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Journal articles on the topic 'Cooperative diversity'

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Published: 4 June 2021

Last updated: 20 February 2023

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1

Sasongko, Adrian Tri, Yeti Lis Purnamadewi, and Sri Mulatsih. "ANALISIS KEUNGGULAN KOMPARATIF DAN FAKTOR YANG MEMPENGARUHI KINERJA KOPERASI DI PULAU JAWA." JURNAL EKONOMI DAN KEBIJAKAN PEMBANGUNAN 6, no. 2 (July 31, 2018): 90–106. http://dx.doi.org/10.29244/jekp.6.2.2017.90-106.

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Development of cooperatives is an important element that must be done in order to realize the national economic development because the cooperative able to accommodate the community in achieving the goal of improving the welfare of the people based on the principle of mutual cooperation. Differences in regional characteristics lead to diversity in the development and development of cooperatives. Java Island with rapid economic growth, able to build cooperatives in large numbers but the performance of cooperatives and growth is still fluctuating. Therefore, this study aims to determine the comparative advantage in cooperative development and analyze the factors that affect the performance of cooperatives in Java. This research uses secondary data with Method of Econometrika Data Panel and Method of Economic Performance Index of Regional Cooperation (PEKR Index). The results showed that the provinces of Central Java and Yogyakarta have a comparative advantage in the economic development of cooperatives in 2011-2015. Factors affecting the performance of the cooperative is the number of active cooperatives, the number of cooperative employees, own capital cooperatives and PDRB. Keywords: Comparative advantage, Cooperative, Performance, Panel data

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2

Sasongko, Adrian Tri, Yeti Lis Purnamadewi, and Sri Mulatsih. "ANALISIS KEUNGGULAN KOMPARATIF DAN FAKTOR YANG MEMPENGARUHI KINERJA KOPERASI DI PULAU JAWA." JURNAL EKONOMI DAN KEBIJAKAN PEMBANGUNAN 6, no. 2 (July 31, 2018): 90–106. http://dx.doi.org/10.29244/jekp.6.2.90-106.

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Development of cooperatives is an important element that must be done in order to realize the national economic development because the cooperative able to accommodate the community in achieving the goal of improving the welfare of the people based on the principle of mutual cooperation. Differences in regional characteristics lead to diversity in the development and development of cooperatives. Java Island with rapid economic growth, able to build cooperatives in large numbers but the performance of cooperatives and growth is still fluctuating. Therefore, this study aims to determine the comparative advantage in cooperative development and analyze the factors that affect the performance of cooperatives in Java. This research uses secondary data with Method of Econometrika Data Panel and Method of Economic Performance Index of Regional Cooperation (PEKR Index). The results showed that the provinces of Central Java and Yogyakarta have a comparative advantage in the economic development of cooperatives in 2011-2015. Factors affecting the performance of the cooperative is the number of active cooperatives, the number of cooperative employees, own capital cooperatives and PDRB. Keywords: Comparative advantage, Cooperative, Performance, Panel data

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3

Shuangqing Wei, D. L. Goeckel, and M. C. Valenti. "Asynchronous cooperative diversity." IEEE Transactions on Wireless Communications 5, no. 6 (June 2006): 1547–57. http://dx.doi.org/10.1109/twc.2006.1638675.

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4

Ju, MinChul, Il-Min Kim, and Dong In Kim. "Opportunistic Source/Destination Cooperation in Cooperative Diversity Networks." IEEE Transactions on Wireless Communications 9, no. 12 (December 2010): 3822–37. http://dx.doi.org/10.1109/twc.2010.100110.100307.

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5

Sun, Xiao Jin, and Zhi Wen Hu. "Research on Wireless Communication Technology Based on Cooperative Diversity." Applied Mechanics and Materials 416-417 (September 2013): 1561–64. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.1561.

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Cooperative diversity technique refers to that in the context of multi-users, several single antenna terminals create a virtual multi-antenna system to realize the dispatch and diversity of the periodic line by means of share each others antenna. The remarkable strong point of the cooperative diversity technique is that it can reduce the transmission power of the system, improve its handing capacity and effectively decrease its error rate. This paper is going to analyze the application of the cooperative diversity technique on the wireless communication technology and present the main problems of the cooperative diversify technique by introducing the related conceptions of the cooperative diversity technique.

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6

Shea, John M., Tan F. Wong, and Wing-Hin Wong. "Cooperative-diversity slotted ALOHA." Wireless Networks 13, no. 3 (July 3, 2006): 361–69. http://dx.doi.org/10.1007/s11276-006-7531-0.

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7

Ji, Wei, and Bao-yu Zheng. "Enhanced cooperative packet retransmission employing joint cooperative diversity and symbol mapping diversity." Journal of Zhejiang University-SCIENCE A 9, no. 8 (August 2008): 1090–98. http://dx.doi.org/10.1631/jzus.a0720076.

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8

Calle, Félix, Ángela González-Moreno, Inmaculada Carrasco, and Manuel Vargas-Vargas. "Social Economy, Environmental Proactivity, Eco-Innovation and Performance in the Spanish Wine Sector." Sustainability 12, no. 15 (July 22, 2020): 5908. http://dx.doi.org/10.3390/su12155908.

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Concerned about climate change, cooperatives in the wine sector are beginning to adapt their strategies, guided by cooperative principles that encompass high social responsibility and the pursuit of community values. In this context and focused on the analysis of the decisions that drive firms to be more environmentally sustainable, our goal is twofold. On the one hand, we wish to examine whether there exist differences between cooperative and non-cooperative firms as regards their environmental proactivity. On the other hand, we hope to demonstrate the diversity of behaviors within the category of cooperative firms, identifying the possible patterns of environmental proactivity in Spanish cooperatives in the wine sector. We first conducted a difference of means t-test for independent samples (n = 251; sampled in 2017)—cooperatives (51) vs. non cooperative firms (200)- and then a two-stage cluster analysis and a subsequent variance analysis, using SPSS 24. Our results show no significant differences between cooperative and non-cooperative firms concerning their environmental behavior and underlines the diversity within the cooperatives in the wine sector as regards their environmental proactivity, revealing the existence of proactive, preventive and activist patterns of behavior. These patterns also show differences in the motivations for their environmental behaviors and their assessment of financial performance.

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9

Mahmood, A. "Cooperative Diversity in Wireless Networks." Journal of Engineering Science and Technology Review 3, no. 1 (June 2010): 184–87. http://dx.doi.org/10.25103/jestr.031.30.

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10

Host-Madsen, A. "Capacity bounds for Cooperative diversity." IEEE Transactions on Information Theory 52, no. 4 (April 2006): 1522–44. http://dx.doi.org/10.1109/tit.2006.871576.

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11

Jardine, A. J., J. S. Thompson, S. McLaughlin, and P. M. Grant. "Dual antenna cooperative diversity techniques." IEE Proceedings - Communications 153, no. 4 (2006): 556. http://dx.doi.org/10.1049/ip-com:20050362.

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12

Al-Moliki, Yahya Mohammed Hameed, Kamarul Ariffin Bin Noordin, MHD Nour Hindia, and Mohd Fadzli Bin Mohd Salleh. "Concatenated RS-Convolutional Codes for Cooperative Wireless Communication." Open Electrical & Electronic Engineering Journal 7, no. 1 (February 22, 2013): 9–20. http://dx.doi.org/10.2174/1874129001307010009.

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In the last few years, several works have investigated the performance of cooperative wireless systems with various types of channel codes such as Low Density Parity Check (LDPC), Turbo, CRC, convolutional and recently Reed Solomon (RS) codes. These cooperative schemes give power to single antenna mobiles to originate virtual multiple antennas transmitter, MIMO system, by sharing their antennas so that diversity gain is achieved. The most common cooperative schemes are decode and forward (DF) and coded cooperation (CC). Concatenated Reed Solomon and convolutional codes have been used by several wireless communication standards like digital video broadcasting (DVB) standards and IEEE 802.16e WiMAX standard. In this paper, we develop two different coded cooperation schemes and apply them to the mandatory structure of physical layer specifications of IEEE 802.16e WiMAX. The results attained for both coded cooperation schemes present magnificent diversity gains over non-cooperative scheme.

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13

Lv, Tiejun, Zhang Zhang, and Shaoshi Yang. "A Low Complexity Approach of Combining Cooperative Diversity and Multiuser Diversity in Multiuser Cooperative Networks." IEEE Transactions on Signal Processing 61, no. 24 (December 2013): 6247–56. http://dx.doi.org/10.1109/tsp.2013.2284484.

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14

Ahmed, Sheeraz, Nadeem Javaid, Ashfaq Ahmad, Imran Ahmed, Mehr Yahya Durrani, Armughan Ali, Syed Bilal Haider, and Manzoor Ilahi. "SPARCO: Stochastic Performance Analysis with Reliability and Cooperation for Underwater Wireless Sensor Networks." Journal of Sensors 2016 (2016): 1–17. http://dx.doi.org/10.1155/2016/7604163.

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Reliability is a key factor for application-oriented Underwater Sensor Networks (UWSNs) which are utilized for gaining certain objectives and a demand always exists for efficient data routing mechanisms. Cooperative routing is a promising technique which utilizes the broadcast feature of wireless medium and forwards data with cooperation using sensor nodes as relays. Here, we present a cooperation-based routing protocol for underwater networks to enhance their performance called Stochastic Performance Analysis with Reliability and Cooperation (SPARCO). Cooperative communication is explored in order to design an energy-efficient routing scheme for UWSNs. Each node of the network is assumed to be consisting of a single omnidirectional antenna and multiple nodes cooperatively forward their transmissions taking advantage of spatial diversity to reduce energy consumption. Both multihop and single-hop schemes are exploited which contribute to lowering of path-losses present in the channels connecting nodes and forwarding of data. Simulations demonstrate that SPARCO protocol functions better regarding end-to-end delay, network lifetime, and energy consumption comparative to noncooperative routing protocol—improved Adaptive Mobility of Courier nodes in Threshold-optimized Depth-based routing (iAMCTD). The performance is also compared with three cooperation-based routing protocols for UWSN: Cognitive Cooperation (Cog-Coop), Cooperative Depth-Based Routing (CoDBR), and Cooperative Partner Node Selection Criteria for Cooperative Routing (Coop Re and dth).

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15

He, Xin, and Frank Y. Li. "Metric-Based Cooperative Routing in Multihop Ad Hoc Networks." Journal of Computer Networks and Communications 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/893867.

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Cooperative communication fully leverages the broadcast nature of wireless channels and exploits time/spatial diversity in a distributed manner, thereby achieving significant improvements in system capacity and transmission reliability. Cooperative diversity has been well studied from the physical layer perspective. Thereafter, cooperative MAC design has also drawn much attention recently. However, very little work has addressed cooperation at the routing layer. In this paper, we propose a simple yet efficient scheme for cooperative routing by using cooperative metrics including packet delivery ratio, throughput, and energy consumption efficiency. To make a routing decision based on our scheme, a node needs to first determine whether cooperation on each link is necessary or not, and if necessary, select the optimal cooperative scheme as well as the optimal relay. To do so, we calculate and compare cooperative routing metric values for each potential relay for each different cooperative MAC scheme (C-ARQ and CoopMAC in this study), and further choose the best value and compare it with the noncooperative link metric. Using the final optimal metric value instead of the traditional metric value at the routing layer, new optimal paths are set up in multihop ad hoc networks, by taking into account the cooperative benefits from the MAC layer. The network performance of the cooperative routing solution is demonstrated using a simple network topology.

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16

Burkart, Judith M., Carel van Schaik, and Michael Griesser. "Looking for unity in diversity: human cooperative childcare in comparative perspective." Proceedings of the Royal Society B: Biological Sciences 284, no. 1869 (December 13, 2017): 20171184. http://dx.doi.org/10.1098/rspb.2017.1184.

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Humans engage in cooperative childcare, which includes some elements not found in other animals, such as the presence of post-reproductive helpers, extensive food sharing among adults and a pervasive sexual division of labour. In animals, cooperative offspring care has typically been studied in two different contexts. The first mainly involves helpers contributing care in cooperatively breeding family groups; the second context is allomaternal care in species usually not categorized as cooperative breeders (e.g. plural and communal breeders, often without male care). Comparative analyses suggest that cooperative breeding and allomaternal care in plural and communal breeders have distinct evolutionary origins, with humans fitting neither pathway entirely. Nevertheless, some critical proximate mechanisms of helping, including hormonal regulators, are likely to be shared across species. Other mechanisms may vary among species, such as social tolerance, proactive prosociality or conditional mother–infant bonding. These are presumably associated with specific details of the care system, such as whether all group members contribute, or whether mothers can potentially raise offspring alone. Thus, cooperative offspring care is seen in different contexts across animal lineages, but may nonetheless share several important psychological characteristics. We end by discussing how work on humans may play a unifying role in studying cooperative offspring care.

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17

Krikidis, I., Zhanwei Sun, J. N. Laneman, and J. Thompson. "Cognitive legacy networks via cooperative diversity." IEEE Communications Letters 13, no. 2 (February 2009): 106–8. http://dx.doi.org/10.1109/lcomm.2009.081483.

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18

Yilmaz, A. O. "Cooperative diversity in carrier frequency offset." IEEE Communications Letters 11, no. 4 (April 2007): 307–9. http://dx.doi.org/10.1109/lcom.2007.348283.

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19

Asnar, Anang Z., Mario E. Magaña, and Tobias Felhauer. "Wireless Network Coding with Cooperative Diversity." Wireless Personal Communications 59, no. 4 (March 4, 2010): 765–88. http://dx.doi.org/10.1007/s11277-010-9935-5.

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20

Xiong, Xiong, Jian-hua Ge, Jing Li, and Yun-shuai Tang. "Cooperative diversity based on rotation code." Journal of Central South University of Technology 16, no. 2 (April 2009): 280–84. http://dx.doi.org/10.1007/s11771-009-0048-9.

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21

S S, Sreeja Mole, Sandhya S, and Ganapathy Ram B. "Cooperative Diversity Technique in Mobile Communication." International Journal of Electronics and Communication Engineering 2, no. 5 (February 25, 2015): 57–61. http://dx.doi.org/10.14445/23488549/ijece-v2i5p115.

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22

Tourki, Kamel, and Mohamed-Slim Alouini. "Outage analysis of blind cooperative diversity." Wireless Communications and Mobile Computing 13, no. 10 (June 6, 2011): 908–15. http://dx.doi.org/10.1002/wcm.1151.

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23

Wei, Shuangqing. "Diversity–Multiplexing Tradeoff of Asynchronous Cooperative Diversity in Wireless Networks." IEEE Transactions on Information Theory 53, no. 11 (November 2007): 4150–72. http://dx.doi.org/10.1109/tit.2007.907439.

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24

Hegyi, Barnabás, and János Levendovszky. "Enhancing the Performance of Medical Implant Communication Systems through Cooperative Diversity." International Journal of Telemedicine and Applications 2010 (2010): 1–10. http://dx.doi.org/10.1155/2010/920704.

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Battery-operated medical implants—such as pacemakers or cardioverter-defibrillators—have already been widely used in practical telemedicine and telecare applications. However, no solution has yet been found to mitigate the effect of the fading that the in-body to off-body communication channel is subject to. In this paper, we reveal and assess the potential of cooperative diversity to combat fading—hence to improve system performance—in medical implant communication systems. In the particular cooperative communication scenario we consider, multiple cooperating receiver units are installed across the room accommodating the patient with a medical implant inside his/her body. Our investigations have shown that the application of cooperative diversity is a promising approach to enhance the performance of medical implant communication systems in various aspects such as implant lifetime and communication link reliability.

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25

Soares, Marta C., Redouan Bshary, Leonida Fusani, Wolfgang Goymann, Michaela Hau, Katharina Hirschenhauser, and Rui F. Oliveira. "Hormonal mechanisms of cooperative behaviour." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1553 (September 12, 2010): 2737–50. http://dx.doi.org/10.1098/rstb.2010.0151.

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Research on the diversity, evolution and stability of cooperative behaviour has generated a considerable body of work. As concepts simplify the real world, theoretical solutions are typically also simple. Real behaviour, in contrast, is often much more diverse. Such diversity, which is increasingly acknowledged to help in stabilizing cooperative outcomes, warrants detailed research about the proximate mechanisms underlying decision-making. Our aim here is to focus on the potential role of neuroendocrine mechanisms on the regulation of the expression of cooperative behaviour in vertebrates. We first provide a brief introduction into the neuroendocrine basis of social behaviour. We then evaluate how hormones may influence known cognitive modules that are involved in decision-making processes that may lead to cooperative behaviour. Based on this evaluation, we will discuss specific examples of how hormones may contribute to the variability of cooperative behaviour at three different levels: (i) within an individual; (ii) between individuals and (iii) between species. We hope that these ideas spur increased research on the behavioural endocrinology of cooperation.

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26

Zhu, Kai Yan, Hong Yu Wang, and Da Xing Qian. "Performance Analysis of Space-Time and Amplify-and-Forward Cooperative System." Advanced Materials Research 485 (February 2012): 578–83. http://dx.doi.org/10.4028/www.scientific.net/amr.485.578.

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In this paper, we consider a space-time and amplify-and-forward(ST-AF) cooperative system which consists of two-antenna source, single-antenna relay and destination. Source transmits Alamouti space-time coding symbols to destination with cooperation of relay which adopts AF strategy. Closed-form symbol error rate(SER) is derived for the ST-AF system with PSK signals. Moreover, an SER approximation are developed to show the asymptotic performance of the ST-AF cooperative system in medium and high SNR regimes. For comparison, the SER approximation of another cooperative space-time coding(C-STC) scheme is also derived. Theoretical analysis shows that the ST-AF can obtain more diversity gain and achieve higher diversity order than C-STC. Finally, computer simulations validate the theoretical analysis.

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27

Fudenberg, Drew, David G. Rand, and Anna Dreber. "Slow to Anger and Fast to Forgive: Cooperation in an Uncertain World." American Economic Review 102, no. 2 (April 1, 2012): 720–49. http://dx.doi.org/10.1257/aer.102.2.720.

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We study the experimental play of the repeated prisoner's dilemma when intended actions are implemented with noise. In treatments where cooperation is an equilibrium, subjects cooperate substantially more than in treatments without cooperative equilibria. In all settings there was considerable strategic diversity, indicating that subjects had not fully learned the distribution of play. Furthermore, cooperative strategies yielded higher payoffs than uncooperative strategies in the treatments with cooperative equilibria. In these treatments successful strategies were “lenient” in not retaliating for the first defection, and many were “forgiving” in trying to return to cooperation after inflicting a punishment. (JEL C72, C73, D81)

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28

Ban, Tea-Won, and Bang-Chul Jung. "Cooperative Diversity in a Spectrum Sharing Environment." Journal of information and communication convergence engineering 9, no. 5 (October 31, 2011): 515–22. http://dx.doi.org/10.6109/jicce.2011.9.5.515.

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29

Moualeu, J. M. Mouateho, H. Xu, and F. Takawira. "Cooperative Diversity Using Repeat-Punctured Turbo Codes." SAIEE Africa Research Journal 100, no. 2 (June 2009): 34–39. http://dx.doi.org/10.23919/saiee.2009.8531493.

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30

Hoang, Quang-Trung. "Distributed Spatial Modulation based Cooperative Diversity Scheme." International Journal of Wireless & Mobile Networks 10, no. 2 (April 30, 2018): 31–37. http://dx.doi.org/10.5121/ijwmn.2018.10203.

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31

Stiller, Christoph. "COOPERATIVE COGNITIVE AUTOMOBILES AND DIVERSITY IN COGNITION." IFAC Proceedings Volumes 39, no. 16 (2006): 980–85. http://dx.doi.org/10.3182/20060912-3-de-2911.00168.

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32

Tie, Xiao-lei, Pei-lin Hong, Kai-ping Xue, and Hao Tang. "A Handover Mechanism Based on Cooperative Diversity." Journal of Electronics & Information Technology 33, no. 5 (May 11, 2011): 1178–85. http://dx.doi.org/10.3724/sp.j.1146.2010.00818.

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33

Lei Xiao, T. Fuja, J. Kliewer, and Daniel J. Costello. "A network coding approach to cooperative diversity." IEEE Transactions on Information Theory 53, no. 10 (October 2007): 3714–22. http://dx.doi.org/10.1109/tit.2007.904990.

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34

Goor, Mark B., and John O. Schwenn. "Accommodating Diversity and Disability with Cooperative Learning." Intervention in School and Clinic 29, no. 1 (September 1993): 6–16. http://dx.doi.org/10.1177/105345129302900103.

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35

Larsson, E. G., and B. R. Vojcic. "Cooperative transmit diversity based on superposition modulation." IEEE Communications Letters 9, no. 9 (September 2005): 778–80. http://dx.doi.org/10.1109/lcomm.2005.1506700.

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36

Gokturk, M., Ozgur Ercetin, and Ozgur Gurbuz. "Throughput Analysis of ALOHA with Cooperative Diversity." IEEE Communications Letters 12, no. 6 (June 2008): 468–70. http://dx.doi.org/10.1109/lcomm.2008.080174.

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37

Bastami, Ali H., and Ali Olfat. "Optimal incremental relaying in cooperative diversity systems." IET Communications 7, no. 2 (January 22, 2013): 152–68. http://dx.doi.org/10.1049/iet-com.2012.0178.

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38

Adinoyi, Abdulkareem, Yijia Fan, Halim Yanikomeroglu, H. Poor, and Furaih Al-Shaalan. "Performance of selection relaying and cooperative diversity." IEEE Transactions on Wireless Communications 8, no. 12 (December 2009): 5790–95. http://dx.doi.org/10.1109/twc.2009.12.090138.

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39

Taleb, Tarik, and Khaled Letaief. "A cooperative diversity based handoff management scheme." IEEE Transactions on Wireless Communications 9, no. 4 (April 2010): 1462–71. http://dx.doi.org/10.1109/twc.2010.04.090548.

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40

Vakil, S., and Ben Liang. "Cooperative Diversity in Interference Limited Wireless Networks." IEEE Transactions on Wireless Communications 7, no. 8 (August 2008): 3185–95. http://dx.doi.org/10.1109/twc.2008.030327.

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41

Elia, Petros, Somsak Kittipiyakul, and Tara Javidi. "Cooperative diversity schemes for asynchronous wireless networks." Wireless Personal Communications 43, no. 1 (July 27, 2007): 3–12. http://dx.doi.org/10.1007/s11277-006-9242-3.

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42

Stankovic, V., A. Host-Madsen, and Zixiang Xiong. "Cooperative diversity for wireless ad hoc networks." IEEE Signal Processing Magazine 23, no. 5 (September 2006): 37–49. http://dx.doi.org/10.1109/msp.2006.1708411.

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43

., Unnikrishnan M. "MAC PROTOCOLS FOR COOPERATIVE DIVERSITY IN WLAN." International Journal of Research in Engineering and Technology 03, no. 27 (December 25, 2014): 31–37. http://dx.doi.org/10.15623/ijret.2014.0327006.

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44

Chen, Mingzhu. "Analysis of the Application of Cooperative Learning Method in English Teaching." Frontiers in Sustainable Development 2, no. 11 (November 21, 2022): 13–17. http://dx.doi.org/10.54691/fsd.v2i11.2932.

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Cooperative learning is a form of teaching activity that takes group as the basic form and uses classroom interaction to promote students' learning so as to achieve common teaching objectives. This paper will look at the advantages and disadvantages of the cooperative learning method. In general, cooperative learning is a method worth studying, which has a lot of inspiration for current foreign language teaching. For example, cooperative learning can provide a variety of activities and increase the frequency and diversity of language learning. Cooperative learning can help improve the ability of cooperation and communication among students. Cooperative learning can reduce students' learning anxiety and make them devote themselves to study better. Cooperative learning can give students more opportunities to communicate in class and promote student center.

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45

Zhang, Guopeng, Kun Yang, Peng Liu, and Enjie Ding. "Achieving User Cooperation Diversity in TDMA-Based Wireless Networks Using Cooperative Game Theory." IEEE Communications Letters 15, no. 2 (February 2011): 154–56. http://dx.doi.org/10.1109/lcomm.2011.122010.100629.

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46

LEE, SUN-HEE, HYUN-JU KANG, and SANG-YOUN LEE. "The Influence of Board Diversity and Board Conflict on Performance in Consumer Cooperatives in South Korea." Journal of Entrepreneurial and Organizational Diversity 11, no. 1 (October 2022): 55–81. http://dx.doi.org/10.5947/jeod.2022.003.

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Board of directors are important elements in the structure and management of cooperatives. This study examines the relationships between cooperative board diversity (i.e., value and functional) and three performance variables (social performance, operational performance, and democratic performance). Additionally, we hypothesize that conflict (task or relational) mediates these relationships. We argue that decision making, policy, and performance depend on the composition of a board. The empirical analysis, using a sample of 423 female board members in 66 local consumer cooperatives in South Korea, finds that board value diversity can have a negative effect on performance, even though their functional background diversity may be positive, while conflicts over performing tasks may mediate functional background diversity and performance. More specifically, the results indicate that board value diversity is positive and significantly related to relational conflicts, while functional background diversity is negative and significantly related to task conflicts. The findings suggest that performance of cooperatives can be improved with more diverse board with functional backgrounds. We hope that this paper could offer a significant contribution to both the board and corporate governance literature and the diversity literature.

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47

Perera, P., and A. D. S. Jayalath. "Finite‐SNR diversity‐multiplexing trade‐off of inter‐vehicular cooperative diversity protocols." Electronics Letters 50, no. 16 (July 2014): 1169–71. http://dx.doi.org/10.1049/el.2014.1830.

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48

Ali, Jati Kasuma, Yusman Yacob, Cynthia Gundu Bullok, and Rashinah Hossen. "Determinants of Women Involvement in Sarawak Cooperative Movement." Global Journal of Business and Social Science Review (GJBSSR) Vol. 3(2) 2015 3, no. 2 (April 11, 2015): 104–11. http://dx.doi.org/10.35609/gjbssr.2015.3.2(14).

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Objective - The purpose of this study is to examine the determinants of women involvement in Sarawak cooperative business whether interest, life impulse, having necessary skills and environmental influence has any relationship with their involvement. Methodology/Technique - Self-administered questionnaires were distributed amongst the women who are the members of the cooperatives in Sarawak. 200 questionnaires were distributed, however, 136 were usable questionnaires. Findings - The result shows that interest, life impulse, having necessary skills and environmental influence has a significant positive correlation with women involvement in Sarawak cooperative business. Novelty - This paper introduces a clear contextual perspective on the factors of women's participation in the cooperative movement in Sarawak that has multicultural diversity. It helps to explain the motivations that contribute to their involvement based on the empirical findings. Type of Paper - Empirical Keywords: Cooperatives; Life Impulse; Environmental Influence; Women Entrepreneur.

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Bąbka, Jarosław, and Regina Korzeniowska. "Unity in diversity in terms of inclusive education and cooperative learning." Men Disability Society 48, no. 2 (April 30, 2020): 47–58. http://dx.doi.org/10.5604/01.3001.0014.1671.

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Abstract:

Inclusive education is an expression of the educational system transformation and the transfer from focusing on adapting a pupil with special needs to school onto adapting teaching conditions to the pupul’s special needs. In this context, inclusive education is shown as a specific kind of intervening into the process of an individual’s socialisation having a double character of changes: in people, and in culture, which supports people’s development and building the inclusive society, in which people can experience unity in diversity. Cooperative learning is an educational strategy, which makes it possible to create a pro-inclusive social context and to develop pupills’ cognitive and social competencies necessary to function in a heterogenic community. The deliberations can be completed with the analysis of the selected factors conditioning cooperative learning in relation to pupils with disabilities and their non-disabled schoolmates. They are: (1) experience related to cooperation; (2) personal characteristics of pupils and (3) pupils’ preferences related to exercising task roles.

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Li, Guoyou, Yajian Zhou, Jingxian Zhou, Kangfeng Zheng, and Yixian Yang. "Finite-SNR Diversity-Multiplexing Tradeoff for Cooperative Transmissions with Opportunistic Network Coding." Mathematical Problems in Engineering 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/437927.

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Abstract:

We present a multiuser cooperative transmission scheme with opportunistic network coding (CTONC), which can improve system performance. In contrast to direct transmission and conventional cooperative transmission, the CTONC allows the relay node to decide whether or not to help do cooperation and employ network coding based on the limited feedback from the destinations. It will not help a transmission pair unless its direct transmission fails. This enables CTONC to make efficient use of the degrees of freedom of the channels. We derive and analyze the diversity-multiplexing tradeoff for the CTONC over Rayleigh fading channels at finite signal-to-noise ratios (SNRs). Theoretical analysis and numerical results show that the proposed scheme achieves better performance gain in terms of average mutual information, outage probability, and finite-SNR diversity-multiplexing tradeoff.

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