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Article
Publication date: 15 June 2021

Ji Min Shim, Won Seok Lee, Joonho Moon and Myungkeun Song

The purpose of this study is to identify the attributes that statistically affect reason intention. The triple bottom line, a theoretical framework of corporate social…

Abstract

Purpose

The purpose of this study is to identify the attributes that statistically affect reason intention. The triple bottom line, a theoretical framework of corporate social responsibility (CSR) consisting of economic, social and environmental subdimensions, is used as the theoretical foundation.

Design/methodology/approach

In this study, price fairness, quarantine and hygiene, and eco-friendliness represent economic, social and environmental CSR, respectively. Amazon Mechanical Turk is used for data collection. The valid number of observations is 474. Structural equation modeling is implemented to test the research hypotheses.

Findings

The results indicate that price fairness, quarantine and hygiene positively affect the reuse intention of coffee shops. However, eco-friendliness appears to be an attribute that does not significantly affect reuse intention.

Originality/value

This study theoretically contributes to the literature by demonstrating the explanatory power of triple bottom line theory for café customer intention.

Details

British Food Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0007-070X

Keywords

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Article
Publication date: 1 December 1999

Yim‐Yu Wong, Tae Furuse and Thomas E. Maher

Outlines the Japanese system of protectionism as a global barrier and focuses on the rice markets as one of the first markets to be opened up. Analyses the reasons for…

Abstract

Outlines the Japanese system of protectionism as a global barrier and focuses on the rice markets as one of the first markets to be opened up. Analyses the reasons for this and offers strategies for overseas companies to take advantage of this opportunity. Suggest that these examples can then be applied to other markets.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 11 no. 4
Type: Research Article
ISSN: 1355-5855

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Article
Publication date: 26 November 2019

Won-Gil Hyung, Sangyong Kim and Jung-Kyu Jo

Applied a hybrid approach using genetic algorithms (GAs) for a case-based retrieval process in order to increase the overall improved cost accuracy for a case-based…

Abstract

Purpose

Applied a hybrid approach using genetic algorithms (GAs) for a case-based retrieval process in order to increase the overall improved cost accuracy for a case-based library. The paper aims to discuss this issue.

Design/methodology/approach

A weight optimization approach using case-based reasoning (CBR) with proposed GAs for developing the CBR model. GAs are used to investigate optimized weight generation with an application to real project cases.

Findings

The proposed CBR model can reduce errors consistently, and be potentially useful in the early financial planning stage. The authors suggest the developed CBR model can provide decision-makers with accurate cost information for assessing and comparing multiple alternatives in order to obtain the optimal solution while controlling cost.

Originality/value

The system can operate with more accuracy or less cost, and CBR can be used to better understand the effects of factor interaction and variation during the developed system’s process.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 2
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 8 February 2016

Steven Chen

The purpose of this paper is to outline a framework for marketing cultural goods (e.g. music) to global markets by examining modes of entry and positioning strategies used…

Abstract

Purpose

The purpose of this paper is to outline a framework for marketing cultural goods (e.g. music) to global markets by examining modes of entry and positioning strategies used by media producers of the South Korean music industry.

Design/methodology/approach

An historic analysis was implemented to investigate the modalities and structures through which cultural products are produced and disseminated. Data for this study came from 314 articles collected from www.allkpop.com, a leading English-language, South Korean popular culture news site.

Findings

The cultural technology framework consists of the institutionalization of cultural technology, exportation of cultural content, collaborations with local talent, and joint ventures with local markets.

Research limitations/implications

The findings emerge from an analysis of South Korean popular music industries, and further research is needed to generalize the results across cultural industries.

Practical implications

The cultural technology framework can be applied to cultural industries such as music, film, comics, and art, where culture and language could be barriers to adoption.

Originality/value

This study outlines a framework for the modes of entry and positioning strategies of cultural goods (e.g. music) in international markets. Extant literature has examined global marketing from the purview of durable consumer goods and brands, with limited insights into cultural products. More broadly, this paper addresses the call for more qualitative inquiry into international marketing topics.

Details

International Marketing Review, vol. 33 no. 1
Type: Research Article
ISSN: 0265-1335

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Article
Publication date: 13 November 2017

Jun Zha, Yaolong Chen and Penghai Zhang

The form error of shaft and hole parts is inevitable because of the machining error caused by rotation error of tool axis in machine tools where the elliptical form error…

Abstract

Purpose

The form error of shaft and hole parts is inevitable because of the machining error caused by rotation error of tool axis in machine tools where the elliptical form error is the most common in shaft and bearing bush. The purpose of this paper is to present the relationship between the elliptical form error and rotation accuracy for hydrostatic journal bearing in precision spindle and rotation table.

Design/methodology/approach

An error averaging effect model of hydrostatic journal bearing is established by using Reynolds equation, pressure boundary conditions, flux continuity equation of the land and kinetic equation of shaft in hydrostatic journal bearing. The effects of shaft and bearing bush on rotation accuracy were analyzed quantitatively.

Findings

The results reveal that the effect of shaft elliptical form error on rotation accuracy was six times larger than bearing bush. Therefore, to improve the rotation accuracy of hydrostatic journal bearing in spindle or rotation table, the machining error of shaft should be controlled carefully.

Originality/value

An error averaging model is proposed to evaluate the effect of an elliptical form error on rotation accuracy of hydrostatic journal bearings, which solves the Reynolds equation, the flux continuity equation and the kinetic equation. The determination of form error parameters of shaft and bearing bush can be yielded from finding results of this study for precision design of hydrostatic journal bearings.

Details

Industrial Lubrication and Tribology, vol. 69 no. 6
Type: Research Article
ISSN: 0036-8792

Keywords

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Article
Publication date: 10 June 2021

Claudia Stoian Bobalca, Oana Ţugulea, Mihaela Ifrim and Liviu-George Maha

As satisfaction is one of the most important conditions for loyalty, this study aims to investigate the main factors affecting online satisfaction for buying clothes from…

Abstract

Purpose

As satisfaction is one of the most important conditions for loyalty, this study aims to investigate the main factors affecting online satisfaction for buying clothes from the internet. In this research, the authors followed two main objectives: (1) to identify factors influencing online satisfaction and (2) to determine the importance of the main determinants that explain online satisfaction in the retailing clothing sector.

Design/methodology/approach

The research combines qualitative and quantitative research methods. The authors used the focus group technique and a survey based on a questionnaire. For the first exploratory phase of the research, we conducted four focus groups with 21 women, 18–39 years old, who have at least two years experiences as online buyers and who made at least two acquisitions for clothing products in the past six months, from the same website. The purpose of this qualitative method was to understand the young women's perception about online satisfaction and to collect items to be included in the questionnaire. For the second quantitative phase of this study, the sample consisted of 241 participants. To analyse the data, two different types of inferential analysis were used: factor analysis (for identifying the factors that compose online customer satisfaction) and analysis of regression (to determine the most important factors that determine and predict online buyers' satisfaction).

Findings

The main results indicate that the significant factors determining a satisfactory experience in an e-retailing market are: good deal (savings), product expectations, customer service and website reputation.

Originality/value

The study is more relevant in the current pandemic context, when the consumer’s behaviour has changed and online shopping has substantially increased. The research can be used by companies that sell clothing on the internet and are interested in increasing their financial results and also their customers' satisfaction.

Details

International Journal of Retail & Distribution Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-0552

Keywords

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Article
Publication date: 2 March 2015

Alp Ustundag and Aysenur Budak

Distribution network design (DND) has become an important strategic decision for supply chain managers with increasing competitive nature of the industry nowadays. The…

Abstract

Purpose

Distribution network design (DND) has become an important strategic decision for supply chain managers with increasing competitive nature of the industry nowadays. The purpose of this paper is to propose a web-based decision support system (DSS) for fuzzy distribution network optimization. For this purpose, a web-based DSS using fuzzy linear programming model is proposed to solve DND problem under uncertainty and a framework is created to optimize a distribution network.

Design/methodology/approach

In this study, the fuzziness in distribution network optimization is addressed. Fuzzy linear programming is used in a DSS to consider the uncertain and imprecise data. A web-based DSS architecture is presented. Furthermore, as an application, distribution network optimization is conducted for a company in the ceramics industry.

Findings

By using this DSS, the optimal transshipment amounts in the distribution network and the required facility and distribution centers can be determined for different fuzziness levels. In fact, for different uncertainty levels of input parameters, the planner can understand the range of optimum network planning costs. Based on the results of this study, planners will be able to decide how to develop the distribution network under uncertain demand.

Originality/value

Reviewing previous research in the related literature revealed that there are no studies presenting a web-based DSS using fuzzy linear programming model to solve this type of problems under uncertainty.

Details

Journal of Enterprise Information Management, vol. 28 no. 2
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 24 February 2021

Young Dae Ko and Byung Duk Song

In the tourism industry, unmanned aerial vehicles (UAVs) can perform monitoring and patrol missions to protect assets and tourists at attractions such as coastal areas…

Abstract

Purpose

In the tourism industry, unmanned aerial vehicles (UAVs) can perform monitoring and patrol missions to protect assets and tourists at attractions such as coastal areas, canyons, national parks, etc. Such use of UAVs can improve safety and security of tourism attraction and facilitate tourism industry. However, there is a key issue regarding economic investment and efficient operation for actual system implementation. The purpose of this paper is to provide a guideline for supporting economic investment and the efficient operation of UAV system in the tourism industry.

Design/methodology/approach

Ideas and methodologies have been proposed to overcome the fundamental limitations of commercial UAVs. A mathematical optimization model is developed to determine the optimal number of UAVs to be purchased, and its operation schedules simultaneously.

Findings

Using proposed concept and methodology, UAVs can support long duration of missions. Economic system design as well as the operation schedule is derived with the hypothesis data in Kkot-Ji beach in Korea. The proposed methodology and approach is expected to have huge potential at many tourism attractions to achieve the safety and security of tourists.

Practical implications

The result of this study can facilitate practical use of UAVs in the tourism industry. Furthermore, it is applicable in many industries that need UAV systems such as national defence, agriculture, disaster management, etc.

Originality/value

The proposed study suggests a solution to handle fundamental weakness of UAVs and support long duration of missions. In addition, this study incorporates economic system design issue and operation issue simultaneously.

Details

Asia Pacific Journal of Marketing and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-5855

Keywords

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Article
Publication date: 1 December 2020

Lanmin Wang, Hongmin Wang, Huiyan Zhang, Naiseman Akemujiang and Aimin Xiao

Body type classification has a great influence on plate making and garment sizing system, and the accuracy of body type classification method will greatly affect the fit…

Abstract

Purpose

Body type classification has a great influence on plate making and garment sizing system, and the accuracy of body type classification method will greatly affect the fit of garment production. The purpose of this paper is to use the decision tree algorithm to study body classification rules, develop a decision tree body recognition model and judge the body shape of middle-aged women in Xinjiang.

Design/methodology/approach

First, perform dimensionless processing on the collected data of 256 middle-aged women in Xinjiang, and the dimensionless data were used for K-means body clustering; Then, quantitatively analyze the effectiveness of different classification clusters based on the silhouette coefficients. Second, the decision tree algorithm is used to divide the classified sample data into a training set and a test set at a ratio of 70/30, and select the best node and the best branch based on the Gini coefficient to construct a classification tree. Last, the overall optimal decision tree is generated by means of hyperparameter pruning.

Findings

The body shape of middle-aged women in Xinjiang can be divided into three types: standard body, plump body and obese body. The decision tree model has an excellent effect on body classification of middle-aged women in Xinjiang (precision (macro), 95.46%; precision (micro), 95.95%; recall (macro), 95.46%; recall (micro), 95.95%; F1 (macro), 95.46%; F1 (micro), 95.95%).

Originality/value

For scientific research, this paper is conducive to increasing the regional body type theory and stimulating the establishment of a garment sizing subdivision system in Xinjiang. In terms of production practice, this paper not only establishes a model for judging the shape of middle-aged women in Xinjiang, but also provides reference data for intermediates of various sizes. In addition, to facilitate pattern-making and the establishment of a subdivision system for the size of middle-aged women's garments in Xinjiang, this paper provides the grading values of various body control parts of middle-aged women in Xinjiang.

Details

International Journal of Clothing Science and Technology, vol. 33 no. 3
Type: Research Article
ISSN: 0955-6222

Keywords

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Article
Publication date: 21 August 2017

Preeti Tak and Savita Panwar

The purpose of this paper is to understand antecedents of app-based shopping in an Indian context. The paper has used unified theory of acceptance and use of technology…

Abstract

Purpose

The purpose of this paper is to understand antecedents of app-based shopping in an Indian context. The paper has used unified theory of acceptance and use of technology (UTAUT) 2 model for examining the impact of various constructs on behavioral intention and usage behavior of smart phone users toward the mobile shopping apps.

Design/methodology/approach

The constructs were tested and validated by means of a structured questionnaire which was administered on a sample of 350 mobile app shoppers in Delhi. AMOS 20 was used to analyze the collected data.

Findings

The study revealed that hedonic and habit are the strongest predictors of users’ behavioral intention to use mobile apps for shopping. Respondents are also influenced by the deals that are being offered by the marketers. The research also suggests that facilitating conditions help in usage of mobile apps for shopping.

Research limitations/implications

Managerial implications simplifying the interface which would encourage the less technologically advanced individuals to use mobile apps. Hedonic element of shopping through mobile apps should also be enhanced.

Originality/value

This study contributes to the research on intentions and usage behavior of consumer technologies by adopting UTAUT 2 model to explain the intentions and usage behavior toward mobile apps for shopping. The paper also measured the role of deals in influencing the consumers.

Details

Journal of Indian Business Research, vol. 9 no. 3
Type: Research Article
ISSN: 1755-4195

Keywords

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