Business Commons^™

Food Product Target Market Prioritization Using Mcdm Approaches, Mohammadsadegh Mobin, Mohammad Dehghanimohammadabadi, Christian Salmon

Mohammadsadegh Mobin

This paper applies multiple Multi-Criteria Decision Management (MCDM) methods as a mechanism for identifying international markets for a producing nation’s food production. The specific application presented in this paper is for export markets of Iranian Pistachios; however, the model could be applicable across multiple food products and nations. Quantitative and qualitative criteria for market assessment were identified via a literature review. These include: 1) Regulation criterion, 2) Cultural criterion, 3) Transportation distance criterion, 4) Economy criterion, 5) Market potential criterion, 6) Politics criterion, 7) Revealed Comparative Advantage (RCA). Shannon’s Entropy method was applied to weight criteria based upon the context-dependent …

Transport Replacement And Sustainability Aspects Associated With Additive Manufacturing, Marcus R. Wigan

Marcus R Wigan

Additive manufacturing has a range of characteristics that suggest enhancements to sustainability should be possible. The nature of the process influences not only how products can be made, but also how they can be delivered. Logistics and the global supply chain are central aspects to manufacturing, and considerable attention is being paid to making the supply chain more sustainable. This often makes sound economic sense without any consideration of the environmental benefits, as this usually delivers energy reductions and reduced reworking or redelivery. Additive manufacturing has also secured increasing attention from a sustainability standpoint, but this has in the main …

Enhanced Adaptive Management: Integrating Decision Analysis, Scenario Analysis And Environmental Modeling For The Everglades, Matteo Convertino, Christy Foran, Jeffrey Keisler, Lynn Scarlett, Andrew Loschiavo, Greg Kiker, Igor Linkov

Jeffrey Keisler

Innovation And Learning Through Knowledge Gatekeepers:A Critical Examination Of The Relationship Betweentrust, Openness, And The Use Of Gatekeepers, Deogratias Harorimana Dr

Dr Deogratias Harorimana

The term ‘gatekeeper’ is widely used to represent a class of those who collect information, knowledge and contextualise this before they can share with the rest of the members of the organisation knowledge networks-both formal and informal organisations. In this study, it was found:

1 that there is a strong relationship between the openness of a given firm, as regards its knowledge sharing culture and level trust, and that firm’s use of knowledge gatekeepers

2 that the stage of a given firm’s growth corresponds to its strategic use of different types of gatekeeping.

In early and decline (renewal) stages, for …

Virtual Teams And Its Application In New Product Development, R&D And Smes, Nader Ale Ebrahim

Nader Ale Ebrahim

A comprehensive definition of virtual teams may be taken as: small temporary groups of geographically, organizationally and/or time dispersed knowledge workers who coordinate their work, predominantly with electronic information and communication technologies in order to accomplish one or more organization tasks (Ale Ebrahim et al., 2009). Nowadays, this definition have gained popularity as found in Wikipedia (wikipedia, 2011). Virtual R&D team is a kind of virtual team that concentrate on the R&D tasks and projects (Ale Ebrahim et al., 2011).

An Analysis Of Extreme Price Shocks And Illiquidity Among Systematic Trend Followers, Bernard Lee, Shih-Fen Cheng, Annie Koh

Shih-Fen Cheng

We construct an agent-based model to study the interplay between extreme price shocks and illiquidity in the presence of systematic traders known as trend followers. The agent-based approach is particularly attractive in modeling commodity markets because the approach allows for the explicit modeling of production, capacities, and storage constraints. Our study begins by using the price stream from a market simulation involving human participants and studies the behavior of various trend-following strategies, assuming initially that their participation will not impact the market. We notice an incremental deterioration in strategy performance as and when strategies deviate further and further from the …

Decentralized Decision Support For An Agent Population In Dynamic And Uncertain Domains, Pradeep Reddy Varakantham, Shih-Fen Cheng, Thi Duong Nguyen

Shih-Fen CHENG

This research is motivated by problems in urban transportation and labor mobility, where the agent flow is dynamic, non-deterministic and on a large scale. In such domains, even though the individual agents do not have an identity of their own and do not explicitly impact other agents, they have implicit interactions with other agents. While there has been much research in handling such implicit effects, it has primarily assumed controlled movements of agents in static environments. We address the issue of decision support for individual agents having involuntary movements in dynamic environments . For instance, in a taxi fleet serving …

Lagrangian Relaxation For Large-Scale Multi-Agent Planning, Geoff Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Shih-Fen Cheng

Shih-Fen Cheng

Multi-agent planning is a well-studied problem with various applications including disaster rescue, urban transportation and logistics, both for autonomous agents and for decision support to humans. Due to computational constraints, existing research typically focuses on one of two scenarios: unstructured domains with many agents where we are content with heuristic solutions, or domains with small numbers of agents or special structure where we can provide provably near-optimal solutions. By contrast, in this paper, we focus on providing provably near-optimal solutions for domains with large numbers of agents, by exploiting a common domain-general property: if individual agents each have limited influence …

Lagrangian Relaxation For Large-Scale Multi-Agent Planning, Geoff Gordon, Pradeep Reddy Varakantham, William Yeoh, Ajay Srinivasan, Hoong Chuin Lau, Shih-Fen Cheng

Shih-Fen CHENG

Multi-agent planning is a well-studied problem with applications in various areas. Due to computational constraints, existing research typically focuses either on unstructured domains with many agents, where we are content with heuristic solutions, or domains with small numbers of agents or special structure, where we can find provably near-optimal solutions. In contrast, here we focus on provably near-optimal solutions in domains with many agents, by exploiting influence limits. To that end, we make two key contributions: (a) an algorithm, based on Lagrangian relaxation and randomized rounding, for solving multi-agent planning problems represented as large mixed-integer programs; (b) a proof of …

Notes On Equilibria In Symmetric Games, Shih-Fen Cheng, Daniel M. Reeves, Yevgeniy Vorobeychik, Michael P. Wellman

Shih-Fen CHENG

In a symmetric game, every player is identical with respect to the game rules. We show that a symmetric 2strategy game must have a pure-strategy Nash equilibrium. We also discuss Nash’s original paper and its generalized notion of symmetry in games. As a special case of Nash’s theorem, any finite symmetric game has a symmetric Nash equilibrium. Furthermore, symmetric infinite games with compact, convex strategy spaces and continuous, quasiconcave utility functions have symmetric pure-strategy Nash equilibria. Finally, we discuss how to exploit symmetry for more efficient methods of finding Nash equilibria.

Distributing Complementary Resources Across Multiple Periods With Stochastic Demand, Shih-Fen Cheng, John Tajan, Hoong Chuin Lau

Shih-Fen CHENG

In this paper, we evaluate whether the robustness of a market mechanism that allocates complementary resources could be improved through the aggregation of time periods in which resources are consumed. In particular, we study a multi-round combinatorial auction that is built on a general equilibrium framework. We adopt the general equilibrium framework and the particular combinatorial auction design from the literature, and we investigate the benefits and the limitation of time-period aggregation when demand-side uncertainties are introduced. By using simulation experiments, we show that under stochastic conditions the performance variation of the process decreases as the time frame length (time …

Designing The Market Game For A Commodity Trading Simulation, Shih-Fen Cheng

Shih-Fen CHENG

In this paper, we propose to design a market game that (a) can be used in modeling and studying commodity trading scenarios, and (b) can be used in capturing human traders' behaviors. Specifically, we demonstrate the usefulness of this commodity trading game in a single-commodity futures trading scenario. A pilot experiment was run with a mixture of human traders and an autonomous agent that emulates the aggregatedmarket condition, with the assumption that this autonomous agent would hint each of its action through a public announcement. We show that the information collected from this simulation can be used to extract the …

Decision Support For Assorted Populations In Uncertain And Congested Environments, Pradeep Reddy Varakantham, Asrar Ahmed, Shih-Fen Cheng

Shih-Fen Cheng

This research is motivated by large scale problems in urban transportation and labor mobility where there is congestion for resources and uncertainty in movement. In such domains, even though the individual agents do not have an identity of their own and do not explicitly interact with other agents, they effect other agents. While there has been much research in handling such implicit effects, it has primarily assumed deterministic movements of agents. We address the issue of decision support for individual agents that are identical and have involuntary movements in dynamic environments. For instance, in a taxi fleet serving a city, …

An Analysis Of Extreme Price Shocks And Illiquidity Among Trend Followers, Bernard Lee, Shih-Fen Cheng, Annie Koh

Shih-Fen CHENG

We construct an agent-based model to study the interplay between extreme price shocks and illiquidity in the presence of systematic traders known as trend followers. The agent-based approach is particularly attractive in modeling commodity markets because the approach allows for the explicit modeling of production, capacities, and storage constraints. Our study begins by using the price stream from a market simulation involving human participants and studies the behavior of various trend-following strategies, assuming initially that their participation will not impact the market. We notice an incremental deterioration in strategy performance as and when strategies deviate further and further from the …

A Mechanism For Organizing Last-Mile Service Using Non-Dedicated Fleet, Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau

Shih-Fen CHENG

Unprecedented pace of urbanization and rising income levels have fueled the growth of car ownership in almost all newly formed megacities. Such growth has congested the limited road space and significantly affected the quality of life in these megacities. Convincing residents to give up their cars and use public transport is the most effective way in reducing congestion; however, even with sufficient public transport capacity, the lack of last-mile (from the transport hub to the destination) travel services is the major deterrent for the adoption of public transport. Due to the dynamic nature of such travel demands, fixed-size fleets will …

An Agent-Based Commodity Trading Simulation, Shih-Fen Cheng, Yee Pin Lim

Shih-Fen CHENG

In this paper, an event-centric commodity trading simulation powered by the multiagent framework is presented. The purpose of this simulation platform is for training novice traders. The simulation is progressed by announcing news events that affect various aspects of the commodity supply chain. Upon receiving these events, market agents that play the roles of producers, consumers, and speculators would adjust their views on the market and act accordingly. Their actions would be based on their roles and also their private information, and collectively they shape the market dynamics. This simulation has been effectively deployed for several training sessions. We will …

Iterated Weaker-Than-Weak Dominance, Shih-Fen Cheng, Michael P. Wellman

Shih-Fen CHENG

We introduce a weakening of standard gametheoretic δ-dominance conditions, called dominance, which enables more aggressive pruning of candidate strategies at the cost of solution accuracy. Equilibria of a game obtained by eliminating a δ-dominated strategy are guaranteed to be approximate equilibria of the original game, with degree of approximation bounded by the dominance parameter. We can apply elimination of δ-dominated strategies iteratively, but the for which a strategy may be eliminated depends on prior eliminations. We discuss implications of this order independence, and propose greedy heuristics for determining a sequence of eliminations to reduce the game as far as possible …

Multi-Period Combinatorial Auction Mechanism For Distributed Resource Allocation And Scheduling, Hoong Chuin Lau, Shih-Fen Cheng, Thin Yin Leong, Jong Han Park, Zhengyi Zhao

Shih-Fen CHENG

We consider the problem of resource allocation and scheduling where information and decisions are decentralized, and our goal is to propose a market mechanism that allows resources from a central resource pool to be allocated to distributed decision makers (agents) that seek to optimize their respective scheduling goals. We propose a generic combinatorial auction mechanism that allows agents to competitively bid for the resources needed in a multi-period setting, regardless of the respective scheduling problem faced by the agent, and show how agents can design optimal bidding strategies to respond to price adjustment strategies from the auctioneer. We apply our …

Engineering Innovative Mobile Data Services: Developing A Model For Value Network Analysis And Design, Mutaz M. Al-Debei, Enas M. Al-Lozi, Guy Fitzgerald

Dr. Mutaz M. Al-Debei

Purpose – This study aims to analytically develop a reference model for engineering (i.e. analysis, design, development, evaluation, delivery, maintenance, modification, and management) powerful value networks capable of creating innovative mobile data services. Design/methodology/approach – The paradigm followed is that of Design-Science Research (DSR) which incorporates two main iterative processes: build and evaluate. For building the model (i.e. the design science artifact in this research), we followed three iterations: (1) Literature Review Analysis; (2) Semi-Structured Interviews analyzed through content analysis; and (3) examination of real-life case studies. But for evaluating the model, we utilized the NTT DoCoMo’s i-mode case. Findings …

Securing Access To Lower-Cost Talent Globally: The Dynamics Of Active Embedding And Field Structuration, Stephan Manning, Joerg Sydow, Arnold Windeler

Stephan Manning

This article examines how multinational corporations (MNCs) shape institutional conditions in emerging economies to secure access to high-skilled, yet lower-cost science and engineering talent. Based on two in-depth case studies of engineering offshoring projects of German automotive suppliers in Romania and China we analyze how MNCs engage in ‘active embedding’ by aligning local institutional conditions with global offshoring strategies and operational needs. MNCs thereby contribute to the structuration of field relations and practices of sourcing knowledge-intensive work from globally dispersed locations.Our findings stress the importance of institutional processes across geographic boundaries that regulate and get shaped by MNC activities.

A Value-Based Approach For Explaining The Adoption Intention Of Mobile Data Services, Mutaz M. Al-Debei

Dr. Mutaz M. Al-Debei

This study aims at explaining the factors affecting the adoption intention of mobile data services from the perspective of consumers as users. In this study we focus on the value users can potentially gain from using these services. We hypothesize that if we can examine users' utilitarian, hedonic, uniqueness, epistemic and economic value, then we can explain and predict their intention to use mobile data services. Our results show that utilitarian value is according to previous studies an important adoption factor. Additionally, economic value is also important and significant. Nevertheless, it seems that in our context, hedonic, uniqueness, and epistemic …

Cfp: Handbook Of Research On Technological Applications And Innovation For Economic Development, Deogratias Harorimana Mr

Dr Deogratias Harorimana

The innovation in the 21st century goes significantly beyond the high-tech picture driven by small or large industry clusters in a specific region-typically Silicon Valley and M4Corridor. The future of innovation will lie within knowledge management and seamless technological applications. These will be supported by planned funding strategies, possibly with clients as drivers of the innovation. This view seems to be supported by the UK government “Technology and Innovation Futures” (2011); the USA government (2011), study into which leading scholars concede that the future innovation and technological applications for economic growth will include products and processes, improvements in areas such …

An Empirical Investigation Of Entrepreneurship Intensity In Iranian State Universities, Behin Elahi

Behin Elahi

The purpose of this study is to propose a framework to evaluate the entrepreneurship intensity (EI) of Iranian state universities. In order to determine EI, a hybrid multimethod framework consisting of Delphi, Analytic Network Process (ANP), and VIKOR is proposed. The Delphi method is used to localize and reduce the number of criteria extracted from a deep literature review, according to the social and economic conditions of Iranian state universities by using an expert panel, including sixty-eight country-wide academicians and practitioners. After that, a group approach to ANP was utilized as an evaluation method to derive the weights of each …

The Quality And Acceptance Of Websites: An Empirical Investigation In The Context Of Higher Education, Mutaz M. Al-Debei

Dr. Mutaz M. Al-Debei

The aim of this study is to explain the main factors affecting behavioural intentions of students to regularly use university websites in the future. Universities are investing millions of dollars in developing high quality websites as they believe that this course of action can provide them with significant strategic benefits. Notwithstanding, little is known about what attracts students to regularly use university websites and our understanding in this context is by no means complete. Aiming to advance our knowledge in this domain, this study utilises a novel model that is developed on the basis of three well-established theories in the …

Developing And Implementing A Web Portal Success Model, Dima Jalal, Mutaz M. Al-Debei

Dr. Mutaz M. Al-Debei

The emergence and subsequent spreading of new technologies, such as Web portals, has changed the way people handle information, communicate, share knowledge, and perform tasks. The use of different information technologies and systems offers the potential for substantially improving performance not only at the organizational level but also at the individual level. However, performance gains are often obstructed by users' unwillingness to accept and use available systems and technologies. This paper aims at examining the role of Web portals in improving the overall performance at the individual level in terms of task productivity and innovation, customer satisfaction, and management control. …

Measuring Web Portals Success: A Respecification And Validation Of The Delone And Mclean Information Systems Success Model, Mutaz M. Al-Debei, Dima Jalal, Enas Al-Lozi

Dr. Mutaz M. Al-Debei

The main aim of this research is to investigate the role of web portals in improving job performance at the individual level from the perspective of employees as users. This is deemed significant as yet little research has assessed the success of web portals in delivering benefits at the individual level in terms of improved performance in developing countries. The DeLone and McLean IS success model was used as a foundational theory and then was refined to match the context of the current research. In fact, the functions and features of portals were identified, clustered and then linked to portals’ …

A Neural Network Decision-Making Model For Job-Shop Scheduling”, Davood Golmohammadi Phd

Davood Golmohammadi

Scheduling in a job-shop system is a challenging task. Simulation modelling is a well-known approach for evaluating the scheduling plans of a job-shop system; however, it is costly and time-consuming, and developing a model and interpreting the results requires expertise. As an alternative, we have developed a neural network (NN) model focused on detailed scheduling that provides a versatile job-shop scheduling analysis framework for management to easily evaluate different possible scheduling scenarios based on internal or external constraints. A new approach is also proposed to enhance the quality of training data for better performance. Previous NN models in scheduling focus …

Virtual Teams And E-Entrepreneurship, Nader Ale Ebrahim

Nader Ale Ebrahim

The advent of the virtual teams has facilitated the emergence and formation of new companies within the Net Economy which called e-Entrepreneurship. The terms of e-Entrepreneurship and virtual teams still are new in the scholarly papers. Therefore, this introductory presentation focuses on different aspects of virtual teams and e-entrepreneurship.

Ict For Poverty Alleviation In Pacific Island Nations: Study Of Icts4d In Fiji, Deogratias Harorimana, Opeti Rokotuinivono, Emali Sewale, Fane Salaiwai, Marica Naulu, Evangelin Roy

Dr Deogratias Harorimana

ICT for Poverty Alleviation in Pacific Island Nations: Study of ICTs4D in Fiji There has been a vague and little knowledge on the role or potential of Information and Communications Technologies (ICTs) in relation to addressing poverty in Fiji. This may be probably due to the newness of the technology in the South Pacific Region as a whole but also probably due to the fact that only 9.7% of the current Fiji 931,000 populations are internet users (ITC Figures 2011). This paper reports on finding how ICTs is contributing towards poverty alleviation in Fiji. On the basis of reviewed best …

Process Construct In The Virtual R&D Teams, Nader Ale Ebrahim, Shamsuddin Ahmed, Salwa Hanim Abdul Rashid, Zahari Taha, Marjan Mohammadjafari Dr

Nader Ale Ebrahim

literature proves the importance of the process role in the effectiveness of virtual research and development (R&D) teams for new product development (NPD). However, the factors that make process construct in a virtual R&D team are still unclear. The manager of virtual R&D teams for NPD does not know which items of process should be used. To address the gap and answer the question, the study presents a set of factors that make a process construct. The proposed construct modified by finding of the field survey. We empirically examine the relationship between construct, dimensions and its factors by employing the …