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公司董事会属性、团队效能和财务绩效[文献翻译]

公司董事会属性、团队效能和财务绩效[文献翻译]
公司董事会属性、团队效能和财务绩效[文献翻译]

原文:

Corporate Board Attributes, Team Effectiveness and

Financial Performance

A Team-Based Model of Corporate Board Effectiveness

The existing literature examining teams and knowledge-based work groups demonstrates a causal link between team practices or attributes, effectiveness, and outcomes (Cohen and Bailey, 1997; Kirkman and Rosen, 1999; Marks et al., 2001). Extending on the literature regarding team effectiveness, some governance scholars have started to focus on managerial competence and empowerment arguments to help explain organizational performance differences (Davis et al., 1997; Hendry, 2002; Shen, 2003). In their seminal theoretical work, Forbes and Milliken (1999) integrated literature on corporate boards and team effectiveness arguing that board effectiveness is identified by the same criteria as many previous models of team effectiveness. Further, they suggest that the various board demographics typically used in board research, such as insider/outsider ratio, board size, and tenure, are expected to influence overall team effectiveness independently. Similarly, Sonnenfeld (2002) describes effective boards as being distinguished by ‘robust, effective social systems’ and contends that board demographics between Forbes Magazine’s (2001) most-admired and least-admired companies are actually similar. This suggests that structural characteristics in and of themselves do not differentiate between high-performing and low-performing boards. Sonnenfeld (2002, p. 106) goes on to state, ‘We need to consider not only how we structure the work of a board but also how we manage the social system a board actually is.’ This is consistent with the conclusion of Papadakis et al. (1998) that decision-specific and relationship attributes, rather than board demographics, represent the greatest influence on the strategic decision-making process.

Drawing from both the corporate board and groups/teams research, we argue that the same conditions enabling workgroups to achieve their goals should be related to corporate board effectiveness. Others have acknowledged this relationship, but in a

less explicit way (e.g. Daily et al., 2003; Finkelstein and Hambrick, 1996; Finkelstein and Mooney, 2003; Huse, 2005; Sonnenfeld, 2004a). So rather than develop an original model of boards as teams, we apply previous research on the attributes of highper forming teams to boards of directors (Mohrman et al., 1995). Hence, we recognize that the relationships between group inputs, processes and outcomes depend on factors that are specific to the type of group under study and the specific criteria of effectiveness that are being considered (Forbes and Milliken, 1999; Mathieu et al., 2008).

We apply a model of group effectiveness that fits within a larger framework that has dominated groups and teams research for decades (Cohen and Bailey, 1997; Mathieu et al., 2008). Although it has been modified and extended over the years, the basic input–process–output model (IPO) holds that contextual factors and other individual and team level antecedents ‘enable and constrain’ (p. 412) team member interactions and define team processes which in turn drive task effectiveness (Mathieu et al., 2008). In this study, we focus on team inputs using an established model derived from years of research on employee participation and involvement (Cotton, 1993; Galbraith, 1973; Lawler, 1986; Vandenberg et al., 1999). Specifically, we draw upon Mohrman et al.’s (1995) model of team effectiveness, which is based on five key attributes of highperforming groups, and has been previously applied to corporate boards (Conger et al., 2001). The key attributes highlighted in this model include: (1) knowledge that is closely aligned with the organization’s needs and requirements; (2) current and comprehensive information drawn from multiple sources and perspectives;

(3) sufficient power to reach independent decisions, as well as to evaluate and challenge the CEO; (4) sufficient incentives, typically achieved through rewards systems to align directors’ and owners’interests; and (5) sufficient opportunity and time for the board and committees to prepare for and complete tasks.

By applying this established model of group effectiveness we hope to contribute to our understanding of corporate boards in several ways. First is to empirically demonstrate that board effectiveness is related to the same team inputs that have been shown to impact group performance in other contexts. Second is to provide an

integrative framework for the existing research on board characteristics and test their relationship to actual board task performance. While many of these attributes have been examined independently for their relationships to firm financial performance, we test them together for their relationships to board performance as rated by directors themselves. In the following paragraphs, we draw on multiple theoretical perspectives to discuss each of these five team attributes and present hypotheses about their relationship to overall board effectiveness.

Knowledge and board effectiveness. Board research has long recognized the importance of directors’ abilities, judgment, experience, and knowledge to effective governance (e.g. Copeland and Towl, 1947). Coming from a resource dependence view of corporate boards, knowledge has most often been conceptualized as the stock of information or background expertise that directors possess in aggregate. These areas of expertise contribute to overall cognitive resources and enhance the scope and quality of the board’s decisions and its effectiveness (Hillman and Dalziel, 2003; O’Neal and Thomas, 1996). Given that direct measurement of board knowledge is extremely difficult to obtain, various studies have used a number of different proxies as measures of board strategic and operational knowledge over the years. These include board interlocks (Haunschild and Beckman, 1998), board member functional background (Carpenter and Westphal, 2001), and board tenure (Golden and Zajac, 2001; Westphal and Zajac, 1995).

While these various measures of board knowledge are important, research also indicates that the ability to translate board knowledge into good strategic decisions depends on several moderating factors. There should be sufficient diversity among board members to promote discussion of a wide range of options (Hillman et al., 2002), the group norms and process contribute to the open airing of opinions (Sonnenfeld, 2002), and most importantly, the benefits of specific types of knowledge are context specific. For example, Carpenter and Westphal (2001) found that board experience and expertise with specific challenges facing a company (such as an unstable competitive environment or a takeover bid) improved monitoring as well as advice and counsel. This, in turn, improves firm performance in specific contexts.

Board Effectiveness and Firm Performance

Prior research on corporate governance has suggested multiple ways in which boards may contribute to organizational effectiveness (e.g. Conger et al., 2001; Forbes and Milliken, 1999). From a resource dependence perspective, effective boards strengthen ties with the external environment by generating business ties and maintaining a positive corporate image (Bazerman and Schoorman, 1983). Effective boards are also thought to contribute to the development of better organizational strategies. Johnson et al. (1996) argue that effective boards allow top managers to tap the breadth of knowledge possessed by outside directors to complement the depth of firm-specific knowledge of executives. Using a collaborative approach, boards are given the ability to advise, deliver feedback, and enhance strategy formulation (Sundaramurthy and Lewis, 2003; Westphal, 1999).

From an agency/control perspective, effective boards provide a necessary check on top management (Dalton and Kesner, 1985), providing oversight and tying executive rewards to performance (Sundaramurthy and Lewis, 2003). Generally speaking, boards are expected to evaluate company and CEO performance and take action when needed to protect shareholder interests (Golden and Zajac, 2001). Thus, board effectiveness across a broad range of roles, including collaboration and control mechanisms, should be related to company performance (Cohen and Bailey, 1997; Sundaramurthy and Lewis, 2003).

There is an extensive literature on corporate boards that has examined a number of board actions to determine whether boards are behaving effectively from a shareholder perspective, including studies of CEO compensation, the adoption of poison pills, adoption of greenmail and other anti-takeover provisions (e.g. Conyon and Peck, 1998; Frankforter et al., 2000). However, we know of no previous studies which have been able to directly measure board effectiveness from inside the boardroom in a way that might be used to directly examine the theoretical ‘black box’ between board practices or attributes and performance. Given the number of previous studies that have tied many of the aforementioned board attributes to company performance, we expect that board effectiveness will actually act as a mediator of the

board attributes–performance relationships that have been extensively studied by governance scholars.

Moreover, we suggest that examining these attributes together, based on theory derived from research on effective teams, has the advantage of potentially integrating this vast set of studies into a more coherent story of how the practices work together to support better corporate governance. For example, Roberts et al. (2005) argue that a prerequisite for effective boards is for directors to become engaged in carrying out their various responsibilities to the company. This requires a significant time commitment to learn and keep up with the various intricacies of the company’s operations and time is a serious constraint for most directors (Carter and Lorsch, 2004; Lorsch and MacIver, 1989). Shen (2005) supports this argument but suggests that without appropriate incentives in place the likelihood of directors willingly putting in the time to adhere to their duties is low.

This mediating role of board effectiveness is implied in previous boards research although not empirically tested. For instance, Golden and Zajac (2001) show that board demography and processes significantly affect strategic change. This essentially implies that board attributes impact board effectiveness, leading to higher-quality strategic decisions and higher levels of organizational performance. Similarly, Forbes and Milliken’s (1999) comprehensive theoretical model shows how board task performance (i.e. board effectiveness) acts as a mediator, or intervening construct, between board processes and firm performance. Further, they argue that board characteristics are antecedents to task performance. Following these arguments and the many previous studies on corporate governance demonstrating the importance of boards of directors to the successful operation of the corporation (Baysinger and Butler, 1985), we propose two more hypotheses:

Hypothesis 1: Corporations with more effective boards will demonstrate higher levels of financial performance.

Hypothesis 2(a–e): Board effectiveness mediates the relationship between board attributes – (a) knowledge, (b) information, (c) power, (d) incentives, (e) opportunity/ time – and the financial performance of the company.

Taken together, the seven hypotheses discussed above test the comprehensive model that boards with sufficient knowledge, information, power, incentives, and opportunity/ time are more likely to be effective, and more effective boards will be associated with superior corporate performance. Figure 1 visually demonstrates the overall model.

Sample and Data Collection

To minimize the effects of method variance, each stage of the hypothesized model was operationalized using various types of survey and/or archival data. The data for some of the board attributes and the effectiveness measure were drawn from an annual written survey of the directors of all Fortune 1000 companies conducted by Korn/Ferry International, an international executive search firm, in conjunction with the Center for Effective Organizations at the University of Southern California. Data were taken from the survey of 1996 boards in which 1151 chief executives, inside directors, and outside directors responded.

Survey data were then matched with archival data on boards taken from proxy statements filed with the Securities and Exchange Commission (SEC), the Institutional Brokers Estimate System (IBES), and the Investor Responsibility Research Center (IRRC), which publishes detailed listings of corporate governance provisions for individual firms. The IRRC data are derived from several sources, including corporate bylaws and charters, proxy statements, annual reports, and 10-K and 10-Q documents filed with the SEC. Finally, company performance data were taken from the COMPUSTAT database for years 1995–98.

In order to match the survey data with archival information, company names were recorded for as many respondents as possible using two different methods. Directors were asked to give the name of the company for the board that they described in the survey, but this question was strictly optional. Second, company names were taken from the return address on the envelopes in which the director returned the survey. Due to specific instructions on the survey, this method was only used when the respondent self-identified as an inside director of a firm.[2] This process originally identified 420 board members from 335 different publicly-traded

companies.

In cases where there were multiple respondents from the same company, one was chosen at random to represent that particular board. There were 71 companies for which there were two or more respondents. Fifty-seven of these had only two respondents, with a maximum of five directors responding from a single board. An evaluation of the inter-rater reliability between respondents from the same company was made with the 71 boards that could be identified as having multiple respondents. Paired sample t-tests indicated that one group of 71 responses could not be distinguished from a second group. Overall, directors from the same company agreed 64–84 per cent of the time, depending on the particular question. There were 39 companies for which complete data were available for all 11 items used to measure board effectiveness from two directors. Even with a small sample of repeat responses we were able to find significant association between the respondents.

Source:G. Tyge Payne,George S, Benson and David L.Finegold,2009. “Corporate Board Attributes, Team Effectiveness and Fin ancial Performance”. Journal of Management Studies,pp.11

译文:

公司董事会属性、团队效能和财务绩效

基于团队的董事会效率模型

现有研究团队和基于知识的工作小组的文献表明,团队之间的行为或属性,效能与结果之间存在因果关系(Cohen 和Bailey, 1997; Kirkman 和Rosen, 1999; Marks 等, 2001)。在团队效能研究的拓展方面,一些管理学者已经开始关注管理能力和赋能,以解释组织绩效的差异(Davis et al., 1997; Hendry, 2002; Shen, 2003)。Forbes and Milliken(1999)整合了企业董事会和团队效能方面的研究,认为董事会的有效性确定标准与以前许多的团队效能标准相同。此外,他们建议董事会人口通常在董事会研究中使用,例如内幕或是董事会人口的比例,董事会规模,以及任期,预计都将影响整体团队效能的独立。同样,Sonnenfeld(2002)介绍指出,杰出有效的董事会能作为‘稳健,有效的社会制度’,并认为福布斯杂志(2001)最欣赏和最不尊敬的公司董事会人口实际上是相似的。这就表明,其本身的结构特点并没有区分高绩效和低绩效的董事会。Sonnenfeld(2002, P106)指出:“我们需要考虑的不仅是我们如何组织了一个董事会的工作,实际上也要知道如何管理我们的一个董事会制度。”这是与Papadakis等人的结论是一致的。Papadakis等(1998)提出了这个决定的具体属性和关系,而不是董事会人口,表明这在战略决策过程的影响最大。

借鉴于对公司董事会和团队的研究,我们认为,在相同的条件下,为了使工作组实现他们的目标应该与公司董事会的有效性相联系。其他人也承认这种关系,但用的是一个不太明显的方式(例如Daily 等, 2003; Finkelstein 和Hambrick, 1996; Finkelstein 和Mooney, 2003; Huse, 2005; Sonnenfeld, 2004)。因此,不是作为一个团队开发董事会的原始模型,我们采用的是对以往高层董事会的属性的研究(Mohrman,1995)。因此,针对所研究型组和有效性正在考虑的具体标准,我们认识到,投入、过程和结果的关系受多种因素的影响。(Forbes 和Milliken, 1999; Mathieu等, 2008)。

我们采用团队效能的模型,即适合在一个较大的框架内,占据主导地位的团队几十年来的研究模型(Cohen 和Bailey, 1997; Mathieu等, 2008)。虽然经过这么多年,它已被修改,但该模型的基本内容(IPO)认为,环境因素以及其他个

人和队伍等级前提是‘启用和约束’(第412页),以及团队成员的互动过程,并反过来确定团队这激励任务的成效((Mathieu等,2008)。在这项研究中,我们注重建立团队投入使用的模型,从而从多年的员工参与和研究中,推导参与制度(Cotton, 1993; Galbraith, 1973; Lawler, 1986; Vandenberg 等, 1999)。具体来说,我们借鉴Mohrman(1995)团队效率,这是基于五个关键属性的高层组,并已应用到公司董事会此前的模型(Conger等,2001)。在这个模型中,突出的关键属性包括:(1)知识是需要密切与组织的要求保持一致;(2)现行的观点和全面的信息,从多个来源绘制;(3)有足够的权力,达到独立决定,以及评估和挑战的CEO;(4)有足够的激励,通常是通过奖励系统达到对董事及业主的利益;(5)充分的机会,为董事会和委员会的时间来准备和完成任务。

通过应用这一团队的成效,我们希望在既定模式的几个方面作出贡献以及我们对公司董事会的理解。首先,经验表明,董事会效率是关系到同一个团队,已被证实在其他公司投入表现方面产生影响。其次,董事会特征提供了一个综合框架,研究和测试他们现有的实际董事的工作绩效的关系。虽然他们这些公司的业绩关系属性有很多已经过独立审查,但我们一起测试他们性能的关系,是作为董事会对董事本身评级。在下面的段落中,我们借鉴多种角度理论来讨论这五个小组的属性,并询问其董事会整体效益的关系。

知识和董事会的有效性。长期以来,董事会研究一直承认董事的能力、判断、经验、有效治理和知识的重要性。(如Copeland和Towl,1947年)。公司董事会从资源依赖的观点看,董事合共持有的知识作为最经常被概念化的信息或背景知识存量。这些领域的专业知识有助于整体认知资源,提高规模和董事会的决定和其成效(Hillman 和Dalziel, 2003; O’Neal 和Thomas, 1996)的质量。鉴于董事会所知,获得直接测量是非常困难的,各种研究已经使用了多年不同的代理,作为董事会战略措施和操作知识。这些措施包括董事联结(Haunschild和Beckman,1998),董事会成员的功能背景(Carpenter和Westphal,2001),和董事会使用权(Golden和Zajac, 2001; Westphal 和Zajac,1995)。

这些不同董事会的知识是重要的措施。研究还表明,董事会知识转化为良好的战略决策依靠知悉若干干扰因素而定。董事会成员之间应该有足够的多样性,能促进多种选择的讨论(Hillman等,2002年),团队规范和流程有助于意见公

开宣布(Sonnenfeld,2002),最重要的好处时具体的知识类型上下文相关。例如,Carpenter和Westphal(2001)发现,董事会成员的经验,面临公司(如竞争环境不稳定或收购)的具体挑战的专业知识以及改进监测作为指导和建议,这反过来又提高了企业在特定情况下的性能。

董事会效率与公司绩效

在此之前对公司治理的研究已经表明多种方法,董事会可能有助于组织效能(如Conger 等, 2001;Forbes 和Milliken, 1999)。从资源依赖的角度看,产生有效的董事会需要加强业务联系并保持良好的企业形象(Bazerman和Schoorman,1983)以及与外部环境的关系。有效的董事会效益也被认为有助于提高组织的战略。约翰逊等人(1996)认为,有效的董事会允许高层管理人员挖掘外部董事所具备的补充企业特有的知识深度和广度管理人员。用合作的方式,董事会给出能力和指导,并提供反馈,从而增强战略制定(Sundaramurthy 和Lewis, 2003; Westphal, 1999)。

从机构/控制的角度,提供了一个有效的董事会高层管理人员(Dalton 和Kesner, 1985),提供监督和必要的检查搭售行政奖励与业绩(Sundaramurthy 和Lewis, 2003)。一般而言,董事会预计公司和经营者业绩评价和在必要时采取行动,以保障股东利益(Golden和Zajac,2001)。因此,在董事会的角色,包括协作和控制机制,广泛的成效,应与公司业绩相联系。(Cohen a和Bailey,1997; Sundaramurthy和Lewis,2003)。

有一个广泛的文献在企业董事会已审查了董事会的一些行动,以确定是否有效地从股东行为的角度来看,包括总裁的薪酬,讹诈和其他反收购条款的规定(例如,Conyon a和Peck, 1998;Frankforter 等, 2000)。但是,我们不知道这已经能够从内部直接测量的方式测量董事会,而董事会效益以往的研究,可直接用于检验的“黑匣子”在董事会常规或属性和性能之间的理论。鉴于以往的一些研究已经联系了上述董事会对公司业绩的许多属性,我们预计董事会效益,实际上充当董事会属性和绩效的关系的中间人,被广泛的治理学者所研究。

此外,我们建议把这些属性集合在一起研究,那么基于高效的团队从研究得出的理论具有潜在的整合优势,这一庞大的研究将使如何协同工作的做法变成更为连贯的故事来更好地支持公司治理。例如,罗伯茨等人(2005)认为,一个有

效的董事会董事的先决条件是为公司履行各项职责。这需要大量的时间投入到学习,加上公司的业务和各种位,董事心甘情愿把时间投入、坚持自己的职责的可能性并不高。

这种董事会效能的中介作用,是隐含在以前没有实证检验的董事会研究中。例如,Golden和Zajac(2001)表明,董事会人口和进程会产生重大的战略性转变。这实质上意味着董事会影响董事会效益的属性,从而产生更高质量的战略决策和组织性能更高的水平。同样,福布斯和米利肯公司(1999)全面的理论模型显示了如何充当中间人协调委员会任务的性能(即董事会效益),或介入建设董事会与公司业绩的过程。此外,他们认为,董事会特征是任务绩效的原因。以下这些参数和以往许多关于公司治理的研究表明了董事会对公司运作的重要性,(Baysinger 和Butler, 1985),我们提出两个假设:

假设1:公司的更有效的董事会效益将展示更高层次的财务表现。

假设2(A至E):董事会效能介于3董事会属性之间的关系——(一)知识,(二)信息,(三)电力,(四)奖励,(五)机会/时间和公司的财务表现。

两者合计,以上七个假设讨论检验的综合模型有足够的知识,信息,电力,奖励和机会,时间可能是更有效的,还有更有效的董事会与卓越的公司业绩。样品和数据采集

为了尽量减少方法差异的影响,每个阶段的操作性假设模型使用不同类型的调查或存档的数据。这些为董事会的属性和效益措施的有效性得出的数据,来自每年财富1000的所有受科恩/费里国际,国际猎头公司进行书面调查公司的董事,结合南加利福尼亚大学有效组织研究中心。数据取自1996年的董事会中,1151年行政首长,内部董事和外部董事的调查作出回应。

调查数据,然后再配上从美国证券交易委员会(SEC),预算的制度经纪系统(IBES),与投资者责任研究中心(IRRC)在董事会上提交的代理声明的档案资料,该公司出版的详细清单的企业采取董事会提交委托书档案数据个别企业管治的条款。该IRRC数据有多个来源,包括公司章程和规定,代理报表,年度报告和10 - K表和10 - Q文件,提交给美国证券交易委员会备案。最后,公司业绩数据取自1995年—1998年的COMPUSTAT数据库。

为了配合档案信息的调查数据,公司名称被尽可能使用两种不同的方法去录

用许多的受访者。董事被要求为董事会给予该公司的的名称,于是,他们描述在调查中所获得的名称,而这个情况是可选的。第二,公司名称取自在信封上的董事选举产生的调查返回地址。由于这么做要对调查作出具体说明,故这种方法只适用于当被告作为一个公司的内部董事。通过这个过程可以从335家不同的公开上市的公司中确定最初的420位董事会成员。

在档案资料那里有来自同一公司的多个受访者,从中随意选择一人代表该董事会。其中,有71家公司有两个或更多的受访者。而这中间的七分之五是只有两个受访者,其余中的一个由五名董事的单独董事会响应最大。这71家公司中,从同一家公司的受访者中做出的信用评价,可确定有多个受访者的公司。配对样本t检验表明,第一组71个回应有别于第二组。整体而言,来自同一家公司董事的64%-84%同意的时候,就视具体问题而定。共有39家公司用其完整的11项数据来衡量两个董事会的实效性。即使是一个小样本的重复的反应,我们能够找到受访者之间显示的相关性。

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