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Advances in Business & Industrial Marketing Research
Published by Yayasan Pendidikan Bukhari Dwi Muslim
ISSN : -     EISSN : 29857589     DOI : https://doi.org/10.60079/abim
Core Subject : Economy,
Economics, Econometrics & Finance
Founded in 2023, Advances in Business & Industrial Marketing Research publishes original research that promises to advance our understanding of Business & Industrial Marketing over diverse topics and research methods. This Journal welcomes research of significance across a wide range of primary and applied research methods, including analytical, archival, experimental, survey and case study. The journal encourages articles of current interest to scholars with high practical relevance for organizations or the larger society. We encourage our researchers to look for new solutions to or new ways of thinking about practices and problems and invite well-founded critical perspectives. We provide a forum for communicating impactful research between professionals and academics in Business & Industrial Marketing research and practice with discusses and proposes solutions and impact the field. Advances in Business & Industrial Marketing Research publishes research that contributes to our developing knowledge of entrepreneurial and small business marketing.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 55 Documents
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The Role of Word of Mouth and Digital Media in Increasing Promotion Effectiveness Yuyun Wahyudi; Sukaris Sukaris
Advances in Business & Industrial Marketing Research Vol. 4 No. 2 (2026): February - May
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/abim.v4i2.852

Abstract

Purpose: This study analyzes the role of Word of Mouth (WoM) and digital media in enhancing promotional effectiveness at PT. Gresik Anugrah Sejahtera in a B2B industrial service context. Research Method: A qualitative descriptive case study was conducted using purposive sampling. Data were collected through interviews with management and business partners, direct observation, and company documentation. Data analysis applied data reduction, display, and conclusion drawing with source triangulation. Results and Discussion: Findings show that WoM is crucial in maintaining trust, loyalty, and demand stability, but its impact is limited to existing networks. Digital media is utilized but not strategically managed, resulting in limited contribution to market expansion. Lack of integration between WoM and digital media leads to defensive promotional practices. Implications: Companies should integrate WoM and digital media to improve promotional effectiveness and competitiveness. Future research may apply quantitative or mixed methods. Originality: This study highlights the integration gap between WoM and digital media in B2B industrial services.
Smart Warehouse Ecosystem: An IoT-Based Framework for Real-Time Environmental Monitoring in a Nutrition Fulfillment Service Unit (SPPG) Warehouse Geby Ayu Fadhilah; Ginandia Ariesta; Ahmad Rufa'i; Deddy Rusdiansyah; Syarif Hidayat
Advances in Business & Industrial Marketing Research Vol. 4 No. 2 (2026): February - May
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/abim.v4i2.856

Abstract

Purpose: This conceptual and simulation-based study aims to examine the potential digital transformation of the logistics system at the Kasemen SPPG Warehouse. It specifically investigates the ability of RFID integration to reduce inaccuracies in food inventory data, evaluates the responsiveness of an IoT-based network architecture using the MQTT protocol for environmental early-warning transmission, and measures automation-driven cycle-time efficiency in inbound and outbound logistics processes. Research Method: This study applies a Research and Development (R&D) approach, focusing on conceptual framework design and performance evaluation using secondary data. The analysis includes Inventory Record Inaccuracy (IRI) measurement using RMSE, evaluation of notification responsiveness via MQTT transmission delay, and time-motion analysis of inbound and outbound cycles, supported by an automated FEFO algorithm. Results and Discussion: The simulation results provide preliminary conceptual support for the proposed operational hypotheses. IRI decreased by 88.86%, from 6.91 to 0.77 RMSE units. Notification responsiveness improved by 99.98%, from 21,600 seconds in the manual system to 2.2 seconds using MQTT. Automation also reduced cycle time by 92.59% in inbound activities and 93.33% in outbound activities. Implications: The findings offer a practical blueprint for shifting warehouse operations from reactive to preventive, reducing the risk of food waste, and supporting digitally standardized logistics SOPs. Originality: This study presents an integrated IoT-based Smart Warehouse model that combines RFID, MQTT, and automated FEFO to support food logistics decision-making.
Trade Openness and Indonesia's Economic Growth: Empirical Evidence of the Role of Exports and Imports in Gross Domestic Product Noldin Jerry Tumbel
Advances in Business & Industrial Marketing Research Vol. 4 No. 3 (2026): June - September
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/abim.v4i3.1006

Abstract

Purpose: This study examines the effects of exports and imports, as indicators of trade openness, on Indonesia’s real Gross Domestic Product (GDP) in both the short run and the long run. Research Method: Quarterly data from the first quarter of 2015 to the first quarter of 2026 (45 observations) were obtained from Statistics Indonesia. The study employs the Autoregressive Distributed Lag (ARDL) approach, including descriptive statistics, Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root tests, lag selection using the Akaike Information Criterion (AIC), bounds testing, and short-run dynamic estimation. Results and Discussion: The results show that all variables are non-stationary at level but none is integrated of order two, validating the use of the ARDL model. The optimal specification is ARDL (1,4,1). The bounds test produces an F-statistic of 1.737, below the 5% lower critical bound (4.135), indicating no long-run equilibrium relationship between trade openness and real GDP. Moreover, exports and imports have no statistically significant short-run effects on economic growth. In contrast, significant second- and third-quarter dummy variables reveal seasonal patterns in GDP fluctuations, suggesting that aggregate trade values alone do not sufficiently explain economic growth. Implications: Trade policies should prioritize increasing domestic value added, improving productivity, and strengthening industrial linkages rather than merely expanding trade volumes. Originality: This study provides recent evidence on the trade openness–growth nexus in Indonesia using post-2015 quarterly data and demonstrates the limited explanatory power of aggregate trade flows in the absence of stronger domestic productive capacity.
Short-Run and Long-Run Relationship Between Indonesia's Export Value and Real Gross Domestic Product: Quarterly Data Analysis 2010Q1–2026Q1 Noldin Jerry Tumbel
Advances in Business & Industrial Marketing Research Vol. 4 No. 3 (2026): June - September
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/abim.v4i3.1007

Abstract

Purpose: This study examines the short-run and long-run relationship between export value and Indonesia’s real gross domestic product (GDP) to evaluate the validity of the export-led growth hypothesis. Research Method: The study uses 65 quarterly observations from 2010 to 2026, consisting of real GDP at constant 2010 prices and export value. The Autoregressive Distributed Lag (ARDL) approach, bounds test for cointegration, unit root test, and diagnostic and stability tests were employed to examine the relationship between the variables. Results and Discussion: The unit root results indicate that both variables are integrated of order one, I(1). Based on the Bayesian Information Criterion, the ARDL (1,1) model was selected as the optimal specification. The bounds test produced an F-statistic of 0.874, which is below the 5% lower critical bound, indicating no long-run cointegrating relationship between export value and real GDP. Although changes in export value have a positive and statistically significant short-run effect, the model exhibits heteroskedasticity, non-normal residuals, and parameter instability, particularly during the economic shock in the second quarter of 2020. These findings suggest that higher export values alone do not guarantee sustained economic growth because their impact depends on export composition, domestic value added, import content, and broader macroeconomic conditions. Implications: Policies should emphasize export diversification and higher domestic value-added production rather than focusing solely on increasing export value. Originality: This study provides updated evidence on Indonesia’s export-led growth hypothesis using quarterly data through 2026 and demonstrates the absence of a stable long-run relationship despite significant short-run effects.
The Role of Customer Engagement as a Mediator of the Effects of Digital Ad Personalization and Interactive Digital Content on Consumer Trust on TikTok Shop Muchlis Abbas; Rahmawati Umar; Arnida Arnida
Advances in Business & Industrial Marketing Research Vol. 4 No. 3 (2026): June - September
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/abim.v4i3.1046

Abstract

Purpose: This study aims to analyze the effect of Digital Ad Personalization and Interactive Digital Content on Consumer Trust, with Customer Engagement as a mediating variable, among TikTok Shop users in the Generation Z segment in Indonesia. Research Method: This study employed a quantitative approach with an explanatory survey design. Data were collected from 200 active TikTok Shop users through purposive sampling using an online questionnaire. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) with the assistance of SmartPLS 4.0 software to test the measurement model, structural model, and mediating effects. Results and Discussion: The results of the study indicate that Digital Ad Personalization and Interactive Digital Content have a positive and significant effect on Customer Engagement and Consumer Trust. In addition, Customer Engagement has a positive effect on Consumer Trust and was found to partially mediate the relationship between Digital Ad Personalization and Interactive Digital Content and Consumer Trust. Implications: These findings suggest that digital marketing strategies that integrate ad personalization and interactive content can increase consumer engagement while strengthening consumer trust in social commerce platforms. Further research is recommended to develop a model by adding other variables and expanding the characteristics of the respondents. Originality: The novelty of this study lies in integrating Digital Ad Personalization, Interactive Digital Content, Customer Engagement, and Consumer Trust into a single PLS-SEM-based mediation model in the context of TikTok Shop in Indonesia.

Page 6 of 6 | Total Record : 55

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