clusters.…”

Section: Knowledge Transfer In Industrial Clustersmentioning

confidence: 99%

“…The close relationship between the rms helps to facilitate the knowledge transfer and gain the knowledge from others more cheaply in a shorter length of time [19,20]. In addition to reduction in time and cost of knowledge acquiring, knowledge transfer enhances the synergy between the cluster members, improving the ability of cluster innovation and promoting the overall competitiveness of the cluster members [21].…”

Section: Introductionmentioning

confidence: 99%

A new model to optimize the knowledge exchange in industrial cluster: A case study of Semnan plaster production industrial cluster

Dezfoulian¹,

Afrazeh²,

Karimi³

2017

Scientia Iranica

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Abstract. Industrial clusters bring member rms the opportunities and advantages to save resources and increase competitiveness through cooperation and joint activities. One of these opportunities is knowledge exchange, using shared resources. If cluster rms want to create knowledge directly or acquire it out of cluster, it is necessary to spend much money and time. The aim is to maximize knowledge transfer between rms of a cluster regarding the limitation of budget and time, using existing knowledge ow networks. This problem is formulated with a new model of mixed integer programming and solved by the CPLEX solver for Semnan plaster production industrial clusters. The results of sensitivity analysis show that knowledge transfer is much more in uenced by budget than by time constraints. The results help cluster managers to have a better understanding, regarding the available resources and business conditions, to maximize the results obtained from knowledge transfer process in industrial cluster members.

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Knowledge Sharing Risk Warning of Industry Cluster: an Engineering Perspective

Cited by 8 publications

References 1 publication

Current challenges in information security risk management

Current challenges in information security risk management

Organizational commitment in an intense competition environment

A new model to optimize the knowledge exchange in industrial cluster: A case study of Semnan plaster production industrial cluster

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