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Fractional Fokker-Planck equation (FFPE) and time fractional coupled Boussinesq-Burger equations (TFCBBEs) play important roles in the fields of solute transport, fluid dynamics, respectively. Although there are many methods for solving the approximate solution, simple and effective methods are more preferred. This paper aims to utilize Laplace Adomian decomposition method (LADM) to construct approximate solutions for these two types of equations and gives some examples of numerical calculations, which can prove the validity of LADM by comparing the error between the calculated results and the exact solution.

This paper analyzes and investigates the time-space fractional partial differential equations based on the LADM method in the sense of Caputo fractional derivative, which is a combination of the Laplace transform and the Adomian decomposition method. LADM method was first proposed by Khuri in 2001. Many partial differential equations which can describe the physical phenomena are solved by applying LADM and it has been used extensively to solve approximate solutions of partial differential and fractional partial differential equations.

This paper obtained an approximate solution to the FFPE and TFCBBEs by using the LADM. A number of numerical examples and graphs are used to compare the errors between the results and the exact solutions. The results show that LADM is a simple and effective mathematical technique to construct the approximate solutions of nonlinear time-space fractional equations in this work.

This paper verifies the effectiveness of this method by using the LADM to solve the FFPE and TFCBBEs. In addition, these two equations are very meaningful, and this paper will be helpful in the study of atmospheric diffusion, shallow water waves and other areas. And this paper also generalizes the drift and diffusion terms of the FFPE equation to the general form, which provides a great convenience for our future studies.

Drawing from social capital theory and resource dependence theory, this paper aims to test the relationship between top management team (TMT) government social capital and firm’s innovation performance via firm’s network prestige, and the moderating effect of TMT academic social capital.

The authors collected data from the China Stock Market and Accounting Research Database as well as A-share listed firms’ annual reports, and finally generated a sample of 922 firms and 2,464 firm-years from 2008 to 2014. UCINET 6.0 was used to analyze the data.

The authors find that the government social capital of TMT is positively related to firms’ innovation performance and firms’ network prestige plays a mediating role in this relationship. In addition, TMT academic social capital can strengthen the links between TMT government social capital and innovation performance through firms’ network prestige.

This paper not only contributes to literatures on the mechanism in the relationship between government social capital and firms’ innovation, but also to literatures on the effectiveness of the heterogeneity of firm’s social capital.

The purpose of this paper is to explore a new approach to solve the problem of positive and negative offset in the calculation process of integral elements, then propose a series of new grey relational degree model for cross sequences.

The definitions of cross sequences and area elements have been proposed at first. Then the concept of difference degree between sequences has been put forward. Based on the definition of difference degree between sequences, various modified grey relational degree models for cross sequences have been proposed to solve the measurement problem of cross sequence correlation relationships.

(1) The new definition of cross sequences; (2) The area element; (3) Various modified grey relational degree models for cross sequences based on the definition of difference degree between sequences.

The grey relational analysis model of cross sequences is a difficult problem in grey relational analysis. The new model proposed in this article can effectively avoid the calculation deviation of grey relational analysis model for cross sequences, and reasonably measure the correlation between cross sequences. The new model was used to analyse the food consumer price index in Shaanxi Province, clarifying the relationship between different types of food consumer price indices, some interesting results that are not completely consistent with general economic theory were obtained.

The new definition of cross sequences, the area element and various modified grey relational degree models for cross sequences were proposed.

The serious wear problem of heavy-haul freight vehicle wheels affects the safety and economy of vehicle operation. This paper aims to study wheel wear evolution law and the influence of line parameters on wheel wear of heavy-haul freight, and provide the basis for operation and line maintenance.

The wheel wear test data of heavy-haul freight vehicles were analyzed. Then a heavy-haul freight vehicle dynamic model was established. The line parameters influencing wheel wear in heavy-haul freight vehicles were also analyzed by the Jendel wear model, and the effects of rail cant, rail gauge, rail profile and line ramp on wheel wear were analyzed.

A rail cant of 1:40 results in less wheel wear; an increase in the rail gauge can reduce wheel wear; and when matched with the CHN60 rail, the wear depth is relatively small. A decrease of 9.21% in wheel wear depth when matched with the CHN60 rail profile. The ramp of the heavy-haul line is necessary to consider for calculating wheel wear. When the ramp is considered, the wear depth increases by 8.47%. The larger the ramp, the greater the braking force and therefore, the greater of the wheel wear.

This paper first summarizes the wear characteristics of wheels in heavy-haul freight vehicles and then systematically analyzes the effect of line parameters on wheel wear. In particular, this study researched the effects of rail cant, rail gauge, rail profile and line ramp on wheel wear.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2024-0038/

In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.

To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.

The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.

This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.

The purpose of this study is to discuss how organizations can drive organizational performance through human capital (HC) investment through systematic thinking.

This study analyzes three companies from various industries, adopts systems thinking and uses three leading indicators from the balanced scorecard framework to explore the effects of strategic orientations for HC on innovation ecosystems and organizational performance.

In terms of academic contributions, this study broadly verifies the innovation ecosystem model for organizations and reveals that customer-oriented, internal process-oriented and innovation learning-oriented HC strategies reinforce the pathways in organizational innovation ecosystems, thereby enriching the literature on innovation ecosystems.

In terms of practical contributions, this study provides a novel HC-based perspective on developmental dynamics and details the relationships among each aspect of the innovation ecosystem and HC strategies.

The proposed architecture and strategic frameworks provide a reference for corporations to implement strategic orientations of HC, drive operations in organizational innovation ecosystems and improve organizational performance.

This article presents a new approach to modeling the relationships of eco-innovation. The impact of eco-innovation on organizational performance is well known, but the opposite direction has not been explored.

The research used an online questionnaire survey emailed to 100 Ecuadorian managers. Data obtained from the 62 respondents were analyzed through structural equation modeling.

The results confirm that while eco-innovation increases company performance, higher performance is negatively related to eco-innovation, with managers preferring to dedicate company resources to projects with more significant benefits and lower outlay.

This study was conducted in one country, so generalizability may be limited. Moreover, the cross-sectional data prevent inferences of causality.

Eco-innovation activities are important to managers and can help them with a new definition of company strategy. The findings confirm that eco-innovation drives performance but not vice versa. It could be necessary to modify the strategy to create a sustainable business.

The results elucidate both directions of the relationship between eco-innovation and performance, representing a new contribution to the literature. The results also confirm that eco-innovation activities are valuable tools in building and developing emerging economies.

Este documento presenta un nuevo enfoque del modelo de la eco-innovación. La relación entre la eco-innovación y el resultado empresarial es bien conocida. Sin embargo, la relación inversa no ha sido investigada con la misma dedicación.

En nuestra investigación utilizamos el método de encuesta electrónica. Se enviaron cuestionarios a 100 gerentes ecuatorianos, recibiendo las 62 respuestas válidas. Los datos obtenidos se analizaron mediante modelos de ecuaciones estructurales.

Los resultados confirman que las eco-innovaciones aumentan el resultado de la empresa. Sin embargo, la relación inversa tiene signo negativo; en este contexto, los directivos prefieren dedicar los recursos de la empresa a diferentes proyectos con mayores beneficios y menor gasto que aquellos centrados en la eco-innovación.

Nuestros resultados completan el análisis de las relaciones entre la eco-innovación y el rendimiento empresarial y representan una nueva contribución a la Academia. Los resultados también confirman que las actividades de eco-innovaciones son herramientas valiosas para construir y desarrollar economías en mercados emergentes.

Este estudio se realizó en un entorno específico de un país, por lo que las generalizaciones son limitadas. Nuestros datos son intersectoriales, lo que dificulta establecer relaciones de causalidad.

Los resultados de las actividades relacionadas con la eco-innovación son importantes para los gerentes y pueden ayudarlos redefinir la estrategia de la empresa. Los resultados confirman que la eco-innovación impulsa el rendimiento y muestra que no existe la misma relación entre el rendimiento y las eco-innovaciones. Se podría sugerir que es necesario modificar su estrategia para crear un negocio sostenible.

The paper provides a contribution of systematisation to the literature on the blue economy and aquaculture as challenging issues for achieving sustainable growth and a circular economy. The growing scientific interest in recent years and the increased attention in political agendas make the blue economy and aquaculture as promising fields for scientific investigation. The latter has been confirmed during a particular period too as the pandemic times. To identify those areas of specialisation emerging from the intersection of such topics, the paper embraces a systematic literature review for inspiring future research.

The study covers a period of 20 years by including 85 papers extracted from the Scopus database. Through the adoption of VOSviewer, the investigation explores the main descriptive statistics, while content analysis has been embraced to identify thematic areas.

The main results of this study are about statistics (i.e. publication trends, geographic distribution, most frequent keywords and most influential authors, etc.). Three main thematic areas have been identified in this study: SDGs and policies for sustainable development, food and energy, business models and managerial issues.

Practical implications arise both for firms and policymakers. About the firsts, interesting insights can be derived in terms of business model innovation, collaborative approaches and technological exploration. About policymakers, inspiration in terms of renewal of strategic guidelines, creation of enabling contextual conditions and evidences for new regulations can be noted.

Elements of original contributions can be identified in the adoption of an SLR to verify the advancement of the debate till the recent pandemic.