Forthcoming Articles

International Journal of Business Competition and Growth

International Journal of Business Competition and Growth (IJBCG)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Business Competition and Growth (2 papers in press)

Regular Issues

  • The tetrapreneur model of Indonesias halal-certified coffee exports to the Egyptian market   Order a copy of this article
    by Irman Adi Purwanto Moefthi, P. L. Rika Fatimah 
    Abstract: This study applies the tetrapreneur model comprising chainpreneur, marketpreneur, qualitypreneur, and brandpreneur dimensions to assess and enhance Indonesias halal-certified coffee exports to Egypt, a promising yet underdeveloped market. Using a qualitative case study approach, in-depth interviews were conducted with eight key business actors: four Indonesian exporters and four Egyptian importers. The findings reveal critical gaps in Indonesias export performance, including inefficient supply chains, limited market intelligence, low investment, and weak national branding. In contrast, Egyptian importers exhibit stronger digital capabilities, responsiveness, and brand collaboration. The study proposes a strategic matrix to address these issues through supply chain digitalisation, improved market intelligence, Robusta foam-quality standardisation, and national co-branding initiatives. As the first to use the tetrapreneur model in halal-certified coffee trade, this research offers a novel framework for evaluating entrepreneurial capacity and export readiness. Practical recommendations target exporters, policymakers, and certification bodies to support sustainable, value-added trade between Indonesia and Egypt.
    Keywords: tetrapreneur model; halal-certified coffee; export optimisation; Indonesia; Egypt; supply chain integration; market intelligence; entrepreneurship dimensions.
    DOI: 10.1504/IJBCG.2026.10078592
     
  • Comparative analysis of ARIMA, SARIMA and Bayesian structural time series models for forecasting agribusiness stock prices in Indonesia   Order a copy of this article
    by I. Gede Wismaya Darma, Martin Ethan Simanullang, Muhammad Luthfi Nurmansyah, Steven Nobel Parluhutan Simarmata 
    Abstract: The agribusiness sector plays a vital role in Indonesia’s economy but faces high stock price volatility due to global commodity fluctuations. This study compares the performance of ARIMA, SARIMA and Bayesian structural time series (BSTS) models in forecasting monthly stock prices of two major palm oil companies, PT Perkebunan London Sumatra Indonesia Tbk (LSIP) and PT Sampoerna Agro Tbk (SGRO), using data from 2010 to 2025. Model performance was evaluated using RMSE, MAE and MAPE. The results indicate that traditional time series models slightly outperformed the Bayesian approach in terms of point forecast accuracy. For SGRO, the ARIMA model achieved the best performance with a MAPE of 5.09%, followed closely by SARIMA (5.15%) and BSTS (6.43%). Similarly, for LSIP, both ARIMA and SARIMA maintained MAPE values below 9% (8.69% and 8.59%, respectively), while BSTS recorded a MAPE of 10.00%. Although BSTS produced slightly higher error rates, diagnostic plots confirm that the model converged well and effectively captured structural components. These findings suggest that while ARIMA and SARIMA remain superior for point forecasting in volatile, weakly seasonal markets, BSTS offers a competitive alternative with the added advantage of quantifying uncertainty through credible intervals.
    Keywords: ARIMA; Bayesian structural time series; BSTS; forecasting; SARIMA; stock price; Indonesia.
    DOI: 10.1504/IJBCG.2026.10079500
     

 

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