Search results

Prior studies examining the relationship between organizational commitment and organizational behavior contain several limitations, such as mixed levels of measurement and lack of empirical study in different social contexts. Using Mowday, Porter, and Steers's approach, this study aims to investigate individual demographic, personal, departmental and community characteristics as factors affecting police officers' levels of strategy commitment.

Using attitudinal measures of individual, departmental, and community traits, which were developed by Michigan Regional Community Policing Institute, the current study collected data from 206 randomly selected South Korean police officers who were designated as community‐oriented policing (COP) officers or who were under COP training at the time of the survey.

The current study found that officers' creativity and community ownership were significantly related to strategy commitment to COP. In addition, it was found that officers' demographic characteristics were not significantly related to the levels of commitment to COP. Regarding departmental characteristics, supportive climate among officers was significantly and positively related to officers' levels of commitment to COP. Finally, officers in rural agencies were more likely to have higher levels of commitment to COP in South Korea.

Although the current study utilized random samples for data collection, the size of the data set was relatively small. Thus, generalization of the findings from this study should be cautiously carried out. Based on the findings, policy implications are suggested.

The current study attempts to identify factors affecting commitment to COP at multiple levels (individual, organizational and community levels) using attitudinal measures of various aspects of policing in South Korea. The findings will add to the comparative understanding on officers' commitment to COP.

Scholarly knowledge of organizational founding in the nonprofit sector has grown not from macro-level analyses but rather from the aggregation of in-depth and focused studies of particular geographical regions or service fields. Employing logistic regression techniques, this paper examines the formation of nonprofits in one key but overlooked site of the voluntary sector: workplace charity. Testing competing theories, the paper analyzes the effect of demand-side, supply-side, and community-level characteristics on the presence of rival federated fundraisers in the largest 123 MSAs in 2000. The results indicate that these nonprofit organizations are formed in large cities with a sizeable and stable nonprofit sector, regardless of ease of access to charitable contributions and the level of available funding.

In an online brand community (OBC), consumers as a group occupy a dominant position, and their horizontal interactions are pivotal for the consumer–brand relationship. However, little is known about the effect of group characteristics on brands. To partially fill this gap, this study examines how group characteristics influence brand loyalty from the perspective of social identity theory. Specifically, by collecting data from an online survey, this paper investigates the effects of group similarity, group receptivity and group involvement on brand loyalty, the mediating role of community identification and the moderating effect of tenure in a community.

Data from 482 brand community members were analyzed using structural equation modeling.

The results show that group similarity, group receptivity and group involvement increase brand loyalty; furthermore, the effect is mediated by community identification. Moreover, group receptivity is more effective in fostering community identification of short-tenure members, whereas group similarity plays a more important role for long-tenure members.

This paper enriches the brand community literature from a group perspective and provides implications for how brand communities develop customer loyalty strategies.

Explores how rural communities support or constrain school‐level processes which enable effective instruction to occur. Grounded in a conceptual framework of school context indicators, reviews the research and literature on rural education to describe rural community characteristics. Then utilizes analytic induction to consider how these characteristics may influence the school processes identified. The findings suggest that rural community influences are not immutable, and that communities can both constrain and enable structural and cultural aspects of schools which shape effective instruction, depending in large part on how the school mediates the community′s influences. Then offers suggestions for research and development in rural schools.

This study aims to explore the value co-creation for developing cultural and creative virtual brand communities (CCVBCs) by developing a conceptual framework based on the stimulus-organism-response framework, social cognition theory (SCT) and social exchange theory (SET).

The proposed conceptual framework was developed from a comprehensive review of the related literature. This study tested and validated the proposed framework using partial least square structural equation model based on the data collected through a survey.

First, perceived hedonic benefit was positively affected by content personalization, user interaction design and technological innovation. Perceived social benefit and perceived self-achievement benefit were positively affected by user interaction design and technological innovation. Second, user content creation behavior was affected by perceived social benefit and perceived self-achievement benefit; user browsing behavior was significantly affected only by perceived hedonic benefit, and interaction behavior was significantly affected by perceived hedonic benefit, perceived social benefit and perceived self-achievement benefit. Third, perceived social benefit and perceived self-achievement benefit partially mediated the relationship between user interaction design and interaction behavior. As for the influence of technological innovation on interaction behavior, however, and the influence of user interaction design and technological innovation on content creation behavior, both perceived social benefit and perceived self-achievement benefit had complete mediation.

This study found that the characteristics of developing CCVBCs affected perceived benefit in participating in the value co-creation process. The results contributed to the value creation research by enriching the understanding of user value co-creation in developing CCVBCs.

The purpose of this paper is to attempt to calculate the trust degree between two enterprises in an industrial network using grey correlation degree algorithm for exploring characteristics of community structure and evolution rules of cluster cooperation networks in axle‐type and satellite‐type clusters.

Starting from analysis of trust formation mechanism of inter‐enterprise in industrial networks, adjacency of inter‐enterprise relationship, their information acquisition ability, their influence power in network and their past interaction experience are chosen as influencing factors of the trust between two enterprises. Grey correlation degree algorithm was chosen to calculate the trust degree between two enterprises in an industrial network. According to the rules of dynamic adjustment of trust degree originated from thoughts of the prisoners' dilemma model, computer simulation is applied to explore characteristics of community structure and evolution rules of cluster cooperation network in axle‐type and satellite‐type clusters.

With the dynamic adjustment of enterprises' trust degree, the network density of axle‐type and satellite‐type cluster networks was decreasing as the cluster scale was enlarging, and eventually tended to be stable; community structure was emerged in axle‐type and satellite‐type industrial clusters as the cluster scale was enlarging; community characteristics were obviously stronger in axle‐type cluster networks than in satellite‐type; communities were overlapped in axle‐type cluster networks, that is, bridge nodes emerged between communities.

This paper is the first to apply the grey correlation degree algorithm to calculate the trust degree between two enterprises in cluster networks for designing the rules of dynamic adjustment of trust degree.

Interprofessional collaboration (IPC) is increasingly important in work and workplace learning. The purpose of this paper is to investigate the characteristics of IPC that are relevant for learning and developing at work.

We examine IPC in the discussion data of health care professionals when designing, implementing and evaluating developmental tasks. Qualitative content analysis is carried out on temporally sequential task trajectories, considering IPC from the perspective of the objects and goals of IPC task activity in developmental efforts.

The developmentally relevant characteristics of IPC are crystallized in the concepts of coordination, co-creation and community building, which play different, interdependent roles in development efforts. We show their interplay and how they complement each other in practice.

Our findings regarding IPC characteristics are to be interpreted as working hypotheses and resources for further research.

Understanding the dynamics of IPC is useful for renewing work practices. Attention to the interplay and complementarity of IPC characteristics may help in the design and implementation of effective and sustained development efforts.

The dynamics of IPC in developmental settings have not been sufficiently studied. This paper proposes three developmentally relevant and intertwined characteristics of IPC for scholars of workplace learning.

The purpose of this paper is to examine the relationship between community type classifications and police strength. Prior research has examined other correlates, but no attempts have been made previously to examine the relationship between community type (as outlined and defined by Chinni and Gimpel, 2010) and police staffing levels.

Using a combination of NDLEA data on police strength, Uniform Crime Report data on crime, census data, and Chinni and Gimpel’s (2010) community classifications, this paper analyzes the relationship between a variety of correlates and police strength in 15,917 communities.

The study found that police staffing does differ by community type as well as by a variety of other key community characteristics.

This implies that further research on appropriate tools to determine appropriate staffing levels is needed.

This work indicates that traditional “peer benchmarking” approaches used to determine police strength should not be considered the best practice. Other approaches may be more appropriate and should be examined.

This is the first study to incorporate classifications of community type in the analysis of police strength.

Each ethnic group has its own peculiar cultural practices that may widen inequalities in child health and survival among ethnic groups. This study estimated ethnic disparities in mortality of under‐five‐year‐olds, controlling for individual and community level characteristics. Using multilevel multivariable regression analysis on a nationally representative sample drawn from 7,864 households in the 2003 Nigeria Demographic and Health Survey, we estimated the risks of deaths under‐five‐year‐olds for 6,029 children nested within 2,735 mothers aged 15‐49 years old, who were in turn nested within 365 communities. Results were expressed as odds ratios with 95% confidence intervals. The observed risk of under‐five death was highest among children of Hausa/Fulani/Kanuri mothers and lowest among children of Yoruba mothers. The mother's affiliation to the Yoruba ethnic group, compared to Hausa/Fulani/Kanuri, was still significantly associated with decreased under‐five mortality (OR = 0.66, 95% CI = 0.45 ‐ 0.96) after adjustment for individual and community level factors. Under‐five mortality was significantly related to socio‐economic and demographic factors (birth order/birth interval, mother's age, and mother's education), which explained much but not all of the ethnic disparities. Findings underscore the need for measures aimed at improving female education and the socio‐economic standard of women, changing short birth spacing norms and reducing inequitable distribution of maternal and child health services.

A popular practice of community‐policing is police attendance at community meetings. Given the prevalence of this co‐productive activity, research needs to understand the potential variation in police‐community interactions occurring in or reported in community meetings. Developing reliable and valid measurement techniques to characterize interactions occurring at police‐community meetings has strategic planning value for police and community practitioners and scholarly theoretical value. Two observational coding (issue‐specific and global) and sampling (continuous and periodic) strategies are contrasted. Methodological trade‐offs regarding validity, utility, strategic planning value, and theory‐testing value of the different methods are detailed. It is concluded that global measures of police‐community interactions and periodic observations of police‐community meetings can help with understanding variation in police‐community meetings and implementation effectiveness of co‐productive strategies. Yet, to validly understand the cause and effects of police‐community co‐production on building community and public safety, issue‐specific coding strategies and continuous observations of community meetings are necessary.