Enhancing Innovativeness:The Role of Dynamic Marketing Capabilities

The gap between the relatively static marketing resources of a firm and the turbulent marketplace is growing in importance for both practitioners and academics alike. This paper explores how marketing capabilities, specifically market orientation, work synergistically with other organizational capabilities to form dynamic marketing capabilities that enhance firm innovativeness. Findings indicate that a tight integration between the technical and marketing functions of a firm creates a fertile transformation point, where market orientation infuses the innovation process. Market orientation interacts with these integrated capabilities to form a dynamic marketing capability that enhances the organization\u27s innovativeness. Implications include how these dynamic marketing capabilities differ between service and manufacturing firms, where only the cultural aspects of market orientation enhance performance in service firms

Predictors of failed attendances in a multi-specialty outpatient centre using electronic databases.

BACKGROUND: Failure to keep outpatient medical appointments results in inefficiencies and costs. The objective of this study is to show the factors in an existing electronic database that affect failed appointments and to develop a predictive probability model to increase the effectiveness of interventions. METHODS: A retrospective study was conducted on outpatient clinic attendances at Tan Tock Seng Hospital, Singapore from 2000 to 2004. 22864 patients were randomly sampled for analysis. The outcome measure was failed outpatient appointments according to each patient's latest appointment. RESULTS: Failures comprised of 21% of all appointments and 39% when using the patients' latest appointment. Using odds ratios from the mutliple logistic regression analysis, age group (0.75 to 0.84 for groups above 40 years compared to below 20 years), race (1.48 for Malays, 1.61 for Indians compared to Chinese), days from scheduling to appointment (2.38 for more than 21 days compared to less than 7 days), previous failed appointments (1.79 for more than 60% failures and 4.38 for no previous appointments, compared with less than 20% failures), provision of cell phone number (0.10 for providing numbers compared to otherwise) and distance from hospital (1.14 for more than 14 km compared to less than 6 km) were significantly associated with failed appointments. The predicted probability model's diagnostic accuracy to predict failures is more than 80%. CONCLUSION: A few key variables have shown to adequately account for and predict failed appointments using existing electronic databases. These can be used to develop integrative technological solutions in the outpatient clinic

Prevalence of osteoarthritis in lower middle- and low-income countries: a systematic review and meta-analysis.

Evidence from the Global Burden of Disease studies suggests that osteoarthritis (OA) is a significant cause of disability globally; however, it is less clear how much of this burden exists in low-income and lower middle-income countries. This study aims to determine the prevalence of OA in people living in low-income and lower middle-income countries. Four electronic databases (MEDLINE, EMBASE, CINAHL and Web of Science) were systematically searched from inception to October 2018 for population-based studies. We included studies reporting the prevalence of OA among people aged 15 years and over in low-income and lower middle-income countries. The prevalence estimates were pooled across studies using random effects meta-analysis. Our study was registered with PROSPERO, number CRD42018112870.The search identified 7414 articles, of which 356 articles were selected for full text assessment. 34 studies were eligible and included in the systematic review and meta-analysis. The pooled prevalence of OA was 16·05% (95% confidence interval (CI) 12·55-19·89), with studies demonstrating a substantial degree of heterogeneity (I2 = 99·50%). The pooled prevalence of OA was 16.4% (CI 11·60-21.78%) in South Asia, 15.7% (CI 5·31-30·25%) in East Asia and Pacific, and 14.2% (CI 7·95-21·89%) in Sub Saharan Africa. The meta-regression analysis showed that publication year, study sample size, risk of bias score and country-income categories were significantly associated with the variations in the prevalence estimates. The prevalence of OA is high in low-income and lower middle-income countries, with almost one in six of the study participants reported to have OA. With the changing population demographics and the shift to the emergence of non-communicable diseases, targeted public health strategies are urgently needed to address this growing epidemic in the aging population

Structured activity and multiple group memberships as mechanisms of increased depression among young people not in employment, education or training

Aims Young people Not in Employment, Education and Training (NEET) are at increased risk of depression, yet mechanisms of this association are poorly understood. We hypothesised that being NEET has both behavioural and social identity consequences and that reductions in structured activity and multiple group memberships underlie increased depression in this group. Our purpose was to assess first whether depression was greater for NEET compared to non‐NEET young people from the same geographical locality, and secondly, whether a loss of structured activity leading to a reduction in multiple group memberships explains the NEET‐depression association. Methods The present study was a cross‐sectional between‐groups design using convenience sampling. Measures of depression, structured activity and multiple group memberships were obtained from 45 NEET young people and 190 university students (non‐NEET). Results The NEET group reported significantly more depression symptoms compared to the non‐NEET student control group. A path model specifying NEET status as a predictor of depression, with this association mediated by a reduction in structured activity and fewer multiple group memberships (standardised indirect = 0.03, unstandardised indirect = 0.62, P = 0.052, 95% bias corrected confidence intervals [0.21,1.44]), provided excellent fit to our data: χ2(3) = 0.26, P = 0.968, comparative fit index (CFI) = 1.00, root mean square error of approximation (RMSEA)<0.01, standardized root mean square residual (SRMR) = 0.01). Conclusions Our findings suggest that depression is elevated amongst NEET young people compared to non‐NEET students from the same locality. The association between NEET status and depression was partially mediated by reduced structured activity and its association with reduced multiple group memberships. Although using cross‐sectional data, our findings suggest social interventions may be a key resource in ameliorating depression amongst NEET young people; through preserving engagement in structured activity and the wellbeing benefits derived from arising multiple group memberships. Methods: The present study was a cross-sectional between-groups design using convenience sampling. Measures of depression, structured activity and multiple group memberships were obtained from 45 ‘NEET’ young people and 190 university students (Non-‘NEET’). Results: The NEET group reported significantly more depression symptoms compared to the Non-NEET student control group. A path model specifying NEET status as a predictor of depression, with this association mediated by a reduction in structured activity and fewer multiple group memberships (standardised indirect = 0.03, unstandardised indirect= 0.62, p= .052, 95% Bias Corrected CIs [0.21; 1.44]), provided excellent fit to our data χ2(3)= 0.26, p= .968, CFI= 1.00, RMSEA< .01, SRMR= .01, AIC= 2,792.75, BIC= 2,818.20). Conclusions: Our findings suggest depression is elevated amongst NEET young people compared to Non-NEET students from the same locality. The association between NEET status and depression was partially mediated by reduced structured activity and its association with reduced multiple group memberships. Although cross-sectional, our findings suggest social interventions may be a key resource in ameliorating depression amongst NEET young people; through preserving engagement in structured activity and the wellbeing benefits derived from arising multiple group memberships

Using home remedies to control garden pests

Homeowners have a multitude of options for pest control. This guide suggests ways to control garden pests using safe and ordinary household chemicals. The good news is that the ingredients needed can be found in your kitchen or medicine cabinet. Examples include baking soda, beer, vegetable oil, chile peppers, vinegar, lemon juice, garlic, dishwashing soap, and rubbing alcohol. The following is a discussion on how to use some of these homemade remedies to control specific pests.Published December 2006. Please look for up-to-date information in the OSU Extension Catalog: http://extension.oregonstate.edu/catalo