Knowledge has been recognized as an important resource that should be carefully managed in order to enhance organizational competitiveness. Therefore, it is important to manage knowledge resources that have been learned and stored in organizations. Several scholars in the public administration literature have examined whether public service motivation (PSM) can help employees share their knowledge in ways that contribute to the effective functioning of public organizations. However, the mechanisms by which PSM influences individuals’ propensity to share knowledge have not been clarified by past research. Against this background, at first, this study contributes to understanding the relationship between PSM and knowledge sharing by applying self-determination theory with a logical insight of the intrinsic knowledge sharing motivation process. This study also examined that relationship by testing three competing psychological mechanisms based on person-environment (P-E) fit theory: (1) person-group (P-G) fit, (2) person-job (P-J) fit, and (3) person-supervisor (P-S) fit. The research questions for this study are as follows: Do individuals with higher levels of PSM have a higher propensity toward knowledge sharing? Does the congruence between employees and their work environment increase employees’ knowledge sharing behavior? Do PSM-driven employees have higher willingness to fit in the work environment? Does P-E fit theory help explain the causal relationship between PSM and knowledge sharing? Based on primary data of 1,094 occupationally diverse employees working in 33 local governments in South Korea, the current study found that caution should be exercised when making claims regarding the effects of PSM on individuals’ propensity to share knowledge and that greater emphasis should be placed on ways public sector organizations can foster P-G fit and P-J fit. However, this study also found that the relationship between PSM and knowledge sharing is not mediated by the extent to which employees perceive that their values are congruent with those of their supervisors. Keywords: public service motivation (PSM), person-environment fit (P-E fit), person-group fit (P-G fit), person-job fit (P-J fit), person-supervisor fit (P-S fit), knowledge sharing

The Empirical Likelihood method (ELM) was introduced by A. B. Owen to test hypotheses in the early 1990s. It's a nonparametric method and uses the data directly to do statistical tests and to compute confidence intervals/regions. Because of its distribution free property and generality, it has been studied extensively and employed widely in statistical topics. There are many classical test statistics such as the Cramer-von Mises (CM) test statistic, the Anderson-Darling test statistic, and the Watson test statistic, to name a few. However, none is universally most powerful. This thesis is dedicated to extending the ELM to several interesting statistical topics in hypothesis tests. First of all, we focus on testing the fit of distributions. Based on the CM test, we propose a novel Jackknife Empirical Likelihood test via estimating equations in testing the goodness-of-fit. The proposed new test allows one to add more relevant constraints so as to improve the power. Also, this idea can be generalized to other classical test statistics. Second, when aiming at testing the error distributions generated from a statistical model (e.g., the regression model), we introduce the Jackknife Empirical Likelihood idea to the regression model, and further compute the confidence regions with the merits of distribution free limiting chi-square property. Third, the ELM based on some weighted score equations are proposed for constructing confidence intervals for the coefficient in the simple bilinear model. The effectiveness of all presented methods are demonstrated by some extensive simulation studies.

This study examines the fit between students’ interests and their academic choices at different stages of their college careers. Using image theory (Beach, 1990) as an integrated theory of person-vocation fit, this investigation focuses on the stability of academic fit during college and the relationship between fit with academic choice and fit with occupational choice. Participants, 257 students in their final year at Rice University, responded to questions about their interests as well as factors that may influence their career choices, such as parental support, work centrality, career efficacy, and employment potential. Results showed that students tend to improve their fit with their academic major during their first four semesters. And, students tend to maintain or improve their fit when they select their first occupation after college. Of the factors considered to influence career choices, work centrality, or the importance one places on work, moderated the relationship between academic and occupational fit.

Syftet med uppsatsen är att försöka få en inblick i hur viktigt det anses vara att en nyanställd ”matchar” en organisation i form av personlighet och värderingar, snarare än att denne besitter rätt yrkeskunskaper. Syftet är även att utreda om det finns en existerande organisationskultur på ett industriföretag, samt hur genomgående denna kultur verkar vara. Avslutningsvis har författarna försökt utreda hur nya medarbetare socialiseras in i den undersökta organisationens kultur. Resultaten är baserade på tre gruppintervjuer med operativ personal, intervjuer med två personer från organisationens ledningsgrupp, samt intervjuer med två olika rekryteringsföretag. Resultaten pekar på att en ”match” med organisationen upplevs vara viktig när det gäller grundläggande värderingar, men att olika personligheter uppskattas mer än lika egenskaper hos nyanställda. Resultaten tyder även på att socialiseringsprocessen kan ha en större betydelse för en upplevd samstämmighet med organisationen, än vad en tillämpad P-O- fit vid rekryteringen kan tänkas bidra till. / The purpose with this study is to achieve a deeper knowledge and understanding for the perceived importance of using a Person-Organization fit in recruitment. The study also aims to investigate a possible existing organizational culture in an industrial company, and how concistent this culture seems to be throughout the organization. The authors have also tried to gain knowledge on how new employees are indroduced into this culture. The results are based on three group interviews with operational personnel, interviews with two persons from the manegerial group, and interviews with two recruitment firms. The results indicate that a Person-Organization fit is perceived to be important when it comes to some basic values. However, different personalities are more desirable within the investigated organization concerning recruits. Results also indicate that the socialization process, rather than an applied Person-Organization fit, might have a larger significance for a perceived congruence between personal and organizational values.

Recently, Web 2.0 tools and technologies are widely adopted by organizations. This phenomenon drives attention and discussion on the intention of adoption and usage of such tools within enterprises. The purpose of this study was to explore the intention of enterprise to adopt Web 2.0 technologies for internal collaboration, using the fit-viability model that takes into consideration the degree of fitness between technological tools and the collaboration tasks, and the feasibility of implementation. In this research, a more comprehensive model to evaluate the intention to adopt Collaboration 2.0 tools and major factors identified from previous studies were developed. An empirical survey was conducted and 347 valid observations were collected. Results from the data analysis reveal that both the fit between task and technology and organizational viability have positive effects on organizational adoption of the collaboration 2.0 tool.

In this study, it is defined to treat the sources of work passion as independent variables and to treat organizational commitments as dependent variables. Based on the test samples of high-tech research and development engineers, it is intended to figure out the relationship between all variables and how they affect eath other. Futhermore, using person-organization fit and person-job fit as interference variables to study the interference among all variables. Totally 1,035 questionnaires are issued and get 642 valid copies returned. By using reliability analysis, factor analysis, on-way ANOVA, correlation analysis, multiple linear regression and hierarchical regression to analyze questionnaire data, the result is summarized as follows, 1.A positive relationship between the sources of work passion and organizational commitments. 2.The sources of work passion and organizational commitments differ significantly depending on personal attributes. 3.Person-organization fit and person-job fit interfere the relationship between the sources of work passion and organizational commitments.

In order to enhance newcomers' retention and performance, the present study explored the moderating roles of mentoring and newcomers' personality (conscientiousness and emotional stability) on the relationships between newcomers' perceived person-job fit, (P-J fit) person-organization fit (P-O fit) and their task performance and turnover intentions. The data was collected from newcomers who have passed probation with their organizational tenure less than one year. In total, 198 usable questionnaires were collected from 20 firms in Taiwan. The present study applied the hierarchical regression analysis to test our hypotheses. The results showed that: (1) when mentoring relationship is low, the positive relationship between newcomer P-J fit and task performance is strengthened; (2) when conscientiousness and emotional stability are high, the negative relationship between newcomers P-O fit and turnover intentions is strengthened; (3) the interaction between newcomer P-J fit and P-O fit is positively related to task performance. Based on our findings, we proposed several practical implications as below: (1) organizations should pay attention to newcomers¡¦ P-J, P-O fit, and their socialization processes; (2) using selection tools to hire newcomers with high conscientiousness and emotional stability; (3) organizations should apply different socialization practice for newcomers with different attributes.

In recent years there has been growing interest in the concept of Person-Environment¡]P-E¡^Fit. Under the umbrella term of P-E fit, researchers have distinguished between specific types of fit¡GPerson-Organization¡]P-O¡^Fit and Person-Job¡]P-J¡^Fit . This study examines the employees¡¦ actual P-O fit and perceived P-J fit, and both types of fit as predictors of work passion, job satisfaction and turnover intention. The Q-sort approaches and the Organizational Culture Profile¡]OCP¡^adapted from Cable and Judge¡]1996¡^were used as the instrument for assessing Person-Organization fit. Furthermore, this paper examines the potential interaction between the P-O fit and the P-J fit. If such an interaction is significant , both types of fit can be a moderator for each other. Survey data collected from 277 employees of Taiwan Power Company are analyzed. The results show that: ¡]1¡^the person-organization fit calculated by correlating OCP1¡]characteristics of firms¡^ and OCP2¡]individual preferences for the characteristics of firms¡^ ranged from ¡V1 to 1¡]the¡©correlation coefficient¡ªis between -1 and 1 as expected¡^. ¡]2¡^Both P-O fit and P-J fit have positive impact on work passion and job satisfaction, respectively.¡]3¡^Both P-O fit and P-J fit have negative impact on turnover intention.¡]4¡^No significant interaction was found between the two types of fit and they are weakly related¡]r=.043¡^

With the increasing use of knowledge management technologies for collaborative work, organizations must recognize how to evaluate individual performance. User evaluations of information systems are frequently used as measures of MIS success, since it is extremely difficult to get objective measures of system performance. When the technology meets the user¡¦s needs and provides features that support the fit of the requirements of the task, positive performance impacts will result. This dissertation takes the special characteristics of the knowledge management system (KMS) and task into a research model and extends the theory of task technology fit with concepts from Fit-Appropriation Model. This dissertation goes on to empirically test the research model by investigating the task and related KMS characteristics. Furthermore, it seeks to understand the task technology fit, which links with KMS use and individual performance. Four hypotheses are developed. Structural equation modeling (SEM) techniques and moderated regressions will be used to provide statistical support indicating that there is a positive relationship between task-technology fit, the use of knowledge management systems and individual performance. The data was collected from 203 KMS users. This dissertation concludes with a discussion of the implications that the results have for future research, and managerial practices are described.

Commercial off-the-shelf enterprise resource planning (ERP) systems have been adopted by large companies to support their inter- and intra-business processes. Midsize market firms are now investing in ERP systems too. However, research has indicated that about three quarters of attempted ERP projects turned out to be unsuccessful. A common problem encountered in adopting ERP software has been the issue of fit or alignment. This paper presents an ERP misfit analysis methodology, grounded on the task-technology fit theory and cognitive fit theory, for measuring misfits between ERP candidates and enterprise¡¦s requirements in ex-ante implementation. A decision support system prototype embedded the approach has been developed. A usability evaluation is performed on the prototype to demonstrate the approach. With this approach, organizations can more easily and systematically determine where the misfits are and the degree of misfits, thereby reducing the risks in implementing ERP systems. Our research contributes to the practical solution of the problem of misfit analysis.