PurposeThe purpose of this paper is to propose a framework to improve the effectiveness of university–industry collaboration (UIC). This work enhances the existing body of literature and knowledge regarding collaboration and offers concrete steps to be taken for effective collaboration between universities and industries.Research MethodologyA literature review to study the best practices, impediments to collaboration and the various models proposed in the past for successful UIC was conducted. A workshop and focus-group meetings of practitioners and academic researchers was designed and organised to explore the current state of the university–industry engagement within the Australian Capital Territory (ACT) region and gather inputs regarding possible approaches to improve collaboration. The findings from the literature review and the results from this qualitative research regarding the approaches to improve the effectiveness of the collaboration were analysed.Results and implicationsThe study discovers that various measures have been proposed in the form of best practices or models to improve the effectiveness of UIC. However, these measures often address a specific concern such as technology transfer, intellectual property (IP), etc. There is a scope for a comprehensive holistic framework to address many aspects of UIC in order to improve effectiveness and achieve success. A framework for improving the effectiveness of collaboration considering a comprehensive list of factors operating in a broad context within the collaboration system was proposed.Originality/valueThe framework builds on previous literature dealing with measures for successful UIC. However, it is the first of its kind, in the researcher's knowledge, in terms of comprehensiveness of the factors contributing to establishing and sustaining successful collaboration. The value of the individual experience of the participants in this qualitative research, which is on average more than 10 years in the software engineering field, validates the importance and quality of the data collected. The addition of these results to the framework increases its validity.The framework can be utilised by universities and industry practitioners to foster successful and effective collaboration. The results have significant relevance, particularly within the Australian context as the government has intensified the adoption of measures to encourage and improve collaboration between universities and the industry.

PurposeThe primary purpose of this paper is to examine the relationship between people‐level learning dimensions, structural level‐learning dimensions and performance outcomes. The paper proposes and tests the original classification of dimensions of learning organization as given by Watkins and Marsick.Design/methodology/approachThe Dimensions of the Learning Organization Questionnaire (DLOQ) by Watkins and Marsick was adopted to gauge the relationship between people‐level learning dimensions, structural‐level learning dimensions and performance outcomes. In a modified model, empowerment was tested as a structural level dimension in the Indian context, while in previous studies carried out by Yang and Yang et al., it was treated as a people‐level dimension. This study adopted the smaller form of DLOQ and data were collected from 292 executives working in different types of organizations: manufacturing, consultancy, KPO, BPO, financial services and others, representing mostly domestic private, public sector organizations and multinational companies operating in the Indian National Capital Region.FindingsThe study results revealed that the relationship between people‐level learning dimensions and performance outcomes is mediated by structural‐level learning dimensions in the Indian cultural context. Statistical analyses revealed that the DLOQ has reasonable reliability in the Indian context. The findings are explained in relation to relevant context.Originality/valueThe value added is that the relationship between people‐level learning dimensions and performance outcomes is mediated by structural‐level learning dimensions in the Indian cultural context. This study confirms the validity of applying the DLOQ as determinants of a learning organization in the Indian context.

Purpose -The purpose of this study is to assess employees' perceptions of their organizations' orientation towards learning in manufacturing and service firms. Design/methodology/approach -The Dimensions of the Learning Organization Questionnaire (DLOQ) developed by Marsick and Watkins, was administered to 235 executives working in the National Capital Region (NCR) in India. Regression analysis with the help of Eviews 5 was utilized to investigate the difference between the dimensions of DLOQ in both the sectors. Findings -Results suggest a significant impact of structural level dimension on a firm's financial and knowledge performance. Furthermore, no difference was observed between manufacturing and service sectors in context of a learning organization (LO). Research limitations/implications -Data were collected only from organizations operating in India's National Capital Region. Originality/value -This research fulfills the literature gap in the domain of LO. It applies the LO approach and the DLOQ tool to examine the learning orientation of both manufacturing and service organizations in the NCR which has not been done so far in the literature. The results indicated greater impact of the structural level dimension as compared to the people level dimension irrespective of the sector in India.

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