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The purpose of this paper is to extend current discussion on the drivers of innovative work behavior (IWB) by exploring how individual perceived diversities (visible dissimilarity and cognitive group diversity) and climates (team/clan and innovative/entrepreneurial) impact IWB.

Data had been collected from a cross-national study of working professionals (n = 584) from five different cultural contexts.

Findings of this study indicated that cognitive group diversity mediated the negative relationship between visible dissimilarity and IWB. Further, both innovative/entrepreneurial and team/clan climates moderated the relationship between visible dissimilarity and cognitive group diversity. Such a moderation effect reduced the negative effect that visible dissimilarity had on IWB.

A cross-sectional single-source data set.

From a managerial perspective, climates (team/clan and innovative/entrepreneurial) are central for IWB in the diverse (visible and cognitive) working environment. Thus, organizations should pay attention to create a climate (team/clan or/and innovative/entrepreneurial) that reduces the negative impact of perceived diversity in the working environment while supporting IWB.

This study is the first of its kind that is based on social categorization theory, empirically examining how different types of diversity (visible dissimilarity and cognitive group diversity) simultaneously reduce individuals’ IWB. Furthermore, this paper provides insights that climates (team/clan and innovative/entrepreneurial) are crucial for IWB in the diverse working environment.

Smart industry initiatives focus on intelligent and interconnected cyber-physical systems. These initiatives develop complex technical architectures that integrate heterogenous technologies, causing significant organizational complexity. Tapping into the digital capabilities of distant partners while capturing profit from such innovation is demanding. Furthermore, firms often need to establish and orchestrate inter-organizational collaborations without prior relations or established trust. As a result, smart industry initiatives bring together disparate organizational forms and institutional environments, distinctive knowledge bases, and geographically dispersed organizations. We conceptualize this organizational capability as ‘distant capabilities integration’. This research explores the governance mechanisms that support such integration and their relation to value capture. We analyse 11 IoT case studies organized in three categories (process, product and technologies) of smart industry initiatives. Building on existing literature, we consider different ways to describe distance, including knowledge heterogeneity and organizational, geographical, institutional, cultural and cognitive distance. Finally, we describe the governance mode appropriate for upstream (developing foundational technologies) and downstream (leveraging existing distant technologies) smart industry initiatives.

The purpose of this paper is to investigate which critical success factors (CSFs) influence interaction on campuses as identified by the facility directors (FDs) of Dutch university campuses and to discuss how these compare with the literature.

All 13 Dutch university campus FDs were interviewed (office and walking interview), focussing on CSFs relating to spaces and services that facilitate interaction. Open coding and thematic analysis resulted in empirically driven categories indicated by the respondents. Similarities and differences between the CSFs as previously identified in the literature are discussed.

The following categories emerged: constraints, motivators, designing spaces, designing services, building community and creating coherence. The campus is seen as a system containing subsystems and is itself part of a wider system (environment), forming a layered structure. Constraints and motivators are part of the environment but cannot be separated from the other four categories, as they influence their applicability.

This study was limited to interviews with FDs and related staff. The richness of the findings shows that this was a relevant and efficient data collection strategy for the purpose of this study.

By viewing the campus as an open system, this study puts the practical applicability of CSFs into perspective yet provides a clear overview of CSFs related to campus interaction that may be included in future campus design policies.

This (more) complete overview of CSFs identified in both literature and practice will help FDs, policymakers and campus designers to apply these CSFs in their campus designs. This improved campus design would increase the number of knowledge sharing interactions, contributing to innovation and valorisation. This could create a significant impact in all research fields, such as health, technology or well-being, benefitting society as a whole.

This study provides a comprehensive overview and comparison of CSFs from both literature and practice, allowing more effective application of CSFs in campus design policies. A framework for future studies on CSFs for interaction on campuses is provided.

The present article aims to examine the development of the theoretical framework surrounding collaborative consumption (CC) standards in recent years regarding European short-stay accommodation booking platforms. The sharing economy has significantly impacted the tourist accommodation market in recent years. Starting with the use of experimental data on CCs published on Eurostat in 2019, this article analyzes the correlation between choices of CCs for short-stay accommodation, employment and the economic crisis.

A vector autoregressive panel approach was applied to investigate the correlation between CC short-stay accommodation choices using panel organization data from 561 EU regions between 2018 and 2021.

Analyzing the connection between the main data panel variables, a positive correlation was found, followed by an increasing trend in CC use. A self-multiplying effect is generated; that is, the more people use CC, the more electronic captures occur. Consequently, the improvement of CC use and knowledge-intensive activities in short-stay accommodation is strongly linked with employment and GDP.

The originality of the investigation is to examine with a cross-sectional panel data overview the reasons that can push stakeholders to adopt CC and to clearly define a new perimeter of research in terms of the endpoint of CC in short-stay accommodation. Furthermore, the study seeks to assess the end-point congruence to utilize CC as a new gamble to accelerate digital knowledge in the hospitality sector.

This research aims to contribute to the literature on sustainable hospitality and tourism by applying social network analysis to identify sustainable tourism business networks and untangle the role of cognitive and geographical proximity in their formation.

Data mining and machine learning techniques were applied to data collected from the websites of tourism companies located in northeastern Italy, namely, the Veneto region. Specifically, the authors used Web scraping to extract relevant information from the internet.

The results support the existence of geographical clusters of tourist accommodation providers that are linked by strong cognitive proximity based on sustainability principles that are well communicated via their websites. This does not appear to be greenwashing because companies that have agreed on sustainability principles have also implemented concrete actions and tend to signal these actions through a variety of sustainability certifications.

The results may guide tourism managers and policymakers in developing tourism initiatives directed at the creation of fruitful collaborations between similarly oriented organizations and methods to support clusters of sustainable tourism accommodation. Identifying sustainable tourism networks may assist in the identification of potential actors of change, fueling a widespread transition toward sustainability.

In this study, the authors adopted an innovative methodology to detect sustainability-oriented tourism business networks. Additionally, to the best of the authors’ knowledge, this study is one of the first to simultaneously explore the cognitive and geographical connections between tourism businesses.

This study aims to examine the impact of geographical and business proximity between parent companies and affiliates on R&D investments in business groups. Furthermore, it compares the moderating effect of value chain participants’ bargaining power and the performance-aspiration gap.

This study uses data from 411 Chinese private manufacturing listed firms affiliated with business groups. This paper conducts regression analysis using Stata 16.0 software. Additionally, this paper employs combined random effects regression models, the 2SLS method and GMM method.

Geographical distance between focal affiliates and parent companies is negatively related to focal affiliates’ R&D. The higher the business proximity between focal affiliates and parent companies, the more R&D investments are made. Further research shows that with stronger bargaining power and a wider performance-aspiration gap, the negative relationship between geographical distance and R&D investment weakens.

This study contributes to the R&D investment literature by offering a novel perspective on why proximity influences affiliates’ R&D investments in Chinese business groups. This study enriches the proximity theory by introducing business proximity as a new dimension into the framework. Furthermore, this study highlights the boundary conditions of the proximity theory by ascertaining the moderating effects of bargaining power and the performance-aspiration gap.

This paper focuses on bank audit committees and examines whether audit committee members who are former auditors are associated with the acquisition of audit and non-audit services from their former employers.

The study empirically examines a sample of large banks that are included in the S&P Composite 1500.

The paper reports significantly lower audit fees and a higher proportion of non-audit fees to total fees when the audit committee chair is an alumnus of the incumbent audit firm. Moreover, additional analysis reveals that these findings are stronger for banks with more earnings management.

Overall, the findings indicate that audit firms might consider banks using their alumni as audit committee chairs to be less risky or easier to audit, thus requiring relatively less effort from the auditors. The reduced effort required to audit clients with audit firm alumni on their audit committees then has the effect of reducing the audit fees charged. Alternatively, their auditing experience and cognitive proximity might influence the assessment of the need for auditing or the ability to negotiate lower audit fees on the part of audit firm alumni.

This paper provides empirical evidence of the association between audit firm alumni in influential positions on an audit committee and fees paid to those audit firms in the banking industry. The findings contribute to the literature by suggesting that banks with affiliated former auditors chairing their audit committees not only have significantly lower audit fees but also a higher proportion is spent on non-audit services.

This paper aims to map literature about innovation capabilities (IC) taking into consideration industrial clusters to propose a conceptual framework that synthetizes the main factors and subfactors responsible for ICs; in addition, the paper also proposes a research agenda.

A systematic literature review (SLR) was performed; academic papers were analyzed qualitatively and quantitatively.

The authors provide a descriptive analysis followed by a thematic synthesis, in which we present 05 enablers and 20 critical factors (CF) of IC in clusters. The proposed framework emphasizes what needs to be done or improved to increase IC in cluster-based companies. Based on this systematic review and the framework proposed, the authors identified opportunities for future research.

The enablers and CF identified through SLR were not validated empirically. Therefore, future studies on the current topic are required to validate the framework by investigating which factors are more relevant to cluster-based companies that intend to improve their innovative performance.

The present findings have important implications for the identification of the factors and subfactors that may contribute to the development of IC, which may help managers and decision-makers in recognizing which factors are the most responsible for business innovation.

The paper identifies enablers related to the development of IC in industrial cluster and presents a research agenda. The framework represents a guideline for companies to achieve better innovation performance.

Innovation ecosystems (IEs) have attracted the attention of policymakers and researchers because of their potential to positively affect territories, creating shared value. However, due to the fragmentation of IEs, how this happens in different IEs has been explored only partially. This research aims to bridge this gap, aiming to support policymakers in understanding how to foster shared value in diverse IEs.

The paper identifies, based on the literature, two “drivers of aggregation” of IE's actors as key dimensions characterizing shared value in IEs, namely physical proximity and dominant issue. If these are combined, three archetypes emerge: Hub- and Chain-Driven, Place-Driven, Competence- and Issue-Driven IEs.Then, elements useful for understanding shared value creation in these archetypes are framed and studied in real cases.

Results reveal that aggregation drivers affect shared value creation, which differ among archetypes: in Competence- and Issue-Driven IEs alignment is challenged by the low physical proximity, which in Place-Driven IEs is high, but not enough to grant shared value; in Hub- and Chain-Driven IEs, the hub is the orchestrator, representing both a driver and a risk.

Differences in shared value creation processes relate to the set-up of the IE, which has relevant implications for policy definition. In Competence- and Issue-Driven IEs, policies at diverse levels align in funding and promoting the IE; in Place-Driven IEs, policies support anchors' development on-site; in Hub- and Chain-Driven IEs, policies, sometimes absent, should foster partnerships for projects for the territory, IE's enlargement and resilience.