Case analysis of imitative innovation in Chinese manufacturing SMEs: Products, features, barriers and competences for transition

Yu, Xiubao; Yan, James; Assimakopoulos, Dimitris

doi:10.1016/j.ijinfomgt.2015.03.003

Cited by 28 publications

(18 citation statements)

References 33 publications

(32 reference statements)

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“…External networks of an organization may be an effective means of acquiring knowledge. Also, formalized and undefined external sources of knowledge provide useful information and promote developments in knowledge [30]. Knowledge sharing is a culture of social interaction involving the exchange of information, experiences and skills between the entire department or organization.…”

Section: Km Processesmentioning

confidence: 99%

How do information technology and knowledge management affect SMEs’ responsiveness to the coronavirus crisis?

Azyabi¹

2021

Bus. Inform.

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All organizations have been affected by the coronavirus pandemic in different ways. Small and medium-sized enterprises (SMEs) are more vulnerable to changes due to their limited resources. However, the capabilities of information technologies and processes of knowledge management can assist these enterprises to survive and respond appropriately to changes. Thus, this study aims to assess the extent to which information technology capabilities influence the responsiveness of SMEs to challenges that have emerged during the coronavirus crisis. It also investigates the degree to which knowledge management affects such a relationship in the context of Saudi Arabia. The study includes developing a survey as a data collection method. The responses from 136 SMEs were used to make an analysis and, consequently, draw a conclusion. It has been found that IT capabilities positively influence SMEs’ responsiveness to changes brought by coronavirus, through supporting work flexibility and providing a wide range of options in the supply chain, processes, and sales. It further found that knowledge management mediates the relationship between IT capabilities and SMEs’ responsiveness.

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Section: Km Processesmentioning

confidence: 99%

How do information technology and knowledge management affect SMEs’ responsiveness to the coronavirus crisis?

Azyabi¹

2021

Bus. Inform.

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“…In China, technological development has been gradual among the traditional industries, progressing primarily through imitative innovation (Yu and Liu, 2013). Although the technological gap between China and the advanced countries is narrowing through imitative innovation strategies, China is still a follower due to the rapid rate of technology advances and obsolescence (Yu et al , 2015). The advent of big data movement not only spawns off new industries but also brings a revolutionary transformation to traditional industries in several ways.…”

Section: Literature Reviewmentioning

confidence: 99%

Big data-driven business model innovation by traditional industries in the Chinese economy

Cheah

Wang

2017

JCEFTS

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Purpose This study aims to construct mechanisms of big data-driven business model innovation from the market, strategic and economic perspectives and core logic of business model innovation. Design/methodology/approach The authors applied deductive reasoning and case analysis method on manufacturing firms in China to validate the mechanisms. Findings The authors have developed an integrated framework to deduce the elements of big data-driven business model innovation. The framework comprises three elements: perspectives, business model processes and big data-driven business model innovations. As we apply the framework on to three Chinese companies, it is evident that the mechanisms of business model innovation based on big data is a progressive and dynamic process. Research limitations/implications The case sample is relatively small, which is a typical trade-off in qualitative research. Practical implications A robust infrastructure that seamlessly integrates internet of things, front-end customer systems and back-end production systems is pivotal for companies. The management has to ensure its organization structure, climate and human resources are well prepared for the transformation. Social implications When provided with a convenient crowdsourcing platform to provide feedback and witness their suggestions being implemented, users are more likely to share insights about their use experience. Originality/value Extant studies of big data and business model innovation remain disparate. By adding a new dimension of intellectual and economic resource to the resource-based view, this paper posits an important link between big data and business model innovation. In addition, this study has contributed to the theoretical lens of value by contextualizing the value components of a business model and providing an integrated framework.

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“…The studies carried out by Barbosa (2006) and Segarra-Blasco, Garcia-Quevedo and TeruelCarrizosa (2008) also conclude that the high investment costs influencing the innovative process are the main barrier to the development of technological innovation processes. Recent studies also highlight the lack of funding as a major barrier preventing firms from investing in R&D, at both the technological and employee training levels (Song and Oh, 2015;Yu et al, 2015). So, economic factors are very important because financing constraints and uncertainty of innovation projects affect the incentives of firms to invest in innovation .…”

Section: Table 1 -Barriers To Innovationmentioning

confidence: 99%

“…Among these factors, the lack of qualified personnel as a crucial factor in the innovation process has been highlighted (Perel, 2002;Frenkel, 2003;Kam et al, 2003;Vermeulen, 2005;Madrid-Guijarro, Garcia and Van Auken, 2009;Clark, 2010;Xie, Zeng and Tam, 2010;Song and Oh, 2015;Yu et al, 2015;. In terms of innovation, the internal resistance to innovation is a factor that can jeopardize the competitiveness of a firm.…”

Section: Table 1 -Barriers To Innovationmentioning

confidence: 99%

“…This resistance can be decreased through guarantees or compensation given to employees before the introduction of an innovation or by a reduction of the costs related to innovation (Zwick, 2002). The latest studies show that when conceived ideas are put into practice, the factors that hinder businesses are the lack of capacity in terms of internal efficiency and technical support and the lack of ability of workers (Najda-Janoszha and Kopera, 2014;Meijer, 2015;Song and Oh, 2015;Yu et al, 2015).…”

Section: Table 1 -Barriers To Innovationmentioning

confidence: 99%

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Barriers to Innovation and the Innovative Performance of Portuguese Firms

Madeira¹,

Carvalho²,

Moreira³

et al. 2017

JOB

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This paper aims to identify and analyze the main limiting factors of innovation performance in terms of product and process innovation. The limiting factors to innovation make the innovation process of a firm difficult, which influences its innovation performance. The goal of this essay is to develop a theoretical support based on current reference approaches, corroborated by empirical support, which allows for the identification and analysis of the factors that restrict innovation activity and innovation performance.The database is extracted from the Community Innovation Survey -CIS 2010, which was conducted under the responsibility of the Office of Planning, Strategy, Evaluation and International Relations/Ministry of Science, Technology and Higher Education (GPEARI/MCTES), in collaboration with the National Statistics Institute (INE), under the supervision of EUROSTAT. We have developed a logistic regression model that highlights the barriers to innovation and identifies the factors that limit innovation performance. The analysis suggests that several barriers to innovation influence the Innovative performance of Portuguese firms. These results may be attributed to the fact that perceived barriers stimulate the firm to overcome these difficulties, which promotes the internal propensity to innovate. The most significant barriers identified in the study are the following: high innovation costs and perceived uncertainties in both the demand and market for new goods and services. This study shows that firms that do not have either qualified personnel to carry out innovation activities or sufficient market information are less likely to innovate than firms that do not experience these difficulties.

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Case analysis of imitative innovation in Chinese manufacturing SMEs: Products, features, barriers and competences for transition

Cited by 28 publications

References 33 publications

How do information technology and knowledge management affect SMEs’ responsiveness to the coronavirus crisis?

How do information technology and knowledge management affect SMEs’ responsiveness to the coronavirus crisis?

Big data-driven business model innovation by traditional industries in the Chinese economy

Barriers to Innovation and the Innovative Performance of Portuguese Firms

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