Journal articles on the topic 'Design interdependency'

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1

Rui Chen, Wennai Wang, and Zhengkun Mi. "Interdependency Measure and Analysis for Cross-Layer Design in WLAN." International Journal of Advancements in Computing Technology 3, no. 11 (December 31, 2011): 238–45. http://dx.doi.org/10.4156/ijact.vol3.issue11.30.

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Li, Wei, S. Jack Hu, and Shao-Wei Cheng. "Robust design and analysis for manufacturing processes with parameter interdependency." Journal of Manufacturing Systems 21, no. 2 (January 2002): 93–100. http://dx.doi.org/10.1016/s0278-6125(02)80003-6.

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Mahut, Theo, Carole Bouchard, Jean-Francois Omhover, Carole Favart, and Daniel Esquivel. "Interdependency between user experience and interaction: a Kansei design approach." International Journal on Interactive Design and Manufacturing (IJIDeM) 12, no. 1 (February 28, 2017): 105–32. http://dx.doi.org/10.1007/s12008-017-0381-4.

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Maquil, Valérie, Hoorieh Afkari, Béatrice Arend, Svenja Heuser, and Patrick Sunnen. "Balancing Shareability and Positive Interdependence to Support Collaborative Problem-Solving on Interactive Tabletops." Advances in Human-Computer Interaction 2021 (April 22, 2021): 1–17. http://dx.doi.org/10.1155/2021/6632420.

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To support collaboration, researchers from different fields have proposed the design principles of shareability (engaging users in shared interactions around the same content) and positive interdependence (distributing roles and information to make users dependent on each other). While, on its own, each principle was shown to successfully support collaboration in different contexts, these principles are also partially conflicting, and their combination creates several design challenges. This paper describes how shareability and positive interdependency were jointly implemented in an interactive tabletop-mediated environment called Orbitia, with the aim of inducing collaboration between three adult participants. We present the design details and rationale behind the proposed application. Furthermore, we describe the results of an empirical evaluation focusing on joint problem-solving efficiency, collaboration styles, participation equity, and perceived collaboration effectiveness.
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Tang, Ganqi. "Interdependency, business model design, and new stakeholder introduction in nascent markets." Academy of Management Proceedings 2021, no. 1 (August 2021): 13518. http://dx.doi.org/10.5465/ambpp.2021.13518abstract.

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Galbusera, Luca, Georgios Theodoridis, and Georgios Giannopoulos. "Intelligent Energy Systems: Introducing Power–ICT Interdependency in Modeling and Control Design." IEEE Transactions on Industrial Electronics 62, no. 4 (April 2015): 2468–77. http://dx.doi.org/10.1109/tie.2014.2364546.

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WEINBERG, GIL. "Local Performance Networks: musical interdependency through gestures and controllers." Organised Sound 10, no. 3 (November 29, 2005): 255–65. http://dx.doi.org/10.1017/s1355771805000993.

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Informed by a proposed theoretical framework for the field of interconnected musical networks (Weinberg 2005), I describe a set of local musical networks that utilise novel gestural controllers for interdependent collaborative performance. The paper begins by contextualising developments in the field of musical networks in correlation with development of technological innovations, leading to the utilisations of gestural controllers in local musical networks. This introduction leads to the definition and categorisation of theoretical and practical approaches for the design of local gestural networks, addressing motivations, social strategies, network architectures, musical content, and control software and hardware. Based on this theoretical framework I describe the evolution of four local musical networks that utilise newly developed gestural controllers, titled ‘Squeezables’, ‘Musical Fireflies’, ‘Beatbugs’ and ‘Voice Patterns’. The paper discusses the design and development process of these projects and ends with a comparative analysis of the networks and controllers based on conceptual and practical criteria.
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He, Jiaji, Haocheng Ma, Kaiyue Song, and Yiqiang Zhao. "An Enhanced Logic Encryption Method with a Fully Correlated Key Interdependency Block." Electronics 8, no. 12 (November 22, 2019): 1392. http://dx.doi.org/10.3390/electronics8121392.

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Logic encryption, as a hardware security technique, can protect integrated circuits (ICs) by inserting additional gates. The inserted gates guarantee that predefined outputs are only generated when correct key inputs are provided, preventing IC counterfeiting, intellectual property (IP) theft, and IC overproduction. To evaluate the logic encryption’s robustness, two major criteria are usually utilized, which are (1) the interdependency between the keys and (2) the output corruption against attacks, including path sensitization attack, SATbased attack, hill-climbing attack, etc. However, the majority of existing logic encryption methods emphasize one criterion over the other. In this paper, an enhanced logic encryption method with a fully correlated key interdependency block is proposed. The method enhances the interdependency of keys and determines the locations of key-gates utilizing a rare node analysis method. Experimental results validate that the proposed method can withstand path sensitization attack and ensure 50% Hamming distance with reasonable design overheads.
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Qian, Ya, Wolfgang Härdle, and Cathy Yi-Hsuan Chen. "Modelling industry interdependency dynamics in a network context." Studies in Economics and Finance 37, no. 1 (November 25, 2019): 50–70. http://dx.doi.org/10.1108/sef-07-2019-0272.

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Purpose Interdependency among industries is vital for understanding economic structures and managing industrial portfolios. However, it is hard to precisely model the interconnecting structure among industries. One of the reasons is that the interdependencies show a different pattern in tail events. This paper aims to investigate industry interdependency with the tail events. Design/methodology/approach General predictive model of Rapach et al. (2016) is extended to an interdependency model via least absolute shrinkage and selection operator quantile regression and network analysis. A dynamic network approach was applied on the Fama–French industry portfolios to study the time-varying interdependencies. Findings A denser network with heterogeneous central industries is found in tail cases. Significant interdependency varieties across time are shown under dynamic network analysis. Market volatility is identified as an influential factor of industry connectedness as well as clustering tendency under both normal and tail cases. Moreover, combining dynamic network with prediction direction information into out-of-sample industry return forecasting, a lower tail case is obtained, which gives the most accurate prediction of one-month forward returns. Finally, the Sharpe ratio criterion prefers high-centrality portfolios when tail risks are considered. Originality/value This study examines the industry portfolio interactions under the framework of network analysis and also takes into consideration tail risks. The combination of economic interpretation and statistical methodology helps in having a clear investigation of industry interdependency. Moreover, a new trading strategy based on network centrality seems profitable in our data sample.
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Balle, Andrea Raymundo, Mírian Oliveira, and Carla Maria Marques Curado. "Knowledge sharing and absorptive capacity: interdependency and complementarity." Journal of Knowledge Management 24, no. 8 (July 22, 2020): 1943–64. http://dx.doi.org/10.1108/jkm-12-2019-0686.

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Purpose This study aims to resolve contradictions in the literature regarding the relationship between knowledge sharing (KS) and absorptive capacity (AC). The authors analyze the reasons for which KS has been interpreted as an antecedent and those for which it has been seen as a consequent of AC. Design/methodology/approach The study uses a systematic review of the literature to identify the arguments supporting the relationships between the constructs and propose a model. Additionally, the hypotheses were tested using SEM to assess the proposed model. Findings The findings reveal the nature of the relationship between KS and AC. Suggesting AC is bi-dimensional, consisting of potential AC and realized AC, while the relationship between these two dimensions depends on KS. Research limitations/implications This study provides consistent theoretical grounds for future empirical research. The study findings demonstrate KS provides a real contribution towards AC, validating the previous literature on the impact of KS antecedents on realized AC. Additionally, the authors provide evidence to suggest knowledge donation is an output of the AC process, thus generating a debate on the nature of knowledge donation (requested vs unrequested), which raises interesting research questions to be addressed in the future. As a limitation, empirical data was only collected in the context of software development in two countries. Practical implications The results elucidate the central role of knowledge collection within AC. For managers, the importance of the role of knowledge collection to fully benefit from AC and exploit knowledge is highlighted. Originality/value The research design is original in that it combines a systematic and integrative literature review to the ground and propose hypotheses with empirically testing of the emerging model. The study clarifies the relationship between KS and AC, providing evidence to show knowledge donation is an output of the AC process. The benefits of this study can be seen at the team and firm-level.
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Lizarralde, Iban, Patrick Esquirol, and Arnaud Riviere. "A decision support system to schedule design activities with interdependency and resource constraints." Projectics / Proyéctica / Projectique 7, no. 1 (2011): 89. http://dx.doi.org/10.3917/proj.007.0089.

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Worren, Nicolay, Tido Eger, and Thorvald Hærem. "Reconfigure." Simulation & Gaming 47, no. 6 (September 24, 2016): 851–65. http://dx.doi.org/10.1177/1046878116667777.

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Background. Organization design is a subject that is covered in business school courses such as strategy implementation, organizational theory, and organizational behaviour. However, students sometimes perceive organization design concepts as abstract. Aim. To develop and pilot a simulation that may improve participants’ understanding of two key organization design concepts - work process interdependency and coordination cost. In addition, to develop an approach that may contribute to better operationalization of these concepts in future research. Method. Participants are divided into groups representing departments and are then asked to reconfigure the groups while considering both benefits (reduced coordination costs) and costs (of reconfiguration). The exercise is supported by a MicrosoftExcelTM tool, quantifying the concepts of interdependency and coordination cost. Results. The pilot application of the simulation achieved its pedagogical aims. The participants performed somewhat better than anticipated (some possible causes are discussed). Conclusions. Experiential simulations can be used to convey complex organization design principles to students and managers. They may also be used to study the capacity of individuals and groups to take into account multiple interdependencies in optimizing a design at the individual, group and system level. Recommendation. Simulations should be used to enhance the pedagogical value of organization design lectures (or seminars for employees in organizations).
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Liu, Xuezhi, Peichao Zhang, Andrew Pimm, Donghan Feng, and Menglian Zheng. "Optimal design and operation of PV-battery systems considering the interdependency of heat pumps." Journal of Energy Storage 23 (June 2019): 526–36. http://dx.doi.org/10.1016/j.est.2019.04.026.

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Mujumdar, Purva, and J. Uma Maheswari. "Alternate beeline diagramming method network analysis for interdependent design entities." Engineering, Construction and Architectural Management 26, no. 1 (February 18, 2019): 66–84. http://dx.doi.org/10.1108/ecam-07-2017-0112.

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Purpose The design phase is generally characterized with two-way multiple information exchanges/overlaps between the interdependent entities. In this paper, entity is a generic term to represent teams, components, activities or parameters. Existing approaches can either capture a single overlap or lack practical application in representing multiple overlaps. The beeline diagraming method (BDM) network is efficient in representing multiple overlaps for construction projects. However, it considers any entity as indivisible and cannot distinguish partial criticality of entities. In reality, the design phase in any construction project is driven by need basis and often has numerous interruptions. Hence, there is a need to develop an alternate network analysis for BDM for interruptible execution. The paper aims to discuss these issues. Design/methodology/approach A pilot study is conducted to formulate the hypothetical examples. Subsequently, these hypothetical BDM examples are analyzed to trace a pattern for criticality. This pattern study along with the existing precedence diagramming method network analysis enabled to derive new equations for forward pass, backward pass and float. Finally, the proposed concepts are applied to two design cases and reviewed with the design experts. Findings The proposed network analysis for BDM is efficient for interruptible entity execution. Practical implications The proposed BDM network is an information-intensive network that enables the design participants to view the project holistically. Application to two distinct cases emphasizes that the concept is generic and can be applied to any project that is characterized with beelines. Originality/value An alternate network analysis for BDM is investigated for interruptible entity execution. This study also clarifies the related concepts – interdependency, iteration, overlaps and multiple information exchanges/linkages.
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Vettorello, M., B. Eisenbart, and C. Ranscombe. "PARADOXICAL TENSION: BALANCING CONTEXTUAL AMBIDEXTERITY." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 1385–94. http://dx.doi.org/10.1017/dsd.2020.74.

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AbstractThe concepts of high-velocity, complexity and interdependency are nowadays vividly discussed in design-led innovation management. Design organisations seek to manage innovation in a more dynamic way to ensure competitive advantage and long-term competitiveness. Contextual ambidexterity is advised to be a dynamic capability that can facilitate firms to effectively manage incremental and radical innovation alike. This paper proposes an approach that focuses on the individual and the underlying thinking which bases its foundations on ambidextrous leadership, abductive reasoning and strategic fit.
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Espada, Rodolfo Jr, Armando Apan, and Kevin McDougall. "Vulnerability assessment and interdependency analysis of critical infrastructures for climate adaptation and flood mitigation." International Journal of Disaster Resilience in the Built Environment 6, no. 3 (September 14, 2015): 313–46. http://dx.doi.org/10.1108/ijdrbe-02-2014-0019.

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Purpose – The purpose of this paper is to present a novel approach that examines the vulnerability and interdependency of critical infrastructures using the network theory in geographic information system (GIS) setting in combination with literature and government reports. Specifically, the objectives of this study were to generate the network models of critical infrastructure systems (CISs), particularly electricity, roads and sewerage networks; to characterize the CISs’ interdependencies; and to outline the climate adaptation (CA) and flood mitigation measures of CIS. Design/methodology/approach – An integrated approach was undertaken in assessing the vulnerability and interdependency of critical infrastructures. A single system model and system-of-systems model were operationalized to examine the vulnerability and interdependency of the identified critical infrastructures in GIS environment. Existing CA and flood mitigation measures from government reports were integrated in the above-mentioned findings to better understand and gain focus in the implementation of natural disaster risk reduction (DRR) policies, particularly during the 2010/2011 floods in Queensland, Australia. Findings – Using the results from the above-mentioned approach, the spatially explicit framework was developed with four key operational dimensions: conceiving the climate risk environment; understanding the critical infrastructures’ common cause and cascade failures; modeling individual infrastructure system and system-of-systems level within GIS setting; and integrating the above-mentioned results with the government reports to increase CA and resilience measures of flood-affected critical infrastructures. Research limitations/implications – While natural DRR measures include preparation, response and recovery, this study focused on flood mitigation. Temporal analysis and application to other natural disasters were also not considered in the analysis. Practical implications – By providing this information, government-owned corporations, CISs managers and other concerned stakeholders will allow to identify infrastructure assets that are highly critical, identify vulnerable infrastructures within areas of very high flood risk, examine the interdependency of critical infrastructures and the effects of cascaded failures, identify ways of reducing flood risk and extreme climate events and prioritize DRR measures and CA strategies. Originality/value – The individualist or “pigeon-hole” approach has been the common method of analyzing infrastructures’ exposure to flood hazards and tends to separately examine the risk for different types of infrastructure (e.g. electricity, water, sewerage, roads and rails and stormwater). This study introduced an integrated approach of analyzing infrastructure risk to damage and cascade failure due to flooding. Aside from introducing the integrated approach, this study operationalized GIS-based vulnerability assessment and interdependency of critical infrastructures which had been unsubstantially considered in the past analytical frameworks. The authors considered this study of high significance, considering that floodplain planning schemes often lack the consideration of critical infrastructure interdependency.
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Cai, Qing, Mahardhika Pratama, and Sameer Alam. "Interdependency and Vulnerability of Multipartite Networks under Target Node Attacks." Complexity 2019 (November 20, 2019): 1–16. http://dx.doi.org/10.1155/2019/2680972.

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Complex networks in reality may suffer from target attacks which can trigger the breakdown of the entire network. It is therefore pivotal to evaluate the extent to which a network could withstand perturbations. The research on network robustness has proven as a potent instrument towards that purpose. The last two decades have witnessed the enthusiasm on the studies of network robustness. However, existing studies on network robustness mainly focus on multilayer networks while little attention is paid to multipartite networks which are an indispensable part of complex networks. In this study, we investigate the robustness of multipartite networks under intentional node attacks. We develop two network models based on the largest connected component theory to depict the cascading failures on multipartite networks under target attacks. We then investigate the robustness of computer-generated multipartite networks with respect to eight node centrality metrics. We discover that the robustness of multipartite networks could display either discontinuous or continuous phase transitions. Interestingly, we discover that larger number of partite sets of a multipartite network could increase its robustness which is opposite to the phenomenon observed on multilayer networks. Our findings shed new lights on the robust structure design of complex systems. We finally present useful discussions on the applications of existing percolation theories that are well studied for network robustness analysis to multipartite networks. We show that existing percolation theories are not amenable to multipartite networks. Percolation on multipartite networks still deserves in-depth efforts.
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Mohamed, Ahmed Ali A. "On the Rising Interdependency between the Power Grid, ICT Network, and E-Mobility: Modeling and Analysis." Energies 12, no. 10 (May 16, 2019): 1874. http://dx.doi.org/10.3390/en12101874.

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Boosting critical infrastructures’ (CIs) preparedness to threats, including natural disasters and manmade attacks, is a global imperative. The intrinsic dependencies and interdependencies between CIs hinder their resiliency. Moreover, the evolution of CIs is, in many cases, en routè to tighten those interdependencies. The goal of this paper is to uncover and analyze the rising interdependency between the electric power grid, information and communication technology (ICT) networks, and transportation systems that are heavily reliant on electric-power drivetrains, collectively referred to hereafter as electro-mobility (e-mobility). E-mobility includes electric vehicles (EVs) and electric railway systems. A new influence graph-based model is introduced, as a promising approach to model operational interdependencies between CIs. Each of the links of the influence graph represents the probability of failure of the sink node following a failure of the source node. A futuristic scenario has been analyzed assuming increased dependency of the power grid on ICT for monitoring and control, and high penetration levels of EVs and distributed energy resources (DERs) in an urban region. Inspecting the influence graph shows that the impact of interdependency between the power grid, the ICT network, and the transportation network, for the case study analyzed in this paper, does not lead to failures during normal operation with proper design; however, it is severe during emergency conditions since it leads to failure propagation among the three CIs. This paper sets the stage for more research on this topic, and calls for more attention to interdependency analysis.
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Mao, Xiao Ling. "Research on Design of SOHO Residential Unit." Advanced Materials Research 228-229 (April 2011): 894–98. http://dx.doi.org/10.4028/www.scientific.net/amr.228-229.894.

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Along with the arriving of the information era, more and more people begin to utilize network and computers in their job, making it a new popularized living and fashionable trend. As for this, tradition residential buildings are not able to satisfy people’s needs of work, while tradition office buildings can not meet people’s needs of living as well. Therefore, a new type of building, which integrates its residential function with working function altogether, is urgently demanded to fulfill the objective requirements of the society. The SOHO people work at home, living in groups, and their jib requirements may change, or bring about new situations along with the development of the era. Correspondingly, the design of SOHO residential unit shall also develop and update with new contents in practice. The paper has made deep analysis and discuss on design of functional spaces in SOHO residential unit. After giving consideration to the living features of SOHO groups, as well as based on the concept of economical usage of buildings, the paper further proposed that, in the design of SOHO residential unit, the interaction and interdependency among the three elements of human beings, facilities and environment shall be systematically studied to play the entire unit to its highest performance.
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Decker, Lukas, Daniel Förster, Frank Gauterin, and Martin Doppelbauer. "Physics-Based and Data-Enhanced Model for Electric Drive Sizing during System Design of Electrified Powertrains." Vehicles 3, no. 3 (August 8, 2021): 512–32. http://dx.doi.org/10.3390/vehicles3030031.

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In multi-drive electrified powertrains, the control strategy strongly influences the component load collectives. Due to this interdependency, the component sizing becomes a difficult task. This paper comprehensively analyses different electric drive system sizing methods for multi-drive systems in the literature. Based on this analysis, a new data-enhanced sizing approach is proposed. While the characteristic is depicted with a physics-based polynomial model, a data-enhanced limiting function ensures the parameter variation stays within a physically feasible range. Its beneficial value is demonstrated by applying the new model to a powertrain system optimization. The new approach enables a detailed investigation of the correlations between the characteristic of electric drive systems and the overall vehicle energy consumption for varying topologies. The application results demonstrate the accuracy and benefit of the proposed model.
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Jiao, Yuanyuan, Muhammad Aamir Saeed, Shihui Fu, and Xinyan Wang. "How knowledge sharing contributes to project portfolio success." International Journal of Managing Projects in Business 13, no. 7 (August 5, 2019): 1600–1616. http://dx.doi.org/10.1108/ijmpb-10-2018-0221.

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Purpose The purpose of this paper is to investigate the relationship between knowledge sharing and project portfolio success in Chinese construction firms. It also examines how and under what conditions knowledge sharing contributes to project portfolio success. Design/methodology/approach The authors collected questionnaire survey from 178 construction enterprises in China that manage project portfolio as a main form of their business. Hierarchical multiple regression was used to test the proposed framework. Findings The empirical results indicate that all three types of knowledge sharing (knowledge sharing within the project, knowledge sharing among projects and knowledge sharing within the organization) are positively related to project portfolio success. Portfolio management quality (PMQ) conduits the impact of knowledge sharing on project portfolio success. Furthermore, portfolio interdependency moderates the main effect. Originality/value This research is among the first to explicitly differentiate three types of knowledge sharing existing in project portfolios. Also, this research contributes to the literature on the antecedents of project portfolio success by showing the effect of knowledge sharing. Furthermore, this study empirically contributes to portfolio management research by clarifying the critical role of PMQ and portfolio interdependency in the mechanism of knowledge sharing and project portfolio success.
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Zakaria, Omar M., Aisha-Hassan A. Hashim, Wan H. Hassan, Othman O. Khalifa, M. Azram, Lalitha B. Jivanadham, Mistura L. Sanni, and Mahdi Zareei. "Joint Channel Assignment and Routing in Multiradio Multichannel Wireless Mesh Networks: Design Considerations and Approaches." Journal of Computer Networks and Communications 2016 (2016): 1–24. http://dx.doi.org/10.1155/2016/2769685.

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Multiradio wireless mesh network is a promising architecture that improves the network capacity by exploiting multiple radio channels concurrently. Channel assignment and routing are underlying challenges in multiradio architectures since both determine the traffic distribution over links and channels. The interdependency between channel assignments and routing promotes toward the joint solutions for efficient configurations. This paper presents an in-depth review of the joint approaches of channel assignment and routing in multiradio wireless mesh networks. First, the key design issues, modeling, and approaches are identified and discussed. Second, existing algorithms for joint channel assignment and routing are presented and classified based on the channel assignment types. Furthermore, the set of reconfiguration algorithms to adapt the network traffic dynamics is also discussed. Finally, the paper presents some multiradio practical implementations and test-beds and points out the future research directions.
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Javid, Amjed, Khurram Iftikhar, Munir Ashraf, Abdur Rehman, Kashif Iqbal, Tanveer Hussain, and Abdul basit. "Development and performance optimization of polyurethane-based multifunctional coatings using Taguchi method." Journal of Industrial Textiles 48, no. 2 (October 11, 2017): 521–35. http://dx.doi.org/10.1177/1528083717736103.

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Inducing multifunctionality is the need of the products used in diverse environments. Here, polyurethane-based water repellent, flame retardant and antibacterial coatings are fabricated on cotton fabrics which sequentially involve the deposition of coating through knife coating, drying and curing of coated fabric. Taguchi design has been used to optimize the parameters for enhanced water repellency, flame retardancy and antibacterial activity. When applied individually, the performance characteristics enhance with the increase in concentration of respective finishing agent. However, a different behaviour was shown by the coated fabric when applied all the finishing agents simultaneously. Taguchi design enabled the monitoring of interdependency of different concentrations of chemicals and finding the most influencing parameters for efficient performance of coated fabrics.
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Kucharska, Wioleta, Karol Flisikowski, and Ilenia Confente. "Do global brands contribute to the economy of their country of origin? A dynamic spatial approach." Journal of Product & Brand Management 27, no. 7 (November 19, 2018): 768–80. http://dx.doi.org/10.1108/jpbm-10-2017-1641.

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PurposeBrand positioning based on the brand’s country of origin is at the centre of attention in international marketing. It is evident that global brands constitute critical intangible assets for businesses and places. However, it is not clear how they contribute to national economies. This paper aims to discuss the significance of brands as contributing to the value of their companies but also helping to leverage national economies. Although global brands can be produced and purchased in multiple countries, their influence on the economy of the country where their owner’s seat is located can be more meaningful than in other economies included in the “global factory”.Design/methodology/approachBased on 500 Brandirectory, the Most Valuable Global Brands 2011-2015 rankings powered by Brand Finance, the authors observed a spatial-economic autocorrelation which exemplifies the potential interdependency between gross domestic product (GDP) and brand value. This relationship has become a starting point for designing a spatial regression model.FindingsThe findings support the hypothesis that assumptive spatial dependencies have a significant influence on the examined relationship of brand value and GDP.Originality/valueThe presented study is the first to examine the potential interdependence between brand values and GDP of the countries of origin using a dynamic spatial approach.
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Isiaka, Fatima M., Salihu Abdullahi Audu, and Mustafa Ahmed Umar. "Developing a fail-safe culture in a cyber environment using MySQL replication technique." International Journal of Crowd Science 4, no. 2 (April 4, 2020): 149–70. http://dx.doi.org/10.1108/ijcs-04-2018-0008.

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Purpose The dependence on the use of information systems for nearly every activity and functions in the internet is increasingly high. This form of interconnectedness has bolstered national economies, enhanced how governments interact with their citizens and how ordinary people connect with friends and family. However, this dependence has equally resulted to a high rise in vulnerability, threat and risk associated with more use of information and communication technology. Cyber-attacks that have the potential to disrupt or damage information system infrastructure are getting more complex with some level of sophistication. Traditional protection of information system infrastructure is no longer sufficient; systems have proven to be immune to failure or incidents. This paper aims to ensure that there is a continuous availability of services through a fail-safe proof. Design/methodology/approach MYSQL replication technique was used to develop a model based on three-tier layers using the principle of network interdependency and the replication techniques. Tier 1 depicts a Telecom organization serving as service provider that provides internet service to Tier 2 organization – a Bank; Tier 3 is the financial App that can be used by bank staff and customers. The fail-safe mode integrated mechanism enables Tier 3 to continue to render its services in the event of an attack on Tier 1 such as DDoS without disruption. Findings This technique succeeded in mitigating the loss of data if cyber incident occurred or reception of uninterrupted services is countered, which give rise to future master-to-master architecture. Research limitations/implications The study conducted is limited to the design and development of a fail-safe system for interdependent networks or systems using MYSQL replication technique. Originality/value In an interdependent environment such as the cyberspace, the sectors are interdependent for optimal results. The originality of the work ensures that there is availability of services which is sustained and that data integrity is assured using the fail-safe technique based on MySQL replication method.
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Song, Changhyeon, and Kwangsoo Shin. "Business Model Design for Latecomers in Biopharmaceutical Industry: The Case of Korean Firms." Sustainability 11, no. 18 (September 6, 2019): 4881. http://dx.doi.org/10.3390/su11184881.

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Given high business risks and interdependency with various organizations in biopharmaceutical industry, business model has become a key element for firms that aim to be more sustainable and profitable. Despite its growing importance, research on the business model design in biopharmaceutical industry is limited. In particular, there is a lack of research dealing with business models or strategies for latecomers. In the face of drastic changes such as market expansion and patent expiration, there has been growing interest in latecomer’s business model in the biopharmaceutical industry. This study identifies different types of business model designs using hierarchical clustering. Based on an empirical study of 313 biopharmaceutical firms in Korea, we find three types of business models: business diversified research firm, non-diversified research firm, and mature firm. We then compare the general characteristics and performances of each cluster. The findings indicate that business diversification of biopharmaceutical firms is beneficial in terms of profit. This implies that the biopharmaceutical firms in latecomer countries such as Korea are recommended to consider business diversification for sustainable management.
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van der Tempel, Jan, and David-Pieter Molenaar. "Wind Turbine Structural Dynamics – A Review of the Principles for Modern Power Generation, Onshore and Offshore." Wind Engineering 26, no. 4 (July 2002): 211–22. http://dx.doi.org/10.1260/030952402321039412.

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Wind turbines for electricity production have two seemingly opposing constraints; they need to be structural secure yet of low cost. To meet the first constraint, it would be an obvious choice to design a stiff structure of consequently large mass but this would drive up the cost. By reducing the mass a more cost effective turbine can be realized. However, such lightweight structures are by definition more flexible. To design a cost effective flexible system, thorough understanding of the dynamics is essential. This paper reviews the theoretical basics of the dynamic design options and applies these to realistic situations, including offshore machines under wave action. The wind energy converter and the support structure form an integrated dynamic system that must be developed in mutual interdependency and close co-operation. This paper provides a contribution to this integration process by extending the design approach initiated in the Opti-OWECS study [1] and the work of Kühn [2].
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Egede-Nissen, Veslemøy, Gerd Sylvi Sellevold, Rita Jakobsen, and Venke Sørlie. "Minority healthcare providers experience challenges, trust, and interdependency in a multicultural team." Nursing Ethics 26, no. 5 (March 25, 2018): 1326–36. http://dx.doi.org/10.1177/0969733017752546.

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Background: The nursing community in the Nordic countries has become multicultural because of migration from European, Asian and African countries. In Norway, minority health care providers are recruited in to nursing homes which have become multicultural workplaces. They overcome challenges such as language and strangeness but as a group they are vulnerable and exposed to many challenges. Purpose: The aim is to explore minority healthcare providers, trained nurses and nurses’ assistants, and their experiences of challenges when working in a multicultural team in a Norwegian context. Research method: The study has a qualitative design, using narrative interviews, and a phenomenological–hermeneutic analysis method to explore the experiences of challenges in dementia care. Ethical considerations: The study was approved by The Norwegian Regional Ethics Committee, and the Norwegian Social Science Data Services. Participation and research context: Five informants from different African, Asian and European countries participated in the study. The study was conducted in a Norwegian nursing home, in a dementia care unit. Findings: The results show that minority health care providers experience and find meaning in being a member of a team, they overcome challenges, characterized by the interdependency in the team, appreciating new cultural experiences and striving to belong. They must overcome challenges such as language problems and the feeling of strangeness. Discussion: The findings are discussed considering Løgstrup’s ethic of proximity, the ethical demand of trust, and interdependency. The ethical demand is an answer to a common, transparent, unspoken agreement to be met, seen, and understood. Conclusion: The study shows that cooperation in a multi-professional and multi-ethnic team is important, and secures the quality of care to persons with dementia. Further research is necessary to examine the relation between a multi-ethnic staff and the patients experiencing dementia. Further research is necessary to examine ethnicity, the relation between a multi-ethnic staff, the patients experiencing dementia and next of kin.
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Kumar, Rakesh. "Does trade interdependency lead linkages between stock markets? A case of South Asian countries." International Journal of Emerging Markets 15, no. 3 (September 16, 2019): 490–506. http://dx.doi.org/10.1108/ijoem-08-2018-0446.

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Purpose The purpose of this paper is to test the dynamic linkages among the stock markets of four South Asian countries (India, Pakistan, Bangladesh and Sri Lanka) in the backdrop of trade interdependency. Design/methodology/approach Listed indices are used to serve the proxy of stock markets of four countries for the period: January 2000–December 2018. The study uses the autoregressive distributed lag model and Granger causality techniques in multivariate frameworks while focusing on intraregional trade as an exogenous factor for testing the long- and short-run causality in the given data set, hence raising the quality of statistical inference. Findings The results highlight that India and Pakistan are net exporters to the South Asian region, while Bangladesh and Sri Lanka are net importers from the region. While testing the stock markets linkages, the expanded intraregional trade volumes (exports plus imports) have occurred with the significant cointegration of stock markets of India and Pakistan with the other stock markets in the long run. In the short run, the stock markets of India, Pakistan and Sri Lanka report bidirectional causality without having significant spillovers of intraregional trade on the stock prices. Research limitations/implications The study relies on the multivariate techniques with stock prices and regional trade share as the exogenous variables. Further the regulatory, political and economic conditions of sample countries are fundamentally different which in turn affect their degree of trade interdependency and integration between the stock markets. Practical implications Nonsignificant cointegration of the stock markets of Sri Lanka and Bangladesh highlights the possibility of portfolio diversification in the long run, while the significant bidirectional causalities between the stock markets highlight the lesser degree of portfolio diversifications in the short run. Originality/value Pioneer efforts are made to examine the dynamic linkages between the South Asian stock markets while focusing on regional trade interdependency. The results provide new insight in the dynamics of stock returns of South Asian stock markets in the backdrop of intraregional trade.
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Toubin, M., D. Serre, Y. Diab, and R. Laganier. "Brief communication "An auto-diagnosis tool to highlight interdependencies between urban technical networks"." Natural Hazards and Earth System Sciences 12, no. 7 (July 19, 2012): 2219–24. http://dx.doi.org/10.5194/nhess-12-2219-2012.

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Abstract. Natural hazards threaten the urban system and its components that are likely to fail. With their high degree of interdependency, urban networks and services are critical issues for the resilience of a city. And yet, network managers are scarcely aware of their flaws and dependencies and they are reluctant to take them into account. In order to develop an operational tool to improve urban resilience, we propose here an auto-diagnosis method to be completed by network managers. The subsequent confrontation of all diagnoses is the basis of collaborative research for problem identification and solution design. The tool is experimented with the Parisian urban transport society.
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Andersen, Simone Nyholm, and Ole Broberg. "Transfer of ergonomics knowledge from participatory simulation events into hospital design projects." Work 68, no. 2 (February 26, 2021): 365–78. http://dx.doi.org/10.3233/wor-203379.

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BACKGROUND: Participatory simulation (PS) is a method that can be used to integrate ergonomics and safety into workplace design projects. Previous studies have mainly focused on tools and methods for the simulation activities. The subsequent process of transferring and integrating the simulation outcomes into the design of workplaces is poorly understood. OBJECTIVE: This study sets out to study the role of actors and objects in the transfer of ergonomics knowledge generated in PS events and in the integration of this knowledge into a design project. The study identifies factors that influence what part of the simulation outcomes are integrated. METHODS: The empirical context of the study was six PS events that were part of a hospital design project. The events were investigated based on knowledge transfer theory, observations, interviews and document studies. RESULTS: Actors and objects with abilities of transferring ergonomics knowledge from the PS events to the hospital design project were identified. The study indicated that persons producing the objects functioned as a filter, meaning that not all ergonomics knowledge was transferred from the PS events. The main influencing factors on the integration were: predetermined building dimensions and room interdependency. CONCLUSIONS: Four recommendations were proposed for ergonomists and safety professionals when planning PS events.
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Ratajczak-Mrozek, Milena, and Magdalena Herbeć. "To be independent or balance interdependence?" IMP Journal 10, no. 2 (June 13, 2016): 260–75. http://dx.doi.org/10.1108/imp-08-2015-0048.

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Purpose – The purpose of this paper is to identify in what way micro and small firms from low-technology industries which are dependent on foreign companies can ensure that they derive benefits from these relationships and what is more, in what way government policy should support this. Design/methodology/approach – A longitudinal study of a furniture company has been used. The company’s relationship with its large foreign customer is analysed from the perspective of the market-oriented power dependence and the IMP interdependence concept. Additionally the secondary sources of information about Polish furniture industry have been used in order to present its international specificity. Findings – The analysis shows that micro and small firms may derive benefits from their relationships with foreign entities due to their flexibility and the creation of heavy resources based on the standards of cooperation. Policies supporting exports and internationalisation cannot be isolated activities which end with the creation of foreign contacts and initiating transactions. Policy makers should concentrate on the support of the knowledge and experience exchange in terms of maintaining contacts with foreign entities as well as creation of a favourable framework of conditions for companies. Practical implications – The recommendations may be applied to design a policy supporting micro and small enterprises representing low-technology industries from economies with a limited internal market. Originality/value – The paper compares the perspective of a market-orientated power-dependency concept with the IMP interdependency approach. This sheds a light by adding an analysis of how to best utilise interdependencies on both sides of the supplier-customer interface. Both opportunities and hindrances resulting from the relationship between small firms and larger foreign companies are highlighted. Thanks to this approach a discussion is conducted in order to illustrate the policy implications of supporting micro and small enterprises from low-technology industries.
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SHAH, DHAVAL, KYU J. HAN, and SHRIKANTH S. NARAYANAN. "ROBUST MULTIMODAL PERSON RECOGNITION USING LOW-COMPLEXITY AUDIO-VISUAL FEATURE FUSION APPROACHES." International Journal of Semantic Computing 04, no. 02 (June 2010): 155–79. http://dx.doi.org/10.1142/s1793351x10000985.

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In this paper, we first show the importance of face-voice correlation for audio-visual person recognition. We propose a simple multimodal fusion technique which preserves the correlation between audio-visual features during speech and evaluate the performance of such a system against audio-only, video-only, and audio-visual systems which use audio and visual features neglecting the interdependency of a person's spoken utterance and the associated facial movements. Experiments performed on the VidTIMIT dataset show that the proposed multimodal fusion scheme has a lower error rate than all other comparison conditions and is more robust against replay attacks. The simplicity of the fusion technique allows for low-complexity designs for a simple low-cost real-time DSP implementation. We then discuss some problems associated with the previously proposed design and, as a solution to those problems, propose two novel classifier designs which provide more flexibility and a convenient way to represent multimodal data where each modality has different characteristics. We also show that these novel classifier designs offer superior performance in terms of both accuracy and robustness.
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Sessions, Deanna, Alexander Cook, Kazuko Fuchi, Andrew Gillman, Gregory Huff, and Philip Buskohl. "Origami-Inspired Frequency Selective Surface with Fixed Frequency Response under Folding." Sensors 19, no. 21 (November 5, 2019): 4808. http://dx.doi.org/10.3390/s19214808.

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Filtering of electromagnetic signals is key for improved signal to noise ratios for a broad class of devices. However, maintaining filter performance in systems undergoing large changes in shape can be challenging, due to the interdependency between element geometry, orientation and lattice spacing. To address this challenge, an origami-based, reconfigurable spatial X-band filter with consistent frequency filtering is presented. Direct-write additive manufacturing is used to print metallic Archimedean spiral elements in a lattice on the substrate. Elements in the lattice couple to one another and this results in a frequency selective surface acting as a stop-band filter at a target frequency. The lattice is designed to maintain the filtered frequency through multiple fold angles. The combined design, modeling, fabrication, and experimental characterization results of this study provide a set of guidelines for future design of physically reconfigurable filters exhibiting sustained performance.
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Gotangco, Charlotte Kendra, Abigail Marie Favis, Ma Aileen Leah Guzman, Marion Lara Tan, Carissa Quintana, and Jairus Carmela Josol. "A supply chain framework for characterizing indirect vulnerability." International Journal of Climate Change Strategies and Management 9, no. 2 (March 20, 2017): 184–206. http://dx.doi.org/10.1108/ijccsm-04-2015-0046.

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Purpose Climate vulnerability assessments are often operationalized by the analysis of indicators defined by the spatial boundaries of the community under study. These, however, sometimes fail to capture interdependency among communities for basic resources. This paper aims to propose a framework for characterizing vulnerability caused by interdependency by adapting a supply chain lens. Design/methodology/approach The paper proposes a definition for “indirect vulnerability” that recognizes the transboundary and teleconnected nature of vulnerability arising from resource networks among cities and communities. A conceptual framework using a supply chain approach is presented for climate hazards in particular. This approach is then demonstrated through a rapid appraisal of the rice, energy and water supply chains and the waste management chains of Metro Manila. Findings The application of the supply chain lens to assessing the indirect vulnerability of Metro Manila brings to fore issues extending beyond the decision-making boundaries of local government units. Addressing these will require vertical government coordination and horizontal inter-sectoral collaboration. Thus, this supply chain-based indirect vulnerability assessment can be complementary to traditional vulnerability assessments in providing a larger systems perspective. Originality/value Innovative tools are needed to make community vulnerability assessments both holistic and tractable. Existing methods in the private sector can be adapted rather than reinventing the wheel. This supply chain framework can be a useful decision support and planning tool across governance levels to comprehensively address vulnerability.
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Chen, Yu-Ping, and Margaret Shaffer. "The influence of expatriate spouses’ coping strategies on expatriate and spouse adjustment." Journal of Global Mobility: The Home of Expatriate Management Research 6, no. 1 (March 12, 2018): 20–39. http://dx.doi.org/10.1108/jgm-07-2016-0032.

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Purpose Drawing upon Folkman and Lazarus’ (1984) coping framework and interdependence theory (Thibaut and Kelley, 1959), the purpose of this paper is to investigate how expatriate spouses’ coping strategies (problem-focused and emotion-focused) affect expatriate spouse adjustment and expatriate adjustment. In addition, the authors also examine the mediating effect of expatriate adjustment on the spouse coping strategies-spouse adjustment relationship. Design/methodology/approach To test these relationships, the authors collected multi-source data from 191 expatriate spouses and their expatriate partners living in 37 countries. Findings The results revealed that problem- and emotion-focused coping strategies positively and negatively, respectively, influenced all types of spouse adjustment: personal, interaction, and cultural. Both forms of spouse coping also influenced expatriate adjustment. The authors also found that expatriate adjustment mediated the relationship between expatriate spouses’ coping strategies and spouse adjustment. Practical implications The results suggest that multinational organizations should pay equal attention to the adjustment of both their expatriates and their spouses. Both expatriates and their spouses should be included in the initial selection process and in pre-departure training to get well equipped before the international assignment. Training spouses to adopt problem-focused coping strategies would help to facilitate the effective adjustment of both spouses and expatriates. Originality/value The research provides one of the first examinations that investigate expatriate spouses’ coping strategies and their impact on expatriate and expatriate spouse adjustment. This research also highlights the interdependency of expatriates and their spouses.
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Wong, IpKin Anthony, Hoi In Veronica Fong, Aliana Man Wai Leong, and Jacky Xi Li. "Predicting event tourists’ gambling decision: the cross-level effect of brand equity." International Journal of Contemporary Hospitality Management 31, no. 7 (July 8, 2019): 2951–69. http://dx.doi.org/10.1108/ijchm-05-2018-0434.

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Purpose The scant literature on MICE (meetings, incentives, conferences and exhibitions) tourists’ gambling behavior calls for a need to explore how their decision to gamble (hereafter, “gambling decision”) may unfold. Consequently, several questions germane to the inter-relationships among event tourists’ characteristics, casinos attributes, and gambling behaviors remain largely unaddressed. This paper aims to address the void in the literature by investigating event participants’ gambling decision. Design/methodology/approach Data were collected based on two samples, and a multilevel design was used to test the proposed model. Demographic and event-related participant characteristics were examined as antecedents of gambling decision at the individual level. Event goers’ accommodation characteristics such as brand equity and type of hotel were explored as cross-level effects on the individual-level factors and relationships. Findings Results of the study illustrate a joint influence – in terms of both direct and moderating effects – of individual-level and organizational-level characteristics on gambling decision. In particular, brand equity moderates the relationships leading from demographic and event-related characteristics to gambling decision. Practical implications The inter-relationships among events, accommodations and casinos present an opportunity for hospitality practitioners to better integrate these three services in a more coherent experiential offering for the ever-demanding MICE attendees. Findings also help practitioners to justify their targeting strategy. Originality/value The proposed framework presents the dynamic nature of the hospitality industry in which the event, hotel and casino sectors are interdependent, a picture hitherto prevented by the single-level oriented nature of gambling and hospitality research which largely focuses on the individual perspective. Given the dynamic nature of the hospitality industry, the findings elucidate a complex interdependency of customer needs.
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Almarri, Khalid, and Halim Boussabaine. "Interdependency of the critical success factors and ex-post performance indicators of PPP projects." Built Environment Project and Asset Management 7, no. 5 (November 16, 2017): 546–56. http://dx.doi.org/10.1108/bepam-05-2017-0031.

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Purpose There is lack of literature on the evaluation of PPP projects performance based on critical success factors (CSFs). Thus, the purpose of this paper is to investigate and establish which of the CSFs are good predictor of PPP projects performance in terms of success criteria. Design/methodology/approach A questionnaire survey was developed based on PPP performance indicators and CSFs identified through a rigorous literature review. It was administrated among experts in PPP from the UK and the UAE. The respondents were selected purely on their work experience in PPP projects. The sites for collecting data were selected based on the similarity of the procurement methods between the two countries. The data were initially analysed using descriptive statics to identify the association between CSFs and PPP performance indicators. Multiple regression analysis was used to examine which of the CSFs were significant predictor of PPP projects performance. Findings The results demonstrated that “project technical feasibility, social support and local financial market assessment” contribute significantly to time performance. Detailed cost/benefits assessment contributed significantly to the cost, time and quality performance. Appropriate risk allocation and multi-benefit objectives of all stakeholders were found to be significant predictors of the service performance. CSFs “social support and detailed cost/benefits assessment” contribute positively to profit and variation performances. CSFs “profit and transparent procurement” are negatively associated with the variation performance. Cost and quality were the least performance criteria that could be predicted by the factors associated with this study. Practical implications The findings are expected to benefit the upper management of local governments and stakeholders to make informed decisions by understanding the link between the CSFs and the generic performance success measures at the onset of the of PPP project. Originality/value This study expands the existing literature by using the CSFs to predict the performance success of PPP projects.
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Lakhanpal, Bharat. "Towards Determining the Appropriate Systems Development Environment: The Role of Task Characteristics." Journal of Information Technology 7, no. 1 (March 1992): 37–43. http://dx.doi.org/10.1177/026839629200700106.

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The growth of user developed computer-based applications (UDA) presents today's organizations with a means to augment traditional systems development by Information Systems professionals. In order to effectively use the resources offered by these two development environments, organizations need to answer the question: given a systems requirement, which development environment should be used to ensure success. This paper hypothesizes that the answer to this question depends upon the characteristics of the task? Drawing upon previous systems analysis and design research, we examine the effect of a task's degree of structure, interdependency, scope and periodicity, on the appropriate development environment. Results from a preliminary empirical test indicate that these task characteristics are useful in suggesting the appropriate environment for successful development of an information system.
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Krieger, J., V. Rößner-Ruff, D. Hoins, and I. T. Graef-Calliess. "Aspects of Recovery and Resilience–factors Enabling an Independent and Fulfilling Life." European Psychiatry 41, S1 (April 2017): S610. http://dx.doi.org/10.1016/j.eurpsy.2017.01.964.

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IntroductionThe concept “recovery” takes the position that individuals with severe chronic psychiatric disorders can recover and establish a certain degree of mental stability that can enable an independent and fulfilling life. To sustain recovery different variables and interdependent factors are needed, f.e. psychological resilience and empowerment. Actually, there are few studies focusing on the interdependency of recovery and resilience in patients with severe chronic psychiatric disorders, especially with an emphasis on overall psychiatric diagnosis and a longitudinal section.ObjectiveThe study examines residential patients with severe chronic psychiatric disorders who lived in a long-term care institution for psychiatric rehabilitation (SGB XII) in Lower Saxony and who were able to move out and live by themselves in 2016. Persons with mental retardation and patients who have spent more than 30 years in a long-term care institution will be excluded.MethodsRandomised controlled trial based on a mixed-methods-design and a longitudinal course (5 follow-ups within 24 months after the first interview).AimsInvestigate factors for independent living on different levels (like micro, meso, macro) with focus on recovery and resilience by patients with severe chronic psychiatric disorders.ResultsFirst results of a pilot study and focus groups will be presented.ConclusionResults of investigation should be used in different subject areas like identification of factors enabling independent living and creation of effective therapy interventions for patients with severe chronic psychiatric disorders who have lived in a long-term care institution.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Wang, Jue-Fan JF, and David DC Tarn. "Are two heads better than one? Intellectual capital, learning and knowledge sharing in a dyadic interdisciplinary relationship." Journal of Knowledge Management 22, no. 6 (August 13, 2018): 1379–407. http://dx.doi.org/10.1108/jkm-04-2017-0145.

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PurposePast studies have paid extensive attention to investigate learning issues in individual, organizational and team contexts. Learning activities in the workplace, however, often occur in the interdisciplinary dyadic context. Hence, the purpose of this paper is to clarify what factors make interdisciplinary dyads lead to better learning effects. The authors attempted to clarify two major agendas: What knowledge factors (intellectual capitals) owned by the parties of the dyads can induce better learning effects? What contextual factors (learning tasks) can make better learning effects during the dyadic learning process?Design/methodology/approachTo examine the previous agendas, the authors first conducted in-depth interviews and an exploratory survey so that a four-element dyadic intellectual capital (DIC) architecture was circumscribed: knowledge interdependency, expertise similarity, collaborative routines and mutual trust. Dyadic learning tasks were classified as exploitative and exploratory learning. The authors then sampled 248 respondents for the formal empirical survey to examine the relationship between DIC, dyadic learning tasks and knowledge sharing.FindingsThe statistical evidences confirmed the positive relationships between DIC and knowledge sharing, and the results also signified the previous relationships with a mediating effect from exploratory learning, while the effect of exploitative learning was not supported. Thus, only dyads (the two heads) with knowledge interdependency and mutual trust can make the exploratory task better than that of one individual (the one head).Originality/valueThis study provides a new insight into the learning issue with an interdisciplinary dyadic perspective to supplement the existing gap between academic efforts and learning practices in the workplace.
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Afzal, Farman, Shao Yunfei, Muhammad Sajid, and Fahim Afzal. "Integrated priority decision index for risk assessment in chaos: cost overruns in transport projects." Engineering, Construction and Architectural Management 27, no. 4 (October 24, 2019): 825–49. http://dx.doi.org/10.1108/ecam-02-2019-0079.

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Purpose Cost overrun is inherent to project chaos, which is one of the key drivers of project failure. The purpose of this paper is to explore the critical elements of complexity-risk interdependency for cost-chaos in the construction management domain by utilizing a multi-criteria decision model. Design/methodology/approach A total of 12 complexity and 60 risk attributes are initially identified from the literature and using expert’s judgements. For the development of a structured hierarchy of key complexity and risk drivers, a real-time Delphi process is adopted for recording and evaluating the responses from experts. Afterwards, a pair-wise comparison using analytical network processing is performed to measure complexity-risk interdependencies against cost alternatives. Findings The findings of the integrated priority decision index (IPDI) suggest that uncertainties related to contingency and escalation costs are the main sources of cost overrun in project drift, along with the key elements such as “the use of innovative technology,” “multiple contracts,” “low advance payment,” “change in design,” “unclear specifications” and “the lack of experience” appear to be more significant to chaos in complexity-risk interdependency network. Research limitations/implications This study did not address the uncertainty and vulnerability exit in the judgment process, therefore, this framework can be extended using fuzzy logic to better evaluate the significance of cost-chaos drivers. Practical implications These results may assist the management of cost overrun to avoid chaos in a project. The proposed model can be applied within project risk management practices to make better-informed technical decisions in the early phases of the project life cycle where uncertainty is high. Originality/value This research addresses the importance of cost overruns as a source of project chaos in dynamic systems where projects reach the edge of chaos and progress stops. A new IPDI index contributes toward evaluating the severity of complexity and risk and their interdependencies which create cost-chaos in infrastructure transport projects.
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Osman, Kresimir, Dragi Stamenkovic, and Mihailo Lazarevic. "Integration of system design and production processes in robust mechatronic product architectures development - extended M-FBFP framework." Chemical Industry 67, no. 5 (2013): 759–71. http://dx.doi.org/10.2298/hemind121109003o.

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The complexity of mechatronic products such as climate chamber subsystems results in enormous difficulties in understanding where the main design process inefficiencies are. It is therefore extremely difficult to determine which improvements will have the most significant impact on a company or on a specific project. Mechatronic products are characterized by a high level of interdisciplinarity and complexity in the technical system and the relevant development processes. The main challenge in this respect is how to deal with the high complexity of and a variety of interdependencies in such products. We are therefore presenting a framework for integrated mechatronic product and process modelling - extended M-FBFP framework. This framework provides different independent perspectives of the overall product to improve their architecture. As a result of the proposed framework, risk analysis through subsystems in the components domain and through processes in the technical processes domain is enabled and it is now possible to provide feedback on product architecture. To obtain optimally robust product architectures from available alternative solutions, an evaluation analysis was performed across all stages, including the initialization and subsequent refinements with several evaluation criteria: complexity, interdependency and process duration. To test the validity of the proposed framework, we are presenting a case study involving a climate chamber with heat regeneration.
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Cinar, Gokcin, Elena Garcia, and Dimitri N. Mavris. "A framework for electrified propulsion architecture and operation analysis." Aircraft Engineering and Aerospace Technology 92, no. 5 (August 19, 2019): 675–84. http://dx.doi.org/10.1108/aeat-06-2019-0118.

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Purpose The purpose of this paper was to create a generic and flexible framework for the exploration, evaluation and side-by-side comparison of novel propulsion architectures. The intent for these evaluations was to account for varying operation strategies and to support architectural design space decisions, at the conceptual design stages, rather than single-point design solutions. Design/methodology/approach To this end, main propulsion subsystems were categorized into energy, power and thrust sources. Two types of matrices, namely, the property and interdependency matrices, were created to describe the relationships and power flows among these sources. These matrices were used to define various electrified propulsion architectures, including, but not limited to, turboelectric, series-parallel and distributed electric propulsion configurations. Findings As a case study, the matrices were used to generate and operate the distributed electric propulsion architecture of NASA’s X-57 Mod IV aircraft concept. The mission performance results were acceptably close to the data obtained from the literature. Finally, the matrices were used to simulate the changes in the operation strategy under two motor failure scenarios to demonstrate the ease of use, rapidness and automation. Originality/value It was seen that this new framework enables rapid and analysis-based comparisons among unconventional propulsion architectures where solutions are driven by requirements.
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Shahzad, Khuram, Tahir Ali, Marko Kohtamäki, and Josu Takala. "Enabling roles of relationship governance mechanisms in the choice of inter-firm conflict resolution strategies." Journal of Business & Industrial Marketing 35, no. 6 (January 27, 2020): 957–69. http://dx.doi.org/10.1108/jbim-06-2019-0309.

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Purpose This study aims to present an integrated framework and investigate the enabling roles of governance mechanisms (i.e. contract, interdependence, trust and communication) in the choice of effective conflict resolution strategies (CRS) that in turn facilitate buyer–supplier relationship (BSR) performance. Design/methodology/approach Using Web-survey, data are collected from 170 Finnish small- and medium-sized enterprises that have key relationships with suppliers. This study uses structural equation modeling to test the research framework and hypotheses of the study. Findings The results based on empirical evidence demonstrate how the firms’ choice of CRS depends on the governance mechanisms. The problem solving approach is the most preferable choice, while the legalistic approach remains the last resort influenced by different governance mechanisms. Interdependence and trust between firms drive them to compromise while resolving inter-organizational conflicts. The selected strategies by firms may also either reinforce or deteriorate relationship performance. Practical implications Supply chain managers should recognize the context in which these choices of CRS are made, as it guides them to anticipate their partner’s behavior as well as influences their strategy choice decisions when coping with conflicts. A trustworthy environment supports in providing a certain level of confidence while interdependency drives firms to compromise. The legalistic strategy can hurt the partner’s feelings and diminish relationship performance. Originality/value Conflicts in BSR have become inevitable, but the existing literature is missing evidence on how companies use CRS to enhance relationship performance. Hence, this study differs from those of earlier conflict studies, as it provides a more integrative perspective of buyer–supplier conflict resolution process. This study argues that relationship governance mechanisms can be connected to the choice of effective CRS when tensions arise. Moreover, by assessing the relationship between CRS and relationship performance, this study offers valuable insights to understand that effective strategies enable partners to mutually adapt constructive approaches that facilitate cooperative behavior and accommodate both parties’ interests and needs.
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Zhang, Xiaodan, Yanping Gong, and Luluo Peng. "The impact of interdependence on behavioral engagement in online communities." Marketing Intelligence & Planning 38, no. 4 (March 12, 2020): 417–31. http://dx.doi.org/10.1108/mip-05-2019-0285.

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PurposeOnline communities are increasingly important for organizations and marketers. However, the issue of how structural features of online communities affect consumers' behavioral engagement remains relatively unexplored. The purpose of this study is to examine how and why different types of interdependence within online communities (i.e. task/outcome interdependence) influence individual engagement in group activities, thereby providing insights regarding online community design.Design/methodology/approachTwo surveys were conducted with two online groups in China. One is a task-interdependent group from Douban Forum, and the other is an outcome-interdependent group from Sina Forum. A total of 159 valid responses from the task-interdependent group and 162 valid responses from the outcome-interdependent group were received. We analyzed the data using multivariate regression with Smart PLS and SPSS.FindingsThe results reveal that both task and outcome interdependence are positively related to individual behavioral engagement in online group behavior, and collective efficacy mediates the aforementioned effects. In addition, task complexity moderates the relationship between task interdependence and individual behavioral engagement; communication within group moderates the relationship between outcome interdependence and behavioral engagement, and the effect is mediated by collective efficacy.Originality/valueThis study is the first to investigate the role of an important factor of group structure, namely, interdependence, in fueling individual behavioral engagement in online communities. The results shed light on companies' design strategies to develop and retain online community members and also provide important insights for researchers interested in social network marketing.
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Hasling, Karen Marie. "Perspectives on the role of materials in sustainable product design education." Temes de Disseny, no. 34 (November 26, 2018): 104–15. http://dx.doi.org/10.46467/tdd34.2018.104-115.

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This paper discusses present and future roles of materials in sustainable design with a focus on design education. With a multifaceted understanding of materials, from an educational perspective, the challenge is to ensure that students are able to navigate within the materials in the design field and to reflect on its potentials and limitations in the process. Moreover, when further targeting materials within a design for sustainability agenda that is complex in itself, it has been observed that students find it overwhelming. Accordingly, the paper unfolds ways of understanding the role of materials in sustainable design education as a way to demonstrate the positions they can take as future designers. Based on a study conducted during a materials course in a sustainable design engineering program, research was done on how students perceive the role of materials in sustainable design. This was done by extracting statements from students’ final assessments that were framed as essays on the topic. The statements, clustered into categories, illustrated the diversity of approaches students take. For teaching, this underscores the necessity to not only apply a broad perspective in the field of materials in sustainable design, but also to emphasize the large degree of entanglement and interdependency between perspectives. To further discuss this in an educational context and to facilitate developing teaching within this topic, a space unfolding two frameworks, one that considers key competences in working with sustainability and another that discusses the increasing number of approaches embracing design for sustainability, was introduced as a means to describe the complexity in the field. The space was first used to position categories of students’ approaches from the empirical study, then expanded to propose four future roles of materials: as environmental impactors, as re-establishing connections, as moderators for social innovation and as media for critical and speculative design.
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48

Li, Xiaona, Xiaosheng Wang, Sundaram Sampath, Mingchao Li, and Jiawei Wang. "A Regression Model Based on Uncertain Set." Asian Business Research 2, no. 3 (November 10, 2017): 33. http://dx.doi.org/10.20849/abr.v2i3.215.

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Traditional regression analysis is a method of statistical data analysis based on probability theory. Regression models play crucial roles in various branches of statistics including design of experiments, econometrics etc. In regression models, the dependent variable is assumed to be of stochastic nature where randomness enters via errors. Further, the independent variables are assumed to be of deterministic nature. The regression coefficients which explain the interdependency between the variables are assumed to be crisp quantities. Whenever, difficulty arises in expressing the values taken by the dependent variable in terms of crisp quantities, traditional regression models become irrelevant. This paper provides a framework for dealing with such situations on using the notion of uncertain sets of various forms. In this paper, a solution for this problem obtained via linear programming technique is introduced along with an illustrative example.
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Han, Seung Hyun, Seung Won Yoon, and Chugnil Chae. "Building social capital and learning relationships through knowledge sharing: a social network approach of management students’ cases." Journal of Knowledge Management 24, no. 4 (May 1, 2020): 921–39. http://dx.doi.org/10.1108/jkm-11-2019-0641.

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Purpose This study has adopted theoretical frameworks of social capital, social networks and the Community of Practice to study how different types of relationships influence the knowledge sharing relationship. This paper aims to suggest that building social capital, particularly structural capital, is part of expected key in knowledge sharing networks. Design/methodology/approach Using social capital theory, through social network analysis of 111 management students in the US business school, identified key social capital dimension in knowledge sharing networks. To incorporate the interdependency among examined relationships, network logistic regression with the quadric assignment procedure was used. Findings The proposed research model showed that about 98% of the existence of knowledge sharing relationship could be correctly predicted. Among three dimensions of social capital, this study found a superior influence of the structural dimension (i.e. task interdependence) in predicting having a knowledge sharing relationship. The significant effect of trust and friendship network on knowledge sharing was also found. Implications for practice and suggestions for future research were also discussed. Originality/value Existing literature as to how people learn through knowledge sharing is limited in at least two important ways. First, scholars of knowledge management acknowledge that organizational knowledge originates from dyadic relationships between or among individuals at work. However, prior research has heavily relied on survey responses from one’s perception of knowledge sharing experience, viewing as unidirectional. Second, substantial attention of prior research has been devoted to the factors of individual attributes. Emphasizing individual interactions as the fundamental building blocks of learning, this study focuses more on relational characteristics of knowledge sharing based on social capital theory.
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Swiecki, Zachari. "Measuring the Impact of Interdependence on Individuals During Collaborative Problem-Solving." Journal of Learning Analytics 8, no. 1 (April 9, 2021): 75–94. http://dx.doi.org/10.18608/jla.2021.7240.

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Collaboration analytics often focuses on assessing and monitoring individuals during collaborative problem-solving (CPS). A defining feature of CPS is the interdependence that exists between individuals when they work together — that is, how they respond to and influence one another over time. While models that account for the impact of interdependence at the individual level of analysis (interdependent models) exist, they are often highly complex. This complexity makes them potentially difficult to use in assessments and systems that need to be explainable for educators, learners, and other researchers. Measures of the impact of interdependence at the individual level of analysis could inform decisions as to whether interdependent models should be used, or whether simpler models will suffice. Such measures could also be used to investigate specific questions about interdependence in collaborative settings. In this paper, I present a novel method of measuring the impact of interdependence on individuals using epistemic network analysis. To provide evidence of the validity of the measure, I compare it to qualitative findings that describe the impact of interdependence on individuals participating in team training scenarios. To demonstrate the value of the measure, I use it to assess the impact of interdependence in these data overall and to test hypotheses regarding the collaborative task design. My results suggest that the measure can distinguish between individuals who have been impacted by interdependence differently, that interdependence is impactful in these data overall, and that aspects of the task design may have affected how some individuals were impacted by interdependence.
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