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The performance of an academic institution is widely measured by their research performance. In this regard, the role played by leaders in an academic institution is vital. The focus of this paper is on the role played by academic leadership towards research performance.

A cross-sectional study is designed, and data are collected from 267 faculty members from various technical institutes across India through an online survey. A snowball sampling is adopted to reach the data point, and structural equation modeling is used to analyze the relationship using Smart PLS (partial least squares).

The study indicates that leadership in academic setup in developing countries does not directly influence research performance among the faculty members. To enhance research performance, institutes should promote collaboration and facilitate knowledge acquisition and individual development.

The proposed model aids the leadership in devising strategies and approaches to encourage collaborations and individual initiatives in an academic setup.

The study identifies the importance of Individual initiative in Research Performance and knowledge acquisition for Higher Educational Institutions (HEI).

This research study is unique because it investigates the relationships between Academic Leadership and Research Performance of engineering faculty in emerging nations.

The paper aims to examine the influence of closed and open innovation practices on economic performance. This papert also examines the mediating roles of innovation performance and firm performance. The study uses innovation theory based on knowledge management for theoretical support.

The methodology involves two steps. First, all the variables relevant to the adoption of innovative approaches and performance parameters are identified. Subsequently, primary data are gathered from decision-makers of 200 biotechnological firms and a structural equation modeling analysis is performed.

The study's results showed that the open innovation practice, such as interaction with large research and development (R&D) firms and customers, influences the performance parameters. The findings indicate that closed and open innovation practices positively impact performance measures like innovation, firm and economic performance. The results also indicate the mediating role of firm performance. However, the innovation performance was not found to mediate the relationship.

This examination gives experimental bits of knowledge from any confining influence innovation approaches in India. Analysts and specialists of firms can use the results of the current study to comprehend the effect of various innovation practices on different performance measures.

This study aims to analyze the influence of inbound and outbound open innovation practices on firm performance among Indian product small and medium-sized enterprises.

A cross-sectional design with a quantitative approach is adopted. The data is collected from 213 decision-makers of software product firms through an online survey using the criteria-based snowball sampling method. The data is processed in IBM SPSS 23.0 and analyzed using multiple regression.

Collaboration with customers and purchasing intellectual property rights (IPR) are the key inbound practices that positively influence firm performance. Outbound innovation practices such as selling out IPR and spin-off influence firm performance negatively and positively, respectively. Inbound open innovation practice such as trade show participation helps in product development and outbound open innovation practice such as spin-off helps in product development.

The study analyses the influences of inbound and outbound open innovation practices on firm performance among software product firms in emerging economies. The research outcomes have vast implications for theory and practitioners.

The purpose of this paper is to investigate the factors influencing small and medium enterprises’ (SMEs) adoption of innovation approaches.

The methodology involves two steps. First, all the variables relevant to the adoption of innovation in SMEs are identified. Subsequently, primary data are gathered from decision makers of 213 SMEs, and a multinomial logistic regression analysis is performed.

The results indicate that SMEs adopt both open innovation and closed innovation approaches. The firm-level factors such as firm age, firm size, education qualification, work experience and culture, and external factors such as customers, competition, technological advances and ecosystem influence adoption of open innovation approach compared to closed innovation approach. Factors such as culture among firm-level factors and competition among external factors influence the adoption of closed innovation approach.

The study helps the managers or the decision makers of the SMEs to know the suitable factors influencing the firm to adopt innovation which could potentially help the firms in their business strategy.

The study explores the adoption of innovation approaches of SMEs in emerging economies. The outcomes of this research have far-reaching implications for theory and practitioners in emerging economies.