International Journal of Strategic Accounting and Business Management
type: channel
description: Welcome to the International Journal of Strategic Accounting and Business Management (INSTRACTBEE). We are pleased to introduce the International Journal of Strategic Accounting and Business Management (INSTRACTBEE), a scholarly journal dedicated to advancing research and discussion in the fields of accounting, management, and business. Our goal is to provide a leading platform for academics, researchers, and practitioners to share insights and findings relevant to contemporary developments in these areas. INSTRACTBEE covers a wide range of topics, including: Strategic accounting and management, Finance and investment, Marketing and consumer behavior, Human resource management, Innovation and entrepreneurship, Business policy and ethics. etc. The journal is published quarterly in March, June, September, and December. Each issue features rigorously peer-reviewed articles, ensuring high quality and originality.
publisher: PT. Technology Laboratories Indonesia
language: en
publication name: International Journal of Strategic Accounting and Business Management
items: The Role of Data Analytics in Strategic Decision Making in Multinational Companies
items: The Impact of Artificial Intelligence on Ethical Decision-Making in Accounting Practices
items: Sustainability Accounting Practices and Their Impact on Corporate Reputation: Evidence from the Circular Economy Model
items: The Role of Artificial Intelligence in Enhancing Financial Reporting Accuracy for SMEs: A Comparative Study Across Emerging Markets
items: The Impact of Corporate Governance on Financial Performance: Evidence from Indonesia

The Role of Data Analytics in Strategic Decision Making in Multinational Companies
type: item
description: In an increasingly competitive era of globalization, multinational companies face complex challenges in making strategic decisions. This research aims to explore the role of data analytics in supporting strategic decision making in multinational companies. The methodology used is a quantitative approach with data analysis from case studies on several multinational companies that integrate data analytics in their business processes. The results show that the use of data analytics contributes significantly to improving the efficiency of strategic decision-making processes, including the identification of market opportunities, risk mitigation, and product development. In addition, data analytics enables companies to understand market dynamics in real-time, thereby strengthening their competitive advantage. Factors such as technology infrastructure, data quality, and team analytics capabilities are key to the successful implementation of data analytics. This research concludes that data analytics plays a crucial role in supporting strategic decision-making based on accurate and relevant information. Thus, multinational companies are advised to continue developing their data analytics capabilities as part of a sustainable business strategy.
subject: Articles
  topic: section
subject: Data Analytics
  topic: keywords
subject: Strategic Decision Making
  topic: keywords
subject: Multinational Companies
  topic: keywords
subject: Business Technology
  topic: keywords
creator: Manoj Chandrodaya
creator: Alice Breadly
creator: Xin Qian Bái
rights: Copyright (c) 2024 International Journal of Strategic Accounting and Business Management
date: 2024-12-01
publication date: 2024-12-01
starting page: 21
ending page: 25

The Impact of Artificial Intelligence on Ethical Decision-Making in Accounting Practices
type: item
description: The rapid adoption of artificial intelligence (AI) technologies in accounting has transformed traditional practices, enhancing efficiency and accuracy in decision-making processes. However, this technological advancement also introduces significant ethical dilemmas that accounting professionals must navigate. This study investigates the impact of AI on ethical decision-making in accounting, focusing on the challenges posed by algorithmic bias, accountability frameworks, and the need for comprehensive ethical guidelines. A mixed-methods approach was employed, combining a systematic literature review with qualitative interviews of accounting professionals. The literature review revealed critical themes, including the risks of algorithmic bias and the necessity for robust accountability structures. Insights from interviews highlighted the real-world experiences of practitioners, emphasizing the need for ongoing training and awareness regarding the ethical implications of AI. The findings suggest that while AI offers substantial opportunities for improving accounting practices, it also necessitates the development of novel ethical frameworks and continuous monitoring mechanisms to ensure responsible utilization. This study contributes to the growing discourse on accounting ethics in the context of AI, underscoring the importance of maintaining trust and accountability in the evolving financial landscape.
subject: Articles
  topic: section
subject: Artificial Intelligence
  topic: keywords
subject: Accounting Ethics
  topic: keywords
subject: Ethical Decision-Making
  topic: keywords
subject: Algorithmic Bias
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subject: Accountability Frameworks
  topic: keywords
creator: Min-Jae Kim
creator: Aditi Sharma
rights: Copyright (c) 2024 International Journal of Strategic Accounting and Business Management
date: 2024-12-01
publication date: 2024-12-01
starting page: 16
ending page: 20

Sustainability Accounting Practices and Their Impact on Corporate Reputation: Evidence from the Circular Economy Model
type: item
description: This study investigates the relationship between sustainability accounting practices and corporate reputation, with a focus on the circular economy model. The circular economy emphasizes resource efficiency, waste reduction, and product lifecycle management as sustainable alternatives to the traditional linear economic model. By employing a mixed-methods approach, this research combines quantitative survey data from 200 companies and qualitative insights from 30 interviews with sustainability professionals across Europe, North America, and Asia. The findings reveal a significant positive correlation between sustainability accounting practices and corporate reputation metrics, with companies adopting circular economy principles achieving a 15% higher average in reputation scores. Regression analysis indicates that circular economy adherence accounts for 42% of variance in corporate reputation, underscoring its strategic importance. Qualitative results highlight transparency, stakeholder engagement, and leadership commitment as key factors driving reputational benefits, while challenges such as financial constraints, expertise gaps, and inconsistent reporting standards hinder adoption. The study further identifies industry and regional variations, with developed economies and sectors like manufacturing leading adoption rates, while emerging markets face infrastructure and regulatory barriers. The research contributes actionable insights, advocating for harmonized sustainability reporting frameworks, capacity-building initiatives, and affordable implementation strategies to promote the transition to a circular economy. Ultimately, this study underscores the critical role of sustainability accounting in fostering corporate reputation and advancing global sustainability goals.
subject: Articles
  topic: section
subject: Sustainability Accounting
  topic: keywords
subject: Corporate Reputation
  topic: keywords
subject: Circular Economy
  topic: keywords
subject: ESG Reporting
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subject: Resource Efficiency
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creator: Ahmed F. Hakim
creator: Riena Susanty
rights: Copyright (c) 2024 International Journal of Strategic Accounting and Business Management
date: 2024-12-01
publication date: 2024-12-01
starting page: 11
ending page: 15

The Role of Artificial Intelligence in Enhancing Financial Reporting Accuracy for SMEs: A Comparative Study Across Emerging Markets
type: item
description: This study explores the role of Artificial Intelligence (AI) in enhancing financial reporting accuracy for Small and Medium-sized Enterprises (SMEs) across emerging markets. SMEs play a vital role in global economic development but face persistent challenges in maintaining accurate financial records due to resource constraints and limited expertise. AI technologies, including machine learning and predictive analytics, offer promising solutions to automate processes, reduce errors, and ensure compliance with regulatory standards. Using a mixed-methods approach, this research examines AI adoption among SMEs in Southeast Asia, Sub-Saharan Africa, and South America. The findings reveal that AI implementation significantly reduces error rates in financial reporting, with regional adoption rates and effectiveness influenced by factors such as technological infrastructure, government policies, and organizational readiness. Southeast Asia exhibits the highest adoption rate and improvements, while Sub-Saharan Africa and South America face barriers, including high implementation costs and insufficient digital literacy. This study emphasizes the need for tailored strategies and collaborative efforts among policymakers, technology providers, and SMEs to maximize AI's potential. Recommendations include the development of affordable AI solutions, capacity-building initiatives, and supportive regulatory frameworks. The findings contribute to the growing body of literature on AI applications in financial reporting and provide actionable insights for enhancing financial transparency and decision-making in emerging markets.
subject: Articles
  topic: section
subject: Artificial Intelligence
  topic: keywords
subject: Financial Reporting
  topic: keywords
subject: Small and Medium-sized Enterprises
  topic: keywords
subject: Emerging Markets
  topic: keywords
subject: AI Adoption Strategies
  topic: keywords
creator: Rina Widyaningsih
creator: Ahmad Fadli
rights: Copyright (c) 2024 International Journal of Strategic Accounting and Business Management
date: 2024-12-01
publication date: 2024-12-01
starting page: 6
ending page: 10

The Impact of Corporate Governance on Financial Performance: Evidence from Indonesia
type: item
description: This study investigates the impact of corporate governance on the financial performance of publicly listed companies in Indonesia, highlighting the significance of effective governance practices in enhancing organizational success. Utilizing empirical data from 100 firms, the research reveals a positive correlation between corporate governance and key financial metrics, including Return on Assets (ROA), Return on Equity (ROE), and net profit margin. The findings indicate that companies with robust governance frameworks are better positioned to utilize their resources efficiently, leading to improved profitability and increased shareholder value. Furthermore, the study emphasizes the growing demand for transparency and accountability in corporate practices within Indonesia's evolving market landscape. The implications extend to policymakers, suggesting the need for initiatives that promote best practices in corporate governance, such as mandatory training for board members and enhanced disclosure requirements. By fostering an environment conducive to good governance, the government can enhance the stability and attractiveness of the investment climate. In conclusion, this research contributes to the existing literature on corporate governance and serves as a call to action for corporate leaders and policymakers to prioritize governance as a fundamental component of business strategy and economic development in Indonesia.
subject: Articles
  topic: section
subject: Corporate governance
  topic: keywords
subject: Financial performance
  topic: keywords
subject: Evidence
  topic: keywords
subject: Economic development
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subject: Business strategy
  topic: keywords
creator: Bernard Simanjuntak
creator: Jihan Alfredo
rights: Copyright (c) 2024 International Journal of Strategic Accounting and Business Management
date: 2024-12-01
publication date: 2024-12-01
starting page: 1
ending page: 5