• Title/Summary/Keyword: Distribution Impact

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A Study of the Impact of Accounting Information Quality and Information Asymmetry on Underinvestment in Iran

  • Mohammadi, Shaban;Esmaeilioghaz, Hamed
    • The Journal of Industrial Distribution & Business
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    • v.8 no.1
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    • pp.33-39
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    • 2017
  • Purpose - The main purpose of the current study is to examine the impact of accounting information quality and information asymmetry on the underinvestment phenomenon among the listed companies on the Tehran Stock Exchange (TSE). Research design, data, and methodology - The population includes 94 firms selected through systematic sampling. The data is collected from the audited financial statements of the firms provided by TSE's website from 2010 to 2015. Accounting information quality and information asymmetry is considered as independent variables, and their impact is examined on the dependent variable (underinvestment). Results - The statistical results, based on data collected from 94 listed companies on the TSE during 2010-2015, revealed positive impact of accounting information quality and positive impact of information asymmetry on underinvestment. There was a significant relationship between accrual quality (AQ) and underinvestment, and spread and underinvestment. The results also showed that information asymmetry is the main factor in the creation underinvestment. Conclusions - Findings of this article can assist accounting researchers and theoreticians in comparing Real world facts with hypotheses developed with respect to accounting information quality, information asymmetry and underinvestment. However, the results of fuzzy regression analysis indicate significant relationships between the independent variable except underinvestment.

The Impact of COVID-19, Day-of-the-Week Effect, and Information Flows on Bitcoin's Return and Volatility

  • LIU, Ying Sing;LEE, Liza
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.45-53
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    • 2020
  • Past literatures have not studied the impact of real-world events or information on the return and volatility of virtual currencies, particularly on the COVID-19 event, day-of-the-week effect, daily high-low price spreads and information flow rate. The study uses the ARMA-GARCH model to capture Bitcoin's return and conditional volatility, and explores the impact of information flow rate on conditional volatility in the Bitcoin market based on the Mixture Distribution Hypothesis (Clark, 1973). There were 3,064 samples collected during the period from 1st of January 2012 to 20th April, 2020. Empirical results show that in the Bitcoin market, a daily high-low price spread has a significant inverse relationship for daily return, and information flow rate has a significant positive relationship for condition volatility. The study supports a significant negative relationship between information asymmetry and daily return, and there is a significant positive relationship between daily trading volume and condition volatility. When Bitcoin trades on Saturday & Sunday, there is a significant reverse relationship for conditional volatility and there exists a day-of-the-week volatility effect. Under the impact of COVID-19 event, Bitcoin's condition volatility has increased significantly, indicating the risk of price changes. Finally, the Bitcoin's return has no impact on COVID-19 events and holidays (Saturday & Sunday).

A new bridge-vehicle system part II: Parametric study

  • Chan, Tommy H.T.;Yu, Ling;Yung, T.H.;Chan, Jeffrey H.F.
    • Structural Engineering and Mechanics
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    • v.15 no.1
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    • pp.21-38
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    • 2003
  • The formulation of a new bridge-vehicle system using shell with eccentric beam elements has been introduced in a companion paper (Part I). The new system takes into account of the contribution of the twisting and pitching modes of vehicles to the bridge responses. It can also be used to study the dynamic transverse load distribution of a bridge. This paper presents a parametric study on the impact induced by one vehicle or multi-vehicle running across a bridge using the proposed model. Several parameters were considered as variables including the mass ratio, the speed parameter, the frequency ratio and the axle spacing parameter to investigate their effects on the impact factor. A total number of 189 cases were carried out in this parametric study. Within the realistic range of vehicle considered, the maximum impact factors could be 2.24, 1.78 and 1.49 for bridges with spans 10 m, 20 m and 30 m respectively.

Nonlinear dynamic response of axially moving GPLRMF plates with initial geometric imperfection in thermal environment under low-velocity impact

  • G.L. She;J.P. Song
    • Structural Engineering and Mechanics
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    • v.90 no.4
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    • pp.357-370
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    • 2024
  • Due to the fact that the mechanism of the effects of temperature and initial geometric imperfection on low-velocity impact problem of axially moving plates is not yet clear, the present paper is to fill the gap. In the present paper, the nonlinear dynamic behavior of axially moving imperfect graphene platelet reinforced metal foams (GPLRMF) plates subjected to lowvelocity impact in thermal environment is analyzed. The equivalent physical parameters of GPLRMF plates are estimated based on the Halpin-Tsai equation and the mixing rule. Combining Kirchhoff plate theory and the modified nonlinear Hertz contact theory, the nonlinear governing equations of GPLRMF plates are derived. Under the condition of simply supported boundary, the nonlinear control equation is discretized with the help of Gallekin method. The correctness of the proposed model is verified by comparison with the existing results. Finally, the time history curves of contact force and transverse center displacement are obtained by using the fourth order Runge-Kutta method. Through detailed parameter research, the effects of graphene platelet (GPL) distribution mode, foam distribution mode, GPL weight fraction, foam coefficient, axial moving speed, prestressing force, temperature changes, damping coefficient, initial geometric defect, radius and initial velocity of the impactor on the nonlinear impact problem are explored. The results indicate that temperature changes and initial geometric imperfections have significant impacts.

An Analysis of Reference Station Distribution Impact on KASS UDRE Performance (기준국 배치에 따른 한국 위성기반 보강 시스템 UDRE 성능 영향 분석)

  • Yun, Youngsun
    • Journal of Advanced Navigation Technology
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    • v.19 no.3
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    • pp.207-216
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    • 2015
  • Since the distribution of SBAS reference stations is one of the most important factors that affect the system performance, the effects of the distribution should be analyzed carefully from the beginning of the program to develop the system conforming to given performance requirements. The reference stations of KASS, the Korean SBAS, are planned to be installed only inside South Korea, which limits the number and area of those. It differentiates KASS from others that have much larger sites. In this paper, the author analyzes the performance impact on UDRE and ${\delta}UDRE$ for GPS and GEO due to the limitations by a series of simulations, which showed that the UDRE performance depends on the diversity of the reference station distribution and the impact on the GEO UDRE is significant. The paper concludes by providing KASS design and development considerations to minimize the possible performance risks due to the limitations of KASS reference station distribution.

Channel Integration Quality, Customer Experience and Patronage in Omnichannel Retailing

  • NGUYEN, Hai Ninh
    • Journal of Distribution Science
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    • v.19 no.12
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    • pp.23-32
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    • 2021
  • Purpose: By integrating multiple separate online, offline distribution channels, omnichannel distribution has modernized and revolutionized the retailing sector. Omnichannel distribution supports firms by delivering seamless shopping experiences for customers throughout all touchpoints of the shopping journey. This paper aims at exploring the impact of channel integration quality on customer experience and patronage intentions in the omnichannel distribution context. Research design, data and methodology: An online survey was taken with 351 omnichannel experienced shoppers by utilizing the structured questionnaire. The partial least square-structural equation modeling (PLS-SEM) and Smart PLS software were employed to analyze and test proposed hypotheses. Results: The findings reveal that channel integration quality dimensions including breadth of channel-service choice, transparency of channel-service configuration, content consistency, and process consistency, play crucial roles in the customer shopping experience. The perceived compatibility has been influenced by the integrated interactions in which content consistency and process consistency. The findings also demonstrate the positive and direct impact of perceived compatibility on customer experience, and both factors have substantial effects on customers' patronage intentions. Conclusions: This study sheds light on the literature on channel integration quality, omnichannel retailing experience and customer patronage. In addition, this study provides practical implications for omnichannel retailers in enhancing customer experience and patronage.

Distribution of Competitiveness and Foreign Direct Investment using Autoregressive Distributed Lag Model

  • PHAM, Huong Thi Thu;PHAM, Nga Thi
    • Journal of Distribution Science
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    • v.20 no.8
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    • pp.1-8
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    • 2022
  • Purpose: Research on attracting foreign direct investment (FDI) plays an important role in helping provinces attract more FDI projects. However, with local competition, FDI enterprises also have to consider their investment. This study evaluates the provincial competitiveness to attract FDI in Thai Nguyen province, a province of Vietnam. In which provincial distribution of competitiveness is measured through nine indicators. Research design, data, and methodology: The study collects data (FDI and the provincial competitiveness index) from 2006 to 2020. The study uses Autoregressive Distributed Lag (ARDL) to text the impact of distribution of competitivenes on foreign direct investment. With time-series, the ARDL is suitable for data analysis. Results: The regression results indicate that the competition index of market entry and informal costs negatively impact attracting FDI into the province; The human resource training quality index has a positive effect on FDI. The results show that FDI enterprises pay much attention to business establishment procedures, hidden costs, and quality of human resources in the province. Conclusions: At the same time, in terms of practice, the results of this study, the authors also offer solutions to help improve the ability to attract FDI into Thai Nguyen province. The significant provincial competitiveness indicators should be taken into account for improvement first.

The Relationship Between Brand Anthropomorphism, Brand Love, and Brand Advocacy. Moderate Role of Self-brand Connection in Brand Distribution

  • Ngoc Dan Thanh, NGUYEN;Thuy Anh, TRINH
    • Journal of Distribution Science
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    • v.21 no.3
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    • pp.37-46
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    • 2023
  • Purpose: The article focuses on studying the impact of brand anthropomorphism, and brand love, on brand advocacy, and at the same time the moderate role of brand self-connection in the process of customers' perception of the brand, especially the brand distribution. The survey subjects are customers with millennial consumers in Ho Chi Minh City, who have the behavior of buying brands in the smart mobile device industry many times with a specific brand in terms of brand distribution. Results: The findings show that Brand anthropomorphism and brand love are crucial factors to impact brand advocacy and the role of self-brand connection also is a confirmed positive effect on the relationship between brand anthropomorphism and brand love. Research design, data, and methodology: The article uses quantitative research to test the model and research hypotheses. The way to collect quantitative data is to use questionnaires with 1531 samples in Ho Chi Minh City, Vietnam. Conclusion: The research results can help businesses build a long-term brand strategy and expect to get new rewards and value from customers. They can also add to the theory about the relationship between brands and customers.

QRIS as a Drivers of Product Distribution Flows in Indonesia: Factors of Consumer Purchasing Behavior in the Use of Fintech Payments

  • Ariani BAKHITAH;Ricardo INDRA;Wandy HALIM;Vicky FERBIAN;Zinggara HIDAYAT
    • Journal of Distribution Science
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    • v.21 no.12
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    • pp.59-69
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    • 2023
  • Purpose: Consumers can experience better service for distribution of products with payment technology such as QRIS (Quick Response Code Indonesian Standard) compared to conventional purchase methods. This research aims to determine the experience of QRIS service users in Indonesia. Perceived Usefulness, Ease of Use, and Perceived Security were independent factors. Behavioral Intention to Use is the dependent variable. Furthermore, Word of Mouth Attitude is an intervening variable. Research Design, Data, and Methodology: Involving active QRIS users in a survey-based quantitative study in Indonesia. A survey sample of 400 people was taken from data records of 30.87 million QRIS users in Indonesia. Data were analyzed using SEM-PLS. Results: Show that Perceived Usefulness and Perceived Ease of Use significantly impact Attitudes Word of Mouth, and Behavioral Intention to Use. This research also found that Behavioral Intention to Use does not significantly impact Perceived Security. Conclusion: QRIS, as a revolutionary innovation, offers faster payments than previous methods, with a payment time of no more than one minute. QRIS is seen as valuable, simple, and safe, disseminating information to the public and continuing to use QRIS. The implications of this research are very significant in accelerating the flow of distribution of goods and services and facilitating transactions.

The Distribution of Cosmetics Products, Brand Trust and Promotion Impact on Purchase Decision during Live Streaming

  • Indah PUSPITARINI;Ricardo INDRA;La MANI;Feby LARASATI;Adzra Athira ARIEF
    • Journal of Distribution Science
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    • v.22 no.7
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    • pp.1-11
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    • 2024
  • Purpose: Shopee, Indonesia's most frequently visited marketplace in November 2023, had 427.2 million visits. Supported by the live streaming feature, Shopee has become the most widely used online shopping platform, with an 83.4% market share in 2022. Several factors, such as brand trust and promotions, have significantly influenced Shopee's dominance and consumer purchasing decisions. This research aims to investigate the effect of cosmetic product distribution, brand trust, and promotions on purchasing decisions, considering gender and age as control variables. Research design, data and methodology: A quantitative approach using a survey research method was employed with a sample of 150 respondents, who were followers of the Shopee ESQA Cosmetics account, obtained through the Yamane formula. Data was collected via an online questionnaire. The data analysis technique used in this study was PLS-SEM with Smart PLS software. The results of this research indicate a significant effect of the distribution of cosmetics products, brand trust, promotions, gender, and age as control variables on the purchase decision variable. Conclusions: The distribution of cosmetic products, brand trust and promotions have a positive and significant impact on purchase decisions during live streaming on Shopee, and control variables (gender and age 36-45) have a positive and significant influence on purchase decisions.