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The purpose of this research is to contribute to knowledge-building on microenterprises in emerging economies, by assessing the determinants that drive their use of accounting systems.

A probabilistic model was developed to determine the likelihood that a micro-firm would adopt an accounting registry system as a function of a series of contingencies and personal characteristics of their owners/managers. Data from the Microentrepreneurship Survey (EME), from the National Institute of Statistics of Chile for 2017 was used.

The findings suggest that access to external funds, the size and the use of technology strongly influence micro-firms' adoption of accounting systems.

Despite the richness and scope of the data, direct measurements of entrepreneurial orientation and environmental uncertainty, both central variables of the contingency theory, were missing. Hence, duly justified proxies were applied. It is also likely that there would be other variables that also influence the probability of using accounting tools.

The study contributes to a better understanding of microenterprises, and the factors that determine the use of accounting systems. The results highlight that public policies aimed at fostering microenterprises should facilitate access to technology and external funds. Consistent with previous studies, the authors’ findings highlight the importance of training owner/managers on issues related to their business.

This paper contributes to theory by arguably being the first study to confirm that contingency theory does explain the adoption of accounting systems in microenterprises in emerging countries.

The need for context-specific adoption models led to the development of the firm technology adoption model (F-TAM) model. Among small to medium-scale enterprises (SMEs); however, firm-level factors were rather insignificant in engendering SME level adoption of technological innovation. This study aims to examine the effect of firm size and other moderating and mediating factors on the relationships between personal, firm, societal and technological factors proposed in the stakeholder-oriented F-TAM among SMEs.

A research instrument was developed, reviewed by experts, and pilot tested with a sample of 25 respondents. Data were purposively collected from four hundred (400) SMEs and analyzed with partial least squares structural equation modeling (PLS-SEM).

The study discovered that employees, societal and technological factors moderate the relationship between firm factors of adoption and firm adoption. Without these moderating effects, firm factors of adoption would have been insignificant at the SMEs’ level of organizational technology adoption. The study further discovered that firm size, as well as risk propensity, also affect the relationships proposed in the model.

Data was collected on voluntary adoption from the most cosmopolitan area of a developing country. It, therefore, needs further contextual validation across the country and different countries.

The engagement of innovations in firms must be planned with employees and society as major stakeholders.

The significance of this finding is the study’s emphasis on an eco-system approach for examining the phenomenon of innovation adoption. To the best of the authors’ knowledge, this study is the first to examine the effect of firm characteristics on is proposed eco-system of stakeholders.

This study aims to measure the degree of innovation of micro and small industrial companies in the West and Southwest metropolitan regions of the city of São Paulo, through a survey with 203 firms in the metallurgy sector.

The research had a quantitative and descriptive focus and used as methodology the validated and international approach known as Innovation Radar.

The degree of innovation in these micro and small companies is low; thus, the authors could not characterize them as systemic innovators. Most of them are little innovative, although some were classified as occasional innovators. The dimensions organization, processes, presence, supply chain and added value were the least developed.

To carry out similar studies in other Brazilian regions, to compare results and draw new conclusions, or even check if the degree of innovation present in micro-firms of these regions would not be even lower; to monitor the evolution of companies through a longitudinal study, to detect improvements in the degree of innovation; and to conduct a qualitative research that can deepen questions on the results of our study, such as the reasons why this type of company does not adopt innovative practices, or even the real suitability of the Innovation Radar model for micro and small enterprises (MSEs). We observed that some dimensions proved to be too sophisticated for these companies, such as R&D investments and the adoption of technological advances.

The study shows that the degree of innovation measured by the Innovation Radar is a useful and initial measure to check an innovative attitude in micro and small companies. It can also drive the actions that should be prioritized to stimulate the culture of innovation in SME. However, it does not allow to answer why this type of organization does not adopt innovative practices as a management attitude. Regarding its contribution, the authors expect that the paper may bring an awareness of managers and owners of micro and small companies for the need to foster innovative practices that can help increase the competitiveness and survival of this type of organization.

In Brazil, despite the fact that MSEs represent 98 per cent of the existing companies, and are mainly responsible for job creation, their leaders have a low concern for innovative practices.

The study contributes to identify the degree of innovation of these firms, which comprise a representative and strategic segment of the city’s economy, by checking to what extent an innovative attitude is effectively present in this sector. The theoretical contribution of this study regards the appropriateness of mechanisms or methodologies created to measure the degree of innovation in large organizations. Dimensions such as technological platform, brand, innovative ambience, degree of organization or systematization of processes, which are frequently considered for companies in general, and especially for large ones, are not sufficient or, instead, too sophisticated to allow an effective measurement of the degree of innovation in MSE. Thus, this study provides information for designing more effective ways to evaluate the degree of innovation that take into account MSE’s specificities, which can be considered innovation efforts, such as simple process improvements, professional development of teams, and actions to seize ideas and opportunities, among others.

This paper analyzes the productivity effects of structural capital such as research and development (R&D) and organizational capital (OC). Innovation work also produces innovation-labor-biased technical change (IBTC) and knowledge spillovers. Analyses use full register-based dataset of Finnish firms for the period 1994–2014 from Statistics Finland.

Intangibles are derived from the labor costs of innovation-type occupations using linked employer-employee data. The approach is consistent with National Accounting and offered as one method in OECD (2010) and applied in statistical offices, e.g. in measuring software. The EU 7th framework Innodrive project 2008–2011 extended this method to cover R&D and OC.

Methodology is implementable at firm-level and offers way to link personnel reporting to intangible assets. The OC-IBTC as well as total resources allocated to OC are relevant for productivity growth. The R&D stock is relatively higher but R&D-IBTC is smaller than OC-IBTC. Public policy should, besides technology policy, account for OC and OC-IBTC and related knowledge spillovers in the industries that are most important among the SMEs (low market-share-firms).

The data are based on remote access to Statistics Finland; the data cannot be disseminated.

Intangible assets are measured from innovation work that encompasses not only R&D work. IBTC is proxied in production function estimation by relative compensations on IA work. The non-competing nature of IAs is captured by IA knowledge spillovers. The sample sizes are much higher than in earlier studies on horizontal knowledge spillovers (such as for SMEs,) thus bringing additional generality to the results.

This paper aims to provide a survey of existing literature on the economic impacts of the internet on firm development, and outlines an overall framework of the existing studies. The purpose is to show how the internet affects firm development, which may help policymakers and other researchers to have a better knowledge of existing research characteristics, problems and future directions.

The authors review the studies on the economic impacts of the internet on firm characteristics and external environment, identify the characteristics of the existing literature and problems and discuss the directions of possible future research.

The authors find that the impacts of the internet on firm development mainly display two relevant mechanisms (firm characteristics and external environment), and they can be grouped into six channels (firm innovation, firm business mode, firm performance, firm productivity, firm import and export trade and firm location selection).

This study builds up a framework of how the internet impacts on firm development, which can add value to the future research of firm intelligent transaction modes in the crowd intelligence network.

This paper aims to conceptualize the digital behavior of startups and investigate the emerging behaviors about digital strategies of the Italian startup firms enrolled in the Startup Act policy initiative. Digital technologies were divided into intra- and inter-organizational digital infrastructures, and this categorization offers startups the opportunity to identify a set of enabling technologies that could be used to improve their digital strategies.

An empirical analysis has been conducted to investigate the degree of adoption of digital intra- and inter-organizational digital infrastructures in the entire population of 6,178 Italian firms listed in the Register of Innovative Startups.

The paper proposes a taxonomy bringing together four startup behaviors for adopting digital technologies: digital follower, technical influencer, social influencer and digital leader. From the perspective of policy makers, considering the financial efforts that public authorities are supporting in the last decade, implications are mainly concerned with policy measures aimed both to reinforce the overall adoption of digital technologies and to develop a balanced adoption of intra- and inter-organizational digital infrastructures.

Measures addressed to support female and foreign entrepreneurship could be useful to support a more dynamic and well-balanced cultural and racial contamination, thus improving the adoption of digital tools.

Elite interviewing is a well-established area of interview research methods. Nevertheless, the actual casting of an “elite” has been generally conducted in a prima facie or broad manner. A consideration of entrepreneurs and owner-managers as “elites” has been less profiled and received less attention, therefore the paper views the entrepreneurs and owner-managers as constituting a form of “local elite” within given and varying sectorial, regional and community boundaries. The authors argue that a consideration of entrepreneurs as “local elites” and transferring knowledge from an elite interviewing perspective may strongly support scholarly research in the entrepreneurship field.

The study conducts a comprehensive narrative literature review of elite interviewing literature and transfers key methodological insights to the entrepreneurship field. The methodological contribution based on literature is complemented by experiences and observations from an extensive inductive interview study with over 30 entrepreneurs of German manufacturing Small and Medium-sized Entities (SMEs) and are used to reflect on, and refine, interview research approaches with entrepreneurs.

The reflections and discussions in this paper provide valuable insights for other researchers conducting research in entrepreneurship domains regarding the power dynamics of negotiating access, procedural issues of interviews and thereby enhancing the quality of data.

The contribution to knowledge is mainly of a methodological nature. While the paper takes a novel act of recasting elite interviewing in the SME and entrepreneurship context, the paper methodologically contributes to the entrepreneurship and elite interview literature thereby facilitating higher quality interviews.