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Project success is widely covered, and the discourse on project complexity is proliferating. The purpose of this book is to merge and investigate the two concepts within the context of information system (IS) projects and understand the symbiosis between success and complexity in these projects. In this original and innovative research, exploratory modelling is employed to identify the aspects that constitute the success and complexity of projects based on the perceptions of IS project participants. This scholarly book aims at deepening the academic discourse on the relationship between the success and complexity of projects and to guide IS project managers towards improved project performance through the complexity lens. The research methodology stems from the realisation that the complexity of IS projects and its relationship to project success are under-documented. A post positivistic approach is applied in order to accommodate the subjective interpretation of IS-project participants through a quantitative design. The researchers developed an online survey strategy regarding literature concerning the success and complexity of projects. The views of 617 participants are documented. In the book, descriptive statistics and exploratory factor analysis pave the way for identifying the key success and complexity constructs of IS projects. These constructs are used in structural-equation modelling to build various validated and predictive models. Knowledge concerning the success and complexity of projects is mostly generic with little exposure to the field of IS project management. The contribution to current knowledge includes how the success of IS projects should be considered as well as what the complexity constructs of IS projects are. The success of IS projects encompasses strategic success, deliverable success, process success and the ‘unknowns’ of project success. The complexity of IS projects embodies organisational complexity, environmental complexity, technical complexity, dynamics and uncertainty. These constructs of success and complexity are mapped according to their underlying latent relationships to each other. The intended audience of this book is fellow researchers and project and IS specialists, including information technology managers, executives, project managers, project team members, the project management office (PMO), general managers and executives that initiate and conduct project-related work. The work presented in this first edition of the book is original and has not been plagiarised or presented before. It is not a revised version of a thesis or research previously published. Comments resulted from the blind peer review process were carefully considered and incorporated accordingly.

agile --- structural equation modelling --- information technology --- success --- models --- strategic alignment --- complexity --- waterfall --- project management --- quantitative --- Agile software development --- Change management --- Deliverable --- Exploratory factor analysis --- South Africa

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Project success is widely covered, and the discourse on project complexity is proliferating. The purpose of this book is to merge and investigate the two concepts within the context of information system (IS) projects and understand the symbiosis between success and complexity in these projects. In this original and innovative research, exploratory modelling is employed to identify the aspects that constitute the success and complexity of projects based on the perceptions of IS project participants. This scholarly book aims at deepening the academic discourse on the relationship between the success and complexity of projects and to guide IS project managers towards improved project performance through the complexity lens. The research methodology stems from the realisation that the complexity of IS projects and its relationship to project success are under-documented. A post positivistic approach is applied in order to accommodate the subjective interpretation of IS-project participants through a quantitative design. The researchers developed an online survey strategy regarding literature concerning the success and complexity of projects. The views of 617 participants are documented. In the book, descriptive statistics and exploratory factor analysis pave the way for identifying the key success and complexity constructs of IS projects. These constructs are used in structural-equation modelling to build various validated and predictive models. Knowledge concerning the success and complexity of projects is mostly generic with little exposure to the field of IS project management. The contribution to current knowledge includes how the success of IS projects should be considered as well as what the complexity constructs of IS projects are. The success of IS projects encompasses strategic success, deliverable success, process success and the ‘unknowns’ of project success. The complexity of IS projects embodies organisational complexity, environmental complexity, technical complexity, dynamics and uncertainty. These constructs of success and complexity are mapped according to their underlying latent relationships to each other. The intended audience of this book is fellow researchers and project and IS specialists, including information technology managers, executives, project managers, project team members, the project management office (PMO), general managers and executives that initiate and conduct project-related work. The work presented in this first edition of the book is original and has not been plagiarised or presented before. It is not a revised version of a thesis or research previously published. Comments resulted from the blind peer review process were carefully considered and incorporated accordingly.

Information technology: general issues --- agile --- structural equation modelling --- information technology --- success --- models --- strategic alignment --- complexity --- waterfall --- project management --- quantitative --- Agile software development --- Change management --- Deliverable --- Exploratory factor analysis --- South Africa

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The structure of sequential behavior and its patterns have attracted the attention of researchers from various disciplines, such as game theory, human and animal behavior, evolutionary ecology, psychology, behavioral economy, and cognitive sciences. Sequential behavior seems to be involved in the processes of sequential learning, decision-making processes, and exploratory behavior. There are, however, competing hypotheses regarding the mechanisms involved in the complexity of the behavioral responses of organisms when exposed to changing environments. The behavioral response to different environmental conditions is often utilized in behavioral ecology studies, where the changes in behavior are quantified in terms of probability of dispersal, distance, and speed of movements or time budget, where the time spent on different activities (foraging, resting, explore, etc.) is registered and analyzed in terms of cost–benefit. This book represents a series of articles covering a broad spectrum of organisms and proposes the analysis of sequential behavior utilizing indices commonly applied in the estimation of developmental instability (fluctuating asymmetry, directional asymmetry, and antisymmetry) toward estimating the degree of “Behavioral Instability”. Deviations from symmetry will be interpreted in ecological and evolutionary terms, where the cost and benefits of changes of the degree of behavioral instability will be analyzed in terms of overall costs and benefits and its evolutionary significance. Presented in this collection are multidisciplinary studies (theoretical and computational as well as experimental and empirical approaches) that validate the proposed approach and pave the way for future investigation in the novel field of what is best described as behavioral instability.

Research & information: general --- Biology, life sciences --- Ecological science, the Biosphere --- pharmaceutical marketing --- physicians' symmetrical prescription behavior --- corporate image --- exploratory factor analysis --- confirmatory factor analysis --- SEM-based multivariate approach --- asymmetric preference --- inertial route choice --- willingness to pay --- willingness to accept --- experimental study --- benefits symmetry --- behavioral stability --- evolutionary game --- system dynamics --- dynamic incentive --- environmental stress --- behavioural instability --- biomonitoring tool --- unmanned aerial vehicles (UAVs) --- disturbance --- fibrin --- platelets --- bone graft --- bone regeneration --- bone tissue --- asymmetry --- ethogram --- olfactory stimuli --- stereotypy --- Ursus maritimus --- enrichment --- captivity --- asymmetric diversity

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This Book is a Printed Edition of the Special Issue which covers sustainability as an emerging requirement in the fields of construction management, project management and engineering. We invited authors to submit their theoretical or experimental research articles that address the challenges and opportunities for sustainable construction in all its facets, including technical topics and specific operational or procedural solutions, as well as strategic approaches aimed at the project, company or industry level. Central to developments are smart technologies and sophisticated decision-making mechanisms that augment sustainable outcomes. The Special Issue was received with great interest by the research community and attracted a high number of submissions. The selection process sought to balance the inclusion of a broad representative spread of topics against research quality, with editors and reviewers settling on thirty-three articles for publication. The Editors invite all participating researchers and those interested in sustainable construction engineering and management to read the summary of the Special Issue and of course to access the full-text articles provided in the Book for deeper analyses.

Technology: general issues --- building information modeling --- project owner --- attitude --- behavior --- technology acceptance model --- BIM --- information model --- bridge --- maintenance --- management system --- Public–private partnership (PPP) --- risk identification --- risk relationship --- triangular fuzzy number --- ISM --- MICMAC --- data collection system --- worker’s smartphone --- concrete temperature monitoring --- high-rise building construction --- sustainable roles --- LEED --- contractors --- Vietnam --- bridge deterioration --- prediction model --- semi-Markov process --- Weibull-distribution --- condition rating --- sustainable construction project management (SCPM) --- sustainable performance evaluation --- set pair analysis --- informatization --- greenization --- Guangzhou metro --- China --- time management --- delay management --- mitigation strategy --- owner perspective --- contractor perspective --- power construction project --- Tanzania --- knowledge transfer --- safety behavior --- safety management --- construction site --- structural equation modeling (SEM) --- building information modeling (BIM) --- building performance assessment (BPA) --- key performance indicators (KPIs) --- facility management (FM) --- operation and maintenance (O&amp --- M) --- operating room (OR) --- defects liability period --- risk matrix --- residential buildings --- loss distribution approach --- decision tree --- analytic hierarchy process --- dynamic programming --- sustainable investment --- project participants’ behaviour --- roof installation projects --- modular construction --- rework --- integrated design process --- dependency structure matrix (DSM) --- process optimization --- sustainability --- green building --- delay sources --- risk management --- random forest-genetic algorithm --- computer aid --- construction project --- bridge construction --- risk analysis --- loss assessment model --- third-party damage --- insurance --- sensitivity analysis --- uncertainty modelling --- load action --- resistance --- limit states --- stochastic simulation --- failure probability --- structural reliability --- correlations --- linguistic action indicators --- last planner system --- linguistic action perspective --- resource-dependent activity relationship --- scheduling --- scheduling software --- Microsoft Excel Visual Basic for Applications (MS Excel VBA) --- rework causes --- SWARA method --- time --- project success --- building projects --- sustainable construction --- value management --- exploratory factor analysis --- construction management --- green building materials (GBMs) --- building industry --- Sustainable Development Goals (SDGs) --- construction industry --- MCDM --- COPRAS method --- real case study --- enterprise competitiveness --- organizational flexibility --- organizational innovation --- modernization of construction industry --- structural equation modeling --- natural language processing --- construction data management --- machine learning --- thermal insulation --- multi criteria analysis --- SALSA --- buildings --- Renovation Wave --- sustainable highway construction --- sustainability indicators --- triangular intuitionistic fuzzy --- multi-criteria decision-making --- entropy measure --- risk attitudes --- organizational learning --- fly ash --- geopolymer --- environment --- sustainable --- construction --- public private partnership --- critical success factors --- fuzzy synthetic evaluation --- project governance --- maintenance, repair, and rehabilitation (MR&amp --- R) --- inspection --- optimization --- infrastructure --- decision making --- life cycle assessment --- materials --- greenhouse --- digital transformation --- digital technology --- strategy --- change management --- project assessment --- sustainability criteria --- construction projects --- decision robustness --- risk process --- project management --- IDEF0 --- risk system implementation --- design --- smart technologies --- decision-making methods

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This Book is a Printed Edition of the Special Issue which covers sustainability as an emerging requirement in the fields of construction management, project management and engineering. We invited authors to submit their theoretical or experimental research articles that address the challenges and opportunities for sustainable construction in all its facets, including technical topics and specific operational or procedural solutions, as well as strategic approaches aimed at the project, company or industry level. Central to developments are smart technologies and sophisticated decision-making mechanisms that augment sustainable outcomes. The Special Issue was received with great interest by the research community and attracted a high number of submissions. The selection process sought to balance the inclusion of a broad representative spread of topics against research quality, with editors and reviewers settling on thirty-three articles for publication. The Editors invite all participating researchers and those interested in sustainable construction engineering and management to read the summary of the Special Issue and of course to access the full-text articles provided in the Book for deeper analyses.

Technology: general issues --- building information modeling --- project owner --- attitude --- behavior --- technology acceptance model --- BIM --- information model --- bridge --- maintenance --- management system --- Public–private partnership (PPP) --- risk identification --- risk relationship --- triangular fuzzy number --- ISM --- MICMAC --- data collection system --- worker’s smartphone --- concrete temperature monitoring --- high-rise building construction --- sustainable roles --- LEED --- contractors --- Vietnam --- bridge deterioration --- prediction model --- semi-Markov process --- Weibull-distribution --- condition rating --- sustainable construction project management (SCPM) --- sustainable performance evaluation --- set pair analysis --- informatization --- greenization --- Guangzhou metro --- China --- time management --- delay management --- mitigation strategy --- owner perspective --- contractor perspective --- power construction project --- Tanzania --- knowledge transfer --- safety behavior --- safety management --- construction site --- structural equation modeling (SEM) --- building information modeling (BIM) --- building performance assessment (BPA) --- key performance indicators (KPIs) --- facility management (FM) --- operation and maintenance (O&amp --- M) --- operating room (OR) --- defects liability period --- risk matrix --- residential buildings --- loss distribution approach --- decision tree --- analytic hierarchy process --- dynamic programming --- sustainable investment --- project participants’ behaviour --- roof installation projects --- modular construction --- rework --- integrated design process --- dependency structure matrix (DSM) --- process optimization --- sustainability --- green building --- delay sources --- risk management --- random forest-genetic algorithm --- computer aid --- construction project --- bridge construction --- risk analysis --- loss assessment model --- third-party damage --- insurance --- sensitivity analysis --- uncertainty modelling --- load action --- resistance --- limit states --- stochastic simulation --- failure probability --- structural reliability --- correlations --- linguistic action indicators --- last planner system --- linguistic action perspective --- resource-dependent activity relationship --- scheduling --- scheduling software --- Microsoft Excel Visual Basic for Applications (MS Excel VBA) --- rework causes --- SWARA method --- time --- project success --- building projects --- sustainable construction --- value management --- exploratory factor analysis --- construction management --- green building materials (GBMs) --- building industry --- Sustainable Development Goals (SDGs) --- construction industry --- MCDM --- COPRAS method --- real case study --- enterprise competitiveness --- organizational flexibility --- organizational innovation --- modernization of construction industry --- structural equation modeling --- natural language processing --- construction data management --- machine learning --- thermal insulation --- multi criteria analysis --- SALSA --- buildings --- Renovation Wave --- sustainable highway construction --- sustainability indicators --- triangular intuitionistic fuzzy --- multi-criteria decision-making --- entropy measure --- risk attitudes --- organizational learning --- fly ash --- geopolymer --- environment --- sustainable --- construction --- public private partnership --- critical success factors --- fuzzy synthetic evaluation --- project governance --- maintenance, repair, and rehabilitation (MR&amp --- R) --- inspection --- optimization --- infrastructure --- decision making --- life cycle assessment --- materials --- greenhouse --- digital transformation --- digital technology --- strategy --- change management --- project assessment --- sustainability criteria --- construction projects --- decision robustness --- risk process --- project management --- IDEF0 --- risk system implementation --- design --- smart technologies --- decision-making methods