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Due to the vital role of innovation for firms to respond effectively to the rapid changes of business environment, the purpose of this study is to explore the influence of transformational leadership (TL) on innovation capability of firms via mediating role of knowledge management capability (KMC). It attempts to deepen insight on the moderating mechanism of innovation culture (IC) in enhancing the effects of KMC on two specific aspects of innovation capability namely product and process innovation.

The paper utilized structural equation modeling (SEM) and cross-sectional design to test hypotheses in the proposed research model using data collected from 339 participants in 75 manufacturing and service firms in China.

The findings indicate that TL directly or indirectly affect firm's innovation via mediating role of KMC. The findings highlight that influences of KMC on aspects of innovation capability are different and depended on the degree of innovative climate in an organization.

Future research should examine the mediating mechanisms of knowledge acquisition, knowledge sharing and knowledge application to provide deeper insight on specific roles of knowledge management's constituents in linking TL and innovation capability.

This study contributes to bridging research gaps in the literature and advancing the insights of how TL directly and indirectly fosters product and process innovation via mediating roles of KMC. By investigating moderating role of IC, this study has provided the valuable initiatives and integration view of a new mechanism to foster specific dimensions of innovation capability of firms in developing and emerging market.

Owing to the growing importance of frugal innovation to the development of firms in the developing and emerging countries, the purpose of this paper is to investigate the effect of inclusive leadership (IL) on frugal innovation through the mediating roles of tacit and explicit knowledge sharing (EK). It also explores the possible moderating role of competitive intensity (CI) in the relationship between knowledge sharing (KS) and frugal innovation.

This study collected data via a questionnaire survey of a sample of 325 participants from 112 manufacturing and service firms to validate the relationship between inclusive leadership, knowledge sharing behaviors, competitive intensity and frugal innovation. Structural equation modeling and regression are adopted to estimate the effects of inclusive leadership on frugal innovation through the mediating role of knowledge sharing and moderating role of competitive intensity.

Findings reveals the significant impacts of inclusive leadership on aspects of knowledge sharing and frugal innovation. Moreover, the influences of tacit and explicit knowledge sharing on frugal innovation capability are enhanced in the intensive competitive environments.

Future research should investigate the potential moderating role of perceived organizational support in the relationship between specific aspects of knowledge sharing behaviors and frugal innovation.

The paper provides a valuable understanding and novel approach for managers and directors of firms in developing and emerging countries to improve frugal innovation capability through inclusive leadership practices and promotion of knowledge sharing in organizations.

The paper is unique in its attempt to fill theoretical gaps on the relationship between inclusive leadership and frugal innovation, and advance the insights of how inclusive leadership directly and indirectly fosters frugal innovation via mediating roles of tacit and explicit knowledge sharing.

This study aims to explore the effect of digitalization on the promotion of enterprise R&D cooperation, and it analyzes the microimpact mechanism and boundary conditions of enterprise digitalization on enterprise R&D cooperation.

Based on survey data sourced from the World Bank Enterprise Surveys of the business environment of Chinese enterprises in 2012, this study applies multiple regression methods to test theoretical hypotheses.

Enterprise digitalization positively affects the breadth and intensity of enterprise R&D cooperation. Employees’ digital literacy plays an intermediary role between enterprise digitalization and enterprise R&D cooperation. The subordinate attributes of enterprises weaken the positive relationship between enterprise digitalization and the breadth and intensity of enterprise R&D cooperation. The shareholding of state-owned enterprises reinforces the positive relationship between digitalization and the intensity of enterprise R&D cooperation. However, such shareholding shows no significant regulatory effect on digitalization and the breadth of enterprise R&D cooperation.

Focusing on the digital transformation of the enterprise, this study discusses its impact mechanism on enterprise R&D cooperation, including the impact on the intensity and breadth of R&D cooperation. The study further examines the regulatory effect of organizational inertia on enterprise digital and R&D cooperation from two aspects: resource rigidity and routine rigidity. It emphasizes the significance of the digital literacy of employees in enterprise digitalization and discusses the micromechanism of enterprise digitalization and enterprise R&D cooperation.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Employees who feel valued and understood will move to innovate and encourage growth alongside their coworkers, and thus characterize a firm as innovative and competitive.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Objectively evaluating the fairness of the algorithm, exploring in specific scenarios combined with scenario characteristics and constructing the algorithm fairness evaluation index system in specific scenarios.

This paper selects marketing scenarios, and in accordance with the idea of “theory construction-scene feature extraction-enterprise practice,” summarizes the definition and standard of fairness, combs the application link process of marketing algorithms and establishes the fairness evaluation index system of marketing equity allocation algorithms. Taking simulated marketing data as an example, the fairness performance of marketing algorithms in some feature areas is measured, and the effectiveness of the evaluation system proposed in this paper is verified.

The study reached the following conclusions: (1) Different fairness evaluation criteria have different emphases, and may produce different results. Therefore, different fairness definitions and standards should be selected in different fields according to the characteristics of the scene. (2) The fairness of the marketing equity distribution algorithm can be measured from three aspects: marketing coverage, marketing intensity and marketing frequency. Specifically, for the fairness of coverage, two standards of equal opportunity and different misjudgment rates are selected, and the standard of group fairness is selected for intensity and frequency. (3) For different characteristic fields, different degrees of fairness restrictions should be imposed, and the interpretation of their calculation results and the means of subsequent intervention should also be different according to the marketing objectives and industry characteristics.

First of all, the fairness sensitivity of different feature fields is different, but this paper does not classify the importance of feature fields. In the future, we can build a classification table of sensitive attributes according to the importance of sensitive attributes to give different evaluation and protection priorities. Second, in this paper, only one set of marketing data simulation data is selected to measure the overall algorithm fairness, after which multiple sets of marketing campaigns can be measured and compared to reflect the long-term performance of marketing algorithm fairness. Third, this paper does not continue to explore interventions and measures to improve algorithmic fairness. Different feature fields should be subject to different degrees of fairness constraints, and therefore their subsequent interventions should be different, which needs to be continued to be explored in future research.

This paper combines the specific features of marketing scenarios and selects appropriate fairness evaluation criteria to build an index system for fairness evaluation of marketing algorithms, which provides a reference for assessing and managing the fairness of marketing algorithms.

Algorithm governance and algorithmic fairness are very important issues in the era of artificial intelligence, and the construction of the algorithmic fairness evaluation index system in marketing scenarios in this paper lays a safe foundation for the application of AI algorithms and technologies in marketing scenarios, provides tools and means of algorithm governance and empowers the promotion of safe, efficient and orderly development of algorithms.

In this paper, firstly, the standards of fairness are comprehensively sorted out, and the difference between different standards and evaluation focuses is clarified, and secondly, focusing on the marketing scenario, combined with its characteristics, key fairness evaluation links are put forward, and different standards are innovatively selected to evaluate the fairness in the process of applying marketing algorithms and to build the corresponding index system, which forms the systematic fairness evaluation tool of marketing algorithms.

The purpose of this paper is to explore mechanisms of the overseas marketing assets needed for marketing dynamic capability in Chinese multinational enterprises (MNEs) settings. Marketing assets of foreign subsidiaries contribute to the dynamic capability of MNEs, which are crucial for their sustained competitiveness. This kind of mechanism attracts much attention in academia and industry. However, there are few studies on how dynamic capabilities are developed in MNEs considering the organizational structure of geographically dispersed assets in multiple locations. This paper aims to examine the effect of knowledge-based and relational-based marketing assets on dynamic marketing capabilities and the mediating effect of customer orientation on Chinese MNEs.

Integrating the dynamic capability approach and the international marketing literature, this study examines the impact of two types of marketing assets of foreign subsidiaries, focusing on knowledge-based and relationship-based marketing assets, on the dynamic marketing capabilities of Chinese MNEs. A large-scale empirical study of Chinese MNEs operating in overseas markets was performed, and the questionnaires were distributed and collected.

The results suggest a positive impact of knowledge-based and relationship-based marketing assets on marketing dynamic capability. We find that customer orientation has a positive mediating effect on the relationship between marketing assets and marketing dynamic capability. We also find that the competitive strength of the overseas market negatively moderates this relationship.

This study aims to contribute to the existing literature with a more fine-grained understanding of marketing assets and marketing dynamic capability, then provides theoretical guidance and management suggestions for the formulation and implementation of internationalization strategies of Chinese MNEs.

The findings outline several important implications for MNEs seeking into expand to overseas markets.

This paper contributes a novel, combined perspective on marketing assets and marketing dynamic capability.

The widespread uptake of digital technology tools for online teaching and learning reached its peak during the nationwide lockdown triggered by the COVID-19 pandemic. It transformed the higher education institutions (HEIs) marketplace both in developed and developing countries. However, in this process of digital transformation, several HEIs, specifically from developing countries, faced major challenges. That threatened to affect their sustainability and performance. In this vein, this study conducts a bibliometric review to map the challenges during the COVID-19 pandemic and suggest strategies for HEIs to cope with post-pandemic situations in the future.

This comprehensive review encompasses 343 papers published between 2020 and 2023, employing a systematic approach that combines bibliometrics and content analysis to thoroughly evaluate the articles.

The investigation revealed a lack of published work addressing the specific challenges faced by the faculty members affecting their well-being. The study underscores the importance of e-learning technology adoption for higher education sustainability by compelling both students and teachers to rely heavily on social media platforms to maintain social presence and facilitate remote learning. The reduced interpersonal interaction during the pandemic has had negative consequences for academic engagement and professional advancement for both educators and students.

This has implications for policymakers and the management of HEIs, as it may prove useful in reenvisioning and redesigning future curricula. The paper concludes by developing a sustainable learning framework using a blended approach. Additionally, we also provide directions for future research to scholars.

This study has implications for policymakers and HEI management to rethink the delivery of future courses with a focus on education and institute sustainability. Finally, the research also proposes a hybrid learning framework for sustainability and forms a robust foundation for scholars in future research.

This study aims to determine the influence of Mobile learning (M-learning) technologies based on the gender orientation of vocational education construction trade trainees in Pakistan. Additionally, it explores the challenges associated with integrating M-learning technologies in vocational institutions of civil engineering. Further, this study will focus on the solutions to improve the accessibility of M-learning technologies after the pandemic.

A quantitative method with a survey research design has been adopted in this study. In contrast, the target population was the trainees of vocational education institutions of civil engineering in Pakistan. Further, the data was collected using an adapted survey tool with a five-point Likert scale. Similarly, the data were analyzed through SPSS 27 software tool by using descriptive and inferential statistics.

The study's findings highlighted a positive influence of M-learning technologies based on the gender orientation of construction trade trainees from vocational institutions. Similarly, it is also specified that the challenges vocational trainees of the construction trade have faced while utilizing M-learning technologies were related. Hence, it is evident that the potential challenges of M-learning technologies integration and utilization are related to both gender orientations during a postpandemic situation in Pakistan.

In the Pakistani context, the M-learning technologies approach is recently introduced in the vocational education sector. Therefore, the utilization and integration of M-learning technologies are considered challenging tasks in the context. In this regard, this study helps to understand the acceptance, challenges and impact of M-learning technologies based on gender orientation among vocational institutions trainees of construction trade in Pakistan.

This study not only refers to the impact of M-learning technologies and their challenges but also highlights the current situation of M-learning in Pakistan, particularly construction engineering trainees in vocational education institutes.

Due to the vital role of innovation for firms to respond to the change and achieve competitive advantage, the purpose of this study is to investigate the influence of knowledge-oriented leadership (KOL) on innovation performance (IP) via the mediating role of knowledge sharing (KS). This study also clarifies the KS-IP relationship by exploring the moderating role of market turbulence.

Analysis of moment structures and structural equation modeling are applied to examine the relationship among the latent factors in the proposed research model using data collected from 281 participants in 112 manufacturing and service firms in Vietnam.

The findings revealed that KOL serves as a key precursor to foster IP, directly or indirectly, through knowledge-oriented leaders’ effect on tacit and explicit KS behaviors. In addition, the paper highlights the moderating role of market turbulence in strengthening the impact of KS activities on IP.

By highlighting the important role KOL practice for stimulating KS behaviors, this paper provides a valuable understanding and novel approach for firms to improve IP. The research findings support the idea that market turbulence significantly contributes to increasing the effects of KS behaviors on IP.

This study contributes to bridging research gaps in the literature and advances the insights of how KOL directly and indirectly fosters IP via mediating roles of tacit and explicit KS processes under the effects of market turbulence.

This study investigates the relationship between leaders’ collectivist orientation and employees’ innovative behavior, as well as the mediating effects of employees’ collectivist orientation and servant leadership.

Based on a survey of 40 leaders and 219 employees in 12 technologically innovative enterprises in Jiangsu Province, China, a hierarchical linear modeling is used.

The results show that leaders’ collectivist orientation significantly positively affects employees’ innovative behavior. Moreover, leaders’ collectivist orientation significantly positively affects employees’ collectivist orientation/servant leadership, employees’ collectivist orientation/servant leadership significantly positively affects employees’ innovative behavior, and employees’ collectivist orientation/servant leadership partially mediates the relationship between leaders’ collectivist orientation and employees’ innovative behavior.

In response to the lack of research on the relationship between leadership cultural orientation and employees’ innovative behavior, this study sheds light on the effectiveness and mechanism of the influence of leaders’ collectivist orientation on employees’ innovative behavior, thus expanding and deepening the boundaries of theoretical research on leadership, culture and innovation management.