企业-供应商关系与合作绩效路径模型实证研究

企业与供应商的合作已成为中国企业运营的重要方式,企业与供应商的关系成为双方合作成功的关键.依据相关理论分析提出假设路径模型,针对 139 家企业的 260 份有效问卷的调查数据,运用因子分析的方法,证实中国企业-供应商关系包括信任、信息共享、承诺和依赖4个维度,合作包括直接合作和间接合作两个途径,然后进行信度和效度检验.针对提出的假设模型,运用结构方程模型的方法进行假设检验和路径分析.实证结果表明,企业与供应商双方的信任通过直接合作和间接合作的途径对企业合作绩效具有直接和间接的正向影响,且影响程度不同;信息共享通过直接合作途径对合作绩效具有间接影响;双方的承诺通过间接合作对合作绩效具有间接影响;双方的依赖程度对合作绩效的影响不显著.研究结果为管理者提供了提高企业合作绩效的方法和启示.     

All You Need Is Trust? An Examination of Inter‐organizational Supply Chain Projects

This study examines the antecedents of supply chain project success. We first propose and test a model that describes the role of relationship‐level factors (trust and asymmetric dependence) and project‐level factors (between‐firm communication and within‐firm commitment) in determining supply chain project success. We find that project‐level factors completely mediate the effect of trust on project success. We conclude that trust, despite being a stronger predictor compared to asymmetric dependence, is necessary but not sufficient for supply chain project success. We then proceed to further explore the role of these factors by introducing a categorical scheme that differentiates supply chain projects based on the decision rights configuration of each project. This categorization enables us to explore how relationship‐level and project‐level factors can have different impact on performance based on the characteristics of a supply chain project. The findings offer insights into how to effectively manage supply chain projects and inter‐firm alliances.     

社会化商务中基于经验及推荐的消费者感知信任模糊融合模型

社会化商务中消费者根据个人经验和他人推荐建立感知信任,是一种典型的信任融合问题。其中,相似性决定了过往个人经验和他人推荐对消费者感知信任的影响力,是信任融合问题中的主导因素。信任融合起源于计算机网络安全领域,国内外学者对此进行了大量研究,但在社会化商务背景下,消费者感知信任的模糊性和感知信任形成的多源性问题对信任融合模型提出新的挑战,带来相似性与感知信任度量难及多源信任融合难问题。针对上述问题,以基于案例的决策理论（CBDT）为基础构建由相似性引导的模型框架,结合直觉模糊集和多属性决策方法构建感知信任模糊融合模型。该模型将决策者的经验与他人推荐相融合,将多种方法相结合优势互补,对完善信任融合方法体系有贡献,对多学科交叉有意义,为传统电子商务平台制定精准营销策略提供新思路,为社会化商务商家预测消费者感知信任提供新的度量方法。     

个体信任认知对博弈合作行为的影响

将信任认知视为局中人关于对方选择合作的信念,探讨在一次性囚徒困境、有限次重复囚徒困境以及无限次重复囚徒困境中,信任认知对局中人策略选择与系统均衡的影响。为了体现信任认知的动态性,以及降低信任预测的主观性,将动态信任预测认知模型引入到重复博弈的分析框架中。研究表明：当个体的总体信任度超过某一临界值时,合作现象将会在系统中涌现并维持。此外,局中人的本轮满意度、历史直接信任度、直接信任度,间接信任度以及活跃度等因素均对其合作行为产生一定的影响。     

Cultural Values,Trust, and Benefit‐Risk Perceptions of Hydraulic Fracturing: A Comparative Analysis of Policy Elites and the General Public

Hydraulic fracturing (“fracking”) has recently become a very intensely debated process for extracting oil and gas. Supporters argue that fracking provides positive economic benefits and energy security and offers a decreased reliance on coal‐based electricity generation. Detractors claim that the fracking process may harm the environment as well as place a strain on local communities that experience new fracking operations. This study utilizes a recently conducted survey distributed to a sample of policy elites and the general public in Arkansas and Oregon to examine the role of cultural value predispositions and trust in shaping the perceptions of risks and benefits associated with fracking. Findings indicate that cultural values influence both trust and benefit‐risk perceptions of fracking for both policy elites and the general public. More specifically, we found that trust in information from various sources is derived from the intrinsic values held by an individual, which in turn impacts perceptions of related benefits and risks. We also found that while the overall pattern of relationships is similar, trust plays a larger role in the formulation of attitudes for policy elites than for the general public. We discuss the implications of the mediating role of trust in understanding value‐driven benefit‐risk perceptions, as well as the disparate role of trust between policy elites and the general public in the context of the policy‐making process for both theory and practice.     

On the Relation Between Trust and Fairness in Environmental Risk Management

In this study, we empirically examine the relations between trust, fairness, and cooperation within two environmental risk management contexts, one in which the focal issue is of high personal moral importance and the other in which the focal issue is of low moral importance. Using an experimental design embedded in two parallel survey questionnaires, one mailed to residents of Washington State, the other to German‐speaking residents of Switzerland, we either manipulated or constructed three factors, issue importance (high/low), procedural fairness (fair/unfair), and policy outcome (risk averse/risk accepting). This design enabled us to compare the predictions of the standard account of procedural fairness, that trust and cooperation are determined by judgments of fairness, with the predictions of an alternative account, that trust and cooperation will be determined by judgments of procedural fairness only when the issue involved is not morally important. Results for the American case showed that under conditions of high issue importance, policy outcome affected judged fairness, trust, and cooperation. Under conditions of low issue importance, policy outcome had no effect on judged fairness or trust but did have a moderate impact on cooperation. Analyses also showed that when issue importance was high, procedural fairness had no effects. When issue importance was low, procedural fairness had moderate effects on judged fairness and trust. Results for the Swiss case replicated the main findings for the American case. Together, these results support the alternative model of the relation between trust and fairness, suggesting that the efficacy of fair procedures is strictly limited.     

Test of a Trust and Confidence Model in the Applied Context of Electromagnetic Field (EMF) Risks

Trust is an important factor in risk management. There is little agreement among researchers, however, on how trust in risk management should be studied. Based on a comprehensive review of the trust literature a "dual-mode model of social trust and confidence" is proposed. Trust and confidence are separate but, under some circumstances, interacting sources of cooperation. Trust is based on value similarity, and confidence is based on performance. According to our model, judging similarity between an observer's currently active values and the values attributed to others determines social trust. Thus, the basis for trust is a judgment that the person to be trusted would act as the trusting person would. Interpretation of the other's performance influences confidence. Both social trust and confidence have an impact on people's willingness to cooperate (e.g., accept electromagnetic fields or EMF in the neighborhood). The postulated model was tested in the applied context of EMF risks. Structural equation modeling procedures and data from a random sample of 1,313 Swiss citizens between 18 and 74 years old were used. Results indicated that after minor modifications the model explained the data very well. In the applied context of EMF risks, both trust and confidence had an impact on cooperation. Results suggest that the dual-mode model of social trust and confidence could be used as a common framework in the field of trust and risk management. Practical implications of the results are discussed.     

Validation of immigrants’ prior foreign learning as a framing practice

This paper explores the attempts by public officials and caseworkers to manage an overflow of immigrants in the labour market in Sweden. I draw on notions of framing and overflowing, inspired by Michel Callon's (1998) work on the organizing of market-based exchange relationships. I argue that validation is best understood as a framing practice, aimed at creating an understanding for the vastness of foreign experience – including skills and competence – of recent immigrants to Sweden, to make this experience measurable and manageable. Validation as a framing practice thereby exemplifies the widespread trust in framing as a way to normalise overflows – to turn overflows into normal flows. However, as the ethnography-inspired study reported here shows, repeated framing does not remove overflows; instead, it produces new and different types of overflows. In the conclusions, I emphasise the heavy investments required by validation in contrast with the fragility of the results it produces in the context of migration management.     

Cooperation in the Face of Conflict: Effects of Top Managers’ Trust Beliefs in their Firms’ Major Suppliers

As with any relationships, those between buying firms and their major suppliers are likely to experience situations of conflict. When facing such situations, top managers tend to approach conflict either cooperatively or competitively. However, when and why top managers tend towards cooperation or competition is far from clear. This study proposes a novel link between the theory of cooperation and competition and the discounting principle of attribution theory to argue that it is top managers’ trust beliefs in their firms’ major suppliers that influences their intended approach to conflict. Using survey data from 140 C‐level managers and business owners, the authors develop and test a model that differentiates between two attributional dimensions of trust (competence and goodwill) and the specific relational conditions that influence how these attributions operate. The results indicate that top managers’ trust in their suppliers’ competence and goodwill is, in fact, decisive in determining how they intend to approach conflict. Further, the authors demonstrate that a top manager's trust belief in the supplier's goodwill is of particular relevance in driving the top manager to cooperate in the face of conflict. However, this link seems to be contingent on the specific conditions of the buyer–supplier relationship in question.     

Cooperation and Knowledge Transfer within Buyer–Supplier Relationships: The Moderating Properties of Trust,Relationship Duration and Supplier Performance*

This paper examines the effect of relational factors on knowledge transfer within strategic buyer–supplier exchange. Prior research examining inter‐firm knowledge transfer has focused almost exclusively on horizontal forms of governance such as strategic alliances and joint ventures, whilst research on vertical forms, such as buyer–supplier relationships, is limited. We test the effect of four important relational properties: cooperation, trust, relationship duration and supplier performance. Quantitative data, gathered from 104 UK manufacturing firms in eight industry sectors, are used to analyse the hypothesized relationships through a moderated hierarchical regression model. Our study provides support for the importance of considering relational factors in the transfer of knowledge at the inter‐organizational level. In particular, the results indicate that knowledge transfer is positively influenced by the extent of cooperation, but that this relationship is moderated by the level of trust and the performance of the supplier firm. Managerial implications for these findings and future directions for research are then offered.     

企业网络中的信任机制及信任差异性分析

在网络式组织日益凸现的今天,信任被认为是企业之间合作的基础性建构,相互信任既是网络成员间互利互惠的需要,更是网络健康成长必不可少的行为路径和治理机制。本文对已有的信任观点做了比较、评价之后,在认知、情感以及行为三个维度上重新构建了信任理解的框架,并探讨了信任与合作、人际信任与组织间信任之间的关系;在对信任进行了净功能分析的基础之上,系统地讨论了信任差异性问题。     

基于SEM的B2C电子商务信任评价模型及算法

消费者信任对B2C型电子商务的成功起着非常重要的作用。本文通过结构方程模型(SEM)原理构建了消费者网上信任度指数评估模型,在单位结构变量的约束下,考虑误差方差。推导了应用偏最小二乘(PLS)估计算法的模型最佳迭代初值,提高了计算速度,说明了算法的收敛性。由此模型可以分析评价指标体系的各结构变量之间、结构变量与观测变量之间的相关关系；文中进一步给出了电子商务信任度指数计算公式,从而可以更有效地分析消费者网上交易的信任度,以便采取有效措施促进电子商务的发展。     

The Influence of Feelings While Driving Regular Cars on the Perception and Acceptance of Self‐Driving Cars

Self‐driving vehicles will affect the future of transportation, but factors that underlie perception and acceptance of self‐driving cars are yet unclear. Research on feelings as information and the affect heuristic has suggested that feelings are an important source of information, especially in situations of complexity and uncertainty. In this study (N = 1,484), we investigated how feelings related to traditional driving affect risk perception, benefit perception, and trust related to self‐driving cars as well as people's acceptance of the technology. Due to limited experiences with and knowledge of self‐driving cars, we expected that feelings related to a similar experience, namely, driving regular cars, would influence judgments of self‐driving cars. Our results support this assumption. While positive feelings of enjoyment predicted higher benefit perception and trust, negative affect predicted higher risk and higher benefit perception of self‐driving cars. Feelings of control were inversely related to risk and benefit perception, which is in line with research on the affect heuristic. Furthermore, negative affect was an important source of information for judgments of use and acceptance. Interest in using a self‐driving car was also predicted by lower risk perception, higher benefit perception, and higher levels of trust in the technology. Although people's individual experiences with advanced vehicle technologies and knowledge were associated with perceptions and acceptance, many simply have never been exposed to the technology and know little about it. In the absence of this experience or knowledge, all that is left is the knowledge, experience, and feelings they have related to regular driving.     

网络化组织形式中的信任构建——新制度主义视角

本文针对网络化组织的特征,分析了组织间合作的障碍以及由此产生的管理问题,探讨了关系型治理机制中信任对降低合作的复杂性以及规范合作者行为的促进作用,并在此基础上,考虑网络化组织间合作不同阶段的特点,提出了基于合作周期的三阶段信任建设模型.     

Trust,confidence, familiarity,and support for land-based recirculating aquaculture facilities

Surveys in three U.S. localities (n = 523) with proposed or existing land-based aquaculture facilities probed trust's relationship with perceived net benefits and public intentions to cooperate with siting of this novel technology. The trust, confidence, and cooperation (TCC) model posits that shared values shape willingness to be vulnerable to others (trust), while past performance shapes certainty that others will behave as expected (confidence). Trust affects confidence given moral outweighs performance information, possibly varying by familiarity. Other research suggests that trust shapes benefit and risk perceptions, which drive cooperation (defined here by potentially observable behavior: voting on siting, trying to influence government decisions directly or through citizen groups, and buying or eating facility fish). Confirmatory factor analyses suggested that a two-factor model fit the trust/confidence measures better than a one-factor model or a two-factor model without inter-factor correlation, indicating (despite a strong association of trust and confidence) that they are empirically distinct. Path analyses suggested that trust had stronger direct effects on cooperation than did confidence, reflecting the TCC notion that moral information underlying trust judgments is more influential, and stronger indirect effects through benefit-risk judgments. Model fit was better than if the benefit-risk mediator was omitted. Trust in government had a small direct effect on cooperation and confidence, but a large effect on trust in the corporation, and model fit was much worse if any of these paths was omitted. Low familiarity with the project lowered both model fit and trust–confidence association. We discuss implications for risk analysis theory and practice.     

基于信任和企业进入退出机制的产业集群规模演化研究

本文从信任演化的角度出发,以产业集群规模为研究对象,建立了基于信任和企业进入退出机制的演化模型,并利用计算机辅助语言,研究不同进入壁垒的集群规模演化的规律。结果发现,由于信任机制和进入壁垒对集群企业竞争与合作的调节作用,集群规模的演化呈现一定的规律性,演化过程可区分为生长、淘汰、震荡和稳定四个阶段,演化曲线呈倒"S"型,稳定成熟期规模的大小与进入壁垒的高低有关,且进入壁垒对企业进入和生存作用相反。     

An Assessment of Brand Experience Knowledge Literature: Using Bibliometric Data to Identify Future Research Direction

There is wide consensus that the brand experience literature (BEL) suffers from a deficit in conceptual works. This study argues that, for brand experience research to overcome its conceptual insipidity, it must re‐examine the core of its intellectual structure to rediscover what ‘an experience provided by brands’ truly implies. The purpose of this paper is to reconceptualize and present a future research framework for research into the concept of brand experience, by identifying both the core and peripheral sources of knowledge of the concept and its association with brand meaning. Through a bibliometric process covering 136 articles published between 2002 and 2018, resulting in a database of 2698 citations, this brand experience conceptual paper fills a critical research gap by providing the first full‐scale bibliometric study to date of the BEL, using a combination of high citation and co‐citation metrics. Based on this conceptual reorientation, a matrix for future development is presented, enabling the reader to visualize the scope and breadth of potential brand experience research horizons in areas relating to customer experience, consumer–brand relationship, online brand experience and sensory brand experience. The four approaches listed in the matrix – firm‐based, social constructionist, virtuality and embodiment – provide a roadmap for future brand experience research undertakings to explore the rich potential of experience evoked by brands.     

低聚度决策主体的信任元协同获取与位势演化

现有群体决策共识算法的研究普遍以主体均质化的假设为前提，忽略了低聚度决策信任共识获取的复杂性。针对低聚度决策主体在合作决策中存在的信任基础薄弱、冲突调节能力不足、有效沟通反馈效率低下等问题，解析了低聚度主体信任元的主客观内涵，展现了基于主体交互过程中主客观信任空间相对性下的动态信任融合过程，通过对非连续信任的归集与权重的转化，刻画了主体间信任水平与合作位势的演化特征，在群体研讨共识方法基础上构建了低聚度决策主体的信任元协同获取模型。对比结果表明：改进后模型的信任基础获取速度和共识水平均高于常规群体研讨方法，克服了原模型研究对象特征的模糊化、研讨内容系统性分析缺乏、研讨过程信息反馈不足等问题，有利于在低聚度主体合作决策中建立信任基础、减少分歧冲突、提高交互沟通的有效性，拓展了现有群体决策的一般性前提和研究范围，剖析了决策信任的主客观信任元内涵和伴生转化演化规律，为复杂松散不确定条件下信任共识的动态获取提供了新的解析模式，具有一定的理论和实践意义。     

Cooperating to Commercialize Technology: A Dynamic Model of Fairness Perceptions,Experience, and Cooperation

Technology entrepreneurship is an important driver of economic growth, although entrepreneurs must maintain cooperative ties with the owners of any technology they hope to bring to market. Existing studies show that fairness perceptions have a great influence on this cooperation, but no research investigates its precise mechanisms or dynamic patterns. This study explores the development of 17 ventures that cooperated with a university‐owner of technology and thereby identifies different cooperation patterns in which fairness perceptions influence the degree of cooperation. These perceptions also change over time, partly as a function of accumulated experience and learning. A system dynamics model integrates insights from existing literature with the empirical findings to reveal which cooperation mechanisms relate to venture development over time; the combinations of individual experience, fairness perceptions, and market circumstances lead to four different patterns. This model can explain changes in entrepreneurial cooperation as a result of changes in fairness perceptions, which depend on learning effects and entrepreneurial experience. Each identified cooperation pattern has implications for research and offers insights for practitioners who need to manage relationships in practice.     

Feedback Mechanisms,Judgment Bias,and Trust Formation in Online Auctions*

Online markets, like eBay, Amazon, and others rely on electronic reputation or feedback systems to curtail adverse selection and moral hazard risks and promote trust among participants in the marketplace. These systems are based on the idea that providing information about a trader's past behavior (performance on previous market transactions) allows market participants to form judgments regarding the trustworthiness of potential interlocutors in the marketplace. It is often assumed, however, that traders correctly process the data presented by these systems when updating their initial beliefs. In this article, we demonstrate that this assumption does not hold. Using a controlled laboratory experiment simulating an online auction site with 127 participants acting as buyers, we find that participants interpret seller feedback information in a biased (non‐Bayesian) fashion, overemphasizing the compositional strength (i.e., the proportion of positive ratings) of the reputational information and underemphasizing the weight (predictive validity) of the evidence as represented by the total number of transactions rated. Significantly, we also find that the degree to which buyers misweigh seller feedback information is moderated by the presentation format of the feedback system as well as attitudinal and psychological attributes of the buyer. Specifically, we find that buyers process feedback data presented in an Amazon‐like format—a format that more prominently emphasizes the strength dimension of feedback information—in a more biased (less‐Bayesian) manner than identical ratings data presented using an eBay‐like format. We further find that participants with greater institution‐based trust (i.e., structural assurance) and prior online shopping experience interpreted feedback data in a more biased (less‐Bayesian) manner. The implications of these findings for both research and practice are discussed.