信息技术、政治制度与广义信任:使用结构方程模型的实证评估

Blaine G. Robbins, M. Grigoryeva
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The study shows with structural equation models that what accounts for the technology-trust relationship is not necessarily the public allocation of resources or political mechanisms of sharing power, but the incentive structures found in effective and efficient legal institutions that reduce uncertainty and increase generalized trust. The paper concludes by outlining the implications and directions for future research. DOI: 10.4018/jdtis.2010040103 56 International Journal of Dependable and Trustworthy Information Systems, 1(2), 55-69, April-June 2010 Copyright © 2010, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Nannestad (2008) recently noted that the determinants of trust can generally be categorized within four broad explanations—institutions (Delhey & Newton, 2005; Knack & Keefer, 1997), social relationships (Putnam, 2000), homophily (Brewer, 1981; Putnam, 2007), and cultural values (Uslaner, 2000)—relatively little attention has been paid to the role that information technology plays in producing trust. In an attempt to address this empirical void, Robbins and Grigoryeva (2010) tested a new institutional model of trust (Greif, 2006; North, 1990), while contrasting this approach with divergent predictions from an overjustification and crowding perspective (Mulder, Dijk, De Cremer, & Wilke, 2006; Deci, Koestner, & Ryan, 1999). They found with structural equation models (SEM) that political institutions foster generalized trust, and to the extent that technology encourages generalized trust, it does so indirectly, operating through political institutions. They suggest that the effect of political institutions is observed because technology alters relative prices and/ or strengthens monitoring and sanctioning capacity. This promotes the emergence and expansion of political institutions that then reduce perceived uncertainty and cultivate trust. While this is a key contribution to the generalized trust literature, we argue that it is difficult to determine, with their current measurement of “formal institutions”, which elements of the state mediate the technologytrust relationship. In this vein, we place political institutions at the center of our analysis and attempt to disentangle the features of political institutions that account for how information technology produces trust. Our hypotheses follow that political institutions contribute to the development of trust when individuals perceive them to be effective and efficient at punishing and sanctioning noncooperative behavior, universalistic in their public allocation of resources, and power-sharing among political winners and losers as well as minority groups. We argue, however, that only two of which are dependent on information technology: effectiveness and power-sharing. This is because information technology increases the enforcement capacity of political institutions; facilitates local collective action and civic engagement that then leads to the diffusion of power and the development of democratic institutions; and does not either increase or decrease the amount of resources political institutions allocate to the public. The data for our analysis comes from the World Values Survey (1999-2001) of 57 countries and from other country-level data sources, such as the World Bank. We use structural equation models to test these hypotheses and find that while the universality of political institutions are associated with generalized trust, only the effectiveness of legal property rights institutions and contract enforcement significantly mediate the relationship between information technology and generalized trust. The remaining paper is organized as follows. In the next section of this paper we introduce the dependent variable and define generalized trust. The hypotheses linking information technology to political institutions to generalized trust are presented in the following section. The next section outlines the data and the methodology used. Finally, we summarize the findings, discuss the implications, and outline directions for future research in the discussion and conclusion. generAlIzed trust—the dePendent VArIAble Trust is usually classified along two dimensions: rational choice or norm-based, and particularized or generalized. Rational choice, or strategic, trust is both cognitive, relational, and situational, where i must believe that j takes i’s interests into account under uncertain condition y (Cook, Hardin, & Levi, 2005). For instance, I may trust a lawyer for legal advice but I will not trust a lawyer to perform surgery on my child. Norm-based, or moralistic, versions of trust, on the other hand, conceptualize trust as a moral or personal attribute of individuals, where trust is a product of the value-system and cultural milieu in which individuals are embedded (Durkheim, 1893, 1984; Mansbridge, 1999; Uslaner, 2002). 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Drawing on new institutional economics, political culture, and theories of the welfare state, the authors derive a number of hypotheses connecting information technology to generalized trust vis-à-vis elements of the state. The study shows with structural equation models that what accounts for the technology-trust relationship is not necessarily the public allocation of resources or political mechanisms of sharing power, but the incentive structures found in effective and efficient legal institutions that reduce uncertainty and increase generalized trust. The paper concludes by outlining the implications and directions for future research. DOI: 10.4018/jdtis.2010040103 56 International Journal of Dependable and Trustworthy Information Systems, 1(2), 55-69, April-June 2010 Copyright © 2010, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Nannestad (2008) recently noted that the determinants of trust can generally be categorized within four broad explanations—institutions (Delhey & Newton, 2005; Knack & Keefer, 1997), social relationships (Putnam, 2000), homophily (Brewer, 1981; Putnam, 2007), and cultural values (Uslaner, 2000)—relatively little attention has been paid to the role that information technology plays in producing trust. In an attempt to address this empirical void, Robbins and Grigoryeva (2010) tested a new institutional model of trust (Greif, 2006; North, 1990), while contrasting this approach with divergent predictions from an overjustification and crowding perspective (Mulder, Dijk, De Cremer, & Wilke, 2006; Deci, Koestner, & Ryan, 1999). They found with structural equation models (SEM) that political institutions foster generalized trust, and to the extent that technology encourages generalized trust, it does so indirectly, operating through political institutions. They suggest that the effect of political institutions is observed because technology alters relative prices and/ or strengthens monitoring and sanctioning capacity. This promotes the emergence and expansion of political institutions that then reduce perceived uncertainty and cultivate trust. While this is a key contribution to the generalized trust literature, we argue that it is difficult to determine, with their current measurement of “formal institutions”, which elements of the state mediate the technologytrust relationship. In this vein, we place political institutions at the center of our analysis and attempt to disentangle the features of political institutions that account for how information technology produces trust. Our hypotheses follow that political institutions contribute to the development of trust when individuals perceive them to be effective and efficient at punishing and sanctioning noncooperative behavior, universalistic in their public allocation of resources, and power-sharing among political winners and losers as well as minority groups. We argue, however, that only two of which are dependent on information technology: effectiveness and power-sharing. This is because information technology increases the enforcement capacity of political institutions; facilitates local collective action and civic engagement that then leads to the diffusion of power and the development of democratic institutions; and does not either increase or decrease the amount of resources political institutions allocate to the public. The data for our analysis comes from the World Values Survey (1999-2001) of 57 countries and from other country-level data sources, such as the World Bank. 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Rational choice, or strategic, trust is both cognitive, relational, and situational, where i must believe that j takes i’s interests into account under uncertain condition y (Cook, Hardin, & Levi, 2005). For instance, I may trust a lawyer for legal advice but I will not trust a lawyer to perform surgery on my child. Norm-based, or moralistic, versions of trust, on the other hand, conceptualize trust as a moral or personal attribute of individuals, where trust is a product of the value-system and cultural milieu in which individuals are embedded (Durkheim, 1893, 1984; Mansbridge, 1999; Uslaner, 2002). 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引用次数: 3

摘要

在最近的一项研究中,作者通过结构方程模型揭示了信息技术对广义信任的积极影响是由政治制度介导的。虽然很有见地,但一个关键问题仍然存在:是国家的效力和效率、普遍性和/或权力分享能力促成了这种效果吗?利用新的制度经济学、政治文化和福利国家理论,作者得出了一些假设,将信息技术与对-à-vis国家要素的普遍信任联系起来。该研究通过结构方程模型表明,技术-信任关系的原因不一定是公共资源配置或权力分享的政治机制,而是有效和高效的法律制度中的激励结构,这些制度可以减少不确定性并增加普遍信任。文章最后提出了未来研究的意义和方向。DOI: 10.4018 / jdtis。2010040103 56国际可靠与可信信息系统学报,1(2),55-69,2010年4月版权所有©2010,IGI Global。未经IGI Global书面许可,禁止以印刷或电子形式复制或分发。Nannestad(2008)最近指出,信任的决定因素通常可以分为四大类解释——机构(Delhey & Newton, 2005;Knack & Keefer, 1997),社会关系(Putnam, 2000),同质性(Brewer, 1981;Putnam, 2007)和文化价值观(Uslaner, 2000)——相对而言,很少有人关注信息技术在产生信任方面所起的作用。为了解决这一实证空白,Robbins和Grigoryeva(2010)测试了一种新的信任制度模型(Greif, 2006;North, 1990),同时将这种方法与过度合理化和拥挤观点的不同预测进行了对比(Mulder, Dijk, De Cremer, & Wilke, 2006;Deci, Koestner, & Ryan, 1999)。他们通过结构方程模型(SEM)发现,政治制度促进了普遍信任,而在某种程度上,技术鼓励了普遍信任,它通过政治制度间接地起作用。他们认为,由于技术改变了相对价格和/或加强了监测和制裁能力,因此可以观察到政治制度的影响。这促进了政治制度的出现和扩张,从而减少了感知到的不确定性,培养了信任。虽然这是对广义信任文献的关键贡献,但我们认为,很难确定,以他们目前对“正式制度”的测量,国家的哪些要素调解了技术信任关系。本着这种思路,我们将政治制度置于我们分析的中心,并试图理清政治制度的特征,这些特征解释了信息技术如何产生信任。我们的假设是,当个人认为政治制度在惩罚和制裁非合作行为方面是有效和有效的,在公共资源分配方面是普遍的,在政治赢家和输家以及少数群体之间分享权力时,政治制度有助于信任的发展。然而,我们认为,其中只有两个依赖于信息技术:效率和权力分享。这是因为信息技术提高了政治机构的执行能力;促进地方集体行动和公民参与,从而导致权力的扩散和民主制度的发展;既不会增加也不会减少政治机构分配给公众的资源。我们分析的数据来自57个国家的《世界价值观调查》(1999-2001年)和世界银行等其他国家级数据来源。我们使用结构方程模型对这些假设进行检验,发现虽然政治制度的普遍性与广义信任相关,但只有法律产权制度和契约执行的有效性显著地中介了信息技术与广义信任的关系。余下的论文组织如下。在本文的下一节中,我们引入因变量并定义广义信任。将信息技术与政治制度和普遍信任联系起来的假设将在下一节中提出。下一节概述了所使用的数据和方法。最后,我们在讨论和结论部分总结了研究结果,讨论了研究的意义,并提出了未来的研究方向。广义信任—因变量信任通常分为两个维度:理性选择或基于规范的信任;特殊化信任或广义信任。 理性选择或战略信任是认知的、关系的和情境的,我必须相信j在不确定的条件下会考虑到i的利益(Cook, Hardin, & Levi, 2005)。例如,我可能会相信律师的法律建议,但我不会相信律师给我的孩子做手术。另一方面,基于规范的或道德主义的信任版本,将信任概念化为个人的道德或个人属性,其中信任是个人嵌入的价值体系和文化环境的产物(迪尔凯姆,1893,1984;Mansbridge, 1999;Uslaner, 2002)。在这种情况下,信任是非战略性的,而且往往是无条件的。本文档的完整版还有13页,可通过产品网页上的“添加到购物车”按钮购买:www.igi-global.com/article/information-technology-politicalinstitutions-generalized/46938?camid=4v1本标题可在InfoSci-Journals、InfoSci-Journal journals、计算机科学、安全和信息技术中找到。向您的图书管理员推荐此产品:www.igi-global.com/e-resources/libraryrecommendation/?id=2
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information Technology, Political Institutions, and Generalized Trust: An Empirical Assessment Using Structural Equation Models
In a recent study, the authors reveal with structural equation models that the positive effect of information technology on generalized trust is mediated by political institutions. Although insightful, a key question remains: Is it the effectiveness and efficiency, the universality, and/or the power-sharing capacity of the state that mediates this effect? Drawing on new institutional economics, political culture, and theories of the welfare state, the authors derive a number of hypotheses connecting information technology to generalized trust vis-à-vis elements of the state. The study shows with structural equation models that what accounts for the technology-trust relationship is not necessarily the public allocation of resources or political mechanisms of sharing power, but the incentive structures found in effective and efficient legal institutions that reduce uncertainty and increase generalized trust. The paper concludes by outlining the implications and directions for future research. DOI: 10.4018/jdtis.2010040103 56 International Journal of Dependable and Trustworthy Information Systems, 1(2), 55-69, April-June 2010 Copyright © 2010, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Nannestad (2008) recently noted that the determinants of trust can generally be categorized within four broad explanations—institutions (Delhey & Newton, 2005; Knack & Keefer, 1997), social relationships (Putnam, 2000), homophily (Brewer, 1981; Putnam, 2007), and cultural values (Uslaner, 2000)—relatively little attention has been paid to the role that information technology plays in producing trust. In an attempt to address this empirical void, Robbins and Grigoryeva (2010) tested a new institutional model of trust (Greif, 2006; North, 1990), while contrasting this approach with divergent predictions from an overjustification and crowding perspective (Mulder, Dijk, De Cremer, & Wilke, 2006; Deci, Koestner, & Ryan, 1999). They found with structural equation models (SEM) that political institutions foster generalized trust, and to the extent that technology encourages generalized trust, it does so indirectly, operating through political institutions. They suggest that the effect of political institutions is observed because technology alters relative prices and/ or strengthens monitoring and sanctioning capacity. This promotes the emergence and expansion of political institutions that then reduce perceived uncertainty and cultivate trust. While this is a key contribution to the generalized trust literature, we argue that it is difficult to determine, with their current measurement of “formal institutions”, which elements of the state mediate the technologytrust relationship. In this vein, we place political institutions at the center of our analysis and attempt to disentangle the features of political institutions that account for how information technology produces trust. Our hypotheses follow that political institutions contribute to the development of trust when individuals perceive them to be effective and efficient at punishing and sanctioning noncooperative behavior, universalistic in their public allocation of resources, and power-sharing among political winners and losers as well as minority groups. We argue, however, that only two of which are dependent on information technology: effectiveness and power-sharing. This is because information technology increases the enforcement capacity of political institutions; facilitates local collective action and civic engagement that then leads to the diffusion of power and the development of democratic institutions; and does not either increase or decrease the amount of resources political institutions allocate to the public. The data for our analysis comes from the World Values Survey (1999-2001) of 57 countries and from other country-level data sources, such as the World Bank. We use structural equation models to test these hypotheses and find that while the universality of political institutions are associated with generalized trust, only the effectiveness of legal property rights institutions and contract enforcement significantly mediate the relationship between information technology and generalized trust. The remaining paper is organized as follows. In the next section of this paper we introduce the dependent variable and define generalized trust. The hypotheses linking information technology to political institutions to generalized trust are presented in the following section. The next section outlines the data and the methodology used. Finally, we summarize the findings, discuss the implications, and outline directions for future research in the discussion and conclusion. generAlIzed trust—the dePendent VArIAble Trust is usually classified along two dimensions: rational choice or norm-based, and particularized or generalized. Rational choice, or strategic, trust is both cognitive, relational, and situational, where i must believe that j takes i’s interests into account under uncertain condition y (Cook, Hardin, & Levi, 2005). For instance, I may trust a lawyer for legal advice but I will not trust a lawyer to perform surgery on my child. Norm-based, or moralistic, versions of trust, on the other hand, conceptualize trust as a moral or personal attribute of individuals, where trust is a product of the value-system and cultural milieu in which individuals are embedded (Durkheim, 1893, 1984; Mansbridge, 1999; Uslaner, 2002). Under these conditions, trust is non-strategic and often unconditional. 13 more pages are available in the full version of this document, which may be purchased using the "Add to Cart" button on the product's webpage: www.igi-global.com/article/information-technology-politicalinstitutions-generalized/46938?camid=4v1 This title is available in InfoSci-Journals, InfoSci-Journal Disciplines Computer Science, Security, and Information Technology. Recommend this product to your librarian: www.igi-global.com/e-resources/libraryrecommendation/?id=2
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