Search results

The purpose of this paper is to differentiate traditional industrial clusters from emerging consumption‐oriented and destination‐based regional service clusters (e.g. entertainment, service‐based tourism, and convention destination); to develop an analytical framework to examine the impacts of both cluster and network effects in service clusters; and to offer implications for managing service innovation to enhance regional development and global competitiveness.

By applying industrial cluster, strategic network, and value creation theories, this research develops a framework to study value creation in service clusters.

The research concludes that firms' decisions to enter or exit a service cluster depends on the net strategic effects, which is the sum of agglomeration economies (i.e. cluster effects) and the economies of network (i.e. network effects).

Further empirical research is needed to determine the significance of both cluster and network effects that determine firms' decisions to enter the service clusters.

First, firms need to incorporate cluster‐specific elements, such as experience economy, value networking, and service innovation to maximize the consumer's use value or perceived customer benefits. Second, in order to increase consumers' willingness to pay a higher price, firms located inside the service clusters need to adopt strategies, such as product or service differentiation, that increase the perceived benefits or use value of customers. Third, service cluster firms' other objectives should be to minimize location‐specific cost differentials by capitalizing on the positive effects of both agglomeration economies and economies of network. Fourth, public policy implications need to include laws and regulations that encourage and promote innovation and new ventures creation, competition in the marketplace, and capital investment to maximize value creation. Finally, policy makers need to promote high value‐added economic activities in the service clusters in order to maximize consumer welfare.

A growing number of policymakers and scholars have recognized the significant economic contributions from the consumption‐oriented regional clusters. This paper is the first effort to develop an analytical framework to study value creation in service clusters for effective managerial and policy decisions.

The cost of compliance is an essential variable to consider when administering a tax system. One recent study estimates that the yearly federal tax compliance burden in the US exceeds $431 billion dollars, and this cost does not include the potential greatest cost of all – changes in taxpayer behavior that reduces economic efficiency (Laffer, Winegarden, & Childs, 2011). One example of such behavior is the renunciation of US citizenship due to the impact of the Foreign Account Tax Compliance Act (FATCA) reporting requirements. Using this context, our study examines how FATCA compliance costs can affect taxpayer behavior in a manner that reduces economic efficiency. We collected responses from 197 experienced US taxpayers living in the US. Our study finds that when tax compliance costs are high, taxpayers may be more likely to renounce their citizenship to avoid FATCA reporting requirements. We further learn that tax compliance costs may increase the likelihood of citizenship renunciation even in the presence of a minimal US tax burden. Supplemental mediation analysis demonstrates that one's perceived fairness of compliance does not mediate the effect of high compliance costs on a taxpayer's renunciation decision; however, one's perceived fairness of compliance and fear of sanctions, collectively, partially explain the effect of tax burden on the renunciation decision. In addition, we find that ethics, the perceived probability of detection, and average income level affect the decision to renounce citizenship. Our findings suggest broader impacts of tax policy and provide a foundation for future research to further explore domestic and foreign tax compliance behaviors.

Policing agencies across the USA have cited difficulty recruiting qualified applicants, thus leaving many employment vacancies unfilled. One reason for this challenge may be that those who would make exceptional police officers are barred from employment because of their body art. Varying appearance policies exist concerning tattoos, yet little is known about these policies. The purpose of this paper is to survey the tattoo policies of policing agencies.

The tattoo policies of all 50 state-level policing agencies were reviewed to explore similarities and state-level correlates.

The majority, but not all, of state police have some type of appearance policy targeting tattoos. State policing agencies that have a “no visibility” policy regarding tattoos more often were in states with a low percentage of millennial residents, high percentage of young veterans, men and non-Hispanic white citizens, and low crime; t-tests indicate “no visibility” policy states significantly differed from other states in the percentage of non-Hispanic whites and crime. Further, state policing agencies with a “no visibility” policy tended to be in northeastern states, with southern states having the fewest state policing agencies with such policies, although the χ² test was non-significant.

Despite the ubiquity of tattoos in the American society, the literature is scant with studies of police appearance policies regarding tattoos. This study provides a partial summary of tattoo policies at the state policing level.

The research of industrial clusters, trust, and learning can be traced back to early strategic management and organization theory. The purpose of this paper is to review past literature and offer a conceptual framework that is related to industrial clusters, trust and learning.

This study incorporates a literature review to filter key factors of industrial clusters, trust and learning by using a deductive approach to conclude a conceptual framework.

This study provides a conceptual framework which includes a firm's industrial cluster involvement, trust and learning. Based on the literature, inter‐organizational trust may be strengthened due to reduced proximity and better information flow within a cluster. Further, industrial clusters encourage co‐evolution and co‐adaptation that stimulates effective learning practices for clustering firms.

This study uses a literature review and offers a conceptual framework to examine a firm's involvement in industrial clusters with the possible influences of trust and organizational learning. There is a need for empirical as well as statistical analysis to validate the framework and to obtain more insight.

Industrial clusters are widely considered a network‐based industrial system, with the aim of adapting to fast‐changing markets and technologies as an organized whole. Firms within a cluster can work together to co‐evolve for the purpose of enhancing competitiveness and entering the world market through effective learning and inter‐firm trust. As the sum of the benefit of a cluster is of greater value than each individual company or institution, whether to be involved in an industrial cluster to sustain competitiveness and enhance learning is worthy of managers' consideration.

The major contribution of this work is that it is the first attempt to produce the measures for a firm's involvement in industrial clusters for empirical tests, which are generally considered insufficient in this area of research. Further, this study offers a conceptual framework which brings cluster, trust and learning together for future empirical study.

The nature of policework is uniquely challenging to officers’ mental health, producing detrimental outcomes such as higher rates of suicide, substance abuse and divorce compared to other occupations. This is especially true in small and rural police departments, where officers often have broader responsibilities and cover a larger geographic area than their counterparts who work in large urban departments. Given the limited resources available to small and rural police, the purpose of this study is to explore the mental health services available to officers in small and rural police departments.

We used a mixed methods approach. First, we surveyed 349 small and rural Pennsylvania police chiefs about the mental health services in their department. Of these chiefs, 53 participated in subsequent in-depth qualitative interviews about officer awareness of the mental health services available to them, what resources they thought would be helpful to officers and what barriers exist to prevent officers from seeking help.

Quantitative results indicated that 22% of small and rural police departments had no mental health programs available to officers; Critical Incident Stress Management and Employee Assistance Programs were most commonly available. Budget size and the presence of a union influenced whether a department had mental health programs available to officers. Qualitative interviews found that although most departments provided some mental health services, officers were unlikely to use them. Chiefs expressed a need for improved services that officers might be more likely to use.

Given the lack of resources available in small and rural police departments and the lack of adoption of some resources, we recommend peer assistance, general wellness programs and telehealth as feasible options for officer mental health.

Small and rural police comprise the bulk of policing in the USA, yet remain understudied. This study focuses on small and rural police.

Internationally publicized cases of police violence against unarmed black men have led to calls for accountability in policing. Increased footage of police–public interactions, specifically through the form of police body-worn cameras (BWCs), is encouraged and considered an innovation that can improve the policing profession. However, BWC adoption is likely more feasible in big city departments than in small and rural departments, who respond to many of the same issues as their larger counterparts. The purpose of this study is to explore perceptions of BWC among leaders of small and rural police departments.

Using a mixed methods approach, the authors surveyed 349 chiefs of small and rural Pennsylvania police departments and conducted qualitative follow-up interviews with 53 chiefs.

The results indicate that both adopters and non-adopters esteem BWC in a positive light, particularly toward the ability to improve professionalism and police–community relations. Other findings and implications of these results will be discussed.

This study focuses on small and rural police departments, which make up the majority of police departments but are often understudied.

Research on human trafficking largely focuses on large, urban areas, yet it is a problem in small, rural areas. Police in these areas must have the training to identify human trafficking and resources to combat the issue – both of which may be lacking in small, rural areas. The purpose of this project is to explore police chiefs' perspectives on human trafficking in small, rural areas.

A mixed-methods approach was used to assess Pennsylvania police chiefs' understanding of human trafficking and their perspective of the extent of the problem in their area. First, 349 police chiefs completed an online survey during the summer of 2020. Follow-up in-depth interviews were conducted with 52 police chiefs.

Most chiefs believed human trafficking is a problem in Pennsylvania (81%) or in their local area (12%). Logistic regression analysis indicated chief experience, department budget and the number of employees affect small and rural police chief perceptions of human trafficking. Qualitative analyses identified three themes of police chief perceptions of human trafficking: conflation with prostitution, definitional debates and competing beliefs about prevalence. Training on identifying human trafficking would benefit small and rural police departments. Chiefs recommended outside assistance investigating human trafficking cases and other state-level resources would be helpful.

Scant research exists on small and rural police departments in the United States, especially in regards to human trafficking. This study contributes to the literature by addressing this gap with a mixed-methods approach.

The purpose of this paper is to construct a process theory of cluster development, in order to complement the many studies focusing on the factors that determine successful clusters.

This theory‐building effort relies on event‐driven methodology, which triangulates narratives collected at different points in time with other documented materials, in order to trace cluster development over a six‐year period. The empirical data are analysed according to theoretical classes formed a priori and anchored in Aldrich's framework of emergence, events and consequences. The idea is to identify critical events that subsequently inform theory development.

The authors show that three critical processes drive sustainable cluster development: the exploitation of current opportunities, the exploration of future opportunities, and processes that facilitate the balancing of the two. Whereas the conceptual focus in the extant literature is on exploration and exploitation processes, the authors find that balancing processes are also critical.

The paper's findings are of practical relevance to private and public policy makers with regard to the management and financing of balancing mechanisms that help to secure sustainable development. The authors will continue to follow the development of this specific cluster in order to identify a wider range of sub‐processes that contribute to the long‐term viability of clusters in general.

This work is original in the sense that it extends March's exploration and exploitation theory, applies it to the inter‐organisational context of clusters, and links the two processes through a process of balancing. The empirical evidence and the methodological approach used contribute in terms of building a “real process theory”, according to Aldrich's specification of an event‐driven research approach.

The purpose of this paper is to study the specialization of regional clusters and their innovative behaviour, in a particular Portuguese region.

A regional case study (Region Centro of Portugal) is used, employing secondary and primary data in order to measure specialized critical mass of a region's clusters and analyze their innovative behavior following the European Cluster Observatory (ECO) methodology.

Combining the different nature of data (primary and secondary), this paper identifies the specialized critical mass of a region's cluster, makes statements about the role of clusters in a regional context, and demonstrates how a regional clustering approach is important to understanding the innovative process. Based on an empirical survey, three types of clusters were found: basic, intermediate and advanced.

Among the research limitations is the undersized sample of primary data which does not allow deep findings to be drawn about the innovative behavior of the clusters in a general way. Therefore, future research should focus on this area, extending the empirical analysis presented here to add qualitative indicators on innovative behaviour, to calculate the impact of absorptive capacity in the case of regional clusters.

This study provides a consistent methodology of cluster operation which could be useful for undertaking comparative work within regions' clusters across different sectors and countries, to reinforce the importance of the current discussion of policy clusters, and to identify specific requirements and needs of each cluster in order to improve the quality of decision making and to draw some policy implications.

This paper is the first to measure specialized critical mass of a region's clusters at the enterprise level and to explain cluster innovative behaviour, combining primary and secondary, based on ECO criteria. Furthermore, it provides initial empirical evidence and an amount of significant findings to support managers and policymakers in the understanding of regional and innovation clustering of small to medium‐sized enterprises.