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This study aims to advance and test a multi-dimensional operationalization of absorptive capacity (ACAP) to ascertain its mediating role in the transformation of R&D expenses in actual performance.

This study departs from the conceptualization of ACAP as a reflective higher-order R&D-based construct, by specifying ACAP into its components and using an operationalization that encompasses both R&D and non-R&D measures to perform mediation analysis on a sample of 1,096 Chinese mainland firms.

This study's findings report evidence of positive but different roles of the components of ACAP, with specific reference to the positive but partial mediating role of realized ACAP between both R&D expenses and potential ACAP on a firm’s performance. Relevant research and practical implications for both management and policymaking are discussed.

The approach to ACAP conceptualization and measurement taken in this study provides empirical support to an often assumed and, incidentally, under-explored relationship. Moreover, it contributes with a multi-dimensional, non-exclusively R&D-based and process-oriented perspective to the analysis of the role played by ACAP in Chinese firms’ R&D effectiveness.

This study investigates the economic outcomes of the strategic deviation (SD), the fundamental and crucial question in institutional theory and strategic management. Previous studies have yielded contradictory findings. This study reconciles conflicting results by distinguishing the effects of the SD on financial and market performance, examining the mechanism of financing constraints and the boundary condition of institutional investor heterogeneity.

This research collected data from Chinese A-shares listed manufacturing firms from 2009 to 2021 from the CSMAR and Wind databases. This study conducted empirical tests using OLS models with Stata 15.

Empirical results demonstrate that the SD has different impacts on different dimensions of performance. The SD negatively impacts financial performance while positively impacts market performance. Financing constraints mediate the main effects. Moreover, transactional institutional investors positively moderate the negative effect of the SD on financial performance, whereas stable institutional investors negatively moderate the positive effect of the SD on market performance.

By systematically revealing how the SD has different effects on financial and market performance, this study reconciles the debate on the SD between institutional theorists and strategy scholars. This research makes contributions to the research stream by providing reasonable explanations for conflicting conclusions. Furthermore, by introducing the overlooked perspective of financing constraints, this research identifies crucial mediating mechanisms and highlights the double-edged effect of financing constraints, enriching our understanding of financing constraints. Finally, this study investigates the moderating effects of institutional investor heterogeneity, thereby making valuable contributions to the comprehension of boundary conditions.

Technological entrepreneurship concerns the transformation of potentially viable technological opportunities into successful businesses. Absorptive capacity is argued to be essential for this transformation, since it can facilitate the prediction of new technology trends and the assimilation and application of new knowledge to produce new commercial outputs. The investigation of the relationships between absorptive capacity, technological entrepreneurship and their impact on Guangdong technology firms' performance is the purpose of this study.

In this aim a positive causal chain from absorptive capacity to technological entrepreneurship and from this latter to performance is tested through a mediation analysis, which uses an ordinary least squares regression‐based path analytical framework for estimating indirect effects on a sample of 113 Guangdong technology‐based firms.

Findings are consistent with the hypothesis that greater absorptive capacity leads to greater technological entrepreneurship, which in turn leads to greater performance. Therefore evidence is provided about both the mediating role of technological entrepreneurship and the role of absorptive capacity as its antecedent in relation to Guangdong‐based technology firms' performance.

A relevant but somewhat neglected relationship is examined using an integrative model in the Guangdong context. Moreover the study uses direct measures of absorptive capacity as a capability and provides a firm‐level operationalization of technological entrepreneurship. In so doing it also adopts state‐of‐the‐art analysis techniques and highlights the relevance of investments in soft factors for Guangdong technology firms' path towards excellence.

This study seeks to address the issue of the factors influencing Chinese enterprises technological entrepreneurship capabilities. This study is particularly relevant in light of the driving role given to enterprises in the process of transforming China into an innovation‐oriented nation and leading science power.

The paper draws on a broad literature review, covering various theoretical fields in International as well as Chinese management literature, to develop an integrated research framework. Relying on a multi‐disciplinary and multi‐level approach, the framework highlights a number of internal processes and external network attributes, their interactions and moderating relationships as related to their impact on Chinese enterprises technological entrepreneurship capabilities and their contributions to business performance.

The paper offers an overview of the factors that affect technological entrepreneurship capabilities, with particular reference to Chinese enterprises. Also, the study highlights some understudied issues and points to a number of research directions of specific relevance for the Chinese context. In this aim, a number of theoretical propositions have been identified.

The paper provides an integrated multi‐disciplinary and multi‐level research framework that organizes the body of knowledge, scattered in different literature and contexts, in a state‐of‐the‐art piece of the research into technology entrepreneurship capabilities, as well as to identify more specific research questions, model, testable hypothesis and related studies that build on and add value to previous research.

The purpose of this paper is to explore the legitimacy needs and legitimation strategies of Internet start-ups in the context of industry dynamism.

The purpose of this paper is to explore the legitimacy needs and legitimation strategies of Internet start-ups in the context of industry dynamism.

The authors found that Internet start-ups are in great need of acquiring market and relational legitimacy at their nascent stages. Conformance to the environment is widely adopted by them as a legitimacy-enhancing strategy. There is an inverted “U” relationship between the maturity of the industry and the proactivity of any legitimation strategy in the sector. In the face of high- and low-level industry maturity, start-ups tend to employ prudent strategies to build up legitimacy. While in medium-mature industries, ventures are more likely to adopt proactive and aggressive strategies.

Due to the very nature of case methodology, this study is based on a small number of observations and it is set in the context of the Internet industry. The generalizability of its findings needs to be reinforced by further concrete studies.

This paper suggests that industry dynamism should be taken into account carefully when implementing a choice of legitimation strategies.

This study makes an attempt to further our understanding of how industry dynamism influences firms’ choices of legitimation strategies.

The purpose of this study is to improve the accuracy of industrial robot kinematic parameter identification and position accuracy by solving the problem of insufficient consideration of error sources in the kinematic parameter identification model and optimizing the selection of measurement pose set.

In this study, a kinematic calibration method for industrial robots considering multiple error sources is proposed. Based on the Modified Denavit Hartenberg (MD-H) model, a robot kinematics identification model including joint reduction ratio error, target ball installation error and coordinate system transformation error is established. Taking the optimal observability index O1 and the minimum flexible deformation as the optimization objectives, a measurement pose set optimization method based on Non-dominated Sorting Genetic Algorithm II (NSGA-II) is proposed to obtain a measurement pose set with higher identification accuracy.

Through experiments conducted with the Nantong Zhenkang ZK1400-6 robot as the test subject, the kinematic parameters identified by the optimized measurement pose set are more accurate than the randomly selected measurement pose set, and the positioning accuracy of the robot is improved from 2.11 to 0.31 mm, an increase of 85.3%.

This study introduces a position error model that comprehensively accounts for the error sources causing positioning inaccuracies. Building on this foundation, a novel flexible deformation index is proposed to quantify the flexible deformation in the measurement pose set, thereby reducing the impact of such deformation on the position error in the model. To the best of the authors’ knowledge, for the first time, this study presents an optimization method for the measurement pose set based on NSGA-II, using the flexible deformation index and observability index as objectives for multi-objective optimization, simultaneously optimizing the pose error and Jacobian matrix in the error model.

This paper aims to implement quality of service(QoS) dynamic optimization for the integrated satellite-terrestrial network(STN) of the fifth-generation Inmarsat system(Inmarsat-5).

The structure and operational logic of Inmarsat-5 STN are introduced to build the graphic evaluation and review technique(GERT) model. Thus, the equivalent network QoS metrics can be derived from the analytical algorithm of GERT. The center–point mixed possibility functions of average delay and delay variation are constructed considering users' experiences. Then, the grey clustering evaluation of link QoS is obtained combined with the two-stage decision model to give suitable rewards for the agent of GERT-Q-learning, which realizes the intelligent optimization mechanism under real-time monitoring data.

A case study based on five time periods of monitoring data verifies the adaptability of the proposed method. On the one hand, grey clustering based on possibility function enables a more effective measurement of link QoS from the users' perspective. On the other hand, the method comparison intuitively shows that the proposed method performs better.

With the development trend of integrated communication, STN has become an important research object in satellite communications. This paper establishes a modular and extensible optimization framework whose loose coupling structure and flexibility facilitate management and development. The grey-clustering-based GERT-Q-Learning model has the potential to maximize design and application benefits of STN throughout its life cycle.

The purpose of this investigation is to examine how the adaption of digital supply chain management (DSCM) practices affects the efficiency of factories and sustainable production. The research consists of eight constructs which, respectively, inspired eight hypotheses.

The emergence of DSCM practices has significant importance for sustainable production and enhances overall firm performance.

The smart PLS-SEM approach allowed us to examine the data from 450 factories in Côte d'Ivoire. The results indicated that research hypotheses are highly significant and exhibit a strong correlation with DSCM for firm performance and competitiveness. The outcomes underscore the significance of DSCM strategies in achieving competitive advantage, enhancing firm performance and promoting sustainable production within the manufacturing sector.

This study is useful for policymakers, industrialists and the government of Côte d’Ivoire.

The purpose of this paper is to focus on determining the optimal sales price for non-instantaneous deterioration items according to consideration of freshness and demand.

In this model, the authors have described the demand function which is dependent on price as well time. The products that the deterioration is considered as non-instantaneous have a determinate shelf life, and their demand rate will decrease over time after the beginning of the selling period. This paper depicts that the total profit of non-instantaneous deterioration items using the dynamic pricing strategy is higher than that using fixed pricing strategy.

Finally, to illustrate and validate the model, the authors have used some numerical examples. A new freshness function and the model to study pricing policy are developed as well applied to solve managerial decision problems.

This paper complements the lack of the existing theoretical research of pricing for non-instantaneous deterioration items under an e-commerce environment. A new freshness function and the model to study pricing policy are developed as well applied to solve managerial decision problems.

This study aims to investigate an adaptive notch filtering approach to suppress the effects of elastic vibration on the attitude control of flexible launch vehicles.

First, the dynamics model of the flexible launch vehicle and baseline PID controller are presented. Furthermore, the frequency identification algorithm based on a second-order notch filter is developed to identify the elastic vibration frequency. Finally, a frequency holder is developed to update the notch frequency of the adaptive notch filter.

The proposed adaptive notch filter with a frequency holder can identify the vibration frequency accurately, update the notch frequency appropriately and suppress the effects of the elastic vibration on the attitude control of flexible launch vehicles effectively.

A novel adaptive notch filter with a frequency holder is proposed to address the adaptive filtering problem of elastic vibrations under nonelastic interference and elastic frequency uncertainty. Compared with the conventional filter for attitude control of flexible launch vehicles, an adaptive filter with a proposed frequency holder is developed to solve the problem of the frequency real-time update during the vibration suppression and frequency keeping after the vibration suppression.