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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.

The purpose of this paper is to present a new method and model for determining the optimal decision-making for the pricing strategy to the Fuji apple in Shaanxi of Chain which is representing fresh agricultural products under the e-commerce environment.

Considering the rapid development of information technology as well as internet that actually motivate the e-commerce, Fuji apple is a distinctive product in China’s Shaanxi; its sales channels have extended to online sales under the wave of e-commerce. Internet trading platforms make it possible to trade online in real time between suppliers and customers who live in different geographical areas. In this paper, the authors study how to price online to maximize the total revenue. The challenge is to optimally price two different qualities of apple. Based on the consumer surplus theory, the authors use the method that builds the function of the relationship between the proportion of consumers purchasing different qualities of products and price.

This paper presents a generalized model to determine the optimal pricing that maximizes the total revenue of a fruit grower over a finite planning horizon. The authors divided discount into two intervals and discussed the optimal discounting and pricing at both intervals. Then they determined the optimal pricing strategy for Fuji apple in Shaanxi of Chain under the e-commerce environment.

This paper makes up for the lack of existing studies of pricing under the e-commerce environment. A new method and approach to the traditional pricing strategy is established and applied to a management decision-making problem with Chinese characteristics in reality.

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.

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.

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.

As a good absorbing material candidate, a functionally graded wave absorber can be tailored to satisfy the impedance match principle by gradually changing material property. The paper aims to discuss these issues.

The electromagnetic wave absorption properties are discussed. An analysis model is proposed to provide an insight into its mechanical characteristics during wave absorption. Considering the energy-converting and thermal deformation properties, the thermoelastic behaviors of an absorber are analyzed by numerical method. The effects of material and geometrical properties are discussed in detail.

The results demonstrate that absorbing effect of graded composite is enhanced. Good performance of low reflectance and high absorption with gentle thermal stress distribution can be obtained by proper designing of the gradient absorber.

Functionally graded materials exhibit a progressive compositional gradient change along certain dimension of structures, which can be used as absorbing materials for the gradual change of material property tailored to satisfy the principle of impedance match. The design of functionally graded absorbing materials usually should consider not only the electromagnetic performance, but also the mechanical properties simultaneously. Therefore, few investigations have addressed the mechanical characteristics of absorbers. This paper presents some studies on the electromagnetic, especially mechanical behaviors during electromagnetic wave absorption. It is helpful to provide mechanical reference for designing an absorber.

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 aim of this study was to develop a new generation of automatic systems based on cutting-edge design and practical welding physics to minimize downtime caused by defects and machine faults on the barges. Automatic welding has been used frequently on offshore pipeline projects.

An automated welding robot system for sub-sea pipeline installation was constructed. The system utilized the double-car double-torch welding, which is light-weight and compact, suited for offshore applications. Several state-of-the-art technologies were integrated into the control system design, including a heterogeneous network based on EtherCAT technology, network communications based on CANopen, motor synchronization, all-position welding, etc. In addition, the utilization of the CAN bus reduced the number of cable lines and increased the extensibility of the proposed welding robot system. An internal clamp with copper shoes assured a nice root weld and narrow bevel design and the welding efficiency was improved accordingly.

The trial was carried out to verify the rationality and effectiveness of the proposed automated system. The deposition rate of the backing welding could reach 17.78 kg/h; the average time for each welding was 340 s. This system was unique in that it features a dual-torch welding head that allowed for the deposition of one run with twice as much material as a single torch head. The experiment showed that the double-vehicle double-torch mode can greatly improve the welding efficiency of pipeline installation during the welding process.

The automated welding robot system will be applied to offshore pipeline projects.

This robot is the first submarine pipeline installation welding robot to use a heterogeneous network based on EtherCAT technology. Various aspects of the submarine pipeline installation welding robot’s design and performance were discussed, including mechanical body design, control system design and welding process specification.

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.

Malaysian small and medium-sized enterprises (SMEs) are critical for economic development and meeting the sustainable development goals (SDGs); however, many struggle to survive in the long term. So, this study aims to present a model for sustainable growth that bridges the gap between desired growth and managerial competencies. By configuring university helix-induced crowdfunding and opportunity recognition competencies with industry helix-driven innovation, the study encourages a quadruple bottom line (QBL) strategy, helping SMEs attain competitiveness for sustainable growth.

This pilot study used a sequential mixed methods design and adhered to the pragmatic research paradigm. A survey of 52 SCORE-listed manufacturers yielded quantitative data, complemented by qualitative interviews with 7 SME decision makers. This study used NVivo 10 and SmartPLS 4.0 for the necessary analysis. In addition, an effective triangulation strategy has been implemented to explain causation among selected variables.

The findings show that opportunity recognition and crowdfunding are positively associated with SMEs’ ability to grow in a sustainable manner and that exploitative and explorative innovation also mediate those relationships. The qualitative part highlighted key insights for successfully applying this model in Malaysian SMEs. The interview results also suggest that corporate spirituality might help SMEs adopt sustainability-focused practices.

More research is required regarding both the methods and results of this pilot study. Although conducting a pilot study increases the likelihood of success in the main study, it does not ensure it.

This study equips Malaysian SMEs with a roadmap for achieving sustainable growth. The obtained findings indicate that Malaysian SMEs that develop strong crowdfunding and opportunity recognition competencies are more likely to achieve innovation-focused long-term survival. In addition, incorporating corporate spirituality can enhance their economic, social and environmental performance.

By supporting more innovation in SMEs, which can improve sustainability-oriented successes and support a healthy economic system, these findings may have a beneficial social change impact. The concept may also act as the foundation for SMEs’ promotion of the SDGs.

The study uniquely offers a holistic growth model for Malaysian SMEs founded on the helix-QBL understanding that explains a firm’s sustainability-focused competitive advantage.