Asia Pacific Management Review最新文献_第7页

Ontology-based patent analysis for bike-sharing services: Identifying competitive advantages of a product-service business 基于本体的共享单车服务专利分析：识别产品服务业务的竞争优势

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Asia Pacific Management Review

Pub Date : 2024-12-01 DOI: 10.1016/j.apmrv.2024.09.005

Amy J.C. Trappey , Charles V. Trappey , Chieh Hsi Chen , Dewanti Anggrahini

In modern cities, the desire to reduce carbon emissions and minimize energy consumption has led to the growth of bike-sharing services as a community approach to transportation. Key technologies are being developed and integrated into advanced bike-sharing systems. The technologies include hardware, software, and business models that support the services. This study integrates knowledge ontology, keyword extraction, K-means clustering, and a technology-function matrix to analyze the large intellectual property combinations of bike-sharing systems. The first stage of research provides a macro-overview of the current state of bike-sharing technologies. The second stage uses service blueprints to discover practical usages of technology patterns, focusing on the case of YouBike service in Taiwan with the implementation of bicycle locks and bike parking stations. A comprehensive literature review and the collection and analysis of patents forms a domain ontology that describes the interdisciplinary characteristics of bike-sharing depicted by a hierarchical schema. This study describes significant trends and future potential of bike-sharing derived from technology mining perspectives. The macro aspect of patent analysis demonstrates global invention trends, domain knowledge, the major keywords, IPC technology categories, and the innovation status of key technical themes. The highlights of critical R&D hotspots and cold spots are highlighted in the technology function matrix. The micro aspect of patent analysis reveals the success of patent applications in the bike-sharing industry. The results study uses YouBike patent technology as a case example to demonstrate the new perspectives for innovative technologies in the bike-sharing domain.

在现代城市中，减少碳排放和最小化能源消耗的愿望导致了自行车共享服务作为一种社区交通方式的增长。正在开发关键技术，并将其集成到先进的共享单车系统中。这些技术包括支持服务的硬件、软件和业务模型。本研究将知识本体、关键词提取、K-means聚类和技术-功能矩阵相结合，对共享单车系统的大知识产权组合进行分析。第一阶段的研究提供了共享单车技术现状的宏观概述。第二阶段使用服务蓝图来发现技术模式的实际用途，重点以优拜单车在台湾实施自行车锁和自行泊车站的服务为例。全面的文献综述和专利的收集和分析形成了一个领域本体，该本体描述了由层次图式描述的共享单车的跨学科特征。本研究从技术挖掘的角度描述了共享单车的重要趋势和未来潜力。专利分析的宏观方面展示了全球发明趋势、领域知识、主要关键词、IPC技术类别以及关键技术主题的创新状况。在技术功能矩阵中突出了关键研发热点和冷点的亮点。微观层面的专利分析揭示了共享单车行业专利申请的成功。结果研究以优拜单车专利技术为例，展示了共享单车领域创新技术的新视角。

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引用次数: 0

Mapping metaverse industrial architecture using LDA and bibliometrics based on technology news framing 使用LDA和基于技术新闻框架的文献计量学映射元宇宙工业架构

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Asia Pacific Management Review

Pub Date : 2024-12-01 DOI: 10.1016/j.apmrv.2024.09.001

Ai-Che Chang, Xinwen Zhang

Enabling the public to grasp the state and trends of emerging technologies facilitates technology adoption, socioeconomic investment, and business growth. Science journalism is crucial in connecting the scientific community with the public. This study focuses on the metaverse due to its rapid expansion. To validate knowledge extraction, we analyze relevant metaverse news from TechCrunch.com, covering 2020 to 2023, to build the domain knowledge schema. This study introduces a novel approach that combines Latent Dirichlet Allocation (LDA) topic modeling with bibliometrics as a computational intelligent method to discover topics and construct knowledge based on technology news framing. LDA is used to identify the topics in metaverse news, while a bibliometrics method, i.e., co-word networks analysis, clarifies term association strength and visualizes the findings. The study outlines the seven key elements highlighted in technology journalism, which shape public perception and expectations of new technologies. These elements offer insights into the factors influencing the development, diffusion, and adoption of new technologies. The extracted representative terms and enterprises from eight topics help map the knowledge architecture diagram for the domain. The research contributes to helping stakeholders systematically understand metaverse technology topics and demonstrate collaborative partnerships between enterprises.

使公众能够掌握新兴技术的现状和趋势，有助于技术采用、社会经济投资和业务增长。科学新闻在将科学界与公众联系起来方面至关重要。由于元宇宙的快速膨胀，本研究的重点是元宇宙。为了验证知识提取的有效性，我们分析了TechCrunch.com上涵盖2020年至2023年的相关元宇宙新闻，构建了领域知识模式。本文提出了一种新的方法，将潜在狄利克雷分配（Latent Dirichlet Allocation， LDA）主题建模与文献计量学相结合，作为一种基于技术新闻框架的主题发现和知识构建的计算智能方法。LDA用于识别元宇宙新闻中的主题，而文献计量学方法，即共词网络分析，澄清术语关联强度并将结果可视化。该研究概述了科技新闻中突出的七个关键因素，这些因素影响了公众对新技术的看法和期望。这些要素提供了对影响新技术发展、扩散和采用的因素的见解。从八个主题中提取的代表性术语和企业有助于绘制领域的知识体系结构图。该研究有助于帮助利益相关者系统地理解元宇宙技术主题，并展示企业之间的协作伙伴关系。

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引用次数: 0

Board governance and ESG performance in Tokyo stock exchange-listed automobile companies: An empirical analysis 东京证券交易所上市汽车公司董事会治理与ESG绩效：实证分析

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Asia Pacific Management Review

Pub Date : 2024-12-01 DOI: 10.1016/j.apmrv.2024.11.001

Richard Arhinful, Leviticus Mensah, Jerry Seth Owusu-Sarfo

The study investigated the impact of board characteristics on the ESG (Environmental, Social, and Governance) performance of automobile companies listed on the Tokyo Stock Exchange. It aimed to discern how corporate governance affects these firms, focusing on both medium and larger-sized companies. The central research question was: How do board characteristics impact the ESG performance of automobile companies? Data from Thomson Reuters Eikon for 32 automobile companies, spanning 2005 to 2021, were analyzed, with the companies categorized into medium (15) and larger-sized (17) classifications. The study employed random and fixed effect models and utilized Hausman specification tests to validate the consistency and efficiency of the fixed effect model against the random effect model. To address endogeneity, a two-step robust GMM methodology was applied. Results revealed intriguing findings: board gender diversity and meetings had a negative and insignificant impact on ESG performance, while non-executive directors had a detrimental and significant effect. Conversely, board size, educational background, CEO dual roles, and independent board members positively and significantly influenced ESG performance in these automobile companies. Given the significant impact identified, it is recommended to reconsider the composition of non-executive directors. A more balanced approach could mitigate the observed detrimental effect on ESG performance.

本研究考察了董事会特征对东京证券交易所上市汽车公司ESG（环境、社会和治理）绩效的影响。它的目的是辨别公司治理如何影响这些公司，重点关注中型和大型公司。研究的核心问题是：董事会特征如何影响汽车公司的ESG绩效？汤森路透Eikon对32家汽车公司2005年至2021年的数据进行了分析，将这些公司分为中型（15家）和大型（17家）两类。本研究采用随机效应模型和固定效应模型，并利用Hausman规格检验验证固定效应模型与随机效应模型的一致性和有效性。为了解决内生性问题，采用了两步稳健的GMM方法。结果显示了有趣的发现：董事会性别多样性和会议对ESG绩效有负面且不显著的影响，而非执行董事则有不利且显著的影响。相反，董事会规模、教育背景、CEO双重角色和独立董事会成员对这些汽车公司的ESG绩效有显著的正向影响。鉴于已确定的重大影响，建议重新考虑非执行董事的组成。更为平衡的方法可以减轻已观察到的对ESG绩效的不利影响。

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引用次数: 0

Current status analysis of 5G mobile communication services industry using business model canvas in South Korea 韩国5G移动通信服务产业利用商业模式画布的现状分析

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Asia Pacific Management Review

Pub Date : 2024-12-01 DOI: 10.1016/j.apmrv.2024.11.002

Hee-Seon Jang , Jaehyun Yeo

Recently, faced with stagnating subscriber growth, operators of mobile communication services worldwide are actively seeking to revitalize the convergence industry through partnerships with other sectors. South Korea—which launched the world's first 5G service in 2019—had 32 million 5G subscribers by 2023. However, due to issues such as poor service quality, the lack of compelling services, and inadequate network infrastructure relative to initial projections, subscriber growth has been slower than expected. In this paper, we analyze the deployment of 5G and its business models in vital fields like smart factories and digital healthcare, which are expected to play crucial roles in propelling the industry forward. The business model canvas (BMC) framework is employed to identify essential factors for industry revitalization, major challenges, and future strategies. The analysis reveals that the provision of ultra-broadband and low-latency services has been hindered by delays in deploying services at 28 GHz, crucial for advancing the convergence industry. Enhancing the use of the 28 GHz wireless network would enable critical services for smart factories and digital healthcare, such as mobile edge computing, machine vision, telemedicine, and AI-driven medical applications. Furthermore, it is determined that strategies for revitalization at the government level need urgent implementation, contrasting with the current, less effective sandbox-level strategies. The empirical findings of this study allow for an assessment of why 5G subscriber growth lags behind that of 4G, and assist in the formulation of effective policies. Additionally, this data can serve as a foundation for planning strategies to stimulate the convergence industry using future B5G and 6G networks.

最近，由于用户增长停滞不前，全球移动通信运营商正积极寻求通过与其他部门的合作来振兴融合产业。韩国在2019年推出了全球首个5G服务，到2023年拥有3200万5G用户。然而，由于服务质量差、缺乏引人注目的服务以及相对于最初预测的网络基础设施不足等问题，用户增长速度低于预期。在本文中，我们分析了5G及其商业模式在智能工厂和数字医疗等重要领域的部署，预计这些领域将在推动行业发展方面发挥关键作用。采用业务模型画布（BMC）框架来确定行业振兴的基本因素、主要挑战和未来战略。分析显示，超宽带和低延迟服务的提供受到28ghz服务部署延迟的阻碍，而28ghz对推进融合行业至关重要。加强28 GHz无线网络的使用将为智能工厂和数字医疗保健提供关键服务，如移动边缘计算、机器视觉、远程医疗和人工智能驱动的医疗应用。此外，与目前效率较低的沙盒级战略相比，确定政府层面的振兴战略需要紧急实施。本研究的实证结果可以评估5G用户增长落后于4G的原因，并有助于制定有效的政策。此外，这些数据可以作为规划战略的基础，以刺激使用未来B5G和6G网络的融合行业。

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引用次数: 0

Breaking into the black box of consumers’ perceptions on metaverse commerce: An integrated model of UTAUT 2 and dual-factor theory 打破消费者对虚拟商务认知的黑箱：UTAUT 2与双因素理论的整合模型

IF 5.5 Q1 MANAGEMENT

Asia Pacific Management Review

Pub Date : 2024-12-01 DOI: 10.1016/j.apmrv.2024.09.004

Ahmad Samed Al-Adwan , Rana Muhammad Sohail Jafar , Dan-Andrei Sitar-Tăut

The advent of the metaverse has unveiled new promises for the retailing industry, yet little empirical research has explored the factors influencing consumer adoption intention in this context. This study aims to fill this gap by employing an integrated model of UTAUT 2 - “The Unified Theory of Acceptance and Use of Technology 2”, and Dual-factor Theory to investigate both barriers and enablers in metaverse commerce adoption. Using a sample size of 567 respondents, the data analysis method employed in this study is Structural Equation Modeling (SEM) with Partial Least Squares (PLS). The results reveal the driving factors affecting consumer adoption intention in metaverse commerce. The study identifies perceived technological, regulatory, and cyber risks as significant barriers to consumer adoption intention in metaverse commerce. Conversely, the findings highlight the importance of performance and effort expectancy, perceived herd behaviour, hedonic motivation, and consumer innovativeness as key enablers driving consumer adoption intention in metaverse commerce. Interestingly, subjective norms were found to have an insignificant effect in this context. This research contributes to understanding consumer behaviour in the emerging field of metaverse commerce and provides valuable insights for practitioners and policymakers. The identified barriers and enablers can guide strategic decision-making, allowing businesses to address consumer concerns and capitalize on the factors that drive adoption intention in this novel environment. Future research avenues could explore additional factors and delve deeper into the dynamics of consumer behaviour within the metaverse.

虚拟世界的出现为零售业带来了新的希望，但很少有实证研究探讨在这种情况下影响消费者采用意愿的因素。本研究旨在通过采用UTAUT 2的集成模型——“技术接受和使用的统一理论2”，以及双因素理论来研究虚拟商业采用的障碍和推动因素，从而填补这一空白。本研究以567名受访者为样本，采用偏最小二乘结构方程模型（SEM）进行数据分析。研究结果揭示了影响虚拟商务中消费者采用意愿的驱动因素。该研究将可感知的技术、监管和网络风险确定为消费者在虚拟商务中采用意愿的重大障碍。相反，研究结果强调了绩效和努力预期、感知到的从众行为、享乐动机和消费者创新作为推动消费者在虚拟商务中采用意愿的关键因素的重要性。有趣的是，主观规范在这种情况下的影响并不显著。本研究有助于理解新兴的虚拟商务领域的消费者行为，并为从业者和政策制定者提供有价值的见解。确定的障碍和推动因素可以指导战略决策，允许企业解决消费者关注的问题，并利用在这种新环境中驱动采用意图的因素。未来的研究途径可以探索其他因素，并深入研究虚拟世界中消费者行为的动态。

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引用次数: 0

How collaborative consumption effect customer satisfaction and the ride-hailing drivers' psychological well-being in Indonesia 印尼协同消费如何影响顾客满意度和网约车司机的心理健康

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Asia Pacific Management Review

Pub Date : 2024-12-01 DOI: 10.1016/j.apmrv.2024.09.003

Muniaty Aisyah , Mohammad Nur Rianto Al Arif , Yuke Rahmawati , Dwi Nuraini Ihsan

Most governments imposed partial lockdowns during the Covid-19 pandemic, resulting in business shutdowns and employee layoffs, which caused economic difficulties, health issues, and mental illness. Many people in Indonesia thus became ride-hailing drivers to survive. This study uses Gojek's case to explore the effects of the collaborative consumption of ride-hailing services on customer satisfaction and drivers' psychological well-being during Covid-19. Using purposive sampling, 409 samples were analysed to assess drivers' motives, activities, resources and capabilities, customer ratings, and psychological conditions. Partial least squares analysis was used to analyse the direct and indirect effects among variables. This study found that motives, activities, and resources and capabilities directly affect drivers' psychological well-being, but only drivers' activities affect customer satisfaction. Customer satisfaction does not affect drivers' psychological well-being and is not an intervening variable for indirect effects. This study provides recommendations for how ride-hailing companies can ensure customer satisfaction and drivers' psychological well-being.

在新冠肺炎大流行期间，大多数政府都实施了部分封锁，导致企业关闭和员工裁员，从而引发了经济困难、健康问题和精神疾病。因此，许多印尼人成为网约车司机以求生存。本研究利用Gojek的案例探讨了Covid-19期间网约车服务的协同消费对客户满意度和司机心理健康的影响。使用有目的的抽样，409个样本进行分析，以评估司机的动机、活动、资源和能力、客户评级和心理状况。采用偏最小二乘法分析变量间的直接和间接影响。本研究发现动机、活动、资源和能力直接影响司机的心理健康，但只有司机的活动影响顾客满意度。顾客满意度不影响司机心理健康，也不是间接影响的干预变量。本研究为网约车公司如何确保客户满意度和司机心理健康提供了建议。

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引用次数: 0

Conceptualizing work-life integration: A review and research agenda 概念化工作-生活整合：回顾与研究议程

IF 5.5 Q1 MANAGEMENT

Asia Pacific Management Review

Pub Date : 2024-12-01 DOI: 10.1016/j.apmrv.2024.10.002

Pranjali Chauhan, Sumita Rai

The COVID-19 pandemic and global teams have significantly contributed to the rise of virtual teams and digital workspaces requiring a fundamental shift in viewing work and life as an integrated construct. While a vast majority of literature exists on work-life it is fragmented by sub-constructs like work-family conflict, family-to-work conflict, work-home interference, etc. The current paper looks at work-life integration as a harmonious amalgamation of an individual's personal and professional demands beyond just work and family commitments. The paper attempts to synthesise this literature across 116 articles and propose a comprehensive, future-relevant model of work-life integration that will guide future researchers and practitioners alike. The paper expands the existing academic knowledge by proposing an integrated model of work-life relationships including 5 key aspects of individual and self, work and career, home and family, community and connecting, and finally health and wellbeing. The recommendations from the paper can also better equip practitioners to manage work-life integration in virtual or hybrid workplaces and help HR practitioners design policy interventions for the same.

2019冠状病毒病大流行和全球团队大大促进了虚拟团队和数字工作空间的兴起，需要从根本上转变对工作和生活的看法。虽然绝大多数关于工作-生活的文献都存在，但它们被工作-家庭冲突、家庭-工作冲突、工作-家庭干扰等次级结构所分割。目前的论文将工作与生活的融合视为个人个人和职业需求的和谐融合，而不仅仅是工作和家庭承诺。本文试图在116篇文章中综合这些文献，并提出一个全面的、与未来相关的工作生活整合模型，以指导未来的研究人员和从业者。本文扩展了现有的学术知识，提出了一个工作与生活关系的综合模型，包括个人与自我，工作与职业，家庭与家庭，社区与联系，最后是健康与幸福五个关键方面。本文的建议还可以帮助从业者更好地管理虚拟或混合工作场所的工作与生活整合，并帮助人力资源从业者设计相应的政策干预措施。

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引用次数: 0

The effect of corporate discourses in brand awareness and legitimacy: The rhetorical analysis of an automobile brand 企业话语对品牌认知度和合法性的影响：对某汽车品牌的修辞分析

IF 5.5 Q1 MANAGEMENT

Asia Pacific Management Review

Pub Date : 2024-12-01 DOI: 10.1016/j.apmrv.2024.08.001

Selin Şahiniz , Ayfer Ustabaş , Mine Afacan Fındıklı

This study seeks to reveal the corporate discourses used by a newly-introduced brand to ensure brand awareness and legitimacy from its initial launch until its eventual departure from the market. The study examines the rhetoric used in communication in order to ensure brand awareness and legitimacy over the course of 10 years (2009–2019). Press releases served by the relevant brand were subjected to qualitative analysis through discourse strategies and legitimacy categories. The analysis found that the brand relied more heavily on discourse strategies that emphasized “validity” over “propriety.” Moreover, among the discourses on validity, those emphasizing that “a development or an entity is inevitable and natural” were used more heavily. Among the discourse strategies on conformity, on the other hand, discourses directing “emotions” and “the moral values of the focal entity,” and emphasizing “the success of a specific entity” were more dominant. According to different legitimacy types, the majority of the discourses were pragmatic and normative-based.

本研究旨在揭示一个新推出的品牌所使用的企业话语，以确保品牌的知名度和合法性，从最初的推出，直到最终离开市场。该研究调查了在10年（2009-2019年）的时间里，为了确保品牌知名度和合法性，在沟通中使用的修辞。通过话语策略和合法性分类对相关品牌服务的新闻稿进行定性分析。分析发现，该品牌更多地依赖于强调“有效性”而不是“得体”的话语策略。而且，在关于有效性的论述中，强调“一种发展或一个实体是不可避免的、自然的”的论述被使用得更多。另一方面，在从众话语策略中，引导“情感”和“焦点实体的道德价值”以及强调“特定实体的成功”的话语占主导地位。根据不同的合法性类型，大多数话语都是以语用性和规范性为基础的。

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引用次数: 0

Exploring the research development trajectory and trends of green finance 探索绿色金融的研究发展轨迹和趋势

IF 5.5 Q1 MANAGEMENT

Asia Pacific Management Review

Pub Date : 2024-11-12 DOI: 10.1016/j.apmrv.2024.10.001

Pei-Hua Tung , Yu-Hsuan Chiu , Chen-Hao Huang

Green finance refers to a financial action of balancing ecological protection and economic growth simultaneously with the goal of mitigating climate change. Given the rapid development of green finance, many related concepts have also emerged, such as sustainable finance, carbon finance, and environmental finance, but the boundaries between them remain blurred, potentially limiting the development of green finance. To foster green finance development, this research adopts the bibliometric method of main path analysis (MPA) to examine the research development trajectory from 3712 green finance-related papers. Based on the findings, this study categorizes the knowledge trajectory of green finance into three phases and seven recent hot sub-fields. It also proposes future research directions, including government information disclosure, financial institutions’ initiatives, and public engagement promotion, in order to provide a sustainable approach to facilitate green finance development.

绿色金融是指以减缓气候变化为目标，平衡生态保护和经济增长的金融行为。在绿色金融快速发展的同时，也出现了可持续金融、碳金融、环境金融等相关概念，但这些概念之间的界限并不清晰，有可能限制绿色金融的发展。为了促进绿色金融的发展，本研究采用文献计量学的主路径分析（MPA）方法，对3712篇绿色金融相关论文的研究发展轨迹进行了检验。在此基础上，本文将绿色金融的知识轨迹划分为三个阶段和七个近期热点子领域。并提出了未来的研究方向，包括政府信息披露、金融机构主动行动、公众参与促进等，以期为绿色金融的发展提供可持续的途径。

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 Q1 MANAGEMENT

Asia Pacific Management Review

Pub Date : 2024-09-01 DOI: 10.1016/j.apmrv.2023.10.001

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.

在股价预测领域，我们正积极寻求整合各种信息，以更准确地把握市场动态。虽然历史股价和财经新闻已被广泛应用于以往的研究中，但同时考虑新闻因素、技术因素和筹码因素并评估其综合效应的研究却相对较少。在本研究中，我们创新性地提出了一个多核模型，该模型不仅结合了新闻因素、技术因素和筹码因素分析，还利用了台湾证券交易所提供的市场数据，包括机构交易情况和股价技术指标。目的是进一步提高股价动态预测的准确性。基于词的出现频率，我们设计了一种新的判别指标，从财经新闻中提取与股价高度相关的特征。实证结果表明，我们的多核模型在预测准确性上明显优于单核模型。不过，我们也发现，虽然财经新闻与股价动态有一定的相关性，但筹码因素和股价技术指标等信息对我们的模型贡献更大。这进一步验证了我们的多核学习算法可以有效地处理多方面的数据源，并根据每个数据点的重要性给予适当的权重，从而提高预测的全面性。通过这项研究，我们希望能为股价预测领域带来新的视角和启发。

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引用次数: 0