• Title/Summary/Keyword: Complementarity

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For the Success of Smart Product Bundling: Complementarity Level and Advertising Strategy

  • LEE, Juyon
    • The Journal of Economics, Marketing and Management
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    • v.10 no.1
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    • pp.27-37
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    • 2022
  • Purpose: This study investigates how to successfully promote the smart product bundle by exploring (1) how consumers' adoption intention toward a smart product bundle differs by the complementarity level of the bundled items and (2) how the ad appeal type influences the effect of complementarity level on adoption intention via goal fluency. Research design, data and methodology: This study was a 2 (complementarity level: low vs. high) × 2 (ad appeal type: attribute vs. benefit) between-subjects experiment. The proposed hypotheses were verified using analysis of variance (ANOVA) and bootstrap analysis using PROCESS. Results: This research demonstrated that adoption intention toward smart products increases when the complementarity level of bundled smart items is high. Goal fluency underlies this relationship. Further, attribute versus benefit appeal type moderates the relationship between the complementarity level and goal fluency. Conclusions: Compared with the attribute appeal, benefit appeal leads to higher goal fluency when the complementarity level of the bundled items is low. However, there was no differential impact of appeal type on goal fluency when the complementarity level of bundled items is high. Finally, goal fluency mediated the interaction of complementarity level × ad appeal type on adoption intention.

Assessing the Competitiveness and Complementarity of the Agricultural Products Trade between Korea and CPTPP Countries

  • Meng-wen Chen;Suk-jae Park;Quan-zheng Zhu
    • Journal of Korea Trade
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    • v.27 no.3
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    • pp.147-160
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    • 2023
  • Purpose - This paper aims to investigate the competitiveness and complementarity of the agricultural products trade between Korea and Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) countries. The study evaluates the opportunities and challenges that Korea's agricultural sector faces after joining the CPTPP, and suggests strategies to deepen cooperation and expand Korea's agricultural products trade. Design/methodology - To achieve these objectives, we analyze the trade competition and cooperation relationship between Korea and CPTPP countries in the agricultural products trade. This study uses data from Chapters HS1-24 in UN Comtrade from 2012 to 2022, and applies the indices of revealed comparative advantage, export similarity, and trade complementarity to examine the trade dynamics. Furthermore, we use an Autoregressive Integrated Moving Average (ARIMA) model to predict the agricultural products trade complementarity index between Korea and CPTPP countries from 2022 to 2031. Findings - The findings of our analysis reveal that Korea's agricultural products trade competitiveness is weak compared to that of CPTPP countries, and Korea's agricultural products are at a competitive disadvantage. On the whole, the similarity index of agricultural products trade exports between Korea and CPTPP countries is low, the structure of agricultural products export is quite different, and trade competition is relatively moderate. The trade complementarity index between Korea and CPTPP countries is generally high, with strong complementarity and a large space for cooperation and development. The ARIMA model shows that in the next ten years, although the agricultural products trade complementarity index fluctuates, but is generally high, there will still be a complementarity advantage in the future. Originality/value - This study is the first attempt to investigate the competitiveness and complementarity of the agricultural products trade between Korea and CPTPP countries. We also introduce an ARIMA model to forecast and analyze the future agricultural products trade complementarity index. Our study provides new perspectives and solutions for the future development of Korea's agricultural products trade after joining the CPTPP.

Algorithmic Properties of Isotone Complementarity Problems

  • Ahn, Byong-Hun
    • Journal of the Korean Operations Research and Management Science Society
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    • v.12 no.1
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    • pp.10-18
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    • 1987
  • This paper discusses algorithmic properties of a class of complementarity programs involving strictly diagonally isotone and off-diagonally isotone functions, i. e., functions whose Jacobian matrices have positive diagonal elements and nonnegative off-diagonal elements, A typical traffic equilibrium under elastic demands is cast into this class. Algorithmic properties of these complementarity problems, when a Jacobi-type iteration is applied, are investigated. It is shown that with a properly chosen starting point the generated sequence are decomposed into two converging monotonic subsequences. This and related will be useful in developing solution procedures for this class of complementarity problems.

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MERIT FUNCTIONS FOR MATRIX CONE COMPLEMENTARITY PROBLEMS

  • Wang, Li;Liu, Yong-Jin;Jiang, Yong
    • Journal of applied mathematics & informatics
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    • v.31 no.5_6
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    • pp.795-812
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    • 2013
  • The merit function arises from the development of the solution methods for the complementarity problems defined over the cone of non negative real vectors and has been well extended to the complementarity problems defined over the symmetric cones. In this paper, we focus on the extension of the merit functions including the gap function, the regularized gap function, the implicit Lagrangian and others to the complementarity problems defined over the nonsymmetric matrix cone. These theoretical results of this paper suggest new solution methods based on unconstrained and/or simply constrained methods to solve the matrix cone complementarity problems (MCCP).

ON THE SUBDIFFERENTIAL OF A NONLINEAR COMPLEMENTARITY PROBLEM FUNCTION WITH NONSMOOTH DATA

  • Gao, Yan
    • Journal of applied mathematics & informatics
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    • v.27 no.1_2
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    • pp.335-341
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    • 2009
  • In this paper, a system of nonsmooth equations reformulated from a nonlinear complementarity problem with nonsmooth data is studied. The formulas of some subdifferentials for related functions in this system of nonsmooth equations are developed. The present work can be applied to Newton methods for solving this kind of nonlinear complementarity problem.

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A NEW CLASS OF RANDOM COMPLETELY GENERALIZED STRONGLY NONLINEAR QUASI-COMPLEMENTARITY PROBLEMS FOR RANDOM FUZZY MAPPINGS

  • Huang, Nam-Jing
    • Journal of applied mathematics & informatics
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    • v.5 no.2
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    • pp.357-372
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    • 1998
  • In this paper we introduce and study a new class of random completely generalized strongly nonlinear quasi -comple- mentarity problems with non-compact valued random fuzzy map-pings and construct some new iterative algorithms for this kind of random fuzzy quasi-complementarity problems. We also prove the existence of random solutions for this class of random fuzzy quasi-complementarity problems and the convergence of random iterative sequences generated by the algorithms.

RANDOM GENERALIZED SET-VALUED COMPLEMENTARITY PROBLEMS

  • Lee, Byung-Soo;Huang, Nan-Jing
    • Journal of the Korean Mathematical Society
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    • v.34 no.1
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    • pp.1-12
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    • 1997
  • Complementaity problem theory developed by Lemke [10], Cottle and Dantzig [8] and others in the early 1960s and thereafter, has numerous applications in diverse fields of mathematical and engineering sciences. And it is closely related to variational inquality theory and fixed point theory. Recently, fixed point methods for the solving of nonlinear complementarity problems were considered by Noor et al. [11, 12]. Also complementarity problems related to variational inequality problems were investigated by Chang [1], Cottle [7] and others.

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PRECONDITIONED SSOR METHODS FOR THE LINEAR COMPLEMENTARITY PROBLEM WITH M-MATRIX

  • Zhang, Dan
    • Communications of the Korean Mathematical Society
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    • v.34 no.2
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    • pp.657-670
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    • 2019
  • In this paper, we consider the preconditioned iterative methods for solving linear complementarity problem associated with an M-matrix. Based on the generalized Gunawardena's preconditioner, two preconditioned SSOR methods for solving the linear complementarity problem are proposed. The convergence of the proposed methods are analyzed, and the comparison results are derived. The comparison results showed that preconditioned SSOR methods accelerate the convergent rate of the original SSOR method. Numerical examples are used to illustrate the theoretical results.

Institutional Complementarity and Diversity of Innovation System (제도간 보완성과 기술혁신시스템의 다양성)

  • Seo, Hwan-Ju
    • Journal of Technology Innovation
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    • v.13 no.1
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    • pp.91-111
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    • 2005
  • This paper aims to make a brief survey of the main concepts and theoretical frameworks proposed by Comparative Institutional Analysis. The main concepts to be discussed are 'institutional complementarity', 'diversity', 'system' and 'institutional hierarchy'. This paper also analyzes the recent evolution of U.S national innovation system using these concepts.

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