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Robbi Rahim
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robbirahim@ieee.org
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apollo@mediadigitalpublikasi.com
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JL. Kenari 18 No. 421 Desa/Kelurahan. Kenangan, Kec. Percut Sei Tuan, Kab. Deli Serdang, Kab. Deli Serdang, Provinsi Sumatera Utara, 20226, Indonesia
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INDONESIA
Apollo: Journal of Tourism and Business
Published by CV. Media Digital Publikasi Indonesia
ISSN : -     EISSN : 29855810     DOI : https://doi.org/10.58905/apollo
Core Subject : Economy, Social,
Economics, Econometrics & Finance Social Sciences
Apollo: Journal of Tourism and Business, a premier peer-reviewed academic journal dedicated to the advancement of knowledge and research in the field of tourism and business. Our journal is committed to publishing high-quality, original research that explores the complex and dynamic relationship between these two fields. We publish three issues per year and welcome submissions from researchers at all career levels and from any geographic location. Our journal is assigned the International Standard Serial Number (ISSN) 2985-5810, which ensures the permanent availability and visibility of our journal in the scholarly community, We are committed to promoting diversity and inclusivity in our editorial process and encourage submissions from underrepresented groups. Our rigorous peer review process ensures that only the most impactful and rigorous research is published in our journal. we hope that you will consider submitting your research to Apollo and join the conversation about the important issues facing the tourism and business sectors.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Tourism, Leisure and Hospitality Management
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2024): May 2024" : 5 Documents clear
Model of Interest in Buying Fashion Products on Tiktok Shop Which is Influenced by Influencer Marketing and Price Perception Karina Dewi Pertiwi; Dini Andriyani; Adi Setiawan; Tiara Muthiarsih
Apollo: Journal of Tourism and Business Vol. 2 No. 2 (2024): May 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v2i2.297

Abstract

In the rapidly developing digital era, competition between companies in the e-commerce sector is increasingly competitive. Social media is a supporting tool for consumers in sharing text, video, image and audio information, and currently technology is developing more quickly, because of the large number of internet users, therefore all activities can be done online, one of which is online shopping. one example is TikTok Shop. TikTok Shop is a social commerce feature that advertises and sells their products via TikTok. This shopping feature is present on TikTok as a response to increasing sales of various products after brands carried out promotions via social media platforms. Influencers are netizen actors who have social media accounts and continue to spread messages or campaign content to other netizens to strengthen the message or content. Influencer marketing is a marketing strategy in product sales by promoting a product by someone who is considered to have influence. Price is one component of a company's marketing strategy, with the aim of providing added value to consumers so that they continue to consume the products and services being sold. Consumers will tend to prefer a more affordable price to obtain an item. Consumers tend to prefer more affordable prices to get the goods they want. The aim of this research is to determine the formation of the Purchase Interest model which is influenced by Influencer Marketing and Price Perception. This research uses a side purposive method which involves selecting samples from the population studied based on certain criteria. Structural Equation Modeling (SEM) analysis was used to analyze the data. The results of the validity test output show that this research data is declared valid and the construct reliability test shows that each variable in this research is declared consistent. The statistical assumption test shows that it has a positive and significant effect on influencer marketing which can provide a stimulus to prices and purchasing interest which encourages customers to make purchases. The path analysis model fit test shows the similarity of several samples which can substitute for the population as a whole
AI for Digital Marketing Muhammad Edrick Abhiseka; Riyandi; Yongki Alex; Riza Ardy Saputra; Adi Setiawan
Apollo: Journal of Tourism and Business Vol. 2 No. 2 (2024): May 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v2i2.298

Abstract

The rapid development of artificial intelligence (AI) technology has revolutionized the digital marketing landscape, enabling marketers to improve efficiency, personalization and strategic decision making. This research aims to map research trends related to the application of AI in digital marketing through bibliographic analysis. Qualitative research methods with a historical approach are used to collect and analyze scientific articles from leading international journals. Bibliometric analysis was performed with VOSviewer software to visualize patterns and clusters of key terms. Results show a significant increase in the number of publications related to AI in digital marketing, with a focus on topics such as marketing strategy, customer experience, social media, e-commerce and industrial marketing. The visualization reveals the interrelationships and groupings of various terms, providing insight into the current research landscape. This study contributes to the understanding of trends, opportunities and challenges in integrating AI into digital marketing practices. These findings are useful for researchers and practitioners to identify future research directions and develop effective marketing strategies by leveraging AI. However, further research is needed to explore the ethical implications, data security and other aspects regarding the application of AI in the context of digital marketing
Mapping Sustainable Marketing Using Bibliometric Analysis F Fitria; Desi Tia Adisti; D Dea; Agum Gumelar; Adi Setiawan
Apollo: Journal of Tourism and Business Vol. 2 No. 2 (2024): May 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v2i2.299

Abstract

Research on sustainable marketing is mapped using bibliometric analysis, which offers a thorough picture of the field's current condition and future directions. By means of bibliometric analysis using VosViewer and the collection of 1.385 articles, the study indicates a noteworthy increase in publications and citations concerning the subject matter during the last ten years. Several important clusters actively studying Sustainable Marketing, including sustainable consumer behavior, sustainability orientation, consumption patterns, market segmentation, and stakeholder roles, were found through analysis of author collaboration patterns. "Sustainable marketing research" is the core research area, and the bibliometric network visualization displays the essential terms and relationships between concepts. Though less thoroughly, subjects including customer capital, sustainable management, sustainable business, and digital marketing were also covered. This article's bibliometric analysis reveals some intriguing mapping findings. Collaboration in research articles is revealed by the author's analysis. The report also presents the findings from studies on sustainable consumer behavior. The study method on consumer sustainability challenges, including customer capital, spending, and behavior, is outlined by the bibliometric analysis. Bibliometric analysis, thus, offers a mapping of sustainability research, particularly in terms of offering significant insights on specific sustainability challenges like consumer difficulties.
The Influence of E-Service Quality and Service Features on Customer Trust in Gojek Application Users Fazri Wima Maulana; Kartika Puspitasari Arrochimmi; Kiki Dianti; N Nurkomalasari; Adi Setiawan
Apollo: Journal of Tourism and Business Vol. 2 No. 2 (2024): May 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v2i2.300

Abstract

This research was conducted to analyze the influence of E-Service Quality and Service Features on Customer Trust among Gojek application users. The data in this research was collected through distributing questionnaires and analyzed using quantitative analysis. The population taken was students at Swadaya Gunung Jati University with a sample of level 4 students. The sample taken was 208 respondents using a non-probability sampling technique, namely purposive sampling. In this study, the data was processed using SPSS version 25 with cross descriptive model analysis (Crosstab), as well as the relationship between the respondent's character and the question variables. And to test the data using validity and reliability tests. The research results show that E-Service Quality has a significant influence on Customer Trust, Service Features have a significant influence on Customer Trust, and the two variables between E-Service Quality and Service Features both have a significant influence on Customer Trust
The Influencing Factors of Knowledge Hiding Among Employees in the Construction Industry: A Psychological Contract Perspective Wei Lai; Shengxiang, She; Chugong, Zhang
Apollo: Journal of Tourism and Business Vol. 2 No. 2 (2024): May 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v2i2.311

Abstract

This study explores the factors influencing employee knowledge hiding in construction industry organizations. Utilizing quantitative methods, the research examines the impact of demographic factors, including gender, age, educational level, marital status, and duration of service, as well as psychological contract breaches on employee knowledge hiding. An independent samples t-test and multiple comparisons using the least significant difference (LSD) test were conducted to analyze the demographic factors. At the same time, a simple linear regression analysis was employed to assess the relationship between psychological contract breach and knowledge hiding. The results indicate that demographic factors significantly affect employee knowledge hiding, with females, older employees, those with lower educational levels, divorced or widowed individuals, and employees with longer service durations tending to hide knowledge more frequently. Furthermore, psychological contract breach is found to have a strong and positive relationship with employee knowledge hiding, suggesting that employees are more likely to engage in knowledge-hiding behaviors when they perceive a violation of their psychological contract. The findings have important managerial implications, emphasizing the need for tailored strategies to address knowledge hiding among different employee groups and maintaining a strong psychological contract with employees to foster a culture of knowledge sharing and innovation

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