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This study aimed to adapt existing text-mining techniques and propose a novel topic recognition approach for textual patient reviews.

The authors first transformed multilabel samples for adapting model training forms. Then, an improved method was proposed based on dynamic mixed sampling and transfer learning to improve the learning problem caused by imbalanced samples. Specifically, the training of our model was based on the framework of a convolutional neural network and self-trained Word2Vector on large-scale corpora.

Compared with the SVM and other CNN-based models, the CNN+ DMS + TL model proposed in this study has made significant improvement in F1 score.

The improved methods based on dynamic mixed sampling and transfer learning can adequately manage the learning problem caused by the skewed distribution of samples and achieve the effective and automatic topic recognition of textual patient reviews.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-01-2021-0059.

Strategy.

The case is suitable for upper level undergraduate business and MBA students.

FOTILE, one of the fam ily businesses in Zhejiang, Ch ina, has now become the leading brand in the Ch ina kitchen appliance industry and has successfully entered into the global market. It has gone from a traditional family business in the 1980s to a modern enterprise because of the successful transformation from the first generation (Father: Lixiang Mao) to the second generation (Son: Zhongqun Mao) and the blending of a family business with the modern enterprise system. They both have strong beliefs that family businesses have their own advantages, but they have different ways and strategies of running the business. The case describes the process of how the father and his son worked together designing the strategies to successfully grow FOTILE.

The case is a vehicle for exploring strategies to operate a family business, to successfully develop a sustainability model, to manage a growing company through its entrepreneurial stage, and to merge western business culture with Chinese Confucian culture. It should help students to: explore strategies of managing/leading a family business and transferring successfully the business from one generation to the next; understand the importance of marketing, focusing on overall strategy and sustainability; know how to identify market opportunities, exhibit start-up intent, perform start-up planning, mission development, and feasibility analysis, and acquiring initial resources; and appreciate the close link between culture and strategy.

Teaching notes are available for educators only. Please contact your library to gain login details or e-mail support@emeraldinsight.com to request teaching notes.

The relationship between perceived insider status (PIS) and innovative behavior may be mediated by felt obligation. Then the relationship between felt obligation and innovative behavior may be moderated by job stress. At last, felt obligation may conditional mediate the relationship between PIS and innovative behavior when job stress at different level. The purpose of this paper is to test these hypotheses.

The authors tested the moderated mediation model with data from a sample of 529 supervisor-subordinate dyads from the People’s Republic of China. Employees were asked to evaluate their PIS, felt obligation, and job stress when in the workplace. Their innovative behavior was evaluated by their immediate supervisors.

Results suggest that PIS is positively related to employee’s innovative behavior, and felt obligation mediates this relationship. In addition, job stress moderates two stage relationships: one is to moderate the relationship between felt obligation and innovative behavior; the other is to moderate the whole mediation model.

In China, managers can treat some employees as family members and support them when they are in trouble so that the employees will perceive insider status. Let employees get the feeling of PIS maybe a good way to motivate them to contribute to the organization. In addition, managers should reduce the work load of some employees who are expected to be innovative. Then those employees will have much more spare time to engage in innovative behavior.

This research sheds light on the relationship between PIS and innovative behavior in a non-western context by testing the mediating mechanism guided by role identity and appropriateness framework, which is a way different from social exchange process.

This study aims to analyse the major geographical dimensions of the location strategies of multinational tourism firms.

Conceptually, this paper is situated at the intersection of two distinct and evolving bodies of research literature on the global geographies of the tourism industry and the production of economic globalization from a set of strategic locations. Empirically, principal component analysis is applied to explore the main geographical configurations within a location matrix of 102 tourism firms across 547 cities.

The results identify strong geographical organizing patterns in the location strategies of multinational tourism firms, above all articulated in countries/regions that themselves have large domestic and/or international tourism markets. However, there is also a global component in terms of firm/location composition, while the national/regional components are hybrid and porous in practice.

This study contributes to a new way of looking at a globalizing tourism sector. The findings can be used to reflect on possible wider implications for the tourism geographies literature and reveal some avenues for further research.

跨国旅游公司的地理位置和选址：全球化战略

本研究旨在分析跨国旅游企业区位战略的主要地理维度。

在理论研究层面, 本文基于两个截然不同和不断发展的研究交叉点: (1)全球经济地理中的旅游产业研究; (2)战略区位选择上的经济全球化研究。在实证研究层面, 本文将主成分分析法应用于547个城市的102家旅游企业的区位矩阵研究中。

研究结果显示, 跨国旅游企业的区位选择具有很强的地理规律, 这点在本身拥有庞大国内和/或国际旅游市场的国家/地区内尤为明显。此外, 跨国旅游企业/地点的区位组成也具有明显的全球属性, 在单个国家/区域内的表现则很多元化, 有很大的不同。

这项研究有助于以新的视角来看待全球化的旅游产业。本文的研究成果可以用来反思旅游地理文献可能存在的更广泛的意义, 并探讨进一步的研究可能。

La geografía y la localización de selección de las empresas multinacionales de turismo: estrategias Para la globalización

Este estudio tiene como objetivo analizar las principales dimensiones geográficas de las estrategias de localización de las empresas multinacionales de turismo.

Conceptualmente, este documento se sitúa en la intersección de dos bibliografías de investigación distintas y en evolución: (1) sobre las geografías globales de la industria del turismo y (2) sobre la producción de la globalización económica desde un conjunto de ubicaciones estratégicas. Empíricamente, el análisis de componentes principales se aplica para explorar las principales configuraciones geográficas dentro de una matriz de ubicación de 102 empresas de turismo en 547 ciudades.

Los resultados identifican fuertes ordenamientos geográficos en estas estrategias de ubicación, sobre todo articuladas en países/regiones que a su vez tienen grandes mercados turísticos nacionales y/o internacionales. Sin embargo, también hay un componente global en términos de composición empresa/ubicación, mientras que los componentes nacionales/regionales son en la práctica híbridos y porosos.

Este estudio contribuye a una nueva forma de ver un sector turístico en globalización. Los resultados se pueden utilizar para reflexionar sobre posibles implicaciones más amplias para la literatura sobre geografías turísticas y discutir algunas vías para futuras investigaciones.

The purpose of this paper is to develop a coupled approach to solve the pressure–velocity-coupled problem efficiently in the three-dimensional injection molding simulation.

A fully coupled pressure–velocity algorithm is developed to solve the coupled problem, by treating the pressure gradient term implicitly. And, the Schur complement preconditioned FGMRES is applied to decompose the resulting coupled pressure–velocity equation into pressure and velocity subsystems. Then, BoomerAMG is adopted to solve the pressure subsystem, and block Jacobi preconditioned FGMRES is applied to the velocity subsystem.

According to the several experiments, the fully coupled pressure–velocity algorithm was demonstrated to have faster convergence than the traditional SIMPLE algorithm, and the calculating time was reduced by up to 70 per cent. And, the Schur complement preconditioned FGMRES worked more efficiently than block Gauss–Seidel preconditioned FGMRES, block-selective AMG and AMG with block ILU(0) smoother and could take at least 47.4 per cent less time. The proposed solver had good scalability for different-size problems, including various cases with different numbers of elements. It also kept good speedup and efficiency in parallel performance.

A coupled solver has been proposed to effectively solve the coupled problem in the three-dimensional injection molding simulation, which is more robust and efficient than existing methods.

The purpose of this paper is to study the positioning points of successful retail enterprises in China, and to try to conclude the general law for selecting the positioning points.

By analyzing the evaluation data of countrywide samples and the impact factors of customer satisfaction, the authors select some successful retail enterprises in China to be the study samples. On the base of that, the performance concerning positioning points of the samples are discussed.

The paper reaches five valuable conclusions: first, successful retail enterprises have definite positioning points; second, successful retail enterprises commonly have a main positioning point and a second best positioning point; third, successful retail enterprises could choose commodity, service, price or shopping environment as their positioning point; fourth, retail enterprises in the same retail format could have different positioning points; fifth, the non‐positioning points of successful retail enterprises are usually above the industry average level, while those of retail enterprises in successful tendency could hardly reach the industry average level.

The limitation of samples (only large‐scale supermarkets) might still make the practical applications on other retail formats limited. Meanwhile, the criteria for identifying the successful enterprises in this paper are mainly customer satisfaction and loyalty, without considering the financial performance.

The conclusions in this paper have great significance for Chinese retail enterprises to establish a unique competitive advantage.

The conclusion concerning positioning points of this paper might be the first to answer the key issues in Chinese retail enterprises' positioning strategies.

In this chapter, rephrasing Spivak's question into ‘can subaltern children speak?’, I reorient the research on China's gigantic population of children and youths in rural migrant families towards a critical interpretative approach. Based on life history and longitudinal ethnographic interview gathered with three cases, I unpack the multiple meanings migrants' children attach to mobility in their childhood experiences. First, despite emotional difficulties, children see their parents' out-migration more as a ‘mobility imperative’ than their abandonment of parental responsibilities, which should be contextualized in China's long-term urban-biased social policies and the resultant development gaps in rural and urban societies. Second, the seemingly ‘unstable’ and ‘flexible’ mobility patterns observed in migrant families should be understood in relation to a long-term family social mobility strategy to promote children's educational achievement and future attainment. The combination of absent class politics in an illiberal society with an enduring ideology of education-based meritocracy in Confucianism makes this strategy a culturally legitimate channel of social struggle for recognition and respect for the subaltern. Last, children in migrant families are active contributors to their families' everyday organization amidst mobilities through sharing care and household responsibilities, and developing temporal and mobility strategies to keep alive intergenerational exchanges and family togetherness. The study uncovers coexisting resilience and vulnerabilities of migrants' children in their ‘doing class’ in contemporary China. It also contributes insights into our understanding of the diversity of childhoods in Asian societies at the intersection of familyhood, class dynamics and cultural politics.

Agriculture is one sector where the Internet of things (IoT) is expected to make a major impact. Yet, its adoption in the sector falls behind expectations. The purpose of this paper is to present the state-of-the-art of IoT in agriculture and investigate its slow adoption in the sector.

The authors have undertaken a systematic review and a synthesis of 1355 relevant publications over the last decade.

This literature review reveals that the “big three” barriers for the overall sector are cost, skills and standardization. The lack of connectivity and data governance are two key reasons why most of the proposed IoT solutions are standalone systems of limited scope, while the majority of commercial IoT efforts focus on practices in the protected indoor environment. Lastly, the analysis of past research along the five layers of the IoT system architecture reveals limited attention to barriers and solutions at the business layer, which represents a research opportunity for information systems scholars.

It is possible that some of relevant publications were missed in the literature search, although the search queries were kept as broad as possible to avoid the exclusion of any relevant work. Any publication written in any other language other than English was excluded from the review. Given the geographical distribution of the reviewed English publications (see section 4.1), it is highly likely that important works written by Chinese and European scholars in their native language were overlooked.

This study provides practical insights into the technical and organisational challenges on the ground. It is the hope that this literature review lays the groundwork for IS researchers who are well positioned to investigate technology adoption challenges in the relatively understudied agriculture sector.

To the best of the authors’ knowledge, this is the first comprehensive review of adoption barriers and solutions across all five layers of the IoT system architecture.

The general 3D vector potential FEM formulations of non‐linear anisotropic magnetostatic field have been derived by using the dyadic analysis in this paper. The Newton‐Raphson method and improved ICCG algorithm are used for the 3D non‐linear anisotropic magnetostatic field computation. The 3D magnetic field in a reactor, the inductance and the voltage‐current characteristic (V‐I curve) of the reactor are calculated. The harmonic components under 1.35 times rated voltage are analyzed by the calculated V‐I curve. The calculated results are quite satisfactory when compared with the measurement ones.

It is of a great significance for the health monitoring of a liquid rocket engine to build an accurate and reliable fault prediction model. The thrust of a liquid rocket engine is an important indicator for its health monitoring. By predicting the changing value of the thrust, it can be judged whether the engine will fail at a certain time. However, the thrust is affected by various factors, and it is difficult to establish an accurate mathematical model. Thus, this study uses a mixture non-parametric regression prediction model to establish the model of the thrust for the health monitoring of a liquid rocket engine.

This study analyzes the characteristics of the least squares support vector regression (LS-SVR) machine . LS-SVR is suitable to model on the small samples and high dimensional data, but the performance of LS-SVR is greatly affected by its key parameters. Thus, this study implements the advanced intelligent algorithm, the real double-chain coding target gradient quantum genetic algorithm (DCQGA), to optimize these parameters, and the regression prediction model LSSVRDCQGA is proposed. Then the proposed model is used to model the thrust of a liquid rocket engine.

The simulation results show that: the average relative error (ARE) on the test samples is 0.37% when using LS-SVR, but it is 0.3186% when using LSSVRDCQGA on the same samples.

The proposed model of LSSVRDCQGA in this study is effective to the fault prediction on the small sample and multidimensional data, and has a certain promotion.

The original contribution of this study is to establish a mixture non-parametric regression prediction model of LSSVRDCQGA and properly resolve the problem of the health monitoring of a liquid rocket engine along with modeling the thrust of the engine by using LSSVRDCQGA.