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This study aims to explore the influence mechanism of digital platform capability on firm performance in the business-to-business (B2B) context. This study draws on the core competence theory and the resource-based view and includes resource identification, resource allocation and intrapreneurship into the research framework.

Data were collected from 167 B2B firms with survey questionnaires in central, eastern and southeastern coastal areas of China. The firms were mainly involved in e-commerce, manufacturing, service industry and internet technology. Participants were mainly middle and senior managers with a comprehensive grasp of their firms’ information.

This study found that digital platform capability has a positive impact on a B2B firm’s performance. Resource identification, resource allocation and intrapreneurship play a chain mediating role between digital platform capability and firm performance. That is, digital platform capability could promote employee intrapreneurship through resource identification and resource allocation, thereby improving firm performance.

Aiming to gain performance, firms should pay attention to the construction of digital platforms, increase venture capital investment and provide more resources to support intrapreneurship.

Based on empirical evidence, to the best of authors’ knowledge, this is the first attempt to link digital platform capability and firm performance in the B2B context of emerging markets, providing a new perspective to clarify its relationship mechanism.

This study aims to examine how and when leader bottom-line mentality (BLM) affects employee innovation (EI) in the context of Chinese organisations in which psychological contract breach (PCB) is a mediator and moral identity (MI) is a moderator.

The authors distributed the questionnaires to technology and culture firms in 2 waves and obtained a sample of 308 employees in 56 teams. The authors used the hierarchical linear model (HLM) and bootstrap method for the hypothesis testing.

The authors conclude that leader BLM negatively influences EI. Specifically, leader BLM leads mainly to low EI by increasing PCB amongst employees. Moreover, MI plays a moderating role in the above mechanism, i.e. the higher the MI degree of employees, the stronger the mediating role of PCB and the stronger the negative impact of leader BLM.

This study argues that BLM is necessary for firm development, but paying too much attention to BLM may achieve the opposite effect. Reducing BLM or buffering the negative impact of BLM through various measures (e.g. human resource management) is appropriate for managers.

The authors discover a new mechanism and boundary condition, i.e. leader BLM has a negative impact on EI through PCB and MI strengthens the effect of leader BLM.

The purpose of this study is to investigate the impact of user-driven innovation (UDI) and employee intrapreneurship (EI) on the innovation performance of platform enterprises through the mediating role of market intelligence responsiveness (MIR) and the moderating role of knowledge and information resource acquisition (KRA and IRA, respectively) between MIR and innovation performance.

Data were collected from 167 platform enterprises in northern, eastern and southern China with survey questionnaires. Participants were mainly middle and senior managers with a comprehensive grasp of the enterprises' information.

The results indicated that both UDI and EI, particularly synergy, positively influenced the innovation performance of platform enterprises. Furthermore, higher innovation performance resulted from high congruence between UDI and EI, and the innovation performance of enterprises increased when UDI and EI shifted from being incongruent to congruent. Lastly, MIR played a mediating role in this relationship, and both KRA and IRA played a positive moderating role between MIR and innovation performance.

Platform enterprises should pay attention to external users and internal employees to achieve their development goals and establish tripartite cooperative relationships involving firms, employees and users. Enabling platform enterprises to develop continually and in a healthy way requires the integration and utilization of all types of resources.

This was an empirical study on the impact mechanism of employees and users on the innovation performance of platform enterprises in China.

This study aims to examine how and when digital platform capabilities drive technological innovation from a strategic information perspective, regarding information flow and information quality as mediators and business intelligence analytics as a moderator.

This study engaged corporate executives in surveys and obtained 182 firm data and then tested the hypotheses using linear regression models and the robustness using the structural equation model.

Digital platform capabilities drive corporate technological innovation through access to strategic information, i.e. strategic information mediates between digital platform capabilities and technological innovation. Business intelligence analytics increases the influence of strategic information on technological innovation.

This study underlines the importance for companies to construct digital platform capabilities to access strategic information to achieve technological innovation and the role of business intelligence analytics in processing strategic information.

This study finds a new perspective, strategic information, to explain the mechanisms by which digital platform capabilities drive firms’ technological innovation. In addition, the robustness of the resource-based view in understanding digital platform capabilities is stressed.

How to improve the resilience of service firms in the crisis, such as the COVID-19 epidemic, to maintain a sustainable competitive advantage becomes a growing concern worldwide. Digital platform capability (DPC) provides a series of opportunities and advantages for service firms to shape resilience in the crisis. This study aims to clarify the effect and mechanism of DPC on service firms’ resilience, and provides a new mediator (strategic learning [SL]), as well as two boundary conditions (legal inefficiency [LIE] and legal incompleteness [LIC]).

Questionnaires were used to obtain firm data, and executives answered these key questions. Data from 293 service firms during the COVID-19 period were used for hypothesis testing.

DPC was positively related to the adaptive capacity (AC) and planning capacity (PC) of service firms. SL mediated the positive effect of DPC on the AC and PC of service firms. The positive effect between DPC and SL was weakened when LIE and LIC were high.

This study suggests that it is a very desirable measure to improve DPC to gain organizational resilience (OR) in the crisis. In addition, a SL process in the crisis is crucial, because service firms need to absorb key strategic information from digital platforms to cope with uncertainty. The services firms need to realize that the benefits of DPC will be weakened in the dysfunctional institutional environment of LIE and LIC.

To the best of the authors’ knowledge, this study is the first to link the DPC with the resilience of service firms, and provides a new explanation mechanism and some boundary conditions for this important relationship. Furthermore, this study takes a step forward, because these efforts respond to the widespread call of the literature on digitalization and OR, and provide new insights for understanding digital resilience.

This study aims to explore whether digital platform capabilities (integration and reconstruction) affect technological innovation through knowledge bases in the dimensions of breadth and depth and the moderating role of organisational routines updating.

Hierarchical regression, mediation effect test macro and bootstrap were conducted to empirically analyse two waves of longitudinal survey data from 179 Chinese technology firms.

Results confirmed that knowledge bases (breadth and depth) mediated the effect of digital platform capabilities (integration and reconstruction) on technological innovation and that updating of organisational routines moderated the relationship between knowledge bases and technological innovation.

These findings offer guidance to firms that aim to achieve technological innovation and advantages, highlighting the importance of digital platform capabilities, knowledge bases and organisational routines updating.

Advancing from existing digital strategies and firm innovation literature, the authors provide a new perspective (knowledge bases) to respond to the information technology (IT) paradox and understand the role of digital platform capabilities in improving technological innovation.

This study aims to investigate whether big data enabling (BDE) and empowerment-focused human resource management (EHRM) can effectively promote employee intrapreneurship and their effects on platform enterprises’ innovation performance. The paper also examines the contexts under which employee intrapreneurship may affect business performance.

Data were collected from 155 platform enterprises in China in the form of questionnaires. Participants were mainly middle and senior managers with a comprehensive grasp of the enterprises’ information.

The results indicated that BDE, EHRM and their synergy positively influenced employee intrapreneurship, which could potentially extend to enterprise performance. Specifically, employee intrapreneurship played a partial mediating role between BDE, EHRM and performance, and a whole mediating role between synergy and performance. Finally, platform strategic flexibility played a positive moderating role between employee intrapreneurship and performance.

Platform enterprises should focus on the construction and utilization of big data and EHRM to stimulate organizational vitality. They also need to encourage employees to start businesses and build more flexible strategies to adapt to the dynamic economic environment.

This is an empirical study on the effect mechanism of big data and HRM on employee intrapreneurship and platform enterprises’ performance in China. The paper combined big data, HRM and employee intrapreneurship, which broke through the previous research on enterprise entrepreneurship and social entrepreneurship. The findings guide platform enterprises to stimulate organizational vitality and achieve better performance in the digital era.

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.

A study from China of workers in technology and cultural firms has shown bottom-line mentality (BLM) has a negative impact on employee innovation. This happens because it increases psychological contract breach (PCB) between management and employees.

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.

It is essential to level the drilling platform across which a drilling robot travels in a slant underground coal mine tunnel to ensure smooth operation of the drill rod. However, existing leveling methods do not provide dynamic performance under the drilling conditions of the underground coal mine. A four-point dynamic leveling algorithm is presented in this paper based on the platform attitude and support rod displacement (DLAAD). An experimental drilling robot demonstrates its dynamic leveling capability and ability to ensure smooth drill rod operations.

The attitude coordinate of the drilling robot is established according to its structure. A six-axis combined sensor is adopted to detect the platform attitude, thus revealing the three-axis Euler angles. The support rod displacement values are continuously detected by laser displacement sensors to obtain the displacement increment of each support rod as needed. The drilling robot is leveled according to the current support rod displacement and three-dimensional (3 D) attitude detected by the six-axis combined sensor dynamically.

Experimental results indicate that the DLAAD algorithm is correct and effectively levels the drilling platform dynamically. It can thus provide essential support in resolving drill rod sticking problems during actual underground coal mine drilling operations.

The DLAAD algorithm supports smooth drill rod operations in underground coal mines, which greatly enhances safety, reduces power consumption, and minimizes cost. The approach proposed here thus represents considerable benefits in terms of coal mine production and shows notable potential for application in similar fields.

The novel DLAAD algorithm and leveling control method are the key contributions of this work, they provide dynamical 3 D leveling and help to resolve drill rod sticking problems.