<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="research-article"><front><journal-meta><journal-id journal-id-type="issn">2287-0718</journal-id><journal-title-group><journal-title>Indonesian Journal of Business Analytics (IJBA)</journal-title><abbrev-journal-title>Indonesian Journal of Business Analytics (IJBA)</abbrev-journal-title></journal-title-group><issn pub-type="epub">2287-0718</issn><issn pub-type="ppub">2302-0718</issn><publisher><publisher-name>Formosa Publisher</publisher-name><publisher-loc>Jl. Sutomo Ujung No.28 D, Durian, Kecamatan Medan Timur, Kota Medan, Sumatera Utara 20235, Indonesia.</publisher-loc></publisher></journal-meta><article-meta><article-categories><subj-group><subject>10.55927/ijba.v5i3.14564</subject></subj-group></article-categories><title-group><article-title>Do  People  Buy  Because  They  Are  Afraid  of  Missing  Out?  A  Case  Study  of 
 Jalan Flamboyan Manado</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Jayanti</surname><given-names>Ni Kadek Meivi</given-names></name></contrib><contrib contrib-type="author"><name><surname>Lelengboto</surname><given-names>Abraham Leslie Petir</given-names></name></contrib></contrib-group><pub-date date-type="collection" iso-8601-date="2025-6-12"><day>12</day><month>6</month><year>2025</year></pub-date><volume>5</volume><issue>3</issue><issue-title>Do  People  Buy  Because  They  Are  Afraid  of  Missing  Out?  A  Case  Study  of  Jalan Flamboyan Manado</issue-title><fpage>2273</fpage><lpage>2286</lpage><history><date date-type="received" iso-8601-date="2025-4-21"><day>21</day><month>4</month><year>2025</year></date><date date-type="rev-recd" iso-8601-date="2025-5-16"><day>16</day><month>5</month><year>2025</year></date><date date-type="accepted" iso-8601-date="2025-6-10"><day>10</day><month>6</month><year>2025</year></date></history><permissions><copyright-holder>Formosa Publisher</copyright-holder><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://journal.formosapublisher.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><self-uri xlink:href="https://journal.formosapublisher.org/index.php/ijba" xlink:title="Do  People  Buy  Because  They  Are  Afraid  of  Missing  Out?  A  Case  Study  of   Jalan Flamboyan Manado">Do  People  Buy  Because  They  Are  Afraid  of  Missing  Out?  A  Case  Study  of 
 Jalan Flamboyan Manado</self-uri><abstract><p>The increasing popularity of Jalan Flamboyan as a culinary destination in Manado City is largely driven  by  social  media  promotions,  particularly through user-generated reviews that influence consumer behavior. This study aims to examine the impact of Electronic Word of Mouth (E-WOM) on Purchase Intention, with Fear of Missing Out (FOMO) acting as a mediating variable. Employing a quantitative research design, data were collected from 180 respondents using structured questionnaires and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The  findings  indicate  that  E-WOM  significantly influences FOMO (path coefficient = 0.29) and directly affects Purchase Intention (path coefficient = 0.68). Furthermore, FOMO has a significant direct impact  on  Purchase  Intention  (path  coefficient  = 0.331) and serves as a complementary mediator in the  relationship  between  E-WOM  and  Purchase Intention.  The  results  suggest  that  online  reviews not only shape consumer perceptions but also trigger emotional responses such as FOMO, which in turn enhance purchase intentions. These insights highlight the strategic importance of leveraging E-WOM and urgency-based marketing approaches to effectively drive consumer engagement and conversion.</p></abstract><kwd-group><kwd>E-WOM</kwd><kwd>FOMO</kwd><kwd>Purchase Intention</kwd><kwd>Flamboyan</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>File created by JATS Editor</meta-name><meta-value><ext-link ext-link-type="uri" xlink:href="https://jatseditor.com" xlink:title="JATS Editor">JATS Editor</ext-link></meta-value></custom-meta><custom-meta><meta-name>issue-created-year</meta-name><meta-value>2025</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec><title>INTRODUCTION</title><p>The Micro, Small, and Medium Enterprises (MSME) sector in Manado City has experienced significant growth in recent years. Umboh et al. (2022) indicate that this acceleration is driven by Manado’s economic growth, which has outpaced other cities and regencies in North Sulawesi Province. According to data from BPS (2024), the number of MSME actors increased consistently by 30% from 2020 to 2023, with an addition of 2,869 business units, bringing the total number of MSMEs in Manado to 5,102 units in 2023. This growth reflects a strengthening local economy that is becoming increasingly inclusive and expanding across various sectors, including the culinary and lifestyle industries, largely driven by the younger generation.</p><p>One notable example of this MSME expansion is Flamboyan Street in Sario District, Manado, which has become a hub for MSME agglomeration <xref ref-type="bibr" rid="">(Rarumangkey, 2023)</xref>. Initially home to only one coffee shop and one eatery in mid-2022, the area underwent rapid transformation after being promoted by a social media influencer. Within six months, the area saw a significant increase in visitor traffic, especially at night, which spurred the rapid growth of MSMEs— particularly coffee shops targeting young consumers <xref ref-type="bibr" rid="">(Guhuhuku, 2023)</xref>. The average daily visitor count reached 200,000, especially on weekends <xref ref-type="bibr" rid="">(Bisnismanado, 2023)</xref>, making the area a center for youth social interaction. The modern atmosphere and trendy appeal of the area further enhance consumer purchase intention <xref ref-type="bibr" rid="">(Sasauw, 2023)</xref>.</p><p>Several previous studies have examined similar phenomena in the context of MSMEs and social media. Mettan &amp; Sancoko (2021) found that short-form content (ephemeral content) and digital testimonials (E-WOM) effectively drive millennials’ purchase intentions toward MSME culinary products in Surabaya. Komaling &amp; Taliwongso (2023) showed that E-WOM on TikTok positively influences brand image, which in turn increases customer purchase intention. Meanwhile, Luthfiyatillah et al. (2020) emphasized that although E-WOM significantly affects purchase intention, it does not directly influence purchase decisions; instead, the effect is mediated by purchase intention. These studies reinforce the understanding that E-WOM plays a powerful role in shaping perception and purchase intention, particularly in digital contexts.</p><p>Unlike previous studies, this research specifically analyzes the influence of electronic word of mouth (E-WOM) on purchase intention, with fear of missing out (FOMO) as a mediating variable. The study aims to determine the extent to which recommendations or information shared through electronic media can motivate consumers to make purchases, especially when they experience anxiety about missing out on valuable opportunities. This aligns with Social Comparison Theory <xref ref-type="bibr" rid="">(Panger, 2014)</xref>, which explains that individuals tend to compare themselves with others as a benchmark for self-evaluation. Social media amplifies this phenomenon, as the happiness and achievements of others displayed on digital platforms can drive individuals to pursue similar experiences. Jabeen et al. (2023) also found that FOMO triggered by social media is driven by anxiety and time pressure, which can lead to social comparison behavior and narcissistic admiration, ultimately influencing user behavior.</p><p>Reviews, photos, and videos of culinary experiences on Flamboyan Street that have gone viral on social media create a psychological effect that encourages people to try them for themselves <xref ref-type="bibr" rid="">(Rarumangkey, 2023)</xref>. Unconsciously, individuals feel a strong urge to participate due to fear of being left out of ongoing social trends. This aligns with McGinnis (2004) definition of FOMO as the anxiety of missing out on important information or moments, especially when comparing oneself to others whose experiences appear more enjoyable on social media. Xi et al. (2022) further add that FOMO can drive individuals— particularly those with high self-esteem—to post products that reflect their identity on social media to gain social support. In line with this, Schiffman et al. (2010) states that purchase intention is a key indicator in predicting the likelihood of someone buying a particular product. Roozy et al. (2014) reinforce that purchase intention includes the desire to buy, considerations in the decision- making process, and the likelihood of recommending the product to others. Therefore, this study aims to comprehensively explore the relationship between E-WOM, FOMO, and consumer purchase intention in the Flamboyan Street area of Manado City.</p><sec><title>Social Comparison Theory</title><p>According to Panger (2014), social comparison theory suggests that individuals tend to evaluate themselves by comparing with others to determine whether they are in a favorable or unfavorable condition, which in turn influences their subsequent behaviors. McCrae &amp; Costa Jr (2006) add that the outcomes of such comparisons can affect emotional stability, especially when individuals fail to adapt to the social standards used as a basis for comparison, potentially leading to anxiety. Festinger (1954) originally proposed that social comparison is a human tendency to evaluate abilities, opinions, and feelings by comparing oneself to others. The more frequently individuals engage in such comparisons, the greater the anxiety they may feel when others appear to be living more appealing lives.</p><p>In the context of social media, this theory helps explain how people use reviews or recommendations as a form of social evaluation. Social media acts as a constant reminder that one’s happiness may not match the curated happiness displayed by others, prompting individuals to imitate what they see in pursuit of similar satisfaction <xref ref-type="bibr" rid="">(Festinger, 1954)</xref>. D’Lima &amp; Higgins (2021) found a positive correlation between social comparison and fear of missing out (FOMO), where individuals who perceive others as having better life experiences tend to develop anxiety and a desire for similar social validation.</p></sec><sec><title>Electronic Word of Mouth (E-WOM)</title><p>The advancement of internet and communication technologies has gradually shifted traditional word-of-mouth practices into a digital form known as electronic word of mouth (E-WOM). Hennig-Thurau et al. (2004) define E- WOM as any positive or negative statement made by consumers, potential consumers, or former consumers about a product or company, shared via the internet. Similarly, Westbrook (1987) describe E-WOM as informal</p><p>communication through digital platforms regarding the characteristics of products, services, or sellers.</p><p>Nasution et al. (2024) emphasize that consumers tend to trust social media reviews more than traditional advertisements. Platforms such as TikTok, Instagram, and Facebook enable rapid and widespread dissemination of information, allowing individual opinions to reach millions—especially when content goes viral, as seen in the case of Flamboyan Street <xref ref-type="bibr" rid="">(Sasauw, 2023)</xref>. E- WOM is a highly effective tool in shaping perceptions and influencing purchasing decisions due to its strong social influence. Chu &amp; Kim (2011) explain that social media fosters virtual communities that reinforce the tendency to follow majority opinions. The abundance of positive reviews about Flamboyan on various platforms attracts more users to visit the location. On the other hand, Litvin et al. (2008) caution that the anonymity of E-WOM can lead to misleading or out-of-context comments. Nevertheless, E-WOM remains a vital component of digital marketing strategies due to its ability to influence consumer perception and behavior.</p><p>H1: E-WOM (X1) has a significant effect on FOMO (Y).</p><p>H2: E-WOM (X1) has a significant effect on Purchase Intention (Y).</p></sec><sec><title>Fear of Missing Out (FOMO)</title><p>FOMO was first introduced in 2004 to describe the anxiety individuals feel when they perceive that others are experiencing valuable opportunities without them <xref ref-type="bibr" rid="">(Gupta &amp;</xref> <xref ref-type="bibr" rid="">Sharma, 2021)</xref>. FOMO involves two main aspects: the fear that others are enjoying better experiences, and the urge to stay socially connected. Ryan &amp; Deci (2000) describe FOMO as a psychological process triggered by threats to social relationships, which leads to impulsive actions to maintain connection. Przybylski et al. (2013) reinforces that FOMO is a negative emotional state arising from unmet social needs, where individuals feel excluded from socially valuable experiences.</p><p>Social media intensifies this phenomenon by creating the illusion that others are happier and more successful, leading to feelings of inadequacy and dissatisfaction. Alt &amp; Boniel-Nissim (2018) note that this anxiety drives individuals to monitor others’ activities intensively to ensure they are not missing out on current trends or social experiences. This phenomenon influences purchasing decisions, as individuals are motivated to buy products perceived as popular or used by their social groups to avoid social exclusion. In the context of Flamboyan’s viral popularity on social media, FOMO emerges as an emotional response that encourages consumers to make purchases to remain relevant within their communities.</p><p>H3: FOMO (Y) has a significant effect on Purchase Intention (Y).</p></sec><sec><title>Purchase Intention</title><p>Purchase intention refers to the internal drive within consumers to buy a product, influenced by positive perceptions and external stimuli. Kotler (2001) defines purchase intention as a strong desire triggered by internal and external motivations to act. Kotler &amp; Keller (2012) describe it as a behavioral response toward an object that reflects the willingness to make a purchase. It is formed</p><p>through a series of psychological processes involving perception, attitude, and evaluation of product information.</p><p>Cesario et al. (2004) emphasizes that purchase intention reflects a clear plan regarding the type and quantity of a product to be purchased, usually to meet specific needs. To support this decision, consumers often seek external information, such as customer reviews on social media. Xu &amp; Chan (2010), Wang &amp; Wang (2010), and Park &amp; Lee (2008) argue that purchase intention is heavily influenced by E-WOM, as information shared by other consumers is perceived as more authentic and trustworthy. Based on this explanation, it can be concluded that both E-WOM and FOMO play a role in shaping purchase intentions.</p><p>H4: FOMO mediates the effect of E-WOM on Purchase Intention (Y).</p></sec><sec><title>Figure 1 – Conceptual framework</title><fig id="figure-1"><label>Figure 1 – Conceptual framework</label><graphic xlink:href="Indonesian_Journal_of_Business_Analytics_IJBA-5-3-2273-g1.tif" mimetype="image" mime-subtype="tif"><alt-text>Image</alt-text></graphic></fig></sec></sec><sec><title>METHODOLOGY</title><p>This study adopts a quantitative approach with a descriptive design to examine the effect of Electronic Word of Mouth (E-WOM) on Purchase Intention, with Fear of Missing Out (FOMO) as a mediating variable. The quantitative approach enables objective measurement of variables and appropriate statistical analysis to test relationships between variables through surveys (Babbie, 2016; Malhotra, 2009; Syahrizal &amp; Jailani, 2023). Primary data were collected using an online questionnaire with a five-point Likert scale and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to produce generalizable findings <xref ref-type="bibr" rid="">(Hair et al., 2019)</xref>. The study population consisted of individuals active in the Flamboyan Street area and on social media, with samples selected using convenience sampling based on accessibility and relevance criteria <xref ref-type="bibr" rid="">(Etikan et al., 2015)</xref>. A minimum sample size of 107 respondents was determined using G*Power calculations to ensure statistical power <xref ref-type="bibr" rid="">(Hair et al., 2019)</xref>. Data collection was conducted online via Google Forms to facilitate respondent participation and expedite the process.</p><p>Data analysis was performed using PLS-SEM with SmartPLS software, which allows for testing causal relationships between latent variables without assuming data normality <xref ref-type="bibr" rid="">(Ghozali, 2008</xref> <xref ref-type="bibr" rid="">Hair et al., 2019)</xref>. Instrument validity and reliability were assessed using the outer model, including indicators such as Cronbach’s Alpha, Composite Reliability, outer loadings, Average Variance Extracted (AVE), and discriminant validity (Fornell &amp; Larcker, 1981; Hair et al., 2017; Umar, 2008). A collinearity test (VIF) was also conducted to ensure the absence of multicollinearity among predictor variables <xref ref-type="bibr" rid="">(Hair et al., 2019)</xref>. Structural model analysis was then carried out by examining path coefficients, t- statistics, and R-square values to determine the strength and significance of relationships between variables <xref ref-type="bibr" rid="">(Hair et al., 2019)</xref>. The significance of relationships was tested using p-values, with a 5% threshold (p &lt; 0.05) as the criterion for determining path significance <xref ref-type="bibr" rid="">(Hair et al., 2019)</xref>. Standardized root mean square residual (SRMR) is serve as an indicator of overall model fit, with value below 0.10 (&lt;0.10) is considered accepted although SRMR &lt; 0.08 is categorized as best fitted <xref ref-type="bibr" rid="">(Hair et al., 2019)</xref>. The evaluation criteria included a minimum outer loading of 0.70, Cronbach’s Alpha and Composite Reliability above 0.70, and AVE of at least 0.50 to ensure the instrument met validity and reliability standards (Fornell &amp; Larcker, 1981; Hair et al., 2019).</p></sec><sec><title>RESULT AND DISCUSSION</title><p>In this study, demographic profile analysis aims to provide a general overview of the characteristics of the respondents who participated. This information is essential for understanding consumer behavior patterns in the Flamboyan Street area, particularly in examining how Electronic Word of Mouth (E-WOM) and Fear of Missing Out (FOMO) influence Purchase Intention. Data were collected through an online questionnaire distributed via Google Forms, using a convenience sampling method, which resulted in 180 respondents. This number exceeds the minimum sample size determined through G*Power analysis to ensure statistical power <xref ref-type="bibr" rid="">(Hair et al., 2019)</xref>. Tables 1 to 4 summarize the respondents’ characteristics based on gender, occupation, generation, frequency of visits, and purpose of visit.</p><p>Gender was analyzed due to potential differences in perceptions of E- WOM, FOMO, and purchasing decisions between males and females. Of the 180 respondents, 70 (38.89%) were male and 110 (61.11%) were female, indicating that the majority of respondents were women. Respondents’ ages were categorized into two generational groups: Millennials (born 1981–1996), comprising 22 individuals (12.22%), and Generation Z (born 1997–2012), comprising 158 individuals (87.78%). These generations were selected due to their strong association with digital activity and a higher tendency toward FOMO, particularly in the context of purchasing behavior on Flamboyan Street.</p><p>Respondents were classified into five occupational groups, with students forming the largest group (136 individuals), followed by other categories. Among the students, 90 were female and 46 were male. In terms of visit frequency, 79 respondents (43.89%) had visited Flamboyan Street 1–5 times, 52 respondents (28.89%) had visited 6–10 times, and 49 respondents (27.22%) had visited more than 20 times. This indicates a diversity in visit intensity, with both new and loyal visitors represented. The most common purpose of visit was a combination of coffee shops and street food stalls (78 respondents), followed by visits solely for street food (46 respondents), and visits exclusively to coffee shops (37 respondents). These preferences suggest that the culinary combination is the main attraction for visitors.</p><sec><title>Table 1 <italic>–</italic> Gender and Occupancy</title><table-wrap id="table-z19u6j"><label>Table 1 – Gender and Occupancy</label><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="left" valign="top">Occupancy</th><th colspan="1" rowspan="1" style="" align="left" valign="top">Male</th><th colspan="1" rowspan="1" style="" align="left" valign="top">Female</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">BUMN</td><td colspan="1" rowspan="1" style="" align="left" valign="top">4</td><td colspan="1" rowspan="1" style="" align="left" valign="top">3</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">Lainnya</td><td colspan="1" rowspan="1" style="" align="left" valign="top">11</td><td colspan="1" rowspan="1" style="" align="left" valign="top">8</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">Pelajar/Mahasiswa</td><td colspan="1" rowspan="1" style="" align="left" valign="top">46</td><td colspan="1" rowspan="1" style="" align="left" valign="top">90</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">PNS</td><td colspan="1" rowspan="1" style="" align="left" valign="top">4</td><td colspan="1" rowspan="1" style="" align="left" valign="top">3</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">aWiraswasta</td><td colspan="1" rowspan="1" style="" align="left" valign="top">5</td><td colspan="1" rowspan="1" style="" align="left" valign="top">6</td></tr></tbody></table></table-wrap><p>Source: Primary data, 2025</p></sec><sec><title>Table 2 <italic>–</italic> Gender and Generation</title><table-wrap id="table-ce2w70"><label>Table 2 – Gender and Generation</label><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="left" valign="top">Generation</th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Male</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Female</p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">Gen Milenial (1981–1996)</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>11</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>5</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">Gen Z (1997–2012)</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>59</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>105</p></td></tr></tbody></table></table-wrap><p>Source: Primary data, 2025</p></sec><sec><title>Table 3 <italic>–</italic> Gender and Total visitation</title><table-wrap id="table-ek03yt"><label>Table 3 – Gender and Total visitation</label><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="left" valign="top">Total visitation</th><th colspan="1" rowspan="1" style="" align="left" valign="top">Male</th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Female</p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">1-5 kali</td><td colspan="1" rowspan="1" style="" align="left" valign="top">29</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>50</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">6-10 kali</td><td colspan="1" rowspan="1" style="" align="left" valign="top">18</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>34</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">&gt;20 kali</td><td colspan="1" rowspan="1" style="" align="left" valign="top">23</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>26</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">Total</td><td colspan="1" rowspan="1" style="" align="left" valign="top">70</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>110</p></td></tr></tbody></table></table-wrap><p>Source: Primary data, 2025</p></sec><sec><title>Table 4 <italic>–</italic> Gender and Place</title><table-wrap id="table-4kvtrs"><label>Table 4 – Gender and Place</label><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="left" valign="top">Place</th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Male</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Female</p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">Coffe shop</td><td colspan="1" rowspan="1" style="" align="left" valign="top">24</td><td colspan="1" rowspan="1" style="" align="left" valign="top">13</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">Coffe shop, Pondok Jajan//Street Food</td><td colspan="1" rowspan="1" style="" align="left" valign="top">24</td><td colspan="1" rowspan="1" style="" align="left" valign="top">54</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Coffe shop, Pondok Jajan//Street Food, Sekedar</p><p>berkunjung</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top">3</td><td colspan="1" rowspan="1" style="" align="left" valign="top">3</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">Coffe Shop, Sekedar berkunjung</td><td colspan="1" rowspan="1" style="" align="left" valign="top">1</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">Pondok Jajan//Street Food</td><td colspan="1" rowspan="1" style="" align="left" valign="top">10</td><td colspan="1" rowspan="1" style="" align="left" valign="top">36</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">Pondok Jajan//Street Food, Sekedar berkunjung</td><td colspan="1" rowspan="1" style="" align="left" valign="top">5</td><td colspan="1" rowspan="1" style="" align="left" valign="top">3</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">Sekedar berkunjung</td><td colspan="1" rowspan="1" style="" align="left" valign="top">3</td><td colspan="1" rowspan="1" style="" align="left" valign="top">1</td></tr></tbody></table></table-wrap><p>The analysis of the research model began with a normality test. However, in the context of SEM-PLS, this test is not mandatory, as the method is non- parametric in nature. Figure 2 illustrates that the data used in this study exhibit a skewness value of 63.55 and a kurtosis value of 345.66, indicating a non-normal distribution. Therefore, SEM-PLS is considered an appropriate analytical model for addressing the research questions <xref ref-type="bibr" rid="">(Cain et al., 2017)</xref>. Construct reliability was assessed using Cronbach’s Alpha and Composite Reliability, both of which yielded satisfactory results. All constructs demonstrated values greater than 0.70 <xref ref-type="bibr" rid="">(Hair et al., 2018)</xref>, specifically 0.846 for E-WOM, 0.878 for FOMO, and 0.853 for Purchase Intention. The Composite Reliability values ranged from 0.890 to 0.910, indicating consistent and reliable measurement.</p><p>Indicator validity was evaluated through outer loading values and convergent validity, both of which met the required standards. All indicators had outer loading values above 0.70, in accordance with the criteria established by <xref ref-type="bibr" rid="">(Hair et al., 2019)</xref>, suggesting that the indicators effectively represent their respective latent constructs. Convergent validity was also confirmed, with Average Variance Extracted (AVE) values exceeding 0.50 for all constructs, as recommended by Hair et al. (2017). This indicates that more than 50% of the variance in the indicators is explained by their respective constructs. Furthermore, discriminant validity was assessed using the Heterotrait-Monotrait Ratio (HTMT), with all inter-construct values below 0.90. For instance, the HTMT value between E-WOM and FOMO was 0.786, indicating that each construct in the model is sufficiently distinct <xref ref-type="bibr" rid="">(Henseler et al., 2015)</xref>, thereby reinforcing the overall validity of the measurement model.</p><sec><title>Picture 2 – Normality Test</title><fig id="figure-1"><label>Picture 2 – Normality Test</label><graphic xlink:href="Indonesian_Journal_of_Business_Analytics_IJBA-5-3-2273-g2.tif" mimetype="image" mime-subtype="tif"><alt-text>Image</alt-text></graphic></fig><p>Sumber: <xref ref-type="bibr" rid="">(Cain et al., 2017)</xref></p></sec></sec><sec><title>Table 5 <italic>–</italic> Reliability dan Convergent Validity analysis</title><table-wrap id="table-ijz9i7"><label>Table 5 – Reliability dan Convergent Validity analysis</label><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="2" style="" align="left" valign="top"><break/><p>Construct</p></th><th colspan="1" rowspan="2" style="" align="left" valign="top"><break/><p>Item</p></th><th colspan="2" rowspan="1" style="" align="left" valign="top"><p>Reliability</p></th><th colspan="2" rowspan="1" style="" align="left" valign="top">Convergent Validity</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Cronbach' s alpha</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Composite reliability</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>AVE</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Outer Loading</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">E-WOM</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>EWOM_1</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.846</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.89</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.61</p><p>8</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.831</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>EWOM_2</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.855</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>EWOM_3</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.762</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>EWOM_4</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.758</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">EWOM_5</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">0.716</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">FOMO</td><td colspan="1" rowspan="1" style="" align="left" valign="top">FOMO_1</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.878</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.91</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.67</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.841</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">FOMO_2</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">0.819</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">FOMO_3</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">0.865</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">FOMO_4</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">0.806</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">FOMO_5</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">0.759</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">Purchase Intention</td><td colspan="1" rowspan="1" style="" align="left" valign="top">PUIN_1</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.853</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.895</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.631</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.76</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">PUIN_2</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">0.779</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">PUIN_3</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">0.751</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">PUIN_4</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">0.829</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">PUIN_5</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">0.849</td></tr></tbody></table></table-wrap><sec><title>Table 6 – Heterotrait – Monotrati ratio (HTM) / Discriminat validity</title><table-wrap id="table-ap1rsw"><label>Table 6 – Heterotrait – Monotrati ratio (HTM) / Discriminat validity</label><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="left" valign="top">Construct</th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>E-WOM</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>FOMO</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Purchase Intention</p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">E-WOM</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">FOMO</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.309</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Purchase</p><p>Intention</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.792</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.563</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"/></tr></tbody></table></table-wrap><p>In the structural model assessment (see Table 8), all tested hypotheses were statistically supported using the bootstrapping technique. E-WOM had a significant effect on FOMO (β = 0.29; t-value = 3.131; p-value = 0.002; R² = 0.079; f² = 0.092), as well as a direct effect on Purchase Intention (β = 0.687; t-value = 11.167; p-value = 0.000; R² = 0.568; f² = 0.751). FOMO also significantly influenced Purchase Intention (β = 0.331; t-value = 4.85; p-value = 0.000; f² = 0.234) and was found to mediate the relationship between E-WOM and Purchase Intention (β = 0.096; t-value = 2.567; p-value = 0.002). The Variance Inflation Factor (VIF) values for all indicators were below 5, indicating no significant multicollinearity issues <xref ref-type="bibr" rid="">(Hair et al., 2011)</xref>. These findings reinforce the theoretical model, suggesting that E-WOM not only directly influences purchase intention but also indirectly affects it through the psychological factor of FOMO, thereby amplifying the impact of online messages on consumer behavior.</p></sec></sec><sec><title>Tabel 8 - Hypothesis testing</title><table-wrap id="table-1"><label>Tabel 8 - Hypothesis testing</label><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="left" valign="top">Hypho.</th><th colspan="1" rowspan="1" style="" align="left" valign="top">Relationship</th><th colspan="1" rowspan="1" style="" align="left" valign="top">Beta</th><th colspan="1" rowspan="1" style="" align="left" valign="top">t-value</th><th colspan="1" rowspan="1" style="" align="left" valign="top">p-value</th><th colspan="1" rowspan="1" style="" align="left" valign="top">r<sup>2</sup> value</th><th colspan="1" rowspan="1" style="" align="left" valign="top">f<sup>2</sup> value</th><th colspan="1" rowspan="1" style="" align="left" valign="top">VIF</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">H1</td><td colspan="1" rowspan="1" style="" align="left" valign="top">E-WOM → FOMO</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.290</td><td colspan="1" rowspan="1" style="" align="left" valign="top">3.131</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.002**</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.079</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.092</td><td colspan="1" rowspan="1" style="" align="left" valign="top">1.000</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">H2</td><td colspan="1" rowspan="1" style="" align="left" valign="top">E-WOM → Purchase Intention</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.592</td><td colspan="1" rowspan="1" style="" align="left" valign="top">11.167</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.000**</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.568</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.751</td><td colspan="1" rowspan="1" style="" align="left" valign="top">1.092</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">H3</td><td colspan="1" rowspan="1" style="" align="left" valign="top">FOMO → Purchase Intention</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.331</td><td colspan="1" rowspan="1" style="" align="left" valign="top">4.850</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.000**</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top">0.234</td><td colspan="1" rowspan="1" style="" align="left" valign="top">1.092</td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">H4</td><td colspan="1" rowspan="1" style="" align="left" valign="top">E-WOM → FOMO → Purchase Intention</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.096</td><td colspan="1" rowspan="1" style="" align="left" valign="top">2.567</td><td colspan="1" rowspan="1" style="" align="left" valign="top">0.010**</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/></tr><tr><td colspan="2" rowspan="1" style="" align="left" valign="top">Note: **Significant of p-value at level &lt; 0.05</td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/></tr></tbody></table><table-wrap-foot><p>Table note...</p></table-wrap-foot></table-wrap><p>Based on the model fit evaluation results presented in the table, it can be concluded that the model demonstrates an adequate level of fit. The Standardized Root Mean Square Residual (SRMR) value of 0.087 indicates an acceptable model fit, as <xref ref-type="bibr" rid="">(Hair et al., 2017)</xref> suggest that SRMR values below 0.10 are still considered acceptable. Furthermore, the d_ULS value of 0.918 and the d_G value of 0.307 reflect relatively low levels of model discrepancy, although these values should ideally be compared with bootstrapping results to confirm their statistical significance. The Chi-square value of 336.023 is not the primary focus in the SEM-PLS approach due to its sensitivity to sample size. Meanwhile, the Normed Fit Index (NFI) value of 0.787 is close to the acceptable threshold of 0.80, although it does not reach the ideal benchmark of 0.90. Overall, following the guidelines provided by Hair et al., the model can be considered to have a reasonably good fit with the data and is suitable for further analysis.</p><sec><title>Table 9 – model fit</title><table-wrap id="table-kscmwp"><label>Table 9 – model fit</label><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="left" valign="top">Criteria</th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Saturated</p><p>model</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Estimated</p><p>model</p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">SRMR</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.087</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.087</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">d_ULS</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.918</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.918</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">d_G</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.307</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.307</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Chi-</p><p>square</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>336.023</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>336.023</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top">NFI</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.787</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>0.787</p></td></tr></tbody></table></table-wrap></sec></sec></sec><sec><title>RESEARCH FINDINGS AND DISCUSSION</title><p>The findings of this study indicate that Electronic Word of Mouth (E- WOM) has a significant influence on both Fear of Missing Out (FOMO) and Purchase Intention. In the context of the Jalan Flamboyan area, information disseminated through social media encourages consumers to experience FOMO due to the exclusivity or unique appeal being promoted. The data reveal that E- WOM plays a crucial role in creating social pressure, reinforcing individuals’ perceptions that they must immediately engage in the experience. This finding aligns with Social Comparison Theory, which posits that individuals tend to evaluate themselves based on others’ experiences shared on social media <xref ref-type="bibr" rid="">(Festinger, 1954)</xref>. Moreover, E-WOM has a highly significant impact on Purchase Intention. As evidenced by the data, information received through online reviews and recommendations shapes consumer perceptions of specific products or services, particularly among younger generations such as Generation Z and Millennials. This supports previous research by Reza Jalilvand &amp; Samiei (2012), which found that online reviews can enhance consumer trust and motivate purchasing decisions. In other words, reviews perceived as authentic and relevant provide a strong emotional stimulus that drives consumers to make immediate purchases.</p><p>FOMO also contributes as a reinforcing factor in the relationship between E-WOM and Purchase Intention. It directly influences Purchase Intention by reflecting the emotional pressure individuals feel to act quickly in order not to miss out on important moments or exclusive opportunities. This finding is consistent with the argument by Przybylski et al. (2013), who stated that FOMO can accelerate purchasing decisions, especially in social contexts that emphasize exclusivity. The relationship between E-WOM and Purchase Intention is also in line with the findings of Cheung &amp; Thadani (2012), who noted that positive information from other users can enhance consumer confidence in a product or service. This confidence influences purchasing behavior, particularly among younger age groups such as Generation Z and Millennials who are active social media users.</p><p>FOMO also serves as a complementary mediating variable, strengthening the indirect effect of E-WOM on Purchase Intention, with a path coefficient of 0.096, a t-value of 2.567, and a p-value of 0.002. FOMO adds an emotional dimension—namely, the fear of missing out on important moments or exclusive opportunities—which drives consumers to act promptly. Przybylski et al. (2013) demonstrated that FOMO can increase urgency and intention in purchasing decisions, particularly among younger individuals who are active on social media. The research data show that the combination of the persuasive power of online reviews and the emotional effect of FOMO significantly influences Purchase Intention, as confirmed by the structural model testing. This is consistent with Gupta &amp; Sharma (2021), who found that consumers experiencing fear of missing out are more likely to make quicker purchasing decisions. FOMO is often triggered by information that highlights exclusivity or time-limited offers, thus motivating individuals to act immediately.</p></sec><sec><title>CONCLUSION AND RECOMMENDATIONS</title><p>This study aimed to identify the influence of Electronic Word of Mouth (E-WOM) on Purchase Intention, with Fear of Missing Out (FOMO) as a mediating variable. The research focused on consumer behavior in the Jalan Flamboyan area, examining how information shared on social media can drive purchase intentions. The analysis revealed that E-WOM significantly affects FOMO, supporting the view that online reviews can heighten emotional pressure that prompts swift action. E-WOM was also found to directly influence Purchase Intention, consistent with existing theories and previous studies. Additionally, FOMO plays a vital role in encouraging consumer purchase intentions while also mediating the relationship between E-WOM and Purchase Intention, indicating an emotional effect that reinforces purchasing decisions.</p><p>These findings contribute to the understanding of the role of online reviews and emotional social pressure in consumer decision-making processes. Based on these results, business actors in the Jalan Flamboyan area are advised to optimize E-WOM strategies and adopt FOMO-based promotional approaches, such as limited-time or exclusive offers.</p><p>The Manado City Government is also encouraged to support local MSMEs in the area by strengthening infrastructure and promoting activities that foster social interaction. Future research is recommended to include additional variables such as brand loyalty or customer satisfaction, explore the effectiveness of various social media platforms, and expand the research location to enhance external validity.</p></sec></body><back><ref-list><title>References</title><ref id="BIBR-1"><element-citation publication-type="article-journal"><article-title>Parent–Adolescent Communication and Problematic Internet Use: The Mediating Role of Fear of Missing Out (FoMO</article-title><source>Journal of Family Issues</source><volume>39</volume><issue>13</issue><person-group person-group-type="author"><name><surname>Alt</surname><given-names>D.</given-names></name><name><surname>Boniel-Nissim</surname><given-names>M.</given-names></name></person-group><year>2018</year><fpage>3391</fpage><lpage>3409</lpage><page-range>3391-3409</page-range></element-citation></ref><ref id="BIBR-2"><element-citation publication-type="book"><article-title>The Practice of Social Research</article-title><person-group person-group-type="author"><name><surname>Babbie</surname><given-names>E.R.</given-names></name></person-group><year>2016</year><publisher-name>Cengage Learning</publisher-name></element-citation></ref><ref id="BIBR-3"><element-citation publication-type="article-journal"><article-title>A conceptual framework of hotel experience and customer‐based brand equity</article-title><source>International Journal of Contemporary Hospitality Management</source><volume>22</volume><issue>2</issue><person-group person-group-type="author"><name><surname>Xu</surname><given-names>J.B.</given-names></name><name><surname>Chan</surname><given-names>A.</given-names></name></person-group><year>2010</year><fpage>174</fpage><lpage>193</lpage><page-range>174-193</page-range><pub-id pub-id-type="doi">10.1108/09596111011018179</pub-id><ext-link xlink:href="10.1108/09596111011018179" ext-link-type="doi" xlink:title="A conceptual framework of hotel experience and customer‐based brand equity">10.1108/09596111011018179</ext-link></element-citation></ref><ref id="BIBR-4"><element-citation publication-type="book"><article-title>Sukses Flamboyan Festival 2023</article-title><person-group person-group-type="author"><name name-style="given-only"><given-names>Bisnismanado</given-names></name></person-group><year>2023</year><month>12</month><day/><publisher-name>HIPMI Sulut Puji</publisher-name></element-citation></ref><ref id="BIBR-5"><element-citation publication-type=""><person-group person-group-type="author"><name name-style="given-only"><given-names>B.P.S.</given-names></name></person-group><year>2024</year><month>07</month><day>25</day></element-citation></ref><ref id="BIBR-6"><element-citation publication-type=""><article-title>Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation</article-title><person-group person-group-type="author"><name><surname>Cain</surname><given-names>M.K.</given-names></name><name><surname>Zhang</surname><given-names>Z.</given-names></name><name><surname>Yuan</surname><given-names>K.-H.</given-names></name></person-group><year>2017</year></element-citation></ref><ref id="BIBR-7"><element-citation publication-type=""><article-title>Regulatory Fit and Persuasion: Transfer</article-title><person-group person-group-type="author"><name><surname>Cesario</surname><given-names>J.</given-names></name><name><surname>Grant</surname><given-names>H.</given-names></name><name><surname>Higgins</surname><given-names>E.T.</given-names></name></person-group><year>2004</year></element-citation></ref><ref id="BIBR-8"><element-citation publication-type=""><article-title>The impact of electronic word-of-mouth</article-title><person-group person-group-type="author"><name><surname>Cheung</surname><given-names>C.M.K.</given-names></name><name><surname>Thadani</surname><given-names>D.R.</given-names></name></person-group><year>2012</year></element-citation></ref><ref id="BIBR-9"><element-citation publication-type="article-journal"><article-title>Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites</article-title><source>International Journal of Advertising</source><volume>30</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Chu</surname><given-names>S.-C.</given-names></name><name><surname>Kim</surname><given-names>Y.</given-names></name></person-group><year>2011</year><fpage>47</fpage><lpage>75</lpage><page-range>47-75</page-range><pub-id pub-id-type="doi">10.2501/IJA-30-1-047-075</pub-id><ext-link xlink:href="10.2501/IJA-30-1-047-075" ext-link-type="doi" xlink:title="Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites">10.2501/IJA-30-1-047-075</ext-link></element-citation></ref><ref id="BIBR-10"><element-citation publication-type=""><article-title>Social media engagement and Fear of Missing Out</article-title><person-group person-group-type="author"><name><surname>D’Lima</surname><given-names>P.</given-names></name><name><surname>Higgins</surname><given-names>A.</given-names></name></person-group><year>2021</year></element-citation></ref><ref id="BIBR-11"><element-citation publication-type="article-journal"><article-title>Comparison of Convenience Sampling and Purposive Sampling</article-title><source>American Journal of Theoretical and Applied Statistics</source><volume>5</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Etikan</surname><given-names>I.</given-names></name><name><surname>Musa</surname><given-names>S.A.</given-names></name><name><surname>Alkassim</surname><given-names>R.S.</given-names></name></person-group><year>2015</year><fpage>1</fpage><lpage>4</lpage><page-range>1-4</page-range><pub-id pub-id-type="doi">10.11648/j.ajtas.20160501.11</pub-id><ext-link xlink:href="10.11648/j.ajtas.20160501.11" ext-link-type="doi" xlink:title="Comparison of Convenience Sampling and Purposive Sampling">10.11648/j.ajtas.20160501.11</ext-link></element-citation></ref><ref id="BIBR-12"><element-citation publication-type="article-journal"><article-title>A Theory of Social Comparison Processes</article-title><source>Human Relations</source><volume>7</volume><issue>2</issue><person-group person-group-type="author"><name><surname>Festinger</surname><given-names>L.</given-names></name></person-group><year>1954</year><fpage>117</fpage><lpage>140</lpage><page-range>117-140</page-range><pub-id pub-id-type="doi">10.1177/001872675400700202</pub-id><ext-link xlink:href="10.1177/001872675400700202" ext-link-type="doi" xlink:title="A Theory of Social Comparison Processes">10.1177/001872675400700202</ext-link></element-citation></ref><ref id="BIBR-13"><element-citation publication-type=""><article-title>Evaluating Structural Equation Models with</article-title><person-group person-group-type="author"><name><surname>Fornell</surname><given-names>C.</given-names></name><name><surname>Larcker</surname><given-names>D.F.</given-names></name></person-group><year>1981</year></element-citation></ref><ref id="BIBR-14"><element-citation publication-type="book"><article-title>Structural equation modeling: metode alternatif dengan partial least square (PLS</article-title><person-group person-group-type="author"><name><surname>Ghozali</surname><given-names>I.</given-names></name></person-group><year>2008</year><publisher-name>Badan Penerbit Universitas Diponegoro</publisher-name></element-citation></ref><ref id="BIBR-15"><element-citation publication-type="book"><article-title>Tersedia Berbagai Menu, Tempat Kuliner di Jalan Flamboyan Manado Ramai Pengunjung Setiap Malam</article-title><person-group person-group-type="author"><name><surname>Guhuhuku</surname><given-names>F.</given-names></name></person-group><year>2023</year><month>08</month><day/><publisher-name>TribunManado.Co.Id</publisher-name></element-citation></ref><ref id="BIBR-16"><element-citation publication-type="article-journal"><article-title>Fear of missing out: A brief overview of origin, theoretical underpinnings and relationship with mental health</article-title><source>World Journal of</source><person-group person-group-type="author"><name><surname>Gupta</surname><given-names>M.</given-names></name><name><surname>Sharma</surname><given-names>A.</given-names></name></person-group><year>2021</year></element-citation></ref><ref id="BIBR-17"><element-citation publication-type="article-journal"><article-title>PLS-SEM: Indeed a Silver Bullet</article-title><source>Journal</source><person-group person-group-type="author"><name><surname>Hair</surname><given-names>J.F.</given-names></name><name><surname>Ringle</surname><given-names>C.M.</given-names></name><name><surname>Sarstedt</surname><given-names>M.</given-names></name></person-group><year>2011</year></element-citation></ref><ref id="BIBR-18"><element-citation publication-type="article-journal"><article-title>When to use and how to report the results of PLS-SEM</article-title><source>European Business Review</source><volume>31</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Hair</surname><given-names>J.F.</given-names></name><name><surname>Risher</surname><given-names>J.J.</given-names></name><name><surname>Sarstedt</surname><given-names>M.</given-names></name><name><surname>Ringle</surname><given-names>C.M.</given-names></name></person-group><year>2019</year><fpage>2</fpage><lpage>24</lpage><page-range>2-24</page-range></element-citation></ref><ref id="BIBR-19"><element-citation publication-type=""><person-group person-group-type="author"><name><surname>Hair</surname><given-names>J.F.</given-names></name><name><surname>Sarstedt</surname><given-names>M.</given-names></name><name><surname>Ringle</surname><given-names>C.M.</given-names></name><name><surname>Gudergan</surname><given-names>S.P.</given-names></name></person-group><year>2018</year></element-citation></ref><ref id="BIBR-20"><element-citation publication-type=""><article-title>Electronic</article-title><person-group person-group-type="author"><name><surname>Hennig-Thurau</surname><given-names>T.</given-names></name><name><surname>Gwinner</surname><given-names>K.P.</given-names></name><name><surname>Walsh</surname><given-names>G.</given-names></name><name><surname>Gremler</surname><given-names>D.D.</given-names></name></person-group><year>2004</year></element-citation></ref><ref id="BIBR-21"><element-citation publication-type="article-journal"><article-title>A new criterion for assessing discriminant validity in variance-based structural equation modeling</article-title><source>Journal of the Academy of Marketing Science</source><volume>43</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Henseler</surname><given-names>J.</given-names></name><name><surname>Ringle</surname><given-names>C.M.</given-names></name><name><surname>Sarstedt</surname><given-names>M.</given-names></name></person-group><year>2015</year><fpage>115</fpage><lpage>135</lpage><page-range>115-135</page-range><pub-id pub-id-type="doi">10.1007/s11747-014-0403-8</pub-id><ext-link xlink:href="10.1007/s11747-014-0403-8" ext-link-type="doi" xlink:title="A new criterion for assessing discriminant validity in variance-based structural equation modeling">10.1007/s11747-014-0403-8</ext-link></element-citation></ref><ref id="BIBR-22"><element-citation publication-type=""><article-title>Social</article-title><person-group person-group-type="author"><name><surname>Jabeen</surname><given-names>F.</given-names></name><name><surname>Tandon</surname><given-names>A.</given-names></name><name><surname>Sithipolvanichgul</surname><given-names>J.</given-names></name><name><surname>Srivastava</surname><given-names>S.</given-names></name><name><surname>Dhir</surname><given-names>A.</given-names></name></person-group><year>2023</year></element-citation></ref><ref id="BIBR-23"><element-citation publication-type="article-journal"><article-title>Analisis pengaruh electronic word of mouth pada media sosial TIKTOK terhadap citra merek dan minat beli pelanggan pada situs online Shopee</article-title><source>Klabat Journal of Management</source><volume>4</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Komaling</surname><given-names>F.S.</given-names></name><name><surname>Taliwongso</surname><given-names>I.</given-names></name></person-group><year>2023</year><page-range>78</page-range></element-citation></ref><ref id="BIBR-24"><element-citation publication-type="book"><article-title>Marketing Management</article-title><person-group person-group-type="author"><name><surname>Kotler</surname><given-names>P.</given-names></name></person-group><year>2001</year><publisher-name>Prentice-Hall</publisher-name></element-citation></ref><ref id="BIBR-25"><element-citation publication-type="book"><article-title>Marketing Management</article-title><person-group person-group-type="author"><name><surname>Kotler</surname><given-names>P.</given-names></name><name><surname>Keller</surname><given-names>K.lane</given-names></name></person-group><year>2012</year><publisher-name>Prentice-Hall</publisher-name></element-citation></ref><ref id="BIBR-26"><element-citation publication-type="article-journal"><article-title>Electronic word-of-mouth in hospitality and tourism management</article-title><source>Tourism Management</source><volume>29</volume><issue>3</issue><person-group person-group-type="author"><name><surname>Litvin</surname><given-names>S.W.</given-names></name><name><surname>Goldsmith</surname><given-names>R.E.</given-names></name><name><surname>Pan</surname><given-names>B.</given-names></name></person-group><year>2008</year><fpage>458</fpage><lpage>468</lpage><page-range>458-468</page-range><pub-id pub-id-type="doi">10.1016/j.tourman.2007.05.011</pub-id><ext-link xlink:href="10.1016/j.tourman.2007.05.011" ext-link-type="doi" xlink:title="Electronic word-of-mouth in hospitality and tourism management">10.1016/j.tourman.2007.05.011</ext-link></element-citation></ref><ref id="BIBR-27"><element-citation publication-type="article-journal"><article-title>Efektifitas Media Instagram Dan E-Wom (Electronic Word Of Mouth) Terhadap Minat Beli Serta Keputusan Pembelian</article-title><source>Jurnal Penelitian IPTEKS</source><volume>5</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Luthfiyatillah</surname><given-names>L.</given-names></name><name><surname>Millatina</surname><given-names>A.N.</given-names></name><name><surname>Mujahidah</surname><given-names>S.H.</given-names></name><name><surname>Herianingrum</surname><given-names>S.</given-names></name></person-group><year>2020</year><fpage>101</fpage><lpage>115</lpage><page-range>101-115</page-range></element-citation></ref><ref id="BIBR-28"><element-citation publication-type="book"><article-title>Riset Pemasaran</article-title><volume>4</volume><person-group person-group-type="author"><name><surname>Malhotra</surname><given-names>N.K.</given-names></name></person-group><year>2009</year><publisher-name>PT Indeks</publisher-name></element-citation></ref><ref id="BIBR-29"><element-citation publication-type=""><article-title>Personality in Adulthood: A Five-Factor Theory</article-title><year>2006</year></element-citation></ref><ref id="BIBR-30"><element-citation publication-type="book"><article-title>Social theory at HBS: McGinnis’ two FOs</article-title><person-group person-group-type="author"><name><surname>McGinnis</surname><given-names>P.J.</given-names></name></person-group><year>2004</year><publisher-name>Herbus</publisher-name></element-citation></ref><ref id="BIBR-31"><element-citation publication-type=""><article-title>Pengaruh Ephemeral Content dan E-WOM</article-title><person-group person-group-type="author"><name><surname>Mettan</surname><given-names>S.V.</given-names></name><name><surname>Sancoko</surname><given-names>A.H.</given-names></name></person-group><year>2021</year></element-citation></ref><ref id="BIBR-32"><element-citation publication-type="article-journal"><article-title>Peran Electronic Word of Mouth sebagai Strategi Komunikasi Pemasaran pada Produk Avoskin</article-title><source>Jurnal Indonesia : Manajemen Informatika Dan Komunikasi</source><volume>5</volume><issue>3</issue><person-group person-group-type="author"><name><surname>Nasution</surname><given-names>N.F.</given-names></name><name><surname>Prasetya</surname><given-names>H.</given-names></name><name><surname>Khohar</surname><given-names>A.</given-names></name></person-group><year>2024</year><fpage>2345</fpage><lpage>2355</lpage><page-range>2345-2355</page-range></element-citation></ref><ref id="BIBR-33"><element-citation publication-type=""><article-title>Social comparison in social media. CHI ’14 Extended Abstracts on Human Factors in Computing Systems</article-title><person-group person-group-type="author"><name><surname>Panger</surname><given-names>G.</given-names></name></person-group><year>2014</year></element-citation></ref><ref id="BIBR-34"><element-citation publication-type=""><article-title>The effect of electronic word of mouth on</article-title><person-group person-group-type="author"><name><surname>Reza Jalilvand</surname><given-names>M.</given-names></name><name><surname>Samiei</surname><given-names>N.</given-names></name></person-group><year>2012</year></element-citation></ref><ref id="BIBR-35"><element-citation publication-type="article-journal"><article-title>Effect of brand equity on consumer purchase intention</article-title><source>Indian J.Sci.Res</source><volume>3</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Roozy</surname><given-names>E.</given-names></name><name><surname>Ali</surname><given-names>M.</given-names></name><name><surname>Vazifehdust</surname><given-names>H.</given-names></name></person-group><year>2014</year><fpage>408</fpage><lpage>413</lpage><page-range>408-413</page-range></element-citation></ref><ref id="BIBR-36"><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Syahrizal</surname><given-names>H.</given-names></name><name><surname>Jailani</surname><given-names>M.S.</given-names></name></person-group><year>2023</year><publisher-name>Jenis-Jenis Penelitian Dalam Penelitian</publisher-name></element-citation></ref><ref id="BIBR-37"><element-citation publication-type="book"><article-title>Metode Penelitian untuk Skripsi dan Tesis Bisnis</article-title><person-group person-group-type="author"><name><surname>Umar</surname><given-names>H.</given-names></name></person-group><year>2008</year><publisher-name>RajaGrafindo Persada</publisher-name></element-citation></ref><ref id="BIBR-38"><element-citation publication-type="book"><article-title>Dampak Pandemi Covid-19 Terhadap Pelaku Usaha Mikro Kecil Dan Menengah Di Kelurahan Tingkulu Kecamatan WaneaKota Manado Provinsi SulawesiUtara</article-title><person-group person-group-type="author"><name><surname>Umboh</surname><given-names>M.N.</given-names></name><name><surname>Lumintang</surname><given-names>J.</given-names></name><name><surname>Goni</surname><given-names>S.Y.V.J.</given-names></name></person-group><year>2022</year><publisher-name>Jurnal Ilmiah Society</publisher-name></element-citation></ref><ref id="BIBR-39"><element-citation publication-type=""><article-title>Persuasion Effect of e-WOM: The Impact of</article-title><person-group person-group-type="author"><name><surname>Wang</surname><given-names>C.-C.</given-names></name><name><surname>Wang</surname><given-names>Y.-T.</given-names></name></person-group><year>2010</year></element-citation></ref><ref id="BIBR-40"><element-citation publication-type=""><article-title>Product/Consumption-Based Affective Responses and</article-title><person-group person-group-type="author"><name><surname>Westbrook</surname><given-names>R.A.</given-names></name></person-group><year>1987</year></element-citation></ref><ref id="BIBR-41"><element-citation publication-type="article-journal"><article-title>The effects of fear of missing out on social media posting preferences</article-title><source>European Journal of Marketing</source><volume>56</volume><issue>12</issue><person-group person-group-type="author"><name><surname>Xi</surname><given-names>Y.</given-names></name><name><surname>Huo</surname><given-names>J.</given-names></name><name><surname>Zhao</surname><given-names>X.</given-names></name><name><surname>Jiang</surname><given-names>Y.</given-names></name><name><surname>Yang</surname><given-names>Q.</given-names></name></person-group><year>2022</year><fpage>3453</fpage><lpage>3484</lpage><page-range>3453-3484</page-range><pub-id pub-id-type="doi">10.1108/EJM-10-2021-0814</pub-id><ext-link xlink:href="10.1108/EJM-10-2021-0814" ext-link-type="doi" xlink:title="The effects of fear of missing out on social media posting preferences">10.1108/EJM-10-2021-0814</ext-link></element-citation></ref></ref-list></back></article>
