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This study provides insight into factors surrounding knowledge reuse through electronic knowledge repositories (EKR).

A multi-theoretical framework is proposed that views knowledge reuse from both socio-technical and expectation confirmation model perspectives. Survey data are used to test associated hypotheses derived from the literature.

Results confirm the explanatory power of this approach to predict greater knowledge reuse and greater continuance of use.

Results suggest social and technical factors modelled interdependently affect knowledge reuse and lead to greater performance, knowledge sharing and continuance of use.

Practical and managerial recommendations for enhancing enablers of knowledge reuse via EKR are offered.

This study models enablers to knowledge reuse and resulting downstream effects on organizational outcomes. It provides an original framework for studying knowledge reuse within an EKR or knowledge management system perspective.

In this article the data are analysed on strike and normal working durations from three industries – the public school system, electronics, and seaports – over the period 1946 to 1987. The duration of strikes experienced immediately prior to negotiation is shown to have a positive effect on a bargaining unit′s duration of normal working during a current contract negotiation. For all three industries the impact of strike duration was greatest immediately following a strike; the longer the duration of the strike, the longer the ensuing normal working time.

The emergence of advanced manufacturing technologies such as Flexible Manufacturing Systems (FMS) is forcing organisations to re‐examine their manufacturing strategies. CNC machines are an integral part of FMS. The literature dealing with the downtime behaviour of these machines is sparse. The purpose of this article is to analyse the behaviour and forecast downtimes of these machines using Box‐Jenkins time series analysis. It is concluded that the models fitted to the data are appropriate, and the results of this study can be used in production planning.

Data are analysed on strike and normal working durations from three professions – the public school system, electronics, and seaports over the period 1946 to 1987. The duration of strikes experienced immediately prior to negotiation is shown to have a positive effect on a bargaining unit′s duration of normal working during a current contract negotiation. For all three professions, the primary finding of this study is that longer duration strikes in time t produce longer normal working time at time t + 1.

In this article a case study is reported which deals with identifying the sources of downtime, and a procedure which could help management to predict whether the daily production standards in auto assembly‐line operations could be met given the intensity of sources of downtime. This study was conducted for a large auto engine manufacturer. The engine assembly line under study is subject to good preventive maintenance to avert unexpected breakdowns that would shut down the line or lower the quality so as to reduce the yield in total. Two multivariate statistical procedures are used – factor analysis and multiple discriminant analysis.

This paper reports on an investigation of spatial patterns of out-of-hospital cardiac arrest (OHCA) incidence in a large American city. The purpose of this paper is to identify neighborhoods and public occupancies with highest risk in order to develop an evidence-based strategy to promote cardiac health and improve survival.

Two-tailed bivariate analysis was conducted using a Spearman correlation coefficient to check the covariance of census variables that were expected to relate to OHCA incidence. A principal component analysis was conducted on the remaining variables that statistically correlated with OHCA. Local indicators of spatial analysis was conducted to test the OHCA risk index and assess how well it predicts the observed OHCA incidence.

Clusters of OHCA events were found in neighborhoods with socially isolated older persons, as well as low-income minority populations. However, while past research has documented high-risk OHCA locations, these were not the case in this community.

The results highlight the importance of using local data to develop public health policies. Understanding neighborhood-level risks invariably guides resource allocation, service provision, and policy decisions to improve community public health and safety outcomes.

Even though 95% of children with neurodevelopmental disorders, including autism spectrum disorder (ASD), live in low- and middle-income countries, there is a dearth of studies from these countries, including the Republic of Georgia. Several ASD screening tools are available, but few are validated for use in Georgian or other smaller countries. This study aims to adapt and validate the autism spectrum screening questionnaire (ASSQ) for use in Georgia.

The ASSQ was administered for all third-grade students in 402 schools in the five main Georgian cities, n = 27,336. Prior to use, the 27-item ASSQ was translated, back-translated and adapted for use in Georgia. A total of 16,556 students (approximately 61%) were assessed by a parent and/or teacher. Optimal cutoff scores were estimated. Randomly chosen children who screened positive (n = 173) and negative (n = 127) were offered comprehensive assessment using standardized diagnostic procedures.

Data from 15,510 parents- and 13,517 teachers-administered ASSQ revealed statistically significant differences in median and cutoff scores between parents and teachers: 7 versus 4 and 9 versus 6, respectively. Cutoff score = 14, on either parent or teacher ASSQ, had sensitivity of 0.94, indicating that it can be used in school settings.

The Georgian adaptation of the ASSQ creates opportunity for further ASD research, while also providing a valid screening tool for clinicians. Data from Georgia will add to the growing understanding of the broader ASD phenotype.

The ability of production organizations to respond quickly to changes in the market with new products requires flexibility. The relationship between manufacturing flexibility and the performance of organizations in new product development is not well characterized. The purpose of this paper is to develop and test a flexibility model focused on new product performance in manufacturing organizations empirically in one industrial sector.

Hypothesized relationships between manufacturing flexibility, new product type, and new product performance are empirically tested using survey data from 273 companies, representing a range of US electronic manufacturers.

Factor and cluster analysis identifies eight distinct flexibility dimensions and a hierarchy among these dimensions. The relationships between the identified flexibility dimensions and new product performance, as tested through correlation analyses, are found to be dependent on the type of new product development.

Overall, this study highlights the complexity of the relationship between manufacturing flexibility and new product performance. This study is conducted in a specific sector, so the results cannot be generalized. More complex mathematical models, requiring a larger data set, would be helpful in further separating out direct and indirect effects of variables, such as new product type, on the relationship between flexibility and performance.

With multiple dimensions of flexibility, organizational leaders must choose the dimension(s) that is/are most appropriate to develop. This study helps provide insight into which dimensions of flexibility a particular plant should focus on, given a particular type of new product.

The study has made a significant contribution by identifying the dimensions of flexibility related to new product performance and in proposing a hierarchical structure for these dimensions. This study has also made a contribution by providing empirical support for the role of new product type as a moderator in the flexibility/performance relationship.

The purpose of this paper is to present a systematic review of flexibility, to identify the gaps in theory and to propose a future research agenda.

This paper combines a systematic review and thematic analysis of scholarly articles of flexibility. The articles are analyzed to explicate the dynamics of flexibility in service operations. Thematic analysis was done using NVIVO 10.0 to identify key approaches, trends and future research agenda.

The review reveals ten different themes that highlight the future research avenues and points out that an integrative framework to assess the field of flexibility, particularly in developing countries, is largely missing in the literature. The study also provides a set of research questions to enhance its explanatory power.

Articles that explicitly mention “flexibility” were only included, however, there may be several unexploited areas regarding the influence of different variables on flexibility. The study is based on the inductive analysis of 650 published articles on flexibility retrieved from the electronic database. The framework proposed in the study is conceptual and requires empirical testing in future research.

The study synthesizes the flexibility literature and contributes to a set of ten distinct themes that extricate the dynamics of flexibility. The study provides a comprehensive review of the relevant articles and identifies the theoretical gaps in the research area of service operations flexibility that can be used by academia and industry for promoting flexibility.

The purpose of this paper is to test the relationship between organizational antecedents, pricing capabilities, and firm performance.

Quantitative survey of 748 managers from mostly large companies globally.

It was found that the following five key organizational resources (the 5 Cs) – center-led price management, organizational confidence, championing behaviors, organizational change capacity, and pricing capabilities – positively influence firm performance. Furthermore, it was found that center-led price management, organizational change capacity, and championing behaviors act as important antecedents to pricing capabilities and, except for the former, to organizational confidence. The authors also examine interaction and mediation effects.

The results thus suggest that generic organizational factors – namely center-led price management – as well as highly idiosyncratic firm, specific capabilities – namely organizational confidence, championing behaviors by top management, organizational change capacity, and pricing capabilities – are key requirements to increase firm performance via pricing.