This study discusses the role of Board Monitoring Effectiveness (BME) on managers’ decisions regarding the business strategies that fit the external business environmental conditions by using a contingency analysis approach. Furthermore, this study will examine how fit strategies affect Sustainability Reporting (SR) of listed companies on the Indonesia Stock Exchange (IDX) from 2014 to 2017. This study uses Conditional Mixed Process (CMP) technique. This CMP method is claimed to be more efficient in analyzing the TSL models. This study found that in highly uncertain conditions, BME had a positive influence on the probability of managers to choose prospector and defender strategies rather than analyzers. These results indicate that BME shows positive impact on the contingency fit between business strategies and environmental uncertainty. In addition, the study documents that only prospectors have a positive impact on SR, however this study failed to document that defenders have positive impact on SR. Meanwhile the unexpected result is analyzers have a significantly positive effect on SR. This study is the first study to investigate the role of BME in contingency fit between business strategies and environmental uncertainties and how it produces effects up to the level of SR.

Abstract
1. Introduction
2. Theoretical Framework and HypothesisDevelopment
    2.1. Contingency Theory
    2.2. Corporate Governance Practices in Indonesia
    2.3. Effectiveness of the Board of Commissionersin Conducting the Supervisory Function
    2.4. The Effect of Board Monitoring Effectiveness(BME) on Contingent Fit
    2.5. The Impact of the Effectiveness of Board ofCommissioners’ Supervisory (BME)
    2.6. The Effect of Fit Contingencies betweenBusiness Strategies and EnvironmentalUncertainty on Sustainability Reporting
3. Research Methodology
    3.1. Sample and Data
    3.2. Definition of Variable Operations
    3.3. Empirical Model
    3.4. Simultaneous Recursive Testing UsingConditional Mixed Process (CMP)
4. Results and Discussion
    4.1. Sample Descriptions and Variables
    4.2. Data Analysis Results
    4.3. Discussion
5. Conclusion and Limitations
    5.1. Conclusion
    5.2. Implication
    5.3. Limitedness
References

• Erna HERNAWATI(Department of Accounting, Faculty of Business and Economics, Universitas Pembangunan Nasional Veteran Jakarta, Indonesia) Corresponding Author