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While climatic conditions are believed to have some influence on triggering conflicts, the existing empirical results on the nature and statistical significance of their explanatory role are not conclusive. We construct a dataset for a sample of 139 countries which records the occurrence of an armed conflict, the annual average temperature and precipitation levels, as well as the relevant socioeconomic, demographic, and geographic measures over the 1961–2011 period. Using this dataset and controlling for the effect of relevant nonclimate variables, our comprehensive econometric analyses support the influencing role of climatic factors. Our results are robust and consistent with the hypothesis that climate warming is instrumental in raising the probability of onset of internal armed conflicts and suggests that, along with regulating population size and promoting political stability, controlling climate change is an effective factor for inducing peace by way of curtailing the onset of armed conflicts.

Innovation and technology development policy-making naturally encounters numerous uncertainties and complexities, especially in developing countries, for the sake of the prevailing prospect of decision makers focusing on hard evidences, and neglecting key and effective social ones; in this research, a context-based method by means of Q-methodology was designed to facilitate policy-making for complex systems by bridging between policy and practices (latent in viewpoints) through providing context-based evidences.

Due to the nature of knowledge-based systems, the performance of Innovation and Technology Development (ITD) systems is highly dependent on the standpoints of key players/stakeholders of the system. In consideration of Iran’s economy characteristics, Upstream Oil and Gas (UOG) Industry, which is one of the complex Large Technical Systems (LTS), was selected as a case study. Regarding the features of LTSs, the designed model was completed by adding hierarchical clustering method, as well as using the framework of innovation and technology learning transition model to analyze the results.

The results showed the capability of the model in providing credible evidences to inform policy-making processes.

This study is one of the first real experiences which used Q-method for providing evidence-based policy-making model in a complex Large Technical System, namely, Upstream Oil and Gas (UOG) Industry.

The paper aims to foster a better understanding of knowledge management (KM) benefits by integrating the qualitative findings of prior research under a multilayer conceptual framework.

A meta-synthesis approach was conducted by adopting “Noblit and Hare’s” seven-step method.

A breakdown structure for KM benefits which encompasses 3 “macro benefits” at Level 1, 7 “benefits” at Level 2 and 44 “micro benefits” at Level 3.

The main limitation is that this research does not provide criteria and measures to assess the benefits of KM.

Organizations which intend to invest in KM can obtain a better insight about outcomes and benefits of implementing KM initiatives. This study will provide those organizations which have already invested in KM with some ideas to evaluate their KM efforts qualitatively.

Based on available data, this study is the first of its kind that has identified the benefits of KM in three layers. Also, the number of KM benefits identified in this study is greater than that of any previous research.

The purpose of this paper is to empirically examine the impact of earnings management on capital structure across firm diversification strategies.

The study focuses on firms operating in the manufacturing sector (diversified and focused). Panel data methodology compares diversification strategies and identifies the impact of diversification strategy with earnings management practices on capital structure decision.

International and product diversified firms have lower levels of leverage than focused firms in their capital structure. Asset-based earnings management is positive for diversified (market/product) firms. Earnings management using discretionary expenditure (project based) is found to be higher for market diversified but product-focused firms. Earning smoothing method is found to be significant for focused firms and shows a negative relationship with capital structure.

This study offers an insight into the relationship between corporate diversification, earnings management and capital structure decisions of manufacturing firms. The results provide an important contribution to accounting and strategy literature. A distinction is made between market- and product-diversified firms and influence of earnings management practices (asset-based, project-based and earnings smoothing (ESM)) on capital structure decisions. Diversified firms (market/product) tend to have lower levels of leverage than focused firms and earnings management practices within firm groups significantly influence the capital structure decisions.