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This paper aims at understanding the differences between user profiles in collaborative consumption (CC) platforms in order to improve their management approaches and set up customized strategies. Particularly, the authors investigate the emerging role of prosumers and their influence on the active participation and growth of CC platforms. Moreover, the authors study user experience to help promoting users' recommendation and offering intention.

The sample includes responses from 6,388 users of CC platforms across the EU. The data were collected through the European Commission's Flash Eurobarometer survey 467 and analyzed through a partial least squares structural equation modeling (PLS-SEM) and a fuzzy set qualitative comparative analysis (fsQCA).

The PLS-SEM findings suggest that prosumers are more likely than consumers to recommend and offer services through CC platforms. Furthermore, previous experience using platforms positively affects the switch from consumers to prosumers. The fsQCA suggests that only economic advantages affect the switchover decision.

This study deepens the hitherto unexplored prosumer role in CC platforms and its antecedents and drivers.

The main limitations concern the generalizability outside of the EU, the unbalanced coverage of sectors and the number of moderator variables.

Prosumers act as golden actors because they contribute to enlarge both the customer base (through recommendations) and the provider base (through offering intention). Hence, managers should focus on prosumers' experiences to increase the critical mass and positive externalities of CC platforms.

This study helps understand the importance of the role of prosumers in the growth of CC platforms. The study provides more robust results through a cross-country and mixed-method research.

This work aims at investigating the variables that foster antifragility in the context of small and medium-sized service companies (service SMEs).

This work adopts an exploratory approach in order to deepen five examples of service SMEs that were able to change their own business models and to reinforce their strategic position while facing the COVID-19 pandemic.

The ingredients of antifragility ability include: entrepreneurial orientation, context insightfulness and operational dexterity. This article singles out the resources and capacities backing the blossoming of antifragility abilities in service SMEs. Slack financial resources, many and diverse research-and-innovation partners, operational dexterity, fastness and creativity are included among such resources and capabilities.

Crises may occur frequently in many ways; thus, this work provides some guidance geared to services SMEs in order to increase their level of preparedness for future crises and to nurture their ability to transform them into opportunities.

Despite many concepts associated with antifragility have been dealt with in literature such as resilience or agility, antifragility is hitherto underexplored. This article is among the first ones to explore factors fostering antifragility in service SMEs.

Adopting Ajzen’s theory of planned behaviour theoretical framework, this paper aims to explore repurchase intentions among short-term rental users and changes in determinants of repurchase intention in the context of the COVID-19 pandemic.

Data for the research was collected via a cross-country quantitative survey (N = 1,433) in five European countries: Croatia, Italy, Spain, Turkey and the UK during 2020. Trust, perceived value, authenticity and perceived risk were incorporated into the structural equation model as part of an integrated analysis of antecedents of repurchase intention.

Perceived value and authenticity are the key drivers of a positive attitude to repurchase of short-term rentals even after the pandemic. The pandemic modified the role of perceived risk in determining attitude towards short-term rentals as perceived risks could negatively affect attitude and repurchase intention after COVID-19. Trust in the platform and the host became a significant determinant of repurchase intentions after the spread of COVID-19.

The analysis has shown the link between attitude, subjective norms, perceived behavioural control and repurchase intention, and has thus demonstrated a successful application of the theory of planned behaviour to short-term rental users.

The results of this study suggest a possible reconceptualisation of repurchase determinants due to the pandemic. The study offers a timely contribution to the research on the impact of the pandemic on the determinants of tourists’ repurchase intentions.

The paper focuses on the management of the innovation process. It provides a more comprehensive approach for the analysis of the mutual relationships among creativity, knowledge and innovation (CKI), thus going beyond the one-to-one basis of analysis prevailing in literature. Given the varied set of stakeholders concerned with innovation process outcomes, the need for adopting different perspectives emerges (i.e. macroeconomic, institutional, socio-cultural and corporate). A framework, including a set of indicators grouped by perspective is proposed in order to help capture several outputs of innovation processes.

This is a qualitative research paper based on the literature review and the development of theoretical remarks. The multiple-case study approach corroborates the theoretical analysis.

The model aims to provide an operating tool for the management of innovation processes. It helps to assess the impact of innovation plans and operating actions at any level. The model may support decision making and control tasks in operating contexts, providing a strategic tool for governments and managers. This paper may encourage academicians to refine the CKI perspective and improve the model's capacity to predict and assess the impacts of innovation processes.

The framework may help when analyzing a CKI interaction system. It allows understanding of the dynamics between creativity vs knowledge resource policies (creativity-based approach vs knowledge-based approach) and innovation goals. The model also serves to deepen the circular nature of CKI interactions and their outcomes.

As little is known about the productivity levels of small and medium-sized enterprises (SMEs) engaging with universities and the relative changes in productivity of SMEs subsequent to these collaborations, the paper examines the following questions: (1) Does the relative productivity of SMEs engaging in university collaboration differ from those that do not? (2) Are subsequent changes in firm productivity following university collaboration related to their initial levels of productivity?

The paper utilises data on 254 SMEs from the Longitudinal Small Business Survey and uses two statistical techniques: First, bivariate tests of difference were used to inspect the relationships between productivity levels and whether the firm collaborated with a university to introduce its innovation. Second, ordinary least squares regressions were used to test whether the future productivity of SMEs that collaborated with universities was related to their initial productivity levels.

The analysis reveals that SME–university collaboration is unrelated to starting productivity. Furthermore, the analysis suggests a nonlinear relationship exists between the starting productivity of SMEs and their subsequent productivity following a university collaboration. Therefore, higher levels of subsequent productivity are observed among those SMEs where starting productivity was either relatively low or high, suggesting that collaborations have a transformative effect on SMEs with relatively lower initial levels of productivity and a maintenance effect for SMEs with relatively higher levels of initial productivity.

Given the fact that the extant literature also suggests that, overall, university collaboration is beneficial, policymakers should strive to encourage greater levels of collaboration involving SMEs. In light of the evidence that SME–university collaborations can transform less productive firms, it appears unjustified for practitioners and policymakers to only consider stronger-performing firms to be included in such programmes.

The study contributes new theoretical and practical knowledge to the understanding of the role of firm productivity in predicting the proclivity of firms to collaborate with universities. Furthermore, as few studies have examined the impact of these collaborations on the subsequent productivity of firms that collaborate with universities, this paper fills an existing gap in the literature.

This study explores the influence of the Top Management Team (TMT) social capital on business model innovation in business ecosystems.

This study examines the impact of internal and external TMT social capital on enterprises’ business model innovation, explores the relationship between internal and external TMT social capital, and investigates how business ecosystem health moderates the relationship between external TMT social capital and enterprises’ business model innovation. These hypotheses are proposed and tested using a hierarchical regression analysis with data from 168 Chinese firms.

First, both internal and external TMT social capital exert a significantly positive influence on an enterprise’s business model innovation. Second, internal TMT social capital positively contributes to the development of external TMT social capital, affecting business model innovation. Finally, the moderating effect of business ecosystem health on the relationship between external TMT social capital and business model innovation depends on the dimensions. Specifically, the productivity of the business ecosystem negatively moderates this relationship, whereas the niche creation capability of the business ecosystem has a positive moderating effect.

These findings enrich prior research on business model innovation within the business ecosystem, thoroughly exploring the critical role of TMT social capital. This study reveals the diverse impacts of internal and external TMT social capital on business model innovation and the intricate relationship between these elements. Furthermore, it emphasizes that the success of enterprise’s business model innovation within a business ecosystem depends on the alignment and adaptation to dynamic ecosystem conditions. By presenting these insights, this study provides valuable practical implications for enterprises aiming to cultivate social capital within business ecosystem to facilitate business model innovation.

Although the facilitating role of green customer integration in business-to-business (B2B) markets has been highlighted in some green product innovation literature, analysis of the difficulties it can pose is still an underdeveloped field. This paper extends the conflict-based view and examines the effect of green customer integration on customer–firm conflicts and thereby investigates the influence of conflict on green product innovation.

This study conducts a questionnaire survey. Ordinary Least Square regression and structural equation model with Maximum Likelihood Estimation are applied to test the hypotheses.

The results show that green customer information integration is positively related to cognitive conflict, whereas green customer process integration has an inverted U-shaped relationship with cognitive conflict and a positive relationship with affective conflict. Moreover, green product innovation is promoted by cognitive conflict and is damaged by affective conflict.

This study highlights the conflict-related factors that play a role in firm–customer collaboration for green product innovation in B2B markets. It also reveals the potential dark side of green customer integration by explicitly delineating its effects on conflicts.

This study aims to offer and validate an integrated marketing capability-product innovations framework. Particularly, it aims to examine the role of adaptive marketing capability in enabling market ambidexterity and incremental as well as radical product innovation. Also it intends to investigate the moderating role of transformational leadership between adaptive marketing capability and market ambidexterity.

Manufacturing firms in Pakistan, an emerging economy, are taken as the context for this study. A designed survey questionnaire is used for data collection. Partial least square technique is employed to empirically validate and test the hypothesized model with a sample of 192 manufacturing firms. Particularly, the two-stage approach in SmartPLS is used to validate measurement models, and structural equation modeling technique is used to test the proposed hypothesis.

The findings not only confirm that adaptive marketing capability is instrumental to both incremental and radical product innovations but also reveal that adaptive marketing capability serves an important antecedent to market ambidexterity shedding new lights on its mediating role in the relationship of adaptive marketing capability with incremental and radical product innovations. Moreover, the results find that the effectiveness of adaptive marketing capability to support market ambidexterity may involve a possible trade-off between exploitation and exploration when the leaders exhibit a low or high level of transformational leadership behavior.

This study contributes to outside-in strategic perspective and contextual ambidexterity literature by revealing the role of adaptive marketing capability as an important enabler of market ambidexterity which, in turn, allows the firm to simultaneously introduce incremental and radical product innovations. In this way, this study advances the current understanding of the antecedents and consequences of contextual ambidexterity. Also, this study provides insight into the types of capabilities needed for the firm's contextual and employees' behavioral adaptation to simultaneously manage exploitation and exploration within the same business unit which was lacking in the previous literature. Further, this study also offers a novel understanding of the conditional role of transformational leadership between adaptive marketing capability and market ambidexterity.

Despite typically being regarded as “low tech”, the food manufacturing and technology sector is increasingly turning to open innovation practices involving collaboration with universities in order to innovate. Given the broad range of activities undertaken by this sector and the fact that it utilises analytical, synthetic and symbolic knowledge for innovation, it makes an interesting case study on the factors that influence the formation of university–industry (U–I) links. The paper aims to discuss this issue.

Using data from 249 collaborative projects that occurred between UK universities and food manufacturing and technology firms, the analysis utilises a logistic regression model based on a “synthetic counterfactual approach” to modelling the probability a collaborative link will be established with one university and not others.

The results suggest that organisational proximity, conceptualised through the presence of prior ties between actors, has the largest influence on the formation of U–I links. In addition, spatial and technological proximities between actors also have a positive influence on link formation. This result suggests that the specificity of knowledge of the food sector is important in the formation of these U–I links.

The results suggest that the open innovation practices of food manufacturing and technology firms are like other sectors, even though their innovation practices are considered to be different. However, the limitations of the paper mean that these findings may be specific to firms in the food manufacturing and technology sector in the UK.

The food sector is under-represented in empirical studies on university collaboration; this paper addresses this and provides new insights into the formation of these links.