Connecting strategic orientation,innovation strategy,and corporate sustainability: A model for sustainable development through stakeholder engagement

This paper aims to enhance our understanding of the relationship between organizations' strategic orientation (i.e., instrumental, equidistant, and stewardship) and their innovational strategy (i.e., organizational ambidexterity and open innovation), and this relationship's influence on their sustainability performance. We expected organizations' strategic orientation to influence their innovational strategy and exhibit better corporate sustainability. We focused on 12 different multinational organizations in the Eurozone and found that inbound open innovation acts as a driver for corporate sustainability while simultaneously positively enabling organizations to pursue both financial and social initiatives. After suggesting open innovation as a new corporate sustainability antecedent, we only found empirical evidence of inbound open innovation. However, we would suggest that if organizations incorporated outbound open innovation in their strategy, they could likely improve their corporate sustainability. Also, we found that achieving an equidistant or stewardship orientation paves the way for sustainability to become an integral part of an organization's innovational culture and actualizes the organization's strategic behavior. Our findings further contribute to a deeper understanding of organizations' characteristics as their sustainability commitment grows and as they move from an instrumental to a stewardship orientation and implement an open innovational strategy.     

Choosing for others

Experiments conducted in the US and France were used to study how individuals make trade-offs between health and taste for themselves and others. When someone receives a choice made for them that differs from their preference, they experience a welfare loss; at least in the short-term. We measure the empirical magnitude of this loss, and suggest it play a role in assessing the desirability of paternalistic policies motivated by behavioural economics. We show that the welfare loss changes with the provision of new information and the impact of this information differs for the two countries.     

THE MEASUREMENT OF GROSS NATIONAL PRODUCT IN KOREA

South Korea began its measurement of Gross National Product during the turbulent 1950's, a period of postwar rebuilding and of political and social changes. With only a small and largely inexperienced staff, and with little support from other statistical agencies whose data were essential to adequate GNP measurement, the Bank of Korea began this task in the early 1950's. Early estimates were extremely rough; over the years, the statistical staff was trained and other statistical agencies were upgraded. Measurements of output in the large agricultural sector and in manufacturing have gradually but consistently been strengthened as recent input-output data has been developed. Gaps still persist, particularly in the wholesale and retail sectors, but certain strengths are present: an outstanding job has been done in product pricing. The author describes the evolution of Korea's improving GNP program, presents its sources of data and its methodologies, and gives an assessment of problems of the past and prospects for the future.     

Nonlinear incentive provision in Walrasian markets: a Cournot convergence approach

The paper studies insurance with moral hazard in a system of contingent-claims markets. Insurance buyers are modelled as Cournot monopolists or oligopolists. The other agents condition their expectations on market prices, as in models of rational-expectations equilibrium with asymmetric information. Thereby they correctly anticipate accident probabilities corresponding to effort incentives induced by insurance buyers’ net trades. When there are many agents to share the insurance buyers’ risks, Cournot equilibrium outcomes are close to being second-best. In contrast, if insurance buyers are price takers, equilibria fail to exist or are bounded away from being second-best.     

Macroenvironmental forces,marketing strategy and business performance: A futures research approach

A method of futures research is used to empirically test a structure-conduct-performance (SCP) model in a marketing setting. It is proposed that within the macroenvironment there exist, varying levels of resource constraints and structural fluctuations which are positively correlated. Increased resource constraints and structural fluctuations, which are characteristics of a turbulent environment, are expected to increase the competitive intensity is an industry. This higher level of competitive intensity is hypothesized to result in increased use of nonprice marketing strategies. Nonprice marketing strategies are also expected to increase business performance because of the contingency relationship between conduct (strategy) and performance. The possible role of “blind” luck or stochastic processes in determining success is also discussed.     

Risks and threats to civilization, humankind, and the earth

This paper is a brief look at a wide range of risks that are said to present great threats to humankind. It was stimulated by several interacting factors. First, too many books and articles about astrophysical catastrophes, in the scientific and semi-scientific press, give relatively little attention to their timeframe or the measures to anticipate and prepare for them. Second, and most important, is that the overblown effects of 9/11 have distorted the United States of America's perspective and agenda on catastrophes. The result is that billions of dollars have been wasted and attention turned away from threats that could be truly catastrophic for the United States and, in many cases, for the rest of the world. Third, are books that have become popular by raising the threat that what will happen to us will be similar to what happened to earlier societies such as the Maya and the Easter Islanders. Most notably among these is Jared Diamond's Collapse [Jared Diamond, Collapse: How Societies Choose to Fail or Succeed, Penguin Group, 2005]. The failure in these doomsday arguments is to overlook the greater sophistication, knowledge, awareness, monitoring and preparation currently in the United States and in other parts of the globe. The institutional structure and scientific knowledge today would either prevent or deal with the kind of socio-economic decline anticipated by the “collapse” arguments. In contrast several geophysical and celestial risks do imply global catastrophe. The value of this paper is as broad background to the specific scenario papers that follow. While it leans heavily on the work of others, it offers three new features for the analysis of any extreme risk. First is a scale of devastation, based on deaths. Second is a comprehensive time frame—now to the end of the Earth. Third is an outline of general questions that must be addressed for any risk, however large or small, if it is to provide insight into policy choices and promote systemic thinking.     

The effect of earnings quality and country-level institutions on the value relevance of earnings

This study investigates the relationship between the value relevance of earnings and earnings quality across countries. We find that there is a stronger relationship between earnings quality and the value relevance of earnings in countries with high investor protection than in countries with weak investor protection. We also find that the association between the value relevance of earnings and earnings quality is higher when a country’s information environment is less opaque. Overall, our study documents evidence on international differences in the ability of stock prices to capture useful accounting information, consistent with the notion that the returns-earnings association reflects not only the quality of accounting earnings but also the informativeness of stock prices.     

Bias in estimates of discrimination and default in mortgage lending: The effects of simultaneity and self-selection

The common practices of estimating single-equation models of mortgage rejection to test for discrimination in mortgage markets or single-equation ex ante mortgage default equations to validate underwriting criteria produce biased and inconsistent parameter estimates. This is due to problems of simultaneous equations bias which arise because, in a world of imperfect information, mortgage terms are not exogenous to the rejection or default decision. In addition, mortgage default estimates are also subject to selection bias. Monte Carlo experiments are used to study the nature and extent of likely bias in single-equation estimation results. We find that rejection equation estimates indicate discrimination when none exists and that estimated coefficients of mortgage terms, such as the loan-to-value ratio, are also subject to significant bias in both rejection and default equations.