Using Serious Games for Collecting and Modeling Human Procurement Decisions in a Supply Chain Context

2012 ◽  
pp. 135-156
Author(s):  
Souleiman Naciri ◽  
Min-Jung Yoo ◽  
Rémy Glardon
Keyword(s):  
Decision Making ◽  
Computer Simulation ◽  
Supply Chain ◽  
Operations Management ◽  
Simulation Models ◽  
Human Agent ◽  
Human Decision ◽  
Planning Processes ◽  
The Impact ◽  
A Company

Computer simulation is often used for studying specific issues in supply chains or for evaluating the impact of eligible design and calibration solutions on the performance of a company and its supply chain. In computer simulations, production facilities and planning processes are modeled in order to correctly characterize the supply chain behavior. However, very little attention has been given so far in these models to human decisions. Because human decisions are very complex and may vary across individuals or with time, they are largely neglected in traditional simulation models. This restricts the models’ reliability and utility. The first thing that must be done in order to include human decisions in simulation models is to capture how people actually make decisions. This chapter presents a serious game called DecisionTack, which was specifically developed to capture the human decision-making process in operations management (the procurement process). It captures both the information the human agent consults and the decisions he or she makes.

Using Serious Games for Collecting and Modeling Human Procurement Decisions in a Supply Chain Context

2012 ◽  
pp. 744-765
Author(s):  
Souleiman Naciri ◽  
Min-Jung Yoo ◽  
Rémy Glardon
Keyword(s):  
Decision Making ◽  
Computer Simulation ◽  
Supply Chain ◽  
Operations Management ◽  
Simulation Models ◽  
Human Agent ◽  
Human Decision ◽  
Planning Processes ◽  
The Impact ◽  
A Company

Computer simulation is often used for studying specific issues in supply chains or for evaluating the impact of eligible design and calibration solutions on the performance of a company and its supply chain. In computer simulations, production facilities and planning processes are modeled in order to correctly characterize the supply chain behavior. However, very little attention has been given so far in these models to human decisions. Because human decisions are very complex and may vary across individuals or with time, they are largely neglected in traditional simulation models. This restricts the models’ reliability and utility. The first thing that must be done in order to include human decisions in simulation models is to capture how people actually make decisions. This chapter presents a serious game called DecisionTack, which was specifically developed to capture the human decision-making process in operations management (the procurement process). It captures both the information the human agent consults and the decisions he or she makes.

Decision-Making Coordination within Three-Echelon Supply Chains

2011 ◽  
pp. 93-107
Author(s):  
Jairo R. Montoya-Torres
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Process Simulation ◽  
Simulation Models ◽  
Chain Model ◽  
Total System ◽  
Direct Relation ◽  
Supply Chain Model ◽  
Brownian Process ◽  
The Impact

Supply chain performance is highly influenced by the coordination level between its members, which needs information sharing. In this paper we consider a three-echelon direct sell supply chain model and focus on the problem of coordinated decision-making between its members. Our contribution is a first approach that measures the impact of the degree of coordination between the members. Demand behavior is modeled using a geometric Brownian process. Simulation models are run in order to analyze various cooperation scenarios. Our results show a direct relation between the degree of coordination within the supply chain and the total system cost. Although this result is intuitive, our simulations allowed us to quantify such a relation and in which measure these costs are whether or not associated to imperfect coordination.

scholarly journals Quantifying the Impact of Production Globalization through Application of the Life Cycle Inventory Methodology and Its Influence on Decision Making in Industry

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1271
Author(s):  
Humberto. J. Prado-Galiñanes ◽  
Rosario Domingo
Keyword(s):  
Decision Making ◽  
Carbon Footprint ◽  
Chain Model ◽  
Fundamental Factor ◽  
Supply Chain Model ◽  
The Social ◽  
The Impact ◽  
A Company ◽  
Key Parameter ◽  
Do So

Industries are nowadays not only expected to produce goods and provide services, but also to do this sustainably. What qualifies a company as sustainable implies that its activities must be defined according to the social and ecological responsibilities that are meant to protect the society and the environment in which they operate. From now on, it will be necessary to consider and measure the impact of industrial activities on the environment, and to do so, one key parameter is the carbon footprint. This paper demonstrates the utility of the LCI as a tool for immediate application in industries. Its application shall facilitate decision making in industries while choosing amongst different scenarios to industrialize a certain product with the lowest environmental impact possible. To achieve this, the carbon footprint of a given product was calculated by applying the LCI method to several scenarios that differed from each other only in the supply-chain model. As a result of this LCI calculation, the impact of the globalization of a good’s production was quantified not only financially, but also environmentally. Finally, it was concluded that the LCI/LCA methodology can be considered as a fundamental factor in the new decision-making strategy that sustainable companies must implement while deciding on the business and industrial plan for their new products and services.

scholarly journals Women on corporate boards and allocation of capital raised through IPOs

2019 ◽  
Vol 57 (3) ◽  
pp. 547-568 ◽  
Author(s):  
Bazeet Olayemi Badru ◽  
Nurwati A. Ahmad-Zaluki ◽  
Wan Nordin Wan-Hussin
Keyword(s):  
Decision Making ◽  
Governance Structure ◽  
Capital Allocation ◽  
Strategic Decision ◽  
Corporate Boards ◽  
Content Type ◽  
Investment Opportunities ◽  
Women On Corporate Boards ◽  
The Impact ◽  
A Company

Purpose The purpose of this paper is to examine whether the differences in men and women, such as risk aversion in decision making, can influence the amount of capital that the board of directors can allocate for investment opportunities. Design/methodology/approach This study sampled 212 IPOs over the period of 2005–2015 and employed the OLS and the quantile regression techniques to examine the impact of female directors on capital allocation. Findings The results show that women on corporate boards have a positive influence on the amount of capital an IPO company can allocate for investment opportunities. These findings suggest that the investment strategies of women in an emerging financial market, like Malaysia, may differ from women in other financial markets. Practical implications The presence of women on corporate boards plays an important role in board involvement in a company’s strategic decision at the time of the IPO. Therefore, regulators and IPO issuers should pay close attention to the corporate governance structure of a company at the time of an IPO. In addition, investors and other stakeholders of a company may consider women on corporate boards as an important factor in financing and investment decisions. Originality/value Despite several studies that have examined the influence of women on corporate boards on corporate outcomes, globally, the presence of women on corporate boards and their influence on corporate decision-making related to allocation of capital to investment opportunities, have not been fully explored in the IPO literature.

Quantitative Models in Supply Chain Management

2011 ◽  
pp. 285-312
Author(s):  
Esmaeel Moradi ◽  
Mohammad Reza Ghezel Arsalan ◽  
Ali Naimi Sadigh ◽  
Hamed Fallah Roshan Ghalb
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Simulation Models ◽  
Chain Management ◽  
Quantitative Models

Moreover, a wide review given by Terzi and Cavalieri (2004) on more than 80 papers about simulation in the supply chain context is used in this chapter. The main goal of this review is to determine which objectives simulation is used to solve the problems, which simulation models are more appropriate and useful for supporting the decision making in the supply chain.

Quantitative Risk Management Models for Newsvendor Supply Chains

2011 ◽  
pp. 155-170
Author(s):  
Dimitrios Vlachos
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Stochastic Environment ◽  
Supply Chain Disruptions ◽  
Supply Chain Networks ◽  
Starting Point ◽  
The Impact ◽  
A Company

As the practices of offshoring and outsourcing force the supply chain networks to keep on expanding geographically in the globalised environment, the logistics processes are becoming more exposed to risk and disruptions. Thus, modern supply chains seem to be more vulnerable than ever. It is clear that efficient logistics risk and security management emerges as an issue of pivotal importance in such competitive, demanding and stochastic environment and is thus vital for the viability and profitability of a company. In this context, this chapter focuses on a set of stochastic quantitative models that study the impact of one or more supply chain disruptions on optimal determination of single period inventory control policies. The purpose of this research is to provide a critical review of state-of-the-art methodologies to be used as a starting point for further research efforts.

scholarly journals Greenness and Pricing Decisions of Cooperative Supply Chains Considering Altruistic Preferences

2018 ◽  
Vol 16 (1) ◽  
pp. 51 ◽  
Author(s):  
Hui Huang ◽  
Juan Zhang ◽  
Xuan Ren ◽  
Xiang Zhou
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Competitive Advantage ◽  
Focus Of Attention ◽  
Green Products ◽  
Environmental Pressures ◽  
Pricing Decisions ◽  
Science Technology ◽  
The Impact ◽  
Preference Coefficient

With the development of the economy and science technology, global resource shortages and environmental pressures have become the focus of attention. More and more consumers tend to buy non-polluting and environmentally friendly green products, and many manufacturers and retailers are beginning to produce or sell green products to enhance their competitive advantage in the market. Considering the green preference attributes of consumers, the altruistic preference is introduced into the supply chain, and we establish four models: two cooperative manufacturers and one retailer are completely self-interested, one retailer has altruistic preference, two cooperative manufacturers have altruistic preferences, and two cooperative manufacturers and one retailer have altruistic preferences. We address the optimal greenness and pricing decisions of supply chain members, and analyze the impact of altruistic preferences on supply chain decision-making and profits. The results show that the altruistic preference coefficient can significantly affect the decision-making and the profits of supply chain members, and when two manufacturers and one retailer consider altruistic preferences, the altruistic preference coefficients adopted by the three parties are in the certain ranges, the supply chain members’ altruistic preference coefficients can increase the whole supply chain profit. Through analysis, in the three cases where the retailer has altruistic preferences, two manufacturers have altruistic preferences, and two manufacturers and one retailer have altruistic preferences, two manufacturers should adopt higher altruistic preference coefficients, and the retailer should adopt a lower altruistic preference coefficient, and the product greenness under the three altruistic preferences is higher than the product greenness when there is no altruistic preference.

scholarly journals Simulation Modeling of the Sustainable Supply Chain

2020 ◽  
Vol 12 (15) ◽  
pp. 6007 ◽  
Author(s):  
Patrycja Hoffa-Dabrowska ◽  
Katarzyna Grzybowska
Keyword(s):  
Sustainable Development ◽  
Supply Chain ◽  
Global Economy ◽  
Simulation Models ◽  
Exhaust Emissions ◽  
Simulation Tool ◽  
Sustainable Supply Chain ◽  
Use Of Resources ◽  
Negative Impacts ◽  
The Impact

The development of the global economy affects the environment in which we are living, often in negative ways, including pollutions, exhaust emissions, depletion of natural resources, and other concerns. Therefore, it is so important to use resources in a reasonable, sustainable manner and to be aware of the impact of our activities on the environment, which in the next stage translates into trying to limit negative impacts to the environment. Aspects of sustainable supply chain (SSC) have become more and more popular in the last years. Entrepreneurs pay more attention to the aspect of sustainable development in their activities, especially to exhaust emissions. The rational use of resources is also a very important topic. Not only economic aspects but also environmental and social topics are taken into account in company politics, which is characteristic of sustainable development. The main purpose of this article is to show the benefits of SSC. For this purpose, the simulation models showing the supply chain and the sustainable supply chain will be built. The benefits of SSC in economic and environmental aspects will be presented using a computer simulation tool. Using a simulation tool fits in with sustainability; thanks to modeling supply chains in their virtuality and analysis, many resources can be saved in reality (for example, thanks to the consolidation of freight).

The influence of big data analytics management capabilities on supply chain preparedness, alertness and agility

2019 ◽  
Vol 32 (2) ◽  
pp. 297-318 ◽  
Author(s):  
Santanu Mandal
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Supply Chain ◽  
Data Analytics ◽  
Investment Decision ◽  
Big Data Analytics ◽  
Content Type ◽  
Investment Decision Making ◽  
Management Capabilities ◽  
The Impact

Purpose The importance of big data analytics (BDA) on the development of supply chain (SC) resilience is not clearly understood. To address this, the purpose of this paper is to explore the impact of BDA management capabilities, namely, BDA planning, BDA investment decision making, BDA coordination and BDA control on SC resilience dimensions, namely, SC preparedness, SC alertness and SC agility. Design/methodology/approach The study relied on perceptual measures to test the proposed associations. Using extant measures, the scales for all the constructs were contextualized based on expert feedback. Using online survey, 249 complete responses were collected and were analyzed using partial least squares in SmartPLS 2.0.M3. The study targeted professionals with sufficient experience in analytics in different industry sectors for survey participation. Findings Results indicate BDA planning, BDA coordination and BDA control are critical enablers of SC preparedness, SC alertness and SC agility. BDA investment decision making did not have any prominent influence on any of the SC resilience dimensions. Originality/value The study is important as it addresses the contribution of BDA capabilities on the development of SC resilience, an important gap in the extant literature.

scholarly journals Network Trust and Trust Behaviors Among Executives in Supply Chain Interactions

2020 ◽  
Vol 66 (12) ◽  
pp. 5823-5849
Author(s):  
Emily W. Choi ◽  
Özalp Özer ◽  
Yanchong Zheng
Keyword(s):  
Supply Chain ◽  
Operations Management ◽  
Work Experience ◽  
External Validation ◽  
Multimethod Research ◽  
High Ranking ◽  
Professional Experiences ◽  
Wide Range ◽  
Trust Beliefs ◽  
The Impact

We integrate the results of a social network survey and a forecast information sharing experiment to examine the roles of trust and trustworthiness in impacting high-ranking executives’ decisions in supply chain interactions. The members of our executive sample have, on average, 17 years of work experience. A significant portion of them holds positions at the C-level in world-leading organizations that span a wide range of industries. By examining the roles of trust and trustworthiness in the decision making of high-ranking executives, we find strong external validation for as well as demonstrate how these nonpecuniary, behavioral factors impact the outcomes of business interactions. We employ a multimethod research design that allows us to investigate the extent to which the executives’ trust beliefs toward a relevant network of exchange partners (which we define as their “network trust”) impact their trust behaviors when engaging in business interactions with members of this network. We determine the conditions pertaining to the executives’ professional experiences that strengthen or weaken the impact of network trust on the executives’ trust behaviors in supply chain interactions. For example, executives with more diverse professional experiences rely more on network trust to shape their trust behaviors. Conversely, executives with prior positive trust experiences rely less on network trust in their trusting behaviors. We quantify that improved trust and trustworthiness can yield up to 41%, 6%, and 5% gain in the expected profit of the supplier, the retailer, and the supply chain. Our results offer tangible implications for how organizations can better leverage executives’ knowledge about how much to rely on network trust in business interactions to achieve better outcomes. This paper was accepted by Serguei Netessine, operations management.

Sign in / Sign up

Export Citation Format

Share Document