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The purpose of this study is to advance the understanding of digitalization–sustainability relationships in the digital age. Specifically, this study aims to test the link between Chinese digital firms’ adoption of digital technologies and green innovation. This study highlights the peculiarities of digital firms related to green innovation and how the adoption of digital technologies contributes to the sustainable development agenda.

This study empirically examines the impact of digital technologies on green innovation outcomes in publicly listed digital firms in China from 2010 to 2020. Using panel data from the China Stock Market and Accounting Research Database (CSMAR) and the Chinese Research Data Services Platform, the authors estimate regression models and find support for the hypotheses.

The authors find that the digitalization level of firms has a positive impact on corporate green innovation. In addition, this relationship is positively moderated by the level of internationalization in the firms. Moreover, the results of this study past the robustness and endogeneity checks.

This study provides novel insights into the green innovation of digital firms by analyzing the knowledge management capabilities of digital firms as well as the impact of the level of internationalization on knowledge acquisition and management (i.e. boundary conditions). Specifically, the findings of this study provide a new context to encourage study on green innovation. Moreover, this study enriches the literature on corporate digitalization and the factors influencing corporate green innovation.

The objective of this study is to verify the role of national mechanisms of social empowerment in driving the development of the multidimensional nature of absorptive capacity at the national level, as a way of fostering innovation and economic prosperity for Latin American countries.

This research encompasses the 20 countries that make up the Latin American region. A Tobit model was used with censored data, in a panel format. The adoption of this model was necessary due to the characteristic of the dependent variable (national absorptive capacity) being an index that varies in the range of 1 to 7. The time horizon covers the period from 2006 to 2021.

The results show that the degree of economic development, institutions and locally developed innovation are the mechanisms for generating the multidimensional nature of the absorptive capacity of Latin American countries. The innovative base of the countries was the most significant variable and the biggest parameter to explain this relationship. This means that given the preexisting innovative capacity of these countries, it is possible to stimulate and increase the national absorptive capacity through this mechanism.

The originality of this article consists in analyzing the national mechanisms of social empowerment in the development of the multidimensional nature of absorptive capacity, which allows us to verify all the sources of absorptive capacity creation that can be transformed into innovation.

The purpose of the paper is to examine the trade structure of India’s pharmaceutical sector with a focus on intra-industry trade (IIT).

This paper starts with analysing export destinations and import sources using significant trade shares; the study calculates IIT between India and its consistent trade partners at an aggregate level and considers the problem of categorical aggregation at a disaggregate level. To determine the determinants of IIT at different levels, the Vector Error Correction model used production-related data to identify the drivers of IIT. Also, the Granger causality test was used for short-run causality.

This study examining India’s consistent trade partners from 1993 to 2023, finds long-run association and short-run causality. The results show a significant long-run association between total IIT and factors like unskilled labour share, invested capital, fuel consumption, total input and net value added. The key low-vertical IIT (LVIIT) drivers are invested capital, unskilled labour, fixed capital and total inputs. The negative long-run association between the total input and LVIIT obtained implies a rising level of total input cost, leading to a fall in IIT and LVIIT. Also, a negative association is obtained for unskilled labour and total IIT, while a positive association is obtained for LVIIT. In the short run, causality indicates that total IIT is influenced by invested capital and fuel consumption, while unskilled labour shares and total inputs drive LVIIT. Both IIT types impact invested capital, highlighting the need for policy intervention in input markets. It provides insights for improving quality trade expansion and correcting production-related factors.

Unlike other studies on the pharmaceutical trade in India, this study analyses India’s pharmaceutical trade for a longer time period, focusing on destination-wise analysis and calculating the intra-industry trade index while taking care of the problem of categorical aggregation. Further, the study attempted to find the long-run association with production-related drivers.

This paper aims to systematically review the managerial literature on Industry 4.0 (I4.0) in emerging markets (EMs) through bibliometric analyses to identify incipient research streams and literature gaps and recommend avenues for future research.

This research uses bibliographic coupling analysis (BCA) to obtain a comprehensive view of the intellectual contours within the addressed literature. The primary source utilised is the Web of Science database. A total of 345 peer-reviewed journal articles were retrieved. Complementing BCA, we use social network analysis and the content analysis of articles to study the resulting literature clusters.

The results reveal four thematic clusters: (1) Adoption of I4.0 in EMs; (2) impact of I4.0 on organisational aspects and financial performance of companies and supply chains in EMs; (3) I4.0, lean management and operational performance in EMs and (4) I4.0 and the development of sustainable practices in EMs. We supplement these results with the proposal of different future avenues of research, both general and specific, for each identified cluster.

The current study has certain limitations arising from using the bibliometric method and techniques employed in the analyses.

To the best of the authors’ knowledge, there is no comprehensive literature review article on this subject. This research is deemed valuable for future scholars as it facilitates the identification of research fronts that define the forefront of knowledge, reveals current trends and sets the stage for further exploration of key issues in the field. This, in turn, can offer valuable insights to academics, policymakers and practitioners.

This article examines the strategic actions of multinational corporations (MNCs) in creating social value at the base of the pyramid (BoP), providing insights into novel business models (BMs) and tactics employed for poverty alleviation.

This conceptual article links three relevant pieces of literature – creating shared value (CSV), the three-value creation logic and the three core values of social development – to analyze the current research and real-world examples of MNCs implementing the BoP BMs.

The article identifies four strategies and 11 tactics used by MNCs to adapt BMs elements (value proposition, value constellation and value capture) and generate social value at the different levels (coverture of basic needs, self-esteem and freedom from servitude) by following the distinct value creation logics (chain, shop and network).

This article provides a conceptual framework that links relevant literature and sheds light on the strategic actions that MNCs apply in their BMs to tackle the multidimensionality of poverty in the BoP markets.

This paper aims to examine the direct and indirect impact of competitive intelligence (CI) practices on sustainable competitiveness (SC) and firm performance (FP) mediated by strategic design collaboration (SDC).

This empirical study is based on a survey of 179 respondents comprising senior managers from pharmaceutical companies operating in Egypt across three sectors: public, private and multinational corporations (MNCs).

The results show that CI has a positive and significant impact on SDC, which, in turn, positively impacts SC and FP. The study also shows that SDC mediates the relationship between CI and both SC and FP.

This study sheds light on the significant and mediating role of SDC in explaining the relationship between CI and both SC and FP.

This study comprehensively reviews the Fourth Industrial Revolution, which refers to Industry 4.0 (IR 4.0) applications in small and medium enterprises (SMEs). Multinational companies and big corporations have the capacity and resources to implement IR 4.0, but SMEs are limited due to financial constraints, expertise and lack of resources. Even so, IR 4.0 is required as technologies evolve and market demand has changed how firms do business.

To uncover the potential of IR 4.0 and critical determinants of SMEs’ adoption of IR 4.0, this study presents a bibliometric analysis to evaluate the current research streams in IR 4.0 adoption among SMEs through bibliographic coupling. Furthermore, this review provides a glimpse of the future by analyzing prospective trends on IR 4.0 in SMEs.

Bibliographic coupling produces five clusters: (1) challenges and barriers in IR 4.0 implementation among SMEs, (2) technological adoption of IR 4.0, (3) opportunities and benefits of IR 4.0, (4) business model innovation and (5) implication of IR 4.0 on SMEs technologies. On the contrary, co-word analysis produces three clusters: (1) technologies in IR 4.0, (2) strategy and management of IR 4.0 among SMEs and (3) IR 4.0 model for SMEs.

Implications are directly related to business owners, policymakers and technology developers meeting the needs of the industry and SMEs, which are the focus of this review.

The findings contribute significantly to the body of knowledge by presenting a state-of-the-art science mapping approach to uncover the knowledge structure and intellectual linkage of IR 4.0 adoption within SMEs.

This study aims to establish an understanding of commonsense, a valuable mechanism for navigating disruptive, volatile, uncertain, complex and ambiguous (DVUCA) environments.

This study conducts a scientometric (bibliometric) analysis of commonsense through the lens of tacit knowledge, practical intelligence and sensemaking to unpack is nomological network.

This study reveals that tacit knowledge, practical intelligence and sensemaking are pivotal to the conceptualization of commonsense, crucial for navigating DVUCA environments. These elements interact within organizational contexts, influencing knowledge dynamics, decision-making processes and ethical leadership. The findings not only affirm the foundational role of these components in commonsense but also highlight their interplay in fostering organizational resilience, adaptability and strategic agility. This synergy underlines commonsense as a multifaceted and dynamic capability essential for effective management and leadership in complex settings.

This study significantly enriches the theoretical landscape of commonsense by mapping its components within a scientometric-established nomological network. By identifying the interconnected roles of tacit knowledge, practical intelligence and sensemaking in organizational settings, it invites future scholarly endeavors to further dissect these relationships. It also encourages the exploration of additional elements such as emotional intelligence and cultural factors that may influence commonsense. This research opens new avenues for examining how these foundational aspects can be systematically nurtured and developed within diverse organizational environments.

This study provides actionable insights for organizational leaders and policymakers. Understanding the critical roles that tacit knowledge, practical intelligence and sensemaking play in navigating complex environments can guide the enhancement of training and development programs to strengthen these capacities. The importance of fostering a culture that supports continuous learning and ethical leadership is emphasized, as these elements are essential for sustaining competitive advantage and ensuring responsible governance. Managers are encouraged to integrate structured sensemaking processes and practical intelligence into strategic decision-making to improve adaptability and resilience when facing DVUCA challenges and opportunities.

This study offers a pioneering exploration of commonsense through the integration of tacit knowledge, practical intelligence and sensemaking into a cohesive framework. Employing scientometric analysis, the study provides a comprehensive understanding of how these cognitive processes interact to facilitate decision-making and problem-solving in complex environments. The study enriches knowledge management by presenting a refined perspective on the interplay between these elements, deepening the understanding of how commonsense is generated and applied within organizational settings. This contribution significantly enhances theoretical discourse on adaptability, decision-making and resilience in DVUCA environments.

The new teleworking conditions imposed by extreme events such as the COVID-19 pandemic blur the border between home and official working space, amplifying the conflicting demands of family and work life experienced by employees across national cultures. Drawing on conservation of resources (COR) theory, this study explores cross-national variances in the underlying mechanism of how family–work conflict (FWC) affects employees’ operational and marketing productivity in the global epidemic-induced teleworking context.

This study conducts a large-scale and cross-national survey of 710 remote employees who worked from home partially or fully during the COVID-19 outbreak across three countries: the USA, the UK and Vietnam.

The results show that FWC drives affective commitment, leading to greater employees’ operational and marketing productivity when teleworking. We also find distinct moderating effects of organizational factors (i.e. task control) and employees’ psychological factors (i.e. emotional exhaustion) on the FWC–operational productivity link across the three countries. Moreover, centralization positively moderates the effect of operational productivity on marketing productivity in the teleworking context in Vietnam, while it is not the case in the USA and the UK.

This study fills a gap in the literature by revealing cross-national differences in the underlying mechanism of the FWC effects on employees’ operational and marketing productivity in the pandemic-induced teleworking conditions. It extends extant studies in the work–family literature by introducing affective commitment as an important mediator in translating the negative consequences of FWC to operational and marketing productivity gain in crisis-driven teleworking across national cultures. We also provide insights into the distinct moderating roles of task control and emotional exhaustion in determining the FWC effect on operational productivity as well as that of centralization in driving marketing productivity. The findings have substantive implications for teleworking design and management to improve employee productivity across different national settings.

The aim of this research is twofold: (1) to investigate when the effect of R&D investment on New Product Development (NPD) performance peaks – the sweet spot and (2) to analyze the influence of firms’ export activities on where that spot is. Drawing on the knowledge-based view (KBV), we argue that export intensity and export experience lead to differential effects on how R&D investments are converted into new products.

We test our conceptual framework using time lagged data and optimal-level analysis. The dataset consists of an unbalanced panel of 608,891 observations and 333,516 firms.

The results support the expected inverted U-shaped relationship between R&D investment and NPD performance. They also show moderating effects of export intensity and experience. Export intensity enhances innovation processes by enabling firms to stretch the points at which R&D investments eventually taper off. In contrast, export experience improves firms’ ability to convert R&D investments into NPD performance. Our results demonstrate that, all else equal, firms with relatively higher export experience can spend less on R&D and still achieve higher levels of NPD performance.

We contribute to the literature by investigating how export activities provide a valuable context for understanding the theoretical mechanisms that help explain the inverted U-shaped relationship between R&D investment and innovation. We show the effects of exporting activities on the precise points where the R&D investment–NPD performance relationship peaks, thereby identifying the optimal point within this nonlinear relationship.