A study of the CSFs of an e-cluster platform adoption for microenterprises

Fu, Hsin‐Pin; Yeh, Ho‐Ming; Ma, Rong-Ling

doi:10.1007/s10799-017-0284-x

Cited by 13 publications

(10 citation statements)

References 56 publications

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“…Contrarily, Duan [60] suggested a four-stage model of the evolution of business-to-business (B2B) developed ICTs like E-commerce, but the model is now considered to be flawed [61]. Davis [62] also proposed a stage-of-growth model which was similar to the one in [63] by stating that organisations do not need to accomplish each stage successfully as they can begin at any stage, they want by skipping some stages; an organisation that is increasingly aware of the newly developed technologies such as E-commerce could begin with a later maturity phase. Some researchers [64,65] also subscribed to the notion that organisations can select which aspects of the developed ICTs to adapt into their organisational framework.…”

Section: Stages-of-growth (Sog) Modelmentioning

confidence: 99%

“…This was evidenced in [27] which revealed that many business organisations refused to adapt to new technology that does not support their existing structures. Many scholars have echoed this finding in the literature; for instance, [5,39,63] argued that many SMEs would not adapt to or use a newly developed technology if it was too complex and may therefore not support their business growth and expansion. This was supported by [20], who pointed out that most SMEs fail to adapt or use a developed ICT because they feel it does not support their current business practices.…”

Section: Organisational Barriersmentioning

confidence: 99%

“…Therefore, governments and other stakeholders should try to encourage the integration of the latest technologies by reducing the cost of the Internet connectivity [13]. Presently, the cost of acquiring the developed ICT facilities is lesser than in recent decades [2], but the cost of operating it is on the high side [63]. Therefore, the government should subsidise the cost of connecting to the Internet, particularly for the rural SMEs.…”

Section: Key Themes and Hypothesis Testingmentioning

confidence: 99%

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Barriers to the Effective Integration of Developed ICT for SMEs in Rural NIGERIA

et al. 2022

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This study investigated three key factors (technological-related, organisational-related and environmental-related barriers) affecting the adaptation to or integration of developed ICT. It also examined how SMEs in less developed countries can explore the different stages of developed ICT by moving from one stage to the other. The integration of ICT in SMEs is important as technologies have become competitive tools in contemporary business practices. This study is based on a survey of 322 Nigerian SMEs which was successfully validated using the SmartPLS3 software. The quantitative analysis centred on the three hypothesised barriers to measure the extent to which SMEs’ internal and external variables could limit their competitiveness in relation to business expansion and organisational growth. The analysis helped explain some of the critical challenges faced by rural SMEs in an emerging economy such as Nigeria despite the literature’s previous emphasis on the impacts of ICT on the SMEs’ growth and expansion. A major contribution of the study is the development of a distinct model to help SMEs identify the significance of developed ICT and propose a strategy for SMEs to navigate the stages of developed ICT.

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Section: Stages-of-growth (Sog) Modelmentioning

confidence: 99%

Section: Organisational Barriersmentioning

confidence: 99%

Section: Key Themes and Hypothesis Testingmentioning

confidence: 99%

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Barriers to the Effective Integration of Developed ICT for SMEs in Rural NIGERIA

et al. 2022

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“…The research on virtual agglomeration originated from the COSME project funded by the European Union's SALFA program, which is also called Virtual Cluster and Ecluster [2][3][4]. The virtual agglomeration of creative industries based on the Internet and digital technology is a new form of industrial organization closely integrated online and offline.…”

Section: Introductionmentioning

confidence: 99%

Mechanism Underlying the Formation of Virtual Agglomeration of Creative Industries: Theoretical Analysis and Empirical Research

et al. 2021

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Industrial agglomeration serves as an effective model for developing the creative economy and manifests itself as the interdependence of creative subjects in geographical space. The traditional methods of resource agglomeration have undergone tremendous changes due to the development of digital technology. These transformations have given birth to a new organizational form of the virtual agglomeration of creative industries. The present work uses field interviews and grounded theoretical research methods to construct a theoretical model of this new organizational phenomenon. Questionnaire surveys and empirical testing using structural equation models are here combined to systematically analyze the formation mechanism of the virtual agglomeration of creative industries. The results show that digital technology, virtual platforms, digital creative talents, digitization of cultural resources, and government policies have driven the formation of the virtual agglomeration of creative industries. This has been achieved through network collaboration, freedom of participation, and trust guarantee mechanisms. The effect of emerging consumer demand on the virtual agglomeration of creative industries is not significant. In addition, the implications of this research are also considered and discussed.

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“…Research on virtual agglomeration began with the EU's program for the Competitiveness of Enterprises and SMEs (COSME) [5,6]. Virtual agglomeration is also sometimes referred to as "e-clusters" or "virtual clusters" [7][8][9]. Brown and Lockett [10] noted that the emergence of the Internet provided firms with platforms on which they could form interconnected digital enterprise communities.…”

Section: Introductionmentioning

confidence: 99%

What Causes the Virtual Agglomeration of Creative Industries?

et al. 2021

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The agglomeration paradigm for creative industries has fundamentally changed under the digital economy, giving rise to a new form of virtual agglomeration within these industries. This study explores the causes of this virtual agglomeration. We collected online Chinese news texts related to the virtual agglomeration of the creative industry, used text mining to identify nine factors affecting its formation, and refined the internal and external factors for an analytical framework based on the PEST (political, economic, social, technological) and value-chain models. We then combined the relevant literature and the creative industry’s development practices, analyzed the mechanism of each driving factor, and constructed a driving-force model for the creative industry’s virtual agglomeration. The external driving factors were government policy planning, the digital economic environment, emerging consumer demand, and the application of innovative technology; the internal factors were the digitalization of cultural resources, flexible manufacturing, digital marketing and promotion, online interactive services, and virtual platform facilities. Each factor was found to contribute to virtual agglomeration through different internal mechanisms. This study’s findings have theoretical and practical value for cultivating the modes of virtual agglomeration within creative industries.

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A study of the CSFs of an e-cluster platform adoption for microenterprises

Cited by 13 publications

References 56 publications

Barriers to the Effective Integration of Developed ICT for SMEs in Rural NIGERIA

Barriers to the Effective Integration of Developed ICT for SMEs in Rural NIGERIA

Mechanism Underlying the Formation of Virtual Agglomeration of Creative Industries: Theoretical Analysis and Empirical Research

What Causes the Virtual Agglomeration of Creative Industries?

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