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Strengthening customer loyalty through financial satisfaction in the banking industry 通过银行业的财务满意度来增强客户忠诚度
Q3 MANAGEMENT Pub Date : 2023-10-03 DOI: 10.1108/nbri-04-2023-0040
Amani Gration Tegambwage, Pendo Shukrani Kasoga
Purpose This study aims to investigate the effect of financial satisfaction (FS) on customer loyalty in the banking industry. Design/methodology/approach The study followed an explanatory research design using responses from 334 respondents from commercial banks in Tanzania. A stepwise regression analysis was used to validate the relevance of the study model. Findings The results indicate a positive and statistically significant association between customer loyalty and FS with levels of assets ( β = 0.598, p < 0.001), savings ( β = 0.186, p < 0.001) and debts ( β = 0.065, p < 0.001). Of the three dimensions of FS, the level of assets had the strongest contribution to customer loyalty, followed by the level of savings and debts, in that order. Research limitations/implications The study used a model of FS that was linked to customer loyalty in the Tanzanian banking industry. It is recommended that the model be tested in other environments to increase the generalizability of the findings. Practical implications This study provides an alternative way for banks to strengthen customer loyalty by enhancing FS. Originality/value The FS model (Joo and Grable, 2004) and the social exchange theory (Blau, 1964) are used in this study to propose a model of customer loyalty in the banking industry. Customer loyalty and FS have not been connected in prior studies.
目的本研究旨在探讨银行业金融满意度对顾客忠诚度的影响。设计/方法/方法本研究采用了一种解释性研究设计,使用了来自坦桑尼亚商业银行的334名受访者的回答。采用逐步回归分析验证研究模型的相关性。结果表明,客户忠诚度和FS与资产水平呈显著正相关(β = 0.598, p <0.001),节约(β = 0.186, p <0.001)和债务(β = 0.065, p <0.001)。在FS的三个维度中,资产水平对客户忠诚度的贡献最大,其次是储蓄和债务水平。研究局限性/启示本研究使用了一个与坦桑尼亚银行业客户忠诚度相关的FS模型。建议在其他环境中对该模型进行测试,以增加研究结果的普遍性。本研究为银行提高客户忠诚度提供了另一种途径。本研究采用FS模型(Joo and Grable, 2004)和社会交换理论(Blau, 1964)提出了银行业客户忠诚度模型。在以往的研究中,客户忠诚度与金融服务之间并没有关联。
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引用次数: 0
Windows of opportunity, alliance portfolio and catch-up of latecomer firms: a longitudinal case study of Sunny from 1984 to 2018 机会之窗、联盟组合与后发公司追赶:1984 - 2018年Sunny纵向案例研究
Q3 MANAGEMENT Pub Date : 2023-09-22 DOI: 10.1108/nbri-01-2023-0001
Xinmin Peng, Lumin He, Shuai Ma, Martin Lockett
Purpose An alliance portfolio can help latecomer firms to acquire the necessary knowledge and resources to catch up with market leaders. However, how latecomer firms construct an alliance portfolio in terms of the nature of windows of opportunity has not been fully analyzed. This paper aims to explore how latecomer firms can build appropriate coalitions according to the nature of the window of opportunity to achieve technological catch-up in different catch-up phases. Design/methodology/approach Based on a longitudinal case study from 1984 to 2018 of Sunny Group, now a leading manufacturer of integrated optical components and products, this paper explores the process of technological catch-up of latecomer firms building different types of alliance portfolio in different windows of opportunity. Findings This paper finds that there is a sequence when latecomers build an alliance portfolio in the process of catch-up. When the uncertainty of opportunity increases, the governance mechanism of the alliance portfolio will change from contractual to equity-based. Also, latecomer firms build market-dominated and technology-dominated alliance portfolios to overcome their market and technology disadvantages, respectively. Originality/value These conclusions not only enrich the theory of latecomer catch-up from the perspective of windows of opportunity but also expand research on alliance portfolio processes from a temporal perspective.
联盟投资组合可以帮助后发企业获得必要的知识和资源,以赶上市场领导者。然而,从机会之窗的性质来看,后发企业如何构建联盟投资组合还没有得到充分的分析。本文旨在探讨在不同的追赶阶段,后发企业如何根据机会之窗的性质,构建适当的联盟来实现技术追赶。本文以中国领先的集成光学元件及产品制造商阳光集团1984年至2018年的纵向案例为基础,探讨了不同机会窗口下不同类型联盟组合的后起企业的技术追赶过程。研究发现,后发企业在追赶过程中建立联盟投资组合存在一定的顺序。当机会不确定性增加时,联盟投资组合的治理机制将由契约型向股权型转变。此外,后发企业分别通过建立市场主导型和技术主导型联盟组合来克服市场劣势和技术劣势。这些结论不仅从机会之窗的视角丰富了后发追赶理论,而且从时间视角拓展了联盟投资组合过程的研究。
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引用次数: 0
Firms’ value impact of C2M mode empowered by big data based on event study 基于事件研究的大数据支持下C2M模式对企业价值的影响
Q3 MANAGEMENT Pub Date : 2023-09-14 DOI: 10.1108/nbri-03-2023-0024
Bo Li, Ruxiao Xing, Wenya Guo, Shixiang Tang
Purpose This study aims to analyze and discuss whether and how consumer-to-manufacturer (C2M) mode empowered by e-commerce retail platforms’ big data affects the stock returns of firms in supply chains. Design/methodology/approach This study selects 195 companies affected by four C2M events as samples and empirically analyzes the impact mechanisms of C2M mode on supply chain firms’ stock returns by event study. Findings This paper finds that C2M announcements own a positive impact on the stock returns of supply chain firms. Further, the results show that the business and financial characteristics play a significant impact on the relationship between the C2M mode and firm stock return performance. For example, C2M mode leads to huge stock returns when firms cooperate with the platforms related to their business content. In addition, the business scope can strengthen the positive promotion of C2M mode in stock returns, while business concentration weakens the positive promotion of C2M mode in stock returns. Originality/value The results found in this paper can provide practical guidance for the firms in supply chains to further apply C2M mode from the business characteristics and financial performance view.
本研究旨在分析和讨论电子商务零售平台大数据支持下的C2M模式是否以及如何影响供应链企业的股票收益。本研究选取受四种C2M事件影响的195家企业为样本,通过事件研究实证分析了C2M模式对供应链企业股票收益的影响机制。研究发现C2M公告对供应链企业股票收益具有正向影响。进一步,研究结果表明,企业经营特征和财务特征对C2M模式与企业股票收益绩效之间的关系有显著影响。例如,C2M模式下,企业与其业务内容相关的平台合作,会带来巨大的股票收益。此外,经营范围可以增强C2M模式对股票收益的正向促进作用,而业务集中度会削弱C2M模式对股票收益的正向促进作用。本文的研究结果可以为供应链企业从经营特征和财务绩效角度进一步应用C2M模式提供实践指导。
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引用次数: 0
Research on the impact of e-commerce platform’s AI resources on seller opportunism: a cultivational governance mechanism 电子商务平台人工智能资源对卖家机会主义的影响研究:一种培育性治理机制
IF 2.8 Q3 MANAGEMENT Pub Date : 2023-09-07 DOI: 10.1108/nbri-07-2022-0074
Guangkuan Deng, Jianyu Zhang, Lijuan He, Ying Xu
PurposeDrawing on the wisdom of ancient Chinese philosopher Xunzi, this paper aims to present a novel mechanism for governing opportunism, referred to as “cultivational governance.” By examining the role of artificial intelligence (AI) resources possessed by e-commerce platforms, the authors explore how these resources contribute to mitigating seller opportunism. The central hypothesis of this study posits that two distinct types of AI resources, namely, AI technology resources and AI human resources, serve as crucial factors in curbing seller opportunism. Furthermore, the authors propose that platform digital empowerment and value cocreation act as mediating variables linking AI resources to opportunism.Design/methodology/approachBased on the resource-based view and resource orchestration theory, the authors developed a framework and tested it using survey data from sellers. This framework encompasses five key variables: e-commerce platform’s AI technology resources, AI human resources, platform digital empowerment, value cocreation and seller opportunism. Regression analysis was used for data analysis.FindingsThe empirical results validate the effectiveness of cultivational governance mechanisms, as both AI resources effectively suppress seller opportunism through digital empowerment and value cocreation. Specifically, e-commerce platforms’ AI technology resources significantly promote value cocreation and platform digital empowerment, while AI human resources primarily contribute to platform digital empowerment. Although platform digital empowerment encourages value cocreation, its direct impact on reducing seller opportunism was not supported. Notably, value cocreation negatively affects seller opportunism.Originality/valueThe present research mainly contributes to the marketing channel governance literature by introducing a new approach to inhibit opportunism, namely, the cultivational governance mechanism.
目的借鉴中国古代哲学家荀子的智慧,本文旨在提出一种新的治理机会主义的机制,称为“耕耘治理”。通过考察电子商务平台所拥有的人工智能资源的作用,作者探讨了这些资源如何有助于减轻卖方机会主义。本研究的中心假设认为,两种不同类型的人工智能资源,即人工智能技术资源和人工智能人力资源,是遏制卖方机会主义的关键因素。此外,作者提出,平台数字授权和价值共创是将人工智能资源与机会主义联系起来的中介变量。设计/方法论/方法基于基于资源的观点和资源协调理论,作者开发了一个框架,并使用卖家的调查数据对其进行了测试。该框架包括五个关键变量:电子商务平台的人工智能技术资源、人工智能人力资源、平台数字赋能、价值共创和卖家机会主义。数据分析采用回归分析。发现实证结果验证了培育治理机制的有效性,因为人工智能资源通过数字赋权和价值共创有效抑制了卖家机会主义。具体而言,电子商务平台的人工智能技术资源显著促进了价值共创和平台数字化赋能,而人工智能人力资源主要促进了平台数字赋能。尽管平台数字化赋能鼓励价值共创,但其对减少卖家机会主义的直接影响并未得到支持。值得注意的是,价值共创对卖方机会主义产生了负面影响。原创性/价值本研究主要通过引入一种抑制机会主义的新方法,即培育性治理机制,对营销渠道治理文献做出贡献。
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引用次数: 1
Help-seeking at work: an integrative review, organizing framework and agenda for future research 工作中的求助:未来研究的综合回顾、组织框架和议程
IF 2.8 Q3 MANAGEMENT Pub Date : 2023-08-15 DOI: 10.1108/nbri-03-2023-0025
Keyu Chen, Guoquan Chen, Qiong Wu, Wei Liu, Huiqun Zhao
PurposeThe literature on help-seeking at work has experienced significant growth in the past decades. However, our knowledge about this research domain remains fragmented and lacks sufficient theoretical integration. Therefore, this paper aims to comprehensively integrate the extant literature on help-seeking behavior at work and propose an overarching, organized framework to propel this field forward.Design/methodology/approachA state-of-the-art review and theoretical development on help-seeking at work are conducted.FindingsFirst, the authors provide the conceptual clarity of its definitions, key characteristics, types and measurement techniques. Second, the authors develop a fine-grained and integrative process-based framework consisting of antecedents, proximal psychological mechanisms, subsequent influencing processes and distal outcomes to advance our understanding of seeking help in the workplace. Third, the authors offer a detailed agenda for future research to target opportunities within the field.Originality/valueThe current study is comprehensive in surveying the full body of knowledge on help-seeking at work. It uniquely provides a coherent overarching framework that organizes prior findings and channels future research. Additionally, this review paints a complete picture of what has been done and what needs to be done in the field. More research can be spurred based on our conceptual framework.
目的在过去的几十年里,关于工作中寻求帮助的文献有了显著的增长。然而,我们对这一研究领域的了解仍然是零散的,缺乏足够的理论整合。因此,本文旨在全面整合现有的关于工作中求助行为的文献,并提出一个总体的、有组织的框架来推动这一领域的发展。设计/方法/方法对工作中寻求帮助进行了最新的审查和理论发展。发现首先,作者提供了其定义、关键特征、类型和测量技术的概念清晰度。其次,作者开发了一个细粒度的、基于过程的综合框架,该框架由前因、近端心理机制、后续影响过程和远端结果组成,以提高我们对在工作场所寻求帮助的理解。第三,作者为未来的研究提供了详细的议程,以瞄准该领域的机会。独创性/价值目前的研究是全面的,调查了工作中寻求帮助的全部知识。它独特地提供了一个连贯的总体框架,用于组织先前的发现并引导未来的研究。此外,这篇综述描绘了该领域已经做了什么和需要做什么的全貌。基于我们的概念框架,可以推动更多的研究。
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引用次数: 0
Research on the heterogeneity of technical innovation in the Chinese e-cigarette industry – rethinking the A-U model 中国电子烟行业技术创新异质性研究——对A-U模型的再思考
IF 2.8 Q3 MANAGEMENT Pub Date : 2023-07-05 DOI: 10.1108/nbri-11-2022-0112
Yan Xu, Ya’nan Zhang, Ziqiang Wang, Xi Song, Zhenli Bai, Xiang Li
PurposeUnlike traditional industries, the e-cigarette is an epoch-making innovative product originating in China and occupying an absolute competitive advantage in the international market. The traditional A-U model describes the laws and characteristics of technological innovation in developed countries. In contrast, the inverse A-U model depicts the process of “secondary innovation” in late-developing countries through digestion and absorption. This paper aims to find out that if the e-cigarette, as a “first innovation” industry in a late-developing country, conform to the A-U model or conform to the “inverse A-U model”.Design/methodology/approachThis paper takes the patent data of e-cigarettes from 2004 to 2021 as the research object, and uses Python’s Jieba segment words to divide product innovation and process innovation, and then uses statistical analysis methods to conduct empirical analyses on these data.FindingsThus, an improved A-U model suitable for the e-cigarette industry is proposed. In this model, product innovation in the e-cigarette industry appeared earlier than process innovation, but the synchronous development of product and process innovation is not lagging. The improved A-U model in the e-cigarette industry is not only different from the traditional A-U model but also does not conform to the inverse A-U model.Research limitations/implicationsIt is conducive to expanding and clarifying the theoretical contribution and applicable boundaries of the A-U model and has sparked thinking and exploration of the A-U model in e-cigarettes and emerging industries.Practical implicationsOn this basis, suggestions on the development path and countermeasures of the e-cigarette industry are put forward.Originality/valueBased on the e-cigarette industry, this paper takes patents as the research object and provides the method of dividing product innovation and process innovation, and proposes an A-U model suitable for the e-cigarette industry on this basis. By comparing the traditional A-U model with the inverse A-U model in latecomer countries, the background and causes of e-cigarette A-U model heterogeneity are analyzed from different stages and overall morphology. Based on this, the heterogeneity characteristics of e-cigarette innovation are summarized and sorted out.
目的与传统产业不同,电子烟是一种划时代的创新产品,起源于中国,在国际市场上占据绝对竞争优势。传统的A-U模型描述了发达国家技术创新的规律和特点。相反,逆A-U模型描绘了后发展中国家通过消化和吸收进行“二次创新”的过程。本文旨在找出电子烟作为后发国家的“第一创新”产业,是符合a-U模型还是符合“逆a-U模型”,然后运用统计分析方法对这些数据进行实证分析。因此,提出了一种适用于电子烟行业的改进的A-U模型。在这种模式下,电子烟行业的产品创新早于工艺创新,但产品和工艺创新的同步发展并不滞后。电子烟行业的改进A-U模型不仅不同于传统的A-U模型,而且不符合逆A-U模型。研究局限性/含义有助于拓展和厘清A-U模式的理论贡献和适用边界,并引发了对A-U模式在电子烟和新兴产业中的思考和探索。在此基础上,对电子烟产业的发展路径和对策提出了建议。原创性/价值基于电子烟行业,本文以专利为研究对象,提出了产品创新和工艺创新的划分方法,并在此基础上提出了适合电子烟行业的A-U模型。通过比较后发国家的传统A-U模型和逆A-U模型,从不同阶段和整体形态分析了电子烟A-U模型异质性的背景和原因。在此基础上,对电子烟创新的异质性特征进行了总结和梳理。
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引用次数: 0
The mystery of choice of equity incentive model: based on the game theory analysis between shareholders and top executives 股权激励模式选择之谜——基于股东与高管博弈分析
IF 2.8 Q3 MANAGEMENT Pub Date : 2023-05-23 DOI: 10.1108/nbri-11-2022-0111
Wenzhe Chen, Ning Shi, Q. Liang, Xiangchao Hao
Purpose Based on the background of the restricted stock has gradually replaced stock option and has become the mainstream equity incentive model in China, this paper aims to investigate the which factors affect the choice of equity incentive model, and the impacts of equity incentive model. Design/methodology/approach The theoretical analysis is based on the game theory between shareholders and top executives. The empirical analysis is based on the detailed data of equity incentives in China’s listed companies from 2006 to 2017; the logit method and least square method are implemented to estimate the regression coefficients and Black–Scholes options pricing model to estimate the value of restricted stock/option granted to the CEO. Findings This paper documents that enterprises with serious agency problems, high investment risks, high stock price synchronicity and great executive power are significantly and positively related to restricted stock. The main empirical findings still hold after several robust tests. In addition, restricted stock can significantly improve corporate performance when the performance evaluation index is strict and the validity period is long, while for the sample group with loose performance index and short validity period, restricted stock significantly reduces corporate performance. Originality/value This paper analyzes the “black box” of equity incentive model selection from the stakeholders’ game perspective by constructing a game theory model to investigate the reasons for the choice of equity incentive model in various situations, which enriches the research in this field. Moreover, this paper finds that restricted stock has both incentive and welfare characteristics, and the rationality of performance appraisal goals is the key factor leading to the difference in incentive effects. Overall, the research indicates that only well-designed equity incentive plans can improve corporate performance, which contributes to regulators and practitioners to form a rational understanding of restricted stock model and provides a reference for their decision-making.
目的在限制性股票逐渐取代股票期权并成为我国主流股权激励模式的背景下,本文旨在研究哪些因素影响股权激励模式选择,以及股权激励模式对其影响。设计/方法论/方法理论分析基于股东和高管之间的博弈论。实证分析基于2006年至2017年中国上市公司股权激励的详细数据;采用logit方法和最小二乘法估计回归系数,采用Black-Scholes期权定价模型估计授予CEO.的限制性股票/期权的价值,高股价同步性和高执行力与限制性股票显著正相关。经过几次有力的检验,主要的实证结果仍然成立。此外,当业绩评价指标严格且有效期较长时,限制性股票可以显著提高公司业绩,而对于业绩指标宽松且有效期较短的样本组,限制性证券显著降低公司业绩。独创性/价值本文从利益相关者的博弈角度分析了股权激励模式选择的“黑匣子”,构建了一个博弈论模型,考察了不同情况下股权激励模式的选择原因,丰富了该领域的研究。此外,本文还发现,限制性股票具有激励和福利双重特征,绩效考核目标的合理性是导致激励效果差异的关键因素。总体而言,研究表明,只有精心设计的股权激励计划才能提高公司业绩,这有助于监管机构和从业者对限制性股票模型形成理性的理解,并为他们的决策提供参考。
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引用次数: 1
Experiential learning, institutional quality and Chinese state-owned firms’ cross-border acquisitions 经验学习、制度质量与中国国有企业跨国并购
IF 2.8 Q3 MANAGEMENT Pub Date : 2023-05-19 DOI: 10.1108/nbri-11-2022-0106
Jinyuan Jia, Ping-Ju Wu
PurposeState-owned firms play important roles in Chinese cross-border acquisition (CBA) activities. However, compared with private firms, state-owned firms have a lower likelihood of acquisition completion and take longer to complete a deal. This paper aims to determine why this phenomenon exists and how state-owned firms can overcome the constraints of their identity.Design/methodology/approachBy integrating organizational learning theory with institutional theory, this paper attempts to answer the research questions from a legitimacy perspective. Employing Chinese CBA data from 1982 to 2014, the authors use a logit model and a random effects model to test the hypothesis.FindingsThe results show that a state-owned identity easily causes legitimacy concerns among host country regulatory agencies; thus, it may result in longer and more uncertain evaluation behaviors, which lead to a lower likelihood of CBA completion and a longer deal duration. Only experience with failed acquisitions can increase CBA completion probability. Furthermore, in very complex decision-making environments, such as that surrounding deal duration, only specific types of experience (i.e. experience of failed international acquisitions) can trigger learning behavior, whereas general experience (i.e. failed acquisition experience) has little influence. Favorable bilateral relationships may not improve the completion rate and efficiency of state-owned firms, but high-quality host country institutions lead to a higher likelihood of CBA completion among state-owned firms; however, this may be not conducive to decreasing the time needed to complete an acquisition deal.Originality/valueFirst, by discussing the completion rate and duration of CBAs conducted by state-owned firms and analyzing the factors that influence them, this paper enriches and develops the theory of organizational overseas mergers and acquisitions (M&As). Second, by adopting a legitimacy perspective and integrating institutional theory, the authors theorize how state-owned status influences firms’ M&A completion rate and time and test the hypotheses empirically; thus, this paper improves and deepens institutional theory. Third, by discussing how different types of experience (i.e. successful experience vs failed acquisition experience) influence the acquisition completion rate and duration and how general experience and specific types of experience affect these two dependent variables differently, this paper explains how state-owned firms can learn effectively from experience, contributing to organizational learning theory.
目的国有企业在中国跨境并购活动中发挥着重要作用。然而,与私营企业相比,国有企业完成收购的可能性较低,完成交易的时间也更长。本文旨在确定为什么会出现这种现象,以及国有企业如何克服身份的限制。设计/方法论/方法将组织学习理论与制度理论相结合,试图从合法性的角度回答研究问题。利用1982~2014年中国CBA数据,采用logit模型和随机效应模型对该假设进行了检验。研究结果表明,国有身份容易引起东道国监管机构对合法性的担忧;因此,这可能会导致更长、更不确定的评估行为,从而导致CBA完成的可能性更低,交易持续时间更长。只有失败收购的经验才能增加CBA的完成概率。此外,在非常复杂的决策环境中,例如围绕交易持续时间的决策环境,只有特定类型的经验(即失败的国际收购经验)才能触发学习行为,而一般经验(即成功的收购经验)几乎没有影响。良好的双边关系可能不会提高国有企业的完成率和效率,但高质量的东道国机构导致国有企业完成CBA的可能性更高;然而,这可能不利于减少完成收购交易所需的时间。原创性/价值首先,本文通过讨论国有企业并购的完成率和持续时间,并分析影响它们的因素,丰富和发展了组织海外并购的理论。其次,采用合法性视角,结合制度理论,对国有地位如何影响企业并购完成率和时间进行了理论分析,并对这些假设进行了实证检验;因此,本文对制度理论进行了完善和深化。第三,通过讨论不同类型的经验(即成功经验与失败经验)如何影响收购完成率和持续时间,以及一般经验和特定类型的经验如何不同地影响这两个因变量,本文解释了国有企业如何从经验中有效学习,为组织学习理论做出了贡献。
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引用次数: 0
Active imitation or passive reaction: research on the peer effect on trade credit 主动模仿还是被动反应:贸易信贷的同伴效应研究
IF 2.8 Q3 MANAGEMENT Pub Date : 2023-05-10 DOI: 10.1108/nbri-10-2022-0101
Na Wu, Yaxin Bai, Yi An
PurposeUsing a sample of manufacturing firms listed in China between 2007 and 2019, first, this paper aims to examine whether peer firms influence corporate trade credit supply. Next, the authors examine the channels through which peer firms influence corporate trade credit supply by testing the predictions of rivalry and information theories. Furthermore, the authors examine the heterogeneity of the industry peer effect on corporate trade credit supply. Finally, the authors examine the economic consequences of the industry peer effect on corporate trade credit supply.Design/methodology/approachThe sample includes all manufacturing firms listed on both the Shanghai and Shenzhen securities exchanges for the sample period from 2007 to 2019, and the data come from the China Stock Market & Accounting Research database. The authors use the fixed effects method to examine the industry peer effect on trade credit supply. The results are robust to a series of robustness tests. To address the potential endogeneity problem, the authors adopt appropriate instruments by estimating instrumental variable models (two-stage least square). The authors use Heckman’s two-stage model to mitigate the sample selection bias.FindingsThe authors provide strong empirical evidence showing that the industry peer effect on trade credit supply exists in the manufacturing sector. It is also found that both competitive rivalry-based and information-based theories can provide explanations of the industry peer effect on trade credit supply. This process is both active imitation and passive reaction. Additional analysis suggests that the industry peer effect on trade credit supply is more pronounced for state-owned firms, firms with low customer concentration and firms with high geographical proximity. The amplification effect and spillover effect are the economic consequences of the industry peer effect on trade credit supply. In other words, the trade credit supply based on peer effect will not only increase the liquidity risk of the firm per se but also induce and increase the liquidity risk of the industry.Originality/valueThe study makes some important contributions. First, the authors find robust evidence that peer firms’ trade credit supply is an important factor in explaining corporate trade credit supply, which extends the literature by connecting the firm’s trade credit supply with the peer effect. Second, the study provides a new micro-perspective for understanding that firms use trade credit supply as a tool of competition, which proves the importance of rivals’ decision-making as a determinant of corporate decisions. Third, the authors examine the industry peer effect on trade credit supply, which not only helps to guide firms to pay more attention to the potential risk and spillover effects of the trade credit supply decision-making relevance but also helps to clarify the industry interaction phenomenon of corporate decision-making behavior. It is an im
本文以2007 - 2019年在中国上市的制造业企业为样本,首先考察同行企业对企业贸易信贷供给的影响。接下来,作者通过测试竞争理论和信息理论的预测来检验同行企业影响企业贸易信贷供应的渠道。此外,作者还考察了行业同业效应对企业贸易信贷供给的异质性。最后,作者考察了行业同行效应对企业贸易信贷供给的经济后果。样本包括2007年至2019年在上海和深圳证券交易所上市的所有制造业公司,数据来自中国股票市场与会计研究数据库。本文运用固定效应方法考察了行业同业效应对贸易信贷供给的影响。结果对一系列稳健性测试具有稳健性。为了解决潜在的内生性问题,作者通过估计工具变量模型(两阶段最小二乘法)采用适当的工具。作者使用赫克曼的两阶段模型来减轻样本选择偏差。研究结果作者提供了强有力的实证证据,表明制造业存在行业同业效应对贸易信贷供给的影响。研究还发现,基于竞争对手的理论和基于信息的理论都可以解释行业对等效应对贸易信贷供给的影响。这个过程既是主动模仿又是被动反应。进一步的分析表明,对于国有企业、客户集中度低的企业和地理邻近度高的企业,行业同行效应对贸易信贷供应的影响更为明显。放大效应和溢出效应是行业同业效应对贸易信贷供给的经济后果。也就是说,基于同伴效应的贸易信贷供给不仅会增加企业自身的流动性风险,而且会诱发和增加行业的流动性风险。这项研究做出了一些重要贡献。首先,作者发现了强有力的证据,证明同行企业的贸易信贷供给是解释企业贸易信贷供给的重要因素,将企业的贸易信贷供给与同行效应联系起来,拓展了文献。其次,本研究为理解企业将贸易信贷供给作为一种竞争工具提供了一个新的微观视角,证明了竞争对手决策作为企业决策决定因素的重要性。第三,考察行业同行效应对贸易信贷供给的影响,不仅有助于引导企业更加关注贸易信贷供给决策相关性的潜在风险和溢出效应,而且有助于厘清企业决策行为的行业互动现象。在企业微观层面与行业中观层面之间发挥桥梁作用具有重要的现实意义。最后,为行业规范和政策的制定提供启示。
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引用次数: 1
Application of blockchain in enterprise financing: literature review and knowledge framework b区块链在企业融资中的应用:文献综述与知识框架
IF 2.8 Q3 MANAGEMENT Pub Date : 2023-05-10 DOI: 10.1108/nbri-08-2022-0080
Hua Song, Yudong Yang, Zheng Tao
PurposeIn recent years, the application of blockchain in enterprise financing has become a hot topic in academic research. This study aims to review the existing literature, construct a knowledge framework for this research topic and propose an agenda for future research.Design/methodology/approachBased on 181 papers published from 2016 to 2020 in core journal databases in China and abroad, this study used bibliometric tools to identify and analyze an overview of literature publications, research hotspot trends and research theme clustering. This study also qualitatively analyzes literature from the dimensions of enabling mechanisms, multitechnology synergy, challenges, theoretical perspectives and research methods.FindingsThis study presents the research progress of blockchain applications in direct financing, bank credit, supply chain finance and other financing modes and analyzes the similarities and differences between domestic and international literature. This study also reveals enabling mechanisms of blockchain in enterprise financing, reflected as information quality improvement (data elements), trust mechanism innovation (business process) and collaboration structure enhancement (network structure). The study found several challenges (e.g. technological uncertainty, data security and organizational change) and trends (e.g. integrated innovation of multiple digital technologies). Additionally, the authors identified several gaps and opportunities for further research.Research limitations/implicationsThis study adopts a strict strategy of selecting search terms when retrieving the literature, leading to the exclusion of certain papers on this topic.Practical implicationsThis study provides valuable insights into the innovative development of enterprise financing modes enabled by blockchain and emphasizes that managers should clarify the applicable boundaries and necessary conditions of blockchain innovation in different financing scenarios to match technological innovation with industrial expectations.Originality/valueThis study constructs a knowledge framework on this topic based on a comprehensive review of existing research and proposes several important issues for future research based on the identified research gaps.
目的近年来,区块链在企业融资中的应用成为学术界研究的热点。本研究旨在回顾现有文献,构建本研究主题的知识框架,并提出未来研究的议程。设计/方法论/方法基于2016年至2020年在国内外核心期刊数据库发表的181篇论文,本研究使用文献计量工具对文献发表综述、研究热点趋势和研究主题聚类进行了识别和分析。本研究还从赋能机制、多技术协同、挑战、理论视角和研究方法等维度对文献进行了定性分析。发现本研究介绍了区块链在直接融资、银行信贷、供应链金融等融资模式中的应用研究进展,并分析了国内外文献的异同。本研究还揭示了区块链在企业融资中的赋能机制,体现为信息质量提升(数据元素)、信任机制创新(业务流程)和协作结构增强(网络结构)。该研究发现了一些挑战(如技术不确定性、数据安全和组织变革)和趋势(如多种数字技术的综合创新)。此外,作者还发现了一些差距和进一步研究的机会。研究局限性/含义本研究在检索文献时采用了严格的搜索词选择策略,导致该主题的某些论文被排除在外。实践启示本研究为区块链赋能的企业融资模式创新发展提供了宝贵的见解,并强调管理者应明确区块链创新在不同融资场景中的适用边界和必要条件,以使技术创新与行业预期相匹配。原创性/价值本研究在全面回顾现有研究的基础上构建了一个关于该主题的知识框架,并根据已确定的研究差距提出了未来研究的几个重要问题。
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引用次数: 4
期刊
Nankai Business Review International
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