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This paper aims to explore what Chinese doctors have learned in authentic medical practice, what they want to learn, and the dynamics behind their professional learning in working contexts.

The paper uses Narrative Inquiry, qualitative data which were collected by open‐ended face‐to‐face interviews and participative observation. Seven doctors from three hospitals in Shandong province were purposefully invited. Each participant was interviewed at least once, and all interview recordings were transcribed into research texts. The author narrated and re‐narrated stories of one chosen participant named Li Hengyang (pseudonym).

The paper finds that Chinese doctors divided their learning into two kinds: “professional” and “non‐professional”. The intrinsic‐motive‐driven learning of medical knowledge and techniques was attributed to “professional” and the extrinsic‐motive‐driven learning of “other things” was treated as “non‐professional”. The resultant force of intrinsic and extrinsic motives caused a performance disorder, a vague sense of professional identity, and involuntary expressive behaviours. The author finally pointed out that Chinese doctors' professional learning in working contexts is, to some extent, identity‐oriented.

Single theoretical perspective constrained the analysis; future research may use different theoretical perspectives besides Goffman's theatrical performance theory.

The paper presents identity‐oriented learning of Chinese doctors and the dynamics behind it, which have practical implications for Chinese doctors, medical professional educators and national medical policy makers.

Although Chinese doctors' training and education have been explored a lot, their professional learning in working contexts was rarely studied before.

This study aims to investigate three common approaches – quantitative blog features analysis, content analysis, and community identification – to detect influence in the blogosphere (i.e. among blog posts).

Quantitative analysis of blog features, together with manual sentiment and agreement analysis and community identification, were performed on blog postings and their content. Correlation studies of the selected influential variables were conducted to determine the effectiveness of each variable.

Agreement expressed by the linking blogger with the linked blogger, similar sentiments expressed by both bloggers on common topics, and community identity are statistically significant features for detecting influence in the linked blogs.

A small data set of 196 blog posting pairs was used for the study as the blog features and content are analysed manually. Nonetheless statistical analysis on the data set identified significant features that could be used in future studies to automate the influence detection process.

Knowing the effects of blog features and content analysis in detecting influence among blog posts allows a better influence detection method to determine the main chain of information propagation within the blogosphere and the identities of influential bloggers.

The approach of using blog features, content analysis, and community identity provides a comprehensive evaluation of influence in the blogosphere. Unlike previous content analysis approaches that measure document similarity (i.e. common terms) between linked blog posts, our study applies sentiment and agreement analysis to consider the context of the whole blog post content.

The purpose of this study is to examine the impact of chief executive officer (CEO) hometown identity on company audit fees in the Chinese setting.

This study uses data from Chinese public companies in the Shanghai Stock Exchange and the Shenzhen Stock Exchange for the period 2008–2019. This study investigates the impact path of CEO hometown identity on company audit fees and further examines the moderating role of internal and external governance level.

This study finds that CEO hometown identity is significantly and negatively related to company audit fees. In addition, CEO hometown identity can reduce audit fees by alleviating agency risk and litigation risk. Moreover, the negative effect of CEO hometown identity on audit fees is more pronounced in companies with a higher percentage of institutional investors shareholding and more analysts tracking quantity.

This study may provide new references for executives’ selection, auditors’ optimization decisions and regulators’ information disclosure system.

This study contributes to the literature by exploring the effect of CEO hometown identity on audit fees in the context of China.

Marketing scholars have begun to look at negative emotions that young consumers could develop toward brands, such as brand hate. Brand hate has experienced exponential growth during the past decades in the cosmetic industry. In this frame, the purpose of this paper is to identify the weight of each of the five key drivers of brand hate and to analyze if these weights are the same (or not) for drugstore and luxury make-up brands regarding.

To carry on this paper, brand haters in the make-up industry were contacted with the help of cosmetic influencers. Participants of the online questionnaire (N = 162) were existing young makeup consumers. They were divided into drugstore and luxury makeup brand haters by classifying their identified hated brands into either group.

The authors’ results showed, first, that experiential, identity, moral, deficit-value and advertising avoidance all had a positive effect on brand hate, being identity avoidance the strongest one. Second, drugstore and luxury makeup brand haters do not differ, as far as no differences were identified in the strength of each avoidance type on brand hate.

There is a gap in the literature related to the absence of work investigating brand hate in the make-up industry; moreover, studies measure whether brand hate drivers are the same (or not) for luxury brands and drugstore brands that compete in the same arena. In this framework, this research will provide a specific industry context involving young consumer opinions. Research into consumer–brand relationships has been largely focused on the positive forms, while the negative forms are still a relatively newer area of academic interest. Even more, brand hate has been investigated from a multidimensional approach linking proposals from different authors has been tested.

The purpose of this paper is to examine how business ecosystems evolve, what is the identity of business ecosystem and is the ecosystem identity static or dynamics. To understand the above questions, this paper is conducted on stone carving clusters in India.

The author engaged the ethnographic approach in this study. To sample stone carving clusters of India, the author followed the snowball sampling method. Further, the author did collect the information by informal personal discussions, focus group discussions and participant observations. Furthermore, the thematic analysis and interpretative phenomenological analysis were applied to process the data. The validity and reliability of the method was ascertained by testing the credibility, dependability, confirmability and transferability.

The author found that the business ecosystem of stone carving was dynamic, and it was transformed from the buyer-driven ecosystem to the supplier-driven ecosystem. The identities of the early stage business ecosystem and the late stage ecosystem were analyzed through product, network and information flow. The author developed a structural framework to conceptualize the identity domain of the business ecosystem and the author named it as “nature-conduct-performance model.” Also, the author conceptualized the identity evolution, the influence of social system on business ecosystem identity, and identity-based conflicts and identity-based cooperation in the stone carving business ecosystem.

This study is making additional theoretical contribution in conceptualize the business ecosystem from the identity construct.

The purpose of this paper is to call researchers’ attention to cross-cultural research using online consumer reviews and multilingual textual analysis.

The authors discuss a selected literature review and the highlight of the four studies that show cross-cultural differences in online reviews on ethnic restaurants.

Applying multilingual textual analysis could prompt new venues to verify and expand future cross-cultural research in tourism and hospitality.

The paper introduces examples of multilingual textual analysis used for cross-cultural studies.

Demonstrates changes in conservatism in a cross‐cultural and over time perspective. Using a micro‐model, attempts to explain the interdependency of materialism, religion, authority and family in establishing convention. Presents the findings of a questionnaire of undergraduates in North Carolina looking at the identities that reflect the suggested changes. Combines the analysis of a time series established over 20 years in the US with a cross sectional analysis of Germany to test a model of conservatism.

The purpose of this paper is to explore which socioeconomic and institutional factors are responsible for different societies’ ideological choices, with reference to Marxist socialism. Which factors led to the rise of the popularity of socialism? And which factors made a socialist variant relatively more successful in one society but not the other, with social democracy and communism being the focus of the study?

Conducting a global theoretical and empirical study on the period between the late 1890s and 1945. The theoretical part discusses various perspectives presented in the literature, accounting for the works of major sociologists (e.g.: M. Mann, Lipset) and political theorists (e.g.: Marx, Engels, Lenin). The empirical part uses a number of OLS multivariate panel regressions using voting to various socialist movements as dependent variables, and socioeconomic and institutional factors as independent variables.

Some of the findings of the conducted empirical study are that: democracy, industrialization, high population growth rates, low linguistic or religious homogeneity, more years of schooling and less years since independence or creation increase the social democrat (SD) vote. The communist vote was affected positively by more urbanization; higher population growth; less years of schooling; more years since independence; recent experience of war; and the presence of insignificant religious minorities. Inequality seemed also to have been a strong significant factor for raising the popularity of various socialist parties, especially when countries were long-established or created. Countries which had a fresh experience with war devastation or which were highly urbanized while having higher levels of inequality witnessed an increasing vote share for the communists. More votes went to SD; however, when inequality existed in highly industrialized countries. High GDP growth, matched with higher inequalities, did not seem to have encouraged voting for various socialist parties, and even affected the communist vote negatively.

There were data limitations on the available proxies.

This study suggests welfarism, public spending on education, social inclusion and democratization as remedies for radicalism, regardless of the ideological origins of such radicalism.

Its novelty is attributed to the deep analytical dimension for the issue done here, combining theory, an empirical study made possible by the newly available rich historical data.

This study provides an overview of the application of sentiment analysis (SA) in exploring social movements (SMs). It also compares different models for a SA task of Algerian Arabic tweets related to early days of the Algerian SM, called Hirak.

Related tweets were retrieved using relevant hashtags followed by multiple data cleaning procedures. Foundational machine learning methods such as Naive Bayes, Support Vector Machine, Logistic Regression (LR) and Decision Tree were implemented. For each classifier, two feature extraction techniques were used and compared, namely Bag of Words and Term Frequency–Inverse Document Frequency. Moreover, three fine-tuned pretrained transformers AraBERT and DziriBERT and the multilingual transformer XLM-R were used for the comparison.

The findings of this paper emphasize the vital role social media played during the Hirak. Results revealed that most individuals had a positive attitude toward the Hirak. Moreover, the presented experiments provided important insights into the possible use of both basic machine learning and transfer learning models to analyze SA of Algerian text datasets. When comparing machine learning models with transformers in terms of accuracy, precision, recall and F1-score, the results are fairly similar, with LR outperforming all models with a 68 per cent accuracy rate.

At the time of writing, the Algerian SM was not thoroughly investigated or discussed in the Computer Science literature. This analysis makes a limited but unique contribution to understanding the Algerian Hirak using artificial intelligence. This study proposes what it considers to be a unique basis for comprehending this event with the goal of generating a foundation for future studies by comparing different SA techniques on a low-resource language.

The purpose of this paper is to examine the relationship between accounting and the early roots of the nation‐state in mid nineteenth‐century Siam/Thailand.

First, the paper examines the theoretical inter‐relationship between accounting and nationalism. Second, it relates this theoretical understanding to a study of the changing concepts, methods and structures of indigenous Siamese accounting at a time of transition when foreign mercantile influence was beginning to have an impact on the mid nineteenth^‐century Siamese economy. Third, the paper analyses how these accounting structures and practices came to constitute a socio‐political instrument, which contributed to the administrative development of a Siamese dynastic state by the mid nineteenth‐century. Finally, the paper studies the ways in which this dynastic state began to promote national characteristics through the use of its accounts to create a sense of Siamese cultural identity.

The findings emphasise the important role of accounting in the construction of political and national identity.

This inter‐disciplinary paper highlights a general neglect in the accounting literature of the instrumental role of accounting in nation‐state formation as well as offering a re‐interpretation of Thai historiography from an accounting viewpoint. Moreover as an example of alternative accounting practice, this paper provides an analysis of indigenous accounting methods and structures in mid nineteenth‐century Siam/Thailand at the point when they were becoming increasingly influenced by foreign mercantilism.