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Researchers rarely present accounts of their awkward encounters in ethnographies. Awkwardness, however, does matter and affects the ethnographic accounts we write and our understanding of social situations. The purpose is to bring these hidden sides of organizational ethnography to the fore, to discuss the consequences of ignoring awkward encounters, and to improve our understanding of organizational realities.

This paper presents awkward ethnographic encounters in the field: encounters with evangelizing ethnic Chinese business people in Indonesia (Koning), and visiting an artist village in China (Ooi). Based on analysing their awkwardness, and in the context of a critical assessment of the reflexive turn in ethnography, the authors propose a more inclusive reflexivity. The paper ends with formulating several points supportive of reaching inclusive reflexivity.

By investigating awkward encounters, the authors show that these experiences have been left out for political (publishing culture in academia, unwritten rules of ethnography), as well as personal (feelings of failure, unwelcome self‐revelations) reasons, while there is much to discover from these encounters. Un‐paralyzing reflexivity means to include the awkward, the emotional, and admit the non‐rational aspects of our ethnographic experiences; such inclusive reflexivity is incredibly insightful.

Inclusive reflexivity not only allows room for the imperfectness of the researcher, but also enables a fuller and deeper representation of the groups and communities we aim to understand and, thus, will enhance the trustworthiness and quality of our ethnographic work.

Awkwardness is rarely acknowledged, not to mention discussed, in organizational ethnography.

Ethical decision making, business ethics.

This case is applicable to MBA, EDP and EMBA courses.

TOREAD, a professional provider of outdoor equipment in China, started in business by producing and selling tents. To meet market demand, TOREAD expanded its product line which ranges from outdoor durable tent products to “pan-outdoor” products including footwear and clothing. During the critical expansion phase, TOREAD was challenged by a quality problem in a batch of outsourced sandals that had been manufactured by a contracted supplier. By researching different options and going through an ethical decision making process, TOREAD made the choice of destroying all “problem sandals”. Since then, TOREAD has focused development on product quality improvement and product innovation to establish a sustainable brand image and generate social benefits. TOREAD's decision making in the critical development phase helped it to become the leader in the outdoor product industry in China.

This case may be used for courses such as business ethics and strategy. By learning this case, students can understand the process of making ethical decisions when facing moral dilemmas among corporate decision makers, employees and relevant interested parties, and learn how to make strategic decisions to balance company profit growth and social benefits in critical development phases.

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

Digital finance is a promising way to realize inclusive finance. However, the determinants of digital finance participation are largely unknown. This study aims to analyze the interface between social interaction and the digital finance participation of rural households and explore potential channels of social interaction to help them access digital finance.

Using rural household survey data from China in 2017, employing the probit, ordered probit and count model, this study assesses the relationship between social interaction and digital finance.

The authors find that active online social interaction of rural households promotes digital finance participation, which also increases the depth and breadth of digital finance usage. Meanwhile, the role of traditional offline social interaction is insignificant. Contextual interaction is the channel through which online social interaction influences digital finance participation. Moreover, word-of-mouth, common topic pleasure and social norms in endogenous interactions are irrelevant. In addition, the role of online social interaction complements offline social interaction at promoting digital finance participation.

This study contributes to the understanding of digital finance by investigating the possible channels by which social interaction influences digital finance participation and highlight an important channel–contextual interaction, especially for online social interaction. This study expands the content of social interaction from traditional offline social interaction to online social interaction to evaluate the interface between social interaction and financial behavior more comprehensively.

The purpose of this study is to research the influence of wire’s surface topography on interwire contact performance of simple spiral strand.

The mechanical model of the simple spiral strand imposed by a tensile load is first established, into which the surface topography, Poisson’s ratio effect and radial deformation are incorporated simultaneously. Meanwhile, the Gaussian and non-Gaussian rough surfaces of the steel wires are obtained with the fast Fourier transform (FFT) and digital filter technology. Then, the rough interwire contact performance of the simple spiral strand is calculated by using conjugate gradient method and FFT.

As compared with smooth wire surface, both the longitudinal orientation for the Gaussian wire surface and large kurtosis or small skewness for the non-Gaussian surface yield a small contact pressure and stress.

This study conducts detailed discussion of the influence of wire’s surface topography on the interwire contact performance for the simple spiral strand and gives a beneficial reference for the design and application of a wire rope.

This paper aims to explore the latest study of the emerging data-driven approach in the area of FinTech. This paper attempts to provide comprehensive comparisons, including the advantages and disadvantages of different data-driven algorithms applied to FinTech. This paper also attempts to point out the future directions of data-driven approaches in the FinTech domain.

This paper explores and summarizes the latest data-driven approaches and algorithms applied in FinTech to the following categories: risk management, data privacy protection, portfolio management, and sentiment analysis.

This paper details out comparison between different existed works in FinTech with traditional data analytics techniques and the latest development. The framework for the analysis process is developed, and insights regarding the implementation, regulation and workforce development are provided in this area.

To the best of the authors’ knowledge, this paper is first to consider broad aspects of data-driven approaches in the application of FinTech industry to explore the potential, challenges and limitations of this area. This study provides a valuable reference for both the current and future participants.

The luxury brands sales in emerging markets will see rapid growth. When entering the emerging markets, luxury fashion brands always find it challenging to balance adaption with local consumer culture and standardization to maintain their global brand image. The present study attempts to examine this intriguing issue of adaptation and standardization and many other challenges for luxury brands in the emerging market by focusing on China’s luxury market. A case study on China is conducted, which consisted of reviewing academic literature and consulting trade reports, examining over 50 luxury brands’ Chinese websites, reading newspaper articles, conducting field trips to luxury retail outlets, and studying luxury brands’ advertisements in major Chinese fashion magazines. We identified five intriguing market characteristics that must be taken into account in order to succeed in this market. Specifically, we found that to perform well in China’s luxury market, luxury brands should have a good understanding of the conflicting Chinese social cultural sentiments toward luxury consumption. Luxury brands should seek a balance between standardization and adaptation and appeal to both consumers’ converging needs and their desire for products that embrace local elements. Further, given the unique consumer characteristics, luxury brands should better serve the young and economically diverse consumer base in China.

The purpose of this paper is with delay-independent stabilization of nonlinear systems with multiple time-delays and its application in chaos synchronization of Rössler system.

Based on linear matrix inequality and algebra Riccati matrix equation, the stabilization result is derived to guarantee asymptotically stable and applicated in chaos synchronization of Rössler chaotic system with multiple time-delays.

A controller is designed and added to the nonlinear system with multiple time-delays. The stability of the nonlinear system at its zero equilibrium point is guaranteed by applying the appropriate controller signal based on linear matrix inequality and algebra Riccati matrix equation scheme. Another effective controller is also designed for the global asymptotic synchronization on the Rössler system based on the structure of delay-independent stabilization of nonlinear systems with multiple time-delays. Numerical simulations are demonstrated to verify the effectiveness of the proposed controller scheme.

The introduced approach is interesting for delay-independent stabilization of nonlinear systems with multiple time-delays and its application in chaos synchronization of Rössler system.

The purpose of this paper is to study the control and synchronization of the hyperchaotic finance system.

A single controller scheme is introduced. The Routh-Hurwitz criteria and the structure of solution of first-order linear differential equations are adopted in analysis of control and synchronization.

Two single controllers are designed and added to the new hyperchaotic finance system. The stability of the hyperchaotic finance system at its zero equilibrium point is guaranteed by applying the appropriate single controller signal based on Routh-Hurwitz criteria. Another effective controller is also designed for the global asymptotic synchronization on the hyperchaotic finance system based on the structure of solution of first-order linear differential equations. Numerical simulations are demonstrated to verify the effectiveness of the proposed single controller scheme.

The introduced approach is interesting for control and synchronization the hyperchaotic finance system.

We investigate how communities in China use schools to create and reproduce the values, knowledge, and social expectations that engender social capital. We focus on private and girls’ education, and report on the experiences of four schools between 1995 and 2005. We argue that, beyond schools’ contribution to the skills acquired by individual students, whether they promote the formation of social capital within communities should be a part of our assessment of their effectiveness. Schools as centers of activism can provide communities a forum for formulating their social demands and identities. In this context, social capital formation provides a useful heuristic for reclaiming the language of social justice and considering the human ends of education.

Coil shape quality is the external representation of strip product quality, and it is also a direct reflection of strip production process level. This paper aims to predict the coil shape results in advance based on the real-time data through the designed algorithm.

Aiming at the strip production scale and coil shape application requirements, this paper proposes a strip coil shape defects prediction algorithm based on Siamese semi-supervised denoising auto-encoder (DAE)-convolutional neural networks. The prediction algorithm first reconstructs the information eigenvectors using DAE, then combines the convolutional neural networks and skip connection to further process the eigenvectors and finally compares the eigenvectors with the full connect neural network and predicts the strip coil shape condition.

The performance of the model is further verified by using the coil shape data of a steel mill, and the results show that the overall prediction accuracy, recall rate and F-measure of the model are significantly better than other commonly used classification models, with each index exceeding 88%. In addition, the prediction results of the model for different steel grades strip coil shape are also very stable, and the model has strong generalization ability.

This research provides technical support for the adjustment and optimization of strip coil shape process based on the data-driven level, which helps to improve the production quality and intelligence level of hot strip continuous rolling.