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This research aims to examine the challenges of recruiting participatory action research (PAR) in managing innovation projects. An enhanced methodology based on PAR was developed to mitigate the challenges related to recruiting PAR in managing innovation projects. The proposed methodology was evaluated by comparing it to established methodologies/frameworks such as Scrum, Design Thinking (DT) and The Lean Startup (TLS). The evaluation aimed to determine the advantages and limitations of the proposed methodology in managing innovation projects.

The proposed enhanced methodology consists of eight steps, ranging from developing an understanding of the industry and business structure to learning and knowledge management. In addition, the enhanced methodology uses other techniques, such as Force field analysis and 12 boundary questions.

The research findings indicate that using the proposed methodology can improve the formalization of collaboration in PAR, enabling the organization to respond better to market changes. It helps define the project scope more clearly, encouraging innovation, addressing communication barriers and considering different worldviews and practical issues. Based on the findings, the proposed enhanced methodology could complement other methodologies/frameworks such as Scrum, DT and TLS.

The current research adds to the existing literature by identifying the challenges of recruiting PAR in managing innovation projects. A deductive reasoning process was utilized because there is no comprehensive research concerning the challenges of recruiting PAR in managing innovation projects. On the other hand, the PAR 4-phase cycle has been reviewed and enhanced to manage innovation projects.

The proposed methodology was used in a new product development project. The case study was done on one of the payment service provider companies that design, develop and deploy a digital product for marketing, installation, repair and maintenance of electronic funds transfer at point of sale devices.

No research has yet sought to identify the challenges of using PAR in innovation project management (IPM). Identifying the challenges associated with applying PAR in the IPM and providing an enhanced methodology to mitigate the challenges could fill a gap in IPM studies.

Employees’ personalities towards occupational outcomes have significantly gained academic attention. Personality traits (PTs) of employees as the determinant of corporate entrepreneurship (CE) outcomes research domain is emerging. This paper aims to assess extraversion PT activation for CE outcome under the problem-solving conflict handling style (CHS) situational cue.

The survey was conducted in automotive manufacturing firms in Pakistan for cross-sectional data collection. Structural equation modelling was used to assess the hypothesised theoretical model from 376 employees.

Results revealed a positive and significant impact of extraversion on CE. Also, employees with high extraversion traits were found to prefer the problem-solving style in managing workplace conflicts. The extraversion trait was also found to be activated under the situational cue of the problem-solving style.

The present study draws implications on person-job fit conceptions at the workplace while hiring, promoting and appointing employees. Personality assessment at the workplace is still in infancy in developing countries. The benefits of employees’ personalities can positively impact organisational performance measures like CE.

The present study has proposed the theoretical model based on Trait Activation Theory (TAT) and contributed theoretically through empirically testing the theoretical model by investigating the employees’ CHS role in activating their PTs towards the CE outcomes. Theoretically, using TAT conceptualisations in entrepreneurship and CE is novel as previous knowledge on PTs activation towards CE outcomes is non-existent. CHS as situational cues will attract social science researchers towards studying its role in various predictor outcome links across multiple work settings.