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The purpose of this paper is to discuss how enterprises can effectively perceive and use the digital opportunities brought about by digital technologies and dynamic environments and how they can enhance their capabilities to realize digital transformation and adapt to the development of the digital economy era.

Based on the windows of opportunity theory and strategic cognition theory, this paper conducts an empirical analysis of the questionnaire data of 268 enterprises and discusses the influence of external windows of opportunity and internal windows of opportunity on the digital transformation of enterprises, as well as the action mechanism of strategic cognition and entrepreneurship.

The results show that both the external windows of opportunity and the internal windows of opportunity have significant positive effects on the digital transformation of enterprises. Strategic cognition plays a partial mediating role in the external windows of opportunity and the internal windows of opportunity influencing the enterprise digital transformation process. Entrepreneurship plays a positive regulatory role in the process of external windows of opportunity and internal windows of opportunity influencing strategic cognition.

This paper deepens the relationship between internal and external windows of opportunity and enterprise digital transformation and contributes a new theoretical cognition. This paper integrates the strategic cognition theory to clarify the complex process mechanism of digital transformation using external situational opportunities and internal capabilities. This paper introduces entrepreneurship into the path mechanism of digital transformation and expands the characteristics of the study of digital transformation antecedents to the individual level within the enterprise.

Existing studies have paid less attention to the impact of knowledge accumulation on digital transformation and its boundary conditions. Hence, this study aims to investigate the effects of ambidextrous knowledge accumulation on manufacturing digital transformation under the moderation of dynamic capability.

This study divides knowledge accumulation into exploratory and exploitative knowledge accumulation and divides dynamic capability into alliance management capability and new product development capability. To clarify the relationship among ambidextrous knowledge accumulation, dynamic capability and manufacturing digital transformation, the authors collect data from 421 Chinese listed manufacturing enterprises from 2016 to 2020 and perform analysis by multiple hierarchical regression method, heterogeneity test and robustness analysis.

The empirical results show that both exploratory and exploitative knowledge accumulation can significantly promote manufacturing digital transformation. Keeping ambidextrous knowledge accumulation in parallel is more conducive than keeping single-dimensional knowledge accumulation. Besides, dynamic capability positively moderates the relationship between ambidextrous knowledge accumulation and manufacturing digital transformation. Moreover, the heterogeneity test shows that the impact of ambidextrous knowledge accumulation and dynamic capabilities on manufacturing digital transformation varies widely across different industry segments or different regions.

First, this paper shifts attention to the role of ambidextrous knowledge accumulation in manufacturing digital transformation and expands the connotation and extension of knowledge accumulation. Second, this study reveals that dynamic capability is a vital driver of digital transformation, which corroborates the previous findings of dynamic capability as an important driver and contributes to enriching the knowledge management literature. Third, this paper provides a comprehensive micro measurement of ambidextrous knowledge accumulation and digital transformation based on the development characteristics of the digital economy era, which provides a theoretical basis for subsequent research.

This paper aims to examine the effects of managerial ability (MA) on the likelihood and the timeliness of goodwill impairment and explore whether the desirable effect of MA vary with the degree of agency problems.

The authors propose a unified framework to simultaneously examine the effects of MA on the likelihood and the timeliness of goodwill impairment by incorporating a market-based impairment indicator (denoted as BTM), MA and the interaction of BTM with MA to this study’s regression model to account for the likelihood of goodwill impairment. BTM addresses the timeliness of goodwill impairment.

This study finds that firms with higher MA have lower likelihood of goodwill impairment, and such firms are more likely to recognize goodwill impairment in a timely manner when the underlying value of goodwill is economically impaired. This desirable effect of MA is more pronounced in non-state-owned enterprise (SOEs) and firms without chief executive officer (CEO) duality.

Firms can reduce the losses arising from goodwill impairment by enhancing the ability of their management teams combined with improved corporate governance structure.

This paper provides novel insights on understanding the role of MA in not only reducing the likelihood but also enhancing the timeliness of goodwill impairment. The findings help advance the upper echelons theory by uncovering the heterogenous effects of executives with different levels of ability.

The purpose of this paper is to investigate whether, when and how customer orientation may contribute to success in introduction of new products (SINP).

With a multi-phase and multi-source data collection approach, this study tested the proposed theoretical model by applying multiple regression with SPSS Process Macro.

Customer orientation positively influences cross-functional integration (CFI), which in turn facilitates SINP; a firm’s new product introduction (NPI) strategy moderates customer orientation–CFI link.

This study empirically tests whether, why and when customer orientation may contribute to SINP. By suggesting the important role of customer orientation in improving SINP, the mediating effect of CFI and the moderating effect of NPI strategy, the current study should enrich the extant literature on customer orientation, CFI and NPI.

Perceived justice is crucial to achieving public–private partnership (PPP) projects’ goals, but little is known about the transmission mechanism of perceived justice that affects added value in PPP projects. Therefore, this research intends to investigate the link between perceived justice and PPP projects’ added value and their underlying mechanism by analysing the mediating role of cooperative behaviour.

Based on 246 valid survey data collected from the Chinese PPP professionals, structural equation modelling was adopted to analyse and test the proposed hypotheses.

The results show all three dimensions of perceived justice positively correlated with PPP projects’ added value. The influence effect from high to low was determined to be as follows: interactive, distributive and procedural justice. Moreover, both perfunctory and consummate performance were found to be positively correlated with and thus of great importance to PPP projects’ added value, but perfunctory performance was found to have a greater influence coefficient. The relationship between perceived justice and PPP projects’ added value is mediated by perfunctory and consummate performance. Therefore, the strategies of perceived justice in improving added value are verified in the context of Chinese PPP projects.

The findings of this study can help realise added value in three ways. Firstly, new perspectives for PPP project added value should be proposed by combining the improvement of project basic objectives and the realisation of the participants’ implicit demands. Secondly, the effects of different perceived justice on added value should be analysed instead of a single dimension of perceived justice. Thirdly, the mediating effects of different types of cooperative behaviour that may influence the relationship between perceived justice and added value should be evaluated.

This study contributes to a better understanding of the relationship between perceived justice and PPP projects’ added value and provides a reliable reference for project managers to achieve added value outcomes in PPP projects. In addition, this study reveals the impact of perceived justice on PPP projects’ added value and the path of perceived justice transformation. This provides a useful reference for project managers to take advantage of the positive effects of distributive, interactive and procedural justice to enhance inter-organizational cooperative behaviour. This study thus helps improve the practice and value of PPP projects by using the right strategy of perceived justice.

The research clarifies the impacts of multidimensional perceived justice for added value of PPP projects throughout the implementation process. It offers a new perspective on PPP projects’ added value by combining the improvement of the realisation of participants’ implicit claims.

The study aims to address the gap between leaders’ preventative self-regulatory focus and its impact on Chinese primary care physicians (PCPs) well-being, measured by work–family spillover stress and work exhaustion and on healthcare quality, measured by preventive service delivery and clinical guideline adherence.

This paper conducted a cross-sectional in-person survey with 38 leaders and 224 PCPs in 38 primary health centers (PHCs) in Jinan, Tianjin, Shenzhen and Shanghai. Guided by the regulatory focus theory, this paper built hierarchical linear regression models to examine the association between the leadership’s regulatory focus and physician burnout, work–family conflict, clinic guideline adherence and preventive service delivery.

This paper added the knowledge of leadership’s regulatory focus impact on the well-being and medical service quality of PCPs. Prevention regulatory focus of leaders was significantly associated with work exhaustion and physicians’ reported work–family conflict. There is no significant association between leadership’s prevention regulatory focus and PCPs’ preventive service delivery or clinical guideline adherence.

Data on the regulatory focus of PCPs were not collected. Future studies should collect longitudinal data, allowing for exploration of the mechanism.

This paper revealed that PHC leaders should restructure their leadership focus away from preventive regulatory behavior, promoting a team atmosphere and enhancing PCP attitudes, behaviors and well-being.

To improve the well-being of PCPs and the quality of medical services, our results recommend a focus on establishing a positive organizational culture and addressing the emotional and professional needs of PCPs. To achieve these aims, policymakers should implement measures that promote a more comprehensive and balanced regulatory focus within PHC institutions. These measures should aim to create an environment that supports physician well-being and enhances the quality of healthcare services. Providing ample resources and support, promoting a collaborative team atmosphere and encouraging open communication are vital to empowering PCPs.

This study examined the preventive regulatory focus of PHC leaders on the well-being and medical service quality of PCPs in China.

Nowadays, the global agricultural system is highly dependent on the widespread use of synthetic pesticides to control diseases, weeds and insects. The unmanned aerial vehicle (UAV) is deployed as a major part of integrated pest management in a precision agriculture system for accurately and cost-effectively distributing pesticides to resist crop diseases and insect pests.

With multimodal sensor fusion applying adaptive cubature Kalman filter, the position and velocity are enhanced for the correction and accuracy. A dynamic movement primitive is combined with the Gaussian mixture model to obtain numerous trajectories through the teaching of a demonstration. Further, to enhance the trajectory tracking accuracy under an uncertain environment of the spraying, a novel model reference adaptive sliding mode control approach is proposed for motion control.

Experimental studies have been carried out to test the ability of the proposed interface for the pesticides in the crop fields. The effectiveness of the proposed interface has been demonstrated by the experimental results.

To solve the path planning problem of a complex unstructured environment, a human-robot skills transfer interface is introduced for the UAV that is instructed to follow a trajectory demonstrated by a human teacher.

The purpose of this study is to examine different paths to overcoming the liability of foreignness. Based on the eclectic paradigm, the authors construct a theoretical framework comprising enterprise nature, location choice, entry mode and internationalization strategy.

The paper uses fuzzy-set qualitative comparative analysis (fsQCA) method to test the framework with data covering 120 multinational Chinese subsidiaries in 34 host in 2019.

The results show that liability of foreignness (LOF) is multiple concurrency, equifinality and asymmetry. When investing in Belt and Road (B&R) countries, non-SEOs can weaken LOF by applying the greenfield mode and resource-seeking strategy, other MNEs can implement a market- or resource-seeking strategy via cross-border M&A to reduce LOF. But when investing in non-B&R countries with a strategic asset-seeking strategy, the LOF is increased. The B&R initiative can reduce the LOF effectively.

The authors construct a general framework to explain the paths of overcoming LOF by bridging the OLI with LOF and introduce fsQCA method into the field of LOF to make up for the shortcoming of existing test method by explaining the influence of more than three factors on LOF.

The purpose of this paper is to present an integrated data-driven framework for processing and analyzing large-scale vehicle maintenance records to get more comprehensive understanding on vehicle quality.

We propose a framework for vehicle quality analysis based on maintenance record mining and Bayesian Network. It includes the development of a comprehensive dictionary for efficient classification of maintenance items, and the establishment of a Bayesian Network model for vehicle quality evaluation. The vehicle design parameters, price and performance of functional systems are modeled as node variables in the Bayesian Network. Bayesian Network reasoning is then used to analyze the influence of these nodes on vehicle quality and their respective importance.

A case study using the maintenance records of 74 sport utility vehicle (SUV) models is presented to demonstrate the validity of the proposed framework. Our results reveal that factors such as vehicle size, chassis issues and engine displacement, can affect the chance of vehicle failures and accidents. The influence of factors such as price and performance of engine and chassis show explicit regional differences.

Previous research usually focuses on limited maintenance records from a single vehicle producer, while our proposed framework enables efficient and systematic processing of larger-scale maintenance records for vehicle quality analysis, which can support auto companies, consumers and regulators to make better decisions in purchase choice-making, vehicle design and market regulation.