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This research aims to clarify the relationship between organizational identification and employees’ unethical pro-organizational behavior, which has been a topic of mixed findings in previous empirical studies. To address this issue, a meta-analytic review was conducted, focusing on the influence of key individual differences such as gender, age and organizational tenure on the relationship between organizational identification and unethical pro-organizational behavior.

The study utilizes large scholarly databases including Google Scholar, PsycINFO, Business Source Premier and ProQuest Dissertations to identify relevant studies. A total of 31 independent samples with a combined sample size of 8,861 participants were included in the analysis.

The results showed that the estimated average correlation between organizational identification and unethical pro-organizational behavior after corrected for measurement unreliability was 0.188 (p < 0.001, 95% [CI: 0.125, 0.251]). Gender demonstrated a significant moderating effect (estimate = 0.004, p < 0.05, 95% [CI: 0.000, 0.007]), suggesting that there is stronger association between organizational identification and unethical pro-organizational behavior among male participants. Neither age nor organizational tenure had significant effect on organizational identification-unethical pro-organizational behavior relations.

This study revealed that the organizational identification-unethical pro-organizational behavior link was positive, and the relationship was stronger among male participants than their female counterparts. Age and organizational tenure show no significant impact on unethical pro-organizational behavior. These contribute to The authors' understanding of organizational identification-unethical pro-organizational behavior relationship, as well as identifying its boundary conditions. The study suggests directions for future research and implications for managers and practitioners.

While most corporate social responsibility (CSR) research has focused on its positive effects, the potential “dark side” of CSR has received scant attention. Grounded in vicarious moral licensing theory and insights from related literature, the current study examines how employees' perceptions of external CSR could result in unintentional negative consequences like unethical pro-organizational behavior via psychological entitlement. The study also investigates the direct and conditional effects of private self-awareness.

A two-wave survey of 609 full-time employees from various occupations was conducted to empirically test the hypotheses. Several techniques and remedies were applied to control the quality of the sample data and mitigate the effects of potential common method bias.

The results demonstrate that unethical pro-organizational behavior can be an unintentional negative outcome of perceived external CSR, and psychological entitlement mediates the relationship.

This work contributes to the moral licensing literature by examining vicarious moral licensing in the work domain. It offers several new and significant implications for research on CSR, psychological entitlement, and unethical pro-organizational behavior. The results suggest that managers should be mindful of unethical pro-organizational behavior as a potential negative consequence of external CSR engagement.

This study is among the first attempts to examine vicarious moral licensing in the work domain and investigates a largely neglected research area – the negative aspect of external CSR.

This study aimed to present the methodology of the text data analysis to establish marketing strategies for fintech companies in a practical way. Specifically, the methodology was presented to convert customers' review data, which consisted of the text data (unstructured data), to the numerical data (structured data) by using a text mining algorithm “Global Vectors for Word Representation,” abbreviated as “GloVe”; additionally, the authors presented the methodology to deploy the numerical data for marketing strategies with eliminate-reduce-raise-create (ERRC) value factor analytics.

First, the authors defined the background, features and contents of fintech services based on a review of related literature review. Additionally, they examined business strategies, the importance of social media for fintech services and fintech technology trends based on the literature review. Next, they analyzed the similarity between fintech-related keywords, which represent the trends in fintech services, and the text data related to fintech corporations and their services posted on Facebook and Twitter, which are two of the most popular social media globally, during the period 2017–2019. The similarity was then quantified and categorized in terms of the representative global fintech companies and the status of each fintech service sector. Furthermore, the similarity was visualized, and value elements were rebuilt using ERRC strategy analytics.

This study is meaningful in that it quantifies the degree of similarity between customers' responses, experiences and expectations regarding the rapidly growing global fintech firms' services and trends in fintech services.

This study suggests a practical way to apply in business by providing a method for transforming unstructured text data into structured numerical data it is measurable. It is expected that this study can be used as the basis for exploring sustainable development strategies for the fintech industry.

Toyota's internationally coordinated production system in Asia and its selection of supply bases in South America and South Africa highlights the significance of recognizing global network firms and the global hub-and-spoke logistics system that has been developed to meet their needs. This system underpins the expansion of container shipping, air freight and telecommunications. Recognition of Main Street, linking Europe, Asia and North America with cui-desacs in Africa, Australasia and Central and South America, provides a framework for examining the relative importance of the system's hubs and terminals across different modes and regions. This analysis provides the basis for identifying and ranking key regional logistics platforms in Northeast Asia and their attraction as headquarter sites for global network firms. Examining the logistical situation pertaining after the end of the Cold War in the early 1990s and a decade later is used to gauge progress towards regional economic integration in Northeast Asia.