Natural resources conservation management and strategies in agriculture

This paper suggests a holistic framework for assessment and improvement of management strategies for conservation of natural resources in agriculture. First, it incorporates an interdisciplinary approach (combining Economics, Organization, Law, Sociology, Ecology, Technology, Behavioral and Political Sciences) and presents a modern framework for assessing environmental management and strategies in agriculture including: specification of specific “managerial needs” and spectrum of feasible governance modes (institutional environment; private, collective, market, and public modes) of natural resources conservation at different level of decision-making (individual, farm, eco-system, local, regional, national, transnational, and global); specification of critical socio-economic, natural, technological, behavioral etc. factors of managerial choice, and feasible spectrum of (private, collective, public, international) managerial strategies; assessment of efficiency of diverse management strategies in terms of their potential to protect diverse eco-rights and investments, assure socially desirable level of environmental protection and improvement, minimize overall (implementing, third-party, transaction etc.) costs, coordinate and stimulate eco-activities, meet preferences and reconcile conflicts of individuals etc. Second, it presents evolution and assesses the efficiency of diverse management forms and strategies for conservation of natural resources in Bulgarian agriculture during post-communist transformation and EU integration (institutional, market, private, and public), and evaluates the impacts of EU CAP on environmental sustainability of farms of different juridical type, size, specialization and location. Finally, it suggests recommendations for improvement of public policies, strategies and modes of intervention, and private and collective strategies and actions for effective environmental protection

Predictability of catastrophic events: material rupture, earthquakes, turbulence, financial crashes and human birth

We propose that catastrophic events are "outliers" with statistically different properties than the rest of the population and result from mechanisms involving amplifying critical cascades. Applications and the potential for prediction are discussed in relation to the rupture of composite materials, great earthquakes, turbulence and abrupt changes of weather regimes, financial crashes and human parturition (birth).Comment: Latex document of 22 pages including 6 ps figures, in press in PNA

Stock market crashes, Precursors and Replicas

We present an analysis of the time behavior of the $S\&P500$ (Standard and Poors) New York stock exchange index before and after the October 1987 market crash and identify precursory patterns as well as aftershock signatures and characteristic oscillations of relaxation. Combined, they all suggest a picture of a kind of dynamical critical point, with characteristic log-periodic signatures, similar to what has been found recently for earthquakes. These observations are confirmed on other smaller crashes, and strengthen the view of the stockmarket as an example of a self-organizing cooperative system.Comment: accepted for publication in J.Phys.I Franc

Should I make or should I buy? Innovation strategies and governance structures in the Italian food sector

This paper analyses the “make or buy” decision of food firms applied to innovation strategy using 389 Italian food firms data from the Unicredit 2007 database. We develop a set of hypothesis from three theoretical perspectives such as transaction cost economics, strategic management and resource-based view. Our paper aims at highlight whether or not different firm’s features can be linked to the decision to make or buy. We found out that these two decisions are positively interlinked. Moreover we also found out that it is difficult to indicate a clear-cut behaviour for the Italian food firms if we refer to making or buying decisions. We discuss these results and use them to bring some interesting outcomes to discuss managerial implications and/or policy interventions in this highly strategic domain

Coordination, Cooperation, and Collaboration: Defining the C3 Framework

The term C3 refers to the framework of coordinative, cooperative and collaborative relationships within the realm of external supply chain partnerships. Each unique partnership offers both benefits and challenges within a supply chain and must be aligned with company and supply chain strategy in order to achieve maximum effectiveness. This paper aims to fill the current void in supply chain literature concerning C3 by defining each term based upon current supply chain research as well as give the most prevalent characteristics and differences between each “C” in this phase model. This research is then compared to the industry through a case study of a major international retailer. Finally, we propose a set of propositions that organizations can use to assess at what level their external relationships reside within the phase model as well as how companies move and evolve their relationships between the levels and what the trigger mechanisms are in this evolution

Large financial crashes

We propose that large stock market crashes are analogous to critical points studied in statistical physics with log-periodic correction to scaling. We extend our previous renormalization group model of stock market prices prior to and after crashes [D. Sornette et al., J.Phys.I France 6, 167, 1996] by including the first non-linear correction. This predicts the existence of a log-frequency shift over time in the log-periodic oscillations prior to a crash. This is tested on the two largest historical crashes of the century, the october 1929 and october 1987 crashes, by fitting the stock market index over an interval of 8 years prior to the crashes. The good quality of the fits, as well as the consistency of the parameter values obtained from the two crashes, promote the theory that crashes have their origin in the collective ``crowd'' behavior of many interacting agents.Comment: 14 pages and 4 figures. To be published in Physica

Co-evolutionary dynamics in strategic alliances : the influence of the industry lifecycle

This study examines the application of the co-evolution literature to strategic alliance formation in SME’s in the UK and Australia in two differing industries at different stages of the industry life-cycle. Extending the framework developed by Das and Teng (2002) and that of Wilson and Hynes (2009), it engages with wider industry and environmental characteristics present in these two countries, specifically examining whether different theories of alliance formation are better suited to different stages of an industry life cycle. The issues discussed above are explored and developed through the use of a qualitative case study approach. Findings indicate strong resource-based drivers for alliance formation in both industries, with firms dependent on the co-evolution of their alliances and indeed selected by the results of their alliance participation. However, differences emerged in the strategic use of alliances in these two industries. The influence of the stage of the industry life cycle on this is discussed