A Supply-Lock Competitive Market for Investable Products

Wang, Yongbo; Lu, Jin-Ray

doi:10.18488/journal.107/2016.4.4/107.4.127.133

Cited by 17 publications

(13 citation statements)

References 27 publications

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“…Cockburn, Henderson, and Stern [9] reported further that China was likely to be the largest beneficiary as it dominates the AI market in Asia-Pacific by as high as 70 percent. These findings concur with those that were established by Cohen [10], who held AI-enabled automated transportation responsible for this increase; or by De Backer, DeStefano, Menon, and Suh [11] who also confirmed that China was likely to embrace fleet-wide traffic flow through AI applications, hence elevating congestion levels [1,[12][13][14][15][16][17][18].…”

Section: Literature Reviewsupporting

confidence: 88%

Economic Impact of Artificial Intelligence: New Look for the Macroeconomic Assessment in Asia-Pacific Region

Haseeb¹,

Sasmoko²,

Mihardjo³

et al. 2019

IJCIS

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To determine the impact of artificial intelligence (AI) on the selected economies in the Asia-Pacific region. Methods: This secondary research collected data from macroeconomic and AI-specific data sets. The sources of data from which insights were gained included digital technology sectors and corporations and their functions. The focus was on the need to assess the capability of AI on business operations The macroeconomic data was collected from data resources of international organizations' including the World Economic Forum, the Organization for Economic Cooperation and Development (OECD), the World Intellectual Property Organization (WIPO), and the International Telecommunication Union (ITU). In addition, this study has considered 19 economic indicators to analyze the economic outcome of AI in selected economies of Asia-Pacific. Results: From the results, the period between 2014 and 2016 witnessed China leading with over 25,000 citable documents on the AI topic. Regarding institutions that were observed to publish over 500 times on the AI topic, the countries in the ascending order include China (600), Hong Kong (1,100), and Singapore (2,000). As such, this study established that Asia-Pacific economies such as Hong Kong and Singapore though have smaller populations, but the majority of their higher education institutions have made a significant contribution to AI research; with the small economies also having a relatively higher number of computer scientists among the top 1,000 individuals. Additionally, through empirically analyses, during 1998-2016 with annual observations, it is found that various economic outcomes of AI were presented in 8 economies of targeted region. Limitations: At first, the future outlook of AI is just discussed in conceptual meaning while empirical context still needs to be examined in upcoming studies. At second, covering the overall South Asian region provides better findings with more generalization which is missing in current research. At third, other dimensions of AI and economy like implication of AI impact index and its relationship with macroeconomic variables is also missing in current research which could be reconsidered in coming studies. Conclusion: It is evident that AI exhibits the potential to be the main driver of Asia-Pacific's economic growth. Relative to the net and gross effect of AI on labor markets and the gross domestic product (GDP) of the top Asia-Pacific economies demonstrate that by 2030, AI might yield a 16-percent increase in output, translating into an estimated amount of $13 trillion. Overall, it is concluded that Asia-Pacific, when compared to developed regions such as North America, is lagging but the availability of a large pool of user data implies that the region can move ahead-given better resource and talent allocation.

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Section: Literature Reviewsupporting

confidence: 88%

Economic Impact of Artificial Intelligence: New Look for the Macroeconomic Assessment in Asia-Pacific Region

Haseeb¹,

Sasmoko²,

Mihardjo³

et al. 2019

IJCIS

View full text Add to dashboard Cite

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“…These systems enable users to realize the status of the performance in the supply chain such as strengths, weaknesses, and the levels of current performance in order to allow companies to make informed decisions towards the opportunities and threats. Organizations are able to take appropriate actions at the right time (Christopher, 2011) to effectively improve their performance (Nasiri et al, 2010;Solomon et al, 2014;Castorena et al, 2014;Dim & Ezeabasili, 2015;Angbre, 2016;Wang & Lu, 2016;Purnama, 2014;Nazal, 2017;Tanoos, 2017;Maldonado-Guzman, et al, 2018;Taqi et al, 2018).…”

Section: Supply Chain Operational Performancementioning

confidence: 99%

The mediating role of technology and logistic integration in the relationship between supply chain capability and supply chain operational performance

Naway¹,

Rahmat²

2019

10.5267/j.uscm

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The purpose of this paper is to explore the link between supply chain capability and supply chain operational performance. In addition, the current study investigates the mediating role of technology integration and logistic integration between supply chain capability and supply chain operational performance. The firms in Tin industry of Indonesia are chosen as the sample of the study. To achieve the objectives of the current study, structural equation modeling is used using smart PLS. Data is collected through mail and telephonic survey. The responses are collected through the postal and electronic mail, questionnaire survey. According to the direct results, it is shown that all hypotheses were meaningful (α = 5%). The mediation effect of technology integration and logistic integration in the relationship between Supply Chain Capability and Supply Chain Operational Performance (SCOP) was examined. The results of mediation show that for logistic integration mediation hypothesis, the results was meaningful (α = 5%), whereas for the technology integration the results was not significant. The results of the study are useful for policymakers, practitioners, operation managers in understanding the link between human resource management and operational management. ensee Growing Science, Canada by the authors; lic 9 © 201

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“…Generally, supply chain digitalization comes under electronic supply chain (e-supply chain) (Poirier & Bauer, 2000). Digitalization facilitates supply chain activities of business (Castorena et al, 2014;Dim & Ezeabasili, 2015;Wang & Lu, 2016;Vendrell-Herrero et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

The influence of digital customer experience and electronic word of mouth on brand image and supply chain sustainable performance

Mihardjo¹,

Sasmoko²,

Alamsjah³

et al. 2019

10.5267/j.uscm

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Digitalization plays a crucial role on current competitive market and it is associated with the utilization of digital technologies to change business model and to deliver new value-producing opportunities to the current business environment in an aim to move towards a digital business. Therefore, to address new business model, the purpose of this study is to explore the effect of digital customer experience and electronic word of mouth on sustainable performance of supply chain through brand image and supply chain image. In this study, data is collected from employees of Indonesian ICT companies. Clusters were formulated, and respondents were selected randomly. Three hundred and fifteen (315) responses were analysed with the help of structural equation modelling. The results indicate that digital customer experience and electronic word of mouth played positive role on promoting brand image. Brand image had positive role to promote supply chain image which influences positively on sustainable supply chain performance. Therefore, this study is important for Information Communication and Technology (ICT) industry to implement various e-commerce practices to promote digital customer experience and electronic word of mouth.. , Canada by the authors; licensee Growing Science 2019 ©

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A Supply-Lock Competitive Market for Investable Products

Cited by 17 publications

References 27 publications

Economic Impact of Artificial Intelligence: New Look for the Macroeconomic Assessment in Asia-Pacific Region

Economic Impact of Artificial Intelligence: New Look for the Macroeconomic Assessment in Asia-Pacific Region

The mediating role of technology and logistic integration in the relationship between supply chain capability and supply chain operational performance

The influence of digital customer experience and electronic word of mouth on brand image and supply chain sustainable performance

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