Predicting future trends of media elements in hotel marketing by using Change Propensity Analysis

Lim, Hyekyung; Choi, Junho; Akhmedov, Armigon; Chung, Jellna

doi:10.1016/j.ijhm.2018.10.001

Cited by 8 publications

(8 citation statements)

References 28 publications

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“…CF is the main factor in determining the assessment process that can produce optimal performance, while S F is a secondary or supporting factor in addition to factors in the main criteria [36]- [37]. After classifying CF and S F, the next step is to determine the gap value for each criterion based on equation (2). Where we can see an example of determining the Gap value for M01 marketers in the Education criteria column, 3 minus the gap value 3 (the standard ideal value in the Education criteria) the result is 0.…”

Section: The Results Applied To Medical Companymentioning

confidence: 99%

“…Where the department is able to be compared to spearhead of the company, marketing itself has a very imperative function that is able to support the company's prosperity and profits [1]. Marketing allows interactions involving factors that provide attractiveness that are tailored to the company's strategy [2], as well as making a positive contribution through the process of developing long-term relationships through marketing interaction activities [3].…”

Section: Introductionmentioning

confidence: 99%

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Generic Decision Support Model for Determining the Best Marketer

Utama¹,

Oktafiani²

2020

Adv. sci. technol. eng. syst. j.

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For marketing company, determining the best marketing is a strategic decision. It is able to affect the companys future purposefully. The study conducted to propose a novel decision support model (DSM) for determining the best marketer. Seventeen parameters were considered into model and two methods fuzzy logic and profile-matching (PM) were combined as main method in constructing the model theoretically. The model was applied in medical appliance marketing company. It is finally also able to measure and present the best ranking of marketers that is able to make company for easily making a crucial decision.

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Section: The Results Applied To Medical Companymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Generic Decision Support Model for Determining the Best Marketer

Utama¹,

Oktafiani²

2020

Adv. sci. technol. eng. syst. j.

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“…For the measuring pair of criteria 2, there is a goodness level can be seen in Figure 5. Membership with member (X) which intersect the axis (Y) is unacceptable (U), barely acceptable (BA), just acceptable (JA), good (G), very Good (VG) with the fuzzy values are separately (1, 1, 2), (1, 2, 3), (2,3,4), (3,4,5) and (4,5,5). Furthermore, the rule bases for Idea Verbalization (IV) VS Goodness are regulated in Rule 2 or listed in Table 4.…”

Section: Weighting Value Of Fuzzymentioning

confidence: 99%

“…Marketers practically allow for customer-focused interactions by creating factors that contain attractiveness tailored to the company's strategy [2], as well as providing a positive impact through a process of developing long-term relationships based on interaction marketer activities [3]. This is able to have a stronger influence on marketing strategies and positive implications for business [3], which greatly motivate a company's growth.…”

Section: Introductionmentioning

confidence: 99%

Generic Model of Fuzzy Profile Matching for Determining the Best Marketer

Oktafiani¹

2020

IJATCSE

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Marketer is practically desirable as an imperative function to support prosperity and increase company profits, intensely for production company. Thus, a selection process for top-marketer as a motivating compensation offered by company is an interesting study to conduct. Here, this study, by operating a combination of fuzzy-logic with profile-matching method, was performed to propose a decision model to help a company in deciding a top-marketer.Step-by-step ways to merge a combination of fuzzy-logic and profile-matching methods will be verified to decide feasibility of a top-marketer. Where through this method, marketers who have ideal standards that are in accordance with the needs of the company will be determined scientifically. Thru piece-by-piece mathematical procedure, five examples of selected-parameter, and then realized in two top-marketers selection case, purposely in medical equipment distribution company, are delivered as an example of measurement.

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“…UGC on various social media platforms commonly consists of basic media elements, e.g., text, picture, audio and video [6]. According to the media richness theory [7], a video, that is a multimedia presentation, has great advantage on conveying the meaning of conditional events and facilitating understanding through the establishment of logical connections between symbolic systems, compared to text, picture and audio alone.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Variable-Scale Clustering Method for Social Media Marketing on User Generated Instant Music Video

Gao

2019

Teh. vjesn.

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Social media has already become one of the mainstream enterprise marketing channels recently. That consists of various media elements, such as text, picture, and even newly developed instant music video etc. Although several text or picture mining techniques could be directly utilized to analyse online user comments, few researches focus on how to improve the marketing performance of social media platforms through a multimedia approach. Therefore, this paper studies the social media marketing problem of user generated instant music video. A hybrid variable-scale clustering algorithm (HVSC) is proposed to analyse user feature through both textual and video content. Combining with the information dissemination characteristics of social media platforms, we also put forth a marketing strategy that intensively enlarges the transmission audience of influential UGC videos. Experiment results show that the HVSC is able to support managers to discover the target potential customer base of each UGC video following their music preference and current interest/concerns. Finally, according to the content relevance and customer influence, the video producers' incentive mechanism is further discussed.

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Predicting future trends of media elements in hotel marketing by using Change Propensity Analysis

Cited by 8 publications

References 28 publications

Generic Decision Support Model for Determining the Best Marketer

Generic Decision Support Model for Determining the Best Marketer

Generic Model of Fuzzy Profile Matching for Determining the Best Marketer

Hybrid Variable-Scale Clustering Method for Social Media Marketing on User Generated Instant Music Video

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