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Available. Open Access. Open Access
Article
Publication date: 30 November 2002

Ji Hyeon Lee, Dong Seog Kim and Hoe Gyeong Lee

In this paper, we empirically examine the volatility process of Korean stock market returns using the KOSPI200. To investigate the property of the process, we use the FIGARCH…

13

Abstract

In this paper, we empirically examine the volatility process of Korean stock market returns using the KOSPI200. To investigate the property of the process, we use the FIGARCH (Fractionally Integrated GARCH) model that includes GARCH and 1GARCH processes as special cases. Since the FIGARCH model allows fractional integration order, it can detect hyperbolically decaying volatility processes with cannot be explained by existing models with integer integration order. The result shows that the KOSPI200 exhibits long-term dependencies. To investigate the robustness of the obtained result, we analyze the time and cross-sectional aggregation effect using weekly data and individual stock returns that the KOSPI200 is comprised of. The long memory property of the KOSPI200 does not seem to be spuriously induced by aggregation.

Details

Journal of Derivatives and Quantitative Studies, vol. 10 no. 2
Type: Research Article
ISSN: 2713-6647

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Available. Open Access. Open Access
Article
Publication date: 31 December 2011

Ji-Young Park, Jung Ung Min and Jeong Soo Park

Though logistics security only took care of trading phase in the past, many countries in the world have begun to introduce logistics security system as its coverage has been…

459

Abstract

Though logistics security only took care of trading phase in the past, many countries in the world have begun to introduce logistics security system as its coverage has been extended from production stage to delivery at the final destination. Logistics security system has become indispensable element for global corporations involved in international trading and studies on logistics security keep going on. Most of the studies, however, are focused on discussion of system, cost and influence of logistics security and few of them have been specifically dealing with substantial effectiveness thereof. This study developed the models of supply chain security activities and their outcome by means of using Balanced Scorecard (BCS) which is a well known performance indicator to identify relationship between supply chain security activities and their accomplishment. In this study we have presented 8 supply chain frameworks, human resources management, information system management, facilities/freight management, security process, crisis management capability, relationship with partners, sharing of logistics information and logistics security accomplishment, with reference to standards of C-TPAT and AEO based on WCO framework, 10 supply chain security capabilities. This study further indicates that relationship with partners has more effect on logistics security accomplishment than sharing of logistic information. Just as relationship between corporations in chain of supply and sharing of information among them are important elements in management of supply chain, relationship with partners and sharing of logistic information will have positive effect on supply chain security accomplishment and raise its effectiveness.

Details

Journal of International Logistics and Trade, vol. 9 no. 2
Type: Research Article
ISSN: 1738-2122

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Article
Publication date: 14 January 2025

J. Lucy Lee, Si Hoon Choi, Suzy Jeong and Namho Ko

The purpose of the study was to investigate the effects of artificial intelligence (A.I.) awareness, advertisement models and source-message incongruence on consumer evaluations…

91

Abstract

Purpose

The purpose of the study was to investigate the effects of artificial intelligence (A.I.) awareness, advertisement models and source-message incongruence on consumer evaluations of A.I.-generated advertisements. It explores how these factors interact in shaping consumer perceptions and advertising effectiveness.

Design/methodology/approach

A 2 (source-message (in)congruence: incongruent vs. congruent) x 3 (A.I. awareness: unawareness, pre-advertisement, post-advertisement) x 3 (advertisement model: traditional human, virtual human, digital twin) between-subjects design was employed in this study. Using stratified random sampling, a total of 231 undergraduate students were recruited from course groups and randomly assigned to one of nine experimental treatments, each involving the viewing of a specific A.I.-generated advertisement followed by a survey. Data were analyzed using two-way ANCOVA and regression analyses, controlling for participants' involvement in sports and brand.

Findings

The results indicated that A.I. awareness timing, advertisement model types and source-message incongruence significantly affected consumer evaluations of advertisements. A.I. awareness generally had a positive impact on evaluations, with the most favorable outcomes when awareness of the A.I.-generated nature occurred after viewing the advertisement. Virtual human models were rated the lowest, while digital twin and traditional human models received similarly positive evaluations. Source-message incongruence negatively influenced evaluations. An interaction effect was observed between A.I. awareness timing and advertisement model types under high source-message incongruence, where virtual human models showed the highest effectiveness when A.I. awareness occurred after viewing.

Originality/value

Given that sports are characterized by the transcendence of human limitations and the emphasis on physical and emotional challenges – elements that A.I. cannot replicate – it is essential to examine how sports consumers perceive A.I., which, despite offering efficiency and personalization advantages, contrasts with the fundamentally human nature of athletic performance. This research contributes to the literature on A.I.-generated advertising by uniquely investigating the interaction between A.I. awareness timing and advertisement model types within the context of source-message incongruence. It offers critical insights for practitioners and researchers on strategically timing A.I.-generated ad disclosures and selecting appropriate advertisement models to optimize their effectiveness. By addressing these underexplored variables, the study enhances understanding of consumer perceptions and provides a foundation for more effective A.I. integration in advertising practices.

Details

International Journal of Sports Marketing and Sponsorship, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1464-6668

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Article
Publication date: 27 February 2021

Sang Ho Lee, Seung Uk Choi and Ji Yeon Ryu

The purpose of this study is to examine the association between additional audit efforts and clients’ future equity value. The study hypothesizes that auditors’ additional audit…

503

Abstract

Purpose

The purpose of this study is to examine the association between additional audit efforts and clients’ future equity value. The study hypothesizes that auditors’ additional audit efforts directly increase clients’ stock return performance. Additionally, this study expects that the additional audit effort lowers the likelihood of audit failure and improves accounting information quality, thereby indirectly increasing clients’ future equity return performance.

Design/methodology/approach

The regression and portfolio return tests are conducted using observations from 2003 to 2016. This study uses the abnormal audit hours as a proxy for additional audit effort using mandatorily disclosed audit hour data from Korean listed firms. The study also conducts mediation analyses to examine the causal intermediate steps that link audit effort to client equity return performance.

Findings

The paper documents a significant and positive association between abnormal audit hours and clients’ subsequent years’ stock return performance and Tobin’s Q. This finding is accentuated for clients audited by Big N auditors or with greater demand for superior audit service. This finding is robust after controlling for various proxies of accounting quality. The portfolio return tests also find evidence that investors cannot fully perceive the value of audit efforts. A battery of additional tests does not alter the main findings.

Practical implications

The results provide implications for investors and policymakers by emphasizing the importance of audit efforts in value-creation. Moreover, this study’s findings suggest that auditors’ assurance, insurance and information roles are all the important drivers of this value-creation.

Originality/value

This study highlights a prominent feature of audit effort that enhances the value of auditees.

Details

Managerial Auditing Journal, vol. 36 no. 1
Type: Research Article
ISSN: 0268-6902

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Article
Publication date: 1 January 2024

Youngjoon Yu, Jae-Hyeon Ahn, Dongyeon Kim and Kyuhong Park

While prior studies have explored the relationship between visual appeal and purchasing decisions, the role of bookmarking has largely been underemphasized. This research aims to…

421

Abstract

Purpose

While prior studies have explored the relationship between visual appeal and purchasing decisions, the role of bookmarking has largely been underemphasized. This research aims to address this gap by focusing on the impact of bookmarking on consumer behavior, guided by the cognitive load theory and dual-system theory.

Design/methodology/approach

The authors executed a controlled experiment and analyzed the results using a two-stage regression method that linked visual appeal, bookmarking and purchase intent. Further empirical analysis was conducted to authenticate the authors' proposed model, utilizing real-world mobile commerce data from a clothing company.

Findings

This study's findings suggest that visual appeal influences purchase intent primarily through the full mediation of bookmarking, rather than exerting a direct influence. Furthermore, an increase in colorfulness corresponds positively with visual appeal, while visual complexity exhibits an inverted U-shaped relationship with it.

Originality/value

This study provides novel insights into the choice-set formation process through the theoretical lens of dual-system theory. Additionally, the authors employed an image processing technique to quantify a product's visual appeal as depicted in a photograph. This study also incorporates a comprehensive econometric analysis to connect the objective aspects of visual appeal with subjective responses.

Details

Industrial Management & Data Systems, vol. 124 no. 5
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 25 November 2024

Sohui Kim and Min Ho Ryu

This study introduces a novel approach to conducting importance-performance analysis (IPA) and importance-performance competitor analysis (IPCA) by utilizing online reviews as an…

23

Abstract

Purpose

This study introduces a novel approach to conducting importance-performance analysis (IPA) and importance-performance competitor analysis (IPCA) by utilizing online reviews as an alternative to traditional survey-based marketing research.

Design/methodology/approach

In order to conduct IPA and IPCA utilizing online reviews, the following three steps were executed: (1) Extract key attributes of the product/service with latent Dirichlet allocation (LDA) topic modeling. (2) Measure the importance of each attribute with keyword analysis. (3) Measure the performance of each attribute with KoBERT-based sentiment analysis.

Findings

By utilizing LDA, we were able to identify significant attributes identified by real users’ reviews. The approach of evaluating attribute importance using keyword metrics offers the advantage of straightforward computations, reducing computational expenses and facilitating intuitive metric assessments. The evaluation of BERT-based performance involved adapting pre-trained language models to the specific analysis domain, resulting in substantial time savings without compromising accuracy, ultimately bolstering the dependability of the metrics. Lastly, the case study’s findings indicate a growing emphasis on the aesthetic aspects of mobile banking apps in South Korea while highlighting the pressing need for enhancements in critical areas such as stability and security, which are particularly pertinent to the finance industry.

Originality/value

Previous studies have limitations in assessing significance solely based on sentiment scores and review ratings, resulting in an inability to independently measure satisfaction and importance metrics. This research addresses these limitations by introducing a keyword frequency-based importance metric, enhancing the accuracy and suitability of these measurements independently. In the context of performance measurement, this study utilizes pre-trained large language models (LLMs), which provide a cost-effective alternative to previous methods while preserving measurement accuracy. Additionally, this approach demonstrates the potential for industry-wide competitive analysis by enabling comparisons among multiple competitors. Furthermore, the study extends the application of review data-based IPA and IPCA, traditionally used in the tourism sector, to the evaluation of financial mobile applications. This innovation expands the scope of these methodologies, indicating their potential applicability across various industries.

Details

International Journal of Bank Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0265-2323

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Book part
Publication date: 4 September 2023

Stephen E. Spear and Warren Young

Abstract

Details

Overlapping Generations: Methods, Models and Morphology
Type: Book
ISBN: 978-1-83753-052-6

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Article
Publication date: 6 November 2024

Tianqi Xu and Min Wang

The purpose of this paper is to analyze research trends on “Wearable devices in textile filed” from 2010 to 2023 and determine the important keywords, nations and journals…

24

Abstract

Purpose

The purpose of this paper is to analyze research trends on “Wearable devices in textile filed” from 2010 to 2023 and determine the important keywords, nations and journals associated with this topic.

Design/methodology/approach

Utilizing journal literature on wearable devices from the 2010 to 2023 Web of Science (WoS) database, this study employs VOSviewer, biblioshiny of the R software package and the specialized software CiteSpace to generate knowledge graphs for measuring retrieval outcomes.

Findings

The research on wearable devices integrated into textiles between 2010 and 2023 can be divided into three stages: initial slow progress, subsequent rapid advancement and final slow progress, indicating a general rise in the quantity of published material. The terms “fabrication,” “wearable electronics” and “design” are closely linked in this field. China is the most globally networked country in this field, according to the World Collaboration Map. NANO ENERGY ranked first in the number of articles published in journals, with 18 articles and 1,151 citations.

Originality/value

The study identified the present state and research trends in the field of “Wearable devices in textile filed,” offering valuable information for researchers to enhance their understanding of the field’s progress.

Details

International Journal of Clothing Science and Technology, vol. 37 no. 1
Type: Research Article
ISSN: 0955-6222

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