Digital technology has been raising the competition between banks and other financial service providers, and encourages banks to undergo digital transformation and introduce innovation in their products and services. However, the high investment required cannot be ignored when undergoing the digital transformation. A few research studies have examined the digital transformation effects on bank’s financial performance. This research aims to examine the digital transformation’s effect on bank profitability, specifically on banks with digital business models. Using digital banks’ profitability as the object is the novelty of this study, whereas previous research on bank profitability focused solely on traditional banks. This research utilizes the Panel of Autoregressive Distributed Lag (ARDL) and the panel data from 2016 to February 2023 of the digital business model bank population in Indonesia, which consists of seven banks. The result of the analysis indicates the U-shape relationship between digital transformation and bank profitability, as the digital transformation significantly supports the bank’s profitability in the long run, while it causes profitability deterioration in the short run due to the huge IT investment. This study recommends that banks need to consider the cost of IT investment as well as the required time and optimum strategy in undergoing the digital transformation and achieving targeted profitability.

Changes in customer behaviors after the COVID-19 pandemic have encouraged the transformation of banking systems. Neobanks have emerged as an innovation and entered the banking system to compete with traditional banks by offering new customer experiences. Neobanks transform traditional banking products and services which are delivered through physical interactions into those delivered via digital channels. This paper analyzes traditional banks that have transformed into neobanks, specifically their efficiency after digital transformation. Efficiency was measured using Stochastic Frontier Analysis (SFA), as it is highly accurate in estimating efficiency scores. This study also used a Pooled Mean Group (PMG) estimation of the Panel ARDL (Autoregressive Distributed Lag), as this approach is useful for analyzing the relationship between variables in panel data, to investigate digital transformation as a determinant of neobanks’ efficiency and examine the existence of short-term and long-term relationships between digital transformation and efficiency. We found that the efficiency of neobanks increases after digital transformation. Furthermore, it can be concluded that digital transformation is a determinant of efficiency and that there is long-term relationship between digital transformation and efficiency. In the short term, digital transformation has a significant negative correlation with efficiency, but in the long term, it has a significant positive relationship; this is because the cost of digital transformation initially decreases the profit efficiency, but afterwards, it increases the efficiency.

Indonesia has been striving to become the world’s largest ornamental fish exporter for the past two decades, but success has been limited. This study analyzes Indonesia’s export competitiveness and identifies the barriers encountered. A trade analysis using the UN-Comtrade database for 2012–2021 was conducted using the Revealed Comparative Advantage (RCA), Constant Market Shares (CMS), and Competitiveness Matrix formulas to evaluate the competitiveness. Qualitative data from interviews with forty-three industry stakeholders were analyzed using NVivo to evaluate export barriers. The findings revealed that Indonesia had not been optimally exporting to some of the world’s largest markets and faced various barriers, such as product quality and continuity, regulations, marketing, shipment, and other internal and external barriers. The government’s role in overcoming those barriers is crucial while maintaining environmental sustainability. We also propose a matrix model for export barrier levels consisting of export readiness, export market accessibility, export operational challenges, and dynamic export environment.

The objective of this research is to examine the relationship between carbon management strategies in corporations and their impact on financial performance. We employ a systematic literature review to analyze 223 articles retrieved from reputable journals indexed in Scopus. A total of 22 empirical studies covering various industry sectors and countries were selected and included in our analysis. The result indicates that 59% of the articles demonstrate positive findings. Among these, 50% show a significant positive impact, while 9% exhibit mixed results with both positive and negative outcomes in the short and long-term perspectives. These findings suggest that adopting carbon management strategies predominantly has a positive influence on corporate financial performance. In this study, we also provide a summary of the dependent, independent, and control variables, as well as commonly used indicators in this research topic, to help guide future quantitative research. Lastly, we offer a summary of the motivations, drivers, and barriers that corporations experience when implementing carbon management strategies. These insights will be valuable for business managers and policymakers, aiding them in successfully embarking on the journey to achieve net-zero emissions.

This study examines the current state of agricultural digitalization in Indonesia, focusing on its potential to transform the agricultural sector and improve farmer welfare. Using the Soft Systems Methodology (SSM), the research analyzes existing conditions, challenges, and opportunities in implementing digital technologies in agriculture. The study reveals that while agricultural digitalization is recognized as a priority in Indonesia's national development plans, its implementation faces significant hurdles. These include limited comprehensive regulations, uneven digital infrastructure, low digital literacy among farmers, and varying perceptions of technology adoption. The research highlights the need for an integrated approach involving key stakeholders such as the government, private sector, and farmers. The CATWOE analysis identifies farmers as primary beneficiaries and emphasizes the importance of tailored policies and infrastructure development. The study proposes recommendations for accelerating digital adoption, including formulating comprehensive regulations, improving rural digital infrastructure, enhancing farmer education programs, and strengthening the role of agricultural extension workers. The conceptual model developed through SSM provides a framework for creating an innovative and sustainable digital agricultural ecosystem. This research contributes to the understanding of agricultural digitalization in Indonesia and offers insights for policymakers and practitioners in developing effective strategies for digital transformation in agriculture.