The intervening role of ambidexterity in the knowledge management project success connection

Rawan Alshawabkeh,

Amani Abu Rumman,

Lina Al-Abbadi,

Ayman Abu-Rumman

Published: Sept. 14, 2020

Enhanced positive outcomes and benefits require project management to be integrated with knowledge management (KM) to induce ambidexterity and project success. To offer an empirical insight into this issue and advance the field of knowledge further, this research studies the mediating role of ambidexterity within the KM project success connection. The data collected from a sample of 350 senior people who have familiarity with relevant capital projects in the manufacturing companies in Jordan were analyzed using the algorithm of partial least squares (PLS) and bootstrapping techniques. The f indings of the study show that KM is an integral aspect of …

The economic and social drivers of renewable energy development in OECD countries

Leonid Melnyk,

Hanna Sommer,

Oleksandra Kubatko,

Marcin Rabe,

Svitlana Fedyna

Published: Oct. 9, 2020

There are continuous research and practical interest to combine different renewable sources within one Smart Grid network. The paper aims to estimate the influence of key economic and social drivers of renewable energy and Smart Grid promotion in OECD member countries. The random effect of the generalized least squares method was used to estimate the empirical model based on the World Bank, OECD, Heritage Foundation, and World Energy Council datasets for a panel of 36 OECD counties. For the empirical estimation, the dependent variables considered are energy renewable electricity output and energy trilemma index, taken as two proxies for Smart …

The impact of social distancing policy on small and medium-sized enterprises (SMEs) in Indonesia

Muhtar Lutfi,

Erdiyansyah,

Erdiyansyah,

Pricylia Chintya Dewi Buntuang,

Yoberth Kornelius

Published: Oct. 12, 2020

This study aims to investigate the impact of social distancing policies on SMEs in Indonesia. It used a quantitative method with a survey design. Respondents were all SMEs in Indonesia that are affected by social distancing policies during the COVID-19 pandemic. It involved a total of 587 SME samples selected randomly. The data were collected through observations, questionnaires, and literature studies. The collected data were analyzed using descriptive statistics with SPSS software to determine the mean value. The result showed that social distancing policies affect SMEs during the COVID-19 pandemic. This is indicated by the decreasing income and demand for …