cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Aditya Halim Perdana Kusuma Putra
Contact Email
advancesresearch@gmail.com
Phone
+6282194548786
Journal Mail Official
advancesresearch@gmail.com
Editorial Address
Jln. Perintis Kemerdekaan, Puri Asri VII/A7 Makassar, Sulawesi Selatan, Indonesia (90245)
Location
Kota makassar,
Sulawesi selatan
INDONESIA
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 43 Documents
 1   2   3   4   5 
The Symbiotic Dance – How Agile Supply Chains and Strategic Marketing Orchestrate Brand Responsiveness to Evolving Consumer Demands Dzreke, Simon; Dzreke, Semefa Elikplim
Advances in Business & Industrial Marketing Research Vol. 3 No. 3 (2025): June - September
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/abim.v3i3.624

Abstract

Purpose: This study aims to develop and validate the Adaptive Brand Ecosystem model, a new framework that integrates marketing intelligence with agile supply chain execution to enhance organizational responsiveness and competitiveness. It hypothesizes that tighter integration between marketing and operations leads to superior market performance and customer retention. Research Design and Methodology: The research employed a quantitative design using cross-sectional data from 214 companies across various global markets. Performance indicators such as response speed, inventory turnover, and customer retention were analyzed to measure the impact of marketing–supply chain integration. Additionally, case studies from Zara and Warby Parker were used to provide qualitative insights into real-world applications of adaptive capabilities. Findings and Discussion: The findings reveal that firms with strong marketing–operations integration respond 68% faster to market changes, achieve 28% higher inventory turnover, and retain 22% more customers than competitors. The analysis highlights how dynamic market-sensing capabilities restructure supply chains to translate consumer insights into operational advantages. Implications: The model provides executives with strategic guidance for building co-evolving marketing and supply chain systems and introduces tools such as the Demand Response Scorecard. For academics, theory advances by linking dynamic capabilities, market orientation, and operational flexibility, promoting a shift from market-responsiveness to market-propulsion.
The Credibility Gap: Why 68% of Marketers Reject Superior AI Reports (200-CMO Blind Test) Dzreke, Simon; Dzreke, Semefa Elikplim
Advances in Business & Industrial Marketing Research Vol. 3 No. 3 (2025): June - September
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/abim.v3i3.625

Abstract

Purpose: A significant paradox undercuts artificial intelligence's promise in strategic marketing: while 92% of organizations already use AI-generated insights, 74% of executives distrust them for crucial decisions. Research Design and Methodology: This study addresses the credibility dilemma by conducting a groundbreaking blind test with 200 Chief Marketing Officers from Fortune 500 companies, analyzing identical business challenges—half answered by premier AI platforms (GPT-4 and custom LLMs), and half by experienced human analysts. Findings and Discussion: The technique found an unexpected discrepancy: whereas NLP assessment indicated AI matched or exceeded human report quality in 82% of cases, displaying higher predictive accuracy (+14%) and data comprehensiveness, executives rejected 68% of algorithmically generated insights. A multivariate study identified explanatory inadequacies as the crucial factor: AI's inability to communicate why patterns mattered (causal reasoning), base discoveries in operational realities (contextual framing), and structure insights coherently (narrative flow) accounted for 53% of the trust gap. This "analytics without understanding" dilemma was evident when CMOs ignored an AI report accurately predicting telecom churn because it overlooked how back-to-school tuition payments stretched household budgets—the explanation that made the helpful finding. The study proposes a hybrid approach that adds human-authored "why explanations" (about 47 words) to AI outputs, increasing adoption intent by 40% while maintaining 60% efficiency improvements. Implications: These findings suggest viewing algorithm aversion as a fundamental epistemic reconciliation challenge—one where narrative intelligence links computational power and human judgment. As AI affects strategic decision-making, this study gives a trust calibration plan for maximizing its potential while maintaining interpretative depth.
Market Data Collection and Analysis Challenges for Accurate Marketing Strategies Haris, Abdul
Advances in Business & Industrial Marketing Research Vol. 3 No. 3 (2025): June - September
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/abim.v3i3.639

Abstract

Purpose: This study evaluates companies' constraints in market data collection and analysis for developing accurate marketing strategies. It explores how fragmented data sources, inconsistent data quality, technological limitations, and organizational challenges hinder effective data-driven decision-making. Research Design and Methodology: This research employs a qualitative approach through a systematic literature review (SLR), synthesizing insights from peer-reviewed journals, books, and credible databases. The analysis identifies common themes, challenges, and best practices in marketing strategy development related to market data management. Findings and Discussion: The study identifies key challenges, including fragmented data platforms, inconsistent data standards, limited adoption of advanced analytical technologies, and organizational silos. These constraints lead to ineffective marketing strategies due to poor data integration and limited insights. The findings emphasize the importance of adopting advanced technologies, such as artificial intelligence (AI), machine learning (ML), and cloud-based platforms, alongside strengthening cross-functional collaboration and data literacy within organizations. Implications: This study provides valuable insights for both academia and industry. For practitioners, it offers actionable strategies for overcoming data-related challenges, including investing in integrated data platforms, promoting cross-departmental collaboration, and enhancing employee analytical skills. Academically, it enriches existing literature by bridging theoretical frameworks with practical applications. Future research should focus on empirical validation and industry-specific case studies to further advance understanding in this field.

Page 5 of 5 | Total Record : 43

 1   2   3   4   5 

Filter by Year

2023 2025


Reset
Filter By Issues
All Issue Vol. 3 No. 3 (2025): June - September Vol. 3 No. 2 (2025): February - May Vol. 3 No. 1 (2025): October - January Vol. 2 No. 3 (2024): June - September Vol. 2 No. 2 (2024): February - May Vol. 2 No. 1 (2024): October - January Vol. 1 No. 3 (2023): June - September Vol. 1 No. 2 (2023): February - May Vol. 1 No. 1 (2023): October - January