Utomo Sarjono Putro

Actors’ interaction in the ERP implementation literature

Purpose – The purpose of this paper is to identify the existence of studies, by exploring the current literatures, on interaction among actors in Enterprise Resource Planning (ERP) implementation. Design/methodology/approach – A new classification framework is offered, along with the two dimensions of ERP implementation: determinants and outcomes, to provide four types of research classes. Hundreds of articles were searched by using keywords from journal data bases. The selected articles were grouped based on the new classification of ERP implementation, followed by an in-depth analysis by using the Context, Intervention, Mechanism, Outcomes logic and the system of systems methodologies (SOSM) framework. Findings – The interactions among actors in ERP implementation have been overlooked, although there is almost always disagreements, misperceptions, and conflicts. Managing the interactions among actors is considered important because common failures in ERP implementation are often caused by mismanaged int...

An Agent-Based Simulation Approach for Government Intervention in Reducing High-Risk HPV

This research aims to describe the phenomena of cervical cancer spreading in Indonesia limited to cervical cancer spread caused by the human papillomavirus (HPV) and proposed agent based as an alternative of decision support system for the government. This model focused on the high-risk HPV infection through human sexual behavior. Literature studies, observation, and depth interview with the experts of oncology were implemented. The agent-based simulation (ABS) illustrates the social and sexual interactions in which the HPV may spread easily. It also allows the interaction that occurred if government interventions were implemented and shows how much these actions affect the number of HPV infections. The results gave significant findings on the importance of the government intervention to prioritize on promotion and socialization program on sexual health practice in Indonesia, before implementing both the HPV vaccination (as a national program), and the improvement of the medical treatment on HPV+ patients.

Understanding Risks in Milk Supply Chain: An Agent-Based Conceptual Model

Milk production is inherently complex and risky business. Risks and complexities are involved in every production stage and process performed by each actors involved along the milk supply chain. It implies that the success of improving the performance of supply chain will in some degree depend on those actors’ ability to cope with risks and its emerging complexities. This paper proposes a concept for analyzing the risks existing in the milk supply chain. To conceptualize, the use of agent-based methodology is offered in order to capture the risk complexities in the particular chain. A basic agent-based model that can describe the actors’ behavior toward risk and the likely consequences for the entire chain completes the concept.

Agent-Based Simulations of Smallholder Decision-Making in Land Use Change/Cover (LUCC) Problem

Land conversion is one complex problem which includes actors and factors with different social levels. In the process of land use change, every small change in decision-making methods used by individuals may significantly affect the outcomes. Agent-based modeling and simulation (ABMS) is a common approach to analyze and simulate the process of land use change as the result of individual decisions. This paper firstly describes the general problem of agricultural land conversion (ALC) in Jambi Province, Indonesia, in particular in connection to the smallholders’ role. It is then followed by the brief explanation on factors influencing the smallholders’ behaviors. Then, conceptual framework of ABMS in analyzing land conversion as one kind of the land use change/cover (LUCC) processes is presented enriched with agent topologies and the decision-making processes on the agricultural land conversion problem. Finally the proposed model is illustrated through a preliminary case study in Jambi Province, and some scenario on the effect of interaction between farmers and government is described. The framework is still a general approach to analyze simple LUCC problem using ABMS approach.

People’s Willingness to Donate Blood: Agent-Based Approach

In cases where a trial-and-error experiment is costly or impossible, especially in healthcare industry, researchers have used simulation modeling to avoid the risk caused by a trial-and-error experiment. In healthcare industry, blood supply plays an important role because the shortage of blood could make people’s life at risk. In most countries in Southeast Asia, including Indonesia, blood services have not been considered as an essential service for healthcare support program. Moreover, blood supply chain in low-and-middle-income countries has different characteristics and challenges compared to the high-income countries. For developing countries, one of the important factors is the number of donors. This research conducted to see how the agent makes decision about donating their blood. Finding?

Value Co-creation Platform as Part of an Integrative Group Model-Building Process in Policy Development in Indonesia

The Indonesian government nowadays faces multidimensional and multifaceted problems that require a more proper framework of policy making. Group model building (GMB), in parallel with system dynamics, becomes a successful methodology in policy making though some weaknesses exist. We have proposed an integrative GMB process by adapting the framework of value co-creation and orchestration platform to overcome those problems. Three management strategies of value co-creation as the main findings are revoked: involvement, curation, and empowerment. Those keywords are inputted to improve the GMB process and applied to the wicked problems found in the Indonesian context that needs more integrative solution to see how the GMB platform may be implemented in the real-world problem. Although it is still an ongoing process, we can see that by adapting the value co-creation platform as part of the GMB process, it is advantageous in defining what activities should be done by each actor (e.g., facilitator, modeler, stakeholders) in order to have a better policy recommendation in the part of policy making and policy development process.

EMPLOYING AGENT-BASED SIMULATION TO UNDERSTAND THE BEHAVIOR OF DOMESTIC BEEF-CATTLE PRODUCTION

The purpose of this paper is mainly to understand the behavior of domestic beef production through estimating the dynamics of domestic cattle population. Agent based model (ABM) approach and its simulation is employed in this study. The main reason to use this approach is on its capability to accommodate the complexity given existing characteristics in cattle and beef production system. Based on the findings, agent-based model approach performs well in explaining the emergent behavior for agricultural production system, especially cattle production system. Several important implications have also been drawn from this study. Therefore, this study has generated several new insights that will be advantages for further studies.

Managing Collaboration Using Agent Based Simulation

The purpose of the present research is to identify, analyze and simulate dynamics of interaction and conflicts among agents using drama theory, and to apply it in Citarum river basin problem. To accomplish the purpose, we first model the process in terms of drama theory that is combined with emotional state model (PAD). One of the reasons why we adopt drama theory is that it primarily focuses on dilemma or paradox arising from rational goal seeking behavior. It also provides us with rigorous analytical and computational tools of conflict analysis.Then, we propose a simulation model to describe both of dilemma of conflict, i.e., persuasion and rejection dilemma among the agents, and the dilemma of collaboration (trust dilemma) among the agents. Finally, we conduct agent-based simulation by using SOARS (Spot Oriented Agent Role Simulator ) to obtain some fruitful suggestions for encouraging their collaboration.

Why should I Believe Your Signal? An Application of Adaptive Learning Model of Hypergame in Competitive Signaling Interaction

This paper aims to get a better understanding of the dynamic process in the competitive signaling interaction, by studying the process from hypergame perspective. Competitive signaling interaction in this paper is about under what condition a company should believe its competitor’s announcement in the interaction between a company who sends a price increase signal and who can choose between telling the truth and bluffing, and a company who receive the signal which has to decide whether or not to believe the sender. First, the concept of competitive signaling as a hypergame situation is identified. Then, the adaptive learning model of hypergame is described. Based on the model, this research proposed a new learning procedure to support a receiving firm, who faces the uncertainty of sender’s motive, to learn the objective situation. Finally, by examining the simulation results, this research point out that a receiving firm which is supported with the learning procedure could learns the sender’s motive, makes a better decision, and takes an action appropriate with it.