Smallholder group certification in Uganda - Analysis of internal control systems in two organic export companies

The organic agricultural sector of Uganda is among the most developed in Africa in terms of its professional institutional network and high growth rates of number of certified farmers and land area. Smallholder farmers are certified organic through contract production for export companies using a group certification scheme (internal control system - ICS). The ICS is a viable and well-accepted tool to certify small-scale producers in developing countries all over the world. Difficulties in certification are still stated to be among the main constraints for Uganda’s organic sector development. Therefore, this paper reports a qualitative case study comprising 34 expert interviews in two organic fresh-produce export companies in central Uganda, aiming to explore the challenges which underlie organic certification with ICS. The study shows that farmers cannot be labelled as ‘organic by default’ but deliberately engage in organic production as a marketing strategy. The small quantities purchased by the organic companies lead to a difficult marketing situation for the farmers, causing production and infiltration risks on the farm level. These risks require increased control that challenges the companies organizationally. The risks and control needs are a reason to involve farmers in ICS procedures and innovatively adapt the ICS by means of a bypass around formal perspective restrictions. The paper discusses different perspectives on risks, risk control and certification.

Streamlining internal control processes and strengthening management controls with less effort /

Item 851-J

Special section on intelligent control systems and signal processing

The IFAC International Conference on Intelligent Control Systems and Signal Processing (ICONS 2003) was organized under the auspices of the recently founded IFAC Technical Committee on Cognition and Control, and it was the first IFAC event specifically devoted to this theme. Recognizing the importance of soft-computing techniques for fields covered by other IFAC Technical Committees, ICONS 2003 was a multi-track Conference, co-sponsored by four additional Technical Committees: Computers for Control, Optimal Control, Control in Agriculture, and Modelling, Identification and Signal Processing. The Portuguese Society for Automatic Control (APCA) hosted ICONS 2003, which was held at the University of Algarve, Faro, Portugal.

Moderating effects of management control systems and innovation on performance. Simple methods for correcting the effects of measurement error for interaction effects in small samples

In the accounting literature, interaction or moderating effects are usually assessed by means of OLS regression and summated rating scales are constructed to reduce measurement error bias. Structural equation models and two-stage least squares regression could be used to completely eliminate this bias, but large samples are needed. Partial Least Squares are appropriate for small samples but do not correct measurement error bias. In this article, disattenuated regression is discussed as a small sample alternative and is illustrated on data of Bisbe and Otley (in press) that examine the interaction effect of innovation and style of use of budgets on performance. Sizeable differences emerge between OLS and disattenuated regression

Management control systems and effectiveness of knowledge sharing

Numerous empirical studies on knowledge management have examined the relative effectiveness of various enablers, such as organizational structure (Bennett and Gabriel, 1999; Gold et aI., 2001), technology (Gold et aI., 2001; O'Dell and Grayson, 1998), culture (DeLong and Fahey, 2000; Gupta and Govindarajan, 2000), managerial system (Nonaka, 1994; Sveiby, 1997) and strategy (Bierly and Chakrabarti, 1996; Holsapple and Joshi, 2001) on knowledge creation and sharing in organizations. Little research has focused on the role of management control systems (MCS) in facilitating knowledge sharing in knowledge-intensive firms (Ditillo, 2004). This study examines how the interactive use of management control systems (MCS) could facilitate the different modes of knowledge sharing among accounting professionals in Malaysia. Based on Nonaka's (1994) knowledge sharing mode, this study found a highly significant relationship between an interactive use of MCS and knowledge sharing to suggest that a more open, less fmancial-oriented and more interactive type of MCS tends to interlink and underpin organizational social process which is the central part of the knowledge sharing process. While professional accountants are generally keen to gain access to knowledge databases to source for possible task solutions, they are generally hesitant to share their tacit knowledge by transforming that knowledge into explicit form. The fmding suggests that there may be cultural-related factors that inhibit sharing of one's tacit knowledge totally and completely.

Management control systems and organisational learning: the effects of design and use

Purpose – The purpose of this paper is to present a study on relationships between the design of management control systems (MCS), the use of MCS and organisational learning (OL). Design/methodology/approach – This study adopted a survey method. A written questionnaire was prepared and mailed out to collect quantitative data. After analysis of the empirical results, follow-up interviews were conducted to develop a deeper understanding of the empirical results. Findings – Findings of the study show that both the design and use of MCS are significantly associated with levels of OL activities in organisations, and the use of MCS is found to be a more influential factor in OL. Originality/value – This paper contributes to the accounting literature by providing empirical evidence on the relative impacts of the design and use of MCS on OL activities in organisations and the interaction between the design and use of MCS in influencing OL.

Internal control weakness and accounting conservatism in China

Purpose: The purpose of this study is to investigate the impact of internal control weaknesses on accounting conservatism in Chinese listed firms. It also investigates the relationship between the demand for external audit and accounting conservatism, and whether additional assurance of internal control reports (ICRs) can mitigate the negative impact of ICWs on accounting conservatism.

Design/methodology/approach: An empirical research approach is taken through the use of ordinary least squares (OLS) models and hand-collected internal control weakness data from ICRs released by Chinese listed firms.

Findings: The results of this paper show that the existence of ICWs has a negative effect on accounting conservatism in China. Further, the results demonstrate that both accounting-related and non-accounting-related ICWs affect accounting conservatism. The authors also find that there is a complementary relationship between accounting conservatism and the demand for additional assurance of ICRs, and additional assurance of ICRs can mitigate the negative impact of ICWs on accounting conservatism.

Practical Implications: This study provides timely evidence to Chinese regulators of the possible economic consequences of the official implementation of internal control standard in China from 2012. The findings of this paper can also benefit regulators around the world and, in particular, the regulators in emerging markets that are considering implement regulations similar to the US SOX.

Originality/value: The paper demonstrates that a wider scope of ICWs, including non-accounting-related ICWs, also has a significant impact on accounting conservatism. Therefore, this research provides a more general evidence on the relationship between internal control quality and accounting conservatism.

Procedimentos contabilísticos e a sua imprtância no controlo interno

Dissertação de Mestrado apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Contabilidade e Finanças, sob orientação do Doutor Carlos Quelhas Martins

Conditional distribution modeling for estimating and exploiting uncertainty in control systems

This paper presents a general methodology for estimating and incorporating uncertainty in the controller and forward models for noisy nonlinear control problems. Conditional distribution modeling in a neural network context is used to estimate uncertainty around the prediction of neural network outputs. The developed methodology circumvents the dynamic programming problem by using the predicted neural network uncertainty to localize the possible control solutions to consider. A nonlinear multivariable system with different delays between the input-output pairs is used to demonstrate the successful application of the developed control algorithm. The proposed method is suitable for redundant control systems and allows us to model strongly non Gaussian distributions of control signal as well as processes with hysteresis.

Multi-valued control problems and mixture density network

We have proposed a novel robust inversion-based neurocontroller that searches for the optimal control law by sampling from the estimated Gaussian distribution of the inverse plant model. However, for problems involving the prediction of continuous variables, a Gaussian model approximation provides only a very limited description of the properties of the inverse model. This is usually the case for problems in which the mapping to be learned is multi-valued or involves hysteritic transfer characteristics. This often arises in the solution of inverse plant models. In order to obtain a complete description of the inverse model, a more general multicomponent distributions must be modeled. In this paper we test whether our proposed sampling approach can be used when considering an arbitrary conditional probability distributions. These arbitrary distributions will be modeled by a mixture density network. Importance sampling provides a structured and principled approach to constrain the complexity of the search space for the ideal control law. The effectiveness of the importance sampling from an arbitrary conditional probability distribution will be demonstrated using a simple single input single output static nonlinear system with hysteretic characteristics in the inverse plant model.

Internal Control application : Empirical evidence from Sweden

Aim The aim of this study is to explore based on internationally recognised frameworks: 1. how internal control structures are applied in Sweden among different sectors; 2. how organizational size and environment affect internal control structures; and 3. the impact of internal control structures on organizational performance. Methods A quantitative method was used in the data collection and analysis. The sample consisted of 1117 organizations operating in Sweden. A mean analysis was conducted to measure the level of internal control structures among different industries, organizational sizes, and different choices of listing in the stock exchange market. Person’s correlation analysis was then used to explore possible correlations between external environmental factors and internal control structures, and internal control structures and organizational performance. Lastly, a structural model was built to measure the impact of internal control structures on organizational performance. The measurements of internal control structures and organizational performance are based on COSO framework’s principles and objectives. Results This study gives an insight on how internal control structures are applied across industrial sectors in Sweden, with financial institutions and manufacturing organizations having notably higher levels of internal control structures. Additionally, it provides evidence of the impact external environmental factors have on internal control structures. Furthermore, it shows that organizations that are listed in the Swedish stock exchange market have an equivalent level of internal control structures to those registered in the American stock exchange market. In contrast, organisations that are not listed in the stock exchange market have a notably lower level of internal control structures. Lastly, it illustrates the positive impact the presence of internal control structures has on organizational performance. 3 | P a g e Conclusion The results highlight a crucial role the supervisory authority Finansinspektionen (FI) has in regulating the Swedish financial market. They also show that the stability of the Swedish business environment has had a positive impact on the level of internal control structures.

International risk management:systems, internal control and corporate governance

This book is very practical in its international usefulness (because current risk practice and understanding is not equal across international boundaries). For example, an accountant in Belgium would want to know what the governance regulations are in that country and what the risk issues are that he/she needs to be aware of. This book covers the international aspect of risk management systems, risk and governance, and risk and accounting. In doing so the book covers topics such as: internal control and corporate governance; risk management systems; integrating risk into performance management systems; risk and audit; governance structures; risk management of pensions; pension scheme risks e.g. hedging derivatives, longevity bonds etc; risk reporting; and the role of the accountant in risk management. There are the case studies through out the book which illustrate by way of concrete practical examples the major themes contained in the book. The book includes highly topical areas such as the Sarbanes Oxley Act and pension risk management.