Asia Pacific Management Review最新文献

Using a smart contract for the floral supply chain 在花卉供应链中使用智能合约

IF 5.5

Asia Pacific Management Review Pub Date : 2024-09-01 DOI: 10.1016/j.apmrv.2023.12.004

{"title":"Using a smart contract for the floral supply chain","authors":"","doi":"10.1016/j.apmrv.2023.12.004","DOIUrl":"10.1016/j.apmrv.2023.12.004","url":null,"abstract":"<div><div>The floral supply chain is one of the most delicate logistics networks in existence, requiring intensive monitoring of temperature, humidity, and product conditions to ensure the quality of flowers. However, the traditional centralized supply chain involves exchanging information back and forth, and therefore wastes time, money, and resources. In addition, centralized data control without security verification exposes logistics information to the risk of hacking, information tampering, and counterfeiting.</div><div>Blockchain technology offers decentralization, immutability, and encryption security. Furthermore, application of Internet of Things (IoT) technology has made it easier to monitor goods and the distribution process. Combining the above two new technologies can effectively improve the transparency and traceability of the floral supply chain and make transactions more secure through the digital signature verification process. In this research, we propose a smart contract for the floral supply chain. Through contract compilation, the proposed contract defines the delivery process status, delivery specifications, and other conditions in the shipping process so that the status of the goods is updated on the blockchain, giving the supply chain higher traceability. This study also defines the process for and conditions of money transactions between buyers and sellers using such smart contracts, thereby automating the transaction, improving its efficiency, and saving on labor costs and paper waste. This research also compares the proposed smart contract to traditional transaction methods. The pros and cons are thoroughly discussed, offering significant benefit to decision makers.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1029313223001045/pdfft?md5=942f458061406a8d7523649a9d4b4a8f&pid=1-s2.0-S1029313223001045-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139397980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FinTech, economic growth, and COVID-19: International evidence 金融科技、经济增长和 COVID-19：国际证据

IF 5.5

Asia Pacific Management Review Pub Date : 2024-09-01 DOI: 10.1016/j.apmrv.2023.12.006

{"title":"FinTech, economic growth, and COVID-19: International evidence","authors":"","doi":"10.1016/j.apmrv.2023.12.006","DOIUrl":"10.1016/j.apmrv.2023.12.006","url":null,"abstract":"<div><div>The growth of financial institutions is typically considered a factor that contributes to economic expansion. Financial institutions’ use of financial technology (FinTech) has resulted in changes in the delivery of financial services, subsequently affecting economic growth. However, the pandemic disrupted the demand and supply of goods worldwide, which has had a detrimental impact on the economy. It is worth investigating whether the global economic slump created by the pandemic have a beneficial influence on the national economy because of the introduction of innovative technologies. Using 778 country-year observations from 193 countries between 2018 and 2021, this study examines and finds that the positive impact of FinTech on economic growth is more pronounced during the pandemic. Further analysis shows that this association holds only in countries with high Internet usage, suggesting that the incremental impact of FinTech on economic growth during the pandemic depends on the extent of local Internet usage. Overall, our findings suggest that FinTech plays an important role in reducing the severity of the pandemic’s subsequent economic impact.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1029313223001069/pdfft?md5=658eb191ec35256b593f8fd6b1d76acf&pid=1-s2.0-S1029313223001069-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139413797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating technical indicators, chip factors and stock news for enhanced stock price predictions: A multi-kernel approach 整合技术指标、筹码因素和股票新闻，提高股价预测能力：多核方法

IF 5.5

Asia Pacific Management Review Pub Date : 2024-09-01 DOI: 10.1016/j.apmrv.2023.10.001

{"title":"Integrating technical indicators, chip factors and stock news for enhanced stock price predictions: A multi-kernel approach","authors":"","doi":"10.1016/j.apmrv.2023.10.001","DOIUrl":"10.1016/j.apmrv.2023.10.001","url":null,"abstract":"<div><div>In the field of stock price forecasting, we are actively seeking to integrate various information to more accurately grasp market dynamics. Although historical stock prices and financial news have been widely used in previous studies, it is relatively rare to find research considering news-based, technical, and chip factors simultaneously and evaluating their combined effect. In this study, we innovatively propose a multi-kernel model that not only combines news-based, technical, and chip factor analysis but also utilizes market data provided by the Taiwan Stock Exchange, including institutional trading situations and stock price technical indicators. The aim is to further enhance the prediction accuracy of stock price dynamics. Based on the frequency of word occurrences, we design a new discriminant index to extract features highly correlated with stock prices from financial news. The empirical results show that our multi-kernel model significantly surpasses the single-kernel model in prediction accuracy. However, we also find that although financial news is somewhat correlated with stock price dynamics, information such as chip factors and stock price technical indicators contribute more significantly in our model. This further validates that our multi-kernel learning algorithm can effectively handle multifaceted data sources and give appropriate weights according to the importance of each data point, thereby enhancing the comprehensiveness of prediction. Through this research, we hope to bring new perspectives and inspirations to the field of stock price forecasting.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1029313223000787/pdfft?md5=fbcfa24125d4b8e438ce041622e63b6c&pid=1-s2.0-S1029313223000787-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136127794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Drivers of customer satisfaction with restaurants during COVID-19. A survey of young adults in Taiwan and Indonesia 新冠肺炎期间顾客对餐馆满意度的驱动因素。台湾与印尼青少年调查

IF 5.5

Asia Pacific Management Review Pub Date : 2024-09-01 DOI: 10.1016/j.apmrv.2023.08.001

引用次数: 0

Forecasting vault cash with an extreme value long short-term memory network 用极值长短期记忆网络预测金库现金

IF 5.5

Asia Pacific Management Review Pub Date : 2024-09-01 DOI: 10.1016/j.apmrv.2023.09.001

{"title":"Forecasting vault cash with an extreme value long short-term memory network","authors":"","doi":"10.1016/j.apmrv.2023.09.001","DOIUrl":"10.1016/j.apmrv.2023.09.001","url":null,"abstract":"<div><div>Effective cash management is key in banking operations and has implications for cost control, customer service, and risk management. As transactions become more diverse, manual forecasting methods have become inadequate for accurate vault cash forecasting, which involves extensive data analysis. To address this challenge, the banking industry has adopted FinTech tools based on big data and deep learning for various client services. These methods are generally accurate but perform poorly in cases with extreme events, for which data are scarce. In this study, we propose a time series prediction model with long short-term memory and an attention mechanism that effectively predicts the presence of extreme values. We applied extreme value theory to define the extreme value loss for extreme situations and use a sliding window to process time series data. The enhanced extreme value loss function in our model yields improved prediction accuracy for time series data.</div><div>We evaluated the proposed model against previous methods in evaluation experiments on data from three branches of a commercial bank in Taiwan, where the vault cash data of each exhibited extreme values. The proposed model was highly accurate: it had a lower mean absolute percentage error and higher trend accuracy than competing methods on a majority of time series, and it was also more accurate in predicting extreme values in time series data.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1029313223000763/pdfft?md5=47ebbca339341ce13d9369d21974db64&pid=1-s2.0-S1029313223000763-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134994370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corporate ESG performance and intellectual capital: International evidence 企业环境、社会和公司治理绩效与知识资本：国际证据

IF 5.5

Asia Pacific Management Review Pub Date : 2024-09-01 DOI: 10.1016/j.apmrv.2023.12.003

{"title":"Corporate ESG performance and intellectual capital: International evidence","authors":"","doi":"10.1016/j.apmrv.2023.12.003","DOIUrl":"10.1016/j.apmrv.2023.12.003","url":null,"abstract":"<div><div>This study aims to empirically investigate the relationship between a firm's overall (individual) ESG performance and intellectual capital based on data from globally publicly listed firms across 30 countries from 2000 to 2019. We also explore how the Altman Z-score (the total number of patents and trademarks at the national level) moderates the association between firm’ ESG performance and intellectual capital. We use the Panel FGLS (Feasible Generalized Least Squares) approach to examine whether firms with better ESG performance experience a boost in intellectual capital performance. We present two key findings: (1) ESG performance, with its three main pillars, has a significantly strong positive impact on intellectual capital. This suggests that firms should engage in ESG activities as part of their strategy and, to remain ahead of their competitors, must innovate in ways that prevent rivals from copying their business approach. (2) The greater the number of patents and trademarks at the national level and the higher the Altman Z-score, the more significantly positive is the relationship between ESG performance and intellectual capital. The findings of this study contribute to the scant literature on ESG performance and intellectual capital. Firms with strong ESG performance and outstanding achievements in sustainable development have a competitive advantage; therefore, information about firms' strategies for incorporating, generating, transferring and applying intellectual capital can provide stakeholders with a long-term view of the company's future.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1029313223001033/pdfft?md5=47d3f6474e3a015c871a87eed841831e&pid=1-s2.0-S1029313223001033-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139078489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A long short-term memory model for forecasting housing prices in Taiwan in the post-epidemic era through big data analytics 通过大数据分析预测台湾后疫情时期房价的长短期记忆模型

IF 5.5

Asia Pacific Management Review Pub Date : 2024-09-01 DOI: 10.1016/j.apmrv.2023.08.002

{"title":"A long short-term memory model for forecasting housing prices in Taiwan in the post-epidemic era through big data analytics","authors":"","doi":"10.1016/j.apmrv.2023.08.002","DOIUrl":"10.1016/j.apmrv.2023.08.002","url":null,"abstract":"<div><div>This study aims to analyse housing prices in Taiwan in the post-epidemic era, identify the crucial factors influencing them, and develop a suitable method for analysing and forecasting them. This study collects relevant data such as Taiwan's housing price index data from 2002 to 2020 to identify the crucial factors affecting Taiwan's housing prices; this is achieved by constructing a regression model, forecasting Taiwan's housing prices through a constructed long short-term memory (LSTM) model that employs big data analytics, and verifying the efficiency of the proposed models through <em>R-square</em> and root mean square error values. The results indicate that the top 10 factors affecting Taiwan's housing prices are mostly related to mortgage interest rates, suggesting that in Taiwan, the effect on housing prices in the post-epidemic era may be non-significant. This study collects data on Taiwan's housing price for the period from the first quarter of 2002 to the fourth quarter of 2020 to construct an LSTM for forecasting Taiwan's housing prices. The results indicate that the proposed LSTM exhibits good fitness, indicating that the model is suitable for analysing and forecasting housing prices. Given that analysing and forecasting quantity is also crucial in housing market analyses and that this study focuses only on predicting housing prices, future research should explore the simultaneous prediction and analysis of both price and quantity.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1029313223000623/pdfft?md5=54444bb9bfb81af8514a7f252d65bdf7&pid=1-s2.0-S1029313223000623-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42555008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Signals that sharing economy service providers should send out: The case of codementor 共享经济服务提供商应发出的信号：codementor案例

IF 5.5

Asia Pacific Management Review Pub Date : 2024-09-01 DOI: 10.1016/j.apmrv.2023.12.002

{"title":"Signals that sharing economy service providers should send out: The case of codementor","authors":"","doi":"10.1016/j.apmrv.2023.12.002","DOIUrl":"10.1016/j.apmrv.2023.12.002","url":null,"abstract":"<div><div>A sharing economy is an economy that enables individuals to share their assets with or provide services to those in need through online platforms. Information asymmetry prevents consumers from effectively choosing the best service provider for their needs. Therefore, service providers should offer high-quality signals to address this problem. Unlike other studies, which have focused on platforms for sharing tangible assets (e.g., houses), in this study, we focused on platforms for sharing intangible assets (e.g., knowledge). Specifically, we adopted signaling theory to develop a research model for determining the internal and external signals that service providers should provide on their platforms to attract customers. Public data were collected from the Codementor platform by using Python web scraping. After rigorous data processing, the data obtained from 612 service providers were analyzed to identify key signals. Four crucial internal signals were identified: availability of follower information, availability of reviews, free trial, and service cost. In addition, two crucial external signals were identified: number of projects accomplished and endorsements from other websites related to mentor performance. Overall, our findings expand the application of signaling theory to intangible asset transactions and enable service providers to identify the essential signals that they should provide on their sharing economy platforms to increase the number of consumers interested in their services.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1029313223001021/pdfft?md5=f3ed075b5aacd35d6b6fdf5e18974b9c&pid=1-s2.0-S1029313223001021-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139054496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Beneath the Surface: Uncovering the relationship between ego states, organizational commitment, and productivity among Indian bankers 表象之下揭示印度银行家的自我状态、组织承诺和生产力之间的关系

IF 5.5

Asia Pacific Management Review Pub Date : 2024-06-01 DOI: 10.1016/j.apmrv.2023.12.001

Habeeb Ur Rahiman , Rashmi Kodikal

{"title":"Beneath the Surface: Uncovering the relationship between ego states, organizational commitment, and productivity among Indian bankers","authors":"Habeeb Ur Rahiman , Rashmi Kodikal","doi":"10.1016/j.apmrv.2023.12.001","DOIUrl":"10.1016/j.apmrv.2023.12.001","url":null,"abstract":"<div><p>Banking is a dominant player among the service providers in India. Interpersonal skills play a vital role in the banking industry, as intangible variables are influenced by communication. Through Transactional Analysis (TA), bankers can render better services to their customers by ensuring that the communication occurs at an acceptable level of ego state. This manuscript sets out to uncover the role of TA in determining the commitment and productivity of bankers. When we delve deeper into the workings of the banks, it is understandable that it is not just monetary transactions that are related to banking employees but also an interweaved set of compeller transactions between people that form the edifice of banking transactions. Therefore, effective interpersonal communication is essential for bank employees. Transactional Style Inventory tools were applied to measure the level of ego states, while structural equation modeling was used to explore the relationship between variables. Results show that respondents exhibit a higher level of adapted child ego and a lower level of creative child ego states. Moreover, nurturing parent, adult ego, and adapted child ego states significantly influence employee commitment and productivity. Based on the findings, the banks were recommended to incorporate developing a recruitment policy that checks the ego states of employees before placing them on the staffing panel of the workplace. Moreover, the research findings also help in using the ego states of employees to design human resource policies that can lead to better interpersonal communication that enhances the productivity of the employees.</p></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1029313223000921/pdfft?md5=43efad5061a7fdbfeeea3d0c03f51771&pid=1-s2.0-S1029313223000921-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138581030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Thai intrapreneur – A mixed methods study exploring intrapreneurship in Thailand 泰国的企业内部创业者--探索泰国企业内部创业精神的混合方法研究

IF 5.5

Asia Pacific Management Review Pub Date : 2024-06-01 DOI: 10.1016/j.apmrv.2024.05.002

Manjiri Kunte

{"title":"The Thai intrapreneur – A mixed methods study exploring intrapreneurship in Thailand","authors":"Manjiri Kunte","doi":"10.1016/j.apmrv.2024.05.002","DOIUrl":"10.1016/j.apmrv.2024.05.002","url":null,"abstract":"<div><h3>Purpose</h3><p>This study explores the concept and antecedents of Intrapreneurship among Thai employees in Bangkok, Thailand.</p></div><div><h3>Study design/methodology/approach</h3><p>The study uses an exploratory sequential mixed methodology. The data were collected from twenty-two in-depth interviews with Thai entrepreneurs and employees, followed by a survey of 648 salaried employees from Bangkok.</p></div><div><h3>Findings</h3><p>The findings from the interviews suggested that a sense of self-belief and ownership, collaboration in a team, the immediate supervisor, certain characteristics of the job and organization, and a culture of innovation in the organization affected intrapreneurship. The quantitative survey findings confirmed that self-efficacy, entrepreneurial orientation, team cohesion, and organizational support were significantly related to intrapreneurship in Thai companies. Additionally, a split data analysis revealed that the factors affecting intrapreneurship were distinct for the male and female cohorts, whereby self-efficacy was significant in the male data, whereas entrepreneurial orientation and team cohesion were significantly related to intrapreneurship in the female data.</p></div><div><h3>Practical implications</h3><p>The study proposes the creation of small teams, introduction of role models and internships, and creation of a platform for exchange of ideas as recommendations to encourage intrapreneurship. The study also notes that these initiatives might affect male and female intrapreneurs distinctly.</p></div><div><h3>Originality/value</h3><p>This is the first notable mixed methods study on intrapreneurship in Thailand. The findings of this study will, therefore, help managers to encourage employees towards intrapreneurial behavior and pave the way for future research on intrapreneurship in Thailand.</p></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1029313224000058/pdfft?md5=0176c01d586f655fd09490b183363783&pid=1-s2.0-S1029313224000058-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141139350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0