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The topic of human skeletal analysis is a sensitive subject in North America. Laws and regulations surrounding research of human skeletal material make it difficult to use these remains to characterize various populations. Recent technology has the potential to solve this dilemma. Three-dimensional (3D) scanning creates virtual models of this material, and stores the information, allowing future studies on the material. The paper aims to discuss these issues.

To assess the potential of this methodology, the authors compared processing time, accuracy and costs of computer tomography (CT) scanner to the Artec Eva portable 3D surface scanner. Using both methodologies the authors scanned and 3D printed one adult individual. The authors hypothesize that the Artec Eva will create digital replicas of <5 percent error based on Buikstra and Ubelaker standard osteometric measurements. Error was tested by comparing the measurements of the skeletal material to the Artec data, CT data and 3D printed data.

Results show that larger bones recorded by the Artec Eva have <5 percent error of the original specimen while smaller more detailed images have >5 percent error. The CT images are closer to <5 percent accuracy, with few bones still >5 percent error. The Artec Eva scanner is inexpensive in comparison to a CT machine, but takes twice as long to process the Eva’s data. The Artec Eva is sufficient in replication of larger elements, but the CT machine is still a preferable means of skeletal replication, particularly for small elements.

This research paper is unique because it compares two common forms of digitization, which has not been done. The authors believe this paper would be of value to natural history curators and various researchers.

The purpose of this paper is to examine how knowledge inflows and outflows interact to affect performance outcomes. Though previous studies have dealt with knowledge inflows and outflows, the quality and quantity characteristics of knowledge are often not taken into account, thus leaving a research gap with regards to the effect of their interactions on performance outcomes.

Based on Poisson regression analysis, this quantitative study fills the aforementioned research gaps by analyzing the ambidextrous configurations of knowledge flows from an ambidexterity perspective and examines their effects on two-phase performance (i.e. regular season and playoffs), using a longitudinal data set of National Basketball Association transactions from the 2003-2004 to 2014-2015 season.

The results suggest that the complementarity between knowledge inflows and outflows along the quality and quantity dimensions of knowledge, respectively, has a positive impact on two-phase performance, while the imbalance between knowledge inflows and outflows under the quality and quantity dimensions of knowledge, respectively, has a negative impact on playoffs performance (Phase 2). These findings suggest that organizations can balance knowledge inflows and outflows under a single quality or quantity dimension of knowledge. Furthermore, the interaction between the quantity of the inflows of knowledge and the quality of the outflows of knowledge and the interaction between the quality of the inflows of knowledge and the quantity of the outflows of knowledge are both positively related to two-phase performance. These findings suggest that organizations can balance knowledge inflows and outflows across quality and quantity dimensions of knowledge. Finally, the effects of the interaction between knowledge inflows and outflows on playoffs performance are greater than regular-season.

Organizations should leverage ambidexterity to manage/balance knowledge inflows and outflows across quality and quantity dimensions, further enhancing performance outcomes.

This study, first, provides new insights into knowledge flows by distinguishing between the quality and quantity of knowledge, the inflows and outflows of knowledge, constructing ambidextrous configurations of knowledge flows from an ambidexterity perspective. Second, it contributes to the relationship between knowledge flows and organizational performance by revealing how ambidextrous configurations of knowledge flows exert different effects on performance outcomes. Third, it adds to the literature of ambidexterity-performance relationships and expands it to the context of sports.

This article seeks to enhance the understanding as to why head coaches and general managers (GMs) in the National Basketball Association (NBA) and the National Football League (NFL) exit from their positions.

Three hypotheses were investigated using a series of quantitative and qualitative data from the past 30 years. The samples analyzed are comprised of 891 GM and coach annual observations for the NBA clubs and 949 GM and coach observations for the NFL clubs. Analyses include a logit analysis for coach exit/retention, a logit analysis for GM exit/retention and textual analysis via topic modeling via latent Dirichlet allocation.

Results show a correlation between a coach exiting and a GM exiting simultaneously, thus amplifying the importance of these two roles in enhancing or destroying the success of a club and supporting the need for a deeper understanding of both roles, particularly the GM. The results further highlight cultural differences across clubs in terms of GM and coach turnover, a factor that often is heavily influenced by club ownership.

The results support the role of owners in exits, confirm the importance of winning in avoiding an exit, find a high level of interrelationship between GM and coach exits and show that past culture of firings influences future exit decisions.

The purpose of this paper is to examine the influence of social support on young adults with disabilities (YAWDs) independent mobility behavior with the aim of understanding how better to support this vulnerable consumer segment in their transition into the workforce.

A survey was conducted which examined how social support (high and low) influenced YAWD’s path to independent mobility behavior. The data were analyzed using partial least squares-SEM.

It was identified that different factors were more effective at influencing independent mobility behavior for high and low socially supported YAWDs. For high social support individuals, anticipated positive emotions and perceived behavioral control were found to drive attitudes to independent mobility with perceived behavioral control significantly stronger for this group than the low socially supported group. For the low socially supported group, all factors were found to drive attitudes which then drove individual behavior. One entire path (risk aversion to anticipated negative emotions to attitude to behavior) was found to be stronger for low supported individuals compared to high.

This study is unique in that it is the first to identify the theoretical constructs that drive vulnerable consumer’s independence behavior and understand how these factors can be influenced to increase independence. It is also the first to identify that different factors influence independent behavior for vulnerable consumers with high and low social support with anticipated negative emotions important for consumers with low social support and perceived behavioral control important for those with high social support.

This study aims to present an extended service-profit chain (SPC) framework for assessing service performance. This framework is then used to investigate non-linear and asymmetric links between service delivery investments and customer satisfaction, as well as time lags in organisational performance outcomes.

The study draws on panel data with repeated measures from a sample of automotive after sales service departments. Data collected comprises both objective and survey-based data, including operational inputs, productivity, service quality, service experience, behavioural intentions, customer retention and organisational performance.

Non-linear and asymmetric effects are identified, suggesting that customers’ evaluations of service performance are more sensitive to negative performance (dissatisfaction) than positive performance (satisfaction). Accordingly, focusing on attributes for which customers are experiencing negative performance first, and then allocating resources to attributes for which customers are experiencing positive performance, can be far more consequential for improving customer satisfaction.

From a practical perspective, the findings deepen current understanding of the relationships between service performance metrics. They also provide guidance for managers seeking to better deploy service resources to enhance service quality, customer satisfaction and customer retention to improve profitability over time.

Drawing on a unique and rich data set, this study provides a significant improvement on previous SPC frameworks by adding new dimensions identified in recent meta-analyses and addresses calls for more research into non-linear, asymmetric and longitudinal effects within the SPC.

The purpose of this paper was to explore individual- and firm-level antecedents of the ability of a manufacturing firm's personnel to collaborate and integrate knowledge for organizational resilience practices.

The authors apply hierarchical regression analysis to study a sample of 192 European industrial equipment manufacturers. Data for each firm are collected from surveys of two key informants in each firm, as well as from public sources.

Firms' personnel’s ability to integrate information and knowledge for organizational resilience practices was positively related with the extent of the head of manufacturing's network of personal contacts inside the firm. This effect was stronger in firms with more formalized job descriptions and clearly defined roles. The head of manufacturing's orientation to teamwork and cooperation impacted this ability only in firms that did not financially incentivize cooperation. The authors also found that cooperation incentives and role formalization directly relate to firms' personnel’s ability to integrate information and knowledge for organizational resilience practices.

The study proposes to study organizational resilience practices through a transactive memory systems lens. The study is also the first to link characteristics of individual managers to firm-level resilience practices by examining the antecedents of firms' ability to integrate information and knowledge to recover from operational disruptions. Furthermore, the study serves to enhance the knowledge of resilience practices by examining the role of firm-level antecedents and their interplay with characteristics of individual managers.