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Due to the strong reliance on element quality, there exist some inherent shortcomings of the traditional finite element method (FEM). The model of FEM behaves overly stiff, and the solutions of automated generated linear elements are generally of poor accuracy about especially gradient results. The proposed cell-based smoothed point interpolation method (CS-PIM) aims to improve the results accuracy of the thermoelastic problems via properly softening the overly-stiff stiffness.

This novel approach is based on the newly developed G space and weakened weak (w²) formulation, and of which shape functions are created using the point interpolation method and the cell-based gradient smoothing operation is conducted based on the linear triangular background cells.

Owing to the property of softened stiffness, the present method can generally achieve better accuracy and higher convergence results (especially for the temperature gradient and thermal stress solutions) than the FEM does by using the simplest linear triangular background cells, which has been examined by extensive numerical studies.

The CS-PIM is capable of producing more accurate results of temperature gradients as well as thermal stresses with the automated generated and unstructured background cells, which make it a better candidate for solving practical thermoelastic problems.

It is the first time that the novel CS-PIM was further developed for solving thermoelastic problems, which shows its tremendous potential for practical implications.

This study aims to contribute to the clarification of core concepts in information experience research and to the consolidation of information experience as a distinctive research object.

This study adopts a series of techniques from Wilson's toolkit of concept analysis.

This study finds that there exist tensions between different uses of the term information experience, giving rise to two fundamentally different conceptions of this particular human experience which this study names, respectively, the posterior conception and the a priori conception. It also finds that it is linguistically more useful, practically more consonant with LIS's concerns and unitarily more consistent to define information experience following the a priori conception. It postulates that information experience can be defined as a person's subjective, pre-reflective living through of his/her life as an information user in the information sphere of the lifeworld.

If adopted by future research, the concept proposed in this study is likely to push information experience research toward a more prominent phenomenological turn on the one hand, and a return to conventional LIS concerns on the other.

The clarified concept may help user experience librarians and system designers to see the relevance of information experience research for their work more clearly.

By identifying, comparing and discussing different existing uses of information experience, and by suggesting a redefinition of the concept, this study has brought the core concepts of information experience research to a new level of clarity, and has verified information experience as a distinctive object for LIS research.

Most existing methods for concrete crack detection are based on deep learning techniques such as convolutional neural networks. However, these models, due to their large memory footprint, high power consumption and insufficient feature extraction capabilities, face challenges in mobile applications. To address these issues, this paper proposes a lightweight spiking neural network detection model.

This model achieves fast and accurate crack detection. Firstly, the Gabor-Spiking (GS) module preprocesses input images, extracting texture features and edge features of crack images through Gabor filter convolution modules and spiking convolution modules, respectively. Next, the multiscale residual (MR) module is designed, composed of convolutional layers and residual modules of various scales, to process the fused features and perform crack detection.

Experimental results demonstrate that the model’s size can be reduced to 4.6 MB, achieving accuracy improvements to 87.3 and 96.4% on the SDNET and OCD datasets, respectively.

This paper proposes a lightweight spiking neural network detection model based on the GS module for edge texture feature fusion and the MR module for crack detection.

Purpose – As a well-recognized qualitative research method, storytelling can help to explain the multilevel and dynamic perspectives in management studies. The authors purposefully chose sustainability stories in the Western context, leadership stories in the Eastern context, and entrepreneurship stories in the West-meets-East context to highlight the benefits of using storytelling in conducting strategy and management research.

Design/Method/Approach – Qualitative research, field research, and comparative analysis.

Findings – Looking through cultural and philosophical lenses, the authors argue that scholars need to pay attention to research contexts when applying storytelling in their fieldwork. Storytelling can help to unpack the contextual factors, especially to disclose dynamics and complexity issues of strategic management phenomena.

Research implications – While storytelling has been widely used in the Western management context, the authors believe we are among the first to suggest that storytelling can become an insightful and fruitful research method in Eastern management and in combined cultural contexts, and hence, they are attempting to potentially help to advance theory development.

Originality/Value – Two applicable conditions for storytelling are discussed, namely, the multilevel/systems perspective and the dynamic perspective, which are illustrated by sustainability, leadership, and entrepreneurship research in both Western and Eastern contexts.

Welcome to the eighth volume of Research Methodology in Strategy and Management. The theme of this volume is West Meets East: Building Theoretical Bridges. It complements the seventh volume West Meets East: Toward Methodological Exchange. The two volumes together examine the relevance of Western theories and methods in the Eastern research context. In particular, this volume examines the key theoretical areas that strategic management research draws from to understand how managers can lead their companies to achieve competitive advantage in the increasingly globalised economy. We not only focus on the extent to which theories developed in the West can be applied in the understanding of business practice and performance in the East, but also explore methods for developing new insights and theories rooted in the Eastern business practice.

This research aims to examine the impact of friction stir processing (FSP) treatment on an aluminum alloy, especially the AD31T alloy derived from the Al-Fe-Mg-Si system. The aim is to assess the influence of different processing techniques on the microstructure and physical and mechanical characteristics of the material, with a specific focus on structural and bulk imperfections inside the stir zone (SZ).

The study demonstrates that augmenting the linear velocity of the tool within the 25–100 mm/min range results in significant enhancements. The enhancements include a decrease in the heat-affected zone (HAZ), a reduction in the extent of volume defects inside the SZ and a more uniform deformation. The microstructural analysis results are corroborated by data acquired from microhardness and electrical conductivity studies, confirming the beneficial influence of modifying the tool’s linear velocity on the material parameters.

This study provides significant observations on the changes in microstructure and the generation of flaws throughout the process of FSP of AD31T alloy. These results have practical implications for improving the characteristics of the alloy and optimizing the production conditions.

All samples exhibit a distinct reduction in electrical conductivity within the initial third of the sample, aligning with the transitional region between the base metal (BM) and the HAZ. This underscores the importance of understanding the transitional zones during FSP.

The purpose of this paper is to focus on emerging market companies that internationalize into advanced economies by means of acquisitions and to investigate brand management during post-acquisition integration from a multi-level perspective and to identify how a brand management strategy can be constructed. It takes into account the influences of country-of-origin image, corporate brand and brand portfolio to obtain a granular view of post-acquisition brand management.

A multiple case study approach was adopted. By using case studies and storytelling qualitative research methods, the empirical setting was related to the acquisitions undertaken by Chinese companies in Germany.

The authors identified three mechanisms for brand management in the post-acquisition integration of emerging market companies – namely, transferring, dynamically redeploying and categorizing – that underpin the interconnection and combined influence of country-of-origin image at the national level, corporate brand at the organizational level and brand portfolio at the product level.

Brand has been viewed as a strategic asset in Chinese cross-border mergers and acquisitions (M&As). Brand management is a dynamic process that involves learning and interaction between the acquirer and target. The research offers a practical guideline for both acquirers and targets in managing brand in the context of acquisitions undertaken by emerging market companies in advanced economies.

The findings provide important insights into the brand management strategies adopted in Chinese cross-border M&As in particular, and emerging market companies venturing into advanced economies in general. The interlinking of country, company and product levels introduces new ideas to the brand literature related to acquisitions, and the setting of Chinese companies acquiring German ones constitutes an important contribution to the understanding of the different ways in which companies from emerging economies may pursue branding strategies in the context of cross-border M&As.

This study delves into the impact of mindfulness on the retention intention of technology employees, with a particular focus on the mediating variables of affective commitment (AC) and organizational identification (OI). The primary aim is to gain a comprehensive understanding of the underlying mechanisms through which mindfulness influences the retention intention of technology employees.

The research employed a survey approach with self-administered questionnaires and structural equation modeling. The collected data were analyzed using Statistical Product and Service Solutions (SPSS) 24 and Analysis of Moment Structure (AMOS) 28. Multiple mediation analyses was conducted through AMOS to examine the mediating effects of OI and AC.

The association between mindfulness and retention intention among technology employees showed an overall positive correlation. Additionally, AC and OI were positively correlated with retention intention. In the impact of employee mindfulness (EM) on retention intention, all indirect effects were found to be significant.

To the best of the authors' knowledge, this study is the first to investigate the relationship between EM and retention intention, as well as the associations of AC and OI with them, extending the application of mindfulness in management and offering insights for talent retention among company decision-makers.

Recent research has recognised the importance of supply chains and ecosystems as key drivers of successful servitization strategies, especially in the context of inter-organisational relations (IOR). The body of knowledge has, however, become increasingly fragmented and diverse due to different disciplinary roots of both servitization and IOR research. The purpose of this paper is to take stock of current knowledge and to generate a set of future research directions for servitization-related supply chain and ecosystem research.

A systematic review methodology was applied. A thematic analysis was conducted on a sample of 34 papers in the period 2010–2021 to identify the key themes within the servitization-related supply chain and ecosystem literature.

The review revealed a limited, but expanding, knowledge base for servitization-related supply chain and ecosystem research. The findings provide insight into current trends across four thematic areas: theoretical orientation, methodological approaches, research context and research content. Within these themes, it was found that four main areas of research content have been studied (supplier relationships, risk perception and uncertainty, capability development and resource integration), with most research adopting case-based methodologies within three main industrial contexts: manufacturing, industrial and software. Finally, a broad range of theoretical orientations have led to an increasingly fragmented and diverse literature base.

This study is the first to review servitization-related supply chains and ecosystems. It contributes insights through an IOR lens to categorise and organise a core set of themes and concepts for servitization-related supply chain and ecosystems research. It identifies research gaps within the extant literature and presents a set of future research directions.

The purpose of this paper is to examine the relationship between working capital management (WCM) and firm performance in the context of the Chinese economy. Specifically, it investigates the effects of ownership structures as an internal factor and of institutional environments (IE) as an external factor shaping this relationship.

The study applies two-way fixed effect regression models to a sample of Chinese listed manufacturing firms for the period of 2010 to 2017. WCM is measured by cash conversion cycles (CCC); profitability is measured by core profit ratios; ownership structures are classified based on state-owned enterprises (SOEs) and non-SOEs; and IEs are measured from dimensions of factor markets (FM) and legal systems (LS).

First, the results show a negative relationship between CCC and firm performance. Second, the negative relationship between CCC and profitability is significant for non-SOEs but not for SOEs. Third, both the FM and LS strengthen the negative association between CCC and profitability. Fourth, the moderating effect of FMs and LSs is evident for non-SOEs only. The results hold when using alternative measures of WCM and profitability and while controlling for additional variables.

The current study shows that while WCM has a significant effect on the profitability of Chinese firms, such an effect greatly depends on the ownership structures and IE involved. The results thus offer important implications in helping the Chinese government create better IEs and in allowing manufacturing firms to improve upon their WCM practices.