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Adaptable service-system design: an analysis of Shariah finance in Pakistan
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.An adaptable service system adjusts to the operational-level environments of organisations to enable heterogeneous services. This adaptation is important for sustainability and contextual-value (benefit) creation in a service system. Academics, such as those related to the current service-ecosystem concept, acknowledge the significance of this adaptation. However, little is known about a comprehensive adaptation process and how that integrates within a design for a service system. Also, practitioners are inclined towards this development, as the financial regulator in Pakistan has established an âevolutionary frameworkâ. This framework encourages financial institutions to design Shariah finance services (SFS) which respond and evolve to the emergent market environments. The existing SFS models take benefit from Islamic jurisprudence and economics literatures to provide designs for transactions of financial and physical assets. However, the SFS models de-emphasis the intangible service-elements, where the adaptation is more likely to occur. Currently there is a great need for models that could explain the detailed adaptation process and its placement in an SFS design. The aim of this research is to develop, evaluate and theorise a model for conceptualising a holistic adaptable service-system design. The research aim is achieved through the proposal of a novel deferred service-system design (DSD) model. The DSD conceptualises a service-system design that adapts to the operational-level environments of SFS organisations in Pakistan. The DSD has seven constructs: (i) the service creators apply centrally-planned designs to create a service ii) they adapt these designs to meet the requirements of emergent contexts (iii) the service personnel, customers and aiding parties co-create a service by integrating their (iv) roles and actions, (v) resources and usufructs, (vi) rules and control to generate (vii) value. DSD is based on service-system design (SSD) literature, SFS literature and theory of deferred action (TODA) a theory of system and organisation design. A multiple case study strategy is employed to evaluate, extend and theorise the DSD developed in phase I. Qualitative data are collected in four SFS organisations: Islamic commercial bank, Islamic life Takaful, Islamic mutual fund, and Islamic leasing organisation. Thirty-two in-depth narrative interviews of SFS personnel are conducted and analysed using a narrative discourse analysis method. The findings are triangulated by adding focus-group discussions, visualisations and service offering documents. The empirical findings are synthesised with the extant literature to develop a novel and comprehensive DSD in phase II. The findings show that the service co-creators apply a centrally-developed planned design typology (PDT). PDT includes different blends of SFS models (e.g., partnerships, sales, leases, agency and endowment), expected varieties (list, range and negative) and addable-deductible modules. The service co-creators and their inclusive systems (e.g., families, societies, markets, regulators and other government agencies) affect the planned service-system design to adapt or migrate. The service co-creators follow a novel six-step deferred adaptation process (DAP): emergence locale, information diffusion, knowledge diffusion, indexation, specifics evaluation and adaptation/migration.
The empirical findings advance our understanding of a service-system design by showing how a planned design enables adaptation through PDT. More importantly, how the service co-creators follow a systematic process, DAP, to attain the desired adaptation or migrate off the scene. The findings also broaden the conceptualisation of SFS by showing how it is co-created by the financial institutions, customers and aiding parties. This is due to the SFS being perceived as a product of financial institution alone. This research also makes a contribution to service visualisation method by extending and using the service blueprint as an additional data-collection and analysis tool. This study provided fourteen implications for the practitioners.Government in Pakistan, the Higher Education Commission of Pakistan and the Institute of Management Sciences, Peshawar Pakistan
Conservation, Creation, and Evolution: Revising the Darwinian Project
There is hardly anything more central to our universe than conservation. Many scientific fields and disciplines view the law of conservation as one of the most fundamental universal laws. The Darwinian model pivots the process of evolution on variability, reproduction, and natural selection. Conservation plays a marginal role in this model and is not really universal, as the model allows exceptions to conservation, i.e. non-conservation, to play an equally important role in evolution. This anomalous role of conservation in the Darwinian model raises questions: What is the reason for this anomaly? Is conservation really universal, as we tend to believe or is it not, as the Darwinian model suggests? This contribution proposes a new model of evolution that focuses on levels of organization, rather than of species, organisms, or populations. It argues that conservation is central to evolution. Not only does this new model restores the universal status of conservation but it also makes possible to resolve some outstanding problems and controversies that continue to plague the Darwinian model. The article tries to advance the broad Darwinian project that seeks to explain the process of evolution as a product of the spontaneous processes in nature
Evolutionary Robotics: a new scientific tool for studying cognition
We survey developments in Artificial Neural Networks, in Behaviour-based Robotics and Evolutionary Algorithms that set the stage for Evolutionary Robotics in the 1990s. We examine the motivations for using ER as a scientific tool for studying minimal models of cognition, with the advantage of being capable of generating integrated sensorimotor systems with minimal (or controllable) prejudices. These systems must act as a whole in close coupling with their environments which is an essential aspect of real cognition that is often either bypassed or modelled poorly in other disciplines. We demonstrate with three example studies: homeostasis under visual inversion; the origins of learning; and the ontogenetic acquisition of entrainment
Digital Tectonics as a Morphogenetic Process
p. 938-948Tectonics is a seminal concept that defines the nature of the relationship between
architecture and its structural properties. The changing definition of the symbiotic
relationship between structural engineering and architectural design may be considered one of the formative influences on the conceptual evolution of tectonics in different historical periods. Recent developments in the field of morphogenesis, digital media, theories techniques and methods of digital design have contributed a new models of integration between structure, material and form in digital tectonics.
The objective of this paper is to propose and define tectonics as a model of morphogenetic process. The paper identifies and presents the manner in which theory and emerging concepts of morphogenesis as well as digital models of design are contributing to this new model. The paper first analyzes the historical evolution of tectonics as a concept and characterizes the emergence of theoretical framework reflected in concepts and terms related to morphogenesis.Oxman, R. (2010). Digital Tectonics as a Morphogenetic Process. Editorial Universitat PolitĂšcnica de ValĂšncia. http://hdl.handle.net/10251/695
Embodied Evolution in Collective Robotics: A Review
This paper provides an overview of evolutionary robotics techniques applied
to on-line distributed evolution for robot collectives -- namely, embodied
evolution. It provides a definition of embodied evolution as well as a thorough
description of the underlying concepts and mechanisms. The paper also presents
a comprehensive summary of research published in the field since its inception
(1999-2017), providing various perspectives to identify the major trends. In
particular, we identify a shift from considering embodied evolution as a
parallel search method within small robot collectives (fewer than 10 robots) to
embodied evolution as an on-line distributed learning method for designing
collective behaviours in swarm-like collectives. The paper concludes with a
discussion of applications and open questions, providing a milestone for past
and an inspiration for future research.Comment: 23 pages, 1 figure, 1 tabl
An evolutionary behavioral model for decision making
For autonomous agents the problem of deciding what to do next becomes increasingly complex when acting in unpredictable and dynamic environments pursuing multiple and possibly conflicting goals. One of the most relevant behavior-based model that tries to deal with this problem is the one proposed by Maes, the Bbehavior Network model. This model proposes a set of behaviors as purposive perception-action units which are linked in a nonhierarchical network, and whose behavior selection process is orchestrated by spreading activation dynamics. In spite of being an adaptive model (in the sense of self-regulating its own behavior selection process), and despite the fact that several extensions have been proposed in order to improve the original model adaptability, there is not a robust model yet that can self-modify adaptively both the topological structure and the functional purpose\ud
of the network as a result of the interaction between the agent and its environment. Thus, this work proffers an innovative hybrid model driven by gene expression programming, which makes two main contributions: (1) given an initial set of meaningless and unconnected units, the evolutionary mechanism is able to build well-defined and robust behavior networks which are adapted and specialized to concrete internal agent's needs and goals; and (2)\ud
the same evolutionary mechanism is able to assemble quite\ud
complex structures such as deliberative plans (which operate in the long-term) and problem-solving strategies
Evolutionary Dynamics in a Simple Model of Self-Assembly
We investigate the evolutionary dynamics of an idealised model for the robust
self-assembly of two-dimensional structures called polyominoes. The model
includes rules that encode interactions between sets of square tiles that drive
the self-assembly process. The relationship between the model's rule set and
its resulting self-assembled structure can be viewed as a genotype-phenotype
map and incorporated into a genetic algorithm. The rule sets evolve under
selection for specified target structures. The corresponding, complex fitness
landscape generates rich evolutionary dynamics as a function of parameters such
as the population size, search space size, mutation rate, and method of
recombination. Furthermore, these systems are simple enough that in some cases
the associated model genome space can be completely characterised, shedding
light on how the evolutionary dynamics depends on the detailed structure of the
fitness landscape. Finally, we apply the model to study the emergence of the
preference for dihedral over cyclic symmetry observed for homomeric protein
tetramers
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