A feature-based comparison of the centralised versus market-based decision making under lens of environment uncertainty: Case of the mobile task allocation problem

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Decision making problems are amongst the most common challenges facing managers at different management levels in the organisation: strategic, tactical, and operational. However, prior reaching decisions at the operational level of the management hierarchy, operations management departments frequently have to deal with the optimisation process to evaluate the available decision alternatives. Industries with complex supply chain structures and service organisations that have to optimise the utilisation of their resources are examples. Conventionally, operational decisions used to be taken centrally by a decision making authority located at the top of a hierarchically-structured organisation. In order to take decisions, information related to the managed system and the affecting externalities (e.g. demand) should be globally available to the decision maker. The obtained information is then processed to reach the optimal decision. This approach usually makes extensive use of information systems (IS) containing myriad of optimisation algorithms and meta-heuristics to process the high amount and complex nature of data. The decisions reached are then broadcasted to the passive actuators of the system to put them in execution. On the other hand, recent advancements in information and communication technologies (ICT) made it possible to distribute the decision making rights and proved its applicability in several sectors. The market-based approach is as such a distributed decision making mechanism where passive actuators are delegated the rights of taking individual decisions matching their self-interests. The communication among the market agents is done through market transactions regulated by auctions. The system’s global optimisation, therefore, raise from the aggregated self-oriented market agents. As opposed to the centralised approach, the main characteristics of the market-based approach are the market mechanism and local knowledge of the agents. The existence of both approaches attracted several studies to compare them in different contexts. Recently, some comparisons compared the centralised versus market-based approaches in the context of transportation applications from an algorithm perspective. Transportation applications and routing problems are assumed to be good candidates for this comparison given the distributed nature of the system and due to the presence of several sources of uncertainty. Uncertainty exceptions make decisions highly vulnerable and necessitating frequent corrective interventions to keep an efficient level of service. Motivated by the previous comparison studies, this research aims at further investigating the features of both approaches and to contrast them in the context of a distributed task allocation problem in light of environmental uncertainty. Similar applications are often faced by service industries with mobile workforce. Contrary to the previous comparison studies that sought to compare those approaches at the mechanism level, this research attempts to identify the effect of the most significant characteristics of each approach to face environmental uncertainty, which is reflected in this research by the arrival of dynamic tasks and the occurrence of stochasticity delays. To achieve the aim of this research, a target optimisation problem from the VRP family is proposed and solved with both approaches. Given that this research does not target proposing new algorithms, two basic solution mechanisms are adopted to compare the centralised and the market-based approach. The produced solutions are executed on a dedicated multi-agent simulation system. During execution dynamism and stochasticity are introduced. The research findings suggest that a market-based approach is attractive to implement in highly uncertain environments when the degree of local knowledge and workers’ experience is high and when the system tends to be complex with large dimensions. It is also suggested that a centralised approach fits more in situations where uncertainty is lower and the decision maker is able to make timely decision updates, which is in turn regulated by the size of the system at hand

A WORKFLOW MODEL TO SUPPORT LOCATION BASED PARTICIPATION TO POLICY MAKING PROCESSES

This paper aims to propose PMWF model, a new workflow model to automate ubiquitous policy making processes and facilitate citizen participation. While workflow technology has been widely adopted in public sector, the use of technology is mostly limited to supporting back-end administrative business processes. PMWF model targets front-end policy making processes that require active participation of large number of citizens. Automatic delivery of relevant policy issues into citizen’s life is expected to enhance their participation in policy formulation and implementation processes. PMWF model provides modelling constructs to link back-end admin tasks by policy makers to front-end opinion tasks whose main actors are citizens. The core constructs for linkage is opinion-tag which contains policy issues and is attached to geographical objects so that citizens can identify relevant policy issues in the middle of their every-day life patterns. The proposed model is applied to real world policy making processes in the UK and Turkey to show its generality

Individual Determinants of IT Occupational Outcomes

Extant research in information systems relies heavily on career anchor theory (CAS) as a lens to examine occupational choices and outcomes in information technology. Yet, the empirical results are inconclusive, and the power of the theory in predicting IT occupations is rather weak. With the growing demand for IT professionals, we need to examine other factors that can predict the IT occupational outcomes. In this paper, we draw on social cognitive career theory (SCCT) and examine self-efficacy as a complementary factor to career anchors in predicting whether seekers end up with technical, business, or managerial occupations in IT. Specifically, we propose and test a model that combines variables from both CAS and SCCT theories. We use multiple discriminant analysis to measure the extent to which variables from both theories discriminate the IT occupations. The results show that our model predicts occupations with an accuracy rate of 82.2 percent (compared to 75.2 percent for the original CAS model). Our results also show that individuals who hold a professional role that matches their profile are more satisfied than those who do not. Lastly, we discovered that, from individuals who hold a position that does not match their profile, business-IT professionals are most satisfied

A feature-based comparison of the centralised versus market-based decision making under lens of environment uncertainty : case of the mobile task allocation problem

Decision making problems are amongst the most common challenges facing managers at different management levels in the organisation: strategic, tactical, and operational. However, prior reaching decisions at the operational level of the management hierarchy, operations management departments frequently have to deal with the optimisation process to evaluate the available decision alternatives. Industries with complex supply chain structures and service organisations that have to optimise the utilisation of their resources are examples. Conventionally, operational decisions used to be taken centrally by a decision making authority located at the top of a hierarchically-structured organisation. In order to take decisions, information related to the managed system and the affecting externalities (e.g. demand) should be globally available to the decision maker. The obtained information is then processed to reach the optimal decision. This approach usually makes extensive use of information systems (IS) containing myriad of optimisation algorithms and meta-heuristics to process the high amount and complex nature of data. The decisions reached are then broadcasted to the passive actuators of the system to put them in execution. On the other hand, recent advancements in information and communication technologies (ICT) made it possible to distribute the decision making rights and proved its applicability in several sectors. The market-based approach is as such a distributed decision making mechanism where passive actuators are delegated the rights of taking individual decisions matching their self-interests. The communication among the market agents is done through market transactions regulated by auctions. The system’s global optimisation, therefore, raise from the aggregated self-oriented market agents. As opposed to the centralised approach, the main characteristics of the market-based approach are the market mechanism and local knowledge of the agents. The existence of both approaches attracted several studies to compare them in different contexts. Recently, some comparisons compared the centralised versus market-based approaches in the context of transportation applications from an algorithm perspective. Transportation applications and routing problems are assumed to be good candidates for this comparison given the distributed nature of the system and due to the presence of several sources of uncertainty. Uncertainty exceptions make decisions highly vulnerable and necessitating frequent corrective interventions to keep an efficient level of service. Motivated by the previous comparison studies, this research aims at further investigating the features of both approaches and to contrast them in the context of a distributed task allocation problem in light of environmental uncertainty. Similar applications are often faced by service industries with mobile workforce. Contrary to the previous comparison studies that sought to compare those approaches at the mechanism level, this research attempts to identify the effect of the most significant characteristics of each approach to face environmental uncertainty, which is reflected in this research by the arrival of dynamic tasks and the occurrence of stochasticity delays. To achieve the aim of this research, a target optimisation problem from the VRP family is proposed and solved with both approaches. Given that this research does not target proposing new algorithms, two basic solution mechanisms are adopted to compare the centralised and the market-based approach. The produced solutions are executed on a dedicated multi-agent simulation system. During execution dynamism and stochasticity are introduced. The research findings suggest that a market-based approach is attractive to implement in highly uncertain environments when the degree of local knowledge and workers’ experience is high and when the system tends to be complex with large dimensions. It is also suggested that a centralised approach fits more in situations where uncertainty is lower and the decision maker is able to make timely decision updates, which is in turn regulated by the size of the system at hand.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Gamification of e-Government Services: A Discussion of Potential Transformation

Gamification has shown to be a valuable approach that enhances participants’ engagement. In education, enhanced student engagement has proven to increase their learning effectiveness. In business, gamification permits employee innovations and helps organizations achieve various business objectives. However, the application of gamification in public services is rather limited. While public service technologies have matured from being informational in nature towards being interactional and transactional, the last maturity stage of e-Government services has not been clearly defined. Accordingly, in this paper we call for “gamifying” public sector technologies such as e-Government systems. We argue that gamification might well be the last transformational stage in the maturity of those technologies. Gamification can play a key role in increasing citizens’ use of public service technologies and, at the same time, make them feel empowered as active participants in their societies

The Status of Wearables in Actualizing Personalized Medicine for Diabec Paents in Qatar

While wearables extend the geography of care and increase patients' self-awareness and motivation to adopt healthy life-styles, a field study in the State of Qatar reveals several barri-ers that constrain the successful adoption of the technology

Centralised Versus Market-Based Control under Environment Uncertainty: Case of the Mobile Task Allocation Problem (MTAP)

Centralised Versus Market-Based Control under Environment Uncertainty: Case of the Mobile Task Allocation Problem (MTAP

Factors influencing employees' intention to apply ergonomics at workplaces: A cultural perspective

We examine the determinants of employees' intention to apply ergonomics at workplace and the moderating effects of Hofstede's cultural dimensions on the proposed research model. A research model, based on the decomposed theory of planned behaviour (DTPB), the unified theory of acceptance and use of technology model (UTAUT), and Hofstede's cultural dimensions, is developed. A sample of 150 employees from the state of Qatar was used to test the proposed research model. The antecedent variables considered are attitude, social influence, perceived behavioural control, self-efficacy, facilitation conditions, performance expectancy, effort expectancy, compatibility and management support. The results show that attitude, perceived behavioural control, and social influence have significant positive effects on employees' behavioural intention to apply ergonomics at the workplace. Compatibility and performance expectancy have significant positive indirect effects on behavioural intention through attitude. Additionally, facilitation conditions and self-efficacy have significant positive indirect effects on behavioural intention through perceived behavioural control. Hofstede's cultural dimensions significantly moderate the hypothesised relationships.Scopu