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Whether digital transformation can help enterprises better integrate and optimize customer relationships is an important issue in both theoretical and practical circles.Based on the data of Chinese listed companies from 2007-2022,opply Python to crawl the analysis text of the annual reports of all listed companies in Shanghai and Shenzhen stock markets, and combine word frequency analysis technology to construct enterprise digital transformation indicator.By using the indicator, the impact and mechanism of digital transformation on enterprises' customer relationships are empirically examined.Further, the economic consequences of adjusting enterprise customer relationships are explored under the background of digital transformation.The main findings are as follows.First, digital transformation can significantly promote the decentralization of enterprise customer relationships.Moreover, after undergoing a series of robustness tests such as endogeneity treatment, replacing key variables, adjusting regression samples, and changing econometric models, the above conclusion still holds.Second, mechanism analysis shows that digital transformation can promote the decentralization of customer relationships by enhancing the enterprises' competitive position in the market and impoving its customers' satisfaction.The basic logic is that, on the one hand, digital transformation can enhance the enterprises' market competitiveness, which will help it enter a larger market, and acquire a larger customer base.On the other hand, digital transformation can alleviate information asymmetry between enterprises and their customers, which will ensure the enterprises quickly adjust their products or services to improve their customers' satisfaction and be helpful to attract target customers to actively seek cooperation with upstream enterprises.Third, heterogeneity analysis indicates that digital transformation has a greater impact on the diversification of customer relationships for enterprises in areas with high levels of openness to the outside world, non-state-owned and non durable goods industries, strong intellectual property protection, and high market integration.Therefore, the government needs to strictly adhere to the principle of differentiation, formulate targeted and differentiated support measures for enterprises with different characteristics and in different external environments, and implement policies tailored to each enterprise.Finally, the economic consequences test shows that under the background of digital transformation, the diversification of enterprise customer relationships can not only reduce their business risks, but also increase their business performance.Therefore, in the face of increasingly fierce market competition, enterprises should seize the opportunities of digital economy development, and accelerate the deep integration of digital technology with production, operation, and organizational management methods.By harnessing the power of digital transformation, enterprises can optimize their supply chain customer relationships reasonably, reduce excessive dependence on large customers in the supply chain, and achieve synergistic improvement between operational efficiency and operational safety.This research provides a useful supplement for understanding the link between enterprise digital transformation and customer relationships' integratation and optimization, which can help to provides empirical evidence for the government's precise policy, enterprise digital transformation strategy and supply chain management.
[1] PANDIT S,WASLEY C E,ZACH T.Information externality along the supply chain:the economic determinants of supplier’s stock price reaction to their customer’s earnings announcements[J].Contemporary accounting research,2011,28(4):1304-1343.
[2] 江伟,底璐璐,刘诚达.商业信用与合作型客户关系的构建——基于提供给大客户应收账款的经验证据[J].金融研究,2021,489(3):151-169.
[3] DHALIWAL D,JUDD J S,SERFLING M,et al.Customer concentration risk and the cost of equity capital[J].Journal of accounting and economics,2016,61(1):23-48.
[4] 韩国高,陈庭富,刘田广.数字化转型与企业产能利用率——来自中国制造企业的经验发现[J].财经研究,2022,48(9):154-168.
[5] 李沁洋,支佳,刘向强.企业数字化转型与资本配置效率[J].统计与信息论坛,2023,38(3):70-83.
[6] 赵宸宇,王文春,李雪松.数字化转型如何影响企业全要素生产率[J].财贸经济,2021,42(7):114-129.
[7] 申渊源,朱宏博,乔志林.数字经济、数字化转型与企业核心竞争力[J].西安财经大学学报,2024,37(2):72-84.
[8] LI M,JIA S.Resource orchestration for innovation:the dual role of information technology[J].Technology analysis & strategic management,2018,30(10):1136-1147.
[9] 杨金玉,彭秋萍,葛震霆.数字化转型的客户传染效应——供应商创新视角[J].中国工业经济,2022(8):156-174.
[10] 李云鹤,蓝齐芳,吴文锋.客户公司数字化转型的供应链扩散机制研究[J].中国工业经济,2022(12):146-165.
[11] 范合君,吴婷,何思锦.企业数字化的产业链联动效应研究[J].中国工业经济,2023(3):115-132.
[12] PATATOUKAS P N.Customer-base concentration:implications for firm performance and capital markets[J].Accounting review,2012,87(2):363-392.
[13] MA X F,WANG W M,WU J G,et al.Corporate customer concentration and stock price crash risk[J].Journal of banking & finance,2020,119:105903.
[14] DHALIWAL D,MICHAS P N,NAIKER V,et al.Greater reliance on major customers and auditor going-concern opinions[J].Contemporary accounting research,2020,37(1):160-188.
[15] LEUNG W S,SUN J.Policy uncertainty and customer concentration[J].Production and operations management,2021,30(5):1517-1542.
[16] 陈胜蓝,刘晓玲.中国城际高铁与银行贷款成本——基于客户集中度风险的视角[J].经济学(季刊),2020,20(5):173-192.
[17] 李姝,李丹,田马飞,等.技术创新降低了企业对大客户的依赖吗[J].南开管理评论,2021,24(5):26-39.
[18] 陶锋,王欣然,徐扬,等.数字化转型、产业链供应链韧性与企业生产率[J].中国工业经济,2023(5):118-136.
[19] PATIDAR A,SHARMA M,AGRAWAL R,et al.Supply chain resilience and its key performance indicators:an evaluation under Industry 4.0 and sustainability perspective[J].Management of environmental quality,2023,34(4):962-980.
[20] 施思.数字化转型如何驱动中国式产业链现代化——基于产业结构升级视角[J].新疆社会科学,2023(6):33-42.
[21] 巫强,姚雨秀.企业数字化转型与供应链配置:集中化还是多元化[J].中国工业经济,2023(8):99-117.
[22] 李青原,李昱,章尹赛楠,等.企业数字化转型的信息溢出效应——基于供应链视角的经验证据[J].中国工业经济,2023(7):142-159.
[23] 温科,李常洪.数字化转型、供应链集中度与供应商创新[J].统计与信息论坛,2024,39(3):107-128.
[24] 侯德帅,王琪,张婷婷,等.企业数字化转型与客户资源重构[J].财经研究,2023,49(2):110-124.
[25] 邱煜,潘攀.企业数字化转型与大客户依赖治理[J].财贸经济,2023,44(10):90-108.
[26] BIRGE J R,CAPPONI A,CHEN P C.Disruption and rerouting in supply chain networks[J].Operations research,2023,71(2):750-767.
[27] ZHANG X D,ZOU M F,LIU W M,et al.Does a firm’s supplier concentration affect its cash holding?[J].Economic modelling,2020,90:527-535.
[28] 邱煜,伍勇强,唐曼萍.数字化转型与企业供应链依赖[J].中国软科学,2023(10):215-224.
[29] VERHOEF P C,BROEKHUIZEN T,BART Y,et al.Digital transformation:a multidisciplinary reflection and research agenda[J].Journal of business research,2021,122:889-901.
[30] 张璐,王岩,苏敬勤,等.资源基础理论:发展脉络、知识框架与展望[J].南开管理评论,2023,26(4):246-258.
[31] VELDKAMP L,CHUNG C.Data and the aggregate economy[J].Journal of economic literature,2024,62(2):458-484.
[32] KOTLER P,KELLER K,CHERNEV A.Marketing management[M].London:Pearson Education,2022:444-467.
[33] 吴非,胡慧芷,林慧妍,等.企业数字化转型与资本市场表现——来自股票流动性的经验证据[J].管理世界,2021,37(7):130-144.
[34] 欧阳日辉.数据要素促进数字经济和实体经济深度融合的理论逻辑与分析框架[J].经济纵横,2024(2):67-78.
[35] LEE S M,JIRAPORN P,SONG H.Customer concentration and stock price crash risk[J].Journal of business research,2020,110:327-346.
[36] 樊纲,王小鲁,朱恒鹏.中国市场化指数:各地区市场化相对进程2009年报告[M].北京:经济科学出版社,2010:257-318.
Basic Information:
China Classification Code:F274;F49;F832.51
Citation Information:
[1]GE Haiyan,DING Xiaoqiang.The Impact of Digital Transformation on Enterprises’ Customer Relationship[J].Journal of Statistics and Information,2024,39(09):106-117.
Fund Information:
国家社会科学基金一般项目“数字赋能零售业态高质量发展的机理与政策”(23BJY194); 教育部人文社会科学研究青年基金项目“中国高技术产业链风险敞口的动态演化、形成机理与调控路径研究”(23YJC790017)
2024-07-22
2024-07-22
2024-07-22