• 제목/요약/키워드: monetary approach

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The Role of the Manufacturing Sector in Promoting Economic Growth in the Saudi Economy: A Cointegration and VECM Approach

  • SALLAM, Mohamed A.M.
    • The Journal of Asian Finance, Economics and Business
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    • 제8권7호
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    • pp.21-30
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    • 2021
  • This study examines the role of the manufacturing sector in stimulating economic growth in the Saudi economy. Even though the economic literature shows how the manufacturing sector stimulates economic growth, it does not clearly show the role of the manufacturing sector in economic growth. The study employed annual time-series data spanning the 1980-2018 period from the databases of the Saudi Arabian Monetary Authority. Moreover, the cointegration and VECM approaches were employed to examine the short- and long-run relationship causality between variables. The results show a two-way causal relationship exists between the manufacturing sector and economic growth. Furthermore, the results indicate that a unidirectional causal relationship exists, running from the manufacturing sector to the services sector. The study recommends that the determinants of the growth of the Saudi manufacturing sector must be investigated. Moreover, the most productive Saudi manufacturing industries must be identified, and the productivity of other sectors must be increased in a way that contributes to economic plans and policies. Thus, adopting economic policies that stimulate investment in the manufacturing sector contributes to increasing non-oil exports to diversify sources of income to achieve vision 2030 of the Kingdom of Saudi Arabia.

Comparison of Asset Management Approaches to Optimize Navigable Waterway Infrastructure

  • Oni, Bukola;Madson, Katherine;MacKenzie, Cameron
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.3-10
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    • 2022
  • An estimated investment gap of $176 billion needs to be filled over the next ten years to improve America's inland waterway transportation systems. Many of these infrastructure systems are now beyond their original 50-year design life and are often behind in maintenance due to funding constraints. Therefore, long-term maintenance strategies (i.e., asset management (AM) strategies) are needed to optimize investments across these waterway systems to improve their condition. Two common AM strategies include policy-driven maintenance and performance-driven maintenance. Currently, limited research exists on selecting the optimal AM approach for managing inland waterway transportation assets. Therefore, the goal of this study is to provide a decision model that can be used to select the optimal alternative between the two AM approaches by considering key uncertainties such as asset condition, asset test results, and asset failure. We achieve this goal by addressing the decision problem as a single-criterion problem, which calculates each alternative's expected value and certain equivalence using allocated monetary values to determine the recommended alternative for optimally maintaining navigable waterways. The decision model considers estimated and predicted values based on the current state of the infrastructure. This research concludes that the performance-based approach is the optimal alternative based on the expected value obtained from the analysis. This research sets the stage for further studies on fiscal constraints that will effectively optimize these assets condition.

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Predicting Session Conversion on E-commerce: A Deep Learning-based Multimodal Fusion Approach

  • Minsu Kim;Woosik Shin;SeongBeom Kim;Hee-Woong Kim
    • Asia pacific journal of information systems
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    • 제33권3호
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    • pp.737-767
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    • 2023
  • With the availability of big customer data and advances in machine learning techniques, the prediction of customer behavior at the session-level has attracted considerable attention from marketing practitioners and scholars. This study aims to predict customer purchase conversion at the session-level by employing customer profile, transaction, and clickstream data. For this purpose, we develop a multimodal deep learning fusion model with dynamic and static features (i.e., DS-fusion). Specifically, we base page views within focal visist and recency, frequency, monetary value, and clumpiness (RFMC) for dynamic and static features, respectively, to comprehensively capture customer characteristics for buying behaviors. Our model with deep learning architectures combines these features for conversion prediction. We validate the proposed model using real-world e-commerce data. The experimental results reveal that our model outperforms unimodal classifiers with each feature and the classical machine learning models with dynamic and static features, including random forest and logistic regression. In this regard, this study sheds light on the promise of the machine learning approach with the complementary method for different modalities in predicting customer behaviors.

Assessing the Impact of Digital Procurement via Mobile Phone on the Agribusiness of Rural Bangladesh: A Decision-analytic Approach

  • Alam, Md. Mahbubul;Wagner, Christian
    • Agribusiness and Information Management
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    • 제5권1호
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    • pp.31-41
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    • 2013
  • The research assesses the impact of a digital procurement (e-purjee) system for sugarcane growers in Bangladesh. The system itself is simple, transmitting purchase orders to local farmers via SMS text notification. It replaces a traditional paper-based system fraught with low reliability and delivery delays. Applying expected value theory, and using decision tree representations to depict growers' decision-making complexity in an information-asymmetric environment, we compute outcomes for the strategies and sub-strategies of ICT vs. traditional paper-based order management from the sugarcane growers' perspective. The study results show that the digital procurement system outperforms the paper-based system by tangibly reducing growers' economic losses. The digital system also appears to benefit growers non-monetarily, because of reduced uncertainty and a higher level of perceived fairness. Sugarcane growers appear to value the non-monetary benefits even higher than the economic advantages of the e-purjee system.

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Value of Number Portability on Internet Phones

  • Ku, Jung-Eun;Lee, Sang-Woo;Hyun, Tchang-Hee
    • ETRI Journal
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    • 제32권1호
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    • pp.169-171
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    • 2010
  • Even though Internet phone service (IPS) continues to evolve in terms of quality and competitive pricing compared with the public switched telephone network (PSTN), the number of Internet phone subscribers is still low in South Korea. The Korean government decided to apply number portability to the IPS market in 2008. This study expresses its value in monetary terms with a contingent valuation approach. With this methodology, this study investigates the willingness of 316 current PSTN subscribers to pay for IPS, using a specific survey method called double-bounded dichotomous choices, to obtain more accurate data. The results show that the calculated value of Internet phone number portability positively impacts consumer welfare.

배달앱에 대한 지각된 가치와 제공하는 정보의 품질이 지속적 이용의도에 미치는 영향 (The Impact of Perceived Value and Information Quality on Continued Usage of Delivery Apps)

  • 정오;구철모
    • 한국정보시스템학회지:정보시스템연구
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    • 제27권4호
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    • pp.129-147
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    • 2018
  • Purpose The purpose of this study is to identify the effects of users' perceived value of food delivery Apps and information quality on acceptance and intention to reuse of food delivery Apps. Design/methodology/approach This study made a design of the research model by integrating the factors of perceived value and information quality with the acceptance and continued usage of delivery Apps on the basis of the TAM (Technology Acceptance Model). Findings The results of this study suggests that perceived emotional value and monetary value, accuracy and timeliness of information have significant positive effects on usefulness and easiness of food delivery Apps. Meanwhile, both usefulness and easiness of food delivery Apps have significant positive influences on users' continually use intention. Furthermore, implications in terms of the findings of this study are discussed.

The Relationship Between Financial Condition and Business Cycle in Mongolia

  • Doojav, Gan-Ochir;Purevdorj, Munkhbayar
    • East Asian Economic Review
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    • 제23권2호
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    • pp.203-223
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    • 2019
  • This paper examines the interactions between financial conditions and business cycles in Mongolia, a small open economy, heavily depending on commodity exports. We construct two financial conditions indexes based on the reduced form IS model and the vector autoregression (VAR) model as surveillance tools to quantify the degree of the financial conditions. We find that real short-term interest rate and real effective exchange rate gap get a higher weight in the FCIs. Both business and financial cycles are often more pronounced in Mongolia, and financial condition is dependent of the financial and monetary policies in place. The analysis of the predictive power of the FCIs for business cycles shows that they have predictive information for the near-term economic activities. FCIs are also helpful in signaling inflation turning points.

THE PRICE OF RISK IN CONSTRUCTION PROJECTS: CONTINGENCY APPROXIMATION MODEL (CAM)

  • S. Laryea;E. Badu;I. K. Dontwi
    • 국제학술발표논문집
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    • The 2th International Conference on Construction Engineering and Project Management
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    • pp.106-118
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    • 2007
  • Little attention has been focussed on a precise definition and evaluation mechanism for project management risk specifically related to contractors. When bidding, contractors traditionally price risks using unsystematic approaches. The high business failure rate our industry records may indicate that the current unsystematic mechanisms contractors use for building up contingencies may be inadequate. The reluctance of some contractors to include a price for risk in their tenders when bidding for work competitively may also not be a useful approach. Here, instead, we first define the meaning of contractor contingency, and then we develop a facile quantitative technique that contractors can use to estimate a price for project risk. This model will help contractors analyse their exposure to project risks; and also help them express the risk in monetary terms for management action. When bidding for work, they can decide how to allocate contingencies strategically in a way that balances risk and reward.

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Investigating Teachers' Perception of the Educational Resource Sharing System in Korea: A Qualitative Research

  • Sewon JOO;Innwoo PARK
    • Educational Technology International
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    • 제24권2호
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    • pp.115-141
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    • 2023
  • The aim of this research is to understand the perceptions of primary and secondary teachers regarding educational resource sharing systems(ERS) by using a qualitative approach. This study conducted Focus Group Interview(FGI) with 20 primary and secondary school teachers. Interview data were analyzed through inductive content analysis method. The results are as follows. First, teachers placed significant emphasis on high-quality, convenient functions, and reward system for sharing resources. Specifically, teachers identified the necessity for a diverse array of materials, systematic categorization of these resources, and the provision of monetary compensation as essential components. Second, the study participants advocated strategies for revitalizing ERS including enhancing accessibility, constructing user-friendly features, increasing awareness, and establishing a reward system to incentivize the resource sharing. In particular, teachers proposed strategies such as developing mobile-based services and AIdriven data recommendation system. These results provide actionable insights for stakeholders engaged in the design, implementation, and evaluation of resource sharing platforms.

International Transmission of Macroeconomic Uncertainty in China: A Time-varying Bayesian Global SVAR Approach

  • Wongi Kim
    • East Asian Economic Review
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    • 제28권1호
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    • pp.95-140
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    • 2024
  • This study empirically investigates the international transmission of China's uncertainty shocks. It estimates a time-varying parameter Bayesian global structural vector autoregressive model (TVP-BGVAR) using time series data for 33 countries to evaluate heterogeneous international linkage across countries and time. Uncertainty shocks are identified via sign restrictions. The empirical results reveal that an increase in uncertainty in China negatively affects the global economy, but those effects significantly vary over time. The effects of China's uncertainty shocks on the global economy have been significantly altered by China's WTO accession, the global financial crisis, and the recent US-China trade conflict. Furthermore, the effects of China's uncertainty shocks, typically on inflation, differ significantly across countries. Moreover, Trade openness appears crucial in explaining heterogeneous GDP responses across countries, whereas the international dimension of monetary policy appears to be important in explaining heterogeneous inflation responses across countries.