喻园管理论坛2024年第63期(总第995期)
演讲主题:Customer Concentration, Firm R&D Investment and Moderation Effects
主 讲 人:何新明，英国杜伦大学教授
主 持 人:贺远琼，会计与财税系教授
活动时间:2024年6月21日（周五）15:30-17:30
活动地点:管院大楼119室
主讲人简介：
何新明,英国国王学院博士,英国杜伦大学教授、“国际研究中心”主任、大学伦理委员会成员，英国文化协会（British Council）Study UK HEI顾问，厦门大学经济学院客座教授。主要研究方向：国际商务、国际战略、出口绩效、电子化与国际化绩效等。他是Journal of Business Research副主编、Asian Business & Management副主编、APJM, IMR和IJEM编委会成员。他是UKRI (UK Research and Innovation英国研究与创新院) Talent Peer Review College (同行评审院)成员、ESRC (Economic and Social Research Council英国经济与社会学研究理事会)评审、中国自然科学基金委“优青”项目评审。他的研究收获众多国际奖项，比如S Tamer Cavusgil Best Paper Award（CIMaR，Consortium for International Marketing Research，29th Annual Conference, Bodø, 2022）。他主持、参与过众多资助的研究项目，比如英国Charles Wilson‘Smart & Scale Up’of Regional SMEs Research Grant: Global Smart Hub、英国AHRC项目以及中国自然科学基金、中国社会科学基金与中国教育部项目。
活动简介：
Building on resource dependence theory (RDT) and attention-based view (ABV), this research examines the impact of customer concentration on firm R&D investment and the conditional factors. We argue a firm with heavy reliance on a restricted number of major customers will have a lower level of firm R&D investment due to loss of discretion in decision-making and increase operational risks. Moreover, the external environmental factors - competitive intensity, intellectual property right (IPR) protection - and the internal cognitive factor - management myopia - of the firm will exacerbate the negative effect. Using econometric modelling, we examine a large sample of A-share listed firms in Shanghai and Shenzhen stock markets spanning 2008-2017 (14,203 firm-year observations), the findings support our hypotheses. Furthermore, the results withstand a series of robustness checks, including the instrumental variable method and propensity score matching. This research adds to the customer concentration studies and RDT literature by uncovering a dark side of firms’concentrated customer base and the situational factors that strengthen this effect. It also marks an early empirical analysis of ABV-based prediction.
