scholarly journals Features of Marketer-Generated Content Tweets For Electronic Word of Mouth in Banking Context

2018 ◽  
Vol 3 (1) ◽  
pp. 82 ◽  
Author(s):  
Natnaree Weerawatnodom ◽  
Nattapat Watanapa ◽  
Bunthit Watanapa
Keyword(s):  
Logistic Regression ◽  
Association Rule ◽  
Word Of Mouth ◽  
Apriori Algorithm ◽  
Electronic Word Of Mouth ◽  
Short Term ◽  
Analysis Process ◽  
Key Features ◽  
Twitter Mining

This study aims to identify the features of Market-Generated Content (MGC) tweets that are posted with a purpose of initiating electronic word of mouth (known as eWOM). A successful tweet is a tweet that earns active participation from the customers, e.g. getting Retweeted (RT) or Favorited (FAV). The phenomenon of eWOM effectively helps to propagate marketing agendas in both short-term marketing campaigns and long-term brand awareness. In the analysis process, logistic regression and Association rule methods were applied to mine the significant features on the MGC posts which were collected from four selected banks in Thailand during a specific period of time. For results, logistic regression indicated a set of features that causes a substantial number of RT and FAV. Additionally, the Apriori algorithm of the Association rule further specified two key features for effective RT and FAV, and it also suggested how to combine other features with those two key features to enhance the gain of RT and FAV.Keywords: electronic Word of Mouth, eWOM, Marketer-Generated Content, MGC, Logistic regression, Association rule, Social media, Twitter mining.

scholarly journals Predicting Incidence of Long-term Care Insurance Certification in Japan with the Kihon Checklist for Frailty Screening Tool: Analysis of Local Government Survey Data

2020 ◽  
Author(s):  
Kumiko Ito ◽  
Hisashi Kawai ◽  
Harukazu Tsuruta ◽  
Shuichi Obuchi
Keyword(s):  
Logistic Regression ◽  
Local Government ◽  
Long Term Care ◽  
Multiple Logistic Regression ◽  
Short Term ◽  
Term Care ◽  
Specificity And Sensitivity ◽  
Long Term Care Insurance ◽  
Level 1

Abstract Background: Predicting incidence of long-term care insurance (LTCI) certification in the short term is of increasing importance in Japan. The present study examined whether the Kihon Checklist (KCL) can be used to predict incidence of LTCI certification (care level 1 or higher) in the short term among older Japanese persons.Methods: In 2015, the local government in Tokyo, Japan, distributed the KCL to all individuals older than 65 years who had not been certified as having a disability or who had already been certified as requiring support level 1–2 according to LTCI system. We also collected LTCI certification data within the 3 months after collecting the KCL data. The data of 17785 respondents were analyzed. First, we selected KCL items strongly associated with incidence of LTCI certification, using stepwise forward-selection multiple logistic regression. Second, we conducted receiver operating characteristic (ROC) analyses for three conditions (1: Selected KCL items, 2: The main 20 KCL items (nos. 1–20), 3: All 25 KCL items). Third, we estimated specificity and sensitivity for each condition.Results: During a 3-month follow-up, 81 (0.5%) individuals required new LTCI certification. Eight KCL items were selected by multiple logistic regression as predictive of certification. The area under the ROC curve in the three conditions was 0.92–0.93, and specificity and sensitivity for all conditions were greater than 80%.Conclusions: Three KCL conditions predicted short-term incidence of LTCI certification. This suggests that KCL items may be used to screen for the risk of incident LTCI certification.

Countering the detrimental influence of negative electronic word of mouth on brands : effects of brand feedback, stability and controllability of the cause of the problem on brand attitudes and purchase intentions

2015 ◽  
Author(s):  
◽  
Manu Bhandari
Keyword(s):  
Word Of Mouth ◽  
Purchase Intentions ◽  
Discussion Board ◽  
Product Reviews ◽  
Electronic Word Of Mouth ◽  
Brand Attitudes ◽  
Buying Behavior ◽  
Short Term ◽  
Online Product Reviews ◽  
Summary Judgment

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] We know that online word of mouth, also called electronic word of mouth (eWOM), such as online product reviews or discussion board posts, about various products and services has a strong influence consumers' buying behavior online. For instance, one may have gone to Amazon.com or ebay.com to buy a product and decided against buying the product because of many negative reviews about that product. Research has already found that such negative product reviews or eWOM negatively influence consumers' summary judgment about brands and buying behavior (i.e., makes consumers not buy a product). However, research has not adequately studied what happens when brands or advertisers also provide a response to the reviewer writing the negative product review. This study therefore examines what happens to people's summary judgement about a brand (i.e., brand attitudes) and intentions to purchase a particular product (i.e., purchase intentions) if brands also provide a response or a \"brand feedback\" to a negative review or eWOM in an online retail context. The study also looks at whether brand feedback's effect is differently for different types of reviews, such as when the reviews talk about a problem that is under the brand's control (e.g., brand negligence) versus when it's under the reviewer's own control (e.g., reviewer dropped the purchased device). Also, when the problem described in the review is of a long-lasting nature (stable) versus short-term nature (unstable). This study is important because so far we do not have a good understanding about whether a brand's participation in the online product reviews or eWOM context can influence potential consumers' thought patterns about the brands and purchase behavior. The study's findings show that brand feedback is most effective in increasing summary judgment about a brand and purchase intentions when such brands provide a feedback to a negative review describing a problem controlled by the brand and of a short-term nature.

scholarly journals Predicting incidence of long-term care insurance certification in Japan with the Kihon Checklist for frailty screening tool: analysis of local government survey data

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kumiko Ito ◽  
Hisashi Kawai ◽  
Harukazu Tsuruta ◽  
Shuichi Obuchi
Keyword(s):  
Logistic Regression ◽  
Local Government ◽  
Long Term Care ◽  
Multiple Logistic Regression ◽  
Short Term ◽  
Term Care ◽  
Specificity And Sensitivity ◽  
Long Term Care Insurance ◽  
Level 1

Abstract Background Predicting incidence of long-term care insurance (LTCI) certification in the short term is of increasing importance in Japan. The present study examined whether the Kihon Checklist (KCL) can be used to predict incidence of LTCI certification (care level 1 or higher) in the short term among older Japanese persons. Methods In 2015, the local government in Tokyo, Japan, distributed the KCL to all individuals older than 65 years who had not been certified as having a disability or who had already been certified as requiring support level 1–2 according to LTCI system. We also collected LTCI certification data within the 3 months after collecting the KCL data. The data of 17,785 respondents were analyzed. First, we selected KCL items strongly associated with incidence of LTCI certification, using stepwise forward-selection multiple logistic regression. Second, we conducted receiver operating characteristic (ROC) analyses for three conditions (1: Selected KCL items, 2: The main 20 KCL items (nos. 1–20), 3: All 25 KCL items). Third, we estimated specificity and sensitivity for each condition. Results During a 3-month follow-up, 81 (0.5%) individuals required new LTCI certification. Eight KCL items were selected by multiple logistic regression as predictive of certification. The area under the ROC curve in the three conditions was 0.92–0.93, and specificity and sensitivity for all conditions were greater than 80%. Conclusions Three KCL conditions predicted short-term incidence of LTCI certification. This suggests that KCL items may be used to screen for the risk of incident LTCI certification.

scholarly journals Pengaruh Electronic Word of Mouth dan Potongan Harga terhadap Pembelian Impulsif Suatu Produk Skincare

2021 ◽  
Vol 9 (3) ◽  
pp. 844-851
Author(s):  
Triana Ariska Wulandari ◽  
Muhamad Ikhsanul Insan ◽  
Ajat Sudrajat
Keyword(s):  
Quantitative Research ◽  
Word Of Mouth ◽  
Positive Influence ◽  
Primary Data ◽  
Electronic Word Of Mouth ◽  
Price Discounts ◽  
Analysis Process ◽  
Impulsive Buying ◽  
The City ◽  
Potential Customers

One of the business fields in the field of secondary/tertiary needs that is growing quite rapidly in Indonesia and the city of Karawang, to be precise, is the business in cosmetics. One of the cosmetic fields that are experiencing improvement is skincare. One of the marketing techniques that companies use to attract consumers is Electronic Word Of Mouth or eWOM. In addition, the factor of price discounts can also greatly influence the purchase decision of a product by potential customers and correlates with eWOM, as in e-commerce in Indonesia which always provides discount programs on specific dates. The purpose of this research is to determine whether there is a positive effect of eWOM and Discount on impulsive purchase of skincare products. The method used in this research is the quantitative research method. The data analysis process used the IBM SPSS 21 Software, which processed the data using primary data sources and a questionnaire as the instrument. The interpretation is that there is a positive influence given by two variables independent, namely Electronic Word of Mouth and Discount, on the impulsive buying process of mediheal skincare sheet masks partially and simultaneously.

scholarly journals Pengaruh Keinginan Pasangan Usia Subur (Pus) dalam Penggunaan Metode Kontrasepsi Jangka Panjang

2017 ◽  
Vol 5 (1) ◽  
pp. 27
Author(s):  
Sumartini Sumartini ◽  
Diah Indriani
Keyword(s):  
Logistic Regression ◽  
Family Planning ◽  
Family Support ◽  
Contraceptive Method ◽  
Health Workers ◽  
Sampling Technique ◽  
Reproductive Age ◽  
Short Term ◽  
The Family

One of the most eff ective eff ort in the family planning program was to control fertilitas and press the population growth rate was used contraception. In the area of Puskesmas Pacar Keling Surabaya interest of acceptor which used short term contraceptive method still high than long term contraceptive method. This research used analytical observational study with case control methods. The population is all woman reproductive age couples aged 15-49 years old in the area of Puskesmas Pacar Keling Surabaya. Sampling technique used two stage random sampling and got 90 respondent. The variables were age, knowledge, side eff ects, desire to have a child again, husband and family support. Data were analyzed with multiple logistic regression with al level of signifi cance value α= 0,05. The result of logistic regression analysis signifi cant variables were age (p= 0,002), side eff ects (p= 0,005), desire to have a child again (p= 0,028), husband and family support (p= 0,008). Conclusion of research is that age, side effects, desire to have more children, husband and family support infl uencing reproductive age couples using long term contraceptive methods. This research suggest health workers provide Counselling and information about Family Planning to reproductive age couples specially they were 20-30 years old about explanation of the use of long term contraception method.

scholarly journals Real-World Effectiveness of Smoking Cessation Strategies for Young and Older Adults: Findings From a Nationally Representative Cohort

2019 ◽  
Vol 22 (9) ◽  
pp. 1560-1568 ◽  
Author(s):  
Shannon Lea Watkins ◽  
Johannes Thrul ◽  
Wendy Max ◽  
Pamela M Ling
Keyword(s):  
Older Adults ◽  
Smoking Cessation ◽  
Young Adults ◽  
Logistic Regression ◽  
Older Adult ◽  
Evidence Based ◽  
Product Substitution ◽  
Short Term ◽  
Behavioral Support

Abstract Introduction Young adults have high combustible cigarette and e-cigarette use rates, and low utilization of evidence-based smoking cessation strategies compared to older adults. It is unknown whether young adults who try to quit smoking without assistance, with evidence-based strategies, or with e-cigarettes, are equally successful compared to older adults. Aims and Methods This analysis used a population-based sample from the Population Assessment of Tobacco and Health study of young adult (aged 18–24, n = 745) and older adult (aged 25–64, n = 2057) established cigarette smokers at Wave 1 (2013–2014) who reported having made a quit attempt at Wave 2 (2014–2015). Cessation strategies were: behavioral therapy, pharmacotherapy, product substitution, 2+ strategies, and unassisted. Logistic regression estimated associations between cessation strategy and short-term cessation status at Wave 2 (quit, no quit); multinomial logistic regression predicted long-term cessation patterns at Waves 2 and 3 (sustained quit, temporary quit, delayed quit, no quit). Results No cessation strategy (ref: unassisted) significantly predicted short-term cessation. No cessation strategy (ref: unassisted) significantly predicted long-term cessation patterns for young adults. Substitution with e-cigarettes predicted short-term cessation for older daily smokers of ≥5 cigarettes/day (adjusted odds ratio [AOR]: 1.70; 95% confidence interval: 1.08, 2.67) but did not predict long-term cessation patterns. Conclusions Despite differences in cessation strategy use between young and older adult smokers, strategy effectiveness largely did not differ by age group. No strategy examined, including e-cigarettes, was significantly associated with successful cessation for young adults. More work is needed to identify effective interventions that help young adult smokers quit. Implications (1) Neither behavioral support, pharmacotherapy, nor product substitution was associated with short-term cessation for young or older adults compared to quitting unassisted. (2) Neither behavioral support, pharmacotherapy, nor product substitution was associated with longer-term cessation for young or older adults compared to quitting unassisted. (3) Substitution with e-cigarettes predicted short-term cessation for older daily smokers of ≥5 cigarettes/day but was not associated with longer-term cessation.

CORONARY THROMBOLYSIS AND PREVENTION OF RE0CCLUSI0N WITH RECOMBINANT DOUBLECHAIN TISSUE PLASMINOGENACTIVATOR

1987 ◽  
Author(s):  
R Kent
Keyword(s):  
Logistic Regression ◽  
Coronary Angiography ◽  
Vascular Invasion ◽  
Initial Rate ◽  
Double Chain ◽  
Short Term ◽  
Future Studies ◽  
Tissue Plasminogen ◽  
Dosing Regimens

The dose response (DR) of tissue plasminogen activator (t-PA) in patients (pts) with acutemyocardial infarction (AMI) and the efficacy of 4-6 hr maintenance infusions (M) of t-PA in preventing early reocclusion (R) have been reported in small numbers of pts. No studies have determined the efficacy of longer M in limiting short term R.In two related trials weexamined DR and long term M in a large numberof pts. We administered a uniform t-PA product [>98% double chain (DC)] to 223 pts 3.1 ±1.1 hrs after the onset of AMI.Pts received 0.25 - 0.95 megaunits (MU)/kg/90min and then underwent coronary angiography(CA):Responders were defined by TIMI grades 2 or 3. Results were In a logistic regression anaylsis the coefficient for dose was significant(p<.02). Two subsets of the above pts received M. Groups A (4l pts) and B (51 pts) had received 0.26 - 0.40 and 0.4l - 0.54 MU/kg/90 min respectively. 66% of A and 78%of B were responders, received an additional 90 minof t-PA at 1/3 the initial rate and then 1 of4 M for 9-21 hrs (mean total 17.2±4.5 hrs) at which time CA was repeated. Results for A + B were:For all pts fibrinogen decreases were mild. Bleeding was primarily related to vascular invasion and M length. We conclude that the DR for DC tPA can be accurately defined and long term M to limit .short term R are feasible. Future studies may define t-PA dosing regimens suited for specific clinical situations.

scholarly journals Predicting Incidence of Long-term Care Insurance Certification in Japan with the Kihon Checklist for Frailty Screening Tool: Analysis of Local Government Survey Data

2020 ◽  
Author(s):  
Kumiko Ito ◽  
Hisashi Kawai ◽  
Harukazu Tsuruta ◽  
Shuichi Obuchi
Keyword(s):  
Logistic Regression ◽  
Local Government ◽  
Long Term Care ◽  
Multiple Logistic Regression ◽  
Short Term ◽  
Term Care ◽  
Specificity And Sensitivity ◽  
Long Term Care Insurance ◽  
Level 1

Abstract Background: Predicting incidence of long-term care insurance (LTCI) certification in the short term is of increasing importance in Japan. The present study examined whether the Kihon Checklist (KCL) can be used to predict incidence of LTCI certification (care level 1 or higher) in the short term among older Japanese persons.Methods: In 2015, the local government in Tokyo, Japan, distributed the KCL to all individuals older than 65 years who had not been certified as having a disability or who had already been certified as requiring support level 1–2 according to LTCI system. We also collected LTCI certification data within the 3 months after collecting the KCL data. The data of 17785 respondents were analyzed. First, we selected KCL items strongly associated with incidence of LTCI certification, using stepwise forward-selection multiple logistic regression. Second, we conducted receiver operating characteristic (ROC) analyses for three conditions (1: Selected KCL items, 2: The main 20 KCL items (nos. 1–20), 3: All 25 KCL items). Third, we estimated specificity and sensitivity for each condition.Results: During a 3-month follow-up, 81 (0.5%) individuals required new LTCI certification. Eight KCL items were selected by multiple logistic regression as predictive of certification. The area under the ROC curve in the three conditions was 0.92–0.93, and specificity and sensitivity for all conditions were greater than 80%.Conclusions: Three KCL conditions predicted short-term incidence of LTCI certification. This suggests that KCL items may be used to screen for the risk of incident LTCI certification.

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