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This paper aims to study the component pick-and-place (P&P) defect patterns for different root causes based on automated optical inspection data and develop a root cause identification model using machine learning.

This study conducts experiments to simulate the P&P machine errors including nozzle size and nozzle pick-up position. The component placement qualities with different errors are inspected. This study uses various machine learning methods to develop a root cause identification model based on the inspection result.

The experimental results revealed that the wrong nozzle size could increase the mean and the standard deviation of component placement offset and the probability of component drop during the transfer process. Moreover, nozzle pick-up position can affect the rotated component placement offset. These root causes of defects can be traced back using machine learning methods.

This study provides operators in surface mount technology assembly lines to understand the P&P machine error symptoms. The developed model can trace back the root causes of defects automatically in real line production.

The findings are expected to lead the regular preventive maintenance to data-driven predictive and reactive maintenance.

The success of social commerce group-buying information system (IS) is not a simple accumulation of functions, but a complex process of system integration that makes it difficult to design a high-quality website to improve the conversion rate of users has become a top priority for online companies. The purpose of this study is to further improve the IS success model to adapt to the new research scenarios and explore the boundary conditions between different satisfaction and repurchase intention.

In this study, the users who have used the group-buying website quality for social commerce in the last 6 months are the objects of this study. Finally, 436 valid data were collected by questionnaire survey and analyzed by Smart PLS.

The results indicate that the four dimensions of website quality enhance consumers' economic satisfaction and social satisfaction, except that the path of system quality and social satisfaction is not significant. Economic satisfaction and social satisfaction also have a significant positive effect on repurchase intentions. Besides, the interactive effect of customer involvement and economic satisfaction has no significant impact on repurchase intention, but customer involvement plays a moderate role in the path of social satisfaction on repurchase intention.

n order to make the IS success model better evaluate the characteristics of social commerce sites comprehensively, this present research introduces the measurement construct of interaction quality. Moreover, this study examines the effect of mechanism of economic satisfaction and social satisfaction on repurchase intention from the perspective of practical benefit and psychology. Finally, the boundary conditions of the effect of satisfaction on repurchase intention are explored.

Fashion designers in South Africa remain ambivalent in embracing sustainable fashion. This study examines the role of neutralisation techniques on attitude towards sustainable fashion. The study was conducted in South Africa, an emerging market known for water scarcity and pollution emanating from the textile industry.

A structured questionnaire was used to collect cross-sectional data from a sample of 590 fashion designers using a web-based online survey. Study constructs were drawn from the neutralisation theory and theory of planned behaviour.

Standard multiple regression analysis results identified denial of injury, appeal to higher loyalties and external locus of control as the major rationalisation techniques influencing South African designers' negative attitudes towards sustainable fashion.

Research was conducted in South Africa where the concept of sustainable fashion is still at developmental stages. The generalisation of the study findings may be enhanced by extending the study to other markets with a fully developed market for sustainable fashion.

The study results underscore the necessity of reducing social, structural and institutional barriers associated with the adoption of sustainable fashion. This study provides input towards efforts to develop attitude change strategies to stimulate designers to embrace sustainable fashion.

The research study contributes to theory, practice and future research.

The study aims to understand how cultural route heritage is conceptualized and managed in China by systematically reviewing the research literature on Chinese cultural route heritage (CRH). The study intends to inspire further discussion on the theoretical and practical development of cultural routes since the development is still at a liminal stage in China.

A total of 253 research articles related to Chinese cultural rote heritage from major Chinese and English research databases China National Knowledge Infrastructure (CNKI), Web of Science (WOS) and Scopus have been comprehensively identified and reviewed for the purpose of the study.

Four major themes of research on Chinese CRH have been identified: conceptual evaluation, list of the routes and characteristics of the routes, conservation and utilization. The results revealed that China has very rich resources in CRH, many of which were formed a long time ago, which exist across vast geographic regions and have assumed multiple functions and undergone dynamic reciprocal exchanges among diverse cultures and ethnicities.

The paper summarizes some major obstacles faced by CRH in China and proposes a strategic model to address the need for a more sustainable development of CRH in the Chinese context.

The paper offers a comprehensive overview of CRH in China and discusses practical issues in management and development of heritage great in size, number and complexity.