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    Exploring the Influence of Organizational

    Ethical Climate on KnowledgeManagement

    Fan-Chuan TsengYen-Jung Fan

    ABSTRACT. In recent years, knowledge management

    has been utilized as an essential strategy to foster the crea-

    tion of organizational intellectual capital. Organizational

    intellectual capital can be derived both individually and

    collectively in the process to create, store, share, acquire,

    and apply personal and organizational knowledge. How-

    ever, some organizations only focus on the development of

    public good, despite the concerns arising from individuals

    self-interest or possible risks. The different concern of

    individual and collective perspectives toward knowledge

    management inevitably leads to ethical conflicts and ethical

    culture in the organization (Jarvenpaa et al., J Manage Inf

    Syst 14(4):2964, 1998; Ruppel and Harrington, IEEE

    Trans Prof Commun 44(1):3752, 2000). The purpose of

    this study is to examine the ethical climate within the

    organization and its possible influence on members

    evaluation, satisfaction, engagement, and job perfor-mance with respect to knowledge management practice.

    The research results reveal that several types of organi-

    zational ethical climate coexist in the organization and

    have different degrees of influence on employees atti-

    tude as well as participation in knowledge management

    activities. In this article, we argue the importance of

    organizational ethical climate and highlight the impli-

    cations of such a climate for facilitating knowledge

    management.

    KEY WORDS: knowledge management, organizational

    culture, organizational ethical climate, knowledge man-agement attitude, knowledge management satisfaction,

    job performance

    Introduction

    Since the 1990s, the development of the knowledge

    economy has emerged as an important strategy for

    organizations to increase their performance and

    profits. Traditionally, organizations have paid con-

    siderable attention to physical assets such as natural

    resources, mechanical facilities, labor as well as

    financial capital, and have evaluated countable rev-enues that are potentially achievable. Unlike the

    inevitable exhaustion of physical resources, knowl-

    edge is viewed as an intangible capital that can

    be created, shared, acquired, reused, and applied

    among people. The knowledge management strat-

    egies within an organization accelerate collective

    learning, increase competitiveness to the rapid

    market changes, and create greater customer satis-

    faction (Davenport and Prusak, 1998). In order to

    maximize innovation benefits and competitive

    advantages, increasing numbers of organizations

    address to exploit and retain their collective intel-

    lectual capital as well as to foster collaborative

    working and learning between organizational

    members (Alavi and Leidner, 2001).

    Knowledge is derived essentially from an indi-

    viduals tacit ideas, insights, expertise, and skills; it is

    further demonstrated in the form of explicit and

    codified knowledge. The initiative of organizational

    knowledge management mainly focuses on the

    facilitation of knowledge exchange with others as

    well as the development of common knowledge

    within the organization. Thus, knowledge is usuallyconsidered to be public property, owned and

    maintained by the organization (Wasko and Faraj,

    2000). Although some studies have advocated that a

    knowledge management system (KMS) can increase

    the competitiveness of organizations by facilitat-

    ing the storage, retrieval, and application of knowl-

    edge, the notion of information technology (IT)

    itself falls easily into the myth of technology-deter-

    minism (Dixon, 2000; Pfeffer and Sutton, 1999).

    Journal of Business Ethics (2011) 101:325342 Springer 2011

    DOI 10.1007/s10551-010-0725-5

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    Much emphasis has been placed on system features,

    and the performance of knowledge management is

    expected to be accomplished automatically by the

    adoption of KMS. However, the success of knowl-

    edge management depends on interpersonal inter-action and relationship quality (Szulanski, 1996),

    rather than technology alone.

    In addition to the perspective that collective

    knowledge is the simple collection of the private

    knowledge of individuals, knowledge is also

    embedded in social practice (Brown and Duguid,

    2001; Nahapiet and Ghoshal, 1998). Alavi et al.

    (20052006) propose that a KMS could be viewed as

    an organizations cultural artifact, which might be

    affected by existing organizational values or may

    reshape a new set of values relating to knowledgemanagement. Since people are embedded in an

    organization, a natural knowledge-sharing culture

    with trust and collaboration encourages members to

    share their knowledge more willingly (McDermott

    and ODell, 2001). Several impediments to organi-

    zational knowledge management have been pointed

    out, including knowledge hoarding due to the nat-

    ure of knowledge private asset or public property,

    possible leaking and economic loss of valued

    knowledge, apprehension over the failure in public,

    fear of criticism from others, security and privacy

    considerations, and Not-Invented-Here syndromein a hostile environment (Ardichvili et al., 2003;

    Michailova and Husted, 2003). Consequently, KMS

    implementation is not built into the organizational

    culture enough to reinforce members knowledge

    management participation and becomes an expen-

    sive and useless information junkyard (McDermott,

    1999), where knowledge management can neither

    effectively facilitate collaboration nor leverage

    knowledge application among organizational mem-

    bers. Moreover, Duncan (1986) and McCann and

    Buckner (2004) emphasize that the ethical issueswithin an organization are essential for knowledge

    management initiatives to minimize ownership

    conflicts as well as to reinforce the norms of

    knowledge creation, sharing, and retention.

    Organizational culture has been identified in the

    form of basic assumptions, values, and artifacts

    (Schein, 1985), which underlie organizational struc-

    tures, practices, polices, and procedures (Reichers and

    Schneider, 1990). While climate refers to organiza-

    tional members perceptions, behavior patterns are

    shaped by the common values, beliefs, and norms

    within the organization (Tesluk et al., 1997). Due to

    the abstraction of culture, organizational climate is a

    more practical way of representing individuals feel-

    ings about a particular organizations value, authoritysystem, and motivation policies. Through the process

    of interpersonal interaction and vicarious observation,

    climate affects organizational members to learn

    appropriate and acceptable behaviors. Tesluk et al.

    (1997) argue that climate is a multidimensional con-

    struct in which particular climate dimensions need to

    be examined for their association with organizational

    behavior. In the realm of knowledge management,

    Bock et al. (2005) also find that several dimensions

    of organizational climate, including fairness, affilia-

    tion, and innovativeness, have significant effects onknowledge-sharing behaviors. However, the rela-

    tionship between organizational ethical climate and

    knowledge management practice is seldom discussed.

    Our study follows the above-mentioned arguments

    about the association between knowledge manage-

    ment and organizational culture, and then further

    adopts the perspective of organizational ethical cli-

    mate to explore its influence on knowledge practices.

    More discussion about organizational ethical climate

    theory and knowledge management activities, as well

    as the subsequent relationship between organizational

    members evaluation of knowledge management andtheir job performance, will be presented in the fol-

    lowing section.

    Theoretical background and research model

    development

    Organizational ethical climate and knowledge management

    The concept of ethics has been discussed and utilized

    to examine individuals moral life, decision-makingstrategies, and behavior in the daily lives, regarding

    the responsibility and accountability of actions taken

    in particular situations (McDaniel, 2004). Ethics is

    not merely a philosophical abstract theory, but also a

    critical guideline in the personal or collective prac-

    tice. For example, Aristotle ethics concerns about

    the quality of best life in terms of the individuals

    noble, beneficial, and pleasant virtues embedded in

    the social context and in service to the community

    (Boadie, 1994; Solomon, 2004). Ethics is principally

    326 Fan-Chuan Tseng and Yen-Jung Fan

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    examined from two perspectives deontology and

    teleology (Kohlberg, 1981). Deontology refers to

    the evaluation of the inherent good or bad of the

    action itself, rather than the value or consequences it

    brings (Clark and Dawson, 1996), constituting thejudgment that ones behavior is right or obligatory.

    Conversely, teleology evaluates the consequences of

    human behavior and assesses the value of meeting

    personal interests or social/economic obligations

    (OBoyle and Dawson, 1992). The function of tel-

    eology is concerned with that ethical good or right is

    also necessary for the self (Bergman, 2004). Gener-

    ally, organizational members are guided with respect

    to what is right or wrong, acceptable or unaccept-

    able through collective ethical norms. The fact that

    people know everyone should behave ethically notonly implies the abidance of accepted rules and

    standards within the organization, but also reinforces

    an individuals reputation, trustworthiness, and long-

    term relationships with others. According to Aris-

    totle, Solomon (2004) argues that organizational

    ethics is not the antagonism between personal profits

    and social responsibility. Instead, it presupposes the

    shared knowledge, experience, and values with

    public as well as private purposes. These ethical

    issues increasingly influence organizational members

    moral concerns and behavior, which have been re-

    garded as an accelerator for improving organizationalperformance. Several studies have argued that the

    organizational ethical climate influences the way

    organizational members should appraise and behave,

    and is composed of peoples ethical judgments,

    perceptions, and behavior (e.g., Barnett and Vaicys,

    2000; McDaniel, 2004; Wimbush et al., 1997).

    Being congruent with managerial needs, ethical

    work climate can establish an organizations psy-

    chological environment and increase employees job

    performance as well as their satisfaction.

    Victor and Cullen (1987) propose the concept oforganizational ethical climate to reflect one dimen-

    sion of work climate, indicating an individuals

    perception and acceptance of an organizations

    practice and procedures. Victor and Cullens theory

    of organizational ethical climate generates nine types

    of ethical climate, including self-interest, company

    profit, efficiency, friendship, team interest, social

    responsibility, personal morality, company rules/

    procedures, and laws/professional codes. These types

    have been designed to recognize organizational

    ethical norms that are directly related to the sup-

    porting of ethical behavior. Based on Kohlbergs

    (1981) theory, three types of ethical standards

    affecting peoples behavior may be found: self-

    interest, benevolence, and principle, which reflect,respectively, the aspects of ones own interests, social

    approval, and conformity to universal principles in

    three levels. At the pre-conventional level, egoism is

    characterized by an individuals concern for his self-

    interest or personal profit so as to avoid punishment

    or to gain reward. At the conventional level,

    benevolence refers to the consideration for social

    approval (e.g., the good neighbor or good com-

    munity member) and joint interests resulting from

    authority, fixed rules, or social order (Coldwell

    et al., 2008; Gross, 1995; Victor and Cullen, 1988).Finally, at the post-conventional level, principle re-

    gards the personal beliefs in procedural rules or

    professional codes based on social justice and obli-

    gation (Damico, 1982). Besides, the three levels of

    analysis in organizational ethical climate are further

    concerned about the referent group, ranging from

    the individual to the social system, which can

    influence individual or collective ethical decisions

    (Victor and Cullen, 1987).

    Since organizational members and their activities

    are embedded in the social system, connection with

    the reference groups can assist in the establishing ofgroup identification, the gaining of information,

    and the making of judgments that meet an organiza-

    tions expectations (Alavi and McCormick, 2004;

    Michailova and Hutchings, 2006). Organizational

    ethical climate reflects shared beliefs and values, it can

    shape and guide organizational members behavior in

    the determination of right and wrong at work

    (Schneider, 1983; Smircich, 1983). Wimbush et al.

    (1997), along with Barnett and Vaicys (2000), prove

    that organizational ethical climate is positively related

    to peoples ethical judgment, intention, and behaviorin their organizations as they uphold their concern for

    ethical procedures and follow ethical practices.

    Although knowledge management can leverage and

    support organizational effectiveness, it is not antici-

    patedto replace the organizationalmembers who offer

    their ideas and innovations in their everyday practices

    (Tiwana, 2000). Several studies have argued that

    organizational knowledge management is closely

    related to organizational culture, which is rooted in

    the organizations core values and reflected in terms of

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    missions and objectives. For example, Janz and

    Prasarnphanich (2003) demonstrate that risk,

    warmth, and support are important aspects of culture

    that serve to enhance organizational learning. As

    such, organizational culture could be a key driver ininfluencing how people perceive and engage in

    knowledge management as well as how they expect

    others to behave in related activities. Similarly,

    Ruppel and Harrington (2000) identify the concerns

    for employees personal best interests or the fear of

    sharing knowledge with others as part of an orga-

    nizations ethical culture. Their study results dem-

    onstrate that ethical culture is the most significant

    antecedent of knowledge management behavior

    within an organization, without which cultural val-

    ues concerning individual power and competitionwill lead to knowledge hoarding (DeLong and

    Fahey, 2000).

    Jones (1991) argues that a feedback loop arises

    from both deontological and teleological evalua-

    tions, leads to ethical judgments, moral behavior,

    and the returns to environment and personal expe-

    riences. An ethical decision-making model presented

    by Dubinsky and Loken (1989) also suggests that

    attitude toward ethical or unethical behavior affects

    ones intention to engage in ethical or unethical

    behavior. Moreover, drawing from the psychologi-

    cal concept of attitude a perceptual evaluation ofperformance and behavior as positively or negatively

    valued (Ajzen, 2001) Bock and Kim (2002), as well

    as Kuo and Young (2008a, b), have proved that an

    individuals attitude toward knowledge sharing sig-

    nificantly leads to their intention to participate in

    knowledge-sharing activities. On the basis of the

    above-mentioned relationships among organiza-

    tional ethical climate, individuals ethical judgment,

    behavior, and knowledge management activities, we

    develop the following three hypotheses:

    H1: Organizational ethical climate will signifi-

    cantly influence an individuals engagement in

    knowledge management.H2: Organizational ethical climate will significantly

    influence an individuals attitude toward

    knowledge management.H3: An individuals attitude toward organizational

    knowledge management will positively influ-

    ence his or her engagement in knowledge

    management.

    The individuals satisfaction and benefits of knowledge

    management engagement in organizations

    Satisfaction has been identified as an important

    measure for evaluating a particular product or ser-vice, widely used in consumer behavior (e.g., Cro-

    nin Jr. et al., 2000; Haslam, 2000; Nunamaker et al.,

    20012002) and information system effectiveness

    research (e.g., DeLone and McLean, 1992; Palvia,

    1996; Wixom and Todd, 2005). Although knowl-

    edge management strategies are implemented in the

    organization, much knowledge still remains uncod-

    ified and present only in individuals minds.

    The facilitation of individuals satisfaction with

    knowledge management becomes a critical cognitive

    dimension for evaluating the state of organiza-tional knowledge management (Ong and Lai,

    2007). Becerra-Fernandez and Sabherwal (2001) also

    emphasize the importance of individuals perceived

    knowledge satisfaction, rather than the objective

    assessment of knowledge effectiveness. Yu et al.

    (2007) prove that the level of knowledge manage-

    ment activity has a positive effect on organizational

    members knowledge satisfaction. In the KM success

    model proposed by Kulkarni et al. (20062007), it

    has been identified that the extent to which an

    individual recognizes the usefulness of knowledge

    management can reinforce their satisfaction withaccessibility and adequacy of needed knowledge.

    Accordingly, we argue that more useful knowledge

    management activities in working practice contrib-

    utes to greater levels of satisfaction with knowledge

    management among individuals. We propose the

    following hypothesis:

    H4: An individuals engagement in knowledge

    management will positively influence his or

    her satisfaction with knowledge management.

    Numerous studies have discussed the strategicbenefits of knowledge management, which is

    adopted as a useful approach to identifying, lever-

    aging, and creating the collective knowledge in an

    organization. Successful knowledge management is

    expected to increase organizational competition,

    productivity, innovativeness, and responsiveness

    (Alavi and Leidner, 2001; Davenport and Prusak,

    1998). The evaluation of knowledge management

    performance implies the valuing and measuring of

    328 Fan-Chuan Tseng and Yen-Jung Fan

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    organizational learning and capabilities to align indi-

    vidual and organizational practices, as well as to meet

    the shareholders needs (Lee et al., 2005). Gilbert and

    Gordey-Hayes (1996) recognize that knowledge

    management and organizational learning lead to theachievement of successful technological innovation.

    The most significant outcomes of knowledge man-

    agement usually include the organizations advanced

    competence to innovate new products/services,

    improved coordination of individuals or different

    units, enhanced employee skills, better decision

    making, and rapid responses to potential market

    opportunities (Anantatmula, 2007; Gold et al., 2001).

    Therefore, we hypothesize that:

    H5: An individuals engagement in knowledge

    management will positively influence his or

    her job performance.

    Moreover, knowledge management initiatives

    promote user satisfaction through better product

    or service quality, and then contribute to organiza-

    tional performance as well as to business revenue

    (Anantatmula, 2007). Similarly, Yu et al. (2007)

    conceptualize the positive relationship between user

    satisfaction and organizational performance, includ-

    ing the enhanced ability to innovate new market

    products, effective coordination among employees aswell as rapid responsiveness to market change.

    Employees satisfaction with their knowledge, skills,

    and experience can affect their job capabilities and

    further lead to business success (Bontis and Serenko,

    2007). Bontis and Fitz-enz (2002) also argue that an

    individuals satisfaction is a critical antecedent of

    knowledge management outcomes. In other words,

    organizational performance can be positively influ-

    enced by the organizational members perceptions of

    their knowledge management activities. Although

    several studies identify a variety of constructs that

    influence an individuals attitude and evaluation ofjob satisfaction and job performance (e.g., Mulki

    et al., 2008), few studies focus on peoples satisfac-

    tion with knowledge management practice or ex-

    plore its potential effect on job performance. Thus,

    our study proposes the following hypothesis:

    H6: An individuals satisfaction with knowledge

    management will positively influence his or

    her job performance.

    To synthesize these contentions and hypotheses, we

    propose the following research model as detailed in

    Figure 1.

    Research methodology

    For this study, we adopt a survey methodology tocollect and analyze empirical data. Table I presents

    the operational definition and its references for the

    research model.

    The measurement items are developed on the basis

    of the literature discussed above. For organizational

    ethical climate, 36 items proposed by Cullen and

    Victor (1993) are utilized and analyzed into different

    types. Based on Ajzens theory (1988, 2001),

    four items of organizational knowledge management

    attitude are developed to measure individuals per-

    ception of organizational knowledge management as

    good, beneficial, pleasant, and valuable. With regardto knowledge management engagement, many

    researchers have argued for various dimensions of

    knowledge management processes. For example,

    Alavi et al. (20052006) indicate that knowledge

    management is largely considered a process involving

    the four basic activities of creating, storing/retrieving,

    transferring, and applying. Shin et al. (2001), along

    with de Jager (1999), also focus on the significance

    of various processes of knowledge management,

    including creation, identification, collection, storage,

    distribution, and application. Generalizing from thesestudies, we identify the four basic dimensions of

    acquisition, collection, application, and sharing of

    knowledge. In addition, we follow Becerra-Fernan-

    dez and Sabherwal (2001) to examine satisfaction

    with organizational knowledge management, includ-

    ing the availability of knowledge for tasks, knowledge

    sharing among individuals, effectiveness improve-

    ment and so on. Finally, job performance is measured

    in terms of the aspects of work effectiveness,

    Organizationalethical climate

    KM satisfaction

    H4

    Job performance

    H5

    KM processengagement

    H1

    KM attitude

    H3

    H6H2

    Figure 1. Research model.

    329Organizational Ethical Climate and Knowledge Management

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    efficiency, and quality (Anantatmula, 2007; Gold

    et al., 2001). The survey is measured on a 5-point

    Likert scale ranging from strongly disagree (=1) to

    strongly agree (=5). The instrument was initially

    conducted through a pilot test recruiting 58

    employees to examine the construct reliability and

    content validity for the ease of understanding, logicalconsistencies, and context fitness. All the measure-

    ment items demonstrated the appropriateness for their

    designated construct, and we further adopted them

    into formal empirical data collection and assessment.

    Data analysis and results

    The subjects of this study were in-service employees

    who volunteered for participation on a convenience

    sample basis. Three hundred and forty-eight surveyresponses were received, with 51 being discarded

    owing to their incomplete answers. The remaining

    297 questionnaires were subjected to further exam-

    ination and analysis.

    Dimensions of organizational ethical climate

    Empirical studies distinguish several dimensions of

    organizational ethical climate by using a factor

    analysis technique, including caring, law/code, rules,

    instrument, independence, and so on (Cullen and

    Victor, 1993; Victor and Cullen, 1987, 1988).

    However, these findings are incongruent with each

    other. For example, five dimensions extracted by

    Malloy and Agarwals (2003) study in the not-

    for-profit context are individual caring, Machiavel-lianism, independence, social caring, and law and

    code. Peterson (2002) suggests the original nine-type

    model provides a better fit for organizational ethical

    climate and demonstrates that types of ethical climate

    have stronger relationships with individual ethical

    behavior. For this reason, the present researchers

    initially adopt Victor and Cullens nine ethical cli-

    mate types and subsequently identify them as the

    dimensions of ethical climate in the study data.

    With reference to Peterson (2002), the CFA is a

    more rigorous and appropriate procedure for testingthe theoretical nine-type model. The CFA results

    demonstrate that not all nine organizational ethical

    climates exist in this study. After removing the items

    with factor loading less than 0.5, three ethical cli-

    mate dimensions self-interest, social responsibility,

    and law/professional codes are retained as the

    major ethical climate dimensions for further exami-

    nation of the study hypotheses. The remaining

    items, and their means, standard deviations, as well as

    factor loadings are summarized in Appendix 1.

    TABLE I

    Operational definitions of constructs

    Construct Operational definition Sources

    Organizational ethical cli-

    mate

    An individuals perception of ethical proce-

    dures, policies, and behaviors in the organi-

    zation

    Victor and Cullen (1987, 1988),

    Cullen and Victor (1993)

    Knowledge management

    attitude

    An individuals psychological evaluation of

    organizational knowledge management in

    terms of the values of beneficial, pleasant,

    good, and enjoyable attributes

    Ajzen (1988)

    Knowledge management

    engagement

    An individuals perception of the degree to

    which they are involved in an organizations

    KM-related activities

    Kulkarni et al. (20062007)

    Knowledge management

    satisfaction

    An individuals perceptual evaluation of

    knowledge outcomes regarding the adequacyand accessibility of knowledge for the tasks

    Becerra-Fernandez and Sabherwal

    (2001), Kulkarni et al. (20062007)

    Job performance An individuals perception of the improve-

    ment of job quality, productivity, effective-

    ness, effortlessness, and so on

    Kulkarni et al. (20062007), Bontis

    and Serenko (2007)

    330 Fan-Chuan Tseng and Yen-Jung Fan

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    Measurement reliability and validity

    The assessment of measurement reliability and

    validity of other constructs is subsequently per-

    formed. As indicated in Table II, the reliability isaccepted, because the Cronbachs alpha value of each

    construct exceeds 0.6 (Robinson et al., 1991). All

    items are calculated using composite reliability (CR)

    to determine the internal consistency, which exceeds

    the generally recommended threshold value of 0.7

    (Nunnally and Bernstein, 1994). The convergent

    validity is also accepted with the factor loadings of

    each item greater than 0.5 (Steenkamp and Van

    Trijp, 1991). Because two constructs, knowledge

    management engagement and job performance, are

    derived separately from four subconstructs, to rep-resent the multidimensional relationships, we follow

    Edwards suggestion of performing a second-order

    CFA as well (Edwards, 2001). In addition, the dis-

    criminant validity is evaluated at the square roots of

    average variance extracted (AVE) and compared with

    the correlations between constructs (Chin, 1998). In

    Table III, good discriminant validity is proved be-

    cause the diagonal scores the square roots of the

    AVE are all greater than the correlations between

    pairs of constructs.

    Model estimation and hypothesis testing

    After examining the validity and reliability of the

    research construct, we use partial least squares (PLS)

    structural equation analysis to test the researchhypotheses. PLS is widely used in IS research be-

    cause of the minimal demands it makes on sample

    size and measurement scales. Moreover, PLS not

    only can be used for theory confirmation, it can also

    be utilized to suggest exploratory propositions for

    later testing (Chin, 1998; Gefen et al., 2000). The

    hypothesized relationships in the research model are

    estimated by SmartPLS 2.0 (Ringle et al., 2005).

    According to the previous identification of three

    types of organizational ethical climate self-interest,

    social responsibility, and law/professional codes, weexamine their specific relationships with the con-

    structs of knowledge management engagement

    (H1a, H1b, and H1c) and knowledge management

    attitudes (H2a, H2b, and H2c). All paths are signif-

    icant except for the links between self-interest and

    knowledge management engagement (H1a, b =

    -0.05), as well as self-interest and attitude toward

    knowledge management (H2a, b = 0.09). The re-

    sults demonstrate that an individuals concern for

    self-interest does not have a significant effect on his

    TABLE II

    Assessment of internal consistency and convergent validity

    Construct Cronbachs alpha Composite reliability Average variance extracted

    Self-interest 0.66 0.79 0.56

    Social responsibility 0.72 0.83 0.54

    Law and professional codes 0.77 0.85 0.59

    Knowledge management attitude 0.87 0.91 0.71

    Knowledge management engagement* 0.86 0.90 0.70

    Knowledge acquisition 0.85 0.88 0.52Knowledge storage 0.90 0.93 0.72

    Knowledge application 0.93 0.95 0.75

    Knowledge sharing 0.91 0.94 0.79

    Knowledge management satisfaction 0.93 0.94 0.60

    Job performance* 0.82 0.89 0.74

    Efficiency 0.69 0.83 0.61

    Effectiveness 0.68 0.82 0.60

    Quality 0.80 0.86 0.60

    *Two constructs knowledge management engagement and job performance are second-order factors after conducting

    the hierarchical factor analysis.

    331Organizational Ethical Climate and Knowledge Management

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    or her evaluation and participation in organizational

    knowledge management. Overall, an individuals

    perceptions of social responsibility and law/profes-

    sional codes both make significant impacts on his or

    her knowledge management behavior and attitude(H1b, H1c, H2b, and H2c). The positive relation-

    ship between knowledge management attitude and

    knowledge management engagement (H3) further

    contributes to ones satisfaction with organizational

    knowledge management (H4). Finally, the results

    demonstrate that job performance can be signifi-

    cantly enhanced by an individuals knowledge

    management engagement (H5) as well as their sat-

    isfaction with knowledge management (H6). All of

    the statistical estimates are summarized in Table IV.

    Differences across ethical climate orientations

    In this study, three ethical climate dimensions,

    including self-interest, social responsibility, and law/

    professional codes, are identified. The finding is con-

    sistent with the view that two or more types of ethical

    climate can coexist in an organization (Coldwell et al.,

    2008; Leung, 2008; Victor and Cullen, 1987). In order

    to identify the homogenous groups of organizational

    ethical climates, we adopted a hierarchical clustering

    method in this study to group the subjects with similarorganizational ethical climates. After the agglomera-

    tion schedule shows a two-cluster solution is optimal, a

    K-Means cluster analysis is used to divide the whole

    sample into two clusters (Hair et al., 1998). One

    hundred and fifty-seven samples are classified into

    cluster 1, being the higher level of all three ethical

    climate dimensions. Conversely, the remaining one

    hundred and forty individuals are classified as cluster 2,

    being the lower level of all three ethical climate

    dimensions. The means and standard deviations of the

    two clusters are shown in Table V.A one-way multivariate analysis of variance

    (MANOVA) was further adopted to evaluate the

    differences between the two clusters on the four

    KM-related constructs. Wilks lambda MANOVA

    omnibus test was significant F(4, 292) = 18.698,

    p = 0.00, and the null hypothesis that the KM-related

    construct did not differ was rejected. Table VI dem-

    onstrates the significant differences between the two

    clusters, indicating that the high-organizational ethi-

    cal climate cluster has more positive KM attitude, KM

    TABLEIII

    Assessmentofdiscriminantva

    lidity

    Constructs

    Mean

    SD

    Self-interest

    Social

    resp

    onsibility

    Lawand

    professionalcodes

    Know

    ledge

    manag

    ement

    attitude

    Know

    ledge

    management

    engagement

    Know

    ledge

    management

    satisfaction

    Job

    performance

    Self-interest

    2.96

    1.10

    0.74

    Socialresponsibility

    3.64

    0.77

    0.12

    0.74

    Lawandprofessionalcodes

    3.66

    0.78

    0.15

    0.50

    0.77

    Know

    ledgemanagementattitude

    3.92

    0.67

    0.15

    0.37

    0.39

    0.85

    Know

    ledgemanagementengagem

    ent3.61

    1.05

    0.03

    0.37

    0.32

    0.35

    0.84

    Know

    ledgemanagementsatisfaction

    3.61

    0.77

    0.09

    0.40

    0.44

    0.44

    0.62

    0.78

    Jobperformance

    3.59

    0.73

    0.05

    0.22

    0.25

    0.43

    0.53

    0.48

    0.86

    DiagonalelementsrepresentthesquarerootofAVEforeachconstruc

    t;offdiagonalelementsarecorrelatio

    nsamongconstructs.

    332 Fan-Chuan Tseng and Yen-Jung Fan

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    engagement, KM satisfaction, and job performance

    compared to the low-organizational ethical climate

    cluster. Additionally, the results reveal that the vari-

    ance of four KM-related constructs accounting for

    organizational ethical climate was 11.9% (KM atti-

    tude), 11.6% (KM engagement), 14.3% (KM satis-

    faction), and 4.9% (job performance).

    Discussion

    Since knowledge is usually regarded as private

    property, employees are probably afraid to lose their

    valued intellectual capital and advantages in the

    organization if they share their knowledge with

    other organizational members (Aedichvili et al.,

    TABLE IV

    Path assessment and hypothesis tests

    Dependent construct (R2) Independent construct Path coefficient t Value Result

    KM engagement (0.20) Self-interest -0.05 0.66 H1a Not supported

    Social responsibility 0.24 4.20 H1b supported

    Law/professional codes 0.12 1.74 H1c supported

    KM attitude 0.22 3.81 H3 supported

    KM attitude (0.20) Self-interest 0.09 1.34 H2a Not supported

    Social responsibility 0.23 4.22 H2b supported

    Law/professional codes 0.27 4.22 H2c supported

    KM satisfaction (0.38) KM engagement 0.62 14.70 H4 supported

    Job performance (0.32) KM engagement 0.38 6.10 H5 supported

    KM satisfaction 0.24 3.33 H6 supported

    TABLE V

    Means and standard deviations for the two clusters

    Constructs of ethical climates Cluster F values Significance of F

    1 (N = 157) 2 (N = 140)

    Mean SD Mean SD

    Self-interest 3.47 0.62 2.92 0.69 53.24 0.00

    Social responsibility 3.96 0.44 3.27 0.44 182.41 0.00

    Law/professional codes 4.01 0.44 3.26 0.49 189.29 0.00

    TABLE VI

    MANOVA test across two OEC clusters

    KM-related constructs Cluster F values Significance of F

    1 (N = 157) 2 (N = 140)

    Mean SD Mean SD

    KM engagement 3.84 0.61 3.38 0.54 39.77 0.00

    KM attitude 4.10 0.52 3.72 0.51 40.90 0.00

    KM satisfaction 3.82 0.54 3.37 0.54 50.33 0.00Job performance 3.70 0.44 3.48 0.47 16.33 0.00

    333Organizational Ethical Climate and Knowledge Management

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    2003; Detert and Edmondson, 2007). Thus, there

    may be an irreconcilable conflict between the pri-

    vate intellectual asset and collective knowledge in an

    organization. Interestingly, the research results

    indicate that three ethical levels egoism, benevo-lence, and universal principle all exist in our

    study. The hypotheses tested in this study are all

    supported, with the exception of the impact of

    peoples self-interest on their knowledge manage-

    ment engagement and attitude in the organization.

    Practically, social responsibility highlights the indi-

    viduals understanding of what is beneficial to the

    customers and the public. Law and professional

    codes reflect the universal principles to which

    individuals conform within the professional organi-

    zation, regardless of their personal preferences(Coldwell et al., 2008; Victor and Cullen, 1988).

    Wasko and Faraj (2000) argue that people are willing

    to engage in knowledge management because of

    their sense of moral obligation, rather than ones

    personal self-interest or expectation of reward.

    Obedience to organizational laws and professional

    standards implies consensus among members with

    respect to what is acceptable within the organization.

    In Kohlbergs cognitive view of judgment on an

    action as right or obligatory, an ethical behavior is

    promoted with the common objectives in the

    organization. Employees recognize how they oughtto behave and how their decisions or actions may

    affect others (McDaniel, 2004). Therefore, organi-

    zational ethical climate in terms of benevolence and

    principle can be developed to shape a cooperative

    relationship among the members, which will meet

    the shared expectations concerning the social ap-

    proval as well as the organizational benefits (Blau,

    1964; Thibaut and Kelley, 1986). Organizational

    members common agreement on knowledge as a

    public good formulates an ethical judgment in the

    determination of right and wrong behavior, facili-tating cooperation among members, and enhancing

    their perception of organizational knowledge man-

    agement attitude and behavior (Haslam, 2000,

    p. 385).

    In the realm of organizational behavior, personal

    value and rational consideration represent a superior

    level of moral development, emerging in accord

    with ones self-chosen ethical principle, apart

    from organizational normative authority (Damico,

    1982, p. 432). Thus, organizational members are not

    bound to create shared benefits unless they can

    subordinate their personal interests to collective

    objectives and core values (Janz and Prasarnphanich,

    2003; Leana and van Buren III, 1999). Interestingly,

    two clusters are identified in this article to examinethe effect of individuals evaluation of ethical cli-

    mates on knowledge management. The three

    dimensions of organizational ethical climate self-

    interests, social responsibility, and law/professional

    codes in cluster 1 are all shown to be higher than

    in cluster 2. The results demonstrate that the stron-

    ger the organizational ethical climate, the more

    positive attitude and participation in organizational

    knowledge management that arises. Meanwhile, job

    performance can be enhanced due to subsequent

    improvement in knowledge management satisfactionamong employees. This supports our assumption

    that knowledge management is influenced in a

    pronounced manner when individuals have stronger

    ethical climate perceptions. As a combination of

    organizational common knowledge and personal

    intellectual property, this finding also reveals that the

    organizational ethical climate does not constitute a

    prohibition against an individuals concern for

    self-interest, and vice versa. It may be seen to be

    consistent with Jarvenpaa and Staples (2001) con-

    tention that the perceptions of self-ownership and

    organizational collective ownership knowledge canco-exist and develop positive relationships within an

    organization.

    Our research results support the view that indi-

    viduals positive attitudes toward organizational

    knowledge management, indeed, can enhance their

    motivation to engage in organizational knowledge

    management activities. As more participation is

    activated by organizational members with more

    positive perceptual evaluation of organizational

    knowledge management, higher levels of satisfaction

    will become an important factor in enhancingindividuals job skills, effectiveness, and decision-

    making strategies. In sum, our research identifies the

    existence of organizational ethical climates, which

    helps individuals define who they might be and what

    they ought to do. It is normative and morally

    persuasive (Chan and Garrick, 2003) for people to

    engage in organizational knowledge management

    activities as part of their work ethics. Accordingly,

    we believe that with the appropriate organizational

    ethical climates, knowledge management, taken as

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    an organizational strategy and the achievement of

    shareholders values, will not only contribute to the

    job performance enhancement of an individual, but

    will lead to further improvement in the organiza-

    tions collective effectiveness.

    Conclusion and implication

    The purpose of this study is to explore how

    organizational ethical climates affect individuals

    perceptual values as well as their actions toward

    knowledge management. In this study, three ethical

    climate dimensions, namely self-interest, social

    responsibility, and law/professional codes, are iden-

    tified. These three ethical climate dimensions meetVictor and Cullens (1987) ethical climate criteria:

    egoism, benevolence, and principle, which are de-

    rived from the pre-conventional, conventional, and

    post-conventional orientations of moral develop-

    ment proposed by Kohlberg (1981). It is also con-

    sistent with Aristotles perspective that an individual

    is a member of the larger community and strives to

    pursue individual virtue by accomplishing personal

    self-interest and the greater public good (Solomon,

    2004). Ethical action is supported by individuals

    obedience of the moral principles and also conse-

    quence of ones moral identity with the self (Berg-man, 2004). The results of this research indicate that

    the concern for self-interest does exist but does not

    significantly affect the individuals evaluation of and

    behavior toward knowledge management. In this

    study, one possible explanation for this may be the

    stronger influence of social responsibility and law/

    professional codes on organizational knowledge

    management, which would lie in the cultural

    dimension-collectivism. Given the concept of col-

    lectivism, individuals with common interests and

    values appear to take collective and mutually bene-ficial actions (Earley and Gibson, 1998). Further-

    more, in-group norms and public recognition are

    more important than individual rewards in consid-

    eration of the groups accepted rules and standards of

    behavior. With the extension of ones self-concern

    to group cohesiveness, organizational members are

    expected to establish concordance with relevant

    groups, including managers, consumers, business

    partners, and other employees (Paul et al., 2006).

    According to Triandis et al. (1990), the orientation

    of collectivism reinforces organizational members

    willingness to help other people by sharing what

    they have owned. Organizational members can re-

    ceive others assistance when they need advice or

    solutions for various matters or problems. Thus,KM-related behavior is encouraged and achieved

    because the members sense of identity and obliga-

    tion merge together. With professional standards,

    group norms and emotional values being attached to

    the organization, individuals expect to share their

    ideas, information, and perspectives in a concern-

    for-others manner, rather than in a self-interested

    way (Brickson, 2000). This study suggests that the

    concept of collectivism deserves further exploration

    and discussion.

    The study essentially facilitates the development oftheoretical and practical designs that provide organi-

    zations and individuals with an understanding of how

    organizational ethical climate engenders and affects

    organizational members knowledge management

    participation. In terms of theoretical contribution,

    although many researchers have suggested the influ-

    ence of organizational culture or climate on knowl-

    edge management practice, there has been far less

    research conducted from the ethical climate per-

    spective. To address this issue, several constructs and

    hypothesized relationships are designated in our re-

    search model. The results of this study may assist inexploration of the claim discussed above. In terms of

    the practical application of this research, organization

    managers should be aware that any knowledge man-

    agement strategy or KMS adoption does not guar-

    antee the success of knowledge management. Since

    knowledge management practice is implemented in

    the social context, it is essential to understand the

    influence of different organizational ethical standards

    and levels of referent groups, organizational members

    perceptual evaluation of knowledge management

    practice and the subsequent outcomes.Although we pay considerable attention to the

    research design and data analysis, there still remain

    several limitations in this research. First, the process

    of individuals moral reasoning and ethical concern

    for organizational knowledge management is not

    discussed comprehensively in this article. Not only

    the obligatory acceptance of principles in organiza-

    tions, but individual s ethical decision making also

    exerts the influence on ones perception and judg-

    ment on the ethical behavior. As Jones (1991) and

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    Gross (1995) note in the review of Kohlberg and

    Rests ethical models, ethical judgments and partic-

    ipation of collective action are moderated by indi-

    vidual factors ego strength, tendency of field

    dependence, and locus of control as well as situ-ational factors including job context, organizational

    culture, and work incentives. In our study, organi-

    zational ethical climate is considered as the norms

    and collective value of the group, instead of the

    individual characteristics. However, the function of

    individual ethical reasoning process and personal

    characteristics has been emphasized in several stud-

    ies. The connection between psychological factors

    and moral judgments deserves more attention for the

    future study. Second, it is a cross-sectional quanti-

    tative study to understand employees perception of

    organizational ethical climate, which does not col-

    lect more specific and sufficient opinions about

    organizational knowledge management. Future re-

    search may benefit from conducting a longitudinal

    qualitative approach to ascertain more critical ante-cedents in determination of knowledge management

    activities. Third, the research data were collected by

    convenience sampling technique. It will be necessary

    to adopt more rigid sampling methods, like simple

    random sampling or systematic sampling, so as to

    generalize the research results. In addition, the re-

    search subjects come from various industry domains.

    It would perhaps be more useful for future studies to

    focus on one specific industry to understand the

    main features of organizational knowledge manage-

    ment in that particular industry.

    Summary of measurement and scale properties

    Original item Measurement Mean SD Factor loading

    Self-interest

    SI1 In this company, people are, by and large,

    pursuing their own interests

    2.76 1.04 0.59

    SI2 There is no room for ones own personal

    morals or ethics in this company

    3.07 0.90 0.77

    SI3 In this company, people protect their own

    interest above other considerations

    3.81 0.79 0.86

    Social responsibility

    SR1 It is expected that you will always do what is

    right for the customer and public

    3.87 0.69 0.66

    SR2 People in this company have a strong sense of

    responsibility to the outside community

    3.56 0.76 0.74

    SR3 People in this company are actively con-

    cerned about the customers, and the publics

    interest

    3.51 0.79 0.81

    SR4 The effect of decisions on the customer and

    the public is a primary concern in this com-

    pany

    3.61 0.77 0.74

    Law and professional codes

    LA1 The first consideration is whether a decision

    violates any law

    3.76 0.84 0.73

    LA2 People are expected to comply with the law

    and professional standards over and above

    other considerations

    3.57 0.80 0.80

    Appendix 1

    336 Fan-Chuan Tseng and Yen-Jung Fan

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    APPENDIX

    continued

    Original item Measurement Mean SD Factor loading

    LA3 In this company, people are expected strictly

    to follow legal or professional standards

    3.76 0.71 0.77

    LA4 In this company, the law or ethical code of

    their profession is the major consideration

    3.54 0.75 0.78

    Knowledge management attitude

    A1 I think participation in organizational

    knowledge management is good

    3.99 0.63 0.87

    A2 I think participation in organizational

    knowledge management is beneficial

    4.02 0.60 0.88

    A3 I think participation in organizational

    knowledge management is valuable

    4.00 0.62 0.88

    A4 I think participation in organizationalknowledge management is pleasant 3.67 0.76 0.75

    Knowledge management engagement: knowledge acquisition

    C1 I acquire the knowledge that I need by

    referring to internal documents or data files in

    my organization

    3.59 0.90 0.81

    C2 I acquire the knowledge that I need by

    referring to work manuals or regulations

    3.42 0.96 0.79

    C3 I acquire the knowledge that I need by

    attending conferences or reviewing confer-

    ence notes

    3.44 0.92 0.70

    C4 I acquire the knowledge that I need by

    attending professional lectures or undergoing

    educational training

    3.36 0.99 0.76

    C5 I acquire the knowledge that I need by using

    professional databases or web sites

    3.74 0.95 0.69

    C6 I acquire the knowledge that I need by asking

    my colleagues or supervisors

    3.77 0.84 0.65

    C7 I acquire the knowledge that I need by asking

    professionals in other related domains

    3.47 0.94 0.67

    Knowledge storage

    C8 I keep records of working knowledge in a

    written format

    3.71 1.01 0.84

    C9 I keep records of working knowledge as

    standardized procedures

    3.41 1.15 0.85

    C10 I keep records of working knowledge in theinformation system

    3.48 1.13 0.88

    C11 I often update the work-related profile for

    further use

    3.42 1.08 0.84

    C12 I store the work-related rules or regulations

    in a written format or information system

    3.42 1.12 0.82

    Knowledge application

    C13 I use knowledge to deal with work effectively 3.62 0.90 0.88

    C14 I use knowledge to solve problems 3.69 0.91 0.91

    C15 I use knowledge to improve efficiency 3.66 0.89 0.91

    337Organizational Ethical Climate and Knowledge Management

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    APPENDIX

    continued

    Original item Measurement Mean SD Factor loading

    C16 I use knowledge to enhance my professional

    capabilities

    3.69 0.91 0.92

    C17 I use knowledge to develop new products or

    services

    3.30 1.08 0.79

    C18 I use knowledge to satisfy customers needs 3.46 1.09 0.80

    Knowledge sharing

    C19 I am prepared to transfer my knowledge or

    experience to others

    3.86 0.82 0.89

    C20 When discussing with my colleagues, I pro-

    vide my opinions as much as I can

    3.74 0.9 0.86

    C21 When colleagues encounter problems, I try

    my best to respond and provide the necessaryinformation, documents, or techniques to

    them

    3.96 0.74 0.91

    C22 I am willing to provide the opportunities for

    inexperienced colleagues to learn and try

    4.01 0.78 0.89

    Knowledge management satisfaction

    D1 Im satisfied with the availability of knowl-

    edge for my tasks

    3.71 0.74 0.75

    D2 The available knowledge improves my

    effectiveness in performing tasks

    3.78 0.74 0.73

    D3 Im satisfied with the management of

    knowledge I need

    3.58 0.77 0.78

    D4 Im satisfied with the knowledge available for

    the tasks under my direction

    3.70 0.67 0.81

    D5 Im satisfied with knowledge sharing among

    individuals under my direction

    3.79 0.70 0.78

    D6 The available knowledge improves the

    effectiveness of my directing

    3.69 0.71 0.76

    D7 Im satisfied with the management of

    knowledge under my direction

    3.51 0.74 0.82

    D8 Im satisfied with the knowledge available for

    various tasks across my organization

    3.50 0.78 0.79

    D9 Im satisfied with knowledge sharing among

    various directorates in my organization

    3.45 0.84 0.75

    D10 The available knowledge improves the

    organizations overall effectiveness

    3.55 0.79 0.77

    D11 Im satisfied with the management of

    knowledge in my organization

    3.44 0.82 0.79

    Job performance: efficiency

    E1 The amount of work I finish exceeds the

    expectations of my boss

    3.54 0.70 0.77

    E2 I am able to finish the work that my boss

    requires of me before the deadline

    3.87 0.61 0.78

    E3 I can reduce the time needed to complete a

    routine task

    3.63 0.73 0.80

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    References

    Aedichvili, A., V. Page and T. Wentling: 2003, Moti-

    vation and Barriers to Participation in Virtual

    Knowledge-Sharing Communities of Practice, Journal

    of Knowledge Management 7(1), 6477.

    Ajzen, I.: 1988, Attitudes, Personality, and Behavior(Dorsey

    Press, Chicago, IL).

    Ajzen, I.: 2001, Nature and Operation of Attitude,

    Annual Review of Sociology 52, 2758.

    Alavi, M., T. R. Kayworth and D. E. Leidner:

    20052006, An Empirical Examination of the Influ-

    ence of Organizational Culture on Knowledge Man-

    agement Practices, Journal of Management Information

    Systems 22(3), 191224.

    Alavi, M. and D. E. Leidner: 2001, Review: KnowledgeManagement and Knowledge Management Systems:

    Conceptual Foundations and Research Issues, MIS

    Quarterly 25(1), 107136.

    Alavi, S. B. and J. McCormick: 2004, Theoretical and

    Measurement Issues for Studies of Collective Orientation

    in Team Contexts, Small Group Research35(2), 111127.

    Anantatmula, V. S.: 2007, Linking KM Effectiveness

    Attributes to Organizational Performance, VINE: The

    Journal of Information and Knowledge Management Systems

    37(2), 133149.

    Ardichvili, A., V. Page and T. Wentling: 2003, Moti-

    vation and Barriers to Participation in Virtual

    Knowledge-Sharing Communities of Practice, Journal

    of Knowledge Management7(1), 6477.Barnett, T. and C. Vaicys: 2000, The Moderating Effect

    of Individuals Perceptions of Ethical Work Climate

    on Ethical Judgements and Behavioral Intentions,

    Journal of Business Ethics 27, 351362.

    Becerra-Fernandez, I. and R. Sabherwal: 2001, Orga-

    nizational Knowledge Management: A Contingency

    Perspective, Journal of Management Information Systems

    18(1), 2355.

    Bergman, R.: 2004, Identity as Motivation: Toward a

    Theory of the Moral Self, in D. K. Lapsley and

    D. Narvaez (eds.), Moral Development, Self, and Identity

    (Lawrence Erlbaum Associates, London), pp. 2146.Blau, P. M.: 1964, Exchange and Power in Social Life

    (Wiley, New York).

    Boadie, S.: 1994, Ethics with Aristotle (Oxford University

    Press, New York).

    Bock, G. W. and Y. G. Kim: 2002, Breaking the Myths

    of Rewards: An Exploratory Study of Attitudes About

    Knowledge Sharing, Information Resource Management

    Journal15(2), 1421.

    Bock, G.-W., R. W. Zmud, Y.-G. Kim and J.-N. Lee:

    2005, Behavioral Intention Formation in Knowledge

    APPENDIX

    continued

    Original item Measurement Mean SD Factor loading

    Job performance: effectiveness

    E4 My work performance always exceeds the

    objective that my boss sets

    3.70 0.70 0.86

    E5 I can make creative and useful suggestions for

    the organization

    3.33 0.78 0.62

    E6 I always satisfy the customers needs 3.64 0.68 0.83

    Job performance: quality

    E7 I have never been late in my work or caused

    any harm due to personal carelessness

    3.36 0.80 0.66

    E8 I have never received any complaints about

    bad performance

    3.39 0.80 0.73

    E9 My boss has always been satisfied with mywork performance 3.53 0.65 0.82

    E10 I cooperate well with my colleagues, and

    have their respect and support

    3.68 0.68 0.76

    E11 I interact well with colleagues in other

    departments, and have their trust and respect

    3.80 0.65 0.77

    339Organizational Ethical Climate and Knowledge Management

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    Sharing: Examining the Roles of Extrinsic Motivators,

    Social-Psychological Forces, and Organizational Cli-

    mate, MIS Quarterly 29(1), 87111.

    Bontis, N. and J. Fitz-enz: 2002, Intellectual Capital

    ROI: A Causal Map of Human Capital Antecedentsand Consequents, Journal of Intellectual Capital 3(3),

    223247.

    Bontis, N. and A. Serenko: 2007, The Moderating Role

    of Human Capital Management Practices on Em-

    ployee Capabilities, Journal of Knowledge Management

    11(3), 3151.

    Brickson, S.: 2000, The Impacts of Identity Orientation

    on Individual and Organization Outcomes in Demo-

    graphically Diverse Settings, The Academy of Manage-

    ment Review25(1), 82101.

    Brown, J. S. and P. Duguid: 2001, Knowledge and

    Organization: A Social-Practice Perspective, Organi-

    zation Science 12(2), 198213.

    Chan, A. and J. Garrick: 2003, The Moral Technolo-

    gies of Knowledge Management, Information, Com-

    munication & Society 6(3), 291306.

    Chin, W. W.: 1998, The Partial Least Square Approach

    to Structural Equation Modeling, in G. A. Marcou-

    lides (ed.), Modern Methods for Business Research (Law-

    rence Erlbaum Associates, Mahwah, NJ), pp. 295336.

    Clark, J. W. and L. E. Dawson: 1996, Personal Reli-

    giousness and Ethical Judgements: An Empirical

    Analysis, Journal of Business Ethics 15(3), 359372.

    Coldwell, D. A., J. Billsberry, N. van Meurs and P. J. G.

    Marsh: 2008, The Effects of Person OrganizationEthical Fit on Employee Attraction and Retention:

    Towards a Testable Explanatory Model, Journal of

    Business Ethics 78(4), 611622.

    Cronin, J. J. Jr., M. K. Brady and G. T. M. Hult: 2000,

    Assessing the Effects of Quality, Value, and Customer

    Satisfaction on Consumer Behavioral Intentions in

    Service Environments, Journal of Retailing 76(2), 193.

    Cullen, J. B. and B. Victor: 1993, The Ethical Climate

    Questionnaire: An Assessment of its Development and

    Validity, Psychological Reports 73, 667674.

    Damico, A. J.: 1982, The Sociology of Justice: Kohlberg

    and Milgram, Political Theory 10(3), 409434.

    Davenport, T. H. and L. Prusak: 1998, Working Knowl-

    edge: How Organizations Manage What They Know

    (Harvard Business School Press, Boston, MA).

    de Jager, M.: 1999, The KMAT: Benchmarking Knowl-

    edge Management, Library Management20(7), 367372.

    DeLone, W. H. and E. R. McLean: 1992, Information

    Systems Success: The Quest for the Dependent Vari-

    able, Information Systems Research 3(1), 6095.

    DeLong, D. W. and L. Fahey: 2000, Diagnosing Cultural

    Barriers to Knowledge Management, Journal of Man-

    agement Executive 14(4), 113127.

    Detert, J. R. and A. C. Edmondson: 2007, Why

    Employees Are Afraid to Speak, Harvard Business

    Review85(5), 2325.

    Dixon, N. M.: 2000, Common Knowledge: How Companies

    Thrive by Sharing What They Know (Harvard BusinessSchool Press, Boston, MA).

    Dubinsky, A. J. and B. Loken: 1989, Analyzing Ethical

    Decision Making in Marketing, Journal of Business

    Research 19(2), 83107.

    Duncan, W. J.: 1986, Ethical Issues in the Development

    and Application of Business and Management

    Knowledge, Journal of Business Ethics 5(5), 391400.

    Earley, P. C. and C. B. Gibson: 1998, Taking Stock in

    Our Progress on Individualism-Collectivism:

    100 Years of Solidarity and Community, Journal of

    Management24(3), 265304.

    Edwards, J. R.: 2001, Multidimensional Constructs in

    Organizational Behavior Research: An Integrative

    Analytical Framework, Organizational Research Methods

    4(2), 144192.

    Gefen, D., D. W. Straub and M.-C. Boudreau: 2000,

    Structural Equation Modeling and Regression:

    Guidelines for Research Practice, Communications of

    the Association for Information Systems 4(7), 176.

    Gilbert, M. and M. Gordey-Hayes: 1996, Understanding

    the Process of Knowledge Transfer to Knowledge

    Transfer to Achieve Successful Technological Innova-

    tion, Technovation 16(6), 301312.

    Gold, A. H., A. Malhotra and A. H. Segars: 2001,

    Knowledge Management: An Organizational Capa-bilities Perspective, Journal of Management Information

    Systems 18(1), 185214.

    Gross, M. L.: 1995, Moral Judgment, Organizational

    Incentives and Collective Action: Participation in

    Abortion Politics, Political Research Quarterly 48(3),

    507534.

    Hair, J. F., R. E. Anderson, R. L. Tatham and W. C.

    Black: 1998, Multivariate Data Analysis, 5th Edition

    (Prentice Hall, Upper Saddle River, NJ).

    Haslam, S. A.: 2000, Psychology in Organizational: The

    Social Identity Approach (Sage, London).

    Janz, B. D. and P. Prasarnphanich: 2003, Understanding

    the Antecedents of Effective Knowledge Management:

    The Importance of a Knowledge-Centered Culture,

    Decision Sciences 34(2), 351384.

    Jarvenpaa, S. L. and D. S. Staples: 2001, Exploring Per-

    ceptions of Organizational Ownership of Information

    and Expertise, Journal of Management Information Systems

    18(1), 151183.

    Jarvenpaa, S. L., K. Knoll and D. E. Leidner: 1998, Is

    Anybody Out There? Antecedents of Trust in Global

    Virtual Teams, Journal of Management Information Sys-

    tems 14(4), 2964.

    340 Fan-Chuan Tseng and Yen-Jung Fan

  • 7/29/2019 etica y KM

    17/19

    Jones, T. M.: 1991, Ethical Decision Making by Indi-

    viduals in Organizations: An Issue-Contingent Model,

    Academy of Management review16(2), 366395.

    Kohlberg, L.: 1981, The Philosophy of Moral Development

    (Harper & Row, New York).Kulkarni, U. R., S. Ravindran and R. Freeze:

    20062007, A Knowledge Management Success

    Model: Theoretical Development and Empirical Val-

    idation, Journal of Management Information Systems

    23(3), 309347.

    Kuo, F.-Y. and M.-L. Young: 2008a, Predicting

    Knowledge Sharing Practices Through Intention: A

    Test of Competing Models, Computers in Human

    Behavior24(6), 26972722.

    Kuo, F.-Y. and M.-L. Young: 2008b, A Study of the

    Intention-Action Gap in Knowledge Sharing Prac-

    tices, Journal of the American Society for Information Sci-

    ence and Technology 59(8), 12241237.

    Leana, C. R. and H. J. van Buren III: 1999, Organiza-

    tional Social Capital and Employment Practices,

    Academy of Management Review24(3), 538555.

    Lee, K. C., S. Lee and I. W. Kang: 2005, KMPI: Mea-

    suring Knowledge Management Performance, Infor-

    mation and Management42, 469482.

    Leung, A. S. M.: 2008, Matching Ethical Work Climate

    to In-Role and Extra-Role Behaviors in a Collectivist

    Work Setting, Journal of Business Ethics 79(1), 4355.

    Malloy, D. C. and J. Agarwal: 2003, Factors Influencing

    Ethical Climate in a Nonprofit Organisation: An

    Empirical Investigation, International Journal of Non-profit and Voluntary Sector Marketing8(3), 224250.

    McCann, J. E. and M. Buckner: 2004, Strategically

    Integrating Knowledge Management Initiatives, Jour-

    nal of Knowledge Management 8(1), 4763.

    McDaniel, C.: 2004, Organizational Ethics: Research and

    Ethical Environments (Ashgate, Burlington, VT).

    McDermott, R.: 1999, Why Information Technology

    Inspired but Cannot Deliver Knowledge Manage-

    ment, California Management Review41(4), 103117.

    McDermott, R. and C. ODell: 2001, Overcoming

    Cultural Barriers to Sharing Knowledge, Journal of

    Knowledge Management5(1), 7685.

    Michailova, S. and K. Husted: 2003, Knowledge-Sharing

    Hostility in Russian Firms, California Management

    Review45(3), 5977.

    Michailova, S. and K. Hutchings: 2006, National Cul-

    tural Influences on Knowledge Sharing: A Compari-

    son of China and Russia, Journal of Management Studies

    43(3), 383405.

    Mulki, J. P., J. F. Jaramillo and W. B. Locander: 2008,

    Critical Role of Leadership on Ethical Climate and

    Salesperson Behaviors, Journal of Business Ethics 86(2),

    125141.

    Nahapiet, J. and S. Ghoshal: 1998, Social Capital,

    Intellectual Capital, and Organizational Advantage,

    Academy of Management Review23(2), 242266.

    Nunamaker, J. F., N. C. Romano and R. O. Briggs:

    20012002, Increasing Intellectual Bandwidth: Gen-erating Value from Intellectual Capital with Informa-

    tion Technology, Group Decision and Negotiation 11(2),

    6986.

    Nunnally, J. C. and I. H. Bernstein: 1994, Psychometric

    Theory, 3rd Edition (McGraw-Hill, New York).

    OBoyle, E. J. and J. L. E. Dawson: 1992, The

    American Marketing Association Code of Ethics:

    Instructions for Marketers, Journal of Business Ethics

    11(12), 921932.

    Ong, C.-S. and J.-Y. Lai: 2007, Measuring User Satis-

    faction with Knowledge Management Systems: Scale

    Development, Purification, and Initial Test, Computers

    in Human Behavior23, 13291346.

    Palvia, P. C.: 1996, A Model and Instrument for Measuring

    Small Business User Satisfaction with Information Tech-

    nology, Information and Management31(3), 151163.

    Paul, P., A. Roy and K. Mukhopadhyay: 2006, The

    Impact of Cultural Values on Marketing Ethical

    Norms: A Study in India and the United States,

    Journal of International Marketing14(4), 2856.

    Peterson, D. K.: 2002, The Relationship Between

    Unethical Behavior and the Dimensions of the Ethical

    Climate Questionnaire, Journal of Business Ethics 41,

    313326.

    Pfeffer, J. and R. Sutton: 1999, The Smart-Talk Trap,Harvard Business Review77(3), 134142.

    Reichers, A. E. and B. Schneider: 1990, Organizational

    Climate and Culture (Jossey-Bass, San Francisco, CA).

    Ringle, C. M., S. Wende and A. Will: 2005, Smartpls.

    2.0 (Beta), http://www.smartpls.de. Retrieved 27

    April 2009.

    Robinson, J. P., P. R. Shaver and L. S. Wrightsman:

    1991, Criteria for Scale and Evaluation, in J. P.

    Robinson, P. R. Shaver and L. S. Wrightsman (eds.),

    Measures of Personality and Social Psychological Attitude

    (Academic Press, San Diego, CA).

    Ruppel, C. P. and S. J. Harrington: 2000, Sharing

    Knowledge Through Intranets: A Study of Organiza-

    tional Culture and Intranet Implementation, IEEE

    Transactions of Professional Communication 44(1), 3752.

    Schein, E. H.: 1985, Organizational Culture and Leadership

    (Jossey-Bass, San Francisco, CA).

    Schneider, B.: 1983, Work Climates: An Interactionist

    Perspective, in N. W. Feimer and E. S. Geller (eds.),

    Environmental Psychology: Directions and Perspectives

    (Praeger, New York), pp. 106128.

    Shin, M., T. Holden and R. A. Schmidt: 2001, From

    Knowledge Theory to Management Practice: Towards

    341Organizational Ethical Climate and Knowledge Management

    http://www.smartpls.de/http://www.smartpls.de/
  • 7/29/2019 etica y KM

    18/19

    an Integrated Approach, Information Processing and

    Management37, 335355.

    Smircich, L.: 1983, Concepts of Culture and Organiza-

    tional Analysis, Administrative Science Quarterly 28,

    338358.Solomon, R. C.: 2004, Aristotle, Ethics and Business

    Organizations, Organization Studies 25(6), 10211043.

    Steenkamp, J. B. E. M. and H. C. M. Van Trijp:

    1991, The Use of LISREL in Validating Marketing

    Constructs, International Journal of Research in Marketing

    8(4), 283299.

    Szulanski, G.: 1996, Exploring Internal Stickiness:

    Impediments to the Transfer of Best Practice Within

    the Firm, Strategic Management Journal17(special issue:

    knowledge and the firm), 2743.

    Tesluk, P. E., J. L. Farr and S. R. Klein: 1997, Influences

    of Organizational Culture and Climate on Individual

    Creativity, Journal of Creative Behavior 31(1), 2741.

    Thibaut, J. W. and H. H. Kelley: 1986, The Social

    Psychology of Groups (John Wiley & Sons, New

    Brunswick, NJ).

    Tiwana, A.: 2000, The Knowledge Management Toolkit:

    Practical Techniques for Building a Knowledge Management

    System (Prentice Hall, Upper Saddle River, NJ).

    Triandis, H. C., C. McCusker and C. H. Hui: 1990,

    Multimethod Probes of Individualism and Collectiv-

    ism, Journal of Personality and Social Psychology 59(5),

    10061020.

    Victor, B. and J. B. Cullen: 1987, A Theory and

    Measure of Ethical Climate in Organizations, inW. C. Frederick (ed.), Research in Corporate Social

    Performance and Policy, Vol. 9 (JAI Press, Greenwich,

    CT), pp. 5171.

    Victor, B. and J. B. Cullen: 1988, The Organizational

    Bases of Ethical Work Climate, Administrative Science

    Quarterly 33, 101125.

    Wasko, M. M. and S. Faraj: 2000, It Is What One

    Does: Why People Participate and Help Others in

    Electronic Communities of Practice, Journal of Strategic

    Information Systems 9(2/3), 155173.

    Wimbush, J. C., J. M. Shepard and S. E. Markham: 1997,An Empirical Examination of the Relationship Be-

    tween Ethical Climate and Ethical Behavior from

    Multiple Levels of Analysis, Journal of Business Ethics

    16, 17051716.

    Wixom, B. H. and P. A. Todd: 2005, A Theoretical

    Integration of User Satisfaction and Technology

    Acceptance, Information Systems Research 16(1), 85102.

    Yu, S.-H., Y.-G. Kim and M.-Y. Kim: 2007, Do We

    Know What Really Drives km Performance?, Journal

    of Knowledge Management11(6), 3953.

    Fan-Chuan Tseng

    Department of Business and Management,National University of Tainan,

    No. 33, Sec. 2, Shu-Lin St., Tainan,

    Taiwan, ROC

    E-mail: [email protected]

    Yen-Jung Fan

    Department of Information Management,

    Chang Jung Christian University,

    Tainan County, Taiwan, ROC

    342 Fan-Chuan Tseng and Yen-Jung Fan

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