1 CHAPTER I INTRODUCTION 1.1 Introduction In today‘s knowledge-intensive economy, knowledge is recognized as power and the critical element for organizations to gain competitive advantage (Ipe, 2003; Lin, 2007; Kuo and Young, 2008b; Lee and Choi, 2003; Chuang, 2004; Huang et. al, 2006). The pivotal competitive advantages are related with the acquisition, creation, manipulation, interpretation, and application of knowledge and information (Stata, 1989 as cited in Van Den Brink, 2003). Therefore, organizations emphasized knowledge management (KM) extensively and adopted knowledge management systems (KMS) as a tool to capture the organizational knowledge for retaining their competitive edge in knowledge-based economy (Hansen and Avital, 2005; Kuo and Young, 2008b). The realization of knowledge sharing (KS) as an important element in business strategies formulation directly contributes to the competitiveness, effectiveness and performance of an organization (Dung, 2008) as it increase the organizational flexibility to cope with unpredictable circumstances (F u, 2004). Through KS, the enhanced ability of creating, sustaining, and transferring the knowledge substantially impact on organization performance (Du et al., 2007). For Instances, the chairman and CEO of Chevron, Ken Derr indicated an unemployed good idea represent a loss of opportunity and his ideas about using KS (KS) network for sharing ideas on energy-use management saved 650 million US dollar for his company (O‘Dell and Grayson, 1998). 2 Globalization and technological advancement forces countries to create a knowledge-based economy. In 1991, the government of Malaysia has conceptualized a vision for Malaysia as to become a fully developed nation in the dimension of economic, politic, social, spiritual, psychology and culture by the year 2020. By understanding the vital need for knowledge as input for economy, Malaysia have formulated Knowledge-based Economy Master Plan for pursuing knowledge-based economy as to transform from a production-based economy (Ministry of Finance, 2002). For attaining the Vision 2020, one of the seven critical aspects in the Knowledge-based Economy Master Plan is to develop the public sector into K-based Civil Service (Ministry of Finance,2002). Suhaimee et al.(2006) pointed out that Kbased Civil Service is achievable through development of a skilled and knowledgebased public sector. Malaysian higher education institution is demanded to play their own role by producing knowledgeable manpower or knowledge worker for Malaysia as the strategy to facilitate Malaysia moving toward Knowledge-based Economy (Ministry of Finance, 2002). Thus, sharing knowledge resources in higher education institution play an integral role in producing knowledgeable manpower. On the other hand, Drucker (1997) asserts that the productivity of knowledge workers in generating knowledge is becoming the critical dynamic in the world economy (as cited in Van Den Brink, 2003). Knowledge creation could enhance the research and development of products while changing the market consumption behaviors. For instances, the products walk man have been replaced by MP3. Jain et al. (2006) regarded higher education institution as a pool of knowledge where the knowledge of academic staff created or discovered is resided in their minds and act as the intellectual capital of the institution. They advocate only through KS, knowledge could be access by others and through the shared knowledge it e nabling the creation of competitive advantageous. Thus, the knowledge has its own true value through availability of sharing. This also indicated Malaysia public higher education institutions have to go beyond the responsibility in preparing knowledgeable human resources and providing knowledge. To further extent, Malaysia public higher education institutions are required to prepare a platform for KS and knowledge creation as to create national competitive advantageous towards achieving the idea of knowledge-based economy country. 3 1.2 Background of the Research Nowadays, education is under the same pressures of the marketplace as education institution have started applying KM as to increase their efficiency and effectiveness, and to promote the creation and sharing of knowledge (Bottino, 2007). Brown and Duguid (1996) and Duderstadt (2001) advocates the intense changes in competition have made higher education institution to adopt business thinking. Due to the impact of globalization, the educational markets have expanded and impel universities to internationalize their curricula in order to offer high quality programs to all people over the world (Na Ubon and Kimble, 2002; Wan et al., 2008). In this pursuit, educational institution as well as organizations is attempting to apply KM for encouraging the creation and sharing of knowledge (Na Ubon and Kimble, 2002). The quantitative research by Suhaimee et al.(2005) on 17 public higher education institutions in Malaysia showed that only 47.1 percent of universities have confirmed that they have implement KM, other 29.4 percent universities claimed that they do not implement KM while 17.5 percent universities do not sure about KM implement in their organization. In their study, only one university confirmed that they have fully implement KM and the others are in the initial stages or still in progress or not starting to implement KM yet. Besides that, only 29.4 percent of the public universities claimed that the KS culture is existing in their organization. More then half of the respondents identified promotion, job assessment and incentives are the motivators for supporting KS culture. Sohail and Daud (2009) have done a cross-sectional survey on KS among academic staff in business and management schools of both public and private university and colleges in Malaysia. Their study identified that the nature of knowledge (implicit and explicit knowledge), working culture, staff attitude, motivation to share and opportunities to share are having a significant relationship with KS in the public universities. Besides their survey findings also reveal that the perceived organizational support is a less effective motivation practice for KS, for instances, they highlight the low scores on using recognition as a non-monetary reward for KS. 4 Jain et al. (2007) have done a survey on investigating the barriers and the encouraging mechanisms of academic staffs‘ KS in 26 public and private Business Schools in the Klang Valley. They discovered that most of the respondents regard KS is vital and around 60 percent of respondents agree that importance of KS was clearly communicated in their institutions. The T-test result showed that in public universities the need for sharing knowledge was much better communicated than private university. The identified barriers in this study are the lacking of rewards and recognition, time, formal and informal activities to promote KS. From the view of strategies, the support of university top management support and technology are seemed as the effective means for promoting KS. Integrated information technology (IT) in KM is a good a way to manage knowledge systematically and effectively as higher institutions could extract the right knowledge from people‘s mind and store it in repositories of information for later distribution (Tiwana and Ramesh, 2001). In education setting, Duderstadt (2001) purported IT have enhance and enrich teaching and scholarship by enabling creating, preserving, integrating, transmitting, and applying knowledge in an effective way. Furthermore, with the used of IT, better audio and visual aids is being produced as a tool for teaching. This implied that IT could increase research‘s efficiency and effectiveness in the aspect of creating, capturing, sharing, retrieving and storing of knowledge. In Malaysia, Abdul Hamid and Suberamany (2009) stated that majority of the higher education institution outsource IT/IS elements, such as wired/wireless network, portal/website, internet/intranet security, e- mail services, database/legacy system, system application and e-Learning. This indicated Malaysian higher education institution have invested on IT/IS elements as the foundation of KM implementation and used technology to support KS activities. All in all, KS is the integral part in knowledge creation, and being viewed as one of the most critical parts in KM activities (Jain et al., 2007; Lee and Ahn, 2007) especially in the educational institutions where provide knowledge to the community. Hence, the facilitators of KSI in the context of educational institution are being investigated in this study. 5 1.3 Proble m State ment KS is a vital topic of interest for academic staff in higher education institution as Mohd Alwi et al. (2008) postulated the main purpose of KM is to capture and share the knowledge. Knowledge is required to be persistently updated especially in this information explosion age. Therefore, KS is seemed as a crucial part for educational institutions‘ role in their core business of creating and providing knowledge. In the same view, for Malaysian public higher education institutions‘ academic staff, KS is an essential element in increasing their efficiency and effectiveness of performance both in teaching and research. However, the most general problem faced by an organization in KS is knowledge hoarding. In fact, employees are unwilling to share their knowledge because when they pose rare knowledge, they will have the higher reputation as well as job security (Sun et. al, 2009). To them sharing the knowledge means losing of power and only makes themselves become less valuable. Constant et al., (1994) propose that people would weight KS as social good or personal cost. When people perceived KS as a social good, they will more willing to share. In contrast, when people regarded KS as a personal cost, they will less willing to share. Thus, understanding the motivating factors of KSI becomes the interest of this study. On the other hand, the scholars (Kankanhalli et al., 2005; O‘Dell and Grayson, 1998) claimed that resistance of employees to use KMS has causes the failure of KM initiative. This indicated that understanding the resistance to use technology is essential in KS, as to ensure the allocation of budget for technology is valuable. Implementing KM with technology does not assure the success of the KM (Chennamaneni, 2006; Kankanhalli et al., 2005; Tuomi,1999), social factors may enhance or inhibit KS behaviors(Kuo and Young, 2008b), hence researchers are keen to understand the underlying forces of these factors. Unwillingness to share is not cause by a single reason (Ford, 2004 ; Mohd Alwi et al., 2008; Farn and Fu, 2004). Researchers (Riege, 2005; Lin, 2007; Connelly and Kelloway, 2003; Taylor and Wright, 2004; Md Saad et al., 2005; Ford, 2004) acknowledge through the context of individual and psychological, organizational, 6 and technology, the factors that influence KS could be viewed in a more comprehensive way. On the other hand, the changing organizational members‘ attitudes and behaviors in KS is vital in building KS culture (Connelly and Kelloway, 2003; Lin and Lee, 2004; Lin, 2007). To fill this gap, this research is aimed to explore individual and psychological factors, organizational factors and technological factor that can affect KSI by using TPB as a theoretical framework in order to contribute successful KM implementation in Malaysian public higher education institutions. 1.4 Purpose of Study This study aim to study the influences of individual and psychological factors (anticipated reciprocal relationship, anticipated extrinsic rewards, knowledge selfefficacy and trust), organizational factors (fairness, affiliation and task interdependence) and technological factor (controllability of ICT) on the knowledge sharing intention (KSI) among academic staffs by adapting TPB as the theoretical framework. Based on TPB, the KSI predictors are attitude, subjective norm (SN), and perceived behavioral control (PBC). 1.5 Research Question The research questions (RQ) in this research are as follows: RQ 1: What are the level of KSI, KSI predictors, individual and psychological factors, organizational factors and technological factor? RQ2: What is the relationship between predictors of KSI and KSI? RQ3: What are the relationships between individual and psychological factors, organizational factors and technological factor and KSI predictors? RQ4: Which are the most dominant predictors of KSI? RQ5: Which are the most dominant predictors of individual and psychological factors, organizational factors and technological factor toward KSI predictors? 7 RQ6: What is the mediating effect of predictors of KSI on the relationship between individual and psychological factors, organizational factors and technological factor and KSI? 1.6 Research Objectives The research objectives (RO) of the research are as follow: RO 1: To determine the level of KSI, KSI predictors, individual and psychological factors, organizational factors and technological factor. RO2: To determine the relationship between KSI predictors and KSI. RO3: To determine the relationship between individual and psychological factors, organizational factors and technological factor and KSI predictors. RO4: To identify the most dominant predictors of KSI. RO5: To identify the most dominant individual and psychological factors, organizational factors and technological factor toward KSI predictors. RO6: To determine the mediating effect of KSI predictors on the relationship between individual and psychological factors, organizational factors and technological factor and KSI. 1.7 Research Hypothesis There are 19 hypotheses were developed based on RO2 (H1-H3), RO3 (H4H11) and RO6 (H12-H19). All the hypothesesch were stated below: H1: There is a positive relationship between attitude and KSI. H2: There is a positive relationship between SN and KSI. H3: There is a positive relationship between PBC and KSI. H4: There is a positive relationship between anticipated reciprocal relationship and attitude. H5: There is a positive relationship between anticipated extrinsic rewards and attitude. 8 H6: There is a positive relationship between knowledge self-efficacy and attitude. H7: There is a positive relationship between trust and attitude. H8: There is a positive relationship between fairness and SN. H9: There is a positive relationship between affiliation and SN. H10: There is a positive relationship between task interdependence and SN. H11: There is a positive relationship between controllability of ICT and PBC. H12: There is a positive relationship between anticipated reciprocal relationship and KSI through the mediating effect of attitude. H13: There is a positive relationship between anticipated extrinsic rewards and KSI through the mediating effect of attitude. H14: There is a positive relationship between knowledge self-efficacy and KSI through the mediating effect of attitude. H15: There is a positive relationship between trust and KSI through the mediating effect of attitude. H16: There is a positive relationship between fairness and KSI through the mediating effect of SN. H17: There is a positive relationship between affiliation and KSI through the mediating effect of SN. H18: There is a positive relationship between task interdependence and KSI through the mediating effect of SN. H19: There is a positive relationship between controllability of ICT and KSI through the mediating effect of PBC. 9 1.8 Scope of the Research The scope of this study is focused on the public higher education institution in Malaysia. Jain et al. (2007) regarded education institutions as knowledge-based organizations where majority constitutions of the organizational members are knowledge workers. Education institution is regarded as the platform for KS activities as their core business is highly related with providing and creating knowledge. Hence, Universiti Teknologi Malaysia (UTM), Skudai Campus is selected as the mode of study which aimed at investigates individual level of KSI among academic staffs. Academic staffs are chosen as the respondents because they conceived as knowledge workers who involve in creating, manipulating and disseminating knowledge in their work duties (Abdul Hamid, 2003). Further, Groth (2005) postulates that colleague are the essential source of knowledge. Therefore, the KSI among the academic staffs was the concern of this study. Besides, the rationale of choosing the academic staffs as the respondents is because of their nature of work are similar, whether there are involve in research or teaching, they are directly involve in KS whether in implicit or explicit form. Professors, associate professors and lecturers are categorized as the academic staffs in this research as they are involve in research or teaching. Besides that, they are involved in the faculty meeting which acts as a platform to share their knowledge. For instances, in the course design planning meeting, the lecturers would discuss and share about the future market demands on academic qualifications, and the relationship with the current courses provided. They aimed to produces more competent graduates, who are being equipped with a relevant and updated knowledge that required by the market. As a result, the future courses content will be adjusted and enhanced results. Apart from that, KS is presence when the collaboration among lecturers is needed in conducting a large scale research or doing some interrelated task as they are frequently interact and sharing the information with each other. Drawing from the above contexts, it is reasonable to select professor (VK06 and VK07), associate professor (DS54 and DS 53), senior lecturer (DS52 and DS51) and lecturer (DS45). as the respondents in this study. 10 Assistant lecturer (DG3), tutors (DG41) and languages teachers (DA41) are excluded in this study. Generally assistant lecturer and tutors are not directly involved in the lecturing while languages teachers are not involve in guiding students in research. In addition, some of them are not involve or seldom involve in faculty meeting and this causes them have less interaction and affect their intention to share their knowledge with others academic staffs. Moreover, some tutors are furthering their PhD in others places and do not involve in lecturing in UTM while some assistant lecturer and tutors are only assists in research areas. The language teachers are referred to the teachers who teach foreign languages in UTM with temporary contracts, thus they are considered as temporary academic staffs. They only involve in teaching and do not involve in research. In this aspect, this research had selected professors, associate professors and lecturers as the academic staffs from all the faculties in UTM Skudai Campus as the population of the study. The focus of the study is restricted to identify influences of individual and psychological factors (anticipated reciprocal relationship, anticipated extrinsic rewards, knowledge self-efficacy and trust), organizational factors (fairness, affiliation and task interdependence) and technological factor (controllability of ICT) on the intention to share knowledge among academic staffs by using Theory of Planned Behavior (TPB) as theoretical framework. Therefore, the finding of this study is aimed to provide a valuable insight of KSI in Malaysia public higher education institutions context. 1.9 Limitation of Study This study has limitation where: i. The purpose of this study is influenced by the honesty of the respondents in answering the questionnaires. The respondents have the potential to be bias in revealing their true answers for the reason that it will bring effect to them. ii. The research is carried out inside UTM, Skudai, Johor, Consequently, it cannot represent the general situation in other universities as well. 11 1.10 Importance of the Study The significance of the study is threefold, which is: i. Managerial Perspective a) This study could be used as the preliminary evaluation tools for measuring the level of individual and psychological factors, organizational factors and technological factor on KSI. b) This study contributes and enriches the understanding about factors influencing KSI in an organization as to enable the organization to formulate complementary strategies to cultivate KS culture. ii. Practitione r Pe rspective a) This study had formed a theoretical framework which can be used as a preparatory guide for future research on KS. b) This study formed a comprehensive and reliable instrument that can be adopted for future research. iii. Theoretical Contribution a) Clarification and rearrangement of the factors influencing KS from the previous literature constructs into individual and psychological factors (anticipated reciprocal relationship, anticipated extrinsic rewards, knowledge self-efficacy and trust), organizational factors (fairness, affiliation and task interdependence) and technological factor (controllability of ICT) ) and integrated it in TPB. b) This study introduced task interdependency and controllability of ICT as a new constructs for factors influencing KSI. 12 1.11 Conceptual Definition In this section, the concept from previous research and literature that related with the construct of this research will be discussed in the following section as to a guide to develop operational definition for this study. The conceptual definition will included KSI, attitude, SN, and perceived behavioral control (PBC) as the predictors of KSI; individual and psychological factors (anticipated reciprocal relationship, anticipated extrinsic rewards, knowledge self-efficacy and trust), organizational factors (fairness, affiliation and task interdependence) and technological factor (controllability of ICT) as the factors influencing KSI. 1.11.1 KSI In the Theory of Reasoned Action (TRA), Fishbein and Ajzen (1975) stated the intention to perform the behavior is the predictor of decision to engage in a specified behavior which in turn is influenced by their attitude toward and the SN regarding the behavior. TPB proffers that the most individual‘s social behavior could be predicted from intentions as it is under volitional control. (Ajzen, 2002a, as cited in Kuo and Young, 2008). In examining KSI, Bock et. al (2005) explained intention to share in the aspect of explicit and implicit knowledge, they defined KSI as the degree to which one believes that one will engage in an implicit or explicit KS activities. Chow and Chan (2008) defined it as “the degree of one‟s belief that one will engage in knowledge-sharing behavior” 1.11.2 Predictors of KSI Based on TPB the predictors of KSI are attitude, SN, and perceived behavioral control (PBC). The conceptual definition of each of the constructs will be discussed in the following section. 13 The conceptual definition included KSI; attitude, SN, and perceived behavioral control (PBC) as the predictors of KSI; individual and psychological factors (anticipated reciprocal relationship, anticipated extrinsic rewards, knowledge selfefficacy and trust), organizational factors (fairness, affiliation and task interdependence) and technological factor (controllability of ICT) 1.11.2 .1 Attitude toward KS Jones and George, (1998) conceived attitude is derived from a person‘s values, but it can influence the value system over time, they defined attitudes as: “the knowledge structures containing the specific thoughts and feelings people have about other people, groups, or organizations and the means through which people define and structure their interactions with others” (as cited in Van Den Brink, 2003) Van Den Brink (2003) defined the attitude of a person is probably based on his or her values and characteristics of the environment. In TRA, attitude is defined as the degree to which an individual has a favorable or unfavorable evaluation or appraisal of the behavior in question (Fishbein and Ajzen (1975) as cited in Kuo and Young, 2008b). King and Marks (2008), regard attitude as an individual positive or negative feeling about performing a behavior. Based on TRA, Bock et. al (2005) explained attitude toward KS as individuals positive feelings about sharing their knowledge while Chow and Chan (2008) defined it as individuals favorable or positive feeling about sharing their knowledge. 1.11.2.2 SN to Share Knowledge SN is first introduced in TRA by Fishbein and Ajzen (1975), who defined SN as ―The degree to which an individual believes that people that are important to her/him think she/he should perform the behavior in question” (as cited in Wu et al., 2007a). He and Wei (2009) follow their view, defined SN as individuals‘ perception that people who are important to them think they should or should not perform the 14 behavior, while King and Marks (2008) added the element of appropriateness on performing the particlar behavior. In developing KMS model for healthcare, Ali et al., (2009) described SN as ―the degree to which a healthcare worker perceives that his/her superior or coworker believes he or she should contribute or seek knowledge via KMS”. SN is described as ―the social influence that may affect a person‟s intention to use a KMS ‖ (Xu and Quaddus, 2005 as cited in Ali et al., 2009) In KS study, Bock et. al (2005) explained SN as “the degree to which one believes that people who bear pressure on one‟s actions expect one to perform the behavior in question multiplied by the degree of one‟s compliance with each of one‟s referents” while Chen et al. (2009) described it as individual perception of relevant others‘ opinions on whether to perform or not perform the behavior. 1.11.2.3 Perceived Behavioral Control PBC is one of the predictors of intention in TPB which refer to ―the perceived ease or difficulty of performing the behavior and it is assumed to reflect the past experiences as well as anticipated impediments and obstacles” (Ajzen, 1991) and the control over performing the particular behavior (Ajzen, 2002). PBC is described individuals‘ evaluations on the necessary opportunities and availability of resources to perform an action (Ajzen and Madden, 1986 as cited in Chen et al., 2009). In the IS research, PBC is regarded as the judgment on both internal and external constraints to performs an action.‖ (Taylor and Todd 1995). In the context of KS research, Hansen and Avital (2005) view PBC as belief whether individuals are able to participate in KS. In the study of KS behavior in virtual learning communities, Chen et al. (2009) defined PBC as the learner‟s perceived ease or difficulty of telling story and experiences, writing documents, expressing opinion”; Lemmetyinen (2007) conceived the PBC as ―the degree of perception of control and ownership of KS; Ryu et al. (2003), referred PBC as the ―perceived ease or difficulty of performing the KS behavior” in context of physicians. 15 1.11.3 The Individual and Psychological Factors In this study, the individual and psychological factors influences KSI will focus on anticipated reciprocal relationship, anticipated extrinsic rewards and knowledge self-efficacy. Thus, the conceptual definition of each of the constructs will be discussed in the following section. 1.11.3.1 Anticipated Reciprocal Relationship According to Adam‘s equity theory, the norm of reciprocity refers to knowledge exchanges that are mutual and perceived by the parties as fair from the view of general fairness (Chiu et al., 2006). Blau (1964) conceived reciprocity in social relationship as the expectation to gain social exchange‘s advantageous. Sun et. al (2009) viewed reciprocity as a sense of mutual indebtedness that facilitates supportive exchanges as to reciprocate the benefits from others. Whereas, Davenport and Prusak 1998 (as cited in Kankanhalli et al., 2005) described reciprocity as the individual‘s belief that recent KS to electronic knowledge repositories would contribute to potential knowledge demand. For anticipated reciprocal relationship in KS, Bock et. al (2005) explained it could enhance ones‘ desires to improve mutual relationships with others through one‘s KS. Whereas, Lemmetyinen (2007) defined it as the person believes through KS, mutual relationship and cooperative behavior will be improved. 1.11.3.2 Anticipated Extrinsic Rewards Burchinal (2006) relate extrinsic rewards with the working conditions, for instances, reasonable working hours, the salaries, incentives and bonus received, and the facilities provided in work place (personal room). Monetary rewards, acknowledgment, and promotion are the general extrinsic rewards adopted by organization (Lee and Ahn, 2007). Goh et al. (2006) indicated extrinsic rewards as 16 the rewards that organization gives for the positively valued work performance employees in the forms of bonuses and increments. Organizational reward is regard as employee‘s perception on the significance of monetary incentives provided for KS (Ba et al, 2001 as cited in Hopple and Orhun, 2006). Extrinsic motivation is defined as the individuals ‘perception that they are propel to perform an action as to get the valued results that are different from the action itself, such as better job performance, monetary incentives, or promotions (Davis et al. 1992 as cited in Venkatesh et al., 2003). In the similar view of extrinsic rewards, Bock et. al (2005) and Lemmetyinen (2007) defined anticipated extrinsic rewards as the believes that individuals will receive monetary incentives for KS behavior. 1.11.3.3 Knowledge Self-Efficacy Based on Social Cognitive Theory, Bandura (1997) regarded perceived selfefficacy as the individual‘s evaluation of their own capabilities to organize and carry out the course of action required to attain a designated type of performance (as cited in Kuo and Young, 2008a). Founded on the Social Cognitive Theory, Pavlou and Fygenson (2006) defined self-efficacy as the individual‘s evaluation of their own capabilities in getting information about products and purchase the product by using online service. In KS research, Cheung and Lee (2007) described knowledge self-efficacy as the degree of people believing that their knowledge can help other members in the virtual community while Kankanhalli et al.(2005) defines knowledge self-efficacy as the degree of confidence in one‘s capability in providing valuable knowledge to organization. From a different angle, Chen et al. (2009) examine knowledge creation self-efficacy and described it as individuals‘ beliefs on their ability in expressing the opinions and experiences, synthesizing knowledge, and learning from others by internalization. Bock et al. (2005) defined sense of self- worth as individuals‘ positive cognition based on their feeling of personal contribution to the organization as individuals would evaluation of their value through KS activities. 17 1.11.3.4 Trust Trust is viewed as a set of specific beliefs dealing primarily with the integrity, benevolence, and ability of another party in the management literature (Chiu et al., 2006). In the context of acceptance on online blog usage, Hsu and Lin (2008) conceived trust as the propensity to believe in others blog. Trust can be defined as maintaining reciprocal faith in each other in terms of intention and behaviors (Kreitner and Kinicki, 1992 as cited in Choi, 2002). By emphasizing integrity in a virtual community, trust is referring to one's expectation that members will follow a generally accepted set of values, norms, and principles (Chiu et al., 2006). Wu et al. (2007b) believe trust is” a positive expectation of one who trusts; he or she believes that the one trusted would not act opportunistically in any manner”. In a similar view, Chow and Chan (2008) regard social trust as ―the degree of one‟s willingness to vulnerable to the actions of other people”. Thus, it could be concluded by the thought of Mishra, 1996 who reflected trust as the willingness to make one‘s self vulnerable to others that categorized into four dimensions, there are trust in their competence; openness and honesty; intensions and concerns; and reliability (as cited in Sharratt and Usoro, 2003) 1.11.4 The Organizational Factors In this study, the organizational factors influences KSI focus on fairness, affiliation and task interdependence. Thus, the conceptual definition of each of the constructs will be discussed in the following section. 18 1.11.4.1 Fairness There are various concepts of fairness that have been examined in the past, for instances, Sherman (2001) defines fairness as peoples‘ view on equality of benefits among themselves in the survey of dynamic stability of institutions. In the research of strategic alliances, Luo (2007) described fairness as the judgment on the procedures and criteria used in formulate and the implement the decisions and the criteria that used in making the judgment are ―(1) transparent, adjustable and correctable; (2) unbiased, representative and non-discriminatory to each party; and (3) in accordance with contractual specifications.” On the other hand, the three facets of fairness have been acknowledged by social exchange and organizational justice theorists are distributive fairness, procedural fairness and interactional fairness (Chiu et al., 2006; Fu, 2004; Chung, 2009; Ho and Chang, 2009). In examine the effect of fairness perception in KS, distributive fairness is referred to the perception of employee on how resources and rewards are allocated (Fu, 2004; Farn and Fu, 2004). In the context of examine KS, Chiu, et al. (2007) regard distributive fairness as the perceived equitable of the result that employees receive. In investigating the fairness perception on the effect of performance evaluation, Aryani (2009) have defined the distributive fairness as the perceptions of fairness on the outcome of performance evaluation process that related with financial and non-financial measures. Procedural fairness refers to the procedural fairness that employed to assign outcomes (Thibaut et al. 1975 as cited in Chung, 2009). In investigate procedural fairness in KS context, Chiu, et al. (2007) defined perceptions of procedural fairness as that applied to determine outcomes. Aryani (2009) defined procedural fairness as the perceptions of fairness in process making performance evaluation that concerned with financial and non-financial measures in explore the fairness perception on the effect of performance evaluation,. 19 Greenberg (1993) contend that interactional fairness are categorized into informational fairness and interpersonal fairness (as cited in Vianello et al., 2010). Informational fairness is referred to justification and truthfulness, and interpersonal fairness, which refers to respect and propriety. (as cited in Vianello et al., 2010). In the research of leadership, Vianello et al. (2010) regard interpersonal fairness as a component of interactional fairness that regards to the extent of leaders treats their followers with kind, polite and proper. Whereas, in organizational justice research, informational fairness is regard as the explanations that used to determined at processes and outcomes (Colquitt et al., 2001 as cited in Ho and Chang, 2009). In the research of KS referral network, fairness is described as the amount of benefits one‘s gained from the network is related with the qualities work one‘s performs (Manavalan and Singh ,2008). Yu et al. (2010) have used perceived fairness as an influencing factor in investigating KS behavior via weblogs; they defined perceived fairness as the community members‘ judgment on whether they are being treated equitable in the community by considering other associated factors regard these judgments. In the study of KS, Yang (2006) explain fairness as the perception of equitable and rationally of group practices. Fairness is perception that organizational practices are fair, equitable and consistent as to build trust among the employees and motivates employees to exert pro-social behavior in sharing knowledge (Bock et al., 2005). 1.11.4.2 Affiliation According to Hurley and Green (2006), motivation theory is being adopted as the theoretical base for KM research in the context of affiliation. Stott and Walker (1995) and Tampoe (1996) used Maslow‘s need hierarchy as to advocate that drivers of motivation for knowledge workers are the highest three hierarchical levels, there are “social needs (affiliation, love), ego needs (status, respect of peers), and selffulfillment needs (self-actualization)” ( as cited in Hurley and Green, 2006). In examine the motivators in work place setting, McClellend‘s three needs theory defined need for affiliation as the desire to be liked and accepted by others for having close interpersonal relationships (Robbins and DeCenzo, 2005). Thus, the affiliation 20 needs propel people to share knowledge as to establish, maintain, and restore relationships with others. Affiliation is the perception that togetherness exists among the employees of the organization as a result of caring and pro-social behavior that motivate employees to help each other (Bock et al., 2005). Chiu et al. (2006) used affiliation as an element of identification which measured on individual's sense o f belonging, feeling of togetherness, and positive feeling toward the virtual community. Social inclusion is similar with the view of affiliation Bock et al., (2005), which is defined as “captures the extent to which employees have informal social ties with others at work and feel as if they belong and are socially included by others in their workplace”(Pearce and Randel, 2004 as cited in Steward, 2008). Steward (2008) explained social inclusion as “an attribute of the relationship between the individual and the collective of their work colleagues, and that the intensity of this attribute affect the efficiency and effectiveness of the flow of information.” 1.11.4.3 Task Interdependence In Hackman and Oldham‘s Job Characteristics Model, the autonomy have been covered the context of task interdependence as it is described as the extent of individuals‘ freedom, independence and discretion in managing their work schedule and procedure for completing their work (as cited in Robbins and DeCenzo, 2005). In the context of KS in team, task interdependence is referring to the extent to which a group member requests information, resources, and support from other group members within for performing his or her job (Yu and Khalifa, 2007) while Wu et al. (2007) described task interdependence as ―the degree to which team members cooperate and work interactively to complete tasks‖. Lin and Huang (2008) used theory of task technology fit, as to examine the relationship of task interdependence with KMS usage and described it as one‘s relying on interaction with other for completing their work. In a similar view, task interdependence refers to one‘s task performance rely on other‘s works or skills 21 (Wageman and Baker, 1997 as cited in Yu and Khalifa, 2007 ). Pearce and Gregersen (1991) have measured task interdependence by viewing reciprocal interdependence with other job and independently to complete the task by oneself. 1.11.5 The Technological Factors In this study, the technological factor influences KSI will focus on controllability of ICT. The conceptual definition is discussed in the following section. 1.11.5.1 Controllability of ICT Controllability of ICT is a construct that developed upon the control beliefs in TPB. The following part discussed this construct into two parts; there are controllability and technology for KS. Ajzen (2001) regarded perceived controllability as the degrees of individuals believe that they have volitional control over an action‘s performance. Ajzen (2002b) delineate controllability as individuals‘ evaluations on the opportunities and availability of resources to perform an action. In the e-commerce adoption research, Pavlou and Fygenson (2006) define controllability as ―consumers‟ perceptions of whether getting information and purchasing products online is completely up to them because of the availability of resources and opportunities.” On the other hand, Hendriks (1999) contends that ICT can facilitate KS by reducing temporal and spatial constraint. Based on the studies of three organizations, Groth (2005) have identified some ICT tools that could support and facilitate KS, for instances, the ICT tools are mobile phones, e- mail, electronic discussion platform, and information systems (IS). In examing the KS behaviour, Chennamaneni (2006) defined the KS tools and technology as the degree to which individuals believed that the “facilitating tools and technology for sharing knowledge are available and are easy to use”. In KS practices research, Shaari (2010) identified ICT can act as a medium of interaction for KS in the context of technological factor. 22 1.12 Ope rational Definition Based on the conceptual definition discussion in previous sections, the construct of operational definition of this study is developed and summarized in Table 1.1. In this research, the construct included KSI, predictors of KSI (attitude, SN, and PBC) and the factors that influences KSI which are categorized into individual and psychological factors (anticipated reciprocal relationship, anticipated extrinsic rewards, knowledge self-efficacy and trust), organizational factors (fairness, affiliation and task interdependence) and technological factor (controllability of ICT) Table 1.1 : Operational Definitions of the Constructs Constructs KSI Ope rational Definitions The degree of one‘s belief that one will engage in sharing explicit and implicit knowledge. Key References Adapted from Ajzen (1991), Bock et al., (2005); Chow and Chan (2008) Attitude toward The degree of one‘s favorable or positive Adapted from KS evaluation about one‘s KS Ajzen (1991), Bock et al., (2005) SN about KS The degree of one‘s perceived social Adapted from pressure to influence one‘s involvement in Ajzen (1991), KS. Bock et al., (2005), Chen et al. (2009) PBC The degree of one‘s perceived control over Adapted from KS and ease or difficulty to perform KS. Ajzen (2002); Ryu et al. (2003) Lemmetyinen (2007) Anticipated The degree to which one believes that one Adapted from Reciprocal can improve mutual relationships with other Bock et al. Relationship through one‘s KS. (2005) Anticipated The degree to which one believes that one Adapted from Extrinsic will receive extrinsic incentives for one‘s Bock et al. Rewards KS. (2005) Knowledge Self- The degree to which one believes that one‘s Adopted from Efficacy ability to provide knowledge that is valuable Kankanhalli et to the organization. al.(2005) 23 Trust The degree to which one‘s willingness to be Adapted from vulnerable to others colleague‘s actions. Wu et al. (2007b) Fairness The perception that organizational practices are fair, equitable and consistent. Adapted from Bock et al. (2005) Affiliation The perception of togetherness with others Adapted from colleagues. Bock et al. (2005) Task The perception to which individuals perceive Adapted from Inte rdepende nce that they have to interact with and rely on Lin and Huang other in order to complete their work. (2008) Controllability The perception to which individuals perceive Adapted from of ICT that they have volitional control over the Ajzen (2001) ICT facilities as an interaction medium for KS. 1.12 Summary The discussion in this Chapter I give an overall view of this research. In short, this research is to investigate the relationship of individual and psychological factors (anticipated reciprocal relationship, anticipated extrinsic rewards, knowledge selfefficacy and trust), organizational factors (fairness, affiliation and task interdependence) and technological factor (controllability of ICT) and on the mediating effect of individual‘s attitude and SN s towards KSI. The relationship between KSI and the predictors of KSI (attitude, SN and PBC) will also be investigated. In this research, it is hoped that the research carried out could find the answers to the research questions and the research objectives. Thus, the findings of this research will contribute in providing holistic understanding on KSI and improve the insight in promoting KS culture in Malaysia public higher education institutions.