• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.3
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• pp.93-104
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• 2022

Purpose - The green marketing practice improves consumers' environmental knowledge, consequently bolstering their environmental purchase intention. It also improves consumers' green brand knowledge, positively influences their attitude toward green brands. This research examines the role of green brand image between green marketing practice and consumers' green purchasing intention Research design, Data, and methodology - This research has conducted the 'Qualitative Content Analysis' in the current literature dataset. It is crucial to create the procedures and processes that is used to acquire the data needed to structure or solve problems. Finally, total 35 prior studies included for the analysis. Result - Based on prior studies, the current authors figured out that the green brand image plays an essential role in promoting companies' efforts in green marketing practices and green purchase intentions through its mediating ability by fostering trust, green perceived value, green brand loyalty, and social responsibility as a significant determiner of green practices Conclusion - This research concludes that green brand positioning helps companies secure a special place in a consumers' mind by facilitating the design of the desired green brand awareness image and strengthening consumers' desire to purchase a specific green product/service. Green brand positioning centers on the way marketing communications of green brand features green brand knowledge.

• Journal of Information Technology Applications and Management
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• v.29 no.1
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• pp.1-28
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• 2022

To realize the vision of internet of things (IoT), where it is expected to bring significant impact to the global economy in the future, consideration of business models in the IoT context is necessary. This research attempts to build an enhanced artifact business model framework based on the definitions of IoT and literature on business models for analysis of IoT businesses. The framework is used to analyze four different types of players: the owner of things, vendors of devices, providers of connectivity and providers of IoT application services. The findings suggest that the owners of things tend to partner with ICT players to complement their weakness, and it tends to be connectivity providers. The device vendors leverage their strength of devices and device platforms to attract and enable 3rd party sensor/devices to interconnect, while the service providers are aiming to penetrate into customer premise. These lead to the following recommendations for non-IT players to consider in expanding into IoT business: 1) take into account differences in product development process between IT and non-IT businesses in expanding into IoT market; 2) collaborate with ICT players that acknowledge and understand the differences.

• Journal of Distribution Science
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• v.21 no.9
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• pp.1-11
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• 2023

Purpose: This study focuses on developing a structural equation model of variables influencing loyalty to buying and selling food products through e-marketplaces in Thailand. The variables investigated comprised food attributes, online system attributes, marketing innovations, attitudes, and satisfaction. Research design, data and methodology: An online questionnaire was used to collect data from a sample group (200 buyers and 200 sellers) using quota sampling. The data were analyzed using the structural equation model. Results: The developed structural equation model was consistent with the empirical data. Factors in the model could explain 40.1% of the variance in loyalty to buying and selling food products through e-marketplaces. Food attributes and online system attributes influenced satisfaction directly. Online system attributes, market innovation, and attitudes directly influenced loyalty. The developed model had no variation between groups of buyers and sellers. Conclusions: This research demonstrated the causal factors leading to consumer loyalty to buying and selling food products through e-marketplaces. The research findings help e-marketplace providers manage factors of buying and selling to comply with the needs of buyers and sellers, which will increase the number of buyers and sellers, help generate long-term profits for service providers, and increase the country's financial value.

• Annual Conference of KIPS
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• 2009.11a
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• pp.819-820
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• 2009

Standish Group 조사에 의하면 1994년부터 2004년까지 10년간 소프트웨어 프로젝트의 원가 초과율이 180%에서 56%로 낮아졌고 납기 초과율은 164%에서 84%로 낮아져 프로젝트의 품질 수준이 높아진 것으로 조사되었다. 이러한 결과의 교훈은 SW 프로젝트를 보다 작은 시간 프레임으로 나눠 짧은 시간 프레임 내에서 설계, 프로토타이핑, 개발, 테스트를 반복적으로 수행하고 소프트웨어가 자라는 방식의 프로세스 적용이라고 설명했는데 이러한 특징을 갖는 것이 바로 애자일(Agile:기민한) 방법론이다.[1] 그렇다면 애자일 방법 적용이 과연 프로세스 품질 성숙도를 어느 정도 충족시킬 수 있는지에 대한 접근도 이제는 필요하다. 본 연구에서는 웹 서비스 제품 개발 프로세스에 Agile 방법론 중 하나인 Scrum 방법론을 적용한 조직의 사례를 통하여 프로세스 품질 성숙도 요소 충족 여부를 분석함으로써 애자일 방법론을 적용한 조직의 프로세스 품질 성숙도 측정에 도움을 줄 수 있을 것이다.

• Asia Marketing Journal
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• v.17 no.4
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• pp.43-61
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• 2016

This paper has identified some theoretical reasons and empirical evidence for negative scores that occur in Japan and Korea or unstable NPS scores that can be experienced. A psychological analysis of NPS results sheds light on the validity of the negative NPS scores that are often found in Japan and Korea. Usually customer experience surveys utilize a "single stimulus" such as the "company" or the "company's products / services." However, in the case of the "recommendation to friend" question of the NPS system there are two stimuli namely the "company product/service" and the influence of "friends." Hence, the survey outcomes from this question can be very different when compared with other single stimulus questions such as "overall satisfaction" or "repurchase." Japanese and Korean people may have a positive attitude towards the company but they will provide low NPS scores because they are reflecting that they would not run the risk of ruining their relationships with their friends by making a recommendation. As a result, in the NPS system these people will be labeled as "detractors" when in fact they are "ambivalent customers." Using several Japanese and Korean based marketing research industry examples and case studies, different strategies are proposed to address the issue of negative scores in the NPS system in Japan and Korea. The Customers Psyche appears to be the key determinant factors for both types of behavioural items (items with a single stimulus as well as items with two stimuli).

• Clean Technology
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• v.16 no.3
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• pp.155-161
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• 2010

Product-based environmental regulations, such as RoHS, REACH, EuP, etc., on electrical and electronic equipments, chemicals, and so on, initiated by the European Union, are becoming a global trend. These regulations can create barriers to trade among nations worldwide and may thereby have a direct impact on the function of internal market. If domestic companies utilize well the international environmental regulations in advance, they will get good opportunity for expanding overseas market. In this paper the current status of countermeasure for overcoming the international environmental regulations in domestic industries was investigated and the future plans were discussed.

• Journal of information and communication convergence engineering
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• v.21 no.2
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• pp.117-129
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• 2023

High-utility itemset mining (HIUM) has emerged as a key data-mining paradigm for object-of-interest identification and recommendation systems that serve as frequent itemset identification tools, product or service recommendation systems, etc. Recently, it has gained widespread attention owing to its increasing role in business intelligence, top-N recommendation, and other enterprise solutions. Despite the increasing significance and the inability to provide swift and more accurate predictions, most at-hand solutions, including frequent itemset mining, HUIM, and high average- and fast high-utility itemset mining, are limited to coping with real-time enterprise demands. Moreover, complex computations and high memory exhaustion limit their scalability as enterprise solutions. To address these limitations, this study proposes a model to extract high-utility frequent closed itemsets based on an improved cumulative summary list structure (CSLFC-HUIM) to reduce an optimal set of candidate items in the search space. Moreover, it employs the lift score as the minimum threshold, called the cumulative utility threshold, to prune the search space optimal set of itemsets in a nested-list structure that improves computational time, costs, and memory exhaustion. Simulations over different datasets revealed that the proposed CSLFC-HUIM model outperforms other existing methods, such as closed- and frequent closed-HUIM variants, in terms of execution time and memory consumption, making it suitable for different mined items and allied intelligence of business goals.

• The Korean Journal of Food & Health Convergence
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• v.9 no.3
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• pp.11-17
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• 2023

This study aims to investigate the effect of the selection attribute of Newtro (New + Retro) product marketing, which is a recent topic in the food industry, on consumer satisfaction. Newtro marketing, also known as Newtro-style marketing, is a marketing strategy that emerged in South Korea, particularly in the food industry. Newtro marketing aims to appeal to consumers' nostalgia for the past while incorporating contemporary elements. As a research method, a survey was conducted on the importance of selection attributes and repurchase intention of Newtro food for consumer groups of various age groups ranging from teenagers to those in their 40s or older. To analyze the demographic content of the sample, frequency analysis of the SPSS statistical package was performed, and structural equation modeling was performed using the AMOS program for confirmatory factor analysis and discriminant validity analysis. The analysis results are as follows. First, Package Design, Perceived Healthiness, and Emotional Taste, optional attributes of Newtro marketing, significantly affected satisfaction. Second, satisfaction was found to have a statistically significant effect on repurchase intention. However, Functional Flavor did not statistically affect satisfaction. This study empirically analyzed the importance of consumers' selection attributes for the recently popular food Newtro marketing and suggested implications.

• Journal of Distribution Science
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• v.21 no.7
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• pp.11-20
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• 2023

Purpose: The development of e-commerce in the marketplace is becoming a big trend, but there is a handful of research about the unique characteristics of e-commerce. Online distribution has several differences from offline, such as consumer approach, payment, and product assortment. In addition to the relationship between quality factors and e-commerce satisfaction, this study research how brand awareness affects consumer satisfaction and which quality factor affects brand awareness. Research design, data, and methodology: This study conducted a survey on 457 customers using top online shopping malls. As for the analysis method, multiple regression analysis to verify the mediating effect. Results: All quality factors and brand awareness affect consumer satisfaction. Among the quality factors, only price, payment, and delivery had an effect among the four factors. As a result of verifying the mediating effect of brand awareness in the relationship between online shopping mall quality factors and consumer satisfaction, price, payment, and delivery showed mediating effects. Conclusion: Online shopping mall satisfaction affects the satisfaction of brand awareness consumers perceive aside from consumers' direct experience. The result showed that price, payment, and delivery were significant in the relationship of quality factor and brand awareness of an online shopping malls.

• Clean Technology
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• v.29 no.2
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• pp.145-150
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• 2023

Tele-metering systems have been useful tools for managing domestic wastewater treatment plants (WWTP) over the last decade. They mostly generate water quality data for discharged water to ensure that it complies with mandatory regulations and they may be able to produce every operation parameter and additional measurements in the near future. A sub-big data group, comprised of about 150,000 data points from four domestic WWTPs, was ready to be classified and also analyzed to optimize the WWTP process. We used the Statistical Product and Service Solutions (SPSS) 25 package in order to statistically treat the data with linear regression and correlation analysis. The major independent variables for analysis were water temperature, sludge recycle rate, electricity used, and water quality of the influent while the dependent variables representing the water quality of the effluent included the total nitrogen, which is the most emphasized index for discharged flow in plants. The water temperature and consumed electricity showed a strong correlation with the total nitrogen but the other indices' mutual correlations with other variables were found to be fuzzy due to the large errors involved. In addition, a multilayer perceptron analysis method was applied to TMS data along with root mean square error (RMSE) analysis. This study showed that the RMSE in the SS, T-N, and TOC predictions were in the range of 10% to 20%.