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The rapidly changing international business landscape, driven by dynamic factors such as technology, emerging markets, and unpredictable crises, demands that organizations innovate to survive while gaining and sustaining competitive advantages. Culture, an intricate multilevel construct, presents challenges for transnational enterprises and international business as a key “soft” element of organizational strategy.

This paper employs a triangulated method combining a systematic literature search, machine learning, and qualitative thematic content analysis to explore the relationship between culture and innovation within the context of international business. The analysis involved scrutinizing 697 journal articles indexed in the Web of Science database.

Using k-means, which is an unsupervised machine-learning tool in Python, and hypertext preprocessor language scripting, we identified seven topic clusters and 94 keywords. Qualitative thematic content analysis facilitated the recognition of prevailing patterns in researchers' conceptualizations of the interplay between innovation and culture. We identified influential relationships between cultural configurations and innovation.

Our analysis contributes to developing a comprehensive research field map encompassing international business, innovation, and culture.

This study significantly enhances our knowledge of culture and international innovation. Future research that recognizes culture as a dynamic configuration at multiple levels (e.g. national, organizational, professional, and individual) and employs more comprehensive measures of innovation and culture could substantially advance our understanding of the intersection of culture and innovation in international business.

This paper aims to explore how the owners of less competitive micro-firms (MFs) perceive the “crisis–innovation–change management” triangle. It examines whether their understanding of these overarching entrepreneurship theory principles is inadequate compared to the relevant scientific literature.

This qualitative analysis follows principles based on the inductive method and grounded theory, thickly describing the results from research conducted in a sample of 38 tertiary-sector MFs in the Eastern Macedonia and Thrace region – one of the least developed and competitive areas across Europe. It triangulates the data with 11 respective small firms.

MF owners perceive the crisis as an ostensibly exogenous phenomenon, innovation as something quasi-unattainable – although vaguely significant – and change management as a relatively unknown process. This understanding lies somewhat distant from the extant literature that examines the structural nature of crises, the innovational power to exit profound restructurings and the rebalancing requisite for building new overall organizational methods to survive this internal–external transformation. In essence, the triangle crisis–innovation–change management is a blind spot for the examined MF owners as they ignore its significance as an adaptation mechanism – contrary to several direct competitors.

Based on the reluctance of these individuals to cultivate their systematic business knowledge, it seems unrealistic that they would seek to pay the necessary high price for business consulting in the future. An ideal solution would be to build public entrepreneurship clinics to provide these less dynamic and adaptable organizations with free preliminary or in-depth counseling. The Institute of Local Development-Innovation could aim to provide free consulting services to reinforce organizational physiology by coordinating different socioeconomic actors.

To the best of our knowledge, this empirical research is one of the first to test the comprehension of weaker MFs – less competitive and developed in organizational terms – to the triangle crisis–innovation–change management.

This study aims to explore how to overcome and address the loss of exploratory innovation, thereby achieving greater success in exploratory innovation. This phenomenon of loss occurs when enterprises decrease their investment in and engagement with exploratory innovation, ultimately leading to an insufficient amount of such innovation efforts. Drawing on dynamic capabilities, this study investigates the relationship between organizational foresight and exploratory innovation and examines the moderating role of breakthrough orientation/financial orientation.

This study used survey data collected from 296 Chinese high-tech companies in multiple industries and sectors.

The evidence produced by this study reveals that three elements of organizational foresight (i.e. environmental scanning capabilities, strategic selection capabilities and integrating capabilities) positively influence exploratory innovation. Furthermore, this positive effect is strengthened in the context of a high-breakthrough orientation. Moreover, the relationships among environmental scanning capabilities, strategic selection capabilities and exploratory innovation become weaker as an enterprise’s financial orientation increases, whereas a strong financial orientation does not affect the relationship between integrating capabilities and exploratory innovation.

Ambidexterity is key to successful enterprise innovation. Compared with exploitative innovation, it is by no means easy to engage in exploratory innovation, which is especially important in high-tech companies. While the loss of exploratory innovation has been observed, few empirical studies have explored ways to promote exploratory innovation more effectively. A key research implication of this study pertains to the role of organizational foresight in the improvement of exploratory innovation in the context of high-tech companies.

This paper contributes to the broader literature on exploratory innovation and organizational foresight and provides practical guidance for high-tech companies regarding ways of avoiding the loss of exploratory innovation and becoming more successful at exploratory innovation.

Although environmental pressures have been covered in great detail in prior literature as the drivers of eco-innovation, there remains inconsistency in the empirical results concerning the effects of these pressures on eco-innovation behaviour. Hence, this paper aims to investigate the impact of environmental pressures, namely, regulatory pressure, green demand and competitive pressure, on eco-innovation among manufacturing SMEs. Moreover, it examined the mediating role of environmental capabilities on the environmental pressure–eco-innovation relationship.

Quantitative data were collected using an online self-reported questionnaire survey to test the hypothesised model. A total of 183 valid questionnaires were collected from managers and owners of manufacturing SMEs in Egypt.

The results of the data analysis using the Smart-PLS software package revealed that among environmental pressures, only green demand had a direct effect on eco-innovation. In addition, environmental capabilities only mediated the effect of competitive pressure on eco-innovation.

This study has been one of the few addressing the issue of how the drivers of eco-innovation interact. It has also provided the managers and owners of SMEs and policymakers with practical implications.

The purpose of the article is to examine the concepts of knowledge management strategies, innovation and service quality in information technology companies that have research and development (R&D) departments in the technoparks of research universities.

The research was carried out in information technology companies with R&D departments in the technoparks of universities. Due to the “innovation” focus of the research, 302 engineers were selected by random sampling from engineers working in information technology companies in technoparks, and the prepared scale was sent to them via e-mail. In total, 302 units of data were subjected to path analysis and mediation effect analysis using the SmartPLS program.

In the research, it is supported by hypotheses that both knowledge management strategies and organizational innovation have a positive effect on the success of service quality and product innovation in information technology companies with R&D departments. At the same time, it can be explained as a result of analysis that innovation capability has both an independent and an intermediary variable effect.

Considering the limitations of the research, it is not correct to generalize the results of the analysis because the research was conducted only in information technology companies located in technoparks, and the data were collected from engineers working in these companies. For this reason, it is recommended that similar studies that are planned to be conducted in the future should do their research by taking this situation into account. At the same time, it is recommended to carry out future studies in different sectors and to bring the results obtained to the literature by comparing them.

The importance of information is increasing in technology-oriented companies where competition is increasing. Companies that cannot go beyond imitation or offer similar products and/or services cannot compete with their competitors in a competitive environment. The fact that companies can be successful in a competitive environment is supported by hypotheses as a result of the analysis that they need to develop organizational innovation and knowledge, as well as develop innovation capability at the same time.

The research is an original study in terms of examining the R&D departments of information technology companies operating in the technoparks of universities. Innovation and knowledge management strategies are examined within the scope of the research model by collecting data from information technology companies with R&D departments.

This study aims to explore the connections between intellectual capital and academic performance in Lahore, Pakistan’s higher education institutions (HEIs). The research delves into the mediation effect of dynamic capabilities, such as acquisition and exploitation, between intellectual capital and innovation within these educational institutions.

Grounded in the insights from a comprehensive literature review, the methodology uses a pre-tested questionnaire. Faculty members from private universities in Pakistan were chosen as the study's unit of analysis. Using a convenience sampling technique, data was gathered from 342 teachers and then analyzed using Smart (PLS) 3.3.3.

The results demonstrate that intellectual capital positively affects innovation. Acquisition and exploitation further mediate this influence, improving academic performance. Applying the knowledge-based view theory, the study confirmed the significance of all the posited hypotheses, underlining the positive interrelationships within Pakistan’s academic institutions.

The novelty of this research lies in its specific focus on the HEIs in Pakistan, demonstrating how intellectual capital and dynamic capabilities foster innovation, thereby enabling these institutions to maintain a competitive edge in a rapidly evolving educational landscape.

The literature mainly concentrates on the relationships between externally oriented digital transformation (ExtDT), big data analytics capability (BDAC) and business model innovation (BMI) from an intra-organizational perspective. However, it is acknowledged that the external environment shapes the firm's strategy and affects innovation outcomes. Embracing an external environment perspective, the authors aim to fill this gap. The authors develop and test a moderated mediation model linking ExtDT to BMI. Drawing on the dynamic capabilities view, the authors' model posits that the effect of ExtDT on BMI is mediated by BDAC, while environmental hostility (EH) moderates these relationships.

The authors adopt a quantitative approach based on bootstrapped partial least square-path modeling (PLS-PM) to analyze a sample of 200 Italian data-driven SMEs.

The results highlight that ExtDT and BDAC positively affect BMI. The findings also indicate that ExtDT is an antecedent of BMI that is less disruptive than BDAC. The authors also obtain that ExtDT solely does not lead to BDAC. Interestingly, the effect of BDAC on BMI increases when EH moderates the relationship.

Analyzing the relationships between ExtDT, BDAC and BMI from an external environment perspective is an underexplored area of research. The authors contribute to this topic by evaluating how EH interacts with ExtDT and BDAC toward BMI.

This paper aims to identify the combination of innovation determinants driving the creation of innovative products amongst market leaders and market followers in food and beverage (F&B) firms.

This research is based on the case study methodology by using two types of data sources: (1) semi-structured interviews with industry experts and (2) in-depth interviews with managers. In addition, a questionnaire adapted from prior research was used to consider market and firm types.

Suggesting an integrated theoretical framework based on firm-based factors and market-based factors, this study identified a combination of determinants significantly impacting innovative products in the market. Specifically, these determinants are competition intensity and innovation capability (a combination of research and development (R&D) investment and marketing capabilities). The study also examined how these determinants vary depending on whether the firms are market leaders or market followers.

This research provides practical insights for managers working in the F&B industry by using case studies and exploring the determinants of developing innovative products. In doing so, suitable strategies can be selected according to the market and firm situations.

The originality of the study is shown by focussing on how different combinations of market and firm factors could be applied in creating successful innovative products in the food sector.

The paper aims to examine the digital economy's influence on China's regional innovation and development. It focuses on direct effects and spatial spillover across regions, and the mediating role of human capital. This analysis is vital for policy and strategic planning in the digital era.

This study uses panel data from 30 Chinese provinces (2004–2019) and uses the entropy method to quantify the digital economy's development. It investigates its impact on regional innovation using a dynamic spatial Durbin model (SDM) and mediation effect model, assessing direct effects, spatial spillover and human capital's mediating role. Various control variables are included for comprehensive analysis.

Findings show the digital economy significantly boosts regional innovation, acting as a growth driver. However, impacts vary regionally, with the central region gaining more than the eastern and western areas. Spatial spillover effects are mixed, showing negative short-term and positive long-term impacts under different weight matrices. Human capital is crucial for fostering innovation through the digital economy.

The paper offers unique insights into the spatial dynamics of the digital economy's impact on regional innovation in China. It advances understanding of the digital economy's role in regional development using innovative methods like the entropy method and dynamic SDM. Highlighting human capital as a key mediating factor enriches discussions on digital economy strategies for regional innovation.

Although businesses continue to take up artificial intelligence (AI), concerns remain that companies are not realising the full value of their investments. The study aims to provide insights into how AI creates business value by investigating the mediating role of Business Process Management (BPM) capabilities.

The integrative model of IT Business Value was contextualised, and structural equation modelling was applied to validate the proposed serial multiple mediation model using a sample of 448 organisations based in the EU.

The results validate the proposed serial multiple mediation model according to which AI adoption increases organisational performance through decision-making and business process performance. Process automation, organisational learning and process innovation are significant complementary partial mediators, thereby shedding light on how AI creates business value.

In pursuing a complex nomological framework, multiple perspectives on realising business value from AI investments were incorporated. Several moderators presenting complementary organisational resources (e.g. culture, digital maturity, BPM maturity) could be included to identify behaviour in more complex relationships. The ethical and moral issues surrounding AI and its use could also be examined.

The provided insights can help guide organisations towards the most promising AI activities of process automation with AI-enabled decision-making, organisational learning and process innovation to yield business value.

While previous research assumed a moderated relationship, this study extends the growing literature on AI business value by empirically investigating a comprehensive nomological network that links AI adoption to organisational performance in a BPM setting.