Purpose: The current study focused on work performance of distribution department of AMC (asset management company) industry in China, outlines the challenges faced by distribution employees of Chinese four biggest national AMCs, aiming to enhance the ability of Chinese national AMCs to succeed in the face of external challenges such as economic, social, and technological changes. Research design, data and methodology: This study adopted quantitative methods, questionnaire was collected from 248 general distribution department employees of four national AMCs of China, these employees are from the top 5 developed cities in China, and software Smart PLS 3.0 and SPSS 25 was applied to data analysis. Results: The result of this current study through Smart PLS 3.0 has revealed that the significant effect of affective commitment on contextual performance, affective commitment on task performance, continuance commitment on contextual performance, normative commitment on contextual performance, and effect of continuance commitment on task performance and normative commitment on task performance were found to be non-significant. Conclusions: According to the important role of distribution department, managers in China's national AMCs can leverage the study's findings to enhance organizational commitment among employees of distribution department, and further positively influences distribution department employees' work performance.

Purpose: Thisstudy aimsto explore the mechanism by which poverty alleviation labelsinfluence purchase intentionsin the e-commerce environment, as well as the role of mediating factors within this process. Research Design, Data, and Methodology: The research employs a questionnaire survey method, targeting a sample of 1668 consumers in Anhui Province, China. It focuses on understanding the impact of poverty alleviation labels on e-commerce platforms and the involvement of mediating factors like capability trust, benevolence trust, and honesty trust in this relationship. Results: The results indicate that poverty alleviation labels on e-commerce platforms significantly enhance consumers' purchase intentions. Regression analysis validates the positive impact of poverty alleviation labels on purchase intentions, capability trust, benevolence trust, and honesty trust, revealing the existence of mediating effects. Conclusions: The study provides empirical support for e-commerce poverty alleviation marketing, emphasizing the importance of focusing on and strengthening consumer trust in products. It offers profound insights for both academic research and practical operations in related fields. However, the research is limited to Anhui Province, and future studies could consider expanding the sample size to gain a deeper understanding of regional and cultural variations. Additionally, further research is encouraged to explore the applicability of the findings to other sales channels.

Purpose: The primary aim of this study is to explore how social media marketing influences customer purchase intention, focusing on the roles of customer engagement and trust as mediators. Research Design, Data, and Methodology: The investigation utilized an online survey conducted in Chinese on the Questionnaire Star platform. It targeted male and female consumers aged 18 and above who purchase products online, yielding 1107 valid responses from across major Chinese cities. Results: Analysis reveals that social media marketing significantly affects customer purchase intention in a positive manner. It also enhances customer engagement and trust, which serve as crucial mediating variables linking social media marketing to purchase intention. The study found that engagement and trust facilitate brand identification and alignment, thereby directly boosting purchase intention. Conclusion: The findings offer essential insights for businesses aiming to improve their social media marketing impact on consumer behavior. It highlights the importance of fostering user engagement and trust, as well as creating a favorable brand image. These elements are key to influencing consumer purchase decisions within social media contexts. The study advises businesses to engage deeply with consumers and build trust, providing practical recommendations for navigating the evolving social media environment towards sustainable growth.

Purpose: Most emerging-market countries are concerned about the technology boom, which is accompanied by an increase in revenue from online sales and services. This finding has been demonstrated during the COVID-19 pandemic; however, is this tendency continuing in the new normal, and what factors are driving the increase in consumer decisions? The purpose of this research is to investigate how the decision to utilize online services will be affected in the new normal as well as propose a new research approach in this field. Research Design, Methodology and Approach: By following a deductive research method associated with positivist philosophy, a survey in South Vietnam with 426 respondents using a convenience sampling method was conducted. The reliability of the measurement scales was examined by using the SPSS program. The SmartPLS programme was utilised to assess the measurement and structural models as well as test hypotheses by using partial least squares structural equation modelling. Results: According to the research findings, decision-making has been impacted by social influences, perceived usefulness, perceived ease of use, perceived trust, perceived price, and perceived convenience. Conclusions: The research results also bring significant contributions not only in practice in providing management implications but also in theory. The research model has also demonstrated the feasibility of employing the stimuli-organism-response framework and combining the theory of perceived risk with the technology acceptance model via the explanation of decision-making.

Purpose: Research on financial development plays a crucial role in guiding and implementing policies for both financial development and economic growth. This study aims to evaluate the impact of financial development on the economic growth of Southeast Asian countries. Research design, data and methodology: The research utilizes data from 11 Southeast Asian countries from 2015 to 2022. Financial development data is proxied by credit distribution in private sector. Results: Based on the analysis using the FGLS model, it indicates that financial development has a positive impact on the economic growth of Southeast Asian countries. In addition, the study also examines the impact of state investment costs and FDI investment on economic growth. The results also show that foreign direct investment flows still play an important role in Southeast Asian countries (FDI has a positive impact on economic growth). State investment costs also impact economic growth, showing that the development of public investment also brings good development to countries. Conclusions: These results suggest that credit policies for financial development in general, and the development of private credit in particular, play a significant role in these countries. Building a system to promote the activities of private sector economies will help stimulate the economic development of Southeast Asian countries.

Purpose: This study aimed to develop a strategic business conceptual model for large state plantations in West Java Province and Banten Province, Indonesia. The model was built through causal relationships and interrelationships between marketing strategies and business strategies that affect business performance on large state plantations. The plantation sector provides the largest contribution to gross domestic product and is an important part of national food distribution efforts. Research design, data, and methodology: This study used a literature review adapted from Pret and Logan (2019), which followed the guidelines of Tranfield et al. (2003), derived from the Scopus website with Q1/Q2 quartiles and inclusion/exclusion criteria published from 2012 to 2021. Results: Based on a systematic literature review approach, we constructed the strategic business conceptual model for large state plantations based on a combination of four causal and interrelationship variables that affect business performance, namely, industry attractiveness, unique capabilities, innovation management, and collaboration strategy. Conclusions: This research explains the relationship between industry attractiveness variables and unique capability as independent variables that can affect business performance through collaboration strategy and innovation management as intervening variables in the plantation sector, especially large state plantations, which have not been found in previous studies.

Purpose: This study examines the impact of inclusive policies and green transformation on regional development of mining areas. Research design, data and methodology: We designed and utilized a structured questionnaire to collect data from a population of 300 individuals. The questionnaire was disseminated through Google Forms and consisted of five questions for each research variable. A total of 210 respondents completed the questionnaire, yielding a response rate of 70%. The sample was diverse in terms of gender and educational level Of the 210 respondents, 113 were female (53.8%) and 97 were male (46.2%). In terms of educational background, the sample was composed as follows: 13 individuals with a Doctorate degree (6.2%), 56 with a Master's degree (26.7%), 97 with a Bachelor's degree (46.2%), 22 with a Diploma (10.5%), and 22 with a High School education (10.5%). Results: The research outcomes highlight the significant influence of inclusive policies on driving the Distribution of green economic transformation. Emphasizing the pivotal role of inclusive distribution strategies, especially within the context of mining areas, the study sheds light on their crucial contribution to fostering regional development. Conclusion: These findings hold valuable implications for policymakers, industry stakeholders, and academics promoting environmentally conscious economic transformations.

Purpose: With the rapid information distribution of sport-related SNS, sport industry has utilized SNS as technical solution to distribute sport and health-related information. The current study examined the effect of SNS information use for running-specific content on running engagement and psychological well-being. Research design, data and methodology: Data were collected via online survey of participants in marathon events of United States. Descriptive statistics and Chi-square test were conducted to compare demographics and psycho-behavioral outcomes among SNS information users and non-users for running-specific contents. Multivariate hierarchical regression was next employed to examine research hypotheses. Results: A mass-participant running event was used to test seven hypotheses related to the potential role of SNS for running content in promoting running engagement and life satisfaction. In general, findings revealed that use of SNS for running content along with frequency of use can perhaps facilitate running intensity and influence participation in running-related outdoor activities. Furthermore, while overall life satisfaction did not appear to be influenced by use of SNS for running content, there was a demonstrated influence on the individual satisfaction domains. Conclusions: The findings of current study suggest that sport SNS is information distribution media enhancing users' engagement and their six life satisfaction domains. Further implications were discussed.

Purpose: Using green supply chain management (GSCM), the current study focuses on the fashion design industry as a central player in promoting an eco-conscious consumption culture by creating awareness of the need to produce and consume eco-friendly fashion products instead of only capitalizing on the shifting consumer tastes, preferences, and expectations. Research design, data and methodology: This study selected a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist as a research methodology. The purpose is the detailed and disinterested evaluation of all the published information related to the topic of the research. Results: This study suggests brief solutions of the GSCM based on the five categories of sustainable fashion activities that contribute to the development of eco-friendly fashion designs and marketing strategies. This strategy employed by firms to promote sustainable production and consumption is a major factor in enhancing consumers' environmental awareness. Conclusions: The study delves into how brands in the fashion design industry provide a platform for collective action by investing in educational campaigns and transparent communication, collaborating with various stakeholders to maximize awareness of the need for eco-conscious consumption and the availability of green fashion products. Practitioners should consider developing a comprehensive framework to assess the feasibility of different awareness strategies and purchase stimulation approaches.

Purpose: This study analyzed the relationship between corporate capacity and management performance in the Korean distribution industry during the COVID-19 pandemic. Research design, data and methodology: The data for this study used the 2021 KOTRA GCL Test Data, and multiple regression analysis was performed using SPSS 26. As corporate competency, human capital and related capital of intellectual capital theory were utilized, and the global network level of social network theory was also utilized. As an additional analysis, corporate characteristics factors were used. Results: First, the level of global mindset of human capital acted as a positive factor in management performance, and the level of professional manpower did not achieve significant results. Second, related capital acted as a positive factor in corporate performance. Third, from the perspective of social network theory, the global network level of companies acted as a positive factor in management performance. Finally, the relationship between corporate characteristics and management performance was marginally significant. Conclusions: In order to improve the business performance of a company in a market shock such as the COVID-19 pandemic, it is required to strengthen the level of network construction with customers and increase the level of intellectual capital that a company has.

Purpose: This study is a quantitative study and analyzes the effect of evaluating the extreme and usefulness of product reviews on sales performance by using text mining techniques based on product review big data. We investigate whether the perceived helpfulness of product reviews serves as a mediating factor in the impact of product review extremity on sales performance. Research design, data and methodology: The analysis emphasizes customer interaction factors associated with both product review helpfulness and sales performance. Out of the 8.26 million Amazon product reviews in the book category collected by He & McAuley (2016), text mining using natural language processing methodology was performed on 300,000 product reviews, and the hypothesis was verified through hierarchical regression analysis. Results: The extremity of product reviews exhibited a negative impact on the evaluation of helpfulness. And the helpfulness played a mediating role between the extremity of product reviews and sales performance. Conclusion: Increased inclusion of extreme content in the product review's text correlates with a diminished evaluation of helpfulness. The evaluation of helpfulness exerts a negative mediating effect on sales performance. This study offers empirical insights for digital market distributors and sellers, contributing to the research field related to product reviews based on review ratings.