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Digital innovation requires organizations to reconfigure their information technology infrastructure (ITI) to cultivate creativity and implement fast experimentation. This research inquiries into ITI generativity, an emerging concept demoting a critical ITI capability for organizational digital innovation. More specifically, it conceptualizes ITI generativity across two dimensions—namely, systems and applications infrastructure (SAI) generativity and data analytics infrastructure (DAI) generativity—and examines their respective social and technical antecedents and their impact on digital innovation.

This research formulates a theoretical model to investigate the social and technical antecedents along with innovation outcomes of ITI generativity. To test this model and its associated hypotheses, a survey was administered to IT professionals possessing knowledge of their organization's IT architecture and digital innovation performance. The dataset, comprising responses from 140 organizations, was analyzed using the partial least squares technique.

Results reveal that both dimensions of ITI generativity contribute to digital innovation performance, with the effect of DAI generativity being more pronounced. In addition, SAI and DAI generativities are driven by social and technical factors within an organization. More specifically, SAI generativity is positively associated with the usage of a digital application services platform and IT human resources, whereas DAI generativity is positively linked to the usage of a data analytics services platform, data analytics services usability and data analytics human resources.

This research contributes to the literature on digital innovation by introducing ITI generativity as a crucial ITI capability and deciphering its role in digital innovation. It also offers useful insights and guidance for practitioners on how to build ITIs to achieve better digital innovation performance.

The purpose of this paper is to propose and empirically test a unified framework that captures the antecedents of e-business implementation, that is; organizational factors which is decomposed into organizational capabilities (training availability, technical expertise, knowledge level), knowledge management capabilities (knowledge acquisition, application, and sharing), adhocracy culture, and top management support, e-business implementation, and organizational performance (efficiency, sales performance, customer satisfaction, relationship development).

Data from a survey of 258 top managers in Saudi Arabian enterprises were collected to empirically test the proposed research model. Additionally, the statistical techniques employed included a confirmatory factor analysis to examine the reliability and validity of the measurement model, and structural equation modeling using AMOS is utilized to test the hypotheses.

The findings of this study suggest that organizational factors influence e-business implementation. Moreover, e-business implementation affects organizational performance.

This study did not investigate all organizational factors and knowledge management processes. Future research could assess the influence of additional factors such as technology and environment contexts on e-business implementation.

Owners/managers considering e-business implementation would be best to focus on internal (organizational) factors and their interaction within and beyond the organization, rather than focussing exclusively on technological considerations.

This study is significant for at least two reasons: it determines the key antecedents to successful business implementation based on organizational factors and it helps to understand the effects of e-business implementation on organizational performance.

Contemporary frameworks in the resource-based view (RBV) of the firm observe that the proprietary firm-specific assets of multinational companies (MNCs) from developed economies give them competitive advantage in international markets. However, the question “how do emerging market firms (EMFs) achieve accelerated internationalisation in knowledge based industries – despite not possessing proprietary assets and lacking critical elements of innovation eco-systems, institutions and infrastructure” has yet to be addressed. This paper aims to adopt a knowledge-based view (KBV) of the firm, identifying knowledge, both inside and outside of the firm, as a critical element for the internationalization of EMFs.

This research entailed deductive econometric analyses using panel data analysis from 925 firm-year observations, which tested our predictions on capabilities that contribute to the internationalization of EMFs from the IT industry in India.

The findings of the authors’ panel data analysis reveal that the capacity to internationalize is predicated by knowledge leverage in three principal domains: absorptive capacity, tacit knowledge and knowledge-codification. This study shows internationalization is driven by higher-order capabilities of EMFs that draw on the absorptive capacity of individuals and collectives as a dynamic capability to serve international clients worldwide.

This study highlights that the process by which EMFs gain competence is different to the Western MNCs insofar as the extent to which EMFs have to stretch their efforts of learning from clients.

For practitioners, the findings of this research are a useful guide to understand that EMFs need to make strategic investments to understand the idiosyncrasies of a variety of clients’ needs and operating environments to dynamically adapt, document the learning and leverage the tacit knowledge.

This study captures the innate ability of entrepreneurs in emerging economies to unlock their potential in human capital for globalizing operations and targeting new market segments in the industry. This can directly benefit in uplifting the income level of millions in relatively underdeveloped countries and bringing about much-needed equity in the level of income in the society.

The value of this study lies in its novel and contemporary insight on how EMFs leapfrog in a fast-changing technology space. What distinguishes the work from the static framework in literature is that EMFs learning is dynamic, and happens in an interactive mode, alongside clients in close proximity. This study captures the innate ability of entrepreneurs to unlock the potential of human capital in emerging economies for globalizing operations.