Amy J.C. Trappey , Charles V. Trappey , Chieh Hsi Chen , Dewanti Anggrahini
{"title":"Ontology-based patent analysis for bike-sharing services: Identifying competitive advantages of a product-service business","authors":"Amy J.C. Trappey , Charles V. Trappey , Chieh Hsi Chen , Dewanti Anggrahini","doi":"10.1016/j.apmrv.2024.09.005","DOIUrl":"10.1016/j.apmrv.2024.09.005","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":"29 4","pages":"Pages 384-396"},"PeriodicalIF":5.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143308267","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}
{"title":"Mapping metaverse industrial architecture using LDA and bibliometrics based on technology news framing","authors":"Ai-Che Chang, Xinwen Zhang","doi":"10.1016/j.apmrv.2024.09.001","DOIUrl":"10.1016/j.apmrv.2024.09.001","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":"29 4","pages":"Pages 369-383"},"PeriodicalIF":5.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143308265","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}
Richard Arhinful, Leviticus Mensah, Jerry Seth Owusu-Sarfo
{"title":"Board governance and ESG performance in Tokyo stock exchange-listed automobile companies: An empirical analysis","authors":"Richard Arhinful, Leviticus Mensah, Jerry Seth Owusu-Sarfo","doi":"10.1016/j.apmrv.2024.11.001","DOIUrl":"10.1016/j.apmrv.2024.11.001","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":"29 4","pages":"Pages 397-414"},"PeriodicalIF":5.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143354393","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}
{"title":"Current status analysis of 5G mobile communication services industry using business model canvas in South Korea","authors":"Hee-Seon Jang , Jaehyun Yeo","doi":"10.1016/j.apmrv.2024.11.002","DOIUrl":"10.1016/j.apmrv.2024.11.002","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":"29 4","pages":"Pages 462-476"},"PeriodicalIF":5.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143308578","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}
Ahmad Samed Al-Adwan , Rana Muhammad Sohail Jafar , Dan-Andrei Sitar-Tăut
{"title":"Breaking into the black box of consumers’ perceptions on metaverse commerce: An integrated model of UTAUT 2 and dual-factor theory","authors":"Ahmad Samed Al-Adwan , Rana Muhammad Sohail Jafar , Dan-Andrei Sitar-Tăut","doi":"10.1016/j.apmrv.2024.09.004","DOIUrl":"10.1016/j.apmrv.2024.09.004","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":"29 4","pages":"Pages 477-498"},"PeriodicalIF":5.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143308577","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}
Muniaty Aisyah , Mohammad Nur Rianto Al Arif , Yuke Rahmawati , Dwi Nuraini Ihsan
{"title":"How collaborative consumption effect customer satisfaction and the ride-hailing drivers' psychological well-being in Indonesia","authors":"Muniaty Aisyah , Mohammad Nur Rianto Al Arif , Yuke Rahmawati , Dwi Nuraini Ihsan","doi":"10.1016/j.apmrv.2024.09.003","DOIUrl":"10.1016/j.apmrv.2024.09.003","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":"29 4","pages":"Pages 441-450"},"PeriodicalIF":5.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143308576","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}
{"title":"Conceptualizing work-life integration: A review and research agenda","authors":"Pranjali Chauhan, Sumita Rai","doi":"10.1016/j.apmrv.2024.10.002","DOIUrl":"10.1016/j.apmrv.2024.10.002","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":"29 4","pages":"Pages 415-426"},"PeriodicalIF":5.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143308268","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}
{"title":"The effect of corporate discourses in brand awareness and legitimacy: The rhetorical analysis of an automobile brand","authors":"Selin Şahiniz , Ayfer Ustabaş , Mine Afacan Fındıklı","doi":"10.1016/j.apmrv.2024.08.001","DOIUrl":"10.1016/j.apmrv.2024.08.001","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":"29 4","pages":"Pages 427-440"},"PeriodicalIF":5.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143308574","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}
{"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":"29 3","pages":"Pages 292-305"},"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}