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This study aims to provide measurable information that evaluates a company’s ESG performance based on the conceptual connection between ESG, non-financial elements of a company and the UN Sustainable Development Goals (SDGs) for resolving global issues.

A novel data processing method based on the BERT is presented and applied to analyze the changes and characteristics of SDG-related ESG texts from companies’ disclosures over the past decade. Specifically, ESG-related sentences are extracted from 93,277 Form 10-K filings disclosed between 2010 and 2022 and the similarity between these extracted sentences and SDGs statements is calculated through sentence transformers. A classifier is created by fine-tuning FinBERT, a financial domain-specific pre-trained language model, to classify the sentences into eight ESG classes.

The quantified results obtained from the classifier reveal several implications. First, it is observed that the trend of SDG-related ESG sentences shows a slow and steady increase over the past decade. Second, large-cap companies relatively have a greater amount of SDG-related ESG disclosures than small-cap companies. Third, significant events such as the COVID-19 pandemic greatly impact the changes in disclosure content.

This study presents a novel approach to textual analysis using neural network-based language models such as BERT. The results of this study provide meaningful information and insights for investors in socially responsible investment and sustainable investment and suggest that corporations need a long-term plan regarding ESG disclosures.

This study quantified companies' views on the COVID-19 pandemic with sentiment analysis of US public companies' disclosures. The study aims to provide timely insights to shareholders, investors and consumers by exploring sentiment trends and changes in the industry and the relationship with stock price indices.

From more than 50,000 Form 10-K and Form 10-Q published between 2020 and 2021, over one million texts related to the COVID-19 pandemic were extracted. Applying the FinBERT fine-tuned for this study, the texts were classified into positive, negative and neutral sentiments. The correlations between sentiment trends, differences in sentiment distribution by industry and stock price indices were investigated by statistically testing the changes and distribution of quantified sentiments.

First, there were quantitative changes in texts related to the COVID-19 pandemic in the US companies' disclosures. In addition, the changes in the trend of positive and negative sentiments were found. Second, industry patterns of positive and negative sentiment changes were similar, but no similarities were found in neutral sentiments. Third, in analyzing the relationship between the representative US stock indices and the sentiment trends, the results indicated a positive relationship with positive sentiments and a negative relationship with negative sentiments.

Performing sentiment analysis on formal documents like Securities and Exchange Commission (SEC) filings, this study was differentiated from previous studies by revealing the quantitative changes of sentiment implied in the documents and the trend over time. Moreover, an appropriate data preprocessing procedure and analysis method were presented for the time-series analysis of the SEC filings.

The purpose of this study was to develop an environment-friendly finishing process for coloring and functionalizing fabrics using the extracts from aronia fruit (AF) and/or aronia leaf (AL).

Coloring and functional compounds were extracted from both AF and AL to prepare dyeing and finishing agents for textiles. The bioactive compounds were identified, and their concentrations were determined by spectrophotometry and high-performance liquid chromatography. The extracts were then used to dye and finish natural fibers. The cotton and wool fabrics treated with AF, AL and a combination of AF + AL extracts were investigated in terms of coloring properties and functionalities, specifically antioxidant capacity and antibacterial property.

According to the obtained results, AF extracts contained significant amounts of anthocyanins and phenols while AL extracts contained higher amounts of phenols with very low levels of anthocyanins. It was successfully demonstrated that the AF and AL extracts can be used to dye fabrics with good color properties. Moreover, textiles treated with aronia extracts inhibited the growth of gram-negative and gram-positive bacteria and exhibited antioxidant properties.

AF extract showed superior coloring and functional properties compared to AL extract. However, the treatment solution containing both AF and AL extracts demonstrated significant synergic effects on the antibacterial and antioxidant properties of the treated fabrics.

Recent technological turbulence stemming from Industry 4.0 provides managerial opportunities and challenges simultaneously. In this context, the purpose of this study is to explore the role of technological opportunism on innovativeness and discover the impact of innovativeness on new products performance in international markets.

To empirically test the hypotheses, the authors have collected survey data from 237 Korean exporting firms and applied structural equation modeling.

Empirical results indicate that technological opportunism, which represents technology sensing and responding capability, has a positive and significant influence on both exploratory and exploitative innovativeness. Also, explorative and exploitative innovativeness have positive and significant effects on new product performance in international markets.

This study highlighted the importance of technology sensing and responding capabilities to capture emerging opportunities, which may arise from Industry 4.0 technologies. In addition, sensing and responding capabilities will help a firm create a culture that values innovative proclivity, and in turn, will lead to superior new product performance in international markets.

Despite extensive scholarly interest in Industry 4.0, previous studies have neglected to address the potential impact of Industry 4.0 within the domain of new product development and its performance. Also, there have been several calls from the literature to address the managerial and strategic issues surrounding the Industry 4.0 phenomenon. In this study, the authors attempted to fill the research gaps in Industry 4.0 research studies through empirical examination.

In the era of Industry 4.0, international firms are required to respond to more complex and frequent changes in the global market. This study aims to explore the role of organizational agility as a key driver to generate superior performance in international markets in the era of technological transformation and how the degree of such impact is affected by the absorptive capacity of companies.

This research uses the results of a survey targeting 228 Korean exporters to identify the link between organizational agility and business performance in the global market under different degrees of potential and achieved absorptive capacity in the Industry 4.0 era.

The empirical results indicate that companies with a high level of organizational agility outperform their counterparts in the global market. The data further revealed that realized absorptive capacity positively moderates the relationship between organizational agility and firm performance when it is achieved, whereas the moderating role of potential absorptive capacity is not significant.

This research contributes to the advancement of international business studies on organizational agility and Industry 4.0 by highlighting the implication of organizational agility on firm performance and the contingent role of absorptive capacity.

To examine the effect of pay‐for‐performance on distributive justice and the moderating effect of commitment performance appraisal in the case of Korean employees.

Data were collected from 28 companies and 656 employees. Moderated regression analyses were employed.

Findings show that pay‐for‐performance enhances employees' perception of distributive justice only when there is a commitment performance appraisal practice. Additional analysis shows that the commitment performance appraisal practices of a company influence employee perceptions of such practices in a U‐shape fashion.

Since, data were collected from 28 companies, the results may need to be modified before being generalized to/for Korean companies.

It is notable that only when accompanied by commitment performance appraisal does pay‐for‐performance enhance employee perception of distributive justice. Managers in Korean companies should consider implementing commitment appraisal practices when they want to utilize pay‐for‐performance.

This paper notes the fundamental changes in the pay systems in Korean companies, and offers practical implications for managers starting out on a pay‐for‐performance system.

This study investigates the underlying mechanism through which perceived local iconness increases customers’ purchase intentions for culturally mixed products.

It utilizes an online survey with purposive sampling to gather data. Structural equation modeling is applied to examine data gathered from 471 Chinese customers.

Consumers’ perceived local iconness of culturally mixed products positively influences their purchase intentions, and this connection is mediated by perceptions of quality, social and emotional values.

Incorporating Chinese cultural elements that can evoke local iconness perceptions among Chinese consumers is necessary for global brands. Moreover, when creating or promoting culturally mixed products, global brands should carefully consider consumers’ perceived quality, social and emotional values.

Drawing on the signaling theory, this study advances knowledge on how local iconness increases the value of and customers’ desire to purchase culturally mixed products. It provides practical suggestions on how global brands can succeed when launching culturally mixed products in emerging markets.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.