• 沒有找到結果。

組織中知識獲取及知識分享的前因與後果

N/A
N/A
Protected

Academic year: 2021

Share "組織中知識獲取及知識分享的前因與後果"

Copied!
23
0
0

加載中.... (立即查看全文)

全文

(1)

行政院國家科學委員會專題研究計畫 成果報告

組織中知識獲取及知識分享的前因與後果

研究成果報告(精簡版)

計 畫 類 別 : 個別型 計 畫 編 號 : NSC 97-2410-H-009-010- 執 行 期 間 : 97 年 08 月 01 日至 98 年 07 月 31 日 執 行 單 位 : 國立交通大學管理科學系(所) 計 畫 主 持 人 : 王耀德 處 理 方 式 : 本計畫可公開查詢

中 華 民 國 98 年 10 月 20 日

(2)

Antecedents and Consequences of Knowledge Acquisition and

Sharing in Organizations

Yau-De Wang

Department of Management Science National Chiao Tung University

(3)

Summary

This study explored the issue of how the organizational trust, affective state, expected benefit from knowledge sharing were associated with organizational members’ knowledge sharing and knowledge acquisition behaviors. Questionnaire survey was conducted on a sample of 300 employees from the high-tech and manufacturing industries.

The results from statistical analyses indicated that organizational trust and perceived performance and social benefits from knowledge sharing were positively associated with knowledge sharing behaviors. Negative affect was negatively related to knowledge sharing behaviors. Perceived performance and social benefits and positive affect were positively related to knowledge acquisition behaviors. This study contributes to the literature of organizational learning by providing a validated framework to interpret in a more integrative and complete manner why an organizational member will share knowledge with his or her co-workers. Not only organizational trust but also personal affective state and perceived benefit from knowledge sharing can explain why knowledge sharing occurs in organizations.

(4)

摘要 本研究探討個別組織員工的組織信任、正負向情緒、感受到的知識分享效益與其知 識分享與知識搜集行為之間的關聯性。本研究 300 位高科技產業與製造業員工為對象, 進行資料收集與分析。 研究的結果顯示個別組織員工的組織信任、感受到的知識分享效益與其知識分享行 為之間具具有正向關聯性。負向情感與其知識分享行為具有負向關聯性。正向情感與感 受到的知識分享效益與其知識搜集行為之間具有正向關聯性。 本研究的貢獻在於提供一個驗證後的理論架構,協助我們更全面、更完整的去說明 組織員工為何會與組織中的其他成員分享自己的知識。不僅組織信任,組織員工個人的 正負向情緒、感受到的知識分享效益也會與其知識分享行為與知識搜集行為有關聯。 關鍵詞:知識搜集、知識分享、組織學習

(5)

I. Introduction

For adapting to the changes in environment, organizations need to continually acquire

new knowledge about their products, markets, customers, and competitors. Organizations

can create knowledge by themselves through R&D activities (Cohen & Levinthal, 1990) or

can acquire knowledge from sources outside organization (Huber, 1992). Organizations

exchange knowledge with each other, purchase knowledge from vendors, transfer knowledge

from allies, get access to knowledge through technological consortia, or import knowledge

from research institutes or academia (Lane & Lubatkin, 1994; Lane, Salk, & Lyles, 2001; Tsai,

2001). Though knowledge acquisition is critical to organizational learning, knowledge

sharing within organization exerts an equally important influence on organizational learning.

Without sharing with other organizational members, the knowledge owned by an

organizational member will remain at individual rather than organizational level and thus

cannot be used to improve organizational performance.

In the literature of knowledge sharing, the issue of trust has become a focus of attention

in research endeavor (Levin & Cross, 2004; McEvily, Perrrone, Zaheer, 2003; Szulanski &

Cappetta, & Jensen, 2004; Renzel, 2008; Willem, Buelens, & Scarbrough, 2006). Trust,

defined by two components—competence, a cognitive response of a knowledge provider to

the perceived capability of the knowledge recipient; and benevolence, an affective response of

the provider to the perceived kind intention and unlikelihood of opportunistic behaviors of the

recipient—facilitates organizational learning (Chowdhury, 2005; Ingham & Mothe, 1998).

The perceived competence of a knowledge recipient motivates a knowledge provider to share

knowledge with the recipient because the competence perceived by the provider reduces the

provider’s expected cost (in terms of time and cost for disseminating knowledge) for

transferring knowledge to the recipient. The benevolence of the recipient attenuates the

(6)

and status of the knowledge provider) (Andrew & Delahaye, 2000; Chowdhury, 2005).

Trust has been found facilitative to intra-organizational knowledge sharing (Chowdhury, 2005;

Ingham & Mothe, 1998; Levin & Cross, 2004; Renzel, 2008; Willem, Buelens, & Scarbrough,

2006).

The literature of emotions and social exchange theory suggests that the affective state of

an individual influences his or her exchange behaviors in social settings. How the affective

state of an organizational member influences his or her sharing of knowledge with other

organizational members is an issue seldom addressed in the literature. Furthermore, the

literature of expected utility theory argues that the benefits expected from an action will

determine whether a person will take the action. How the expected benefits from knowledge

sharing will affect an organizational member’s sharing of knowledge with other

organizational members is an issue remains to be addressed in the literature of organizational

learning.

The literature of knowledge sharing has so far focused mostly on the effects of

organizational trust on knowledge sharing. It ignores the effects of personal affective state

and of economic calculation on organizational members’ knowledge sharing behaviors. The

first purpose of this study is to examine the issue of how organizational members’

organizational trust, affective state, and perceived benefits from knowledge sharing are

related to their knowledge sharing behaviors.

The literature of knowledge acquisition has focused its attention on how and where

organizational members acquire their knowledge from the sources outside organization.

Why organizational members take actions to acquire knowledge is seldom investigated in the

literature. Intuitive thinking suggests that organizational members seek for knowledge in

order to solve the problems they encounter on their jobs. However, common sense informs

us that people seek for information or knowledge constantly in their daily lives not necessarily

(7)

spur an individual to explore and acquire knowledge from external environment. The

literature of affective temperament and information processing (Forgas & George, 2001)

suggests that the affective state is one of the personal temperaments that affect people’s

information processing behaviors. How organizational members’ affective states are

associated with their knowledge acquisition behaviors is an issue deserves empirical

exploration.

The literature of knowledge acquisition emphasizes the benefits on performance

improvement from the acquired knowledge. The motive for enhancing personal and

organizational job performance can spurs an employee to acquire new knowledge. Through

knowledge sharing, the acquired knowledge of an organizational member can be transformed

into organization-level knowledge which can be used to improve performance at group or

organizational level. However, the sharing of the acquired knowledge can also enhance

one’s own social status within organization. The perceived benefits from improving one’s

own social status as well the perceived benefits from improving organizational performance

can work together to stimulate organizational members’ knowledge acquisition behaviors.

How these perceived benefits are related to organizational members’ knowledge acquisition

behaviors is an issue deserves an empirical investigation. The second purpose of this study

is to examine how organizational members’ affective state and their perceived benefits from

knowledge sharing are related to their knowledge acquisition behaviors.

II. Literature Review and Hypotheses

(1) Organizational trust and knowledge sharing

Organizational trust refers to an organizational member’s perceived benevolence and the

perceived competence of other organizational members in the member’s interactions with the

(8)

trust that promotes social and emotional ties between two persons (Chowdhury, 2005). The

perceived competence leads to a cognitive-based trust that facilitates cooperation in problem

solving. Trust can be conceptualized as “expectations about other’s intentions and

behaviors” that include “technically competent role performance from those involved with us

in social relationships” (McEvily, Perrone, & Zaheer, 2003, p.93). Trust is a “leap of faith”

showing in our willingness for risking the harm from the possible opportunistic behaviors of

those we are interacting with.

Organizational trust facilitates knowledge sharing within organization (Renzel, 2008;

Willem, Buelens, & Scarbrough, 2006). Organizational trust motivates an organizational

member to share his or her knowledge with other organizational members if these other

members are perceived trustworthy. Benevolent knowledge recipients alleviate knowledge

providers’ risk for being taken advantage by the recipients; for example, being usurped

position power after giving away one’s own proprietary knowledge. Competent knowledge

recipients demand less provider’s time and energy needed for disseminating the knowledge.

Hence,

Hypothesis 1: Organizational trust is positively related to organizational members’ knowledge

sharing behaviors.

(2) Negative affect and knowledge sharing

A person can experience two affective states—positive and negative (Forgas & George,

2001; Lawler & Thye, 1999; Watson & Clark, 1988). Emotion, affect is directed at a

specific person, an object, or an event. However, affect is a state of feeling which is not

aiming at any specific entity around a person. Affect is not as transient as mood because it

can be regarded as a lasting personal temperament tendency which will reappear across

(9)

uni-dimensional. They are two different states of affective feeling. PA is a state of high

energy, full concentration, and pleasurable mental engagement; on the other hand, NA is a

state of distress, unpleasant feeling, anger, guilt, fear, and nervousness (George & Brief, 1992;

Watson, Clark, & Tellegen, 1988). Low PA is characterized by sadness and lethargy and low

NA is a state of calmness and serenity (George & Brief, 1992; Watson, Clark, & Tellegen,

1988). In social interactions, negative affect was found to be associated with troubled and

unpleasant interpersonal relationships (Watson & Clark, 1984; Watson, Clark, & Tellegen,

1988). In terms of information process, Forgas and George (2001) argued that negative

affect can prime a person to seek for information in social situations that confirms one’s

negative feeling. In organizational situations, an employee with negative affect will involve

less in interpersonal interactions with the co-workers. And the negative affect will also

prime the employee to think in a negative direction about the interactions. The negative

feeling and mistrust with the interactions will prevent the employee from sharing his or her

knowledge with co-workers.

We do not suggest a relationship between positive affect and knowledge sharing because

positive affect has been found to be associated with general social and physical activities, not

with interpersonal activities (Forgas & George, 2001; Watson & Clark, 1988). Positive

affect arouses curiosity and makes one’s cognitive style open and flexible, a state relates more

to knowledge seeking and acquiring and less to knowledge sharing. Thus, we propose the

following hypothesis.

Hypothesis 2: Negative affect is negatively associated with organizational members’

knowledge sharing behaviors.

(3) Perceived benefit and knowledge sharing behaviors

The tasks performed on jobs by different organizational members are more or less

(10)

an organizational member will not be able complete his or her tasks. Organizational

members also work together to solve problems in teams. The knowledge from each team

member is needed for deriving solutions for problems (Okhuysen & Eisenhardt, 2002).

Knowledge sharing can enhance personal as well as team performance. Knowledge sharing

can also create social benefits for organizational members. Sharing knowledge with one’s

colleagues will win their respect and trust, reinforce the friendship with them, and also solicit

a reciprocated payback from them in future. The expected performance benefit and social

benefit will entice an organizational member into sharing knowledge with other

organizational members. We propose that

Hypothesis 3: Both perceived performance benefit and social benefit from knowledge sharing

are positively associated with organizational members’ knowledge sharing

behaviors.

(4) Positive affect and knowledge acquisition

Positive affect is associated with general social and physical activities (Watson, Clark, &

Carey, 1988; Watson & Pennebaker, 1989). Positive affect provides the energy that activates

general social interactions or physical activities. In organizational research, it is found that

positive affect promoted organizational members’ engagement in spontaneous organizational

behaviors, self-development activities, and goodwill acts (Forgas & George, 2001; George &

Brief, 1994). In information processing, it is suggested that positive affect can promote

generative, open, and flexible cognitive style in social situations (Forgas & George, 2001).

Organizational members take actions to acquire knowledge from their social and physical

environments. To acquire knowledge, they need to be proactive in attending to new

knowledge. Positive affect provides people with the energy for engaging in interactions with

their environment. Furthermore, to take in and assimilate new knowledge, people need to be

(11)

curious for new knowledge and open to different perspectives. Thus, the following is

proposed.

Hypothesis 4: Positive affect is positively associated with organizational members’ knowledge

acquisition behaviors.

(5) Perceived benefit and knowledge acquisition

To share knowledge with colleagues, an organizational member needs to possess the

knowledge that is not-yet-known by the colleagues. Organizational members need to create

or acquire knowledge that can be added into the repertoire of new knowledge for sharing. If

the perceived performance benefit and the perceived social benefit from knowledge sharing

can motivate an employee’s knowledge sharing behaviors, they can also stimulate the

employee’s knowledge acquisition behaviors. To realize the benefits from knowledge

sharing, the employee needs to acquire new knowledge first, lest there is no knowledge for

sharing with co-workers. Thus, the following hypothesis is posited.

Hypothesis 5: Both perceived performance benefit and social benefit from knowledge sharing

are positively associated with organizational members’ knowledge acquisition

behaviors.

III. Method

(1) Sample

Three hundred employees from 89 semi-conductor, communication, information,

software, IC-design, computer, electronics, machinery, and automobile companies

participated in the questionnaire survey. Two hundred and ninety-three of them provided

(12)

seventy-three are operative employees and 120 are low, middle, or top managers.

Seventy-five of them are from R&D or technical function, 85 from marketing or sales

function, 71 from finance, administrative, or HR function, and 63 from other staff functions.

Twenty-two percent of them have at least 3 years of tenure in their companies.

Seventy-eight percent of them have a tenure ranges from 3 to more than 20 years.

(2) Definition and measurement of variable

Organizational trust is defined as an organizational member’s perceived benevolence

and competence of other organizational members. If the people in an organization have a

shared perception of high benevolence and competence on each other, then the organization

will be characterized as a trustful organization. We used the scale developed by Huff and

Kelley (2003) to measure organizational trust. The scale contains 8 items and 7 of them

were selected to compose the measure through factor and reliability analyses.

Knowledge sharing behaviors refer to the actions of an organizational member’s

sharing of knowledge with other organizational members (Andrews & Delahye, 2000;

Chowdhury, 2005). It is a process of distributing knowledge to others inside an organization

(Huber, 1991). It is essential to building organizational learning on the basis of individual

learning. If the people in an organization are willing to share with each other what they

have already learned, then the organization, at collective level, will achieve a higher degree of

learning. We adapted the scale developed by Chowdhury (2005) for measuring knowledge

sharing between an organizational member and his or her co-workers. Eleven items were

selected through factor and reliability analysis for assessing this variable.

Knowledge acquisition behaviors concern the activities of importing knowledge from

sources external to one’s own organization (Andrews & Delahye, 2000; Huber, 1991; Zahra &

George, 2002). An organization can rely on many different external sources for acquiring

(13)

scale developed by Wang, Wang, and Horng (2005) to measure knowledge acquisition

behaviors. Five items were used to measure knowledge acquisition from business associates

(business knowledge acquisition), including suppliers, customers, colleagues in the same

business group, associates in other companies, and associates in other industries. Three

items measured knowledge acquisition from research institutes, training organizations, and

consulting companies (basic knowledge acquisition). Three items measured knowledge

acquisition from the industrial publication, data bases, and industrial conferences (industrial

knowledge acquisition).

Positive and negative affects are defined as lasting temperaments of a person which will

reappear across multiple times and situations. PA is a state of high energy, full concentration,

and pleasurable mental engagement; on the other hand, NA is a state of distress, unpleasant

feeling, anger, guilt, fear, and nervousness (George & Brief, 1992; Watson, Clark, & Tellegen,

1988). We used the PANAS scales developed by Watson, Clark, and Tellegen (1988) to

measure the respondents’ experiences of positive affect and negative affect in the past several

weeks. Ten of the scale items measure positive affect and another 10 items measure negative

affect.

Perceived performance benefit from knowledge sharing is defined as the knowledge

provider’s perceived benefits from knowledge sharing on knowledge provider’s own

performance, knowledge recipient’s performance, department or organizational performance.

Perceived social benefit refers to the knowledge provider’s perceived benefit from knowledge

sharing on the respect and trust from knowledge recipient, improvement on interpersonal

relationship with knowledge recipient, reward given by superiors, and reciprocated

knowledge exchanged from knowledge recipient. We used 3 items to measure the perceived

performance benefit and 5 items to measure the perceived social benefit.

(14)

At first, all the measures except the positive and negative affect were submitted for

factor analysis and reliability analysis. The items that were grouped into the same factor and

that could enhance the overall reliability were selected for each variable. The affective scale

has been used in the literature as a standardized measurement tool. All the original items

were used without any screening from factor or reliability analysis. At the second stage,

step-wise regressions were used to test the five hypotheses. We entered into regression

analysis first the control variables including size of the company, gender, educational and

position level of the respondent, and the dummy coding of the functional job area of the

respondent. We then entered organizational trust to examine their associations with

knowledge sharing and knowledge acquisition behaviors. In the third step, we entered

positive and negative affects; and finally, we entered the perceived social and performance

benefits to examine their associations with knowledge sharing and knowledge acquisition

behaviors.

IV. Results

Because the respondents provided measures of all the variables, we used Harman’s

single-factor analysis described in Podsakoft, MacKenxie, Lee, and Podsakoft (2003) to test

the possible common-source bias. Because there is no single one factor was found in the

analysis, no indication for the existence of common-source bias in the present study. The

means, standard deviations, reliabilities, and the inter-correlations of the variables are

reported in Table 1. Organizational trust, positive affect, and the two perceived benefits

from knowledge sharing are all positively associated with knowledge sharing and business,

basic, and industrial knowledge acquisition behaviors. Negative affect is negatively

associated with knowledge sharing behaviors.

(15)

According to the results of the regression analysis in Table 2, organizational trust and

performance benefit are positively related to knowledge sharing; however, the negative affect

is negatively related to knowledge sharing. Hypotheses 1 and 2 are supported. Hypothesis

3 is supported only on the prediction concerning the association between the performance

benefit and knowledge sharing.

Insert Table 2, Table 3, Table 4, and Table 5 about here

From Models 2, 3, and 4 in Table 2, we can find that organizational trust contributes 9%

of variation in knowledge sharing behaviors, the two affective states contribute 4%, and the

perceived benefits contribute 22% of the variation. From the Model 4 in Table 3, we can

find that positive affect, social benefit, and performance benefit are positively related with the

business knowledge acquisition. The results from Models 2, 3, and 4 show that

organizational trust contributes only 1% of variation in the business knowledge acquisition,

the two affective states contributes 5%, and the two benefits contribute 10%. Model 4 in

Table 4 shows that positive affect and performance benefit are positively associated with

consultation knowledge acquisition. Model 2 of the table indicates that organizational trust

contributes 4% of variance in basic knowledge acquisition, the two affects contribute 5%, and

the two benefits also contribute 5%. Model 4 in Table 5 shows that positive affect and

performance benefit are positively associated with industrial knowledge acquisition. Model

2 of the table indicates that organizational trust contributes 1% of variance in knowledge

acquisition, the two affects contribute 5%, and the two benefits contribute 13%. According

to the results is Tables 3, 4, and 5, we can infer that Hypothesis 4 is supported. Positive

affect is positively associated with all three kinds of knowledge acquisition behaviors.

Hypothesis 5 is supported on both the business and industrial knowledge acquisition

(16)

the perceived performance benefit is associated with basic knowledge acquisition.

V. Discussion

This study contributes to the literature of organizational learning in the following ways.

First, this study provides us a validated framework that is more integrative and complete than

the current theories for understanding why organizational members want to share their

knowledge with their colleagues. Affective state and utility calculation, the two forces that

influence individuals’ behaviors, have been neglected in the literature of knowledge sharing.

This study informs us that in addition to organizational trust, the negative affect and the

expected social and performance benefits from knowledge sharing also are related to

organizational members’ knowledge sharing behaviors. Second, research in the literature of

knowledge acquisition focuses mostly on the performance benefit from knowledge acquisition.

Affective state and the expected social benefit from knowledge sharing are neglected. This

study demonstrates to us that these latter two factors are also positively related to knowledge

acquisition behaviors. Third, this study notifies us how the different affective states are

associated with the different aspects of learning behaviors. Negative affect is related to

knowledge sharing and positive affect to knowledge acquisition. Such a finding coincides

with the argument of the bi-dimensional theory of affective state. Negative affect is directed

more at interpersonal interactions. Knowledge sharing occurs in interpersonal interactions

and thus subsumes itself more to the impact of negative affect. On the other hand, positive

affect is directed more at general social and physical activities. Knowledge acquisition is a

proactive activity performed in general social and physical environments, which requires

curiosity, energy, and an open, flexible cognition, and thus is subjected more to the influence

(17)

Table 1: Means, Standard Deviations, Reliabilities, and Cronbach α Among the Variables Mean SD 1 2 3 4 5 6 7 8 9 1.Organization Trust 3.10 0.77 (0.90) 2.Positive Affect 3.13 0.63 0.47** (0.88) 3.Negative Affect 2.40 0.70 -0.26** -0.14** (0.88) 4.Social Benefit 3.29 0.74 0.22** 0.27** 0.07 (0.86) 5.Performance Benefit 3.46 0.82 0.29** 0.43** -0.08 0.59** (0.88) 6.Knowledge Sharing 3.78 0.72 0.33** 0.38** -0.18** 0.38** 0.63** (0.93) 7.Business Knowledge 3.26 0.86 0.12* 0.34** 0.00 0.38** 0.42** 0.41** (0.92) 8.Basic Knowledge 2.80 0.93 0.23** 0.32** -0.01 0.27** 0.33** 0.26** 0.55** (0.79) 9.Industrial Knowledge 3.34 0.89 0.14* 0.34** -0.07 0.37** 0.46** 0.44** 0.63** 0.57** (0.80) N=293; αis in parentheses. * P < 0.05; ** P < 0.01; *** P < 0.001

(18)

Table 2: Step-wise Regression of Control and Independent Variables on Knowledge Sharing

Knowledge Sharing

Variables Model 1 Model 2 Model 3 Model 4 Control Variables Gender -0.07 -0.03 0.01 0.00 Education 0.14* 0.14* 0.10 0.04 Position 0.13** 0.10** 0.06 0.02 Firm Size 0.00 0.01 0.01 -0.01 Functional Area R&D / Technology -0.11 -0.04 -0.04 0.00 Sales / Marketing -0.05 0.07 0.08 0.06 Administration -0.16 -0.09 -0.09 -0.02 Independent Variables Organization Trust 0.30** 0.19** 0.11* Positive Affect 0.26** 0.07 Negative Affect -0.08 -0.10* Social Benefit 0.02 Performance Benefit 0.47** F value 3.35** 31.07** 7.07** 56.17** R2 0.08 0.17 0.21 0.43 Adj R2 0.05 0.14 0.18 0.41 * P < 0.05; ** P < 0.01; *** P < 0.001

(19)

Table 3: Step-wise Regression of Control and Independent Variables on Business Knowledge Acquisition

Business Knowledge

Variables Model 1 Model 2 Model 3 Model 4 Control Variables Gender -0.10 -0.09 -0.06 -0.08 Education Level 0.13 0.14 0.09 0.05 Position Level 0.22** 0.21** 0.18** 0.15** Firm Size 0.00 0.00 -0.00 -0.01 Functional Area R&D / Technology -0.15 -0.13 -0.12 -0.11 Sales / Marketing 0.01 0.05 0.04 0.03 Administration -0.26 -0.24 -0.22 -0.15 Independent Variables Organization Trust 0.09 -0.02 -0.09 Positive Affect 0.35** 0.22** Negative Affect 0.11 0.07 Social Benefit 0.22** Performance Benefit 0.21** F value 6.15** 1.82 9.46** 19.03** R2 0.13 0.14 0.19 0.29 Adj R2 0.11 0.11 0.16 0.26 * P < 0.05; ** P < 0.01; *** P < 0.001

(20)

Table 4: Step-wise Regression of Control and Independent Variables on Basic Knowledge Acquisition

Basic Knowledge

Variables Model 1 Model 2 Model 3 Model 4 Control Variables Gender 0.09 0.12 0.15 0.14 Education level 0.19* 0.20* 0.15 0.12 Position level 0.14** 0.12* 0.10 0.08 Firm Size 0.00 0.01 0.00 0.00 Functional Area R&D / Technology 0.08 0.14 0.15 0.16 Sales / Marketing -0.19 -0.09 -0.10 -0.11 Administration 0.09 0.14 0.17 0.22 Independent Variables Organization Trust 0.25** 0.15* 0.10 Positive Affect 0.35** 0.24** Negative Affect 0.14 0.12 Social Benefit 0.11 Performance Benefit 0.20** F value 2.80** 12.36** 8.22** 8.14** R2 0.06 0.10 0.15 0.20 Adj R2 0.04 0.08 0.12 0.16 * P < 0.05; ** P < 0.01; *** P < 0.001

(21)

Table 5: Step-wise Regression of Control and Independent Variables on Industrial Knowledge Acquisition

Industrial Knowledge

Variables Model 1 Model 2 Model 3 Model 4 Control Variables Gender 0.02 0.03 0.08 0.06 Education level 0.16* 0.17* 0.11 0.06 Position level 0.20** 0.19** 0.15** 0.12** Firm Size 0.01 0.01 0.01 -0.01 Functional Area R&D / Technology 0.33* 0.36** 0.37** 0.39** Sales / Marketing 0.00 0.05 0.05 0.04 Administration -0.04 -0.01 0.00 0.08 Independent Variables Organization Trust 0.13* 0.01 -0.08 Positive Affect 0.38** 0.22* Negative Affect 0.03 -0.01 Social Benefit 0.17* Performance Benefit 0.31** F value 5.69** 3.98* 8.48** 24.59** R2 0.12 0.13 0.18 0.31 Adj R2 0.10 0.11 0.15 0.28 * P < 0.05; ** P < 0.01; *** P < 0.001

(22)

VI. References

Andrews, K.M. & Delahaye, B.L., 2000. Influences on knowledge progress in organizational learning: The psychosocial filter. Journal of Management Studies, 37, 797-810.

Chowdhury, S., 2005. The role of affect- and Cognition-based trust in complex knowledge sharing. Journal of Management Issues, 17, 310-326.

Cohen, W. M. & Levinthal, D. A., 1990. Absorptive capacity; A new perspective on learning and innovation. Administrative Science Quarterly, 35: 128-152.

Forgas, J.P. & George, J.M., 2001. Affective influences on judgments and behavior in organizations: An information processing perspective. Organizational Behavior and Human Decision Process, 86(1), 3-34.

George, J.M. & Brief, A.P., 1992. Feeling food—doing good: A conceptual analysis of the mood at work—organizational spontaneity relationship. Psychology Bulletin, 112(3), 310-329.

Huber, G. P., 1991. Organizational learning: the contributing processes and the literatures. Organization Science, 2(1), 88-115.

Huff, L. & Kelley, L., 2003. Levels of organizational trust in individualist versus collectivist societies: A seven-nation study. Organization Science, 14, 81-90.

Ingham, M. & Mothe, C., 1998. How to learn in R&D partnerships? R&D Management, 28, 249-261.

Lane, P. J. & Lubatkin, M., 1994. Relative absorptive capacity and interorganizational learning. Strategic Management Journal, 19, 461-477.

Lane, P. J., Salk, J. E., & Lyles, M. A., 2001. Absorptive capacity, learning, and performance in international joint venture. Strategic Management Journal, 22, 1139-1161.

Lawler, E.J & Thye, S. R., 1999. Bringing emotions into social exchange, Annual Review of Sociology, 25, 217-244.

Levin, D.Z. & Cross, R., 2004. The strength of weak ties you can trust: The mediating role of trust in effective knowledge transfer. Management Science, 50, 1477-1490.

Lopez, S.P., Montes Peon, J.M., & Vazquez Ordas, C.J., 2004. Managing knowledge: the link between culture and organizational learning. Journal of Knowledge Management, 8, 93-104.

McEvily, B., Perrone, V., & Zaheer, A., 2003. Trust as an organizing principle. Organization Science, 14, 91-103.

(23)

interventions enable flexibility. Organization Science, 13(4), 370-36.

Podsakoft, P.M., MacKenxie, S.B., Lee, J-Y, & Podsakoft, N.P., 2003. Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.

Renzl, B., 2008. Trust in management and knowledge sharing: The mediating effects of fear and knowledge documentation. Omega, 36, 206-220.

Szulanski, G., Cappetta, R., Jensen, R.J., 2004. When and how trustworthiness matters: Knowledge transfer and the moderating effect of causal ambiguity. Organization Science, 15, 600-613.

Tsai, W., 2001. Knowledge transfer in intraorganizational networks: Effects of network position and absorptive capacity on business unit innovation and performance. Academy of Management Journal, 44: 996-1004.

Wang, Y. L., Wang, Y. D., & Horng, R. Y., 2003. Knowledge acquisition, absorptive capacity, and product innovation in SMEs. 2003 Joint Conference on Business Management and E-commerce Management, Taipei.

Watson, D. & Clark, L.A., 1984. Negative affectivity: the disposition to experience aversive emotional states. Psychological Bulletin, 96, 465-490.

Watson, D. & Clark, L.A., 1991. Self- versus peer-ratings of specific emotional traits: Evidence of convergent and discriminant validity. Journal of Personality and Social Psychology, 60, 927-940.

Watson, D., Clark, L.A., & Carey, G., 1988. Positive and negative affectivity and their relation to anxiety and depression disorders. Journal of Abnormal Psychology, 97, 346-353.

Watson, D., Clark, L.A., & Tellegen, A., 1988. Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063-1070.

Watson, D. & Pennebaker, J. W., 1989. health complaints, stress, and distress: Exploring the central role of negative affectivity. Psychological Review, 96, 234-254.

Willem, A., Buelens, M., & Scarbrough., 2006. The role of inter-unit coordination mechanisms in knowledge sharing: a case study of a British MNC

Zahra, S.A. & George, G., 2002. Absorptive capacity: A review, reconceptualization, and extension. Academy of Management Review, 27, 185-203.

數據

Table 1: Means, Standard Deviations, Reliabilities, and Cronbach  α Among the Variables      Mean  SD  1  2  3  4  5  6  7  8  9  1.Organization Trust  3.10  0.77  (0.90)          2.Positive Affect    3.13  0.63  0.47**  (0.88)         3.Negative Affect  2
Table 2: Step-wise Regression of Control and Independent Variables on  Knowledge Sharing
Table 3: Step-wise Regression of Control and Independent Variables on  Business Knowledge Acquisition
Table 4: Step-wise Regression of Control and Independent Variables on  Basic Knowledge Acquisition
+2

參考文獻

相關文件

 The pre-primary institution is able to design learning activities around themes to facilitate children’s acquisition of knowledge and skills from different learning strands and

In this study, the impact of corporate social responsibility to corporate image, service quality, perceived value, customer satisfaction and customer loyalty was explored

Community of practice provides a platform for knowledge workers to share, learn and discuss the knowledge related to a particular topic, thus, the performance of the community

The present study explores the relationship between organizational reward system, job satisfaction, organizational citizenship behavior (OCB) and organizational performance to

Regarding Flow Experiences as the effect of mediation, this study explores the effect of Perceived Organizational Support and Well-being on volunteer firemen, taking volunteer

Therefore, this study will be preliminary information gathered by literature review related to quality of service refers to the heading, through depth interviews, expected

This study aims to explore whether the service quality and customer satisfaction have a positive impact on the organizational performance of the services and whether the

To understand the Internet addiction behaviors, this study inquires the personal and family related factors, online experience related factors, interpersonal interactions