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The purpose of this paper is to leverage the perspectives of School Resource Officers (SROs) to develop improvement strategies aimed toward effective and efficient school-based policing. This study offers recommendations to improve SRO programs, with the goal of streamlining the path toward safer schools.

The present study was guided by two overarching research questions that aim to leverage the perspectives of SROs. The first question aimed to identify SROs’ perceived barriers to successful school-based policing, while the second question explores their perspectives in hopes of developing solutions for improved school safety. This study used secondary qualitative data to explore the perspectives of SROs (n=456) via an opened-ended section of a statewide survey of SROs conducted by the North Carolina Center for Safer Schools. Conventional content analysis was the approach used to explore the data.

SROs identified the need for improved quality of and access to training, additional resources allocations and improved program implementation on the part of both policing agencies and school districts.

The authors recommend standardizing the manner in which SRO programs are implemented. In addition, partnerships should be developed between school districts and policing agencies to use school-based behavioral specialists to support SRO programs. Finally, the authors recommend further study of school-based policing as a concept in the academic community.

Little is known about the experiences and needs of SROs themselves. The present studies address this gap in the literature, leveraging their perspectives to streamline a path toward safer schools.

The purpose of this paper is to examine the role of intellectual capital and knowledge management in the entrepreneurial success of firms through a research model which is subsequently tested empirically.

The paper utilises the knowledge-based perspective to formulate three sets of hypotheses which the authors subsequently test in the empirical analysis on data derived from the Orbis database, which includes over 1-million data points from approximately 240,000 firms across 174 geographic subdivisions of economic regions in 14 European countries, from 2010 to 2013. The analysis utilises probit model regressions on the likelihood of becoming a high-growth firms (HGF), in the presence of a number of control factors including firm age, firm size, tangible assets, foreign ownership, competitiveness (via Herfindahl index), return on assets, industry sector and country location.

Findings from our analysis suggest that investments in intangible assets and generating patents from research and development (R&D) efforts is positively related to the likelihood of becoming a HGF. In addition, cluster membership seems to be a positive influence on becoming a HGF, however the moderating impact of intangible investments and patents is less clear in clusters.

The authors highlight the mixed effects from cluster membership and the beneficial impact from intellectual capital and knowledge management in achieving high growth firm status.

The authors derive and test our research model, which outlines the interrelationship of the various factors leading to firms becoming high-growth firms. The results suggest that there may be further fruitful ground for future investigation in the intersections of knowledge management and intellectual capital concepts within entrepreneurial contexts.

Corporate controls are mechanisms that corporations use to ensure that the processes and/or outcomes of their business units meet corporate expectations. Challenges in measurement of corporate controls have led many researchers to operationalize them as part of the more ambiguous corporate effects construct, instead of addressing them separately. The purpose of this paper is to examine the significance of “fit” between corporate control mechanisms and business unit strategy in performance of business units.

The authors use ordinary least squares regression analysis on data collected between 2010 and 2012 from surveys from managers of 142 Iranian corporations and 1,822 of their subsidiaries. The authors also use financial and market data collected by an IDRO division and accessed through partnership in a joint project.

The authors found that while the fit between business unit strategy and corporate controls has a significant effect on business unit financial performance, it does not have a similar effect on market performance. The findings demonstrate that when business unit managers perceive that they are subject to a balance of strategic and financial controls with a slightly greater emphasis on strategic controls, then business units have higher financial and market performance, although the difference in financial performance is not significant.

The authors find that the misfit between corporate controls and business strategies in such cases could negatively affect the performance of the business unit. However, this research also contributes to a better understanding of the importance of strategic controls to the successful performance of business units. The findings show that while the fit between controls and strategy is most critical for achieving financial performance in business units that pursue product leadership, strategic controls play a more prominent role than financial controls in achieving higher financial or market share performance for all business units.

The findings of the propositions in this research would discourage corporations with tight financial control from engaging in acquisition of businesses considered to be product leaders in their relative product markets.

Past research focusing on the fit between corporate-level factors and business-level factors and their role on business performance are largely limited to conceptual work. The limited empirical studies completed in the past generally reduce control mechanisms to lack or absence of autonomy. This shortcoming has been mainly due to difficulties in measurement of control mechanisms. The empirical study overcomes these barriers and in doing so, reveals surprising findings related to the effectiveness of different control mechanisms.

Natural disasters, computer break‐ins, malevolent individuals, and terrorists threaten society at large and could destroy profitability or bankrupt a corporation. Less spectacular threats such as credit card fraud or defective products are a constant drain on profitability. Public interests and business interests often converge on surety issues. For example, national survival and corporate health depend upon delivery of communications and utilities and reducing injuries and other consequences of accidents, war, terrorism, or natural events. Surety technologies and strategies should be part of any modern corporate infrastructure and should complement insurance.

Behavioral economics poses a challenge for the welfare evaluation of choices, particularly those that involve risk. It demands that we recognize that the descriptive account of behavior toward those choices might not be the ones we were all taught, and still teach, and that subjective risk perceptions might not accord with expert assessments of probabilities. In addition to these challenges, we are faced with the need to jettison naive notions of revealed preferences, according to which every choice by a subject expresses her objective function, as behavioral evidence forces us to confront pervasive inconsistencies and noise in a typical individual’s choice data. A principled account of errant choice must be built into models used for identification and estimation. These challenges demand close attention to the methodological claims often used to justify policy interventions. They also require, we argue, closer attention by economists to relevant contributions from cognitive science. We propose that a quantitative application of the “intentional stance” of Dennett provides a coherent, attractive and general approach to behavioral welfare economics.

We take Cumulative Prospect Theory (CPT) seriously by rigorously estimating structural models using the full set of CPT parameters. Much of the literature only estimates a subset of CPT parameters, or more simply assumes CPT parameter values from prior studies. Our data are from laboratory experiments with undergraduate students and MBA students facing substantial real incentives and losses. We also estimate structural models from Expected Utility Theory (EUT), Dual Theory (DT), Rank-Dependent Utility (RDU), and Disappointment Aversion (DA) for comparison. Our major finding is that a majority of individuals in our sample locally asset integrate. That is, they see a loss frame for what it is, a frame, and behave as if they evaluate the net payment rather than the gross loss when one is presented to them. This finding is devastating to the direct application of CPT to these data for those subjects. Support for CPT is greater when losses are covered out of an earned endowment rather than house money, but RDU is still the best single characterization of individual and pooled choices. Defenders of the CPT model claim, correctly, that the CPT model exists “because the data says it should.” In other words, the CPT model was borne from a wide range of stylized facts culled from parts of the cognitive psychology literature. If one is to take the CPT model seriously and rigorously then it needs to do a much better job of explaining the data than we see here.

There are several ways to define words. One is to ascertain the formal definition by looking it up in the dictionary. Another is to identify what it is that you want the word-label to differentiate.