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The paper is to explore crowdfunding success determinants from the reward menu design aspect, distinguishing from extant studies focusing on characteristics of project creators or crowdfunding projects and funding dynamics. Both the number of reward options and price differentiation of rewards are considered.

The authors use the quadratic model to identify a curvilinear relationship between the number of reward options and crowdfunding success, by running regressions on data collected from one of the most influential reward-based crowdfunding platforms in China. In addition, they explore the moderating effect of price differentiation on the curvilinear relationship.

The authors find an inverted U-shape relationship between the number of reward options and the optimal number of options is around 10. In addition, they find that the curvilinear relationship is moderated by reward price differentiation.

This paper has managerial implications for crowdfunding project creators and platform managers. To achieve better crowdfunding outcomes, a proper number of reward options with diversified reward prices should be provided.

The paper contributes to the literatures in antecedents of crowdfunding success from reward menu design aspect based on theories in investment and purchasing decision making. It is different from existing studies focusing on the characteristics of project creators and crowdfunding projects or funding dynamics. It also parallels retirement contribution plan design studies by exploring the reward menu design in the crowdfunding context.

The stock indexes are an important issue for investors, and in this paper good trading strategies will be aimed to be adopted according to the accurate prediction of the stock indexes to chase high returns.

To avoid the problem of insufficient financial data for daily stock indexes prediction during modeling, a data augmentation method based on time scale transformation (DATT) was introduced. After that, a new deep learning model which combined DATT and NGRU (DATT-nested gated recurrent units (NGRU)) was proposed for stock indexes prediction. The proposed models and their competitive models were used to test the stock indexes prediction and simulated trading in five stock markets of China and the United States.

The experimental results demonstrated that both NGRU and DATT-NGRU outperformed the other recurrent neural network (RNN) models in the daily stock indexes prediction.

A novel RNN with NGRU and data augmentation is proposed. It uses the nested structure to increase the depth of the deep learning model.

Interorganizational dependence is considered as a liability for each firm and needs to be managed properly. Rather than exploring the opportunistic outcome of dependence, the authors focus on the moderating role of supply chain boundary spanners' guanxi. This study tends to uncover the way and the conditions under which boundary spanners' guanxi influences dependence-opportunism relationships.

Using a survey of 380 buyer–supplier exchanges in China, this study first examines the relationship between dependence and opportunism, then assesses the contingent role of boundary spanners' guanxi and further tests how unfairness perception and legal inefficiency alter the role of guanxi in managing dependence.

This study finds that buyer dependence increases supplier opportunism while supplier dependence lowers supplier opportunism. Boundary spanners' guanxi weakens the opportunism-facilitating impact of buyer dependence and mitigates the opportunism-restricting effect of supplier dependence. However, unfairness perception would attenuate the value of guanxi in restricting depended sides' opportunism but strengthen the value of guanxi in motivating depending sides' opportunism; legal inefficiency would amplify the value of guanxi in facilitating depending suppliers' opportunism.

First, the study enriches supply chain dependence studies by incorporating interpersonal guanxi into the investigation of dependence-opportunism relationships. Second, the study adds to the supply chain management literature by uncovering a contrasting role of guanxi in influencing the dependence-opportunism relationship. Third, the study incorporates an agency view to uncover two boundary conditions under which guanxi is mobilized for personal interest seeking or for organizational purposes.

This study aims to let researchers sort out the past, look to the future and boost further management research.

This paper takes the exploration of the application of AR in the field of management research as the starting point. Through the combing and induction of AR literature to accurately grasp the essential characteristics of AR, this paper analyzes the application prospects and possible difficulties of AR in the field of management research in China, puts forward specific suggestions and explores the specific path of the transformation of management academic research to practice from the perspective of research methods.

In research methods, empirical research and case studies have become the mainstream research methods, but there is a passive research limitation of “study what happens.” Action research is different from the standpoint of empirical research that is independent of the research object. It no longer simply treats managers as the “object of information acquisition,” but as the subject of participating in the research. Management should be oriented towards the transformation of practice, and action research (AR) that can organically integrate researchers and practitioners is just a “bridge” to break the gap between academia and business circles to establish a cooperative relationship.

This paper takes the exploration of the application of AR in the field of management research as the starting point. Through the combing and induction of AR literature to accurately grasp the essential characteristics of AR, this paper analyzes the application prospects and possible difficulties of AR in the field of management research in China, puts forward specific suggestions and explores the specific path of the transformation of management academic research to practice from the perspective of research methods.

Finance is crucial to boosting agricultural development in developing countries. This paper aims to investigate the effects of rural formal and informal financial access on agricultural technical efficiency (TE) in China.

Based on the survey data of demonstrative family farms in Langxi county, Anhui province and Wuhan city, Hubei province in central China in 2017, this research assesses agricultural TE by using a three-stage DEA model. It adopts the tobit model to evaluate the effects of formal and informal financial access on TE, and to explore the heterogeneous effects by types, management states and scales. It uses the OLS regression and PSM method to check the robustness, and applies the IV-Tobit method to solve the endogeneity. The authors apply the mediation effect model to explore the channels through which financial access impacts TE.

Family farms' average TE reaches 13.9%, which shows much room for improvement under the given technical conditions and constant inputs. The research confirms the advantage of formal financial access in raising TE relative to informal financial access. The heterogeneous analysis documents more prominent effects of formal financial access on enhancing TE of aquaculture, hybrid, demonstration and large farms. The mediating effect model reveals that the enhancing TE effect of formal financial access derives from improved machinery investment and family labor division rather than land circulation.

The research clarifies finance into formal and informal finance. The results have considerable policy implications for rural financial policies in China.

The operational framework of external financing in the correlation between the gender of entrepreneurs and firm performance remains to be resolved. This study aims to investigate the mediating effect of external financing on gender-based disparities in private firm performance and to explore its heterogeneity within the Chinese context.

Based on national data from the 10th to 13th Chinese Private Enterprise Survey, this study used a bootstrap-based mediation effect model to analyze the role of external financing as a mediator in the relationship between entrepreneur gender and firm performance.

This study found that external financing is a constructive mediator between entrepreneur gender and firm performance. Heterogeneity analysis revealed that external financing plays a complementary mediation role in the impact of entrepreneur gender on performance in West China. In the tertiary industry, external financing acts as the sole mediator for the impact of gender on firm performance. Notably, this mediating effect is present in non-startups but not in startups.

The findings suggest that external financing can improve the firm performance of female entrepreneurs. Governments and policymakers should strengthen financial support for female entrepreneurs in West China, tertiary industry and non-startup enterprises.

This paper contributes to the literature on gender and corporate governance by shedding light on the mediating role of external financing in the relationship between the gender of business owners and firm performance.

This paper aims to propose and establish a set of new benchmark models to investigate and confidently validate the modeling and prediction of total stray-field loss inside magnetic and non-magnetic components under harmonics-direct current (HDC) hybrid excitations. As a new member-set (P21^e) of the testing electromagnetic analysis methods Problem 21 Family, the focus is on efficient analysis methods and accurate material property modeling under complex excitations.

This P21^e-based benchmarking covers the design of new benchmark models with magnetic flux compensation, the establishment of a new benchmark measurement system with HDC hybrid excitation, the formulation of the testing program (such as defined Cases I–V) and the measurement and prediction of material properties under HDC hybrid excitations, to test electromagnetic analysis methods and finite element (FE) computation models and investigate the electromagnetic behavior of typical magnetic and electromagnetic shields in electrical equipment.

The updated Problem 21 Family (V.2021) can now be used to investigate and validate the total power loss and the different shielding performance of magnetic and electromagnetic shields under various HDC hybrid excitations, including the different spatial distributions of the same excitation parameters. The new member-set (P21^e) with magnetic flux compensation can experimentally determine the total power loss inside the load-component, which helps to validate the numerical modeling and simulation with confidence. The additional iron loss inside the laminated sheets caused by the magnetic flux normal to the laminations must be correctly modeled and predicted during the design and analysis. It is also observed that the magnetic properties (B27R090) measured in the rolling and transverse directions with different direct current (DC) biasing magnetic field are quite different from each other.

The future benchmarking target is to study the effects of stronger HDC hybrid excitations on the internal loss behavior and the microstructure of magnetic load components.

This paper proposes a new extension of Problem 21 Family (1993–2021) with the upgraded excitation, involving multi-harmonics and DC bias. The alternating current (AC) and DC excitation can be applied at the two sides of the model’s load-component to avoid the adverse impact on the AC and DC power supply and investigate the effect of different AC and DC hybrid patterns on the total loss inside the load-component. The overall effectiveness of numerical modeling and simulation is highlighted and achieved via combining the efficient electromagnetic analysis methods and solvers, the reliable material property modeling and prediction under complex excitations and the precise FE computation model using partition processing. The outcome of this project will be beneficial to large-scale and high-performance numerical modeling.

The purpose of this paper is to analyze numerically the nanofluid natural convection inside a square enclosure with two L-shaped heaters using lattice Boltzmann method.

An environmentally friendly nanofluid, clove-treated graphene nanoplatelet (CGNP), is used to study the enhancement of heat transfer. Six various heaters configurations are considered and effects of nanoparticle concentration (0–0.1%) and Rayleigh number (10^3–10^6) on streamlines, isothermal lines and heat transfer parameters are studied. The developed computational code has been validated using mesh sensitivity analysis and numerical data of other authors.

It is observed that in contrast to distilled water, CGNP/water nanofluid is an efficient coolant and the Nusselt number is increased as the nanoparticle concentration and Rayleigh numbers increment. The nanoparticle concentration cannot change the flow pattern inside the enclosure. However, the Rayleigh number and heaters configuration can change the flow pattern significantly. Several heaters configurations (Cases 1–4) related to the symmetry of geometrical shape and corresponding boundary conditions, illustrate the symmetry of streamlines and isotherms about the vertical line (X = 0.5). The formation of vortices inside the enclosure is affected by the raising heat plume above the heaters. Moreover, at different Rayleigh numbers, the relative magnitude of average Nu for various cases is different. At Ra = 103, the energy transport characteristic depends on the relative location of heaters and cold walls, and the order of average Nusselt number is Case 3 ˜ Case 4 ˜ Case 6 > Case 1 ˜ Case 2 ˜ Case 5. However, at Ra = 106, an influence of thermal convection mechanism on heat transfer is significant and the ranking of average Nusselt number is Case 1 ˜ Case 4 > Case 5 > Case 6 > Case 2 > Case 3.

The originality of the research lies in both the study of thermogravitational convection in a closed chamber with two L-shaped heaters, and the analysis of the influence of control parameters for an environmentally friendly nanoliquid on electronics cooling process.

The purpose of this paper is to develop a measurement of creativity-oriented HRM systems that improve organizational creativity. This paper also aims to explore the mechanisms between them by investigating the mediating role of innovative culture and the moderating role of customer orientation.

The study uses a sample of 82 knowledge-intensive companies with 780 respondents consisting of 145 HR professionals, 512 core knowledge workers and 123 top managers in China. Exploratory factor analysis, confirmatory factor analysis and regression analysis are used to validate the measure of creativity-oriented HRM systems and test hypotheses.

This study finds that creativity-oriented HRM systems are composed of three dimensions, which are creative skill-enhancing practices, intrinsic motivation-enhancing practices and empowerment-enhancing practices. These practices significantly improve organizational creativity through innovative culture. Furthermore, customer orientation moderates the effect of innovative culture on organizational creativity in such a way that the positive relationship is stronger when customer orientation is high.

This study contributes to the strategic human resource management literature by developing and validating a measure of creativity-oriented HRM systems. Moreover, it also explores the mechanism between creativity-oriented HRM systems and organizational creativity based on a complementary perspective of innovativeness, which underlines the important mediating effect of innovative culture. More importantly, the authors propose the significance of absorbing knowledge and information from customers and put forward the moderating role that customer orientation plays, especially in an emerging country context such as China.