Knowledge Sharing, Organizational Climate, and Innovative Behavior: A Cross-Level Analysis of Effects

2013 ◽  
Vol 41 (1) ◽  
pp. 143-156 ◽  
Author(s):  
Chien Yu ◽  
Tsai-Fang Yu ◽  
Chin-Cheh Yu
Keyword(s):  
Organizational Climate ◽  
Knowledge Sharing ◽  
Hierarchical Linear Modeling ◽  
Organizational Innovation ◽  
Positive Association ◽  
Innovative Behavior ◽  
Linear Modeling ◽  
Individual Level ◽  
Innovation Climate ◽  
The Impact

We investigated individual-level knowledge sharing and innovative behavior of employees, organizational innovation climate, and interactions between the individual level of knowledge sharing and the climate of innovation within the organization as a whole. Employees of public corporations in the Taiwanese finance and insurance industries participated in this study. Hierarchical linear modeling (HLM) indicated a positive association between knowledge sharing and innovative behavior and a positive association between organizational innovation climate and innovative behavior. According to the results of HLM organizational innovation climate did not act as a moderator on the impact of knowledge sharing on innovative behavior.

The Impact of Individual and Institutional Factors on Turnover Intent Among Taiwanese Correctional Staff

2016 ◽  
Vol 61 (1) ◽  
pp. 100-121 ◽  
Author(s):  
Yung-Lien Lai
Keyword(s):  
Job Satisfaction ◽  
Organizational Commitment ◽  
Hierarchical Linear Modeling ◽  
Personal Characteristics ◽  
Institutional Factors ◽  
Turnover Intent ◽  
Correctional Staff ◽  
Linear Modeling ◽  
Individual Level ◽  
The Impact

The existing literature on turnover intent among correctional staff conducted in Western societies focuses on the impact of individual-level factors; the possible effects of institutional contexts have been largely overlooked. Moreover, the relationships of various multidimensional conceptualizations of both job satisfaction and organizational commitment to turnover intent are still largely unknown. Using data collected by a self-reported survey of 676 custody staff employed in 22 Taiwanese correctional facilities during April of 2011, the present study expands upon theoretical models developed in Western societies and examines the effects of both individual and institutional factors on turnover intent simultaneously. Results from the use of the hierarchical linear modeling (HLM) statistical method indicate that, at the individual-level, supervisory versus non-supervisory status, job stress, job dangerousness, job satisfaction, and organizational commitment consistently produce a significant association with turnover intent after controlling for personal characteristics. Specifically, three distinct forms of organizational commitment demonstrated an inverse impact on turnover intent. Among institutional-level variables, custody staff who came from a larger facility reported higher likelihood of thinking about quitting their job.

scholarly journals Does Postsecondary Education Attainment Matter in Community Service Engagement? Evidence from Across 18 OECD Countries

2021 ◽  
Vol 11 (3) ◽  
pp. 96
Author(s):  
Hee Jung Gong ◽  
Jung Eun Hong
Keyword(s):  
Postsecondary Education ◽  
Community Service ◽  
Hierarchical Linear Modeling ◽  
Tertiary Education ◽  
Oecd Countries ◽  
Least Square ◽  
Linear Modeling ◽  
Individual Level ◽  
Service Engagement ◽  
The World

This study is concerned with the central issues of community service engagement (CSE) in 21st century democratic societies around the world. To examine the factors influencing postsecondary education attainment’s relationship to CSE, this study utilized data from the Organization for Economic Co-operation and Development (OECD) countries using ordinary least square (OLS) and two-level hierarchical linear modeling (HLM) methods, including various factors for each country’s individual and country levels. The results show that attainment in postsecondary education at the individual level and investment and enrollments in tertiary education both have an influence on increasing CSE in 18 OECD countries. The present study is expected to contribute to an understanding of the relationship between postsecondary education and CSE across the world.

Good problem solvers? Leveraging knowledge sharing mechanisms and management support

2019 ◽  
Vol 23 (6) ◽  
pp. 1017-1038 ◽  
Author(s):  
Ambra Galeazzo ◽  
Andrea Furlan
Keyword(s):  
Transformational Leadership ◽  
Problem Solving ◽  
Knowledge Sharing ◽  
Hierarchical Linear Modeling ◽  
Shop Floor ◽  
Management Support ◽  
Linear Modeling ◽  
Content Type ◽  
Problem Solvers ◽  
Good Problem

Purpose Organizational learning relies on problem-solving as a way to generate new knowledge. Good problem solvers should adopt a problem-solving orientation (PSO) that analyzes the causes of problems to arrive at an effective solution. The purpose of this paper is to investigate this relevant, though underexplored, topic by examining two important antecedents of PSO: knowledge sharing mechanisms and transformational leaders’ support. Design/methodology/approach Hierarchical linear modeling analyses were performed on a sample of 131 workers in 12 plants. A questionnaire was designed to collect data from shop-floor employees. Knowledge sharing was measured using the mechanisms of participative practices and standardized practices. Management support was assessed based on the extent to which supervisors engaged in transformational leadership. Findings Knowledge sharing mechanisms are an antecedent of PSO behavior, but management support measured in terms of transformational leadership is not. However, transformational leadership affects the use of knowledge sharing mechanisms that, in turn, is positively related to PSO behavior. Practical implications The research provides practical guidance for practitioners to understand how to manage knowledge in the workplace to promote employees’ PSO behaviors. Originality/value Though problem-solving activities are intrinsic in any working context, PSO is still very much underrepresented and scarcely understood in knowledge management studies. This study fills this gap by investigating the antecedents of PSO behavior.

scholarly journals Rhythmic Features of Movement Synchrony for Bonding Individuals in Dyadic Interaction

2019 ◽  
Vol 44 (1) ◽  
pp. 173-193 ◽  
Author(s):  
Ken Fujiwara ◽  
Masanori Kimura ◽  
Ikuo Daibo
Keyword(s):  
Hierarchical Linear Modeling ◽  
Dyadic Interaction ◽  
Wavelet Coherence ◽  
Linear Modeling ◽  
Theoretical Contribution ◽  
Bonding Effect ◽  
Slow Tempo ◽  
Movement Synchrony ◽  
The Impact

Abstract This study examined ways in which rhythmic features of movement contribute to bonding between individuals. Though previous studies have described synchrony as a form of social glue, this research extends those findings to consider the impact of fast versus slow tempo on movement synchrony. This two-part experiment examined dyadic interactions as they occurred between same-sex strangers (Study 1) and friends (Study 2). Participants were video-recorded as they engaged in 5- or 6-min chats, and synchrony was evaluated using wavelet transform via calculations of cross-wavelet coherence. Study 1 employed regression commonality analysis and hierarchical linear modeling and found that among various frequency bands, rapport between individuals was positively associated with synchrony under 0.025 Hz (i.e., slower than once every 40 s) and 0.5–1.5 Hz (i.e., once every 0.67–2 s). On the contrary, Study 2 determined that synchrony of 0.5–1.5 Hz was not impactful among friend dyads and only predictive of the motivation to cultivate a friendly relationship during interactions with strangers. These results indicate the existence of a distinctive rhythm for bonding individuals, and the role of pre-existing friendship as a moderator of the bonding effect of synchrony. However, the role of relative phase (i.e., timing of movement; same versus opposite timing) remains unclear, as the ratio of in- and anti-phase patterning had no significant influence on perceived rapport and motivation to develop relationships. On the basis of the research results, a theoretical contribution is proposed to the study of interpersonal coordination.

Implementation of AF-CBT by Community Practitioners Serving Child Welfare and Mental Health

2012 ◽  
Vol 17 (1) ◽  
pp. 32-46 ◽  
Author(s):  
David J. Kolko ◽  
Barbara L. Baumann ◽  
Amy D. Herschell ◽  
Jonathan A. Hart ◽  
Elizabeth A. Holden ◽  
...  
Keyword(s):  
Organizational Climate ◽  
Learning Community ◽  
Hierarchical Linear Modeling ◽  
Behavioral Therapy ◽  
Work Force ◽  
Child Physical Abuse ◽  
Self Report ◽  
Psychological Skills ◽  
Linear Modeling ◽  
Negative Perceptions

The Partnerships for Families project is a randomized clinical trial designed to evaluate the implementation of Alternatives for Families: A Cognitive–Behavioral Therapy (AF-CBT), an evidence-based treatment for family conflict, coercion, and aggression, including child physical abuse. To evaluate the effectiveness of a training program in this model, 182 community practitioners from 10 agencies were randomized to receive AF-CBT training ( n = 90) using a learning community model (workshops, consultation visits) or Training as Usual (TAU; n = 92) which provided trainings per agency routine. Practitioners completed self-report measures at four time points (0, 6, 12, and 18 months following baseline). Of those assigned to AF-CBT, 89% participated in at least one training activity and 68% met a “training completion” definition. A total of 80 (44%) practitioners were still active clinicians in the study by 18-month assessment in that they had not met our staff turnover or study withdrawal criteria. Using an intent-to-train design, hierarchical linear modeling analyses revealed significantly greater initial improvements for those in the AF-CBT training condition (vs. TAU condition) in CBT-related knowledge and use of AF-CBT teaching processes, abuse-specific skills, and general psychological skills. In addition, practitioners in both groups reported significantly more negative perceptions of organizational climate through the intervention phase. These significant, albeit modest, findings are discussed in the context of treatment training, research, and work force issues as they relate to the diverse backgrounds, settings, and populations served by community practitioners.

The mediating role of autonomy in the effect of pro-innovation climate and supervisor supportiveness on innovative behavior of nurses

2019 ◽  
Vol 22 (1) ◽  
pp. 41-58 ◽  
Author(s):  
Betül Sönmez ◽  
Aytolan Yıldırım
Keyword(s):  
Organizational Climate ◽  
Linear Regression Analysis ◽  
Professional Autonomy ◽  
Added Value ◽  
Innovative Behavior ◽  
Cross Sectional ◽  
Content Type ◽  
Mediating Role ◽  
Innovation Climate

PurposeThe purpose of this paper is to test the mediating role of autonomy in the effect of a pro-innovation organizational climate and supervisor supportiveness (SS) on the innovative behavior (IB) of nurses.Design/methodology/approachThe sample of this cross-sectional, correlational study consisted of 332 nurses, who were selected, on the basis of the convenience sampling method, from among the nurses working at two public university hospitals in Istanbul. The data of the study were collected between February and May of 2015. Descriptive analysis and linear regression analysis were used for data analysis, and the bootstrapping method was applied to test the significance of the mediating role.FindingsThe model used for examining the mediating role of autonomy was found to be statistically significant, as it explained 36 percent of the variance of IB. When the significance of the mediating role was tested, its effect on both innovation climate and SS was observed to be significant.Originality/valueThe obtained results indicated that a pro-innovation organizational climate and SS functioned as premises for autonomy. In turn, the rise in autonomy level that served to innovative climate and SS increased the IB of the nurses through boosting their autonomy level. From these results, it can be argued that nurses with a high level of professional autonomy can create innovative outputs and provide added value through the IB they practice in providing patient care and general health services.

scholarly journals Factors Determining Income among Real Estate Salespersons: The Impacts of Individual Conditions, Franchises, and Regular Chains

2015 ◽  
Vol 7 (11) ◽  
pp. 94
Author(s):  
Chun-Chang Lee ◽  
Cheng-Huang Tung ◽  
Yu-Heng Lee ◽  
Shu-Man You
Keyword(s):  
Real Estate ◽  
Hierarchical Linear Modeling ◽  
Positive Impact ◽  
Working Hours ◽  
Education Level ◽  
Linear Modeling ◽  
Individual Level ◽  
The Individual ◽  
The Given ◽  
Regular Chains

<p>This study explores the factors that affect the incomes of real estate salespersons by applying hierarchical linear modeling (HLM) to investigate the incomes of real estate salespersons in Kaohsiung. A total of 510 questionnaires were distributed to large chain housing agencies, of which a total of 319 effective samples were retrieved from 54 branch stores, for an effective return rate of 62.55%. The empirical results showed that individual incomes vary significantly from store to store. About 4.8% of the variation in individual incomes was due to differences among different branch stores. The individual income of a real estate salesperson is also significantly affected by individual-level factors such as age, working hours, and working experience. The marginal impact of education level, age, working hours, and working experience on real estate salesperson income is moderated by the type of store at which the given salesperson works. In addition, a branch store’s location has a direct, significant, and positive impact on a real estate salesperson’s income.</p>

scholarly journals Studi Empirik BUMN Pada PT PELINDO III Surabaya Pengaruh Intellectual Capital Terhadap Inovasi Organisasi

2021 ◽  
Vol 5 (1) ◽  
pp. 26-40
Author(s):  
Arfah Arfah
Keyword(s):  
Organizational Climate ◽  
Customer Service ◽  
Intellectual Capital ◽  
Industrial Revolution ◽  
Organizational Innovation ◽  
Diverse Range ◽  
Cultural Heterogeneity ◽  
High Level ◽  
The Impact

The era of the industrial revolution 4.0. In the last century, experts have increasingly convinced that the intellectual resources of an organization determine the competitive advantage of an organization in accelerating the effectiveness of artificial intelligence, especially in presenting the best customer service innovation products. However, there are only a few studies on the relationship between intellectual capital and innovation. Based on the importance of these issues, this study aims to examine the impact of intellectual capital on organizational innovation. Questionnaires have been distributed to 100 employees of PT. Pelindo from Indonesian State-Owned Enterprises (BUMN), and 82 usable questionnaires were returned. The regression statistical method analysis was used to test the hypothesis. The results of the research simultaneously show that intellectual capital has a positive and significant effect on organizational innovation. The next test results partially prove that human capital, organizational capital, and relational capital have a significant and positive effect on organizational innovation. This study opens several pathways for innovation program projects in future Indonesian organizations. The significance of the findings of this study shows the practical implications of the support in the next roadmap on research and development (R&D) of Human Resources and innovation of Indonesian BUMN organizations, particularly at PT. Pelindo as one of the important pillars in the success of the vision of the Indonesian government's maritime axis. Based on the high level of socio-cultural heterogeneity in Indonesia, the implications of follow-up studies are important to expand the sample of employees to a larger and more diverse range and combine other independent variables (such as demographic factors, organizational culture, organizational climate, leadership, job satisfaction or other motivational factors) which may result in different study findings and recommendations.

scholarly journals Social Relations at the Collective Level: The Meaning and Measurement of Collective Control in Research on the Psychosocial Work Environment

2013 ◽  
Vol 3 (3) ◽  
pp. 30 ◽  
Author(s):  
Per Øystein Saksvik ◽  
Tove Helland Hammer ◽  
Kjell Nytrø
Keyword(s):  
Work Environment ◽  
Hierarchical Linear Modeling ◽  
Social Relations ◽  
Psychosocial Work Environment ◽  
Organizational Level ◽  
Level Control ◽  
Psychosocial Work ◽  
Linear Modeling ◽  
Individual Level ◽  
Self Reports

In this article, we suggest that organizational-level social relations should be defined and measured as workplace norms. We base this argument on new research on the components of the psychosocial work environment and on the availability of new techniques for measuring and analyzing workplace norms as organizational properties. Workplace norms emerge from interactions and negotiations among organizational actors, through which patterns of behavior, attitudes, and perspectives become defined as legitimate. This is an underestimated dimension of the psychosocial work environment that should be assessed with two types of data: self-reports by employees of their experiences in the workplace (task-level control) and self-reports by employees and employers of collective or group-level norms. Hierarchical linear modeling is an especially useful tool for analyzing the relationships between workplace norms and different organizational outcomes because it allows researchers to separate the effects of individual-level variables from group or organizational-level factors. Our approach is anchored in the Nordic perspective of the work environment developed over the past 50 years.

scholarly journals Hypothesized, Directly-Coded Curve Shapes in Growth Curve Analysis: An Example

2013 ◽  
Vol 3 (2) ◽  
pp. 13 ◽  
Author(s):  
Patricia M. Herman ◽  
Lee Sechrest
Keyword(s):  
Hierarchical Linear Modeling ◽  
Growth Curve ◽  
Degrees Of Freedom ◽  
Growth Curves ◽  
Curve Analysis ◽  
Small Samples ◽  
Growth Curve Analysis ◽  
Linear Modeling ◽  
Individual Level ◽  
The Individual

Growth curve analysis provides important informational benefits regarding intervention outcomes over time. Rarely, however, should outcome trajectories be assumed to be linear. Instead, both the shape and the slope of the growth curve can be estimated. Non-linear growth curves are usually modeled by including either higher-order time variables or orthogonal polynomial contrast codes. Each has limitations (multicollinearity with the first, a lack of coefficient interpretability with the second, and a loss of degrees of freedom with both) and neither encourages direct testing of alternative hypothesized curve shapes. Especially in studies with relatively small samples it is likely to be useful to preserve as much information as possible at the individual level. This article presents a step-by-step example of the use and testing of hypothesized curve shapes in the estimation of growth curves using hierarchical linear modeling for a small intervention study. DOI:10.2458/azu_jmmss_v3i2_herman

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