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This paper intends to examine the change of R&D fiscal policies in China since 1978 and its impact on China's drive to become an innovation‐oriented country.

This paper adopts an archive approach and undertakes an overview of the policy changes and their implications.

It is found that policy changes have gradually made enterprises the focal point of the national innovation system and that correspondingly a new financial and fiscal mechanism has been created to create incentives for innovation in firms.

This paper provides a comprehensive overview of the changing financial and fiscal policies in support of technological innovation in China.

The purpose of this paper is to propose a theoretical-conceptual model supporting the analysis of the effects of small- and medium-sized enterprises (SMEs) networks on knowledge management (KM) and intellectual capital (IC).

The paper reviews literature on KM, IC and networks theories. The role of SMEs networks on KM and IC was discussed, analysing previous studies that supported the proposition of the model in question. In such model SMEs networks are seen as knowledge networks which are analysed in terms of the network formation process, the context, the strategy, the organisational culture and the stimuli for the sharing of knowledge. KM is observed in terms of knowledge creation, systematisation and sharing. Finally, IC encompasses human capital, structural capital and relational capital. It is noteworthy that KM and IC were considered deeply and closely related.

The conclusions obtained help to fill an important gap in the management, accounting, KM and IC literature, showing that the processes of creating, acquiring, maintaining, systematising and sharing information and knowledge and IC generation in SMEs networks can be influenced by the network formation process, by the organisational context, as well as by the strategy, organisational culture and stimuli to sharing knowledge.

The paper provides a theoretical contribution by increasing understanding of the effect of SMEs networks on KM and IC practices – an understanding still at the early stages in the literature. Moreover, the originality of the model proposed extends the relevance of this research, as the literature does not contain a sufficiently established and tested approach that simultaneously provides a clear view of the relations between SMEs, networks, KM and IC, highlighting how SMEs can use networks as a strategy to achieve a more effective management of the knowledge assets forming IC. So, the paper offers several avenues for future research.

Based on previous empirical research, it was perceived that the original model presented in this paper is consistent, collaborating to improve management practice, providing a competitive benchmarking process. This can allow analysts, managers and other decision makers, by using SMEs networks to improve organisational performance, innovation, sustainability, competitiveness and value.

The paper presents an innovative theoretical-conceptual model focussed on the role of SMEs networks on KM and IC, indicating a strong link between the former and the latter in such enterprises in terms of performance, innovation, sustainability, competitiveness and value, an issue whose understanding, although quite relevant, is still incipient in the literature.

The purpose of this paper is to investigate how social networks evolve as small business enterprises transition across the organizational lifecycle. It aims to give attention to how social identities of small business owners impact social networks and whether social networks improve organizational performance in small firms.

A sample of small to medium‐sized enterprise (SME) owners employing less than 500 employees was drawn from the local directory of businesses in two Indian cities. A total of 297 SME owners participated in the study, for a response rate of 85.6 percent.

The findings show that social networks for small businesses change as firms transition from startup to growth and beyond. Personal networks were most important during startup, with other social networks growing in contact frequency and importance over time. The findings also show that small business owners can be classified along network preferences and that social networks lead superior performance.

The study focused on a limited set of performance indices. Future research should assess a wider set of organizational metrics and should investigate granular aspects of transitional networks.

The findings suggest that small business owners cannot adhere to the status quo and must instead be willing to change business practices as their organizations evolve across the organizational lifecycle.

The study provides evidence that small business owners use different types of social networks and that the range and value of the strategic advice that they receive differ as their organization unfolds over time. The research contributes to the literature by showing that social networks and entrepreneurial learning practices are not static, and instead must be viewed in terms of dynamic decision making needs and processes.

This research examines the effects of firm ownership and size on innovation capability using data from the World Bank China Enterprise Survey (WBCES), which provides directly measurable innovation-related variables. Key consideration is given to the role and innovation capability of state-owned enterprises (SOEs) compared with domestic and foreign private enterprises in the Chinese economy.

In its quest for technological self-reliance and a new developmental path, China is focusing on its enterprise innovation capability.

The findings suggest that SOEs and domestic private enterprises are similar in terms of innovation participation but differ in terms of innovation diversification, which implies ownership-specific innovative advantages. In general, the authors find that SOEs are more innovative with respect to processes innovation but less so with respect to product, management and promotion innovations. Foreign-owned enterprises are superior in all types of innovation except product innovation.

The authors also find that size is an important determinant of innovation capability, with the effect varying depending on location and industry. Moreover, the joint effect of firm ownership and size on innovation declines with increasing size. These findings provide new insights into the evaluation of China's major policies.

This research examines the effects of ownership and size on enterprise innovation capability, using the WBCES (2013) data, which include direct measurable innovation related variables.

The economic, social and demographic consequences of the transition from central planning to a more market‐oriented system in Kazakstan have been severe. The causes of the calamity are analyzed in this paper and the effects on human development of a poorly formulated transition strategy are documented. A revised strategy is then suggested which focuses on: macroeconomic stabilization; policies to increase the rate of investment; the creation of an appropriate incentive structure; the promotion of small and medium enterprises; a guaranteed jobs scheme on a public investment programme; and the provision of social protection services to cope with residual poverty.

This study aims to test the link between enterprise digital transformation and technological innovation and the mechanisms and channels behind this link.

This study systematically examines whether and how enterprise digital transformation affects technological innovation in China.

Enterprise digital transformation effectively improves technological innovation. This result remains stable in robustness and endogeneity checks. The channel mechanisms of this promoting effect are internal (improvement of internal control quality and alleviation of agency costs) and external (increased attention of analysts and reduction of customer concentration). Moreover, this promoting effect is more significant for state-owned enterprises, small and medium-sized enterprises, enterprises in areas with low marketization and enterprises that do not enjoy digital subsidies from the government.

Enterprises need to attend to the mechanisms behind the link between digital transformation and technological innovation and to the unique effects of different enterprise attributes and capital markets, such as size, the ownership nature, the degree of regional marketization and government subsidies. Doing so will effectively promote digital transformation and technological innovation and strengthen core competitiveness.

This study provides systemic evidence of the link between enterprise digital transformation and technological innovation. The findings enrich the research literature on enterprise digitization and the factors of influencing enterprises’ technological innovation and provide a reasonable explanation for how enterprise digital transformation affects technological innovation.

The purpose of this paper is to test a conceptual framework explaining the role of relationships and trust in enabling the purchase of business advice by small business owner–managers from their external accountants.

The study uses a semi-structured interview approach with 20 small- and medium-sized enterprise (SME) owners and accountants in London and Melbourne.

The interview data support the conceptual framework’s central proposition that relationships and trust, rather than being antecedents of demand for advice, are necessary conditions for enabling latent demand. SMEs with greater propensity to trust are more open to buying business advice but not necessarily from their accountant.

A limitation of the fieldwork is that it is based on a non-random and limited sample of accountants and SMEs.

Accountants in public practice can no longer assume that the already established relationships with their clients, developed while providing compliance services, will automatically lead SME clients to purchase business advice.

The paper contributes to the accounting literature by developing a conceptual model of relationships and trust that will assist the profession in better understanding the complex dynamics of the accountant–client relationship. The conceptual model distinguishes, for the first time, the antecedent factors of demand for business advice from the enabling roles of relationships and trust. Fieldwork interviews also yielded new insights into how SMEs’ decisions to purchase business advice are influenced by specific personality traits of SME owner–managers and additional antecedent demand factors not identified in the extant literature – economic conditions, environmental turbulence and business life-cycle.

This study aims to explore how small and medium-sized enterprises (SMEs) in Indonesia display resilience in response to the Covid-19 pandemic.

A qualitative research design was used, which involved semi-structured interviews on five creative industry-based businesses in Yogyakarta, Indonesia. A narrative inquiry approach was used to obtain an in-depth understanding of SMEs’ resilience. The data obtained were analyzed using thematic analysis via MaxQDA 2020.

The Covid-19 pandemic triggered the emergence of both new opportunities and new constraints for SMEs. These, in turn, significantly interrupt their business model. SMEs are found to navigate survival, continuity and growth by drawing from their resourcefulness and firm-level strategies to cope with the new opportunities and constraints.

This study was conducted qualitatively based on five SMEs in the creative industry in Indonesia. This limits the ability to compare the findings across different economic sectors.

SMEs facing emergent constraints may need to find new ways to recombine existing resources and simultaneously seek to innovate their business model. Business owners and entrepreneurs should adopt a positive mindset such as optimism, perseverance and efficacy, to cope with adversity. Growth-oriented SMEs may make use of a competitive mindset such as flexibility, speed and innovation, to spot and exploit opportunities that emerge from the crisis.

SMEs’ resilience should be understood not only in terms of economic survival and continuity but, more deeply, about their social contribution to the localities where they operate.

This study illustrates the process of how adaptive resilience is adapted and executed by SMEs. It also contributes to entrepreneurial resilience and resourcefulness literature by explaining how entrepreneurs anticipate, respond to and leverage from the crisis.

The purpose of this paper is to examine small and medium-sized enterprises’ (SMEs) level of participation in human resource development activities during a labor shortage. Drawing on human capital theory, it examines whether SMEs’ profiles, determined according to their participation in different types of training activities, relate to perceived benefits of training, barriers to participation in training and learning culture.

This study applies latent profile analysis (LPA) to 10 training practices of 427 SMEs in Quebec, Canada.

The LPA distinguished four profiles of SMEs, reflecting differing capacities for mobilizing training resources during a labor shortage. These four profiles show differences with regard to perceived training benefits, barriers to participation in training and learning culture.

To the best of the authors’ knowledge, this study is among the first to focus on the specific ability of SMEs to invest in their human capital in the unique and recent context of a labor shortage.

The purpose of this study is to empirically investigate the extent to which two types of commercial partnerships (business partner and non-business partner) affect the collaborative innovation of firms in emerging economies. Specifically, the roles of two commercial partnerships are investigated. Additionally, the study explores the moderating effect of external technological uncertainty and internal dynamic capabilities on the relationship between two commercial partnerships and on collaborative innovation.

Using a sample of 370 high-tech firms in China, the authors applied the partial least squares structural equation modeling approach to model these relationships.

The findings reveal opportunities and challenges for companies according to two intensities of commercial partnership for collaborative innovation. The partnership contribution to innovation and competiveness is different within the two routes and ranges. The findings indicate that (1) intense commercial relationships with business partners have a stronger positive significant impact on collaborative innovation than those with non-business partners and (2) non-business partners have a weaker positive impact on collaborative innovation at high external technological uncertainty. It was also found that (3) the positive impact of business partners on collaborative innovation is weakened when a firm has high dynamic capabilities, whereas the positive impact of non-business partners is strengthened.

Insight into the roles of two commercial partnerships in achieving collaborative innovation facilitates the advancement of the theoretical understanding of the circumstances under which cooperative innovation can be more effective under different partnerships.

A key strategic question is whether comprehensiveness enables firms to make better strategic decisions in various environments. In the process of innovation, companies must choose different types and quantities of partners, and they must regulate their partners’ innovative behavior by establishing a corresponding network structure and relationship rules. The current study focuses on analysis of how different intensities of commercial partnerships affect collaborative innovation. This research provides a theoretical framework that creates a new classification of commercial relations with regard to collaborative innovation, and it highlights the difference between the two types of partnerships. This study finds that there are many problems in the selection of innovative partners in China’s high-tech companies. Therefore, companies should strengthen their understanding of cooperative innovation, and they should build and manage highly efficient innovation networks. This study helps companies, high-tech industry associations, academia and government to take enhanced, informed actions.