Search results

Emerging markets face the developmental circumstances of a weak foundation in both manufacturing and services. Although servitization is viewed as an opportunity to realise industry transformation and upgrading, ways for emerging market firms to implement a high-level servitization strategy is still understudied. This study examines combinations of causal conditions for emerging market firms to implement a high level of servitization.

Anchored in the strategy tripod model, this study examines the configurations for implementing a high-level servitization strategy by using fuzzy-set qualitative comparative analysis (fsQCA) and data from the China Stock Market and Accounting Research Database (CSMAR).

The findings identify three kinds of configurations for achieving a high-level servitization strategy: market-cultivational servitization, competition-driven servitization and government-related servitization. Furthermore, the mechanisms for implementing a high-level servitization strategy differ within the regional marketization level and state-owned equity. Specifically, the improvement of the regional marketization level helps manufacturing firms realise a high level of servitization by strengthening service capacity, and state-owned equity helps firms gain distinctive legitimacy to integrate suppliers and providers into the servitization context.

The proposed multilevel perspective frameworks enable manufacturing firms in emerging markets to achieve a high level of servitization strategy.

This paper explores the impact of institutional environment, industry conditions and firm-level microfoundations on servitization, therefore providing a reference framework for emerging market firms interested in implementing high-level servitization strategies.

This paper aims to get an in-depth understanding of the fuel spray characteristics to further improve the emission performance of a lean premixed prevaporized (LPP) combustor with staged lean combustion.

In this paper, the fuel spray characteristics in the LPP combustor are experimentally studied by using particle image velocimetry (PIV), and raw data are processed by image-processing technologies for different inlet conditions. The effects of the fuel allocation and pilot atomizer position on fuel spray characteristics are investigated.

Experiment results show that when only the pilot atomizer is operated, the fuel spray characteristics is worsened by increasing fuel flow rate. The fuel spray fields generated by the pilot atomizer are better at the throat than that at the pilot swirler outlet; when the pilot atomizer and primary injector are operated at the same time with the same inlet fuel air ratio, the spray characteristics are improved by increasing the primary fuel flow rate and decreasing the pilot fuel flow rate. Meanwhile, fuel spray fields generated by the pilot atomizer are better at the throat than that at the pilot swirler outlet.

The present results are useful for further development of the LPP combustor.

An LPP combustor with staged lean combustion technology was proposed; to obtain fuel spray characteristics, image-processing program was compiled; the fuel spray characteristics in the LPP combustor were investigated, especially the effects of the fuel allocation and pilot atomizer position.

The purpose of this paper is to form a new framework for preventing money laundering by mapping COBIT (Control for Information and Related Technology) processes to COSO (Committee of Sponsoring Organisation) components.

First, a new framework for preventing money laundering in banks is formed by mapping COBIT to COSO. Further, the potential of the mapped framework to comply with the Bank Secrecy Act requirements is analysed.

The mapped framework effectively supports all the activities of financial sectors through defining efficient information technology‐based processes and control methods. Information systems play a key role for financial sectors in producing financial statements, managing customer databases, detecting frauds, etc.

Case studies of banks of different sizes, and in different countries are needed. It is necessary to improve the mapped framework by considering Basel III regulations.

COBIT‐mapped‐COSO framework is useful for banks to fight money laundering. While adopting the new framework, an organisation should apply the best practices that suit its operations rather than all the control objectives.

The new framework can help banks fight money laundering.

For preventing money laundering through banks, a number of policies and intelligence systems are in place. However, there is no efficient framework that could guide banks to follow these policies and use information technologies. This paper proposes a new framework to target these gaps.

This study aims to examine the effect of regional discrimination on tourists’ unethical behavior intention and the mediating role of tourist anger. Furthermore, the study examines whether the impact of regional discrimination on tourist anger is moderated by tourist self-efficacy.

Three scenario experiments were conducted to test the research hypotheses.

The results indicated an indirect effect of regional discrimination on tourists’ unethical behavior intention via tourist anger. In addition, the findings showed that tourist self-efficacy would weaken the relationship between regional discrimination and tourist anger.

This study reveals tourists’ emotional and behavioral reactions to regional discrimination. Further research can examine the influence of regional discrimination from other theoretical lens and field experiments are encouraged.

This study enriches current knowledge on regional discrimination by developing an integral framework to explore tourists’ reactions toward regional discrimination.

The purpose of this paper is to assess the application of the nascent corporate opportunity doctrine in China by comparison with its well-established English counterpart; in particular, it evaluates whether the fine balance between business integrity and business efficiency has been struck.

It is argued that the scope of application of the corporate opportunity doctrine in China should be extended, and the rules on the burden of proof should be amended. Moreover, a stricter approach should be adopted by the Chinese judiciary for the purpose of protecting the company’s interests and enhancing business integrity.

This paper mainly focuses on the corporate opportunity doctrine. It does not discuss other duties of directors in detail.

It is useful for directors in balancing business integrity and business efficiency.

It is an original piece of work which assesses the corporate opportunity doctrine by making comparison with English law.

This paper aims to explore how enterprise microblogging can influence consumer loyalty and thus generate business value for firms. The study aims to expand traditional brand community theory.

The paper is based on brand community theory, social identity theory and usage and gratifications theory. Using a pre-survey of the fans of an enterprise microblog and a random sample survey of such fans on Sina Weibo, the authors tested the structural equation model with LISREL, which includes multiple fit indices.

The paper provides empirical insights about how enterprise microblogging can influence consumer loyalty and thus generate business value for firms. It suggests that consumers’ perceived value could strengthen their microblog identification, which will influence their perceived relationship with the enterprise and its products directly and indirectly through the mediation of enterprise identification. Perceived relationship can further influence purchase and recommendation intentions.

Because of the chosen data collecting approach, the research results may be still subjective. Moreover, the study overlooks the effects of the different types of enterprise microblogging and consumers.

Enterprises should operate their official microblogging from the perspective of maintaining brand community to improve consumer loyalty. They can generate more value for consumers through their microblogging and predict the operating performance by evaluating the degree of consumers’ relationship perception.

This paper considers enterprise microblogging as a new form of virtual brand community and identifies its features, and expands theories of brand community, and social media/IT business value, social identity theory and gratifications theory.

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.

Integrating artificial intelligence and quantitative investment has given birth to various agricultural futures price prediction models suitable for nonlinear and non-stationary data. However, traditional models have limitations in testing the spatial transmission relationship in time series, and the actual prediction effect is restricted by the inability to obtain the prices of other variable factors in the future.

To explore the impact of spatiotemporal factors on agricultural prices and achieve the best prediction effect, the authors innovatively propose a price prediction method for China's soybean and palm oil futures prices. First, an improved Granger Causality Test was adopted to explore the spatial transmission relationship in the data; second, the Seasonal and Trend decomposition using Loess model (STL) was employed to decompose the price; then, the Apriori algorithm was applied to test the time spillover effect between data, and CRITIC was used to extract essential features; finally, the N-Beats model was selected as the prediction model for futures prices.

Using the Apriori and STL algorithms, the authors found a spillover effect in agricultural prices, and past trends and seasonal data will impact future prices. Using the improved Granger causality test method to analyze the unidirectional causality relationship between the prices, the authors obtained a spatial effect among the agricultural product prices. By comparison, the N-Beats model based on the spatiotemporal factors shows excellent prediction effects on different prices.

This paper addressed the problem that traditional models can only predict the current prices of different agricultural products on the same date, and traditional spatial models cannot test the characteristics of time series. This result is beneficial to the sustainable development of agriculture and provides necessary numerical and technical support to ensure national agricultural security.

The coupling impact of hybrid uncertain errors on the machine precision is complex, as a result of which the designing method with multiple independent error sources under uncertainties remains a challenge. For the purpose of precision improvement, this paper focuses on the robot design and aims to present an assembly precision design method based on uncertain hybrid tolerance allocation (UHTA), to improve the positioning precision of the mechanized robot, as well as realize high precision positioning within the workspace.

The fundamentals of the parallel mechanism are introduced first to implement concept design of a 3-R(4S) &3-SS parallel robot. The kinematic modeling of the robot is carried out, and the performance indexes of the robot are calculated via Jacobian matrix, on the basis of which, the 3D spatial overall workspace can be quantified and visualized, under the constraints of limited rod, to avoid the singular position. The error of the robot is described, and a probabilistic error model is hereby developed to classify the hybrid error sensitivity of each independent uncertain error source by Monte Carlo stochastic method. Most innovatively, a methodology called UHTA is proposed to optimize the robot precision, and the tolerance allocation approach is conducted to reduce the overall error amplitude and improve the robotized positioning precision, on the premise of not increasing assembly cost.

The proposed approach is validated by digital simulation of medical puncture robot. The experiment highlights the mathematical findings that the horizontal plane positioning error of the parallel robotic mechanism can be effectively reduced after using UHTA, and the average precision can be improved by up to 39.54%.

The originality lies in UHTA-based precision design method for parallel robots. The proposed method has widely expanding application scenarios in industrial robots, biomedical robots and other assembly automation fields.