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This study aims to explore the factors undergirding knowledge creation in the university-industry complex inter-organizational arrangement. It builds upon social capital and relationship marketing theories.

This study uses a qualitative research design. In total, 36 innovation champions involved in knowledge creation were interviewed to provide detailed insights into the process. A thematic analysis of the in-depth interviews was conducted.

The principal finding was that opportunistic behavior was a significant barrier to knowledge creation. In severe cases, the knowledge creation process was destroyed, resulting in lost investment. Principled behavior and investment in affect-based and cognition-based trust, through five critical trust development activities, provided the best path to successful knowledge creation.

This study contributes to the knowledge management literature by providing insights into the enablers and barriers to the formation of cooperation, a crucial antecedent to knowledge creation literature. It also affords practical implications for innovation managers and policymakers on how they can improve knowledge creation by using social capital and relationship marketing theory in complex inter-organizational arrangements.

The study aims to develop a holistic model identifying the constructs that impact customer loyalty in retail banking and introduce product type as a moderating variable to the model.

A conceptual model of customer loyalty is introduced and empirically tested with 416 valid samples obtained from Australian retail banking customers. The data were analysed using partial least squares structural equation modelling and multigroup analysis.

This study confirms the moderating effect of high- and low-involvement products on the relationship between customer loyalty and satisfaction, trust, service quality, commitment and perceived value. Surprisingly, the effect of satisfaction on loyalty was much stronger with low-involvement product types and the effect of commitment on loyalty was much stronger with customers who utilise high-involvement products.

The study uses a sample population in Australia who utilise one of the top four banks and investigates three product types. Further research could expand the product selection and include customers who use credit unions and other banks not in the top four categories.

This study is the first to confirm the moderating effect product type has on the customer loyalty relationship in retail banking in regard to high- and low-involvement product categories. The research provides a deeper understanding of the factors that influence customer loyalty and identifies which types of products influences customer loyalty the most. Additionally, this study highlights the importance of understanding the different needs and priorities of customers using different product types in order to effectively influence their loyalty.

This article explains how business internships can be used to develop innovation skills in undergraduates.

Using work-integrated learning and current literature on innovation, this article proposes a theoretical framework to design, implement, and measure outcomes of Innovation-Focused Internships (IFIs). The article also uses an illustrative case study from an Australian university to discuss practical use of this framework.

The theoretical framework illustrates that stakeholders (i.e., students, industry, and university) need a common goal. Factors associated with managing innovation and student placements are key features of the framework. The illustrative case study demonstrates ways in which students gather both professional work experience and innovative skills.

The illustrative case study outlines practical strategies and challenges in IFI programs. Managing innovation-related challenges requires adjustments from all the stakeholders.

This article modifies the existing stakeholder interdependency model of work-integrated learning by combining it with innovation-related literature. The novel insights from the IFI program demonstrate how factors associated with students, industry, and university, and associations between these key stakeholders shape and determine IFI success.

The primary objective of this research is to test a model examining interpersonal trust between marketing managers and R&D managers during new product development projects.

In this study interpersonal trust as a bi‐dimensional construct with cognitive and affective components is conceptualised. The authors' integrative structural model specifies Weber's structural/bureaucratic dimensions – formalisation and centralisation to predict three communication dimensions, communication frequency, quality, and bi‐directionality. In turn these communication dimensions are used to predict cognition‐based trust, and affect‐based trust. In addition, the paper models the direct effects of the three communication dimensions on a dependent variable – perceived relationship effectiveness. The hypothesised model consists of 16 hypotheses, seven of which relate to the two focal interpersonal trust constructs. The measures were tested and a structural model estimated by using PLS. Data were provided by 184 R&D managers in Australia, reporting on their working relationship with a counterpart marketing manager during a recent product development project.

The hypothesized model has high explanatory power and it was found that both trust dimensions strongly influenced the effectiveness of marketing/R&D relationships during new product development, with cognition‐based trust having the strongest impact. The results also reveal which forms of communication help to build interpersonal trust. The most powerful effect was from communication quality to cognition‐based trust. The next strongest effects were from bi‐directional communication, which was a strong predictor of affect‐based trust, and a somewhat weaker predictor of cognition‐based trust. Interestingly, the direct effects of our three communication behaviours on relationship effectiveness were modest, suggesting that their relationship building effects are largely indirect. Last, it is revealed that bureaucratic means of control on product development projects have mixed effects. As expected, centralisation reduces cross‐functional communication. In contrast, formalisation has a positive effect during product development, as it stimulates both the frequency and bi‐directionality of communication between marketing managers and R&D managers on these projects.

This is the first study to treat interpersonal trust as the focal construct in marketing/R&D relationships during new product development. Moreover, it is the only study of marketing/R&D relationships to conceptualise, measure, and model two underlying dimensions of interpersonal trust (cognition‐based trust, and affect‐based trust). Our study also integrates aspects of Weber's theory of bureaucracy, with interaction theory, and demonstrates the strong links between these theoretical frameworks.

The Internet of Things (IoT), as one of the new digital technologies, has created wide applications in various industries, and one of the most influential industries of this technology is the transportation industry. By integrating the IoT with the transportation industry, there will be dramatic changes in the industry, and it will provide many entrepreneurial opportunities for entrepreneurs to develop new businesses. Opportunity identification is at the heart of the entrepreneurial process, and entrepreneurs identify innovative goods or services to enter a new market by identifying, evaluating, and exploiting opportunities. Despite the desire of transportation managers to invest in the IoT and the increase in research in this area, limited research has focused on IoT-based entrepreneurial opportunities in the transportation industry. Therefore, the present study aims to identify IoT-based entrepreneurial opportunities in the transportation industry and examine their importance.

To achieve the research objective, the authors applied a mixed approach. First, adapting the lens of the industry value chain theory, a comprehensive literature review, besides a qualitative approach including semi-structured interviews with experts and thematic analysis, was conducted to identify the entrepreneurial opportunities. The identified opportunities were confirmed in the second stage using a quantitative survey method, including the Student t-test and factor analysis. Finally, the identified opportunities were weighted and ranked using the best worst method (BWM).

Entrepreneurial opportunities are classified into five main categories, including “smart vehicles”, “business partners/smart transportation supply side”, “supporting services”, “infrastructures”, and “smart transport management and control”. The infrastructures group of opportunities ranked the highest amongst the identified groups.

This study adds to the digital entrepreneurship opportunity recognition literature by addressing opportunities in a smart industry propelled by digital technologies, including developing new products or new applications of the available technologies. Additionally, inspired by the industry value chain theory, this article develops a framework including various digital entrepreneurial opportunity networks which are necessary to add value to any industry and, thus, could be applied by entrepreneurs to recognize opportunities for new intermediaries to enter other digital-based industries. Finally, the present study identifies the IoT-based entrepreneurial opportunities in the smart transportation industry and prioritizes them, providing practical insights regarding the creation of entrepreneurial ecosystems in the field of smart transportation for entrepreneurs and policymakers.

This study mainly aims to explore the causal nexus between big data-driven organizational capabilities (BDDOC) and supply chain innovation capabilities (SCIC) and innovation performance (IP), then explore the indirect effect of SCIC and also test the moderating effects for both internal supply chain integration (ISCI) and external supply chain integration (ESCI) into the relationship between BDDOC and SCIC.

In order to test the conceptual model and the hypothesized relationships between all the constructs, the data were collected using a self-reported questionnaire by workers in Jordanian small and medium manufacturing enterprises. Partial least squares-structural equation modeling (PLS-SEM) was employed to test the model.

The paper reached a set of interesting results where it was confirmed that there is a positive and statistically significant relationship between BDDOC, SCIC and IP in addition to confirming the indirect effect of SCIC between BDDOC and IP. The results also showed that there is a moderating role for both ESCI and ISCI.

This study can be considered the first study in the current literature that investigates these constructs as shown in the research model. Therefore, the paper presents an interesting set of theoretical and managerial contributions that may contribute to covering part of the research gap in the literature.

The academic experience of top management team (TMT) has a positive impact on firms' innovation performance. However, existing studies predominantly focus on the educational qualifications and institutional prestige of TMT, failing to comprehensively evaluate whether TMT possess genuine academic experience and the role of academic competence. This article aims to examine whether TMT academic competence has a potential influence on firm innovation performance and to understand the mechanisms behind this relationship.

Using firm-level metrics of Chinese listed firms and TMT scholarly publication data spanning 2000–2021, this paper investigates whether TMT academic competence can promote firms' innovation performance and conducts a moderated mediating effect analysis.

(1) Academic competence of TMT can contribute positively to firms’ innovation performance; (2) university–industry collaboration partially mediates this relationship; (3) the mediating effect is enhanced by cognitive proximity and (4) distance proximity does not diminish the mediating effect.

Outcome of this study can assist academia in further understanding the impacts of TMT on firm innovation and aid government in promoting university–industry collaboration. Simultaneously, it can help firms adjust their TMT selection and training strategies to enhance innovation performance.

This article, as the first to construct an index of academic competence and to explore whether it has an impact on firms' innovation performance and its inherent mechanism, can provide a new research perspective for the study of the impact of TMT's characteristics on firms' innovation.