A Quality Approach to Tacit Knowledge Capture: Effective Practice to Achieving Operational Excellence

Knowledge loss resulting from an aging workforce continues to be a management nightmare that has obliged many organizational leaders to develop strategies aimed at documenting mission-critical knowledge. Yet knowledge captured and stored in repositories continues to lack quality. The purpose of this study was to explore the impact of integrating quality management into the tacit knowledge capture process. Further studies on the effects of personality in the knowledge capture processes could lead to insights on reasons for diminished knowledge quality. From a social perspective, the implementation of a model that encompasses personality and quality management could improve decision-making processes

Outcomes of Enterprise Resource Planning System on Organizational Productivity

Leaders within local government organizations do not understand how to achieve expected and desired benefits from the implementation of enterprise resource planning (ERP) systems. The lack of alignment between social and technical elements in ERP implementation continues to depress organizational productivity. The prime objective of our quantitative correlational study was to examine whether social and technical elements increase use and productivity in ERP implementation. Sociotechnical systems theory provided the theoretical basis for our study. We examined six dimensional variables relating to ERP implementation. Our key findings indicated positive significant relationships between ERP and information sharing, between ERP system quality and ease of ERP use, and between ERP system quality and organizational productivity. Further studies could examine other dimensions that could ensure ERP sustainability in other government organizations

Floral turnover and climate drive seasonal bee diversity along a tropical elevation gradient

The contribution of seasonality in species communities to elevational diversity of tropical insects remains poorly understood. We here assessed seasonal patterns and drivers of bee diversity in the Eastern Afromontane Biodiversity Hotspot, Kenya, to understand the contribution of seasonality to elevational biodiversity patterns. Bee species and plant species visited by bees were recorded on 50 study plots in regrowth vegetation across four major seasons along two elevation gradients from 525 to 2530 m above sea level. Bees were sampled by transect walks using sweep nets and aspirators. We examined how local species richness (α-diversity) and seasonal changes in local species communities (β-diversity) contribute to species richness across seasons (γ-diversity) along elevation gradients. Using a multimodel inference framework, we identified the contribution of climate and floral seasonality to elevational patterns in bee diversity. We found that both α- and γ-diversity decreased with elevation. Seasonal β-diversity decreased with elevation and the high turnover of species across seasons contributed to a considerably higher γ- than α-diversity on study plots. A combination of seasonality in climate and the seasonal turnover of floral resources best explained the seasonality in bee species communities (seasonal β-diversity). We, therefore, conclude that, despite the more stable, and favorable climatic conditions in the tropics (in comparison to temperate regions), climatic seasonality and its influence on bees’ floral resources largely determined seasonal patterns of bee species diversity along elevation gradients on tropical mountains.JRS Biodiversity Foundation (grant number: 60610), UK’s Foreign, Commonwealth & Development Office (FCDO), the Swedish International Development Cooperation Agency (Sida), the Swiss Agency for Development and Cooperation (SDC), the Federal Democratic Republic of Ethiopia, and the Government of the Republic of Kenya.https://onlinelibrary.wiley.com/r/ecs2am2023Zoology and Entomolog

Seasonal and elevational changes of plant‐pollinator interaction networks in East African mountains

Abstract Across an elevation gradient, several biotic and abiotic factors influence community assemblages of interacting species leading to a shift in species distribution, functioning, and ultimately topologies of species interaction networks. However, empirical studies of climate‐driven seasonal and elevational changes in plant‐pollinator networks are rare, particularly in tropical ecosystems. Eastern Afromontane Biodiversity Hotspots in Kenya, East Africa. We recorded plant‐bee interactions at 50 study sites between 515 and 2600 m asl for a full year, following all four major seasons in this region. We analysed elevational and seasonal network patterns using generalised additive models (GAMs) and quantified the influence of climate, floral resource availability, and bee diversity on network structures using a multimodel inference framework. We recorded 16,741 interactions among 186 bee and 314 plant species of which a majority involved interactions with honeybees. We found that nestedness and bee species specialisation of plant‐bee interaction networks increased with elevation and that the relationships were consistent in the cold‐dry and warm‐wet seasons respectively. Link rewiring increased in the warm‐wet season with elevation but remained indifferent in the cold‐dry seasons. Conversely, network modularity and plant species were more specialised at lower elevations during both the cold‐dry and warm‐wet seasons, with higher values observed during the warm‐wet seasons. We found flower and bee species diversity and abundance rather than direct effects of climate variables to best predict modularity, specialisation, and link rewiring in plant‐bee‐interaction networks. This study highlights changes in network architectures with elevation suggesting a potential sensitivity of plant‐bee interactions with climate warming and changes in rainfall patterns along the elevation gradients of the Eastern Afromontane Biodiversity Hotspot