This study investigates how professional knowledge, operational management skills, strategic insight, relationship-building competence, and practical experience influence the competitive strength of beauty salons. Competitiveness was evaluated based on customer perceptions. A quantitative methodology was adopted, using questionnaires to collect data from 110 beauty salon owners or managers in the Jakarta region. The collected data were then analyzed through Structural Equation Modeling, employing the Partial Least Squares method (SmartPLS 4). The findings indicate that professional knowledge has a significant positive impact on competitiveness compared to other businesses, and its influence is crucial for shaping customer perspectives. However, operational management competencies did not demonstrate a substantial impact on enhancing the company's competitiveness. Conversely, relationship skills competencies and practical experience significantly and positively influence competitiveness, with practical experience emerging as the strongest factor. Further studies are suggested to reconsider the use of operational management competencies as a variable or replace them with more relevant factors that directly shape customer perceptions and enhance efficiency to build a strong salon competitiveness. Furthermore, an emphasis on strategies focused on differentiation and agility of service providers in salons is crucial in responding to competition in the market share of beauty service providers, especially salons.
The rapid growth of Indonesia’s coffee industry in major urban areas has shifted coffee consumption from a purely functional activity toward an experiential practice shaped by brand identity and social media communication. This study aims to elucidate the psychological mechanisms linking social media marketing (SMM) and brand image (BI) to purchasing decisions (PD) for Kopi Kenangan on Instagram by positioning emotional attachment (EA) as a mediating variable. Employing a quantitative approach, data were collected through an online survey of Kopi Kenangan consumers who actively use Instagram and have been exposed to the brand’s digital content. The data were measured using a Likert scale and analyzed using SEM-PLS to examine the structural relationships among the constructs. The findings reveal that SMM → EA is not significant, SMM → PD is not significant, BI → EA is significant, EA → PD is significant, and BI → EA → PD is significant. Conceptually, the findings highlight that digital marketing exposure does not automatically translate into purchasing behavior without the support of a strong brand image and meaningful emotional attachment. Managerial implications emphasize the importance of maintaining product quality consistency, managing digital reputation, and developing storytelling and experience-based content to strengthen emotional bonding. The study is limited by its focus on a single brand and platform, as well as the use of cross-sectional survey data. Future research is encouraged to extend the analysis to multiple platforms, incorporate additional psychological constructs, and adopt longitudinal or mixed-method approaches to better capture emotional dynamics and the impact of viral campaigns. This study contributes to consumer behavior literature by clarifying conditions under which engagement remains at the awareness level and offering practical insights into converting digital interaction into loyalty and repeat purchasing behavior.
This study examines the possibility of financial hardship for Indonesian real estate and property firms due to the sector's poor performance, which is seen in its falling GDP contribution, inconsistent gains in the Residential Property Price Index with sales, and falling profits. The many widely used financial distress prediction models provide different results and varying levels of accuracy, making it unclear which model best fits the sector between 2021 and 2024. This study seeks to determine the best model among Altman, Grover, Zmijewski, and Springate for forecasting financial hardship. On the IDX, 92 listed businesses in the real estate and property sector were included in a sample of 69 firms using a quantitative-descriptive method with deliberate sampling. The information was analyzed using SPSS 27 and the Kruskal-Wallis one-way ANOVA. The accuracy of the models varied greatly; Springate's was 46.38%, Zmijewski's was 75.36%, Altman's was 76.81%, and Grover's was 82.61%. The Grover model is the most accurate and precise model that should be used as an early warning system to aid in making decisions that will help avert financial challenges.
This study examines the factors influencing saving decisions among Generation Z in Jakarta, with a focus on the effects of financial literacy, materialism, as well as financial attitudes and behaviors. The study is motivated by the relatively low saving culture among urban youth despite increasing access to financial technology. Using a quantitative approach, data were collected through questionnaires administered to Generation Z respondents in Jakarta and analyzed using multiple linear regression methods.The results indicate that financial literacy, attitudes, and financial behavior significantly influence saving behavior. In contrast, materialistic orientation does not have a significant effect on the saving behavior of Generation Z. It is recommended to strengthen financial education to promote better financial management practices and to help control unplanned expenditures among Generation Z.
Pada tahap awal penggunaan metode pembayaran digital, banyak aplikasi yang menawarkan diskon atau cashback dalam rangka meningkatkan adopsi teknologi tersebut. Namun, setelah masyarakat mengadopsi teknologi tersebut, nilai diskon atau cashback yang ditawarkan mengalami penurunan, sehingga promosi tersebut menjadi tidak menarik dan dapat menghambat intensi masyarakat untuk menggunakan aplikasi tersebut secara berkelanjutan. Oleh sebab itu, penelitian ini bertujuan untuk mempelajari faktor-faktor yang dapat memengaruhi intensi masyarakat untuk menggunakan aplikasi pembayaran digital secara berkelanjutan di Indonesia. Penelitian ini memilih sampel secara non-probabilitas dengan teknik convenience sampling. Selanjutnya, penelitian ini mengumpulkan data melalui kuesioner dari 181 responden. Data tersebut dianalisis dengan metode Partial Least Square – Structural Equation Modelling (PLS-SEM). Penelitian ini menunjukkan bahwa kegunaan yang dirasakan dan kepercayaan dapat mempengaruhi kepuasan pelanggan dan intensi untuk terus menggunakan aplikasi pembayaran digital secara positif dan signifikan. Konfirmasi tidak memengaruhi intensi tersebut secara signifikan, tetapi memengaruhi kepuasan pelanggan secara positif dan signifikan. Kepuasan pelanggan memengaruhi intensi tersebut secara positif dan signifikan, serta dapat memediasi pengaruh konfirmasi, kegunaan yang dipersepsikan, dan kepercayaan terhadap intensi tersebut.
