With the increasingly significant uncertainty of the international market environment, the traditional learning path of multinational enterprises is blocked, and they begin to pay attention to the non-market behavior of customer participation. However, there is still not sufficient theoretical explanation for how to learn and transform in the process of overseas customer participation. Based on this, this study starts from the perspective of learning transformation, selects four Chinese enterprises for multi-case analysis, and explores the learning transformation mechanism of Chinese enterprises under the context of uncertain engagement. The results show that: Firstly, enterprises’ perception of the dynamic degree of environmental uncertainty (the degree of abrupt change and gradual change) comes from their own “resource constraints” and “information constraints” respectively. When the perception of sudden change degree is high, the perception source of enterprise environmental uncertainty mainly focuses on “information constraints”, which is reflected in the obstruction of information acquisition, resulting in the fuzziness of environmental prediction. When the perception of gradual change degree is high, the perception source of enterprise environmental uncertainty mainly focuses on “resource constraints”, which is subject to the impact of limited strategic capabilities and key resources, increasing the difficulty of timely response to environmental changes. Secondly, the perception of environmental uncertainty affects the choice of overseas customer participation strategies of Chinese multinational enterprises, including dynamic participation and expected participation. The participation of overseas customers with high dynamics and low expectations can increase non-productive activities, maintain good customer relations, and reduce information asymmetry through timely communication. The participation of overseas customers with low dynamics and high expectations is helpful to understand the market regularly, so as to alleviate resource constraints and respond to market changes in time. Thirdly, in the process of overseas customer participation, enterprises can learn from different dimensions (cognitive dimension and behavioral dimension) to form a quick response mechanism to deal with environmental uncertainty. The external learning transformation of cognitive dimension mainly aims at the uncertainty perception of enterprises caused by information constraints, focusing on the acquisition and absorption of external information, so as to reduce the problem of information asymmetry in the context of environmental uncertainty. The internal learning transformation of behavioral dimension mainly aims at the uncertainty perception of enterprises caused by their own resource constraints, focusing on the internal behavior change of the organization, so as to enhance the complementarity of resources. The cross-level learning transformation of cognitive dimension and behavior dimension needs multiple circular learning to expand the internal ability of the organization in the process of external information acquisition. The research results expand the application of customer participation theory in the field of organizational learning in the context of environmental uncertainty, and can provide useful experience and theoretical guidance for Chinese multinational enterprises to deal with the pressure of uncertainty and formulate scientific non-market strategies.
/ Journals / Foreign Economics & Management
Foreign Economics & Management
LiZengquan, Editor-in-Chief
ZhengChunrong, Vice Executive Editor-in-Chief
YinHuifang HeXiaogang LiuJianguo, Vice Editor-in-Chief
Breaking the Learning Boundary: Learning Mechanism of Overseas Customer Participation in Crisis
Foreign Economics & Management Vol. 44, Issue 01, pp. 3 - 15 (2022) DOI:10.16538/j.cnki.fem.20210228.103
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References
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[1] Chen Chunhua, Yin Jun, Mei Liang, Han Xia. How do firm strategic leaders cope with environmental uncertainty? Text analyses on REN Zhengfei’ smedia interviews[J].Chinese Journal of Management, 2020,17(8):1107-1116.
[2] Chen Guoquan, Wu Fan. The basic principle and systematic process of cross-dimension learning transformation[J].Chinese Journal of Management, 2019(8):1133-1141.
[3] Chen Guoquan, Wu Fan. Systematic theory of learning transfer: The construction and implication of the theory of PPEE [J].Chinese Journal of Management Science, 2018,26(9):183-196.
[4] Chen Guoquan,Zhou Qiwei. Modeling quantitative-style learning and qualitative-style learning: A theoretical study[J].Journal of Management Science in China, 2018, 21(10):37-51.
[5] Zhao Chen, Chen Guoquan, GaoZhonghua. The effect of team leader learning on organizational learning: A view basedon contextual ambidexterity[J]. Journal of Management Science In China, 2014(10):38-49.
[6] Li Shuwen, LuoJinlian, Liang Fu. The contingency influence of internal, external learning on organizational innovation [J].Studies in science of science, 2019, 37(11):2092-2101.
[7] Liu Changchang, Jia Liangding,Yang Yiyi. Not only “When in Rome, Do as the Romans Do”: expatriate managers’ cross-cultural “Triple-Loop Learning”[J]. Foreign Economics & Management, 2020(3):74-91.
[8] Pan Peipei, Wu Jiabao, He Yongzheng. Research on modeling individual, team, organizational cross-level learning mechanisms based on collaborative mechanism[J]. Chinese Journal of Mananement Science, 2015, 23(S1):316-321.
[9] RenGe, Chen Weihong, Zhong Xi. TMT International experience, environmental uncertainty and process of enterprise internationalization[J].Foreign Economics & Management,2019(9):109-121
[10] Sun Yongbo, Ding Yixin,Wang Yong. Research on the Effect of Value Co-creation Interactive Behavior on Brand Equity[J].Foreign Economics & Management,2018,40(4):125-139+152.
[11] Wang Yongwei. Causes and effects of organizational routine updating in the context of environmental uncertainty[J].Science Research Management,2019, 40(10):268-277.
[12] XuHui, Shanyu. Break the resource constraints curse: The emerging-market multinational enterprises opportunity identification and resource ingeniousness-configuration strategy choice[J].Management World,2019,35(03):127-141+168+207.
[13] Xiao Meng, Ma Qinhai, Li Man.How does customer resource impact on customer value in Co-creation—The multiple mediating effect of interaction[J].Journal of Marketing Science,2017(03): 76-97.
[14] Yao Shanji. Driving Impact of Intellectual Capital on Customer Participation: From the Perspective of Transformation[J].Management Science,2016, 29(2):53-67.
[15] Zou Bo, Guo Jinyu, Liang Yuanyuan. Research on knowledge sharing context in semiformal organization[J]. Chinese Journal of Management, 2015, 12(7):1082.
[16] Akaka M A, Schau H J. Value creation in consumption journeys: Recursive reflexivity and practice continuity[J]. Journal of the Academy of Marketing Science,2019, 47(3): 499-515.
[17] Amorim M, Rosa M J, Santos S. Managing customer participation and customer interactions in service delivery: The case of museums and educational services[J]. Organizacija,2014, 47(3): 166-175.
[18] Atakan S S, Bagozzi R P, Yoon C. Consumer participation in the design and realization stages of production: How self-production shapes consumer evaluations and relationships to products[J]. International Journal of Research in Marketing,2014, 31(4): 395-408.
[19] Chang W, Taylor S A. The effectiveness of customer participation in new product development: A meta-analysis[J]. Journal of Marketing,2016, 80(1): 47-64.
[20] Cui A S, Wu F. Utilizing customer knowledge in innovation: Antecedents and impact of customer involvement on new product performance[J]. Journal of the Academy of Marketing Science,2016, 44(4): 516-538.
[21] Eisenbeiss M, Cornelißen M, Backhaus K, et al. Nonlinear and asymmetric returns on customer satisfaction: do they vary across situations and consumers?[J]. Journal of the Academy of Marketing Science,2014, 42(3): 242-263.
[22] Eisenhardt K M, Graebner M E. Theory building from cases: Opportunities and challenges[J]. Academy of Management Journal,2007, 50(1): 25-32.
[23] Feng T W, Sun L Y, Zhang Y. The effects of customer and supplier involvement on competitive advantage: An empirical study in China[J]. Industrial Marketing Management,2010, 39(8): 1384-1394.
[24] Hibbert S, Winklhofer H, Temerak M S. Customers as resource integrators: Toward a model of customer learning[J]. Journal of Service Research,2012, 15(3): 247-261.
[25] Klaus P, Maklan S. Towards a better measure of customer experience[J]. International Journal of Market Research,2013, 55(2): 227-246.
[26] Lobato J. Alternative perspectives on the transfer of learning: History, issues, and challenges for future research[J]. Journal of the Learning Sciences,2006, 15(4): 431-449.
[27] Prior D D. Boundary spanning and customer service styles in business solutions implementation[J]. Industrial Marketing Management,2016, 56: 120-129.
[28] Rui H C, Cuervo-Cazurra A, Un C A. Learning-by-doing in emerging market multinationals: Integration, trial and error, repetition, and extension[J]. Journal of World Business,2016, 51(5): 686-699.
[29] Varadarajan R. Customer information resources advantage, marketing strategy and business performance: A market resources based view[J]. Industrial Marketing Management,2020, 89: 89-97.
Cite this article
Xu Hui, Wang Yajun, Shan Yu. Breaking the Learning Boundary: Learning Mechanism of Overseas Customer Participation in Crisis[J]. Foreign Economics & Management, 2022, 44(1): 3-15.
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