Academic literature on the topic 'Resource Based Theory'

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Journal articles on the topic "Resource Based Theory"

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Fossas Olalla, Marta. "The resource-based theory and human resources." International Advances in Economic Research 5, no. 1 (February 1999): 84–92. http://dx.doi.org/10.1007/bf02295034.

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Mills, John, Ken Platts, and Michael Bourne. "Applying resource‐based theory." International Journal of Operations & Production Management 23, no. 2 (February 2003): 148–66. http://dx.doi.org/10.1108/01443570310458429.

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Alvarez, Sharon A., and Lowell W. Busenitz. "The entrepreneurship of resource-based theory." Journal of Management 27, no. 6 (December 2001): 755–75. http://dx.doi.org/10.1177/014920630102700609.

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This paper examines the relationship between resource-based theory and entrepreneurship and develops insights that advance the boundaries of resource-based theory and begin to address important questions in entrepreneurship. We extend the boundaries of resource-based theory to include the cognitive ability of individual entrepreneurs. Entrepreneurs have individual-specific resources that facilitate the recognition of new opportunities and the assembling of resources for the venture. By focusing on resources, from opportunity recognition to the ability to organize these resources into a firm and then to the creation of heterogeneous outputs through the firm that are superior to the market, we help identify issues that begin to address the distinctive domain of entrepreneurship.
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Craig, Christopher A., Siyao Ma, and Song Feng. "Climate resources for camping: A resource-based theory perspective." Tourism Management Perspectives 45 (January 2023): 101072. http://dx.doi.org/10.1016/j.tmp.2022.101072.

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Kozlenkova, Irina V., Stephen A. Samaha, and Robert W. Palmatier. "Resource-based theory in marketing." Journal of the Academy of Marketing Science 42, no. 1 (April 6, 2013): 1–21. http://dx.doi.org/10.1007/s11747-013-0336-7.

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Das, T. K., and Bing-Sheng Teng. "A Resource-Based Theory of Strategic Alliances." Journal of Management 26, no. 1 (February 2000): 31–61. http://dx.doi.org/10.1177/014920630002600105.

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The resource-based view of the firm has not been systematically applied to strategic alliances. By examining the role of firm resources in strategic alliances, we attempt, in this paper, to put forward a general resource-based theory of strategic alliances, synthesizing the various findings in the literature on alliances from a resource-based view. The proposed theory covers four major aspects of strategic alliances: rationale, formation, structural preferences, and performance. The resource-based view suggests that the rationale for alliances is the value-creation potential of firm resources that are pooled together. We note that certain resource characteristics, such as imperfect mobility, imitability, and substitutability, promise accentuated value-creation, and thus facilitate alliance formation. We discuss how the resource profiles of partner firms would determine their structural preferences in terms of four major categories of alliances: equity joint ventures, minority equity alliances, bilateral contract-based alliances, and unilateral contract-based alliances. As part of the theory, we propose a typology of inter-partner resource alignment based on the two dimensions of resource similarity and resource utilization, yielding four types of alignment: supplementary, surplus, complementary, and wasteful. We also discuss how partner resource alignment directly affects collective strengths and inter-firm conflicts in alliances, which in turn contribute to alliance performance. Finally, we develop a number of propositions to facilitate empirical testing of the theoretical framework, suggest ways to carry out this testing, indicate future research directions, and list some of the more significant managerial implications of the framework.
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Tehseen, Shehnaz, and Sulaiman Sajilan. "Network competence based on resource-based view and resource dependence theory." International Journal of Trade and Global Markets 9, no. 1 (2016): 60. http://dx.doi.org/10.1504/ijtgm.2016.074138.

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Warnier, Vanessa, Xavier Weppe, and Xavier Lecocq. "Extending resource-based theory: considering strategic, ordinary and junk resources." Management Decision 51, no. 7 (August 2, 2013): 1359–79. http://dx.doi.org/10.1108/md-05-2012-0392.

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Mueller, Frank. "HUMAN RESOURCES AS STRATEGIC ASSETS: AN EVOLUTIONARY RESOURCE-BASED THEORY." Journal of Management Studies 33, no. 6 (November 1996): 757–85. http://dx.doi.org/10.1111/j.1467-6486.1996.tb00171.x.

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Wan, William P., Robert E. Hoskisson, Jeremy C. Short, and Daphne W. Yiu. "Resource-Based Theory and Corporate Diversification." Journal of Management 37, no. 5 (December 29, 2010): 1335–68. http://dx.doi.org/10.1177/0149206310391804.

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Dissertations / Theses on the topic "Resource Based Theory"

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Rolfe, Richard. "Information resource utilisation : accessibility based on concerns." Thesis, University of Kent, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302985.

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Xiahou, Haoling, and 夏侯皓凌. "Auction-based WLAN resource allocation in game theory perspective." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47869811.

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 Surge in WLAN development leads to urgent demand for more efficient bandwidth allocation methods. The bandwidth resource becomes more and more scarce. As a consequence, it demands both revenue maximizing and cost efficient allocation methods. To develop this sort of allocation methods, a dilemma between the target of maximizing service quality (in terms of user revenue) and the target of cost efficient allocation must be resolved. In this thesis, two novel auction-based time-slotted WLAN bandwidth allocation models are established, namely the Combination of Single-slot Second-Price Sealed Auction (CSSA) and the Multi-slot Vickrey Auction versus Homogeneous Objects (MVAH). The two models propose a new approach to the solution of the dilemma: user revenue is formulated by not only its revenue gain or loss related to the access to the bandwidth resource, but also by a series of WLAN transmission factors, including Packet Collision Rate and Minimal Packet Transmission error rate. In the two models, wireless bandwidth is time-slotted and bandwidth users compete for the access to these time slots. Initially, each bandwidth user joins a bidding group which is represented by its bidder. There is only one bandwidth provider in the coverage area of the WLAN. After being assigned virtual credit budget, every bidder bids for arbitrary slot combination in each bidding trial or all slots in one bidding trial, according to the bidding rule of adopted allocation model. Non-cooperative game formulation is thereafter introduced to analyze the revenue of each bidder, revenue of the provider, and revenue of the whole allocation system. Specifically, each bidder’s revenue function is differentiated by its bid; the extreme points of this partial differential equation, i.e., the best bids for the bidder, are computed. The bidding strategy formula for each single bidder is derived from the game formulation under the bidder’s budget limit. Each bidder adjusts its bids to attain the optimal revenue obtained from the bidding strategy formula. The allocation pattern is therefore formed. By means of calculation of the all-bidder revenue to whole system revenue ratio, the system efficiency values for both allocation models are analyzed. Conclusions can be derived from the formula of system efficiency: 1) CSSA benefits about 1 percent higher system efficiency unit than MVAH when only average throughputs of user groups differ. And both models iii- gain optimal system efficiencies when bidder’s average throughput differs 65 times pairwise. 2) The larger the number of users connecting to each bidder, the lower the system efficiency. And CSSA model attains higher system efficiency than MVAH when user numbers of user groups differ more than 3.2 times pairwise. In accordance with the pursuit of maximum system efficiency, new WLANs satisfying both revenue maximizing and cost efficient allocation demands can be established.
published_or_final_version
Electrical and Electronic Engineering
Master
Master of Philosophy
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Zhao, Jingjing. "Resource allocation for D2D communications based on matching theory." Thesis, Queen Mary, University of London, 2017. http://qmro.qmul.ac.uk/xmlui/handle/123456789/25990.

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Device-to-device (D2D) communications underlaying a cellular infrastructure takes advantage of the physical proximity of communicating devices and increasing resource utilisation. However, adopting D2D communications in complex scenarios poses substantial challenges for the resource allocation design. Meanwhile, matching theory has emerged as a promising framework for wireless resource allocation which can overcome some limitations of game theory and optimisation. This thesis focuses on the resource allocation optimisation for D2D communications based on matching theory. First, resource allocation policy is designed for D2D communications underlaying cellular networks. A novel spectrum allocation algorithm based on many-to-many matching is proposed to improve system sum rate. Additionally, considering the quality-of-service (QoS) requirements and priorities of di erent applications, a context-aware resource allocation algorithm based on many-to-one matching is proposed, which is capable of providing remarkable performance enhancement in terms of improved data rate, decreased packet error rate (PER) and reduced delay. Second, to improve resource utilisation, joint subchannel and power allocation problem for D2D communications with non-orthogonal multiple access (NOMA) is studied. For the subchannel allocation, a novel algorithm based on the many-to-one matching is proposed for obtaining a suboptimal solution. Since the power allocation problem is non-convex, sequential convex programming is adopted to transform the original power allocation problem to a convex one. The proposed algorithm is shown to enhance the network sum rate and number of accessed users. Third, driven by the trend of heterogeneity of cells, the resource allocation problem for NOMA-enhanced D2D communications in heterogeneous networks (HetNets) is investigated. In such a scenario, the proposed resource allocation algorithm is able to closely approach the optimal solution within a limited number of iterations and achieves higher sum rate compared to traditional HetNets schemes. Thorough theoretical analysis is conducted in the development of all proposed algorithms, and performance of proposed algorithm is evaluated via comprehensive simulations. This thesis concludes that matching theory based resource allocation for D2D communications achieves near-optimal performance with acceptable complexity. In addition, the application of D2D communications in NOMA and HetNets can improve system performance in terms of sum rate and users connectivity.
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Tsimba, Hilary Mutsawashe. "Queueing based resource allocation in cognitive radio networks." Diss., University of Pretoria, 2005. http://hdl.handle.net/2263/66250.

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With the increase in wireless technology devices and mobile users, wireless radio spectrum is coming under strain. Networks are becoming more and more congested and free usable spectrum is running out. This creates a resource allocation problem. The resource, wireless spectrum, needs to be allocated to users in a manner such that it is utilised efficiently and fairly. The objective of this research is to find a solution to the resource allocation problem in radio networks, i.e to increase the efficiency of spectrum utilisation by making maximum use of the spectrum that is currently available through taking advantage of co-existence and exploiting interference limits. The solution proposed entails adding more secondary users (SU) on a cognitive radio network (CRN) and having them transmit simultaneously with the primary user. A typical network layout was defined for the scenario. The interference temperature limit (ITL) was exploited to allow multiple SUs to share capacity. Weighting was applied to the SUs and was based on allowable transmission power under the ITL. Thus a more highly weighted SU will be allowed to transmit at more power. The weighting can be determined by some network-defined rule. Specific models that define the behaviour of the network were then developed using queuing theory, specifically weighted processor sharing techniques. Optimisation was finally applied to the models to maximize system performance. Convex optimization was deployed to minimize the length of the queue through the power allocation ratio. The system was simulated and results for the system performance obtained. Firstly, the performance of the proposed models under the processor-sharing techniques was determined and discussed, with explanations given. Then optimisation was applied to the processor-sharing results and the performance was measured. In addition, the system performance was compared to other existing solutions that were deemed closest to the proposed models.
Dissertation (MEng)--University of Pretoria, 2017.
Electrical, Electronic and Computer Engineering
MEng
Unrestricted
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Chen, Xin. "Adopting emerging integration technologies in organisations." Thesis, Brunel University, 2005. http://bura.brunel.ac.uk/handle/2438/5159.

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A review of the innovation and diffusion literature indicates a considerable amount of research, where attention is given to a range of features which may support integration technologies adoption. However, some literature suggests that the findings derived from the study of large enterprises cannot be generalised and applied in SMEs due to the distinct characteristics of SMEs. Although the adoption of integration technologies is recognised as being different between large and small companies, the literature on its adoption by SMEs remains limited. Nevertheless, in existing work, there is a lack of studies emphasising the reasons why SMEs and large companies take the decision to adopt integration technologies, focusing specifically on the different factors. This thesis therefore identifies the significant differences in the way that SMEs and large companies approach integration technologies, based on the existing literature, theoretical diffusion theories, and resource-based theory. In doing so, the parameters that can be used to explain the adoption of integration technologies in SMEs and large firms are identified, as nature of organisations, company size, integration needs, adoption factors for SMEs and large organisations, and time. Additionally, adoption factors are found and classified into three categories: adoption factors explicit to SMEs, adoption factors explicit to large organisations, and common factors. Based on this, a conceptual model is introduced to explain the different factors that influence adoption between SMEs and large organisations. The empirical contexts of the research are one project on integration technologies adoption, and four case studies on a large firm and three SMEs, which are analysed using an interpretive and qualitative research approach. The evidence suggests that the empirical data complement the identified dimensions nature of organisations, integration needs, company size and time. The empirical data also confirm that the current integration technologies adoption factors reported in the literature can be classified into common factors, factors explicit to SMEs, and factors explicit to large firms, to support a more comprehensive view of this area. An additional factor perceived future prospect has been considered as an influence on adoption in large organisations. The findings of this research can be useful to guide analysts and researchers in determining critical aspects of the complex issues involved for integration technologies adoption, and lead to suggestions for further valid research.
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Onur, Ozgur Deniz. "Optimal Video Adaptation For Resource Constrained Mobile Devices Based On Utility Theory." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1124148/index.pdf.

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This thesis proposes a novel system to determine the best representation of a video in the sense that, a user watching the video reaches the highest level of satisfaction possible, given the resource capabilities of the viewing device. Utility theory is used to obtain a utility function representing the user satisfaction as a function of video coding parameters, and the viewing device capabilities. The utility function is formulated as the weighted sum of three individual components. These components are chosen such that, the satisfaction on any one of the components is independent of the satisfaction on every other component. The advantage of such decomposition is the ability to express individual components as simple mathematical relations, modeling user satisfaction. Afterwards, the unknown parameters of these models are determined by results of subjective tests, performed by a multitude of users. Finally, simulated annealing is utilized to find the global optimum of this utility function representing the user satisfaction. Simulation results based on subjective viewing tests on a resource limited mobile device indicate a consistent user satisfaction by the determined optimal encoding parameters of the video.
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Davies, Tony. "Sourcing strategies and competitive advantage : an empirical analysis utilising resource based theory." Thesis, Liverpool John Moores University, 2012. http://researchonline.ljmu.ac.uk/6104/.

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This thesis is concerned with establishing whether particular sourcing strategies lead to the achievement of sustainable competitive advantage, and the affect that the type of power relationships have on the situation. The theoretical framework for the study was grounded in the resource-based view. A survey was undertaken of twelve sourcing strategies within six organisations. The organisations varied in size and were from different industries. Furthermore, the sourcing strategies comprised six reactive and six proactive approaches and exhibited a varied mix of different power relationships. This enabled a thorough examination of the variables to be carried out. Three critical cases were then analysed in greater depth in order to investigate some of the contextual factors and second-order findings that were uncovered during the survey. The study found that proactive sourcing strategies may lead to sustainable competitive advantage, particularly when combined with buyer dominant or interdependent power relationships, but reactive approaches do not. However, a number of intervening variables were identified that also appear to influence the situation, such as the nature of the purchase, the objective of the sourcing strategy, and the degree of commitment to and investment in the sourcing strategy. A model is developed which explains the relationship between sourcing strategies and sustainable competitive advantage.
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Li, Hao. "Banking theory based distributed resource management and scheduling for hybrid cloud computing." Thesis, University of Huddersfield, 2013. http://eprints.hud.ac.uk/id/eprint/23544/.

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Cloud computing is a computing model in which the network offers a dynamically scalable service based on virtualized resources. The resources in the cloud environment are heterogeneous and geographically distributed. The user does not need to know how to manage those who support the cloud computing infrastructure. From the view of cloud computing, all hardware, software and networks are resources. All of the resources are dynamically scalable on demand. It can offer a complete service for the user even when these service resources are geographically distributed. The user pays for only what they use (pay-per-use). Meanwhile, the transaction environment will decide how to manage resource usage and cost, because all of the transactions have to follow the rule of the market. How to manage and schedule resources effectively becomes a very important part of cloud computing, and how to setup a new framework to offer a reliable, safe and executable service are very important issues. The approach herein is a new contribution to cloud computing. It not only proposes a hybrid cloud computing model based on banking theory to manage transactions among all participants in the hybrid cloud computing environment, but also proposes a "Cloud Bank" framework to support all the related issues. There are some of technology and theory been used to offer contributions as below: 1. This thesis presents an Optimal Deposit-loan Ratio Theory to adjust the pricing between the resource provider and resource consumer to realize both benefit maximization and cloud service optimization for all participants. 2. It also offers a new pricing schema using Centralized Synchronous Algorithm and Distributed Price Adjustment Algorithm to control all lifecycles and dynamically price all resources. 3. Normally, commercial banks apply four factors mitigation and to predict the risk: Probability of Default, Loss Given Default, Exposure at Default and Maturity. This thesis applies Probability of Default model of credit risk to forecast the safety supply of the resource. The Logistic Regression Model been used to control some factors in resource allocation. At the same time, the thesis uses Multivariate Statistical analysis to predict risk. 4. The Cloud Bank model applies an improved Pareto Optimality Algorithm to build its own scheduling system. 5. In order to archive the above purpose, this thesis proposes a new QoS-based SLA-CBSAL to describe all the physical resource and the processing of thread. In order to support all the related algorithms and theories, the thesis uses the CloudSim simulation tools give a test result to support some of the Cloud Bank management strategies and algorithms. The experiment shows us that the Cloud Bank Model is a new possible solution for hybrid cloud computing. For future research direction, the author will focus on building real hybrid cloud computing and simulate actual user behaviour in a real environment, and continue to modify and improve the feasibility and effectiveness of the project. For the risk mitigation and prediction, the risks can be divided into the four categories: credit risk, liquidity risk, operational risk, and other risks. Although this thesis uses credit risk and liquidity risk research, in a real trading environment operational risks and other risks exist. Only through improvements to the designation of all risk types of analysis and strategy can our Cloud Bank be considered relatively complete.
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Brandon-Jones, Emma. "Institutional and capability perspectives on sustainability in operations and supply management : a dual theoretic analysis of the UK fashion sector." Thesis, University of Bath, 2013. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665378.

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Despite growing interest in sustainable operations and supply management (SOSM) from both academics and practitioners, literature examining the area remains fragmented. This thesis presents the findings of a study investigating the influence of exogenous pressures and endogenous capability-building, independently and interactively, on sustainable operations and supply management practice adoption. Exogenous pressures, such as regulation and consumer demands, may influence the decision to adopt specific SOSM practices. For example, within the fashion industry, media exposés have heightened consumer awareness of unethical practices creating pressure for fashion retailers to address these concerns within their supply chains more fully. Endogenous pressures, in this case relating to capability-building, may also influence the SOSM practices that organisations choose to adopt, such as the implementation of recycling strategies or energy efficiency initiatives which can reduce both the cost and environmental impact of the focal organisation.
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Tsaturyan, Tamara. "Projects as Governance Resources at Project-Based Organizations : The case of Umeå2014 European Capital of Culture." Thesis, Umeå universitet, Företagsekonomi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-84819.

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This thesis discusses the challenges of modern organizations in their efforts of designing relevant project governance systems. To address the challenge the paper proposes using resource-based view on project-based organizations in order to evaluate and identify key governance resources. Given that prevailing rational and standardized models in project-related literature provide organizations with homogeneous resource-base, this paper invites attention to those resources, which have the potential to deliver unique character to the organizations. The thesis first discusses the relevance of exploring projects as governance resources at project-based organizations, next screens the projects through VRIO framework of resource-based theory. Derived intangible resources and organizational resources are further explored at a case study organization. The findings are analysed through complex adaptive systems theory, where intrinsic motivations appear as sources for emerging project governance systems, while principal trust serves as a resource for self-organization of projects and project governance unit.
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Books on the topic "Resource Based Theory"

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Barney, Jay B. Resource-based theory: Creating and sustaining competitive advantage. Oxford: Oxford University Press, 2007.

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1952-, Montgomery Cynthia A., ed. Resource-based and evolutionary theories of the firm: Towards a synthesis. Boston: Kluwer Academic Publishers, 1995.

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Nothnagel, Katja. Empirical Research within Resource-Based Theory: A Meta-Analysis of the Central Propositions. Wiesbaden: Gabler / GWV Fachverlage GmbH, Wiesbaden, 2008.

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Koch, Charlotte. A human-resource-based theory of the small firm: Charlotte Koch, Jan de Kok. Zoetermeer: EIM, 1999.

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Jo, Sei-youn. A study of strategic alliance structuring in the perspectives of transaction cost economics and resource-based theory. [s.l.]: typescript, 1998.

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Westgren, Randall E. Public policy implications of the resource-based theory of firm strategy: A discussion paper for bureau of competition policy. Guelph: George Morris Centre, 1995.

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Crothers, Laura. Theory and cases in school-based consultation: A resource for school psychologists, school counselors, special educators, and other mental health professionals. London: Routledge, 2008.

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Crothers, Laura M. Theory and cases in school-based consultation: A resource for school psychologists, school counselors, special educators, and other mental health professionals. New York: Routledge, 2008.

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Bogner, William C. Paradigm shift: Parallels in the origin, evolution and function of the strategic group concept with the resource-based theory of the firm. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1993.

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1943-, O'Neil Harold F., and Perez Ray S, eds. Web-based learning: Theory, research, and practice. Mahwah, NJ: Lawrence Erlbaum Associates, 2006.

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Book chapters on the topic "Resource Based Theory"

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Taher, Mahdieh. "Resource-Based View Theory." In Information Systems Theory, 151–63. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6108-2_8.

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Castelo, Branco Manuel. "Resource-Based Theory and CSR." In Encyclopedia of Corporate Social Responsibility, 2018–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28036-8_701.

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Baranwal, Gaurav, Dinesh Kumar, Zahid Raza, and Deo Prakash Vidyarthi. "Auction Theory." In Auction Based Resource Provisioning in Cloud Computing, 17–31. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8737-0_2.

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Alvarez, Sharon A., and Lowell W. Busenitz. "The Entrepreneurship of Resource-based Theory*." In Entrepreneurship, 207–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-48543-8_10.

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Cashian, Paul. "Resource-Based Theory of the Firm." In Economics, Strategy and the Firm, 144–71. London: Macmillan Education UK, 2007. http://dx.doi.org/10.1007/978-1-137-26648-4_7.

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Alvarez, Sharon A., and Lowell W. Busenitz. "The Entrepreneurship of Resource-based Theory." In Entrepreneurship, 207–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/3-540-48543-0_10.

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Nguyen, Ta Duy, and Yair Zick. "Resource Based Cooperative Games: Optimization, Fairness and Stability." In Algorithmic Game Theory, 239–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99660-8_21.

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Zhang, Huaqing, Sami Khairy, Lin X. Cai, and Zhu Han. "Game Theory Based Spectrum Sharing." In Resource Allocation in Unlicensed Long Term Evolution HetNets, 35–51. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68312-6_3.

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Kull, Alexander J., and Jeannette A. Mena. "Advancing Stakeholder Marketing Through Resource-Based Theory." In Let’s Get Engaged! Crossing the Threshold of Marketing’s Engagement Era, 619. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-11815-4_187.

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Barney, Jay B. "The Evolutionary Roots of Resource-based Theory." In The SMS Blackwell Handbook of Organizational Capabilities, 269–71. Oxford, UK: Blackwell Publishing Ltd, 2017. http://dx.doi.org/10.1002/9781405164054.ch17.

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Conference papers on the topic "Resource Based Theory"

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Andayani, Ni Luh Henny, Trianasari Trianasari, and I. Gede Putra Nugraha. "Sustainable Agritourism Based on Resource Based Theory." In 6th International Conference on Tourism, Economics, Accounting, Management, and Social Science (TEAMS 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/aebmr.k.211124.065.

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Wesp, Patrick. "A Culturally Informed, Resource-Based Theory." In 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). IEEE, 2018. http://dx.doi.org/10.1109/ice.2018.8436258.

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Muravleva, Olga. "Resource Saving Prospects Based on Accuracy Theory." In EUROCON 2007 - The International Conference on "Computer as a Tool". IEEE, 2007. http://dx.doi.org/10.1109/eurcon.2007.4400413.

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Gao, Yiran, Chris Phillips, and Liwen He. "A GA Based Real-Time Resource Scheduling Algorithm." In Communication Technologies: from Theory to Applications (ICTTA). IEEE, 2008. http://dx.doi.org/10.1109/ictta.2008.4530199.

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El Ferkouss, Omar, and Wessam Ajib. "Game theory based resource allocation for cognitive radio networks." In GLOBECOM 2012 - 2012 IEEE Global Communications Conference. IEEE, 2012. http://dx.doi.org/10.1109/glocom.2012.6503272.

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Chung, Byung Chang, and Dong-Ho Cho. "Resource Partitioning in Heterogeneous Networks Based on Bargaining Theory." In 2015 IEEE 81st Vehicular Technology Conference (VTC Spring). IEEE, 2015. http://dx.doi.org/10.1109/vtcspring.2015.7146057.

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Yue, Zhao, and Qian Xu. "Resource allocation and scheduling theory based on distributed environment." In 2014 16th International Conference on Advanced Communication Technology (ICACT). Global IT Research Institute (GIRI), 2014. http://dx.doi.org/10.1109/icact.2014.6779134.

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Lasaulce, Samson, Alberto Suárez, Raul de Lacerda, and Merouane Debbah. "Cross-System Resource Allocation Based on Random Matrix Theory." In 2nd International ICST Conference on Performance Evaluation Methodologies and Tools. ICST, 2007. http://dx.doi.org/10.4108/valuetools.2007.2018.

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Li, Zhen, and Chunxiao Jiang. "Distributed Satellite Resource Allocation Mechanism Based on Contract Theory." In ICC 2022 - IEEE International Conference on Communications. IEEE, 2022. http://dx.doi.org/10.1109/icc45855.2022.9838689.

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Chubb, Christopher T., Kamil Korzekwa, and Marco Tomamichel. "Moderate deviation analysis of majorisation-based resource interconversion." In 2019 IEEE International Symposium on Information Theory (ISIT). IEEE, 2019. http://dx.doi.org/10.1109/isit.2019.8849220.

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Reports on the topic "Resource Based Theory"

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Hughes, Karl, Ana Maria Paez-Valencia, Aston Mulwaf, and Tsilizani Mseu. A theory-based evaluation of the Agroforestry Food Security Programme, Phase II in Malawi (AFSPII): Lessons for Scaling Up Complex Agronomic and Natural Resource Management Practices Developed and Tested in Research Settings. World Agroforestry Centre, 2019. http://dx.doi.org/10.5716/wp19036.pdf.

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Hudgens, Bian, Jene Michaud, Megan Ross, Pamela Scheffler, Anne Brasher, Megan Donahue, Alan Friedlander, et al. Natural resource condition assessment: Puʻuhonua o Hōnaunau National Historical Park. National Park Service, September 2022. http://dx.doi.org/10.36967/2293943.

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Natural Resource Condition Assessments (NRCAs) evaluate current conditions of natural resources and resource indicators in national park units (parks). NRCAs are meant to complement—not replace—traditional issue- and threat-based resource assessments. NRCAs employ a multi-disciplinary, hierarchical framework within which reference conditions for natural resource indicators are developed for comparison against current conditions. NRCAs do not set management targets for study indicators, and reference conditions are not necessarily ideal or target conditions. The goal of a NRCA is to deliver science-based information that will assist park managers in their efforts to describe and quantify a park’s desired resource conditions and management targets, and inform management practices related to natural resource stewardship. The resources and indicators emphasized in a given NRCA depend on the park’s resource setting, status of resource stewardship planning and science in identifying high-priority indicators, and availability of data and expertise to assess current conditions for a variety of potential study resources and indicators. Puʻuhonua o Hōnaunau National Historical Park (hereafter Puʻuhonua o Hōnaunau NHP) encompasses 1.7 km2 (0.7 mi2) at the base of the Mauna Loa Volcano on the Kona coast of the island of Hawaiʻi. The Kona coast of Hawaiʻi Island is characterized by calm winds that increase in the late morning to evening hours, especially in the summer when there is also a high frequency of late afternoon or early evening showers. The climate is mild, with mean high temperature of 26.2° C (79.2° F) and a mean low temperature of 16.6° C (61.9° F) and receiving on average 66 cm (26 in) of rainfall per year. The Kona coast is the only region in Hawaiʻi where more precipitation falls in the summer than in the winter. There is limited surface water runoff or stream development at Puʻuhonua o Hōnaunau NHP due to the relatively recent lava flows (less than 1,500 years old) overlaying much of the park. Kiʻilae Stream is the only watercourse within the park. Kiʻilae Stream is ephemeral, with occasional flows and a poorly characterized channel within the park. A stream gauge was located uphill from the park, but no measurements have been taken since 1982. Floods in Kiʻilae Stream do occur, resulting in transport of fluvial sediment to the ocean, but there are no data documenting this phenomenon. There are a small number of naturally occurring anchialine pools occupying cracks and small depressions in the lava flows, including the Royal Fishponds; an anchialine pool modified for the purpose of holding fish. Although the park’s legal boundaries end at the high tide mark, the sense of place, story, and visitor experience would be completely different without the marine waters adjacent to the park. Six resource elements were chosen for evaluation: air and night sky, water-related processes, terrestrial vegetation, vertebrates, anchialine pools, and marine resources. Resource conditions were determined through reviewing existing literature, meta-analysis, and where appropriate, analysis of unpublished short- and long-term datasets. However, in a number of cases, data were unavailable or insufficient to either establish a quantitative reference condition or conduct a formal statistical comparison of the status of a resource within the park to a quantitative reference condition. In those cases, data gaps are noted, and comparisons were made based on qualitative descriptions. Overall, the condition of natural resources within Puʻuhonua o Hōnaunau NHP reflects the surrounding landscape. The coastal lands immediately surrounding Puʻuhonua o Hōnaunau NHP are zoned for conservation, while adjacent lands away from the coast are agricultural. The condition of most natural resources at Puʻuhonua o Hōnaunau NHP reflect the overall condition of ecological communities on the west Hawai‘i coast. Although little of the park’s vegetation...
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Makarov, Yuri V., Shuai Lu, Jian Ma, and Tony B. Nguyen. Assessing the Value of Regulation Resources Based on Their Time Response Characteristics. Office of Scientific and Technical Information (OSTI), June 2008. http://dx.doi.org/10.2172/946001.

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Martin, Ciaran. Five tests for risk-based approaches to national cybersecurity in resource-constrained environments. Digital Pathways at Oxford, April 2022. http://dx.doi.org/10.35489/bsg-dp-wp_2022/05.

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While we cannot currently accurately specify what good cybersecurity looks like, we can analyse what good risk-based approaches to national cybersecurity should aim at achieving. This is particularly important in low- and middle-income countries operating in resource-constrained environments in the early stages of economic development and digitalisation. This paper, therefore, discusses key considerations for risk-based cybersecurity by investigating the trade-offs that decision-makers should address so that scarce resources are best deployed to fend off threats that are more likely to happen and cause significant harm. The analysis is presented in the form of five tests that can be used to analyse the robustness of risk-based cybersecurity when resources are limited and to think about the potential paths that nations can take as they grapple with various economic and digitalisation challenges. As such, this framework does not present an exhaustive list of all the fundamental components of a cybersecurity strategy, but rather analyses the most important trade-offs and challenges that a cybersecurity strategy should address.
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Cinar, Ridvan. Structuration of natural resource-based innovations in universities: How do they get institutionalized? Center for Higher Education Policy Studies, 2021. http://dx.doi.org/10.3990/4.2535-5686.2021.04.

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Hossain, Niamat Ullah Ibne, Raed Jaradat, Seyedmohsen Hosseini, Mohammad Marufuzzaman, and Randy Buchanan. A framework for modeling and assessing system resilience using a Bayesian network : a case study of an interdependent electrical infrastructure systems. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40299.

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This research utilizes Bayesian network to address a range of possible risks to the electrical power system and its interdependent networks (EIN) and offers possible options to mitigate the consequences of a disruption. The interdependent electrical infrastructure system in Washington, D.C. is used as a case study to quantify the resilience using the Bayesian network. Quantification of resilience is further analyzed based on different types of analysis such as forward propagation, backward propagation, sensitivity analysis, and information theory. The general insight drawn from these analyses indicate that reliability, backup power source, and resource restoration are the prime factors contributed towards enhancing the resilience of an interdependent electrical infrastructure system.
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Alt, Jonathan, Willie Brown, George Gallarno, and John Richards. Risk-based prioritization of operational condition assessments : stakeholder analysis and literature review. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/40162.

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The US Army Corps of Engineers (USACE) operates, maintains, and manages more than $232 billion worth of the Nation’s water resource infrastructure. Using the Operational Condition Assessment (OCA) system, the USACE allocates limited resources to assess conditions and maintain assets in efforts to minimize risks associated with asset performance degradation. Currently, OCAs are conducted on each component within a facility every 5 years, regardless of the component’s risk contribution. The analysis of risks associated with Flood Risk Management (FRM) facilities, such as dams, includes considering how the facility contributes to its associated FRM watershed system, understanding the consequences of degradation in the facility’s performance, and calculating the likelihood that the facility will perform as expected given the current OCA condition ratings of critical components. This research will develop a scalable methodology to model the probability of failure of components and systems that contribute to the performance of facilities in their respective FRM systems combined with consequences derived from hydrological models of the watershed to develop facility risk scores. This interim report documents the results of the first phase of this effort, stakeholder analysis and literature review, to identify candidate approaches to determine the probability of failure of a facility.
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Alt, Jonathan, Willie Brown, George Gallarno, John Richards, Jennifer Olszewski, and Titus Rice. Risk-based prioritization of operational condition assessments : methodology and case study results. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/46123.

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USACE operates, maintains, and manages more than $232 billion of the Nation’s water resource infrastructure. USACE uses the Operational Condition Assessment (OCA) to allocate limited resources to assess condition of this infrastructure in efforts to minimize risks associated with performance degradation. The analysis of risk associated with flood risk management (FRM) assets includes consideration of how each asset contributes to its associated FRM watershed system, understanding the consequences of the asset’s performance degradation, and a determination of the likelihood that the asset will perform as expected given the current OCA condition ratings of critical components. This research demonstrates a proof-of-concept application of a scalable methodology to model the probability of a dam performing as expected given the state of its gates and their components. The team combines this likelihood of degradation with consequences generated by the application of designed simulation experiments with hydrological models to develop a risk measure. The resulting risk scores serve as an input for a mixed-integer optimization program that outputs the optimal set of components to conduct OCAs on to minimize risk in the watershed. This report documents the results of the application of this methodology to two case studies.
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Alt, Jonathan, Willie Brown, George Gallarno, John Richards, and Titus Rice. Risk-based prioritization of operational condition assessments : Jennings Randolph case study. Engineer Research and Development Center (U.S.), April 2022. http://dx.doi.org/10.21079/11681/43862.

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The US Army Corps of Engineers (USACE) operates, maintains, and manages over $232 billion worth of the Nation’s water resource infrastructure. Using Operational Condition Assessments (OCA), the USACE allocates limited resources to assess asset condition in efforts to minimize risks associated with asset performance degradation, but decision makers require a greater understanding of those risks. The analysis of risk associated with Flood Risk Management assets in the context of its associated watershed system includes understanding the consequences of the asset’s failure and a determination of the likelihood that the asset will perform as expected given the current OCA ratings of critical components. This research demonstrates an application of a scalable methodology to model the probability of a dam performing as expected given the state of its subordinate gates and their components. The research team combines this likelihood with consequences generated by the application of designed simulation experiments with hydrological models to develop a measure of risk. The resulting risk scores serve as an input for an optimization program that outputs the optimal set of components to conduct OCAs on to minimize risk in the watershed. Proof-of-concept results for an initial case study on the Jennings Randolph Dam are provided.
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Henderson, Tim, Vincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Mojave Desert Inventory & Monitoring Network. National Park Service, December 2021. http://dx.doi.org/10.36967/nrr-2289952.

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A fundamental responsibility of the National Park Service (NPS) is to ensure that park resources are preserved, protected, and managed in consideration of the resources themselves and for the benefit and enjoyment by the public. Through the inventory, monitoring, and study of park resources, we gain a greater understanding of the scope, significance, distribution, and management issues associated with these resources and their use. This baseline of natural resource information is available to inform park managers, scientists, stakeholders, and the public about the conditions of these resources and the factors or activities that may threaten or influence their stability and preservation. There are several different categories of geologic or stratigraphic units (supergroup, group, formation, member, bed) that represent a hierarchical system of classification. The mapping of stratigraphic units involves the evaluation of lithologies, bedding properties, thickness, geographic distribution, and other factors. Mappable geologic units may be described and named through a rigorously defined process that is standardized and codified by the professional geologic community (North American Commission on Stratigraphic Nomenclature 2005). In most instances when a new geologic unit such as a formation is described and named in the scientific literature, a specific and well-exposed section or exposure area of the unit is designated as the type section or other category of stratotype (see “Definitions” below). The type section is an important reference exposure for a named geologic unit which presents a relatively complete and representative example for this unit. Geologic stratotypes are important both historically and scientifically, and should be available for other researchers to evaluate in the future.. The inventory of all geologic stratotypes throughout the 423 units of the NPS is an important effort in documenting these locations in order that NPS staff recognize and protect these areas for future studies. The focus adopted for completing the baseline inventories throughout the NPS was centered on the 32 inventory and monitoring networks (I&M) established during the late 1990s. The I&M networks are clusters of parks within a defined geographic area based on the ecoregions of North America (Fenneman 1946; Bailey 1976; Omernik 1987). These networks share similar physical resources (e.g., geology, hydrology, climate), biological resources (e.g., flora, fauna), and ecological characteristics. Specialists familiar with the resources and ecological parameters of the network, and associated parks, work with park staff to support network-level activities such as inventory, monitoring, research, and data management. Adopting a network-based approach to inventories worked well when the NPS undertook paleontological resource inventories for the 32 I&M networks. The planning team from the NPS Geologic Resources Division who proposed and designed this inventory selected the Greater Yellowstone Inventory & Monitoring Network (GRYN) as the pilot network for initiating this project. Through the research undertaken to identify the geologic stratotypes within the parks of the GRYN methodologies for data mining and reporting on these resources were established. Methodologies and reporting adopted for the GRYN have been used in the development of this report for the Mojave Desert Inventory & Monitoring Network (MOJN). The goal of this project is to consolidate information pertaining to geologic type sections that occur within NPS-administered areas, in order that this information is available throughout the NPS to inform park managers and to promote the preservation and protection of these important geologic landmarks and geologic heritage resources. The review of stratotype occurrences for the MOJN shows there are currently no designated stratotypes for Joshua Tree National Park (JOTR) or Manzanar National Historic Site (MANZ); Death Valley...
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