How to run successful e-internships: a case for organizational learning.

Purpose – The purpose of this paper is to outline unique learning experience that virtual/e-internships can offer small and medium-sized enterprises and start-up organizations. Design/methodology/approach – We interviewed 18 experts on e-internships (interns and managers of internships) across several countries to learn more about the learning experiences for both organizations and interns. The information from these interviews was also used to formulate a number of recommendations. Findings – The interviews provided insights into how e-internships can provide development opportunities for interns, managers and staff within these organizations. One important benefit pertains to the skill development of both interns and managers. The interns get unique working experiences that also benefit the organizations in terms of their creativity, input and feedback. In return, managers get a unique learning experience that helps them expand their project management skills, interpersonal skills and mentoring. Practical implications – We outline a number of recommendations that consider skill development, the benefit of diversity in numerous forms as well as mutual benefits for enterprises and start-ups. Originality/value – The discussion of the various benefits and conditions under which virtual internships will succeed in organizations provide practitioners an insight into the organizational opportunities available to them given the right investment into e-interns and internship schemes.

Is China's fifth-largest inland lake to dry-up? Incorporated hydrological and satellite-based methods for forecasting Hulun Lake water levels

Hulun Lake, China’s fifth-largest inland lake, experienced severe declines in water level in the period of 2000-2010. This has prompted concerns whether the lake is drying up gradually. A multi-million US dollar engineering project to construct a water channel to transfer part of the river flow from a nearby river to maintain the water level was completed in August 2010. This study aimed to advance the understanding of the key processes controlling the lake water level variation over the last five decades, as well as investigate the impact of the river transfer engineering project on the water level. A water balance model was developed to investigate the lake water level variations over the last five decades, using hydrological and climatic data as well as satellite-based measurements and results from land surface modelling. The investigation reveals that the severe reduction of river discharge (- 364±64 mm/yr, ~70% of the five-decade average) into the lake was the key factor behind the decline of the lake water level between 2000 and 2010. The decline of river discharge was due to the reduction of total runoff from the lake watershed. This was a result of the reduction of soil moisture due to the decrease of precipitation (-49±45 mm/yr) over this period. The water budget calculation suggests that the groundwater component from the surrounding lake area as well as surface run off from the un-gauged area surrounding the lake contributed ~ net 210 Mm3/yr (equivalent to ~ 100 mm/yr) water inflows into the lake. The results also show that the water diversion project did prevent a further water level decline of over 0.5 m by the end of 2012. Overall, the monthly water balance model gave an excellent prediction of the lake water level fluctuation over the last five decades and can be a useful tool to manage lake water resources in the future.