Purpose: This study explores central questions related to the connection between intellectual capital (IC) and the innovative performance of organizations through the mediating role of management control systems (MCS) and business strategies, as well as the moderating role of innovation capabilities.Design/methodology/approach: The data was collected from the managers of small and medium enterprises (SMEs) through a structured questionnaire. Out of 1,152 questionnaires distributed, only 415 were used for analysis purposes. Structural equation modelling (SEM) was used to test the study hypotheses.Findings: Intellectual capital significantly influences MCS, business strategies and innovative performance. Moreover, MCS, business strategies and innovative capabilities significantly improve innovative performance. MCS and business strategies significantly mediate the relationship between intellectual capital and innovative performance. Finally, innovative capabilities significantly moderate that between intellectual capital and innovative performance.Practical implications: The current research examines how management should use MCS, business strategies, and innovative capabilities to take maximum benefit from intellectual capital in order to improve innovative performance.Originality/value: This is pioneering research that develops a theoretical model to incorporate intellectual capital, MCS, business strategies, innovative capabilities and innovative performance. Even though the influence of various kinds of intangible assets/resources on innovative performance has been widely examined in the literature, scant attention has been paid to the role of MCS, business strategies, and innovative capabilities in leveraging the firm's intellectual capital.

Purpose: In the field of business, digital transformation is the integration of digital technology into all areas of business, from generating to deliver value to customers. This concept is essential for sustainable growth of a company and its overall economy. Based on this fact, this authentic and informative research is conducted whose major aim is to examine the importance of digital transformation within a business through big data, the Internet of things and blockchain-based capabilities for overall strategic performance within the telecom sector in China.Design/methodology/approach: For that aim, data quality and technology competence are considered as independent variables, strategic performance as dependent variable and big data analytics capabilities, Internet of things capabilities and blockchain capabilities routinization acted as mediators within this paper. In its data collection mechanism, an online survey was conducted in which questionnaires are randomly distributed to the telecom sector's professionals in which only 343 of them gave their valid outcomes. After collecting primary data, confirmatory factor analysis (CFA) and structural equation modeling (SEM)–based statistical outcomes have been generated.Findings: Results indicate that there is a significant relationship between data quality and strategic performance and between technological competence and strategic performance. Also, the big data analytics and Internet of Things capabilities acted as significant mediating role between both independent and dependent variables. But blockchain capabilities routinization is that variable that acts as an insignificant mediator between independent and dependent variables' relationship.Originality/value: Overall, this study is an informative and attractive source for the Chinese government, its telecom industry, administrative body and related ones to understand the importance of such IT capabilities' implications within their operating activities for their strategic performance management. Also, related field scholars can utilize its reliable data in their research analysis. Its major limitations are (1) lack of qualitative/ mixed method of research and (2) lack of comparative analysis that may impact the acceptability factor of this paper, and this weakness can be overcome by upcoming scholars in their research.