Meteorological satellite stakeholder relationship network based on social network analysis

doi:10.23919/JSEE.2021.000078

Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (4): 907-926.doi: 10.23919/JSEE.2021.000078

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Meteorological satellite stakeholder relationship network based on social network analysis

Lu LI(), Yupeng LIU*(), Kongxin HE()

¹ School of Economics and Management, Harbin Institute of Technology, Weihai 264209, China

Received:2020-06-20 Online:2021-08-18 Published:2021-09-30
Contact: Yupeng LIU E-mail:13940918983@163.com;lucklyp@126.com;hkx20122213@sina.com
About author:|LI Lu was born in 1996. She received her B.S. degree in management from Nanchang University in 2019, Jiangxi, China. She is currently studying for her M.S. degree at the School of Economics and Management, Harbin Institute of Technology, Shandong, China. Her research interests include defense economics and evaluation theories and methods. E-mail: 13940918983@163.com||LIU Yupeng was born in 1981. He received his Ph.D. degree in management science and engineering from Harbin Institute of Technology in 2010. In 2014, he began to study as a postdoctoral fellow at Dalian University of Technology, Liao-ning, China. He is currently an associate professor at Harbin Institute of Technology. His research interests include defense economics and evaluation theories and methods. E-mail: lucklyp@126.com||HE Kongxin was born in 1993. He received his B.S. degree from Harbin Institute of Technology in 2016, Shandong, China. He obtained his M.S. degree in management from Harbin Institute of Technology in 2018. His research interests include defense economics and evaluation theories and methods. E-mail: hkx20122213@sina.com
Supported by:
This work was supported by the National Natural Science Foundation of China (71402040)

Abstract

Abstract:

The meteorological satellite service range is extensive, and science and technology and related industries have become beneficiaries of it. The complex meteorological satellite stakeholder relationship warrants quantitative evaluation. This study investigates the meteorological satellite stakeholder relationship network to provide a new research perspective for me-teorological satellites in the field of management. For literature analysis, 16 meteorological satellite stakeholders are identified through keyword screening, classified, and coded. A meteorological satellite stakeholder relationship network model is then constructed through social network analysis (SNA). Ego, local, and overall networks are analyzed from three perspectives to measure the network principle and to form a relationship network coordination degree evaluation system. The improved analytic hierarchy process (AHP)-fuzzy comprehensive evaluation method is then used to determine index weights and evaluate the relationship network coordination process design comprehensively. In empirical analysis, data for the meteorological satellite Fengyun-4 are obtained through questionnaire survey and literature analysis. Ucinet6 is used to generate relationship networks and analyze various stakeholder roles and status, stakeholder relationship network coordination degree, and eva-luation results. The results demonstrate that the competent me-teorological satellite department, the meteorological administration, the National Meteorological Centre, and the government are in the center of the Fengyun-4 stakeholder relationship network, with coordination degree in an “average” state. Thus, establishing a stakeholder coordination mechanism may strengthen connection and promote the development of meteorological undertakings.

Key words: meteorological satellite, stakeholder, relationship network, coordination degree

Lu LI, Yupeng LIU, Kongxin HE. Meteorological satellite stakeholder relationship network based on social network analysis[J]. Journal of Systems Engineering and Electronics, 2021, 32(4): 907-926.

References 43

1	GUO H, BAO A M, LIU T, et al Meteorological drought analysis in the lower Mekong Basin using satellite-based long-term CHIRPS product. Sustainability, 2017, 9 (6): 1- 21.
2	ARELLANO-LARA F, ESCALANTESANDOVAL C Estimation of storm potential by combining satellite images and meteorological data: a case study in northwestern Mexico. Technology and Water Sciences, 2014, 5 (5): 39- 61.
3	TAHIR W, AMINUDDIN A K, RAMLI S, et al Quantitative precipitation forecast using numerical weather prediction and meteorological satellite for Kelantan and Klang river basins. Journal Teknologi, 2017, 79 (1): 45- 53.
4	LU N M, ZHENG W, WANG X, et al Application of meteorological satellites and their products in weather and climate analysis and environmental disaster monitoring. Journal of Marine Meteorology, 2017, 37 (1): 20- 30.
5	ADAMS R M, HOUSTON L L, MCCARL B A, et al The benefits to Mexican agriculture of an El Nino-southern oscillation (ENSO) early warning. Agricultural & Forest Meteorology, 2003, 115 (3/4): 183- 194.
6	KYOUNG A J. A Study on economic assessment of image processing technologies for meteorological satellites. The Journal of Korea Society of Communication and Space Technology, 2012, 7(1): 13-20. (in Korean)
7	LIU Z M, YAN M, ZHANG W Z Research on service benefit evaluation of meteorological satellite remote sensing technology in Jilin province. Remote Sensing Technology and Application, 1998, 2, 22- 27.
8	LIU Y L Looking at the social and economic benefits of intellectual property rights from the perspective of the satellite navigation industry. China Aerospace, 2015, 9, 35- 39.
9	FREEMAN R E, REED D L Stockholders and stakeholders: a new perspective on corporate governance. California Management Review, 1983, 25 (3): 88- 106. doi: 10.2307/41165018
10	CLARKSON M B E. A risk-based model of stakeholder theory. Proc. of the Toronto Conference on Stakeholder Theory, 1994, 18−19.
11	BLAIR M. Ownership and control: rethinking governance for the twenty-first century. Washington D C: The Brooking Institution, 1995.
12	LEWIS C. Managing conflicts in protected areas. Gland, Switzerland and Cambridge, U·K: International Union for Conservation of Nature, 1995.
13	FREEMAN R E. Strategic management: a stakeholder approach. Boston: Pitman Publishing Inc, 1984.
14	CLARKSON M B E A stakeholder framework for analyzing and evaluating corporate social responsibility. The Academy of Management Review, 1995, 20 (1): 92- 118. doi: 10.5465/amr.1995.9503271994
15	CHEN H H, JIA S H An empirical analysis of three-dimensional classification of corporate stakeholders. Economic Research, 2004, 4, 80- 90.
16	BORGATTI S P, JONES C, EVERETT M G Network measures of social capital. Connections, 1998, 21 (2): 1- 36.
17	FU J L, SUN D Y, XIAO J, et al A review of terrorist organization network research based on social network analysis theory. Systems Engineering Theory and Practice, 2013, 33 (9): 2177- 2185.
18	JIAO Y Y, FU M H, SHEN Z F Dynamic analysis of stakeholder relation networks of PPP projects from the perspective of the whole life cycle. Project Management Technology, 2016, 14 (8): 32- 27.
19	XIN L, TAO Y, GUO L Understanding stakeholders’ influence on project success with a new SNA method: a case study of the green retrofit in China. Sustainability, 2017, 9 (10): 1- 19.
20	TIAN X Y, ZHANG M X, YE M H. Coordination mechanism of nonprofit organization incubator and stakeholders in China. Proc. of the International Conference on Engineering and Business Management, 2010: 4433−4436.
21	CHANG H J, ZHAMG T Q, LI G F Research on evaluation of project stakeholder coordination. Nankai Management Review, 2014, 17 (1): 85- 94.
22	MARTINS F M, TRIENEKENS J, OMTA O Governance structures and coordination mechanisms in the Brazilian pork chain—diversity of arrangements to support the supply of piglets. International Food and Agribusiness Management Review, 2017, 20 (4): 511- 531. doi: 10.22434/IFAMR2016.0064
23	NUTT P C, BACKOFF R W. Strategic management of public and third sector organizations: a handbook for leaders. Long Range Planning, 1993, 26(2): 486.
24	BRYSON J M Strategic planning for public and non-profit organizations. International Encyclopedia of the Social & Behavioral Sciences, 2015, 28 (3): 515- 521.
25	SHARPE M A, MURRAY S A Verification of space weather forecasts issued by the met office space weather operations centre. Space Weather, 2017, 15 (10): 1383- 1395. doi: 10.1002/2017SW001683
26	HUANG Q X, YANG X Application of defense meteorological satellite program operational line scanner (DMSP/OLS) nighttime light images: a meta-analysis and a systematic literature review. Remote Sensing, 2014, 6 (8): 6844- 6866. doi: 10.3390/rs6086844
27	ZHANG Z P, ZOU Y The legislative significance of the international association for the unification of private law “Protocol on Specific Issues of Space Assets”. Aerospace China, 2012, 2, 50- 53.
28	GREEN J C, LIKAR J, SHPEITS Y Impact of space weather on the satellite industry. Space Weather: The International Journal of Research and Application, 2017, 15 (6): 804- 818.
29	LU W, HE L, CHEN J X, et al The development of the infrared technology for meteorological satellites in Shanghai Institute of Technical Physics. Proc. of the Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Defense+Security Volume, 2017, 1017716.
30	LAKHIN O I Implementation of multi-agent system for scheduling of flight program, cargo flow and resources of international space station. Mechatronics, Automation, Control, 2016, 17 (1): 42- 46. doi: 10.17587/mau.17.42-46
31	DONG C H, YANG J, LU N M, et al The main performance and spplication of FY-3A Star (FY-3A). Journal of GEO-Information Science, 2010, 12 (4): 458- 465. doi: 10.3724/SP.J.1047.2010.00458
32	DU D, LI M, CHEN C Application of international maritime satellite system in disaster weather reporting. Radio and Television Technology, 2015, 42 (5): 42- 44.
33	CHENG X N Analysis of the research elements of effective dissemination of weather forecast programs. Modern Agricultural Science and Technology, 2017, 4, 220- 221.
34	ZHAO Q S, AN J J, YE J Y, et al Design and implementation of meteorological service platform based on WeChat public account. Journal of Anhui Agricultural Sciences, 2017, 45 (24): 224- 227.
35	CARR R H, MONTZ B, MAXFIELD K, et al Effectively communication risk and uncertainly to the public assessing the National Weather Service’s flood forecast and warning tools. Bulletin of the American Meteorological Society, 2016, 97 (9): 1649. doi: 10.1175/BAMS-D-14-00248.1
36	YUAN H L, SUN M, WANG Y Assessment of the benefits of the Chinese public weather service. Meteorological Applications, 2016, 23 (1): 132- 139. doi: 10.1002/met.1539
37	LIN R H, HE X L Analysis and countermeasures of the status quo of meteorological film and television services for “Three Agricultures”. Modern Agriculture, 2012, 8, 58- 59.
38	CHATTOPADHYAY N, GHOSH K Agrometeorological advisory to assist the farmers in meeting the challenges of extreme weather events. Mausam, 2016, 67 (1): 277- 288.
39	UMEHIRA M, KOBAYASHI K, YASUI Y, et al Recent Japanese R& D in satellite communications. IEICE Trans. on Communications, 2009, 92-B (11): 3300- 3308.
40	BAYISSA Y, TADESSE T, DEMISSE G, et al Evaluation of satellite-based rainfall estimates and application to monitor meteorological drought for the Upper Blue Nile Basin, Ethiopia. Remote Sensing, 2017, 9 (7): 1- 17.
41	WELLMAN B, BERKOWITZ S D. Social structures: a network approach. Cambridge: Cambridge University Press, 1988.
42	ZHAO Y, XU G Y, XU X Y, et al Research on a value network model for the benefit evaluation of space applications. Manned Spaceflight, 2018, 1, 127- 135.
43	PALETTO A, HAMUNEN K, MEO I D Social network analysis to support stakeholder analysis in participatory forest planning. Society & Natural Resources, 2015, 28 (10): 1108- 1125.

Meteorological satellite stakeholder relationship network based on social network analysis

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