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Zeitschriftenartikel zum Thema „Knowledge accumulation“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 20. Februar 2023

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1

Chirico, Francesco. „Knowledge Accumulation in Family Firms“. International Small Business Journal: Researching Entrepreneurship 26, Nr. 4 (August 2008): 433–62. http://dx.doi.org/10.1177/0266242608091173.

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2

Van Long, Ngo, Antoine Soubeyran und Raphael Soubeyran. „KNOWLEDGE ACCUMULATION WITHIN AN ORGANIZATION“. International Economic Review 55, Nr. 4 (28.10.2014): 1089–128. http://dx.doi.org/10.1111/iere.12084.

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3

Padoan, Pier Carlo. „Trade, knowledge accumulation and diffusion“. Structural Change and Economic Dynamics 9, Nr. 3 (September 1998): 349–72. http://dx.doi.org/10.1016/s0954-349x(98)00038-1.

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4

Abbott, Andrew. „Reconceptualizing knowledge accumulation in sociology“. American Sociologist 37, Nr. 2 (Juni 2006): 57–66. http://dx.doi.org/10.1007/s12108-006-1005-9.

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5

Cooray, Noreen. „Knowledge accumulation and technological advance“. Research Policy 14, Nr. 2 (April 1985): 83–95. http://dx.doi.org/10.1016/0048-7333(85)90016-2.

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6

Reining, Stefan, Frederik Ahlemann, Benjamin Mueller und Rahul Thakurta. „Knowledge Accumulation in Design Science Research“. ACM SIGMIS Database: the DATABASE for Advances in Information Systems 53, Nr. 1 (24.01.2022): 10–24. http://dx.doi.org/10.1145/3514097.3514100.

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Design science research (DSR) is increasingly prominent in the information systems discipline. However, despite a lively discourse, and methodical and conceptual advances notwithstanding, DSR contributions are rarely cumulative and mostly remain isolated. This lack of cumulative research impedes scientific progress and practical impact. Our goal in this paper is to help establish a cumulative tradition in DSR by proposing (1) a general, consensus-oriented, evolutionary process model of scientific progress based on a synthesis of different streams in the philosophy of science, (2) quality criteria for DSR contributions corresponding to the individual steps in the process model, (3) actions that the IS community as a whole can take to facilitate adherence to these quality criteria. We expect that our work can pave the way towards developing a more cumulative research tradition in DSR and thereby foster genuine scientific progress in the field.

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7

Sugiyama, Shigeki, und Junji Suzuki. „Accumulation and Integration in Seamless Knowledge“. International Journal of Asian Business and Information Management 3, Nr. 2 (April 2012): 1–9. http://dx.doi.org/10.4018/jabim.2012040101.

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Society is in the era of globalization. Communication methods include transfers among commodities, facilities, information, systems, thought, knowledge, etc., causing many interactions among society. As a result of these situations, an individual’s world can be altered, causing multi dipoles. Currently, an individual is able to get as much information as he or she desires. But on the other hand, individuals are also losing information, goods, foods, etc., without recognizing how much is lost. The authors believe under these situations almost everything in the world may be interfering with one another in a multitude of ways. This phenomenon will aggressively continue. This paper studies the problems caused by these situations and proposes a method to resolve some of the problems caused by these situations: Accumulation and Integration in Seamless Knowledge.

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8

Schweickert, Richard. „Time and the Accumulation of Knowledge“. Contemporary Psychology: A Journal of Reviews 33, Nr. 6 (Juni 1988): 524–25. http://dx.doi.org/10.1037/025794.

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9

Kuo, Chia-I., Chia-hung Wu und Bou-Wen Lin. „Gaining from Scientific Knowledge: The Role of Knowledge Accumulation and Knowledge Combination“. Academy of Management Proceedings 2017, Nr. 1 (August 2017): 15029. http://dx.doi.org/10.5465/ambpp.2017.15029abstract.

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10

Kuo, Chia-I., Chia-Hung Wu und Bou-Wen Lin. „Gaining from scientific knowledge: the role of knowledge accumulation and knowledge combination“. R&D Management 49, Nr. 2 (25.04.2018): 252–63. http://dx.doi.org/10.1111/radm.12322.

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11

Hamdouch, Abdelillah, und Frank Moulaert. „KNOWLEDGE INFRASTRUCTURE, INNOVATION DYNAMICS, AND KNOWLEDGE CREATION/DIFFUSION/ACCUMULATION PROCESSES“. Innovation: The European Journal of Social Science Research 19, Nr. 1 (März 2006): 25–50. http://dx.doi.org/10.1080/13511610600607676.

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12

Truong, Công Nghê, und Binh Tran-Nam. „Endogenous Growth and Publicly Funded Knowledge Accumulation“. Review of Development Economics 11, Nr. 2 (Mai 2007): 421–35. http://dx.doi.org/10.1111/j.1467-9361.2007.00416.x.

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13

Petro, Jane A. „Honesty, History, and the Accumulation of Knowledge“. American Journal of Cosmetic Surgery 24, Nr. 2 (Juni 2007): 49–50. http://dx.doi.org/10.1177/074880680702400201.

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14

Guzmán-Arenas, Adolfo, und Alma-Delia Cuevas. „Knowledge accumulation through automatic merging of ontologies“. Expert Systems with Applications 37, Nr. 3 (15.03.2010): 1991–2005. http://dx.doi.org/10.1016/j.eswa.2009.06.078.

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15

Caniels, M. C. J. „Firm-level knowledge accumulation and regional dynamics“. Industrial and Corporate Change 12, Nr. 6 (01.12.2003): 1253–78. http://dx.doi.org/10.1093/icc/12.6.1253.

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16

Zhang, W.-B. „An Urban Pattern Dynamics with Capital and Knowledge Accumulation“. Environment and Planning A: Economy and Space 25, Nr. 3 (März 1993): 357–70. http://dx.doi.org/10.1068/a250357.

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In this paper a dynamic model of urban pattern formation with endogenous knowledge and capital accumulation is proposed. The Alonso model is extended to include two of the most important dynamic forces for urban development—capital accumulatin and technological progress. The standard assumption of the existence of the central business district (CBD) is still accepted in this approach. It is assumed that two production sectors (industry and service) and one knowledge production sector (research institutions and university) are located at the CBD. First, a compact framework for analysing dynamic interactions of the three sectors and urban pattern formation is suggested. Then, the existence of stationary urban patterns is guaranteed and the stability conditions provided. Last, the effects of changes in government's research policy and some other parameters upon the system are examined.

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17

Tushkanova, Olga, und Vladimir Samoylov. „Knowledge Net: Model and System for Accumulation, Representation, and Use of Knowledge“. IFAC-PapersOnLine 52, Nr. 13 (2019): 1150–55. http://dx.doi.org/10.1016/j.ifacol.2019.11.351.

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18

Ly, Pham Thi Minh, und Wen-Hsiang Lai. „Fuzzy AHP Analysis of Firm-Level Knowledge Accumulation“. Journal of Information & Knowledge Management 16, Nr. 03 (31.07.2017): 1750024. http://dx.doi.org/10.1142/s0219649217500241.

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Knowledge is considered to be a useful tool for a firm's competitiveness and sustainability. There is considerable evidence confirming that firm-level knowledge (FLK) accumulation provides a competitive advantage for firms, through innovation. Therefore, most knowledge-intensive firms accumulate FLK via exploitative practices to prevent deterioration of their innovation performance. This study adopts methods including expert interviews, an analytic hierarchy process (AHP) and fuzzy set theory to analyse the FLK accumulation in firms. This study proposes that three influential factors for FLK accumulation are knowledge integration (KI), knowledge absorption (KA) and knowledge sharing (KS). This study reveals that KI is the most influential factor of a firm's FLK accumulation, and the sub-factor of “Integration Ability” plays the most critical role of KI in FLK accumulation.

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19

Doraszelski, Ulrich. „An R&D Race with Knowledge Accumulation“. RAND Journal of Economics 34, Nr. 1 (2003): 20. http://dx.doi.org/10.2307/3087441.

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20

Smiraglia, Richard P. „Replication and Accumulation in Knowledge Organization—An Editorial“. KNOWLEDGE ORGANIZATION 44, Nr. 5 (2017): 315–17. http://dx.doi.org/10.5771/0943-7444-2017-5-315.

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21

Alcácer, Juan, Cristian L. Dezső und Minyuan Zhao. „Firm rivalry, knowledge accumulation, and MNE location choices“. Journal of International Business Studies 44, Nr. 5 (16.05.2013): 504–20. http://dx.doi.org/10.1057/jibs.2013.18.

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22

Ben-David, D. „Knowledge dissemination, capital accumulation, trade, and endogenous growth“. Oxford Economic Papers 52, Nr. 4 (01.10.2000): 637–50. http://dx.doi.org/10.1093/oep/52.4.637.

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23

Kóczy, LászlóT, Kaoru Hirota und Kazuhiro Ozawa. „Knowledge representation and accumulation by fuzzy flip-flops“. Fuzzy Sets and Systems 39, Nr. 1 (Januar 1991): 1–13. http://dx.doi.org/10.1016/0165-0114(91)90061-t.

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24

Zeeuw, Gerard. „Soft knowledge accumulation, or the rise of competence“. Systems Practice 5, Nr. 2 (April 1992): 193–214. http://dx.doi.org/10.1007/bf01059941.

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25

Singh, K. „Increasing Replication for Knowledge Accumulation in Strategy Research“. Journal of Management 29, Nr. 4 (August 2003): 533–49. http://dx.doi.org/10.1016/s0149-2063(03)00024-2.

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26

Singh, K., S. H. Ang und S. M. Leong. „Increasing Replication for Knowledge Accumulation in Strategy Research“. Journal of Management 29, Nr. 4 (01.08.2003): 533–49. http://dx.doi.org/10.1016/s0149-2063_03_00024-2.

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27

Ziesemer, Thomas, und Peter Michaelis. „Strategic environmental policy and the accumulation of knowledge“. Structural Change and Economic Dynamics 22, Nr. 2 (Juni 2011): 180–91. http://dx.doi.org/10.1016/j.strueco.2011.02.001.

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28

BISCHI, GIAN-ITALO, und FABIO LAMANTIA. „A COMPETITION GAME WITH KNOWLEDGE ACCUMULATION AND SPILLOVERS“. International Game Theory Review 06, Nr. 03 (September 2004): 323–41. http://dx.doi.org/10.1142/s0219198904000241.

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In this paper a repeated game is proposed to model competition among firms, with profit maximizing resource allocation. The proposed model differs from the usual competition models because efforts that players exert are not seen as sunk costs, but they accumulate to form a stock of knowledge that has a cost-reducing effect. In modelling knowledge accumulation, we also consider the (knowledge) spillovers, that is, involuntary leakage of useful technological information. The game with n boundedly rational agents is modelled by a 2n-dimensional discrete dynamical system, whose state variables are the R&D efforts and the stock of accumulated knowledge of each firm involved in the competition. The model is characterized by some counteracting forces: Efforts are costly but can increase future profits; immediate expenditures of each firm can have cost-reducing effects in the long run, since accumulated knowledge can decrease both own costs and competitors' ones, because of spillover effects. In the case of two homogeneous firms we prove the existence of a unique equilibrium and its stability. Starting from these analytic results, numerical simulations are performed in order to study the effects induced by heterogeneities between the players on stability and transient dynamics, as well as the influence of the main parameters on the basins of attraction.

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29

Meckl, Jürgen. „Accumulation of technological knowledge, wage differentials, and unemployment“. Journal of Macroeconomics 26, Nr. 1 (März 2004): 65–82. http://dx.doi.org/10.1016/j.jmacro.2002.09.003.

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30

Salehi, Nader. „How to properly apply new external knowledge“. Journal on Innovation and Sustainability RISUS 13, Nr. 2 (15.06.2022): 73–83. http://dx.doi.org/10.23925/2179-3565.2022v13i2p73-83.

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This article was an attempt to brief a new model of absorptive capacity and develop the concept of absorptive capacity which is a critical factor in applying, accumulating and linking new external knowledge to innovation. Through a comprehensive review of literature on absorptive capacity, authors ended up with the idea that the stream of new external knowledge in the waterfall model continually fosters all abilities of absorptive capacity. In addition, following knowledge spillover in each stage, abilities perform their activities. Knowledge accumulation is also another capability, which in this process, plays the role of linking absorptive capacity and innovation.

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31

Prendergast, R. „Accumulation of knowledge and accumulation of capital in early 'theories' of growth and development“. Cambridge Journal of Economics 34, Nr. 3 (31.03.2009): 413–31. http://dx.doi.org/10.1093/cje/bep009.

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32

Malmberg, Anders, Orjan Solvell und Ivo Zander. „Spatial Clustering, Local Accumulation of Knowledge and Firm Competitiveness“. Geografiska Annaler. Series B, Human Geography 78, Nr. 2 (1996): 85. http://dx.doi.org/10.2307/490807.

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33

Hsu, Yu-hsu. „Knowledge Accumulation and Transfer in Multinational Chinese Family Businesses“. Japanese Journal of Administrative Science 21, Nr. 3 (2008): 201–13. http://dx.doi.org/10.5651/jaas.21.201.

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34

Houle, Timothy T., und James C. Eisenach. „Importance of Effect Sizes for the Accumulation of Knowledge“. Anesthesiology 106, Nr. 3 (01.03.2007): 415–17. http://dx.doi.org/10.1097/00000542-200703000-00002.

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35

Malmberg, Anders, Örjan Sölvell und Ivo Zander. „Spatial Clustering, Local Accumulation of Knowledge and Firm Competitiveness“. Geografiska Annaler: Series B, Human Geography 78, Nr. 2 (August 1996): 85–97. http://dx.doi.org/10.1080/04353684.1996.11879699.

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36

Chang, Su‐Chao, und Ming‐Shing Lee. „The linkage between knowledge accumulation capability and organizational innovation“. Journal of Knowledge Management 12, Nr. 1 (22.02.2008): 3–20. http://dx.doi.org/10.1108/13673270810852359.

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37

DONG, ANDY. „Concept formation as knowledge accumulation: A computational linguistics study“. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 20, Nr. 1 (Februar 2006): 35–53. http://dx.doi.org/10.1017/s0890060406060033.

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Language plays at least two roles in design. First, language serves as representations of ideas and concepts through linguistic behaviors that represent the structure of thought during the design process. Second, language also performs actions and creates states of affairs. Based on these two perspectives on language use in design, we apply the computational linguistics tools of latent semantic analysis and lexical chain analysis to characterize how design teams engage in concept formation as the accumulation of knowledge represented by lexicalized concepts. The accumulation is described in a data structure comprised by a set of links between elemental lexicalized concepts. The folding together of these two perspectives on language use in design with the information processing theories of the mind afforded by the computational linguistics tools applied creates a new means to evaluate concept formation in design teams. The method suggests that analysis at a linguistic level can characterize concept formation even where process-oriented critiques were limited in their ability to uncover a formal design method that could explain the phenomenon.

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38

Ang, James B. „Financial Reforms, Patent Protection, and Knowledge Accumulation in India“. World Development 38, Nr. 8 (August 2010): 1070–81. http://dx.doi.org/10.1016/j.worlddev.2009.12.011.

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39

Kouropatov, Anatoli, und Tommy Dreyfus. „Learning the integral concept by constructing knowledge about accumulation“. ZDM 46, Nr. 4 (23.02.2014): 533–48. http://dx.doi.org/10.1007/s11858-014-0571-5.

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40

Grafton, R. Quentin, Tom Kompas und P. Dorian Owen. „Bridging the barriers: knowledge connections, productivity and capital accumulation“. Journal of Productivity Analysis 28, Nr. 3 (15.05.2007): 219–31. http://dx.doi.org/10.1007/s11123-007-0054-6.

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41

Lai, Wen‐Hsiang. „Interoperability of implicit and explicit firm‐level knowledge accumulation“. Journal of Strategy and Management 6, Nr. 3 (02.08.2013): 229–41. http://dx.doi.org/10.1108/jsma-08-2012-0042.

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42

Hutjes, Jan. „Policy research between the accumulation and implementation of knowledge“. Knowledge and Policy 4, Nr. 3 (September 1991): 10–26. http://dx.doi.org/10.1007/bf02693085.

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43

Koh, Heebyung, Sungdo Ha, Taesoo Kim und Soo-Hong Lee. „A method of accumulation and adaptation of design knowledge“. International Journal of Advanced Manufacturing Technology 26, Nr. 9-10 (12.01.2005): 943–49. http://dx.doi.org/10.1007/s00170-004-2078-7.

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44

Wang, Heli, Shan Zhao und Jinyu He. „Increase in takeover protection and firm knowledge accumulation strategy“. Strategic Management Journal 37, Nr. 12 (17.11.2015): 2393–412. http://dx.doi.org/10.1002/smj.2443.

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45

Liu, Lijun, und Zuhua Jiang. „How to Accumulate Empirical Engineering Knowledge in the Complex Problem-Solving Process for Novice Engineers“. International Journal of Knowledge Management 17, Nr. 1 (Januar 2021): 52–71. http://dx.doi.org/10.4018/ijkm.2021010104.

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Complex problem solving is recognized as an important resource of empirical knowledge accumulation. Learners can acquire and consolidate their empirical knowledge based on practical experience in the complex problem solving. Although many studies on complex problem solving have documented the effects of problem solving on knowledge accumulation, few have addressed the detailed process of empirical knowledge accumulation in the complex problem solving. The purpose of this study is to explore the process of novices' empirical knowledge accumulation in solving complex problem. A multi-stage experiment based on a real-world engineering problem is presented in the study. By means of analysis of the difference between novice and experts, a novel concept of “inflection point” and a novel “four period novices' empirical knowledge accumulation curve” are presented, which can be used to explain the novices' empirical knowledge accumulation process in solving complex problem.

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46

Guo, Biao, Zhong Bin Hou, Jun Hao Geng und Gang Feng Wang. „Collaborative Refinement Method for Process Innovation Knowledge Network“. Materials Science Forum 770 (Oktober 2013): 320–23. http://dx.doi.org/10.4028/www.scientific.net/msf.770.320.

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Accumulating a large number of process innovation knowledge (PIK) is the prerequisite and basis for process innovation.PIK can be gradually refined by using. Hence, how to ensure the correctness of the PIK collaborative refinement is the basic work of knowledge accumulation. This paperproposes a construction method of PIK network by the imitating of biological neural network, and arefinement methodof PIKby the imitating of neural stimulation conduction. Because the refining processes are iterative, the refinement of process innovation needsa specificeditingmechanism and control mechanism, which allow multi-userto engage in collaborative editing and protect the consistency of collaborative editing result. Using the refinement method of PIK,it is possible to convert the discrete, rough knowledge into a PIK network that can effectively solve the process problems.

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47

Barros Contreras, Ismael, Juan Hernangómez Barahona und Natalia Martín Cruz. „La acumulación de conocimiento en la empresa familiar: un análisis empírico“. Neumann Business Review 3, Nr. 2 (01.12.2017): 76–112. http://dx.doi.org/10.22451/3002.nbr2017.vol3.2.10012.

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48

Davidson, Apollon. „Accumulation of Knowledge about Africa in Russia — How It Started“. ISTORIYA 11, Nr. 8 (94) (2020): 0. http://dx.doi.org/10.18254/s207987840011024-5.

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49

Kwon, Oh-Sung. „Human History Model Based on Knowledge Accumulation and AI Technology“. Journal of The Korean Association of Information Education 25, Nr. 5 (31.10.2021): 665–72. http://dx.doi.org/10.14352/jkaie.2021.25.5.665.

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50

Lai, Wen-Hsiang. „Interoperability of Knowledge Accumulation and Engineering Manpower Outsourcing in Enterprises“. Journal of Information & Knowledge Management 12, Nr. 01 (März 2013): 1350002. http://dx.doi.org/10.1142/s0219649213500020.

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In recent years, the global economy has moved away from considering capital as the main axis of the economic system and has gradually come to consider knowledge accumulation (KA) and innovation as the main driving forces of economic growth and increased productivity. Because at the same time companies chose to embrace skilled engineering manpower outsourcing (EMO), the global economy now confronts the issues of how to maintain an accumulation of knowledge within the organisation and how to manage outsourcing and external knowledge to achieve balance and maximise values. This paper reports on a research and analysis study of Taiwan's optical industry using a mathematical model of translog cost function that accomplishes EMO and KA and applying this mathematical model to the optical companies in Taiwan. This paper finds that KA and EMO influence each other; when EMO increases, the KA in the company decreases in response, and vice versa.

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