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The purpose of this paper is to examine the structural relationships among explorative learning strategy, improvisational creativity, compositional creativity, and innovation in information and communication technology small- and medium-sized enterprises (ICT-SMEs).

In total, 213 valid questionnaires from SMEs’ top management positions were evaluated to investigate the proposed model of the research empirically. As a methodological approach, partial least square (PLS) path modeling approach, a variance-based structural equation modeling was employed.

The statistical results imply that explorative learning has a positive impact on improvisational creativity and innovation while improvisational creativity has a positive influence on compositional creativity and innovation as well. Compositional creativity and innovation are also positively associated. Surprisingly, improvisational creativity mediates the relationship between explorative learning and innovation. Furthermore, PLS-multi group analysis reveals that heterogeneity exists in the collected data and number of employees is a moderating variable. The results of the research indicate that companies with number of employees between 51 and 100 are more creative and innovative in comparison with other groups. On the other hand, the positive relationship between explorative learning and compositional creativity was not supported in this research.

This study is one of the few research works in the realm of examining the structural relationship among explorative learning strategy, improvisational creativity, compositional creativity, and innovation in ICT-SMEs, regarding the number of employees as a moderating variable.

This study aims to advance understanding about quality management (QM) practices by clarifying how competitive strategy conditions the impacts of exploitative and explorative QM practices on performance.

The authors apply partial least squares structural equation modeling to data from a sample of German pharmaceutical firms.

The results show that the impact of exploitative and explorative QM practices on firm performance is contingent on the competitive strategy pursued. Explorative QM practices are significantly more relevant for firms following a differentiation strategy, whereas exploitative QM practices are significantly more relevant for cost leaders. Furthermore, for strategically ambidextrous firms that follow simultaneously a cost and a differentiation focus, the interplay of the two QM practices matters.

This paper contributes to understanding which kind of management practices, exploitative and/or explorative, have greater performance impacts under certain competitive strategy conditions.

The present study aimed to test the hypothesis that ethical leadership positively contributes to exploitative learning and explorative learning simultaneously and then examine the moderating role of work centrality in the relationships of ethical leadership with exploitative learning and explorative learning.

Time-lagged survey data were collected from 257 middle managers and their 257 immediate supervisors in 76 firms in China. Data were analyzed using structural equation modeling and Hayes' PROCESS macro for SPSS.

The results revealed that ethical leadership positively contributed to exploitative learning and explorative learning simultaneously. Importantly, the authors found that work centrality strengthened the positive relationships of ethical leadership with both exploitative learning and explorative learning.

The findings can help organizations enhance exploitative learning and explorative learning simultaneously and enable them to gain a sustainable competitive advantage.

Although explorative learning and exploitative learning together constitute fundamental resources for organizations' long-term success, prior research has not looked into whether and when leader behaviors facilitate explorative learning and exploitative learning simultaneously. The study contributed to fill this gap by introducing ethical leadership, signifying its positive role in enhancing both explorative learning and exploitative learning, and establishing work centrality as a moderator to reinforce these two positive relationships.

Organizational incentives and structures play a crucial role in realizing explorative and exploitative innovations in firms. Existing studies have neglected the role of trade-off mechanisms between the two on innovation ambidexterity. This study aims to investigate these trade-off mechanisms and their position on innovation ambidexterity.

Given the limited theoretical understanding, the authors conducted a case study with a sample of two Chinese firms with abundant interview and secondary data.

The results show that firms can develop innovation ambidexterity at two levels, namely, the time and space levels, using incentive synergy as well as organizational structures. Furthermore, the authors explain the role of the trade-off between incentive synergy and organizational structure in promoting a balance between explorative and exploitative innovation.

The authors propose trade-off mechanisms between incentive synergy and organizational structure and explore how trade-off mechanisms can play a role in promoting a balance of explorative and exploitative innovation at both time and space levels.

Virtual try-on (VTO) technology offers an opportunity for fashion and beauty brands to provide enriched self-explorative experiences. The increased popularity of VTOs makes it urgent to understand the drivers and consequences of the exploration of styles in VTO contexts (herein called self-explorative engagement). Notably, little is known about the antecedent and outcomes of the personalized self-explorative experience central to VTOs. This paper aims to fill this knowledge gap.

An online quasi-experiment (N = 500) was conducted in the context of fashion and beauty VTOs. Participants were asked to virtually try on sunglasses or lipsticks and subsequently answer a questionnaire measuring the key constructs: self-presence (i.e. physical similarity and identification), self-explorative engagement (i.e. exploration of styles in VTO context), brand cognitive processing and brand attitude. The authors analyze the data with structural equation modeling via maximum likelihood estimation in LISREL.

The experience of self-presence during consumers’ use of VTOs in augmented reality environments has a positive effect on self-explorative engagement. Furthermore, a mediation analysis reveals that self-explorative engagement improves brand attitude via brand cognitive processing. The results are confirmed for two popular fashion and beauty brands.

Grounded in extended self theory, to the best of the authors’ knowledge, this is the first study to show that a realistic VTO experience encourages self-extension via a process starting from the exploration of styles and results in increased brand cognitive processing and more positive brand attitudes. The exploration of styles is enabled by self-presence.

This study aims to investigate the intellectual capital (IC) dynamics in entrepreneurial ecosystems (EEs) by conceptualizing EEs as systems whose purposes include the (re)generation of the intangible resources needed for effective entrepreneurship. The study proposes a taxonomy of the key enablers of IC and develops a model that captures the unfolding interdependencies across the enablers of explorative and exploitative human, relational and organizational capital in EEs.

The authors purposefully selected a successful EE around an entrepreneurial university in Latin America as empirical case. Specifically, they investigated the IC dynamics of the EE in the context of a series of internationally awarded hackathons and related activities organized at the ecosystem level over three years (2019–2021). The research leveraged participant observations, in-depth interviews with multiple EE actors and archival documents. For the data analysis, this study combined the Gioia method with an abductive approach.

First, the study identified 27 operationalizable enablers of IC at the EE level clustered into human, relational and organizational capital and further differentiated these enablers considering the explorative and exploitative facets of IC. Second, it determined that the dynamic interplay across IC enablers is critical for an EE to flourish and evolve adaptively. This study concludes that assessing IC enablers and their dynamics can aid the understanding, evaluation and management of EEs.

To the best of the authors’ knowledge, this study is the first to conceptualize EEs as systems whose purposes include creating the conditions for an effective interplay of explorative and exploitative IC at the system level. The resulting taxonomy of IC enablers provides formative constructs that will benefit both scholars and practitioners investigating the crucial role of intangible resources in EEs and guide managers, entrepreneurs and policymakers in their decision-making processes.

Boundary-spanning exploration through establishing alliances is an effective strategy to explore technologies beyond local search in innovating firms. The purpose of this paper is to argue that it is useful to make a distinction in boundary-spanning exploration between what a firm learns from its alliance partners (explorative learning from partners (ELP)) and what it learns from other organisations (explorative learning from non-partners (ELN)).

The authors contend that alliances play a role in both types of exploration. More specifically, the authors discern three types of alliances (inside ties, clique-spanning ties and outside ties) based on their role vis-à-vis existing alliance cliques. Clique members are highly embedded, and breaking out of the cliques through clique-spanning and outside alliances is crucial to improving explorative learning. Thereafter, the authors claim that clique-spanning ties and outside ties have a different effect on ELN and ELP.

The empirical analysis of the “application specific integrated circuits” industry indicates that inside ties have negligible effects on both types of explorative learning. Clique-spanning ties have a positive effect on ELP, but not on ELN. The reverse is true for outside ties. The results show that research on explorative learning should devote greater attention to the various roles alliance partners and types of alliances play in advancing technological exploration.

The literature only emphasises the learning from partners, focussing mainly on accessing their technology. In sum, alliance partners play different roles in exploration, and their network position influences the role they are able to play.

Based on leadership and self-efficacy theories, this study investigates how team-level ambidextrous leadership influences employees' enterprise system (ES) use via their self-efficacy.

This study collected data from a cross-sectional survey including 218 employees working in 56 workgroups in a Chinese financial institution. The authors used a cross-level mediation analysis to test the research model.

The authors find that ambidextrous leadership influences employees' creative self-efficacy and performance self-efficacy and further improves employees' ES use. Moreover, creative self-efficacy mediates the relationship between ambidextrous leadership and explorative use, whereas performance self-efficacy mediates the relationship between ambidextrous leadership and both explorative and exploitative use.

This study first examines the relationships among ambidextrous leadership, self-efficacy and employees' ES use by developing a cross-level model. Furthermore, by considering ambidextrous leadership as an important team-level factor, this study extends a deeper understanding of ambidexterity theory of leadership in the ES context. In addition, our study extends self-efficacy theory by examining the mediating roles of the two types of self-efficacy (i.e. performance self-efficacy and creative self-efficacy) on ambidextrous leadership–ES use relationship.

As purveyors of knowledge-based and high value-added services to the manufacturing sector, industrial service small- and medium-sized enterprises (SMEs) must develop the information technology (IT) capabilities that, in combination with other non-IT capabilities, enable their capacity for organizational learning (OL) and for explorative learning in particular. In this context, this study aims to identify the different causal configurations that account for the nonlinear complex interplay of IT capabilities for exploration and strategic capabilities for explorative learning as they affect these firms’ competitive performance.

Survey data obtained from 92 industrial service SMEs were analyzed with a configurational approach, using fuzzy set qualitative comparative analysis (fsQCA).

As it allows for equifinality, the fsQCA analysis identified two sets of causal configurations that characterize the sampled firms’ explorative learning capability as it relates to competitive performance. In the first set, two configurations were equally associated with high innovation performance, whereas in the second set, four configurations were equally associated with high productivity.

By viewing explorative learning as a dynamic capability that is enabled by the firm’s IT and strategic capabilities, the study contributes to OL theory by providing a more concrete or “operational” grounding, which allows for a greater practical applicability of this theory. By taking both the configurational and capability-based views of the OL-IT-performance causal framework, the authors provide an empirical basis for unraveling, explaining and understanding the complex non-linear relationships embedded within this framework.

The purpose of the study was to analyse the impact of innovation ambidexterity represented by explorative and exploitative innovation capabilities and their combined effects on product innovation performance and to prove the mediating effect of decentralization.

The study uses partial least squares for structural equation models and SmartPLS version 3.3.1 on a sample of 174 Romanian medium- and large-sized firms from the IT industry to test six research hypotheses. To measure innovation ambidexterity, the orthogonal approach was used, conceptualizing innovation ambidexterity as a multidimensional, second-order construct composed of explorative and exploitative innovation capabilities. Innovation ambidexterity was conceptualized as a multiplicative term of both explorative and exploitative innovation capabilities.

The empirical results prove that innovation ambidexterity is positively correlated with product innovation performance, while decentralization is mediating the impact of innovation ambidexterity on product innovation performance in the IT industry.

The data was based on self-reported assessments of senior executives. While innovation ambidexterity may influence product innovation performance in the long term, such long-term effects are not assessed. Other studies found a moderating effect between centralization or decentralization and ambidexterity, while we found that it has a mediating effect.

In the context of innovation capability, the combination of explorative or exploitative capabilities may lead to a better synergy. Innovation ambidexterity influences product innovation performance through a synergistic effect, making the simultaneous combination of capabilities useful for firms willing to make efficient use of existing resources and make their capabilities mutually supportive. Moreover, for senior executives, the effects of decentralization as a mediator provide further incentive to include it in their development of firms' innovation capabilities.

This study extends findings of other studies by contributing to a deeper examination of the effects of decentralization, on innovation outcomes by focusing on a specific type of innovation, product innovation. Moreover, since innovation capability is often studied in small firms or in the manufacturing industry, this study contributes to the research on innovation capability and the consequences on innovation capability in the services sector and medium- and large-sized companies. By proving that decentralization mediates the effects of innovation ambidexterity on product innovation performance, it enables reconsideration of the organizational structure role in fostering innovation.